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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...
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...
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...
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...
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...
In this paper, a novel adaptive noise canceller (ANC) based on the quaternion valued least mean square algorithm (QLMS) is designed in order to remove electrooculography (EOG) artifacts from electroencephalography (EEG) recordings. The measurement real-valued EOG and EEG signals (FP1, FP2, AF3 and AF4) are first modeled as four-dimensional processes in the quaternion domain. The EOG artifacts are...
Modelling is a crucial step for analyzing the data. Graph is an important modelling technique for some areas especially if the data has some kind of relation between each other like complex networks. There are plenty of study in complex network area which uses graphs as a modelling tool. Collaboration networks are a kind of complex evolving networks. Also community detection and evaluation is an important...
It is observed that the number of applications in different areas by using Machine Learning (ML) methods are increased. A variety of tools are also used for these applications. The used tools are developed using various methods. Various software libraries, programming languages and algorithms are used for development of the tools. The used tools can be a variety of different features. So it is difficult...
Interpretting color fundus images by doctors is enhanced by computer-aided detection (CAD). Microaneurysm (MA) detection in CAD is an important step to identify the retinal diseases automatically. However, MA detection is still a challenging task due to the variations in retinal images. In this paper, a new MA extraction method is developed. The proposed method contains two steps: 1.) image pre-processing...
With the internet of objects, the number of devices with internet connection is increasing day by day. This leads to a very high amount of data circulating on the internet. It is one of the most common problems that can be distinguished from normal and abnormal traffic by analyzing in high data amount. In this study, an analysis was carried out by using machine learning approaches to determine whether...
Pancreatic cancer is the fourth most common cause of cancer-related deaths across the globe and it is one of the most difficult cancer types to recognize early. Early diagnosis of pancreatic cancer is crucial to increase survival for patients. In this study, it was tried to be estimated that persons were pancreatic cancer or healthy using microarray gene expression profile. In accordance with this...
In this study, a new approach for estimation of Obstructive Sleep Apnea Syndrome (OSAS) was proposed. OSAS is a sleep disorder that affects the life comfortability in human life. Diagnosis of OSAS is usually done by expensive devices and specialist physicians. Since OSAS is serious, it should be diagnosed and treated early. In this study, a new feature extraction method is proposed for OSAS diagnosis...
Nowadays, the using of smartphones has expeditiously increased. The developing of information security applications for smartphones becomes important because of the fact that a clear majority of individuals informations accupy in smartphones. For this reason the developing of ligeweight information security applications becomes vitally important. In this study, a data-hiding schema that runs speedly...
Artificial neural networks (ANN) is increasingly being used to solve engineering problems. Successful welding operations are at the top of engineering problems. The friction stir welding method, which is used to combine the materials under the melting temperature, is also a method that can be analyzed with ANN. In this study, Al-7075 workpieces (with and without aging treatment) were joined by the...
Data processing performed by adder circuits need to achieve low delay and low power at the same time while maintaining low cost, due to the steep growth in mobile computation devices. Recently proposed 1-bit full adder design that hybridizes transmission gates (TG) and standard CMOS offers significant PDP improvement. Two full adder implementations are presented in this paper which further optimizes...
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