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Web development shows itself in the e-learning environment. Developments in the e-learning environment are expected to provide high motivation, cooperative and more constructive experiences for students. In terms of being able to provide convenience in technological harmonization process which is in need of professionalism, programming skills are also included in today's needs. E-learning environments...
Classification of daily human movements using wearable sensor technology is among the current research topics, especially healthcare. In this study, eight different daily human movements (writing, walking, running, tooth brushing, writing on paper, using keyboard, stationary and cleaning) are classified by using data obtained from only smartwatch motion sensors (accelerometer and gyroscope). To compare...
Web activities are big data revealing the thoughts and intentions of users. Every file that is downloaded, and each searching word in the search engine are thought as reflections of the user's tendencies. Web activities are used to analyze in traces of crime in all kinds of information systems such as computers and mobile phones which are electromagnetic optical devices. The use of smart systems or...
In this study, improved antlion optimization algo-rithm (IALO) is presented. The antlion optimization algorithm (ALO) is an heuristic optimization algorithm based on modeling random walks of ants and hunting ants by antlions. The random walk model of ALO and the IALO revealed by improvements in the selection method have been tested with benchmark functions with different characteristics from the literature...
One of the biggest problems of today's internet technologies is cyber attacks. In this paper whether DDoS attacks will be determined by deep packet inspection. Initially packets are captured by listening of network traffic. Packet filtering was achieved at desired number and type. These packets are recorded to database to be analyzed, daily values and average values are compared by known attack patterns...
It is important to use healthy communication and appropriate routing techniques to increase performance in wireless body area networks. At present, the biggest problem of sensor nodes that bring such networks into the uneasiness is limited energy resources. In this paper, it is proposed to make road selection by calculating the distances of the nodes and the battery levels while making the routing...
In the first part of this study, the basic concepts of forensic phonetics such as voice, speech, and voice track are explained. In the second part; visual and auditory montage detection methods used in forensic phonetics, one of the lower branches of digital forensics, were examined. The most frequently used visual and auditory analysis methods have been determined by examining the literature. Then...
The remote controls which are used to control the robots are very expensive. In addition, one remote control is required for each robot. The goal of this work is to control multi robots at the same time by publish a single ROS message using one Android device. The user can drive robots with help of a variety of sensors and camera data which are displayed on the Android device screen, even if the user...
The heavy construction of railway transportation vehicles is affecting the transportation route. The rail line, which is made with great care, can be damaged by the movements of freight trains. As a result of the use of rail lines, many faults occur. These failures are caused by the manufacturing error or use of the rails. There are many methods for early detection and repair of failures. One of these...
In this study, from the problems of graph theory to the Maximum Independent set problem belonging to NP-Hard complexity class, were searched solutions close to optimal quality by using genetic algorithms from artificial intelligence techniques. Unlike most of the studies in the literature, the initial population of the genetic algorithm has not been determined at random and has been created with various...
This paper presents implementation of fault emulation method which is very important in today's chip tests on a platform with heterogeneous architecture. Nowadays, the increase in the number of transistors in electronic circuits put fault emulation method forward which is faster than fault simulation in order to obtain a test set against possible defects on chips. In this method, a hardware model...
In this work, we generalise the categorical syllogistic logic in several dimensions to a relatively expressive logic that is sufficiently powerful to encompass a wider range of linguistic semantics. The generalisation is necessary in order to eliminate the existential ambiguity of the quantifiers and to increase expressiveness, practicality, and adaptivity of the syllogisms. The extended semantics...
The purpose of this study is to examine generalized self-efficacy and attitudes of the F.M.V. Işık University Engineering Faculty students of Introduction to Programming Course (CSE101) with respect to student gender and course language (Turkish-English). A total of 114 university students, 40 female and 74 male, participated in the research. In order to measure students' self-efficacy perceptions,...
The brain produces weak electrical signals that can be measured from the skull. Electroencephalography (EEG) is a method that provides monitoring electrical activity of the brain with the electrical methods. Brain Computer Interface (BCI) is a system that converts the electrical signals produced by the brain to the signals that can be interpreted by a computer or an electronic system. Brain Computer...
Scholarships are given to students who are studied in university by public institutions and organizations such as Yüksek Öğrenim Kredi ve Yurtlar Kurumu by taking different criterions into account. The students who deserve to have scholarship are detected by examining information in the forms that are given to student to detect the person who needs the scholarship. This process is causing time loose...
Clustering is an important tool for analyzing gene expression data. Many clustering algorithms have been proposed for the analysis of gene expression data. In this article we have clustered real life gene expression data via K-Means which is one of clustering algorithms. Also, we have proposed a new method determining the initial cluster centers for K-means. We have compared results of our method...
Recommender systems help people to find items of interest by utilizing past user interactions (such as product views, ratings, and purchases). Today many e-commerce sites and large scale web applications use recommender systems and provide their customers personalized products. In this work we will share our recent experience in developing a job recommender system based on collaborative filtering...
In parallel with the rapid development of prospective systems in the last 20 years, many methods have been applied to this field. One of them is the deep learning networks that have attracted the interest of researchers in recent years. The DBN (Deep Belief Network), which trains one layer at a time greedily, uses unsupervised learning for each layer and is composed of RBMs (Restricted Boltzman Machine),...
Data analysis has become important with the ever-increasing and diversified data from the past to the present. Supervised machine learning algorithms have been one of the preferred methods with time because of the ability to produce fast and effective solutions in data analysis. One of the most important problems of supervised machine learning algorithms is the inability to achieve the ideal predicted...
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