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Networking Hardwear

Networking hardware is a set of devices necessary for the operation of a computer network, for example: a router, a switch, a hub, a patch panel, etc.  

Active networking hardware is equipment containing electronic circuits receiving power from an electrical network or other sources and performing the functions of amplification, signal transformation, and others.  This means such equipment is able to process the signal by special algorithms. In the networks there is a package data transfer, each data package also contains technical information about its source, purpose, the integrity of information, etc, allowing to deliver the package to its destination.

Active networking hardware includes the following types of devices:

  • Network adapter - a card that is installed in the computer and provides its connection to the LAN;
  • Repeater - a device, usually with two ports, designed to repeat the signal in order to increase the length of the network segment;
  • Hub (active hub, multiport repeater) - a device with 4-32 ports, used to connect users to the network;
  • Bridge - a device with 2 ports, usually used to combine several LAN (local area network) workgroups, allows you to filter network traffic by analyzing network (MAC) addresses;
  • Switch - a device with several (4-32) ports, used to combine several LAN working groups (otherwise called multiport bridge);
  • Router (router) - used to combine several  LAN workgroups, allows you to filter network traffic by analyzing network (IP) addresses;
  • Retranslator - to create an advanced wireless network with a larger coverage area and is an alternative to a wired network. By default, the device operates in the signal amplification mode and acts as a relay station that catches the signal from the base network router or access point and transfers it to previously unavailable sites.
  • Media converter - a device, usually with two ports, used to convert the data transfer medium (coaxial-twisted pair, twisted-pair optical fibre);
  • A network transceiver is a device, usually with two ports, commonly used to convert the data format. A transceiver can be mentioned as a Medium Access Unit (MAU) in Ethernet network terminology.

Additionally to this set of devices, to become a part of the network, a computer must have a network interface card (NIC).

Mentioned above networking hardware can be called a set of computer networking devices or

network equipment.  

Additional Terms
Artificial neural network (ANN)
Artificial neural network (ANN) is a group of neuron nodes, interconnected with each other. Every circular node works as an artificial neuron that exchanges information with each other, similar to the functional principles of biological neural networks. The whole system is termed ANN. The main advantage of artificial neural network implementation lies in the ability to perform complex mathematical modelling for emulation. This helps scientists to predict different processes and trends based on the visualisation of these models. ANN is a simple system of processors (artificial neuron), in which neurons connect and interact reciprocally with each other. Each neuron periodically receives signals and sends them to others. By connecting to a reasonably large network of similar neurons, these single processors can perform quite complex actions. From the point of view of machine learning, neural networks are special cases of discriminant analysis, pattern recognition and grouping methods. From the mathematical point of view, the learning of neural networks is a multiparameter problem of nonlinear optimization. From the development of computation and programming, neural networks are a way to solve efficient parallel problems. From a cybernetic perspective, neural networks are used for problems of adaptive control and robotic algorithms. From the point of view of artificial intelligence, neural networks are the basis of the philosophy of connectionism and the main direction of the structural methods of using computer algorithms to establish the possibility of natural intelligence. Neural networks are not just programmed, but are also well trained. The possibility of ‘learning’ is one of the main advantages of ANN over traditional algorithms. Stages of problem solving Data collection for training; Selection of network topology; Preparation and normalization of data; Experimental selection of training parameters; Experimental selection of network characteristics; Actually learning; Checking the adequacy of training; Adjustment of parameters, final training; Verbalization of the network for further use. Technically, ‘learning’ is to find the coefficient connection  between neurons. During this process, the neural network is able to detect complex dependencies between data input and output and perform generalization. This means that if training succeeds, the network can return the correct results based on data not provided in training samples and incomplete and / or "noisy" and partially distorted data. So, with the help of the ANN we can predict the most probable event. For the business environment, such operations are vital in the financial, medical, construction and any decision-making field.
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Additional Terms of Network
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Net Promoter Score (NPS)
Net Promoter Score (NPS) is an index that identifies customer loyalty to a product or company and is used to assess readiness for re-purchases. How It Works Measuring the NPS loyalty index involves several steps: Consumers are asked to answer the question “What is the probability that you would recommend a company/product/brand to your friends/acquaintances/colleagues?” On a 10-point scale, where 0 corresponds to the answer “I will not recommend it in any way”, and 10 - “ I will surely recommend. " Based on the estimates obtained, all consumers are divided into 3 groups: 9-10 points - product/brand promoters, 7-8 points - passives, 0-6 points - detractors. Calculation of the NPS index itself. NPS =% supporters -% critics As a result, the the user’s loyalty score calculated on the scale from -100 to 100. If all the customers are willing to recommend the product, the score will be about 90-100, if they are not willing to recommend it - the NPS will drop to -90-100 points.   NPS trade mark was registered for the marketing tool, which automates the calculation of the above mentioned data. History Frederick Reichheld is considered the founder of the method, who first announced the method in the article “One Number You Need to Grow”, published in the Harvard Business Review in December 2003. In 2006, he released a book entitled “The Ultimate Question: Driving Good Profits and True Growth”. He continued his arguments on the loyalty, profitability and growth of the company. In 2010, Reichheld conducted research in more than 400 American companies, where the main task was to measure the influence of customer loyalty (measured by NPS) on its growth rate. The main result was the conclusion that the average NPS by market in the industry was 16%, but for companies such as eBay and Amazon NPS it was 75%. Reichheld does not say that communication is present everywhere: it is absent altogether in monopolistic markets. However, industries such as passenger air travel, insurance, and car rental have become a prime example of interconnection. This is obvious, since these companies are service providers, where customer satisfaction and loyalty depend on the level of customer service. As a result, many companies have become adherents of this technology, including Apple, American Express,  eBay, Amazon, Allianz, P & G, Intuit,, Philips, etc. For certain industries, especially software, it has been proven that detractors often stay with the company while passives leave.  This seems to be a relatively high barrier to trade. Faced with criticism of the promoter's score, proponents of the network promoter's approach stated that the proposed statistical analysis only proved that the "recommendation" problem was similar to other indicators in predictive capacity, but failed to solve the real problem and this is the core of the argument presented by Reichheld. Proponents of the method also argue that third-party data analysis is not as good as analyzing the company in its own set of customers, and the actual benefits of the method (simple communication concepts, short survey, customer follow-up features ) exceed any statistical disadvantage of the approach. They also allow inquiries using any other issues to be used in the net promotion system, as long as it meets the criteria to securely classify customers as promoters, passives and detractors.
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Headless browser
is a web browser, which communicates with the user in the command-line mode, without a traditional graphical interface. Headless browsers can automate the controls of a web page in an environment similar to some popular browsers. They are particularly useful for testing web pages because they correctly interpret HTML, style sheets and JavaScript execution with AJAX - such functions that are not always available during testing. In 2009, Google began using headless browsers to help its search engine index AJAX3 sites. Headless Browsers Use Cases Headless browsers can be used for: Web app tests automation. Web page screenshots. Automated tests for JavaScript libraries. Web scraping to data recovery. Website interaction automation. Malicious Use Cases Headless browsers can also be used to: Perform DDOS attacks against websites. Increase the number of views. Automatically search for sites for fraudulent use, for example, confidential identifiers. List of Headless Browsers Here is a list of browsers offering headless functions: PhantomJS - a headless browser using the WebKit engine for rendering its pages and JavaScriptCore for javascript execution. PhantomJS was originally developed in 2010. HTMLUnit - also headless, written in Java. HTMLUnit uses Rhino for the JavaScript. TrifleJS - a version of the scriptable Internet Explorer browser that uses the Trident rendering engine and the V8 JavaScript engine. TrifleJS uses the same API as PhantomJS and, works by using the WebBrowser object of the .NET WebBrowser framework to control the version of IE installed on the machine. Splash - it has HTTP API, Lua scripting and an IPython IDE. Splash is written in Python and uses the WebKit rendering engine. Weboob - a Python library. Emulated Headless Browser These browsers emulate the environment of a browser Zombie.js. a navigation environment for Node.js20,21. ENVJS. a navigation environment is written in JavaScript for the Rhino engine. While they are able to support common browsing functions (HTML parsing, XHR, cookie support, etc.), they can not render and have limited support for DOM events. They usually run faster than a typical browser, but are unable to correctly interpret many sites.
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Frame
is a unit of digital data transmission in computer and telecommunication networks. In a packet-switched system, a frame is a simple container for a network. In other telecommunication systems, frames are repeating structures that support time division multiplexing. Frame (HTML) - in web-design: the presentation of multiple HTML documents on a separate web page. Frame rate is the number of images displayed on the screen per time unit, usually expressed in FPS (frames per second) Frame (GUI), a box to save other widgets in the graphical user interface A frame typically includes a synchronization feature that has a sequence of bits, ‘or symbols’, indicating the receiver, the received symbol, or the beginning and end of the upload data in the bit stream. If the receiver is connected to the system during transmission, it will ignore the information until it detects a new frame synchronization sequence. Packet switching In the OSI model of a computer network, a frame is a data unit of the link layer. The frame is the result of the last encapsulation layer before the data is transferred by the physical layer. Each frame is separated from the next frame by an interval. It is a series of bits, usually consisting of a frame synchronization, a packet payload, and a frame check sequence. Examples include Point-to-Point Protocol  frames,Fiber Channel frames, Ethernet frames, and V.42 modem frames. Typically, several frames of different sizes are nested within each other. For example, when using the PPP protocol in asynchronous serial communication, the 8 bits of each byte consist of a start bit and a stop bit, and the payload data bytes in the network packet are framed by the header and footer, several packets can be framed with bound bytes. Time division multiplexing In telecommunications, particularly time division multiplexing (TDM) and time division multiple access variants (TDMA), a frame is a cyclically repeated block of data consisting of a fixed number of time slots; each interval is time used for Logical TDM channels or TDMA transmitters. In this context, a framework is usually an entity at the physical layer. Examples of TDM applications are SONET / SDH circuit-switched B channels and ISDN, while TDMA examples are circuit-switched data used in early cellular voice services. This frame is also an entity for time division duplexing, wherein the handset can transmit during certain time slots while receiving other slots.
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