Zokopedia

Big Data

2020-11-16T03:07:00.003-08:00

Data collection and interpretation are very important to the seed breeding program. Without data and its interpretation, progress is impossible. Technology will create the ability to collect new data, and the effective innovation of a successful company will result. In addition, as technology evolves, the cost of technology decreases. For example, the cost per gigabyte of storage in 1980 was $ 500,000. Today the price is less than $ 0.03. This is a huge expense for the amount of data collected.

In pig breeds, there is a wave of data collection. Basic data collection includes weight, number of births, birth year, age group, wean to service time, door count, and more. These features do not require sophisticated technology. Ultrasonic balance, depth, and intramuscular oil are being collected because of advances in ultrasound technology.

Improvements in body and food quality have emerged over the years, including tools to improve pH, maripling, color, and digestion. All of these factors are important in nutrition. Genocide has over 820,000 body parts and quality food has been collected since 1998, and this year it is still growing.

Another important data controller in the pork industry is individual nutrition and behavior. There are several systems available that will gather all the food gatherings during the growing season. To date, there have been more than 43 million comments on each person's diet in finishing. In addition, technology has been developed to develop dietary nutrition during exercise and nutrition. Genes are assembling feeder function as a component of metabolism and are now available for over 21 million dietary supplements.

The most important, and most important, data source is the statistical information used for genetic analysis. Animal veterinarians receive 55,000 data points. If 500 animals are tagged weekly, it will generate 27 million data points per week, or over 1.4 billion annually. Data with this data cannot be opened or processed on the computers of the computers, so a special process must be developed by the growing company to use this information.

Data is an integral part of a scientific project and a great deal of data is still being collected. As technology advances and sells cost, new data and data are collected. Few areas expand in the future, resulting in more data, including epigenetics (studying gene expression), immunology (studying different species), and large scale construction. One example of a large structural marker is a small ear canal that collects body data on pig day. This data can be used to determine when a pig dies, or information on health expenses, heat loss for breeding. Another example is a video of pigs in a pen to monitor activity and behavior, related to energy expenditure and efficiency. Most of us know how much storage is a 1-minute video clip on our smartphones. Consider the amount created during the presentation of 24/7 to many monitoring programs in various fields.

An effective company will work hard to keep up with the latest technological advancements and use the latest technology in their training programs. People are constantly expanding their training programs using new and improved technology to increase gene expression. These investments will benefit developers who use the genes of Genesus.

Sharp's 1st 5G movable mobile

2020-07-03T08:46:00.001-07:00

With the successive launch of 5G by telecom companies, Taiwan has officially entered the 5G era. In order to grab the 5G business opportunities, Sharp officially launched the first 5G flagship mobile phone AQUOS R5G in China on the 2nd. It adopts Qualcomm Snapdragon 865 processor and is equipped with AQUOS R5G with 120Hz screen update rate. Not only the hardware specification is Sharp's most advanced mobile phone in history in China, but the recommended price is also close to NT$35,000.

Sharp pointed out that AQUOS R5G has the current rare front-end physical fingerprint recognition, allowing users to quickly unlock. In addition, R5G is equipped with Sharp's new Pro IGZO screen, providing 1,000nit screen brightness and dynamic intelligent color adjustment, 1 billion color rendering, emphasizing better image quality performance and energy consumption than other competitors.

The AQUOS R5G screen has a 120Hz update rate. Thanks to IGZO technical support, the screen energy consumption is reduced, and the screen update rate can be adjusted according to the user's application, so that 120Hz can be presented at the necessary time. It can also take account of the display and battery life.

For the processor part, the Qualcomm Snapdragon 865 processor with the Snapdragon X55 baseband chip supports 5G frequency bands to n1, n3, n28, n78, etc., providing high-speed download and upload speeds. In the photographic lens part, the rear 4-lens main camera uses 12.2 million pixel standard lens (F1.7 aperture, OIS), 48 million pixel super wide-angle lens (F2.9 aperture, 120° wide angle), 12.2 million pixels Combination of telescope head (F2.7 aperture, OIS), and ToF depth-of-field lens. The front lens is 16.3 million pixels, and has electronic anti-shake and beauty functions.

Because of the built-in AI Live Story function, when you open the video, AI will automatically select a person's smile or identify a better composition scene, add background music and special effects, etc. As long as you shoot a video over 40 seconds, it will automatically generate an interesting 15 seconds Short film, record every moment, and share it to family and friends in real time or upload to the community platform. The film has 3 modes Standard / Fun / Relax to choose from.

Others include built-in 12GB DDR5 memory and 256GB storage space, with a 3,700mAh battery to meet work and entertainment needs. Support Qi wireless charging, waterproof IPX5 / IPX8 level and dustproof IP6X level. In terms of selling price, Sharp AQUOS R5G is recommended to be priced at NT$ 34,990. There are two types of glare black and aurora white. It is expected to be officially launched on July 6. Sharp also provided the first wave of limited gift packages listed, which included peripheral products worth 2,380 yuan.

The history of the computer and the Internet

2020-06-27T07:45:00.001-07:00

I. The history of the computer

1.The beginnings of arithmetic
The history of the computer began when mathematics was invented. This was around 5000 BC. Because at that time the basis of the calculation was started by the start of the counting.

Around 3000 BC simple aids such as knot cords or notched sticks were used for arithmetic. At the same time, the Babylonians invented the sex decimal system, with the base number 60. This is still used today, for example at the hour with 60 minutes or the minute with 60 seconds.

In 2630 BC, dust tablets were used in China for line calculations. These are handy, trough-shaped, dust-covered trays, into which lines are scratched in order to then count on small counters.

Around 1750 BC the "Papyrus Rhind" was written by the Egyptians. It contains multiplication, division and fractional calculation. Around 400 BC the Salamian arithmetic table or "abakion" was used for arithmetic.

One hundred years later, the decimal system and numerals were used. The zero was introduced in India around 700 AD. This enables position calculation.

In 1295, the idea for the first time to build a machine to support theological evidence came from the Catalan philosopher and theologian Raimundus Lullus.

2. The first calculating machines
1623: the theologian and mathematician Wilhelm Schickhardt constructed for his friend

Johannes Kepler the first mechanical calculating machine, which is called the computing clock.

1642: The Frenchman Blaise Pascal invented the six-digit addition machine that he had built for his father to simplify routine accounting work.

1671: Gottfried Wilhelm Leibniz built the "Difference Machine" which could already calculate all four basic types of calculation.

1703: Gottfried Wilhelm Leibniz developed dyadik, which as a dual system becomes the basis of all computers.

After that, the development of the precursors of the computer was rather slow.

It wasn't until 1822 that the Englishman Charles Babbage partially built the "Difference Engine". However, due to technical and financial problems, Charles Babbages could not implement his "Difference Engine" during his lifetime, because it would have weighed several tons and consisted of over 25,000 individual parts. But he could have made part of her. However, this was not so functional, since gears got stuck for lack of accuracy.

In 1833 Babbage developed a concept for the "Analytical Engine", which was to be individually programmed using punch cards, as were already used in looms. He had also given this machine a temporary storage. It was saved with the gear train, which Babbage named "Store". A maximum of 200 intermediate results could be saved, which corresponds to about 21 kilobytes (very little today).

But even for this machine, which would have been the size of a small locomotive, the means and technology were not sufficient. Charles Babbage was fully aware of the progress that was due to him, as the following words from 1864 show: "It will probably take half a century before someone realizes a machine that can solve any math problem. I trust in the value the results of my work showed.

3. Development of the first computer
According to Charles Babbage, it took over a century for a new machine to be invented. This was the Z3 from the German Konrad Zuse, which was completed in May 1941.

3.1 THE Z3

This computer had a computer unit for the bills. It had 2600 relays (electromechanical switches), 800 for the arithmetic unit and 1800 for storing up to 64 words.

The program was in an 8-channel punched code, punched on loops of film material, and the Z3 was able to do up to 20 additions per second. The "Z3", which should actually be called "V3" (V3 stands for experimental device 3), got its name from the fact that it was the third machine, but the first one to be fully functional. The production then cost about 25,000 Reichsmarks. Konrad Zuse is said to have known nothing of Charles Babbage's developments in his day, and that is precisely why Konrad Zuse's work is rated very highly.

3.2.COMPUTER NAME COLOSSOS

Figure not included in this sample

In 1943, the British mathematician Maxwell Herman Alexander Newman and the telephone engineer Thomas Howard Flowers completed the "British giant". Because of its size, this computer was given the code name "COLOSSOS". He had 1,500 vacuum tubes.

3.3.ASCC · COMPUTERS FOR THE NAVY

Howard Hathaway Aiken, mathematics professor at Harvard University in Boston, created the "ASCC" (Automatic Sequence-Controlled Calculator) for the American Navy until 1944, in a seven-year collaboration with IBM at the Computation Laboratory in Cambridge (Massachussets).

This computer also worked with punched tape and was used to solve differential equations. However, he was soon handed over to Harvard Mark University, where he was renamed "Harvard Mark I". It was then improved by IBM punch card machine parts and electric typewriters, as well as punch tape readers for 24-channel punch tapes for entering special function values. In the end, this plant weighed 35 tons, contained 760000 individual parts, 3000 ball bearings, about 800 kilometers of control power lines, and cost $ 400,000!

3.4. THE FIRST FREE PROGRAMMABLE COMPUTER "ENIAC"

In 1946, the electrical engineer John Presper Eckert junior and the physicist John William Mauchley at the Moore School of the University of Pennsylvania in Philadelphia, America, developed "The ENIAC" (Electronic Numerical Integrator And Computer = Electronic Numerical Integrator and Computing Device), which is under the code name "PX" (Project X) was constructed.

This is considered the first computer in the world (US Patent 3120606 dated June 26, 1947) that could be freely programmed. It weighed 30 tons and consisted of 18,000 electron tubes (amplifier tubes) and 1,500 relays, which took up an area the size of a tennis court. The manufacturing cost was about $ 3 million!

For every calculation or loop, hundreds of switches had to be put into the correct position by hand, and in this way he could already do 5000 additions or 400 multiplications per second. It was about 2000 times faster than Harvard Mark I.

However, the ENIAC had some shortcomings:
- The sensitive electron tubes often failed.
- The representation of the numbers was too complex: 10 ring-shaped electron tubes as counters.
- Programming via switches was too cumbersome.

3.5. THE ENIAC'S DEVELOPMENT WAS THE EDVAC

During the development of the "ENIAC", John Presper Eckert junior and John William Mauchley developed the "EDVAC" (Electronic Discret Variable Automatic Computer). It was easier to program and universally usable. It also used Charles Babbage's plans, which provided for a strict separation of the storage unit, arithmetic unit (called "MILL" by Charles Babbage) and control unit.

The electronic memory was either a delay-time memory filled with mercury, or metal disks that were coated with magnetizable surfaces.

In contrast to the "ENIAC", changing the program was very easy. The program simply had to be loaded into the storage unit, whereas the "ENIAC" required major conversion work.

4.The basics of the Von Neumann concept

John von Neumann developed five foundations at the Institute for Advanced Studies (IAS), inspired by the "EDVAC", from which he learned through friend Herman Heine Goldstine, which later became "Foundations of the Von Neumann Concept" or "IAS." Concept "were known.

Von Neumann concept:

1. The arithmetic machine consists of five functional units: the control unit, the arithmetic unit, the main memory and an input and output unit. (Control and arithmetic unit are combined in the CPU, the central processor unit.)
2. The calculator is independent of the task. It is only the program that is put in the working memory that makes it operational.
3. All data and commands are binary coded and are located in a shared working memory.
4. The commands of the program are numbered in the working memory and are executed one after the other (sequentially), controlled by the program counter.
5. Special jump commands make it possible to deviate from the saved sequence.

These points apply to every computer, with the last two points describing programming.

5.Invention of the chip
Figure not included in this sample

In 1965, the third generation of computers was born with the invention of the chip.

A chip (which could replace up to 20 transistors) is a very small plate made of silicon, on which a large amount of transistors, diodes, resistors and other components are built.

An example of this generation of computers was the IBM computer system 360.

6.Computers in every household?
The mass production of computers from the 80s led to further price reductions, so that they could also be used in the private sector.

In 1981 the IBM Personal Computer (PC) was introduced, together with the Microsoft DOS operating system.

In 1982 the first IBM-PC compatible devices reached the German market

In 1984, IBM sets a new standard with the AT ("Advanced Technology"), which is equipped with the INTEL 80286 processor

In 1986 the 32-bit PCs were introduced that use the INTEL processor 80386. The first PCs with the new 80486 processor from INTEL were introduced in 1989. Alone on the basis of today's operating systems, which can only use this processor in its speed, there is a doubling of the working speed to the 80386 processor.

New processors were developed each year in the 1990s (e.g. Pentium, Pentium 2 and 3 processors)

And today we already have the Pentium 4, and the development continues ...

II. The Internet

1.Backgrounds of development

In the 1960s, the U.S. Department of Defense began supporting the development of computer networks due to the cold war. The USA wanted to have a means of communication that still worked after a nuclear strike. In 1969 the ARPANET was developed, which networked computers of the military, the defense industry and some universities.

2.ARPANET
It initially served to connect the universities of Los Angelas and Santa Barbara in California, Utha and the Stand Research Institute (are research institutes). This network was initially used to exchange research data, but was then expanded to include an electronic messaging program. In the event of war or other disruptions, this system automatically switches to another network so that the data can still be forwarded.

More and more networks were created and so it was necessary to find a way to connect all these systems so that they can communicate with each other without problems. Under the name Internetting Project, a development of a transmission protocol (TCP / IP) was commissioned so that the different systems can communicate with each other.

3.TCP / IP protocol
TCP / IP protocol (Transmission Control Protocol / Internet Protocol) was developed in 1974. The United States government prescribed this protocol in 1978 for all of the networks it supported, thereby setting the standard.

3.1 DECLARATION TCP / IP

A system-independent protocol that is installed on every computer connected to the network. A protocol consists of a series of rules that can determine the data transfer between two computers and eliminate errors that occur. All data that are to be transmitted via the Internet are divided into so-called blocks (packs) and then sent. If some of these packs are lost, they are automatically requested again. There are two protocols on the Internet:

a) the Internet Protocol (IP):

It divides the data into packs and then sends them to the exact address of the recipient

b) the Transmission Control Protocol (TCP):

This protocol is responsible for the correct data transmission

In a sense, both protocols are interdependent, which is why we speak of TCI / IP. The TCP / IP protocol later did not become an international standard set by the ISO, but nevertheless prevailed worldwide.

4. Birth of the Internet and its further development
In the early 1980s, the CSNET was the first independent network to receive DARPA's permission to join the ARPANET. The year 1983 is generally regarded as the birth of the internet. This year, the MILNET, the military part of the ARPANET, separated from the rest.

From the mid-1980s, the NSF (National Science Foundation) also showed interest in the Internet, it wanted to give scientists at all US universities access to the network, and so it founded the NSFNET. In this network, the NSF had linked the six supercomputer centers in the USA to form a backbone network (English: back wheel), which was to cope with the increasing data flows. When data traffic exploded, the NSF signed a contract with Merit, Inc. (Michigan Education and Research Infrastructure Triad), through which Merit took over the administration, operation, and development of the NSFNET. In June 1988, the weak 56 Kbps dedicated lines were replaced by 1.5 Mbps lines, which prevented total network overload.

The NSFNET now took on more and more tasks of the ARPANET, which was dissolved in June 1990. In September 1990, Merit, IBM and MCI founded the ANS (Advanced Networks and Services), which was to look after the NSFNET and set up a new one with 45 Mbps lines. 26 months later, on December 2nd, 1992, this network went into operation. The need for this was enormous, in November 1992 there were already 24 billion parcels (1 million a day for the first time) that went through the lines.

In Europe, of course, the need for a university network was also recognized and the RARE was founded in 1986 to coordinate the efforts of the countries throughout Europe. The COSINE project (Cooperation for an Open Systems Interconnection Networking in Europe) was their first project with the aim of building an infrastructure for the academic sector. The first pan-European network was set up, which has continued as EuropaNET since February 1993.

In 1989, researchers in Geneva developed the WorldWideWeb (WWW), which can be seen today as the graphical user interface of the Internet.

5. The World Wide Web (WWW)
The WWW is a service on the Internet that makes it possible to make the pages colorful. On the WWW, information is presented on pages that can be linked to one another with so-called links. This creates a worldwide network of various publications, which can always be linked to images, videos and sound.

6. Internet provider
When the WWW was launched in 1992, the network began to spread more and more thanks to its improved user-friendliness. This opened up completely new lines of business, such as the providers. A provider is a provider of Internet access. Providers operate permanent dedicated lines to the Internet that they have rented themselves. Sometimes the providers not only rented them, but sometimes also bought them. The largest providers are AOL (American Online), Compu Serve and T-Online etc.

7. Requirements to be able to use the Internet
If you don't want to be left behind technically, you should take part in the Internet and you need a few things for this.

7.1 LANGUAGE ON THE INTERNET

The "official language" on the Internet is English. However, this does not only refer to the technical terms, but also to the content: Over 60% of the offer is only available in English. However, even those who don't speak English can benefit from the Internet and online services. There is already a wide range of German websites

7.2.PERSONAL COMPUTER

Basically every PC on which Windows runs properly is internet-capable. But it should be at least a 486 processor with a speed of 66 MHz.

7.3.MODEM

The easiest way to access the Internet is with a modem over the phone line. The modem translates the computer's digital signals into analog (tones) and sends them over the line. At the other end, the retranslation takes place in the receiver modem. Modems are available in different price ranges, a data throughput of 33,600 or 56,000 baud is recommended. This is the speed of the modem, e.g. B. 56,000 bits per second. The modem is connected to a COM port (an interface on the back of the computer) of the computer and to the telephone socket. Together with the modem, you also receive the software that must be installed so that the PC and the modem understand each other.

Another variant is to access the Internet via a cable connection. The advantage here is that the transmission rate is much higher than with a normal telephone connection. It is also cheaper for a lot of surfers because the telephone costs are eliminated.

7.4.BROWSER

If you can and want to go online now, you need a specific program called a browser. The best known browsers are Internet Explorer from Microsoft or Netzcape Navigator from Netzcape. You can download these interfaces free of charge from the Internet, although Internet Explorer is also included with Windows 95/98 etc.

8. What you can do with the Internet
8.1 E-MAIL

The email has been around since 1992 and is the most used. You can compare it to normal mail, because it is used to transmit messages from one computer to another. The advantage is that it can be sent and received at any time. But you can not only send text, but also pictures and other files (music). So email is faster, more versatile and more powerful than regular mail.

8.2.ONLINE SHOPPING

Online shopping and ordering are other lines of business. In so-called virtual department stores, the customer can view the offers as in a catalog with a very large selection and then order directly from the mail order company. For example, the computer manufacturer Dell (one of the largest computer manufacturers in the world) b offers its customers to assemble a computer over the Internet and then order it. Dell makes several thousand US $ in sales every day online. But the virtual department stores could not prevail over the real department stores, as there are still too few households connected to the Internet and payment transactions on the Internet are still relatively insecure.

8.3.HOMEBANKING (TELEBANKING)

This enables you to carry out banking transactions such as transfers, account balance queries, standing orders, etc. via a data connection from house to bank.

8.4. CHAT

When chatting (chatting in German) you can get to know many people from abroad. Chatbars or chat rooms are almost everywhere! Such as B. with almost all radio stations, with most television stations, and also among other things on the websites of cities. But there are also extra chat websites, such as:

8.5 DOWNLOAD

Download is understood to mean downloading programs, pictures, music, etc. Here, those Internet users who have a normal telephone connection have a major disadvantage, since larger programs would take too long to download them. With a cable connection, on the other hand, you can download larger files, because firstly it is faster and secondly it doesn't matter how long it takes because you only pay a fixed fee per month, no matter how long you are online.

The downloading of music files (MP3 files) is currently extremely popular. However, this is very controversial since there is no agreement on the copyright rights. But as long as it is not prohibited, you will continue to download.

9. Future of the Internet
Attempts are currently being made to enable Internet access via the socket. When this system is mature, it enables data to be transferred much faster than anything that has existed before.

Programming your own app - getting started Guide

2020-06-27T07:25:00.000-07:00

In this article you will learn everything to take the next step to your first own app. What do you have to learn? Which platforms do you have to consider? Can you simplify your work and if so, how? It doesn't matter whether you already have programming experience or not. Are you in a hurry? Then look directly into this article about Apache Cordova.

What are apps?

Apps are actually very normal computer programs, but they run on a mobile device. These have the special feature of being able to access the sensors and hardware of the device. The manufacturers provide so-called programming libraries for this. So you can use the hardware in your own app relatively easily (relatively, because you have to develop technical understanding). A feature that particularly stands out in apps is the touchscreen. Programmers have to design their apps so that they can be used on a small or large screen. Websites and app have to adapt to the size of the screen. If this is the case, an app or website is responsive. Nowadays, this requirement is actually quasi-standard. The creation of apps can be done by anyone who has learned to program and who appropriates the technologies for app development. However, there are a few differences, because depending on the manufacturer and operating system, you actually have to write your own app.

Which platforms can you develop apps for? What is to be considered?
Unfortunately, writing an app and then making it available for all devices is not as easy as you would imagine. Because the manufacturers program different operating systems that are not compatible with each other, you have to learn a different programming language and programming environment for each manufacturer. A bitter pill for a beginner, you want to cover as many areas as possible with your first app. There is still a way because you will learn later in this article. We come to the individual manufacturers:

Android

Google’s Android is one of the most used operating systems for mobile devices. Many manufacturers such as Samsung, HTC, etc. produce their devices with Android. There is the so-called play store directly from Google in which you can find the apps and install them on your own device. There are other stores where you can get apps. Every manufacturer usually has its own store, and even large companies such as Amazon have their own app stores. To publish an app in such a store you have to register as a developer. This costs a one-time fee at Google and then you can offer your apps there for download or sale. If you sell your app, the store operator usually keeps a small commission. To develop for the Android platform you need Java knowledge and the Android SDK. Once you've installed that, you can basically get started.

iOS

Apple’s iOS is the operating system for iPhones, iPads and iPods (and what else is mobile with i… from Apple). There is no manufacturer who uses this operating system, except Apple itself. The apps can be obtained via the so-called AppStore or iTunes. To add apps to this store you also have to register as a developer (Apple Developer Program) and pay an annual fee for it. There are also commissions to Apple for the sale of apps. To develop the apps you need an Apple computer with Mac OSX, because this is the only way the programming environment XCode runs. The whole thing can now be programmed either with Objective-C or Apple's new programming language Swift. Unfortunately, you cannot avoid your own Mac if you want to develop with these languages. There are options to operate the operating system without a Mac, but a lot of technical know-how is required. So getting started is quite expensive if you have never been immersed in the Apple environment.

Other platforms

There are also other players on this market. There are various operating systems from Blackberry to Windows Phone. All have their own programming environment, use a different programming language and also have their own stores in which the apps are offered.

What do I have to learn for this?

So many different manufacturers, programming languages, operating systems, even the professional quickly becomes dizzy. Each language and library is structured differently and in principle you have to pay attention to special features everywhere. Apart from the fact that you should also have the devices on site for testing. If you want to get started in development, but you are still a complete beginner when it comes to programming, you will not be able to avoid familiarizing yourself with a programming language. We'll get to that in a moment. First of all, you should get to know the differences between the apps yourself.

Native apps

Native apps are written in the manufacturer's programming language, see the section on platforms. You have to learn programming first, and preferably in the language for which you want to program an app. The respective language and environment for each platform. Another question is whether this work is worth anything to you. It must be worth it.

Web apps (or HTML5 apps)

If you are reluctant to write things twice or three times and don't want to deal with the different programming languages of the different manufacturers right from the start, this is the solution. With web technologies you can also write entire applications. And wherever a modern browser can be run, a web-based program can also be run. There are great libraries, such as Apache Cordova, with which you can program a web-based app and practically use the same functionality that you know from native apps. These apps can even be brought to the AppStores. The cool thing: You develop a normal responsive web application and can convert it into a fully functional app with a few adjustments. The app looks the same on all platforms. You first learn only one programming language (Javascript) and can use it to build almost anything you can imagine. For someone who starts and doesn't really know what they want to build, this is ideal.

Can I offer my app on my computer / notebook?

In the native area there is actually a clear no. Maybe it is possible to run an iOS app on a Mac, but I don't know anyone who has tried it before. That means, if you want to code an app that should also be used on the "big" computer when in doubt, you should also look for a programming environment where you can also write your apps. Right, another programming language / programming environment and everything that goes with it.

Wouldn't it be ideal if you could create all programs with just one language?

It's a great thing to get started with, but you have to say that as soon as it becomes special or performance requirements increase, you should have enough manpower and develop it natively.
Problem to write certain things twice for the respective platforms. But a beginner doesn't have a 5-person crew. So you are faced with a choice. Your apps should run on all platforms, so to speak

Learn and write 3 times. Or you only make the app for one platform. Or you can learn Apache Cordova and get a lot to get you started

donated. The best thing: you develop your webapp as normal on the computer and can test all functions without the need for a mobile device. You can only use the emulator or download your app to your smartphone if you start adapting the mobile version. And when you're done, you'll have an app for mobile devices and an application for the computer. I have prepared an example, here you see a soundboard that I developed for my club and the Android version.

Can I make money and get rich with my first programmed app?

Even if I find the motivation great and know it myself, which you have at the beginning. But unfortunately you have to say at the beginning that the first programs will not convince. My advice: do not start with your fat idea, because it will quickly kill and paralyze. Start with small mini projects, such as in our tutorials. Only then take a tiny little functionality out of your idea that you actually want to program and implement this mini function in your own program. This is the only way to increase the chance to collect some money for your app. The whole thing with marketing etc. not included.

You need this for your start and so you start by:

My suggestion to you: If you have no idea about programming, start with web development and Javascript. This allows you to learn the basics and continue to use this language. A lot can be done with Javascript. If you are unsure, go through this tutorial. If you can't handle it, you have to start much earlier. Then you are definitely a candidate for our beginner course. If you are already familiar with web technologies, check out our article on Apache Cordova.

Advantages and disadvantages of developing game apps with Unity 3D

2020-06-27T07:15:00.000-07:00

This is my first article about gaming apps, nor about Unity 3D. I have'nt published an extensive article on Unity game development, as well as a comparison of the tool with Cocos2D. I will show you the disadvantages of Unity 3D in concrete terms, which exist despite the great possibilities of the tool. Here we report how the best experts in the industry experience and evaluate the prominent program.

According to the two experts developer for Androtiyas a company for web design and app development from Zaragoza. The two app programmers have worked together many times and developed Android games like Dragon Pet. We interviewed the two for you and asked about their assessment of Unity 3D.
As experts in the gaming industry, with great knowledge of this tool, they stated that the biggest beneficiary of Unity 3D is Android. Android is the market leader for mobile games and was able to further consolidate its position with the introduction of Unity 3D. Unity 3D fits well with the requirements of Google's OS.

Aitor Román: “We can say that Unity 3D took more time to implement the requirements of the Android OS. This approach is reflected in the performance ". That said, the power of Google is also evident in the development of games with Unity 3D.

Limits in developing game apps with Unity 3D

Like most tools, the performance of Unity 3D has its limits and there are some drawbacks to using the tool. Iván Garcia helps us list a few.

The most obvious difficulty is that the program leaves the development of a game to the user from scratch. “As a multi-purpose engine, there is nothing for you (Unity 3D, author's note). Some people expect game apps to be “drag and drop”, but it's not at all. In fact, I think that a good tool doesn't work that way, ”explains Iván Garcia. In Unity 3D, you have to create the basics of the game yourself. This is not easy, but on the other hand it provides enormous freedom for development.

As far as visual quality is concerned, Unity 3D is not quite as strong as UDK, for example. However, according to Iván Garcia, this is not necessarily a major disadvantage if the application is to become a less complex game for smartphones. For smaller projects, Unity 3D is a very good alternative.

At the game engine level, NVIDIA PhysX is used, which offers fewer functions than other tools such as UDK or CryEngine do. The Unity 5 PhysX3.3 update is expected to improve performance and provide additional features.

The expensive licenses can be a problem for freelance developers or small development teams. The most expensive version mainly offers graphical upgrades. But they are only worthwhile for medium-sized or large teams and for very ambitious projects. "It also depends on the developer himself whether he can use these resources," adds developer Aitor Román.

With regard to the development of game apps with Unity, especially for smartphones, we find the program very suitable. You don't even have to buy additional licenses. Unity allows you to publish games with the freeware, for example in Android and iOS, the most popular platforms.

Conclusion
In summary, Unity 3D is a valuable tool for beginners, but also for other users who don't have the resources to pay for game app development experts. The group of free developers and small teams who want to program simple but good games by hand benefit the most from Unity.

What is Sentimental Analysis?

2020-06-27T07:05:00.000-07:00

Sentimental Analysis Concept

The terms sentimental analysis and idea mining first appeared in 2003. Before the 2000s, some ideas such as perspective effects, emotional adjectives, metaphor interpretations were brought forward, but the main studies were carried out later. Many nomenclatures are used in relation to Sentimental Analysis.

Some of them are as follows:

Slant examination, feeling mining, assessment extraction, assumption mining, subjectivity investigation, influence investigation, feeling examination, audit mining and so forth.
The most commonly used name is Sentimental Analysis or Emotion Analysis . But not only words are needed for emotion analysis, emotion analysis studies can be done thanks to the emojis used to express emotions. There are many emoji that people use in happiness situations, like the “☹” expression that people use in unhappiness situations. Many analysis studies have been made on these issues. For example: In the research carried out by Mohammed O. Shiha and Serkan Ayvaz, the effects of emojis used in data collected on Twitter with R language on Sentimental analysis were investigated and according to the results, they discovered that users generally use emoji in their "positive" tweets.

Research Demonstrates Improving Sentimental Analysis

According to Bing Liu, they want to know the opinions of consumers about big organizations and all business services or products in the real world, and also the consumer wants to know the opinions of the products by the current users. Due to such reasons, emotion analysis studies have developed rapidly in many organizations and workplaces, and they are gaining momentum every day.

Effect on Social Media

In addition, with the groundbreaking growth of social media, individuals and organizations began to use social media more often to make better decisions. For this reason, the huge data shared on social media gained great importance and both the consumer and the manufacturer wanted to see the meaningful results of this data, so that emotion analysis studies gained speed. For example: Nowadays, a consumer is not limited to the circle of friends or family to buy a product; To read the comments of other users, he reviews the comments on public forums or blogs and makes his own decision through the sharing of emotions.

In short, many institutions today prefer to conduct research on the web and to examine thoughts instead of public opinion polls and surveys. It is very difficult for people to do such great research manually, analyze emotions and draw detailed conclusions from all data. For this reason, Sentimental Analysis systems were created.

Research Levels Used in Sentimental Analysis

Sentimental analysis applications are used in many fields. Consumer services, health, political choices, social organizations, financial services can be given as examples.

Different research levels and grouping methods are used in SA. Thanks to these grouping methods and research levels, analysis studies were conducted. The chronological development of sentimental analysis is Document Classification first, then Text classification followed by Thought Mining and finally Emotion Analysis.

As research level, 3 different levels are used.

Document Level:

According to a document with this method, it is the method that produces a negative or positive result.

For example: According to a product review, the system checks all words and, as a result, produces a negative or positive value.

This form of analysis is not suitable for documents that compare multiple products or situations. Because, when more than one situation or product comparison is made, more than one result is expected. However, only one result is obtained with this method.

Sentence Level (Sentence Level):

With this method, positive, negative or neutral conclusions are made on a sentence basis. Neutral generally means that there is a sentence that does not express feelings or ideas.

Many objective sentences may contain thoughts, but not subjective thoughts, and this situation should be explained with a small example.

Entity and Aspect Level:

Document-level and sentence-level analyzes cannot discover exactly what people love and dislike. Whereas the Level of Existence and Opinion enables to perform small-grain analysis, it provides more accurate analysis.

Aspect Level was previously known as Feature Level. With this method of analysis, he deals directly with emotion rather than looking at language structures. In this case, Document and sentence level makes it different from analysis.

For example: “I still love this restaurant, although its service is not perfect.” Although the sentence has a positive tone, we cannot say that it is completely positive. Although there is a positive opinion about the restaurant, it contains a negative opinion.

The Red Spot On Jupiter Contains An Extremely Large Amount Of Water

2020-06-27T06:54:00.003-07:00

The gas planet Jupiter , which is twice as heavy as all the other planets in the solar system, is one of the best studied celestial bodies, but it still puzzles astronomy . The latest measurements by the US space agency NASA have shown chemical signatures of water in the atmosphere of the gas giant - and in large quantities. This raises the question of whether there might be extraterrestrial life on the unreal planet.

Gordon L. Bjøraker and colleagues at the Goddard Space Flight Center NASA have by using infrared-sensitive telescopes examined on the Maunakea in Hawaii the Great Red Spot of Jupiter. Inside the huge giant storm, the astronomers analyzed three layers of clouds. In the bottom layer they finally found what computer simulations had already predicted: Significant amounts of frozen H2O. But after evaluating the measurement data, astronomers are certain that there must also be liquid water.

Large amounts of water and oxygen in the Jupiter atmosphere

The measurement data also suggest that significantly more water must exist in the atmosphere of the gas giant than has previously been proven."Because of the high weight of the water in blend with the location of the oxygen-containing gas carbon monoxide, clearly Jupiter has two to multiple times the measure of oxygen than the sun", as the space experts report in the diary Astronomical Journal .

The measurement of these values confirms previous computer simulations, according to which Jupiter has large amounts of water, but also oxygen and hydrogen. First estimates by astrophysicists assume that Jupiter has even more water in its atmosphere than it does on Earth.

What role does water play in Jupiter weather?

Astronomers suspect that water plays an important role in the surreal and stormy weather on Jupiter. “The new findings will expand understanding of what makes Jupiter's atmosphere so extremely turbulent,” explain the astronomers."Furthermore, life on Jupiter can never again be precluded, anyway far-fetched it might appear.

"Relationship between AI, machine learning, and deep learning-how to reproduce human "intelligence""

2020-06-27T06:45:00.001-07:00

The differences and relationships between "artificial intelligence (AI)," "machine learning," and "deep learning" can be understood smoothly by examining the history of AI.

"Human "intelligence" can be artificially reproduced by machines." --In 1956, the term "artificial intelligence (AI)" was born from the ideal of such researchers.

Since then, research has continued for more than half a century.

　During this period, it starts from solving mazes, puzzles, games such as chess and shogi (searching and reasoning), registers human knowledge as a dictionary or rules in a computer, and

tries to derive answers like experts ( Rule base and expert system) have been carried out.

　However, since humans make dictionaries and rules, it is not possible to register all the phenomena in the world.

In addition, there was a problem that it would not be possible to process it given the contradictory rules that are common in the world.

As a result, we were able to achieve results in a narrow and limited field, but it was far from "human "intelligence"" that could be widely applied in various

fields, and we did not achieve great results.

　After that, "machine learning", a method of analyzing the data in a specific field to find out the regularity and rules for classification, distinction, judgment and prediction, will appear.

　Although the concept of machine learning has been around for a long time, the performance of computers is insufficient, and it has not reached its full potential, and it has

improved its capabilities as computer performance has improved and methods have evolved.

Also, the spread of the Internet has made it possible to collect a large amount of learning data at low cost, which has also accelerated this research.

Humans have to specify what kind of characteristics AI should be able to focus on when performing classification, distinction, and judgment, that is, "selection and combination of characteristics (feature amount)"

Machine learning is a method that finds out the distribution, pattern, and regularity of this feature quantity by analyzing a large amount of learning data, and uses the result

　However, the feature amount had to be designed and registered by humans, and its skill greatly affected the result.

　After that, research on the function of the brain when humans recognize images proceeded, and "deep learning", a method of machine learning that applies the results, will appear.

　This technology can be created by analyzing the data for selecting and combining feature quantities.

Therefore, the performance can be improved as the amount of data increases, without depending on human ability.

　It can be said that this has given rise to the possibility of arbitrarily classifying the world's forests.

What Is Artificial Intelligence? What Does It Do?

2020-03-19T23:32:00.002-07:00

What is Artificial Intelligence? What Does It Do?

AI (pronunciation: EY-AY) or Turkish equivalent Artificial Intelligence ; It is a simulation of processes that predict human intelligence, especially by computer systems and machines. These processes include learning (rules for acquiring and using information), reasoning (using rules to achieve approximate or precise results), and self-correcting. Artificial intelligence; special applications, expert systems, speech recognition and machine vision.

AI was shared for the first time at the Dartmouth Conference in 1956 by American computer scientist John McCarthy. Artificial intelligence is an umbrella term that covers everything from robotic process automation to real robotics today. It has increased in popularity recently due to big data or an increase in the speed, size and diversity of businesses. Artificial intelligence can fulfill tasks such as using patterns in data more efficiently than people or providing businesses to have more information than the data they have.

Artificial Intelligence Types:

Artificial intelligence can be categorized in various ways, basically two examples can be given.

First, we can classify AI systems as Weak AI and strong AI. Weak AI is also called Narrow AI. It is an AI system designed and trained for a particular task. Virtual personal assistants like Apple's Siri are the Weak AI type.

Powerful AI, also known as artificial general intelligence, is an AI system with generalized human cognitive abilities, so it has enough intelligence to find a solution compared to an unknown task. The first example of this, the Turing Test, is a method developed by the mathematician Alan Turing in 1950. Although the method is controversial, it is a method used to determine how a computer can think like a human.

The second example came from Arend Hintze, an assistant professor of integrated biology and computer science and engineers at Michigan State University. It divides AI into four different categories, from existing AI systems to perception systems that are not yet available. The categories are:

Type 1 Reactive Machines:

Analyzes possible movements - self and opponent - and selects the most strategic movement. As an example, we can give the IBM chess program Deep Blue, which defeated Garry Kasparov in 1990. Deep Blue can detect and predict pieces on the chessboard, but has no memory and cannot use past experiences for future events. Deep Blue and Google's AlphaGO were designed for narrow purposes and could not be easily applied to any other situation.

Type 2 Limited Memory:

These AI systems can use their past experience to learn about future decisions. Some of the decision-making functions in autonomous vehicles are designed in this way. Current practices show the near future use of vehicles that can follow lane lines. Data in AIs whose memory is limited is not permanently stored.

Type 3 Mind Theory:

This is a psychology term. This expresses the understanding that influences the decisions made by others or that they have their own beliefs, desires and intentions. This AI type does not yet exist. It is possible that we will see this application in social media tools or smart phone applications in the future, if not now, and we will be aware of it.

Type 4 Self Awareness:

In this category, AI systems have a unique sense and consciousness. Machines with self-awareness understand their current feelings and positions and can use the information to influence and direct others. This AI type is not yet available.

Artificial Intelligence Technology Examples:

Automation is the process of automatically performing a system or process function. Robotic process automation can be programmed to perform high data, repeatable tasks gradually done by humans. RPA ( Robotic Process Automation ) differs from IT (Information Technology) automation in that it can adapt to changing conditions.
Machine learning is the process of a computer taking action from programming. There are three categories of machine learning algorithms.

Deep Learning :

In simple terms, its prediction can be defined as analytical automation.
Supervised Learning ; data sets are tagged here so that patterns can be detected and used to tag new data sets.

Unsupervised Learning:

It can be sorted by similarities or differences in which data sets are not tagged. Support learning where data sets are not tagged, but feedback is given to the AI system after performing one or more actions.
Machine vision is the way computers see. Machine vision captures and analyzes visual information by converting images of a camera from analog to digital and using digital signal processing. It is often compared to the human eye, but machine vision is not biologically dependent and can be programmed to be seen, for example, between walls. It is used in many areas from signature identification to medical image analysis. Computer vision focusing on machine-based image processing often coincides with machine vision.
Natural language processing (NLP) is the processing of human language and computer language through a computer program. One of the oldest and best-known examples of NLP is the spam detection method that looks at the subject line and text of the email and decides whether it is trivial. NLP tasks include text translation, emotion analysis, and speech recognition.
Model recognition is a branch of machine learning focused on determining models of data.
Robotics is an engineering field that focuses on the design and manufacture of robots. Robots are often used to perform tasks that are difficult for people to perform or to perform. They are used by NASA to transport large objects on assembly lines or in space for automobile production. More recently, researchers are using machine learning to build robots that can interact in social environments.

AI Applications:

In health : the greatest expectation on this issue is to improve patient outcomes and reduce costs. Companies apply the “machine learning” technique in artificial intelligence to diagnose better and faster than humans. One of the best known health technologies is IBM Watson . Understands natural language and can answer questions. The system processes patient data and other available data sources to form a hypothesis, which is then presented with a confidence scoring scheme. Other AI apps include chatbots, a computer program that performs virtual health assistants that help patients during online calls and keep track of appointments that assist customers or provide basic medical feedback during the billing process.

In Business :

Robotic process automation is applied in multi-repeat tasks performed by humans. Machine learning algorithms are integrated into analytics and CRM platforms to reveal information about serving customers better. Chatbots are included on their website to serve customers instantly.

In training :

AI can automate rating by giving trainers more time. It evaluates students and can assist the student to work at his or her own level and support the needs appropriately. It can provide support to keep track of teachers, students and other staff at the institution.

In finance:

AI applied to personal finance applications such as Mint or TURBO TAX provides great convenience in the transactions of financial institutions. Such applications may collect personal data and provide financial advice. Today, such software is used by many companies trading on Wall Street.

In law :

The issue of whether the texts in the documents are contained in the law is a study that takes quite some time by lawyers and some laws are likely to be forgotten. AI automates this process to support better use of time and accuracy.

In production :

Including robots in the workflow will increase its importance now and in the future.

Quantum Computers Explained

2020-03-17T07:21:00.000-07:00

Quantum Computers Explained

What Is Quantum Computing And Quantum Computing?

Nature follows the laws of quantum mechanics, a branch of physics that explores how the physical world works at the most basic level - including molecules like caffeine. At this level, particles behave in strange ways, at the same time capturing multiple situations, and they can interact with other particles that are far away. Quantum computing uses this quantum phenomenon to process information in a new and promising way.

Thinking about the power in our pocket is really a sign of great change. What we mean by the power in our pocket is cell phones that almost everyone has right now. Today's smartphones had the power of a military computer 50 years ago, but the only difference was that the computers at that time were filling a huge room. However, since the beginning of the computer revolution, technology and classic computers still have difficulty in solving many problems. Many of us believe that quantum computers are an answer to these problems.

Boundaries of Classical Computers

Now that we produce the switching and memory units of computers, now known as transistors, we need to find a way to build a new thought and computer, almost as small as an atom. Even if a classic computer can help us do some amazing things, it is a calculator that uses just one bit string "below the visible". When we think that classical computers represent two states in sight '0 and 1' (think like an on and off switch), we would not be wrong to define these computers as a calculator that shows the results related to the data we have followed a predetermined set of instructions.

Quantum computers are not intended to replace classic computers, they should be considered as a different tool that we can use to solve complex problems beyond the capabilities of a classic computer.

Essentially, more and more people, zeroes and transistors need to be able to operate as we enter a huge world of data where the information we need to store is expanding. Often conventional computers are limited to one operation at a time, so the more complex the problem, the longer it takes. A problem that requires more power and time than today's computers can be called is a problem that cannot be forced. These are the problems that quantum computers are expected to solve. Computers today spend much more time and power in a difficult problem. It is believed that quantum computers can solve such difficult problems today.

How Quantum Computers Work?

When you enter the world of atoms and subatomic particles, things start behaving in unexpected ways. In fact, these particles can exist in more than one state at a time. This is the ability to take advantage of quantum computers.

Instead of bits employed by conventional computers, a quantum computer, qubit uses, known as quantum bits. Consider a sphere to show the difference. A bit can be at one of the two poles of the sphere, but a qubitcan be found at any point on the globe. So, it means that a computer using these qubits can store tremendous amounts of information and spend less energy than a conventional computer. By entering this quantum space where traditional laws of physics no longer apply, we can create processors that are significantly faster (one million or more) than what we use today. This seemingly great idea comes with a lot of challenges because quantum computers have an incredibly complex structure.

Since we have reached the energy efficiency limits by using conventional methods, a great burden is placed on the computer industry to find ways to make computers more effective. According to a report by the Semiconductor Industry Association in 4040, power capacities will no longer last longer on machines around the world.

How Quantum Computers Will Change Our World?

It is difficult to predict how quantum information will change our world, because all industries will have applications in this direction. We are entering a completely new field of physics and there will be solutions and uses that we have never thought of before. However, you can imagine the extraordinary possibilities when you have the computing power of qubits, which can make millions of calculations at the same time, considering the relatively simple use of classical computers, just two options of 0 or 1, how revolutionary it is in our world. Contrary to many problems that we had difficulties solving before, when we think that there can be machines that can solve very complex equations that we cannot imagine in less than a second, a new world will be waiting for us.

Whatever we know, there will be a big change in both the industry and the works we are trying to do. This change will have a major impact on the way we invent new drugs and materials, protect our data, explore locations, and predict weather events and climate change. It is not accidental that many companies in the world, such as Google, IBM and some world governments, invest in this area. They will change our world because they will allow us to experience efficiency that is not possible today and to solve problems faster.

Amazon Will Open A New Robotic Logistics Center In Seville

2020-03-15T08:32:00.000-07:00

Amazon Will Open A New Robotic Logistics Center In Seville

This new center, the fourth in Spain and equipped with cutting-edge technology, will generate more than 1,000 permanent jobs in the region in the next three years.

Amazon has announced that this summer it will open its new robotic logistics center in Seville, equipped with cutting-edge technology. With this new center, located in the municipality of Dos Hermanas, Amazon will create more than 1,000 permanent jobs in three years , in addition to the 7,000 permanent jobs existing in Spain.

"We are proud to expand our network of operations with this new logistics center in Seville, equipped with state-of-the-art robotic technology, " said Roy Perticucci, Vice President of Amazon Customer Fulfilment in Europe . "Since we started our commercial activities in Spain in 2011, we have invested more than 2,900 million euros in infrastructure and facilities, transport and shipping, as well as wages and benefits for our employees. In addition, we have also committed to invest in renewable energy as a critical step to combat our carbon footprint globally . "

We continue to invest strongly in Spain, employing thousands of talented people who receive a competitive salary and a comprehensive benefits package from day one, " said Roy Perticucci.

The logistics center located in the municipality of Dos Hermanas, just 14 km from Seville, will be equipped with the advanced technology of Amazon Robotics . This technology is part of the innovations that Amazon has introduced to support logistics center employees, since it reduces the time used to move around, by making the shelves come to them.

It is the fourth robotized center of Amazon in Spain , joining those of El Prat and Castellbisbal, and a robotized distribution center in Barberá del Vallés. This new center will be used by the company to store, prepare and manage products, supporting Amazon's operations in Spain and throughout Europe.

The new logistics center is being built with sustainability as the central axis. It will have integrated energy-saving technology, which will help reduce our CO2 footprint. Likewise, it will have solar panels on the roof, and low energy consumption systems, such as the use of LEDs. Ventilation systems will include heat and energy recovery technology, and the windows, roof and facades will have high thermal efficiency to ensure insulation.

Coronavirus Begins To Disturb Chinese Technological Production

2020-03-15T08:00:00.001-07:00

Coronavirus Begins To Disturb Chinese Technological Production

The coronavirus outbreak in China is beginning to affect the global technology industry, with noticeable declines in shipments of devices such as graphics cards and mobile phones.

Asus, Foxconn and Gigabyte have said that first-quarter shipments of motherboards and graphics cards have fallen more than expected, British media outlet Computing has reported . This decline is explained by the fact that Chinese people avoid public places and shops, while courier delivery and other services have been affected.

Meanwhile, the smartphone market is expected to be affected in two ways: first, with excess inventory in China caused by the sudden and unexpected decline in sales, and second, the halt of new models due to the pause. in supply chains, caused by factory closings, ordered by the Chinese government when the epidemic began.

Huawei, in particular, is likely to be hit hard as it fell back on its home market due to the impact of U.S. sanctions. Asian sources suggest that their sales channels in China have been "paralyzed" as a result of measures taken to contain the spread of the virus.

Foxconn has warned that quarantine measures imposed at the main base where it manufactures Apple iPhones will affect production. Apple is expected to launch a new iPhone at a reduced price earlier this year, and the measures could affect its ability to increase production to meet anticipated demand.

Hon Hai also manufactures products for HP and Sony. Other contract manufacturers operating in China, including Inventec and Quanta, have also been affected. Several factories have been closed and production is expected to restart soon. However, the virus is still spreading and that date may be delayed.

Taiwanese wireless semiconductor company MediaTek also warned that its first-quarter sales are likely to drop by as much as 15 percent. Sources attribute this to the sharp decline in sales in the Chinese smartphone industry.

Game console company Nintendo, meanwhile, has been one of the first companies to publicly warn of an impact on production of its popular Switch console and Joy-Con controllers. The company is considering shifting production from China to Vietnam to ease the shortage, according to Bloomberg.

At the moment, however, the parenthesis is only affecting shipments of Nintendo products to Japan, without the United States and Europe being affected, the company added.

Building A Sustainable, Intelligent And Energy-Efficient Cloud

2020-03-10T23:47:00.004-07:00

Building A Sustainable, Intelligent And Energy-Efficient Cloud

When we share files through Dropbox, save images to Google Drive, or place an order with Amazon, information is processed using technology commonly known as "the cloud". But did you know that a cloud server only uses 20% of its computing capacity most of the time? In fact, the cloud now accounts for almost 10% of global electricity consumption - so the current model of cloud computing is simply not sustainable.

The EU-funded CLOUDLIGHTNING project aims to remedy the situation by developing a more efficient, sustainable and user-oriented cloud. The project researchers are currently working on an intelligent, energy-efficient cloud computing infrastructure that will provide service providers with energy savings and facilitate access for cloud users. By using heterogeneous computing resources, the scientists want to increase the utilization of the computing capacity of the cloud servers from a pitiful 20% to a sustainable 80%.

Behind the cloud:

It is not easy to understand why cloud computing is often so inefficient, because the idea behind the cloud is, after all, that we are no longer dependent on file folders, data or hardware. But behind the cloud are huge, homogeneous data centers that consist of countless computers, components and other hardware - and this model, according to the CLOUDLIGHTNING researchers, limits the computing capacity and thus the possibilities of certain cloud users.

A typical example are the high-performance computers that are used in science and technology. The standardized, homogeneous cloud is unsuitable for this area because the need for cloud resources is not always predictable and fluctuates frequently. Today's cloud providers do not allow their customers to tailor the available resources to their individual needs, and therefore cloud computing is in fact not used for high-performance calculations.

In a recent report, the CLOUDLIGHTNING researchers found that organizations that perform high-performance calculations are generally skeptical of the cloud because of this lack of flexibility. They are particularly concerned about data management capacities in cloud computing, for example because they lack cloud infrastructures that meet the demands placed on communication and I / O capacity in highly complex technical calculations.

The current system also prompts cloud providers to provide significantly more computing resources than is actually needed most of the time to cope with unpredictable peaks in user demand. Through this practice, however, tens of thousands of cloud servers are now operated in data centers around the world - which consume energy - even though they are actually hardly used.

A heterogeneous approach:

CLOUDLIGHTNING is intended to solve these problems in order to develop an energy-efficient cloud infrastructure that makes cloud technology sustainable and simplifies access to cloud resources. The researchers want to create a heterogeneous cloud system that combines high computing power with the energy-efficient, combined use of different types of hardware and servers. Technically speaking, they are striving for a new kind of management and delivery architecture for the cloud, which is based on self-organization and management and which shifts the provision and optimization from the consumer to a software stack that runs in the cloud infrastructure.

The overall goal of the project is to avoid the inefficient use of resources and thus to achieve savings for both cloud providers and cloud users through reduced energy consumption and improved provision of services. Although the project has not yet been completed, use cases for three areas of application - genomics, oil and gas exploration and ray tracing - have already been published and will be used to check the management and delivery models of the CLOUDLIGHTNING researchers.

After these promising initial results, the next step will be to create and use a test environment that will run the CLOUDLIGHTNING software stack. The researchers note that the data is collected in this test environment, on the basis of which large-scale simulations of self-organized and self-managed, scalable, heterogeneous cloud systems will then take place.

Web Development Introduction

2020-03-10T23:04:00.001-07:00

Web Development

Today, web apps have to be platform-independent and work with all browsers. Content should be optimally displayed on the PC, tablet or smartphone with different screen resolutions. These tasks belong to the professional field of a web developer (web developer), an expert whose work is in high demand in many companies and is well rewarded. Anyone who loves independence and would rather choose their own projects also has good chances as a freelancer in the IT area.

Tasks of a web developer:

In contrast to the web designer, whose activities are mainly focused on the graphic elements of an app, the web developer mainly focuses on programming. A web developer takes care of the development, further development and maintenance of the numerous programs and apps of a website and the smooth interaction with the users. In reality, however, it usually looks different, the tasks of a web designer and a web developer are often carried out by one person. Especially as a freelancer or freelancer, a web developer should be able to cover both areas.

The tasks of a web developer include the development, further development and implementation of websites using the latest web technologies. Responsive web design, i.e. the uniform presentation of content on different screen sizes, is also an important topic in web development.

Even without current knowledge from the areas of SEO, online marketing or conversion, you can not get by in this profession, because even the best websites are pointless if they are not found by the search engines and are not ranked high in the ranking. As a rule, a prototype (dummy) is created for each project, which already contains all important elements of the site. This prototype is tested for important functions such as navigation, database connection, user interface and feasibility before the actual task is started.

What skills does a web developer need?

In hardly any other professional field is the number of career changers as large as that of the web developer. A high level of further training is announced during the activity, since the knowledge acquired during the training is usually not sufficient in the long term and technological progress takes place very quickly here. The Internet is characterized by rapid changes and daily innovations that you have to learn in this profession. That is why the willingness for regular further training is part of the job description of a web developer, like classes for object-oriented programming.

Web developers mostly work in teams and are in direct contact with the customer. That is why social skills are of course necessary.

So-called "No SQL" database systems are currently being hyped in particular, which are particularly impressive due to their very good scalability compared to classic relational DBMS. Because of the many broad and often very high requirements, some developers specialize in one or two areas, such as programming web applications with XY technology or creating high-performance database structures.

In addition to the technical skills, a web developer should have creativity and perseverance and offer innovative solutions. Good or very good knowledge of the English language can also be very important, depending on your orientation.

The most important tool is the safe handling of programming or scripting languages such as Java (Enterprise Edition), JavaScript, Python, Ruby, C #, Perl and PHP as well as special frameworks. Front-end technologies such as HTML5, XML or CSS3 are often used in the projects. Knowledge of SQL databases such as MySQL, Microsoft SQL, Oracle, Sybase, Adabas and their client-server applications is also important.

How do you become a web developer (training / studies)?

The job title web developer is not protected in Germany, there is currently no recognized training occupation. In most cases, applicants have a degree in computer science, IT or media informatics. Lateral entrants come from technically oriented subjects or creative courses with subsequent training.

Numerous institutes and educational institutions offer further training as web developers. The training measures can also be carried out part-time as distance learning and are completed with a certificate. The further training measures usually include an internship at agencies and other companies. It is not uncommon for interns to be taken on immediately after completing their training.

Where can I work as a web developer? What salary can I expect?

Website developers work as freelancers or as employees of startups, agencies and medium-sized or large companies. While a freelancer selects his customers largely independently, the web developer as an employee is assigned the customers, projects and deadlines by his superior. Many companies find it difficult to meet the need for web developers, so the job prospects are currently very good.

Regardless of the size of a company, the job requirements are often very demanding and complex. The companies reward the high qualification with an entry-level salary of 32,000 to 40,000 euros.

Cities:

In big cities and metropolitan areas, earnings tend to be at the upper limit. The subsequent income largely depends on the professional career and on the experience and specializations. Experienced frontend developers earn up to 70,000 euros, specialists certainly a little more. With appropriate services, there are prospects of being promoted to project manager (75,000 euros and more).

As a freelancer:

The hourly rate for freelancers is agreed with the respective client. The companies can currently be billed at around EUR 75 per hour. The competition with freelance web developers tends to increase and the costs resulting from self-employment e.g. for insurance companies, the nominally high income must be taken into account.

Freelancing Websites In Pakistan

2020-03-10T22:49:00.002-07:00

Freelancing Websites In Pakistan

Here are some of the best freelancing marketplaces where you can go and earn in dollars

1.AAwork Freelancer Platform

One of the representative platforms of domestic freelancers, transforms users' idle knowledge and skills into personal intellectual property benefits, thereby bringing continuous economic income to users. AAwork has formed the world's largest freelance community, providing a platform for freelancers to communicate, communicate, and make friends, improving the lonely working environment of freelancers, and using interpersonal communication and communication.

2. Pig Eight Rings

The old freelance website, you find someone to do things (A) → pay money to Pig Bajie (B) → Pig Bajie send task (20% of your tax has been deducted) (C) → someone else's task (D) → you selected (E) → Pig Bajie gave the task giver the money you gave (80%) (E) → End (F),

The above is a flowchart. However, in the E node, the possibility of being selected is very small. It is a busy task and a waste of brainpower. Of course, for small tasks, give a name, make a picture, etc. People, still good.

3. Zhicheng Network

An outsourcing website focusing on mobile internet, it seems that there are quite a lot of lists. Children who are skilled in API development can try it.

4.has fish

A virtual employment and online work platform. What I saw while browsing the Internet a while ago is relatively new. Individuals can apply for long-term tasks from multiple companies. Companies can recruit virtual employees.

Entrepreneurs can start a virtual company here and quickly recruit all kinds of talents (this point, it seems that I can also start a virtual company above)

5. Mission China

There seem to be a lot of posts, but the layout is messy, everyone can go to Nuggets ~

6. Yipin Freelancer

The design-oriented activities are mainly innovative, completely reprinting the old version of the old version of Zhubajie. I haven't heard of it in the past few years. This year, it has moved faster.

7.Upwork

Upwork was formerly oDesk and has over 1.5 million customers. It provides all kinds of freelance, short-term or long-term projects, work by the hour or by project statistics, for professional and amateur level projects. With so many kinds, you can definitely find a suitable one.

8.Toptal

Unlike other platforms, Toptal is slightly higher-end and is aimed at more professional and experienced freelancers. On Toptal you can find big customers like JPMorgan, Zendesk, Airbnb, etc., and the pay is higher, and you can also have the opportunity to participate in the meetup held by the Toptal community.

9.Elance

Elance is also a very popular platform in freelancer, with a wide range of work types. Its features are to simplify the entire experience, from setting up files to making and receiving payments quickly and securely.

10.Freelancer

In addition to commonly used features, Freelancer's special feature is that it allows competitors to display their favorite works or compete with other people for a project at the same time.

11.Fiverr

Fiverr is a more interesting part-time platform than other websites. You can sell your unique skills on it for as low as $ 5. You can find a lot of new and even strange skills on it!

12.Remoteok

Remoteok not only offers remote jobs in part-time, but also full-time, contract-signing and internships. The website developer himself is a digital nomad.

13.99designs

This is a platform mainly for graphic designers. You can compete with other designers for a project and get customer feedback.

14.Guru

You can show your work well on the guru platform, and for your skills, guru will push the right work items for you.

15.Wfh

wfh is actually an abbreviation of work from home. It mainly releases software development work, as well as customer support and design work.

5 Mistakes You Should Avoid If You Are A Freelance Programmer

2020-03-10T22:23:00.002-07:00

5 Mistakes You Should Avoid If You Are A Freelance Programmer

Here we want to draw your attention to very common mistakes that you should avoid if you are a freelance programmer of mobile applications. We hope that it will help you to avoid this when carrying out application projects.

Also to know how you should treat your projects and your customers, with honesty and competence and able to recognize your own mistakes. There are many mistakes we could quote that could cost you your freelance programming job, but in this article we will cover the top 5 mistakes that freelance developers mention that you need to take care of and correct carefully.

1. Act like a company if you are a freelance programmer:

Honesty is one of the valued qualities in the work of independent professionals, even if we speak from the perspective of freelance mobile app developers. Even if you don't share your customer's opinion.

For this reason, you shouldn't show your customers what you are not. Many application developers make their customers believe that they are a company. To build trust, to convey the feeling that they are up to the job. Well, that's a big mistake, a very big mistake. If you are a freelance programmer, introduce yourself as such.

Similarly, avoid speaking “we” to the customer in the plural, because it ultimately becomes even more confusing. If you have contracted a freelancer, he or she will wonder who the "we" mean. Create a professional and personal picture of yourself as a freelance app programmer, a figure your customers can trust.

2. Never Accept orders that are not for you: focus on your specialty:

That is, you can find projects that match your skills and knowledge. Do not accept projects that are not your specialty. If you are a freelance programmer specializing in Android, for example, then you need to find apps for Android projects.

While it is true that most programmers, freelance or not, have experience in more than one language, it is best that you focus on the ones you know best. And not on the ones that you “master” a little. Be honest and realistic with yourself. This is the key to being successful as a freelance programmer. Ideally, you will have at least Android and iOS knowledge, even if you speak other languages.

If you accept a job in a language that you do not master and that you cannot do, you risk losing the customer and giving a bad picture of yourself as a professional. It will badly affect your profile as a freelance programmer.

3. Do not continue training:

Many professionals from all over the world mistakenly believe that once you leave the faculty or have a degree, everything is done. In fact, the world is constantly changing and it is necessary that we have to keep our knowledge up to date on new developments and trends in the industry. And this is especially important if you are a freelance programmer of mobile applications.

This is even more important if you are a freelance programmer on a development team. In a professional environment, people tend to share information and news from the industry. But if you are a freelancer, you have no one to inform you and teach you about it, so you have to transform yourself into an autodidact and train yourself constantly.

4. Connect with other developers:

Following the previous point ... The profession of developer or programmer essentially means cooperation. Not being in contact with other experts could have a very negative impact on your everyday life as a free mobile app developer.

Exchanging information with other professionals allows you to share experiences, advice and tips that can help you on a daily basis. And also to make contacts, maybe even to find future customers. If you transform yourself into a hermit, you will lose most of the job opportunities that exist today.

And it is the case that freelance programmers, whether for apps or other software, are primarily dependent on networking. Whether to find good projects or to find good specialists. A good way to create this network environment without leaving or replacing your work place is to attend conferences and events in your industry.

5. Don't complain about delays in payments:

Another big mistake you should avoid is not wanting to complain for fear of customer reprisals. For example, in the case of payments, it is exactly what normally happens. And it's also one of the risks freelance programmers shy away from when they become self-employed.

Even if some freelance programmers swear by standard claims up to 30 days after the invoice date, you have no reason to do so. You can request payment when you have delivered your work. If you do not receive the money from the customer at the specified time, make a complaint!

These are not the only mistakes the freelance programmer can make while doing his job. For example, all formalities for the tax office and taxes have to be completed.

Nikola Tesla,The Great Visionary Of Electrical Engineering

2020-03-10T09:41:00.000-07:00

Nikola Tesla,The Great Visionary Of Electrical Engineering

It is difficult to imagine today's world without the impulse of electricity. The networks that provide it to the subscribers owe much to Nikola Tesla, one of the pioneers of electrical engineering who, between the end of the 19th century and the beginning of the 20th century, changed the way in which humanity had mostly used energy. However, Tesla's visionary and restless character propelled him to many other unexplored frontiers of science, which caused that instead of focusing on collecting benefits of practical inventions as his rival Thomas Edison did, he ended up losing himself in the darkness of his dreams. unattainable, located far beyond the technological horizon of its time.

That facet of Tesla, whose death was 75 years old in 2018, made him a kind of cursed genius, caused his economic decline from which he never managed to recover, marginalized him from the industry and even from many pages of history and enveloped him with a dense aura of mystery, which has inspired not a few urban legends and has even served as a raw material for science fiction novelists and screenwriters.

Nikola Tesla was born in 1856 in Smiljan, a town in present-day Croatia that was then part of the Austro-Hungarian Empire. It is said that his birth occurred during a prodigal storm in lightning, which led the midwife to express her superstitious fear about the personality that the creature would have, calling it a “child of darkness”, a definition discarded in the act by the mother, who He described him to the midwife as a "child of the light." In a way, he was right because of the important role his son would have in perfecting electric light. Far from foreshadowing something bad, lightning, as a manifestation of electricity, coincidentally fit the professional link Nikola would have with it.

From brilliant student to technician with initiative:

Growing up, the child soon demonstrated his great intelligence. The family plans to guide him towards a professional future within the clerical estate, in which his father, or the military, was integrated, were discarded, in the face of Nikola's keen interest in science and technology. Your mother probably contributed decisively to that passion. Although she lacked formal scientific training, she possessed a remarkable talent for inventing and building artifacts designed to facilitate household chores at home. Nikola grew up watching her create those little technical wonders at home.

Nikola's childhood was overshadowed by the accidental death, at 12 years of age, of his older brother. The event affected him a lot psychologically and it seems that he left a mark on his personality as an adult.

After having been a brilliant student, who was not content with only what he was taught in each course but also acquired additional knowledge in a self-taught way, he went on to develop his professional activity as an employee in the telegraphy and telephony sector. On numerous occasions, he contributed innovative ideas to improve the technologies used and at the same time began to forge his own and ambitious projects to create new electrical technologies. Not achieving the necessary financial collaboration to complete his inventions, he settled in the United States in 1884, hoping to find better opportunities there. He had already been, because of studies or work, in various nations. His facility for languages (he spoke up to eight) allowed him to move freely through them and was also very useful in his American stage, the longest and most productive.

In the United States he certainly found opportunities, but he also had to face setbacks, like the one that took him to work for a while digging trenches to survive.

The war of the currents:

Tesla's first opportunity in the United States was to be hired by Thomas Edison. He had already worked in France for one of his branches, and the excellent level he showed there opened the doors to collaborate with the famous American inventor.

However, the relationship between them soon became tense. Although they looked alike in quite a few things, even in details such as that both needed to sleep very few hours, they differed markedly in the way they approached the designs. Edison relied heavily on very long and tedious series of experiments, in order to directly verify all possibilities. Tesla preferred first to develop theoretical approaches that allowed him to select the most promising experiments to perform and discard the others.

The final collision between the two occurred at the dawn of the distribution of electricity to homes and establishments. Edison defended the sending of electricity in the form of direct current (in which the flow of electrons moves in the same direction, as in the case of electric batteries). Tesla defended the shipment in the form of alternating current (in which the flow of electrons changes between the two directions, typically tens of times per second). Edison's rejection of Tesla's method motivated him to stop working for him and become his competitor, thanks to the support of George Westinghouse, an entrepreneur and also an inventor from whom he obtained significant sums of money.

The competition between both electricity distribution systems reached very high levels of aggressiveness and in a way we can see it as a combat between Tesla and Edison. Each modality had its advantages and disadvantages, but the fact that the alternating current allowed an effective shipment of electricity from the generating plant at distances far greater than the possible ones with the continuous finally decanted the market in favor of the alternating one, which is what Today it arrives at our homes and workplaces.

From achievements to legends

In addition to its induction motor, Tesla invented and patented many other fundamental devices for alternating current. Among its more than one hundred main patents, there are innovations in many different fields, including that of electric lighting, where he made important contributions.

Some of their inventions were too advanced for their time and they were only able to profit later. For example, the remote control, which he demonstrated with a boat in 1898. The reaction of the public was a profound surprise. There were people who believed that a trained monkey was driving the vehicle from the inside, since the concept of radio control seemed impossible. Some people went further, attributing the wonder to an alleged telepathic power of Tesla, or even considering it the fruit of magic. However, the undoubted strategic value of the system was not taken advantage of even by the military establishment.

A small delay, sometimes even more motivated by bureaucracy than by the development of the technology from which to apply for a patent, can make a difference between who will go down in history for having invented something important and who will never be remembered for such a thing. The degree of improvement of the invention, and even factors such as the applicant's fame or contacts, can also contribute to that priority of one inventor over another. For his achievements with the radio, Tesla could have taken the place of Guillermo Marconi. Thanks to his work with X-rays and radiographs, he was also very close to occupying Wilhelm Röntgen's.

Some of Tesla's ideas were simply unworkable at the time and will still be for years, such as his system for transmitting energy wirelessly using radio waves, thus supplying electricity to all those buildings with the appropriate receiver. He spent a lot of money on it, but without getting promising results promising enough to attract the investors he needed. Other of his ideas were even more ambitious and did not reach much beyond mere theory. These projects, the spectacularness of his previous public demonstrations, the atmosphere of mystery that was created around him, his charisma as a genius of technology, his eccentric behavior and the solitude of his last years of life contributed to forge numerous legends about strange machines secretly built by him, that would be capable of formidable wonders; legends that, after passing away in 1943, could never be denied.

A Robotic System Classifies Oranges

2020-03-10T08:45:00.002-07:00

A robotic system classifies oranges

A new robotic system is able to automatically classify oranges. By means of ABB industrial robots and artificial vision techniques, the classification of these fruits is automated according to their size and degree of maturity, to store and transport them to the commercialization points.

As part of the final project of the Robotics course taught by Professor Pedro Cárdenas, of the Department of Mechanical and Mechatronics Engineering of the National University of Colombia (UNAL), students attended the mission of developing an application of industrial robotics for the agricultural sector, as close as possible to reality

In this case, an attempt was made to design a gripper, or clamp to pick oranges, and integrate it into a system to automatically classify them.The reason for the Mechatronics Engineering understudies was proportional up on a modern level what they had accomplished before with a strawberry sorter created at Lego Mindstorms.
For this they used a depth camera - like the Kinect of the Xbox 360 video game console - to detect where the fruits are, a transport band for the output of the material, two ABB robots - which usually have different factories -, and a tool designed by them that grabs oranges by sucking suction cups.

“It is a system formed by the mechanical unit and a controller. The first one refers to the motors, that is to say the robot, while from the second one the indications are given on how it should move ”, explains the student Realpe, who was in charge of the communication configuration.

With the vision algorithm developed by the students the position of the fruits in the basket is detected, information that is processed in the computer through an industrial communication form and that data is transmitted to the robot controller, which has a code Waiting to receive them.

“When the controller had that position, he told the robot how to move, so that he positioned himself on top of the fruit, picked it up and took it to the place of classification, in a cycle in which he continued to move automatically,” details student Realpe when explaining the operation of the system.

For the student Krejci, coordinator of the MomentUN seedbed, of which the team members are part, this project also demonstrates the opportunities that robotics and automation can represent to provide solutions to the agricultural sector by optimizing their processes and making them more competitive against countries that already have automated collection and classification of fruits.

This project was presented by the students to the university community within the framework of the Mecatronic´s day, an event organized by the MomentUN hotbed and Professor Cárdenas to disseminate among the public the work carried out in the different subjects of Mechatronic Engineering.

“For a few years we have seen that the potential of our boys is very great and that they do very interesting things, but we were running out of the classroom. We found a phenomenon, and that is that the students of the first semesters did not know what their classmates from previous semesters did, ”says the teacher.

Why Apple Logo Is Half Bitten?

2020-03-07T07:51:00.001-08:00

Why Apple Logo Is Half Bitten?

Today we want to take you closer to the development of one of the world's most famous logos: the Apple logo.

Steve Jobs, who grew up as a social orphan in Mountain View, California, was a big fan of the electronics industry while still at school. After he dropped out of college in Portland, he worked for several years at the computer company Atari. In 1976, Jobs finally founded Apple Computer Coporation with Steve Wozniak and Ronald Wayne. Since Jobs was temporarily a Frutarian in the 1970s, i.e. based on fruit, the apple in the company name was also derived from its own statements.

But there are other theories for the fruity company name:

Steve Jobs is said to have been on vacation shortly before the name was given, and to have been inspired by an apple harvest at the resort.

Or else, the idea for the name came from one of his favorite bands, the Beatles, which was under contract with Apple Records.

There is also a rumor that Jobs and his company absolutely wanted to be in the phone book before Atari and therefore decided on the name Apple.

Isaac Newton as an inspirer:

The first Apple logo in 1976 showed Isaac Newton sitting under an apple tree. This should be a nod to its discovery of gravity. The reference to the apple was of course ideal for the company. Strange detail on the side: The logo was developed by Ronald Wayne, friend of Jobs and a founding member of Apple Computer. At that time he had shares of 10%, but returned them within 2 weeks. His stake would have been worth more than $ 30 billion at the time of Job's death.

And then someone bit the apple:

For practical reasons, the logo had to be changed soon. After all, the design was too complex to print on brochure.The complexity of the logo was reduced back in 1977 with the introduction of the Apple II computer. Rob Janov designed the silhouette of an apple for this. The background should be the ironic connection between a natural apple and an artificial computer. The logo became special because of the bite on the right side. The company uses a play on words. "Bite" in English means "to bite" and sounds identical to the word "byte", a unit of measurement in computer science.

An alternative theory about the bite of the apple:

So the bitten apple also plays a role in religion, when Adam and Eve, contrary to God's prohibition, bite from the forbidden tree in an apple. However, since Steve Jobs professed Buddhism, a reference to the Bible is more doubtful.

Austria reference to the Apple logo:

Since the screen of the Apple II computer could also display color, the logo was displayed in the rainbow colors. In the early years, Apple mainly used the "Motter Tektura" font. A typeface created by the Austrian Othmar Motter in 1975. Over the decades, the company has also used the "Apple Garamond" fonts - especially for the long-term slogan "Think different" - "Mybriad" and "Helvetica" in marketing. Over the years Apple has always taken care to use a suitable font.

The change together with the products:

Since the introduction of the blue and white Macintosh G3 in 1999, the logo has no longer been displayed in rainbow colors but in one color. At the turn of the millennium there was still experimentation and the logo was presented in a wide variety of colors. The company has also presented itself for a long time with a very modern logo with a surface structure.

And Nowadays the logo is mostly shown in white, black or silver. The logo on the products in particular is mainly colorless and only stands out from the product due to the surface structure.

An unforgettable trademark:

Steve Jobs died of long-term cancer on October 5, 2011. Wherever the truth about the creation of the Apple logo lies, one thing is clear: Jobs has created an example of a perfect logo with the Apple logo. The symbol of the bitten apple has become a true trademark over the decades. The changes that the logo went through went with the development of the company and its products and were kept within a pleasant framework. Consumers could get used to the symbol and for them it doesn't matter how the logo was created.

Information in the field of web development.

2020-03-05T07:23:00.000-08:00

Information in the field of web development.

The IT industry is booming, websites and apps are springing up - accordingly, clever minds are needed to program them. Here you can find out what you do as a web developer, what requirements you should have for a career in web development and what the future looks like in this job.

Information about the job profile web development:

Web developers are software developers who specialize in web technologies. As a web developer, you ensure that programs and apps on a website are programmed, developed and maintained - with the aim that everything runs smoothly, technically and for the user. As a web developer you can work in the frontend or in the backend and use the latest web technologies.
Your requirements:

In order to get started as a web developer, you can complete a degree in computer science in the classic way - but this is not a must: There is hardly any other area with as many career changers as in web development. This means that even if you have studied something else, are still at a very high level in terms of knowledge and have continued practical and theoretical training, you can still work as a web developer. Training as an IT specialist for application development is also an option. Here you should be prepared for the fact that your salary is lower than with a Bachelor or Master. Speaking of which: unlike other IT salaries, it hardly makes a difference in web development what kind of university degree you have.

With this knowledge you can score in your application as a web developer:

Confident handling of programming and scripting languages such as PHP, Java, JavaScript, Python, Ruby, C ++ and Pearl
Front-end technologies such as HTML, XML, CSS and knowledge of SQL databases
Interested in web design
A lot of interest in the functionality of websites
very good knowledge of English
Basic technical and mathematical understanding

You should also ...

work systematically and organized
get creative with your tasks
like to communicate openly and express yourself clearly
act independently and teach yourself things
Would you like to fool yourself into something
be patient and flexible

Your tasks as a web developer:

As a web developer, you are at the forefront when it comes to finding and implementing web-based solutions. You are not only interested in the purely technical functionality, but also in the usability of web applications. You always follow trends and implement them. You not only optimize for the desktop, but also consider responsive web design and the display on other devices.

These tasks await you if you want to start a career as a web developer:

Creation of requirement analyzes and specifications for apps and portals
Implementation and testing of new features in the front and back end
Technical documentation and quality assurance
Improve usability and speed
Connect databases
Maintenance and Care
Use of new technologies
customer advisory
Elaboration of new product ideas in close cooperation with the marketing
Agile project work
Continuous training

Promotion opportunities for web developers:

As a web developer, it is important that you continue to educate yourself and not just specialize in one programming language. Being curious about new trends is the be-all and end-all in web development. This also applies to project management: Agile methods such as Scrum have long been used here. If you are creative, you can also expand your knowledge to include web design and UX design.

With professional and project experience, you can move from junior web developer to web developer and senior web developer. This also means that you take on personnel responsibility, which has a positive effect on your salary.

Jobs Of The Future 2040

2020-03-05T06:55:00.000-08:00

Jobs Of The Future 2040

What diverse, professional opportunities does the new year have to offer? Digitization has created many new professional groups and there is no end in sight for the time being. So in which of these professions do you have a long-term future?
At the beginning of the new year, the desire for change increases, new goals are set, be it professional or private. Regardless of whether you are looking for a career change, are in a career-finding phase or in a professional reorientation phase, the question of which professions have a future is of concern to many people, especially in the age of digitalization. Be it because the current job has little chance of a future, is poorly paid, one is dissatisfied with the working atmosphere or is looking for a new challenge.

Some people fear that digitization could eliminate entire professional groups. On the one hand, because working methods and processes are increasingly digitized or even completely taken over by machines. On the other hand, this creates space for new job profiles and trend jobs, particularly in the areas of education and health, as well as in the public service and trade.
Below we have listed the top 10 trend jobs for 2020:

Customer Success Specialist:

In this profession, all concerns and questions from customers are part of your area of responsibility. You work with different channels and customer inquiries. In addition, the Customer Success Specialist deals with the latest trends, which determine his daily tasks.

Data scientist:

A data scientist converts amounts of data into specific instructions for the company. For this purpose, data from all departments are compiled and analyzes and models are built. The resulting results and recommendations are usually presented to management. In addition to data processing, solutions are developed here, for example for inventory optimization or feasibility studies.

Supply chain manager:

A supply chain manager is usually responsible for smoothly running logistics and supply. This ensures that all components, end products, raw materials and information relating to the value chain and supply chain are ordered and delivered at the right time. The more effectively and smarter the so-called supply chain works, the better a company can regulate finances.

Data consultant:

Or also known as a data consultant, helps companies get more information from their data. This begins with a wide variety of analyzes, goes through programming and then ends with training and organizational tasks.

SEO specialist:

It is becoming increasingly difficult for companies to be found in an organic way via search results.
Users are usually only shown what is relevant for the majority. This is due to the ever-changing search engine algorithms from Google, Facebook, Instagram and Co.
This is where SEO specialists come into play, they are familiar with the latest algorithms and know exactly what you have to do to be at the top of the search results.

3D printing expert:

Simply print out the desired object yourself? This is where the 3D printer comes in and with it the completely new professional group of the 3D printing expert is created.
So they have been on the rise for some time, but the actual potential of them has not yet been fully exploited. A 3D printer can produce all kinds of objects for a wide variety of industries, so a 3D printing expert should be familiar with both engineering and technology.

Data protection specialist:

Data protection is becoming more and more important both in the private and in the corporate area and that is why this area is so relevant. The European General Data Protection Regulation makes the importance of the security of personal information for society particularly clear. If companies neglect these provisions, it can cost a lot of money. For this reason, experts in this area are in increasing demand.

Content creator:

The profession of content creator could be the future profession of journalism. In this area, like a photographer, blogger or vlogger, you create content that is presented on websites or certain platforms such as Instagram or YouTube. It is particularly important here that the content corresponds to the current trends and is tailored to the respective target group.

Environment and resource manager:

Humanity is always trying to act more environmentally friendly, be it weekly shopping or waste recycling. The task of an environmental and resource manager is to find environmentally friendly options for organizations, companies or state authorities and then to analyze and implement them at company, regional or even country level.

Feelgood Manager:

A job description that is often smiled at at the beginning and is often assigned to startups. The job of a feelgood manager is to create a work environment in which all employees feel comfortable. He is also responsible for finding the most suitable talents and tying them to the company.
The area of responsibility also includes increasing the well-being of the employees, organizing sports offers and events, planning health weeks and of course supporting the employees in all matters and making them happy. A Feelgood Manager ultimately increases employee productivity and willingness to work by reducing stress in the office and creating a positive working atmosphere.

5 Apps You Can Use To Make Money On The Side

2020-03-05T06:29:00.002-08:00

5 Apps You Can Use To Make Money On The Side

1. Nielsen Mobile App: Earn money via smartphone or tablet:

Earn money without working? You can do this - at a renowned, internationally active market research institute: the Nielsen Company. The respected company offers an app with which you can earn money easily and easily.
The best thing about this additional income: You don't have to do anything except use your mobile phone or tablet as usual.

2. iGraal:

Do you know cashback Translated this means nothing other than "money back". And that's exactly what iGraal is about. If you like to do your shopping online, you shouldn't miss out on iGraal. The app enables you to save or earn money when shopping online.

3. CashQuizz:

Admittedly, nobody likes to be called know-it-all. As a participant in the CashQuizz app, you will be rewarded for this. Those who know better earn money here. It's about a daily prize money of 100 euros, which will be distributed to the best players of the day. Whoever answered most of the 12 questions correctly in the daily quiz will receive the prize money. If multiple players have the same result, the prize money will be split. The exchange of knowledge becomes really exciting because you can challenge other players.

4. Slidejoy:

The reviews for Slidejoy in the Google Play Store speak for themselves: the app receives 4 to 5 stars on average. No wonder, because the money is easily earned with Slidejoy. If you install the app on your cell phone, all you have to do is unlock the cell phone.
Sounds strange? But works! App users are rewarded for swiping across their lock screen. Then an advertisement is displayed with which one can proceed freely: You can pay attention to the advertisement and react to it or you can make the advertisement disappear with a swipe. No matter how you choose - you definitely make money. Not bad, right?

5. BlaBlaCar: Earn money while driving:

No more boredom when driving! With BlaBlaCar you are in good company even on long journeys - and you can also share the fuel costs. The carpool is ideal for everyone who still has space in the car and would like to meet new people. But don't worry: you decide who you take with you.

Computer Programming

2020-03-04T22:51:00.001-08:00

Computer Programming

The term programming means the implementation of software designs. Which programming language is used depends on the task at hand. Programming is the process of making a set of instructions that tell a computer how to perform a task.

The creation of computer programs:

Programming, i.e. the creation or implementation of computer programs, is a sub-area of software development. When programming, the software design is converted into source text. With some programming languages, translating the source text into the machine language, compiling into English, also falls within this area of responsibility.

Certain languages are used for programming. With the help of these programming languages, the requirements formulated in the specification are translated into a language that can be understood by the computer.

Programmers are now often supported in their work by so-called code generators. They are able to automatically generate the program code based at least in part on models. Programming also consists of testing the created code (developer test) and preparing software documentation.

Programmers develop algorithms:

An algorithm describes how a certain type of task can be solved step by step. A well-known example is the Euclid's algorithm, which describes how the largest common divisor of two whole positive numbers can be calculated.

Algorithms can be formulated in natural language, but such instructions are not usable for a computer. The reason for this is the ambiguity that characterizes natural languages. In order to make algorithms understandable for computers, a clear form of expression is required.

Programming languages are by no means as expressive as a natural language, but you can use them to tell the computer exactly and unmistakably what it should do. The programmer therefore not only has the task of developing a method for solving the given problem, but also has to translate the designed algorithm into a programming language.

The beginnings of programming:

Programming originated in the Analytical Engine, a mechanical computing machine, the description of which was published in 1837 by the British mathematician Charles Babbage. Six years later, mathematician Ada Lovelace added notes to this description.

These “notes” included a tabular plan for calculating the Bernoulli numbers. This plan, which was drawn up about a century before the first computers, is now considered the first computer program ever. The first compiler was developed in 1949 by mathematician Grace Hopper.

The quality criteria of programming:

Certain quality criteria must be observed when programming. Which includes:

correctness
robustness
performance
maintainability

“Correctness” refers to the program that runs perfectly and is therefore free of syntactic or semantic errors. A program is "robust" when it reacts sensibly to any errors. The quality criterion "performance" denotes the lowest possible consumption of resources, such as storage space or in terms of runtime. If the quality criterion of performance is met, the program is said to be efficient. The "maintainability" of a program is guaranteed if existing errors in the program code can be repaired quickly and precisely.

Programming Tools:

To be able to program, a simple text editor and a compiler or interpreter for the selected programming language are usually sufficient. In the meantime, however, programmers have access to numerous sophisticated tools that significantly simplify the programming process. These include, for example, editors that are equipped with special functions such as auto-complete or syntax highlighting.

The transition from these text editors to the Integrated Development Environment (IDE) is fluid. With the so-called debuggers, there are also special tools that can be used for troubleshooting. Programs are also available with which static or dynamic tests can be carried out. The runtime behavior of the created program can be analyzed with a profiler.

More complex programs in particular are often created by several programmers. This collaborative programming of software generally uses versioning systems. These systems serve the purpose of storing the current program code as well as previous versions on a central server. All people involved in the development can access this.

How to make money on Instagaram 2020

2020-03-04T12:06:00.001-08:00

How to make money on Instagaram 2020

Instagram has become one of the most popular social networks with over 600 million users. That's why it's exciting to learn how to make money with Instagram.But first of all, a few important requirements are necessary that your own Instagram account must meet.In addition, there are peculiarities with the sources of income that make the money with Instagram a little different than on other platforms.Instagram mainly contain images that are shared on this platform. But even short videos are always served there.

I know many who actively use Instagram and publish their own photos as well as view and like photos of others. I am mainly active for my new hobby blog on Instagram.It is a very interactive social network, which has a high engagement rate and therefore also generates a lot of emotions. This is of course very interesting for companies that want to sell their products to men or women.

Unfortunately, it's not that easy to make money on Instagram either

Affiliate amrketing:

The very popular source of income affiliate marketing is of course also an option for Instagram. However, the problem here is that Instagram does not allow clickable links. So if you enter a URL in your description text on an Instagram post, the link is simply displayed as text.

This makes earning money harder, but not impossible. URLs should be as short as possible so that the followers can remember them and type them into the browser themselves. This works e.g. with the short links in the Amazon partner program, which can be generated via the site stripe.

It is best if you use the products in a real life situation and show what you get out of it and how you like it.

2. Paid contributions:

Paid contributions are rather classic. There are a lot of services (especially in the US) that pay money per sponsored mail.

In Germany this is e.g. Ranksider and Sharepop. The earning potential of course also fluctuates from service to service and from order to order. Compared to YouTube, where you need a lot of views to make good money, it seems to be worth it.

The payouts are e.g. at $ 10 per post paid if you have 5,000 followers. The more followers, the higher the compensation. In part, the remuneration is also based on the number of likes that the paid post receives, so it pays off if you have an active fan base.

3. Advertise your own products or services:

Another way to make money is to advertise your own products or services. For this, e.g. own eBooks that you have written. For example, I could Advertise my niche site construction e-book via Instagram.

But also own services or e.g. an offline business could be advertised with the right Instagram account. This is certainly a little more special, but it is possible.

4. Sell merchandise:

If you have made a really good name for yourself on Instagram and many loyal fans, then it can be worth selling your own merchandising. T-shirts are e.g. very easy to create and sell on platforms like spreadshirt.de.

But other items can also be produced and sold via financial services without financial risk.

5. Sell photos:

It can be interesting for photographers or travel bloggers in particular to offer their own photos for sale via Instagram. There is no direct option via the app, but with really good photos you can regularly offer subscribers the opportunity to purchase individual photos in full quality.

There is also one or the other service that supports this or even offers photo orders and the like. An example of this is foap.com.

Warning!

Finally, a word of warning. It is now not only on YouTube that crackdowns are being used harder. On Instagram, more and more users are getting a warning because they lack the required transparency. Even large corporations are not spared.

In order to avoid surreptitious advertising, paid Instagram posts or posts containing any kind of sponsored products etc. must be identified as advertising. The best way to do this is with advertising or advertising and not just at the end of the long article text.

It is highly recommended to be honest with your subscribers and not to deceive them. In the long run, that's the better strategy.

Motivation-Yes You Can!

2020-03-03T14:09:00.000-08:00

Motivation-Yes You Can!

Do you know the feeling: You want something to happen, but it's just incredibly difficult to motivate yourself to do so? There are important tasks ahead, but are you pushing them with 1000 excuses instead of tackling them?

YES?

Then we have to change that!

Both at work and at home, you need motivation to achieve goals and get results. Motivation requires a certain level of self-knowledge, communication, organization and incentives.

Here are the tips on how you can motivate yourself and others:

Have fun:

Work is funniest when it doesn't feel like work. So have fun with everything you do and let your surroundings participate. A positive environment leads to better results in all work and life situations.

Show gratitude:

Recognition, praise and rewards create eager and productive people. Gratitude is something that costs nothing but is incredibly valuable.

Keep it simple:

Why complicated when it can be easy? Don't try to make things unnecessarily difficult. Everything that is simple is more fun.

Set short and long term goals:

Use short and long term goals as a guide for both your actions and the achievement of your mission. Always make sure that you don't set too many goals at the same time. This is important to avoid confusion. Better concentrate your energy on a few, but essential goals.

Set performance incentives:

Certain incentives make people more motivated to perform well. With a view to the various forms of incentives, i.e. from more salary to more responsibility to more fun (very important), it also becomes clear that not all incentives are equally effective or have the same meaning for everyone. So choose wisely.

make appointments:

Many people are most productive shortly before a big appointment. It's also harder to distract and is more focused when a deadline is getting closer. Use that to your advantage and set a series of mini appointments.

Give detailed instructions:

If you want something to be done properly, give proper instructions. A proper instruction always answers the 5 W questions (who?, How?, What?, Where?, Why?). People work better and happier when they know exactly what to do and what to expect.

Be polite:

Be nice to people and get them on your side, they will help you as best they can. Be an asshole and people will do everything they can to ignore you wherever possible.

Promote team spirit:

Create an environment that promotes camaraderie. People work more effectively when they feel that they are part of a team, that they belong to them. A good team won't let anyone down. A good team goes through thick and thin together.

Set and reward intermediate goals:

Always set a few intermediate goals on the way to your final goal. It is nice when you reach these points. In this way, you are constantly made aware that you are on the right path. Reward yourself when you have reached it (e.g. with a short break).

Satisfy personal needs:

Think about and satisfy personal needs of you and your team members. What is it that we really need? What makes us happy? By considering and understanding needs, people stay happy and productive.

Concentrate on the result:

Nobody likes it when you are constantly looked over your shoulder at work and constantly receive advice from know-it-alls. Make it clear to yourself what you want to achieve and concentrate 100% on it. Avoid people who are constantly telling you what they would do. That slows down your enthusiasm.

Fittingly: What really motivates us? - Certainly not reward and punishment
Show trust and respect

Give people the trust and recognition they deserve. On the one hand it is a sublime feeling for yourself and on the other hand you get more attention and respect from people.

Set new challenges:

It's just fun if you keep devoting yourself to something new. You move away from old and boring habits and bring a breath of fresh air into your life. This makes room for new rushes of enthusiasm.

Promote creativity:

Be creative yourself and promote creativity with all those around you. Don't always expect things to be done the way you would do them. Your variant is always just one of many. The opportunity to be creative makes people more optimistic, creates a positive environment, and often leads to brilliant ideas.

Criticize constructively:

Often people do not realize that they are doing something wrong or that they are on the wrong path. Tell them. Restrict yourself to facts and then look for a solution together or offer a compromise. Most people want to improve and will try to do it right if they know how to do it.

Obtain suggestions for improvement:

Don't stagnate. Search for suggestions for improvement in a wide variety of life situations. Every time you set your bar a little higher, the motivation to overcome it increases.

Create opportunities:

Always remember your own abilities and the possibilities that arise. Help your environment do the same. New opportunities inspire and can lead to tremendous dynamism.

Pay attention:

Always keep all communication channels open. With an open ear and a trained eye, many problems can be avoided before they even arise.

Do it exciting:

Action baby. If you've always had to do the same thing, make sure you make it exciting. If you're responsible for people, don't ask them to do the same all the time. A stimulating environment creates enthusiasm and the opportunity for thinking on a large scale.

Reward yourself:

A short trip, a beer, a visit to the cinema. There are many ways to reward yourself. It is important that you become aware of your own performance. If you do not internally appreciate what you have achieved, then there is no reason to continue. By rewarding yourself you say to yourself: “Great! You are on the right way!"