4Y AR-GE YAZILIM

Beacon|Bluetooth Based Interaction Technology

What does it mean?

For users, IoT will enable a heart rate or blood pressure monitor to regularly send information to your mobile phone or any communication channel you want, or to be aware of discounted products, opportunities, campaigns and promotions you pass in a shopping mall. Thanks to this technology, you can watch your children with smart shoes, listen to music while taking a shower in a house that learns your routines from your actions, or you can open your door without removing your key in front of the door. Thanks to the IoT, it will be possible to travel with smart vehicles, to end traffic accidents and to monitor energy in real time. The fact that wireless technologies have become very cheap and low energy consumption with BLE technology are just a few of the opportunities that Beacon and its technique provide us.

The current situation:

Bluetooth technologies are just taking their first steps. Currently, electronic devices are used in all smart devices, PCs and the automotive industry. BLE is applied in an integrated way in many sports and fitness companies. BLE, which is also applied within marketing and sales channels, is a technological platform that can be easily applied in the field of promotion and advertising. Research within 5 years shows that the returns of BLE studies will increase rapidly and spread worldwide. Devices that are uniquely separated from each other by the Internet of Things will evolve with the technological structure that will allow them to be controlled remotely, and will turn into a worldwide network of sensors and digital brains that are never offline as envisioned.

EVYS, K-EVYS (EVYS – Electronic Data Management System, Public Electronic Data Management System – New Generation EBYS)

EVYS, K-EVYS (EVYS – Electronic Data Management System, Public Electronic Data Management System) to join. .

Rationale of the Project:

The most important capital that an organization has in the current century is the information that it has.

In that case,

“In the age we live in, it is only possible for organizations to adapt to the conditions of competition and take correct decisions during administrative activities, only if they can access up-to-date and qualified information on the right structures as soon as possible.”

For this purpose, in parallel with this inevitable approach in our country, many companies have developed software on this subject (EBYS, DAYS, etc.).

Classical Electronic Document Management System and, in short, EBYS are applications developed for the organization and management of information, documents and documents in digital environment. These systems, known as DYS Document Management System, DAYS Document Archive Management Systems, EBYS Electronic Document Management Systems, EDYS Electronic Document Management Systems, are actually intertwined applications that cannot be independent of each other. In general, their functionality is application management systems consisting of different services and modules such as digitizing paper documents with different scanning methods and storing these documents in electronic environment for legal retention periods, opening them to research, querying, viewing and reporting for corporate personnel or authorized users on the intranet or internet. In recent years, these applications, which are on the agenda of medium and large-sized companies, are carried out in order to keep certain needs and the high costs created by these needs at a minimum level. It keeps its customers in paper documents and electronic documents. Again, this research reflects the fact that approximately 25% of documents are kept in the wrong places and employees spend 60% of their time searching for these documents. This wrong working method, on the other hand, means that 15% of the company's revenues are reflected as negative costs.

The Relationship Between the Real Value of Data and the Option Value Inspired by the following approach, Rotelle quotes Ann Winblad as “Data is the new oil” (Rotella) or, as Michael Palmer puts it, “Data is just crude oil, its value if unrefined but it is not usable” (Palmer, Michael. “Data is the New Oil.” Web. April 10, 2016.) statements that those who own data and use data better in their business processes will be much more valuable institutions/companies/persons, and in this way they can compete with their competitors. We can conclude that they will make a serious difference against them.

Internet technologies accepted within the scope of developing information and communication technologies; With the help of web pages, blogs, social media applications, sensors and many other data-collecting devices and applications, it has become to collect scientific or non-scientific data at any time. These collected data can be used in marketing, public relations, automation, engineering, banking, security, etc. In addition to many fields, it can also be used in research by researchers. As a matter of fact, as a result of understanding the value of this data stack, many different techniques can be used in stages such as collecting, processing, making it available to users, making it accessible, storing, and analyzing. The concept of “Big Data” emerged with the support of technology and the production of new solutions.

So what is big data?

The definition of “Big Data”, that is, “Big Data” in Turkish (we can also say Giant data), does not only mean “data that takes up too much space on the disk”, but also means data that cannot be processed with traditional methods and tools. The advancement of technology, the development of the internet and social media The emergence of the power of knowledge, thanks to the revolution, has radically changed the way we do business. Companies have to make a difference in order to be one step ahead. Therefore, it is now understood how important even the smallest information is. So, where is this valuable data?

In fact, this data is everywhere. In fact, we become a part of it every day. Every click we make while using the internet is very important data. RFID and sensor technologies are becoming more and more widespread, constantly collecting data about the environments they are connected to. It's sure to become more common in the future, and some cars are already starting to collect driving statistics. All these, financial data, medical data, all together make up giant data. So how is so much data stored?

Although the development of technology causes hardware prices to fall, it can increase hardware costs excessively due to the size and abundance of data that needs to be stored. While the disks to store terrabyte-sized data are down to the home user, huge data can be at petabyte, exabyte, maybe even zettabyte level. In 2000, 800,000 petabytes of data were stored all over the world. It is estimated that this data will be 35 zetabytes in 2020. For example, Twitter stores 7 TB every day, Facebook 10 TB, and some institutions store TBs of data every hour of every day. However, it is possible to store this huge data, which we can store with high-cost hardware, in giant data solutions formed by combining less costly, simple hardware with open source distributed file systems. So, how can this huge amount of data be processed and the necessary information obtained?

Let's say we are a company that provides a high-volume search engine service. Millions of words are searched every day in our search engine, millions of clicks are made. If we were using classical methods, we would probably have to have hundreds of thousands of dollars of database systems running on millions of dollars of hardware to store this data. Let's say we have this system, when we want to analyze the words that are related to each other, it is not possible to do it with SQL queries. Query operations can take so long that the result we will draw may even be out of date. Another obstacle is that this data is kept as unstructured. In other words, it is not possible to process huge data with classical methods. Giant data can only be processed with giant data solutions.

Google has achieved success by not using classical methods, but by developing the technology it needs. Google keeps the data of billions of web pages on Google File System, uses Big Table as database, uses MapReduce to process huge data. All of these technologies work on clusters of thousands of low-cost computers. Similarly, Amazon keeps its data on DynamoDB.

Companies such as Google and Amazon publish academic articles about their studies on the technologies they have developed. Inspired by the articles they published, some software developers such as Doug Cutting are developing similar technologies as open source. The best examples of these are projects such as Lucene, Solr, Hadoop, HBase, which usually appear as Apache projects. Each of these projects are successful projects that can use giant data.

Companies such as Facebook, Twitter and Linkedin, which are among the companies that we can call the second generation, go one step further by publishing the projects they developed for giant data as open source, rather than keeping them to themselves. Cassandra, Hive, Pig, Voldemort, Storm, IndexTank projects are examples of these. Apart from these, there are hundreds of projects developed for processing huge data such as MongoDB, Riak, and Redis, and a new one joins them almost every day. Meanwhile, as giant data gains importance, existing projects both find financial support and mature technologically. So what can be done with giant data?

The information we need is in the giant data. An information technology company can record every movement of its systems and find answers to questions such as "which errors are related to each other", "which problem affects the performance of your system and how much". A bank can detect fraudulent attempts from customers' movements. The e-mail service provider can analyze all e-mails and determine which ones are spam. It can show the most suitable ads by analyzing the likes and shares of social networking site users. By analyzing the products purchased by its customers, a store can recommend the most suitable products and increase its sales. So, giant data sheds light on the future.

RFID: Radio Frequency Identification: Radio Frequency Identification

It is the transformation of data carried by using Radio Waves into information in a controlled working environment.

RFID Technology can be used to track all living or inanimate objects.

The technology, which started to be used with radar technology in the Second World War, has become operational today with chips that can read 1000 or more tags per second, make remote sensing of 100 meters and receive information with 1000s of character memory.

RFID tags are basically divided into two. These are active and passive tags. The differences between the two types of labels can be easily seen in the table below.

Basically, RFID tag and RFID reader are the most critical components in RFID technology. We can also add RFID printer, RFID antenna, software to be used by the system.

As soon as RFID is used only in a single field or industry. Today, there are examples used in big shopping malls, chain markets, animal tracking, airlines-cargo companies. With this technology, the advantages of companies are reduced manpower costs over time, automated stock control, product tracking and inventory information that can be accessed instantly. In addition, thanks to RFID, the business processes of companies will be accelerated and the required advanced reports will be created quickly and with high accuracy.

The only technology that RFID will affect and replace is barcode technology. Barcode, which is used extensively not only in the world but also in our country, has some disadvantages compared to RFID. For example;

a) Field of view

b) Read data only

c) Restricted space and reading rate

as. However, barcode technology currently has a very powerful feature compared to RFID. That's also the cost per tag. If we look at the issue from the aspect of RFID, it can be easily seen that RFID technology is very advantageous compared to barcode, apart from cost. Because in RFID;

a) There is no concept of field of view

b) Data can be read/written on the label.

c) It is possible to read more than one item in long distance and each reading. In this way, you can count your stocks in your warehouse or warehouse in minutes instead of weeks - days - hours.

d) There is no need for human/operator intervention. In this way, you can reduce your long-term costs as much as you can not predict.

e) More data can be moved. In this way, not only the code of the product, but also the warehouse where it came from, expiry date or other requested information can be loaded on the labels.

Another distinguishing feature of RFID tags is the frequency ranges in which they operate. You can see the operating frequencies of RFID tags in the table below. The frequencies of the tags commonly used today are mostly in the HF (High Frequency) range. The cost of a tag varies not only according to whether it is active or passive, but also according to the frequency it operates.

BENEFITS OF RFID

Although RFID is an application that is used in many areas in businesses, the following issues come to the fore as the main targets and / or benefits.

One of its most important applications is to see the current goods inventories and production measurements at any time.

Correct entry and creation of production and stocking information within the production and storage area.

Even if there is no label or text on the parcel showing the product and information, the parcel information can be read. Preventing events such as surprise and misinformation in military applications.

To prevent mistakes that can be made by the officials who will implement in the production chain.

To reduce the time and personnel expenses lost for barcode reading.

Monitoring and preventing corruption that may occur within the enterprise even if it is not wanted.

Prevention of loading and shipping errors.

It is the fact that the information contained in the RFID tag contains the exact information of the product on which it is located. (For example, production date, time, batch number, manufacturer, shipper, etc.). On the other hand, the barcode contains only the general information of the product (manufacturer and product number). With this feature, RFID provides great benefits in service and recycling services.