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Social networking sites such as Twitter and Facebook attracts millions of users across the world and their interaction with social networking has affected their life. This popularity in social networking has led to different problems including the possibility of exposing incorrect information to their users through fake accounts which results to the spread of malicious content. This situation can...
Fraud detection is an enduring topic that pose a threat to banking, insurance, financial sectors and information security systems such as intrusion detection systems (IDS), etc. Data mining and machine learning techniques help to anticipate and quickly detect fraud and take immediate action to minimize costs. This paper starts with the definition of intrusion detection system and its types, focuses...
In small and home office (SOHO) computer networks, an intrusion detection system can be activated to intercept the possible attack. Network traffic analysis is the basis of attack detection methods. In the intrusion detection process, both hardware and software solutions are available, as well as in systems that are bundled together. Hosting these systems in SOHO networks is usually negligible because...
This paper deals with a fully differential (FD) operational amplifier (opamp) consists of double folded cascode and class AB output with continuous time common mode feedback (CMFB) network. The opamp is designed in 0.18 μm CMOS technology in Cadence Spectre Circuit Simulator with 1.8 V supply. In this single supply, opamp has 117 dB gain, 65-degree phase margin, 72 dB common-mode rejection ratio (CMRR)...
Over the past decades, many WSN (Wireless Sensor Network) systems have emerged. Today, the WSN systems with different technologies have started to become parts of Internet of Things (IoT) and Cyber-Physical Systems(CPSs). This situation has also led to the emergence of heterogeneous and autonomous WSN structures. In these types of complex projects, involving different WSN systems, it is necessary...
In world one out of two people is using a smart device. These devices those protect the personal data, those have people do their payments are targeted by attackers. Mobile applications include so many security threats all over inside the web traffic and the server that they communicate. Threats created by attackers can be divided to two titles which are direct attacks and indirect attacks. In this...
In this study, an embedded system has been developed to provide remote control of dot matrix signboards widely used nowadays. With this developed system, it is possible to control and use one or more signboards anywhere. The developed electronic signboard can be in the desired dimensions by connecting the unit modules in many different forms thanks to the electronic circuit realized for the dot matrix...
Deep learning is a subfield of machine learning which uses artificial neural networks that is inspired by the structure and function of the human brain. Despite being a very new approach, it has become very popular recently. Deep learning has achieved much higher success in many applications where machine learning has been successful at certain rates. In particular It is preferred in the classification...
Millions of data are collected daily in the social media environment. This data mostly reflects people's ideas in a certain topic. Emotion analysis is a new data mining subfield and is usually concerned with information extraction and identification from emotions in social media. Twitter is a platform where users share their ideas through messages. These messages can be classified to analyze the feelings...
Today, people use the internet extensively to meet their information needs, to socialize, to communicate, to handle formal and informal processes. The web-based information networks established for this purpose are growing day by day and reach a larger audience. Facebook, the world's largest social network, has reached 2 billion users. There are social information networks established for different...
One of the most important role of economic variables in today's world countries are the price and the change of the price of crude oil. Changes in the price of crude oil have a very critical role in terms of treasury and budget, both in company and state planning. For example, one may choose one of the energy or natural gas indexed energy production plans based on the trend of the crude oil price,...
Today, fare collection systems are frequently used in public transport. In these systems, some operations such as payment and system management are performed by the driver computer devices. Passengers need to be alerted and informed during these operations. In this study, a multiple sound system needed in fee collection systems have been implemented by an embedded system that includes a microprocessor...
The solution of difficult problems can be realized in shorter time with heuristic algorithms. There are many heuristic algorithms. In this study, artificial bee colony (ABC), biogeography based optimization (BBO), cuckoo bird search algorithm (CSO), differential evolution (DE), imperialist competitive algorithm (ICA) and particle swarm algorithm (PSO) have been chosen due to reasons such as the widespread...
Failure modes and effects analysis (FMEA) is a powerful and proactive quality tool for defining, detecting, and identifying potential failure modes and their effects. However, conventional FMEA process is sometimes difficult to implement due to workload required and subjectivity of the evaluations performed. Hence, automation of this tool can be useful for some application domains to objectively evaluate...
In banking where customers are served from various channels, branch is still one of the most preferred service channels as a face to face communication channel. Key performance indicator of branch services is to minimize waiting times so that customers are served in a timely fashion. With the advances in digitalization capabilities, reservation ticketing systems for branches has become much more disseminated...
Today, fare collection systems are quite widely used in public transport vehicles. The public transportation system managers need to follow numbers of people in the vehicle instantaneously. Information such as passenger movement in bus stops, the occupancy rate of routes, the number of stowaways can be achieved with passenger counting systems. The number of boarding on vehicles can be obtained with...
Today, with the development of the internet, documents containing information such as articles, news, web pages are produced and stored in digital environment. However, the increase in the number of media where people are able to add new contents such as social media, Twitter, and blog has increased the amount of information on the internet to enormous size. However, it is very difficult and time-consuming...
Twitter is one of the most popular microblog sites developed in recent years. Feelings are analysed on the messages shared on Twitter so that users ideas on the products and companies can be determined. Sentiment analysis helps companies to improve their products and services based on the feedback obtained from the users through Twitter. In this study, it was aimed to perform sentiment analysis on...
Neural network technique has been recently preferred in textile sector for the prediction task because the traditional mathematical and statistical methods can be inadequate to derive complex relations within textile datasets. Meanwhile ensemble learning has become a popular machine learning approach in recent years due to the high prediction performance it provides. Therefore, this study proposes...
In this study, a system has been developed to provide meaning and classification of e-mails according to their contents. The aim of the work is to develop an intelligent inbox to assist in awareness of information security. In the designed system, a client is developed that can connect to the server and receive e-mails. A two-step analysis is performed on the received e-mails. For both stage analysis,...
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