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The aim of this study is to detect transportation modes by using smart phone sensor data. The data are obtained from the GPS, accelerometer and gyroscope sensors of the smartphone. The collected data is divided into 10 second windows and each pattern contains 200 patterns. After the attributes have been determined, the manifold learning algorithm is applied to data set. The obtain features are classified...
Performance parameters are pretty important as well as clustering and routing algorithm in order for conditioning network lifetime in Wireless Sensor Network (WSN). The parameters like number of nodes, network area and radius of node coverage affects network lifetime directly. In this study the radius of node coverage's effect on network lifetime was checked out on various number of nodes. In the...
Digital forensics methodologies and tools have become a crucial part for investigation of cybercrimes and collecting digital evidences in a case. Digital forensics experts usually follow a common workflow and use known methodologies and tools while investigating a case. Attackers and cybercriminals also know which methodologies are used in an investigation and how digital forensics tools work. As...
In this study, a real-time system design, which can track (RGB) targets in dynamic environments with an active camera, was implemented. Object tracking applications are quite important for military, surveillance system and operational robot applications and getting more important day by day. This design allows us tracking an object using fewer cameras. The design consists of three main parts that...
The complexity of multidimensionality is one of the frequently encountered problems in the high-dimensional data space. The fact that multidimensionality in the data space increases and reaches great numbers brings about the problem that the number of non-informative ones among the features associated with the target class increases along with the dataset complexity. The fact that all features included...
Following the rapid development of technology, various electrical and electronic devices have been a great part of life day by day due to make human life easier and comfortable. However, they emit electromagnetic radiations causing the electromagnetic pollution. Depending on this role, electromagnetic pollution becomes a crucial problem for humanity, environment, and negatively effected the performance...
Beslenme; büyümek, gelişmek, sağlikli ve verimli bir şekilde hayat sürdürmek için gerekli enerjiyi ve besin öğelerinin her birini yeterli miktarda karşilayacak besin gruplarini ekonomik şekilde almak ve vücutta kullanmaktir. Bu nedenle bu çalişmamizda bireyin fiziksel, fizyolojik ve sosyalojik özellikleri üzerine, günlük enerji ihtiyaçlarini karşilayacak şekilde ve öğün öğün programli günlük optimum...
Social network analysis has become an important issue in recent years because of the development and use of social networks widespread. Almost any kind of data can be easily obtained as valuable information about actors from these data. In this study, general information about the most used social network analysis and visualization tools are given. The author-subject network that analyzed with the...
In this study, artificial learning approach which can express high dimensional data in a lower space (autocoding) and known as “autoencoder” in the literature has been investigated in detail without using a predefined ready mathematical model. The most important feature of this method, which can be used in place of traditional feature extraction methods (HOG, SHIFT, SURF, Wavelet, etc.), is the ability...
Spiking Neural Network (SNN) are 3rd Generation Artificial Neural Networks (ANN) models. The fact that time information is processed in the form of spikes and there are multiple synapses between cells (neurons) are the most important features that distinguish SNN from previous generations. In this study, artificial learning systems which can learn by using basic logical operators such as AND, OR,...
Facial landmark is to be determined point by point of areas such as eyes, nose, mouth, eyebrows on the face. Facial recognition studies can be generally categorized into two categories, local and global. All of the faces are used in the global face recognition while the face domain is divided into subspaces in the local face recognition. In face recognition studies facial landmarks are used for facial...
Developing technological infrastructure has enabled the development of computer based biomedical systems as in many areas in the field of medicine. One of these systems are biomedical imaging systems. Many studies are being conducted for a new image processing techniques to improve the performance of this systems. Noise reduction is one of the important steps in biomedical image processing. In this...
This study, it is aimed to perform BER performance analysis in FPGA / FPAA based communication systems known as Embedded systems by using Arduino in Matlab / Simulink environment. Using the Sprott_f chaotic generator, BER performance analysis of the Chaotic On Off Keying (COOK) communication system was obtained.
In this work, it is aimed to control the output of Buck Converter which steps down a DC voltage level. Discrete Time PI Algorithm is chosen as control algorithm. The controller parameters of Kp and Ki is calculated by means of the optimization process to increase the efficiency of power transmission of Buck Converter instead of classical methods like Pole Placement Method. It is chosen Shuffled Frog...
Fixed window sized methods have usually poor performance compared to variable window size methods due to the noise and context of the scene. In this work, a new variable window size method is proposed for the cost aggregation step of stereo matching. The main idea is to find the depth change regions and match them correctly. Based on the observations, it was seen that the depth changes occurred around...
In this study, EEG data recorded during mental arithmetic operations and silent reading were analyzed by discrete wavelet transform and feature vectors were obtained. The obtained feature vectors are classified by Support Vector Machines (SVM). Results are given for 26 channels, all recorded channels, and for 10 most effective channels. Correlation based feature selection based algorithm is used for...
Recent statistics show that more than 10 million people in the world suffer amputation. Most of these people also have depression because of losing their hand, arm and leg movements. With current technology it is possible to give these people hands, arms and legs. Our aim is to give these people a chance to live. In this study we have designed a robotic hand in order to grasp objects. Grid based feature...
This study focuses on the Buck Converter which is one of the Power Electronic topologies. The output of converter is tried to keep under control. The control is implemented via discrete time PI algorithm. In order to maintain efficiency of control process at high level, the controller parameters of Kp and Ki are optimized with the help of Particle Swarm Optimization (PSO) which is an iterative algorithm...
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