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In this study, a recessed rectangular microstrip patch antenna which is for C band, working at 4.08GHz frequency with less than −18dB SIX has been designed simulated, built and tested. Microstrip antennas have the advantage of easy and cheap production process. This study aims that achieving maximum gain while changing the design parameters as lengths of dimensions and recessed parts. As a simulation...
The aim of of this work is reduction of the in-band interference in the data obtained with the channel probe device in which the Frequency Modulated Continuous Wave (FMCW) signal is used. For this purpose, the minimum norm algorithm and Wiener filter applications were used. The results of examinations, by using more echoes of the channel profile, were compared and it was determined which method is...
The amplitudes and energetic properties of the TM-modal fields for a lossy waveguide are solved analytically in time-domain. Solving the boundary-eigenvalue for transverse Laplacian problem results a basis in the waveguide cross section. Elements of this basis depend on transverse coordinates, r, and the modal amplitudes depend on the longitudinal coordinate, z, and time, t. Exact solutions are derived...
In this study, an SVM-based system is proposed for the classification of facial expressions that are represented in 3D. Distance based features are used as a feature vector, which are determined by the distances between the different key points on the image. Study was conducted on a subset (Happy, sadness, surprise) of Bosphorus 3D Face Database. 9 different fiducial points are used to calculate a...
In hyperspectral images, for detection of vegetation, vegetation index algorithms has been developed by using reflectance / radiance data in the VNIR (Visible Near Infrared) band. In this aspect, green regions in the image can be detected. In this study, a new vegetation index algorithm is developed for SWIR (Short Wave Infrared) hyperspectral images for the purpose of vegetation detection. The effectiveness...
In this study, frequently encountered unwanted parasitic or noise signals during the transmission of electromagnetic signals are tried to be reduced by a new approach is proposed. By this method, the mentioned noise effect between the near transmitter-receiver or two reciprocal antennas, is aimed to be eliminated. In this context, to provide more healthier data transfer between the transmitter and...
In this work, the change of sound wave speed by temperature is used in order to improve accuracy of ultrasonic distance measurement. Ambient temperature directly effects air density, thus air density effects sound wave speed. However most of ultrasonic distance measurement system assumes the sound speed is a constant. With this work, lower error rated system is suggested by considering adaptively...
Since today's information and telecommunication devices are very complex, it is time consuming task to find anomalies on digital signals which happen very rarely and not easy to recreate by testing. In this work, a new anomaly detection method is proposed which includes wavelet transform, k-means clustering and morphological operators such as closing and dilation to detect anomalies on digital signals...
In this study, Layered Low Density Parity Check (LDPC) Decoder algorithm in Error Correction Codes is implemented on FPGA. Firstly, Layered LDPC Decoder algorithm is designed with floating point in MATLAB, then fixed point model is developed. By testing Floating and Fixed point designs, transmitted information that is deformed by AWGN model is corrected by decoding iteratively. After this step, fixed...
In this study, min-cost network flow formulation for multi-target tracking is adopted for the tracklet merging problem in wide area surveillance. In order to improve the continuity of the computed flows by the min-cost network flow framework, a novel tracklet association cost is proposed to be utilized in this network. The proposed cost is based on connecting two tracklets by considering the traffic...
In this work, an image processing based lane-detection approach is proposed. In the proposed approach, candidate pixels that can be used for lane markings are detected by making use of 1-bit transform as a pre-processing step. Next, feature points are extracted via Sobel filter and candidate lane markings are decided employing a correlation and Hough transform based approach. Finally, Kalman filter...
The increase in the number of devices and users online with the transition of Internet of Things (IoT), increases the amount of large data exponentially. Classification of ascending data, deletion of irrelevant data, and meaning extraction have reached vital importance in today's standards. Analysis can be done in various variations such as Classification of text on text data, analysis of spam, personality...
Sleep stage binary classification is studied using single channel EEG signals. The proposed approach is composed of two steps. In the first step, cepstrum coefficients based features are obtained from EEG signals using a filter bank approach which is tuned for sleep stage classification in terms of number of filters and their type. In the second step, these features are used with support vector machine...
Satellite technologies are used in various disciplines with the improvements in resolutions of sensors. Although spatial resolution of remotely sensed images has increased, automatic information extraction from these images could not reach the desired accuracy. Different studies have been conducted for eliminating the automatic information extraction errors and producing highly accurate spatial information...
The idea of using power line systems for energy transmission as well as for data transmission is an alternative to wireless and wired communication systems. Communicating over the existing power line is quite advantageous in terms of cost. Power line systems are subject to frequency selective fading due to intense ambient noise and multipath transmission in the transmission environment. To overcome...
Scene text localization and recognition keeps attracting an increasing interest from researchers due to its valuable advantage in extracting content from real world images and in image retrieval via text search. Nevertheless, due to the fact that the majority of the image datasets that are commonly used in this field is comprised of text in English, the related studies have mostly been limited to...
In this paper, handwritten character recognition by using characters' writing movements is investigated. To obtain the information about writing movements a 3-axis accelerometer is used. Just like most of other sensors, 3-axis accelerometers give the actual movement signal as well as noise. Before the recognition step, all of the signals need to be preprocessed and the noisy parts need to be removed...
In this research, a method which is implemented on FPGA for real-time extraction of the instantaneous frequency parameters of two simultaneous radar pulses (POP) in electronic support systems is presented. The frequency parameters of two different radars overlapped on time are extracted separately by using digital instantaneous frequency measurement (DIFM) method. Estimation performances of this method...
In recent years, fast development of video editing software has made video forgery applicable. One of the most frequently encountered forgery types in video forensics is the frame duplication forgery. Researches have proposed methods to deal with this type of forgery. The two main drawbacks of this methods reported in the literature are execution time and low detection accuracy. In this work a new...
The purpose of this study is learning and classification of video activities using video color and motion information. The video activity labeling is important for many applications such as video content modeling, indexing, and quick access to content. In this study video activity recognition is performed by deep learning. In order to learn visual features of video, Convolutional Neural Network (CNN)...
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