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In helmet mounted cueing systems (HMCS), the video displayed on miniature display is projected to pilots visor via optical components. It is necessary to convert interlaced videos coming from sources on platform to progressive ones before the other image processing steps. As far as total system latency is concerned, this process should be real-time such that it will not cause much delay. In this study,...
Clustering is a common technique, in all areas where information is obtained from the collected data. In this work, three well-known clustering algorithms namely, K-means, Spectral and DBSCAN are investigated in terms of their validity using four clustering validity indexes, Rand, Adjusted Rand, Jaccard, Silhouette. These clustering algorithms are applied on three data sets which have different characteristics...
In this paper, the performance of signal to interference and noise ratio (SINR) and distance based cell selection algorithms for wireless systems are examined considering different cells. The performance results are obtained by assuming the users are not moving within a setup includes macrocell, picocell and femtocells. The comparisons of the obtained results are shown in terms of SINR and load in...
Gathering statistical and geometrical information by processing the shape contours is the common way of feature extraction on object detection and recognition studies. Compactness is an important shape descriptor which specifies the similarity between a shape and a circle. In this study, we propose a new compactness measure based on examining the distribution of the contour moments with respect to...
Digital watermarking can be defined as embedding information into digital signals. Original signal is distorted as a result of watermarking. The goal in reversible watermaking is to reconstruct the original signal from the watermarked signal without error. In this study a new reversible watermaking algorithm based on motion compensated interpolation error is developed for digital video. The method...
In this paper, approximation methods for binary polar code construction proposed by Tal and Vardy are extended to non-binary source alphabets. Additionally, a new approximation method that enables accurate polar code construction with less usage of computational resources is proposed. Efficiency and accuracy of proposed methods are supported analytically and numerically.
The increase in the energy demand has multiplied the importance of energy transmission. The faulty power transmission lines need to be isolated quickly for a continuous energy transmission. In this study, a new method was developed for detecting faults and fault type occurred in power transmission lines. The method concerns fault signals of real transmission lines. The Wigner-Ville energy distribution...
Fall detection is an important problem for elderly people living independently and people in need of care. In this paper, a fall detection method using seismic and passive infrared (PIR) sensors is proposed. Fast Fourier transform, mel-frequency cepstrum coefficients, and discrete wavelet transform based features are extracted for classification. Seismic signals are classified into “fall” and “not...
In this study, an improvement for virtual line validation method which is developed in former study for vectorization of cadastral maps which contains null circles as nodes of parcel edges is proposed. The proposed method in this study makes virtual line validation between nodes which are edges of parcels more efficient and error proof by identifying direction and angle of lines connected to nodes...
In this paper, an entropy functional based online adaptive decision fusion framework is developed for image analysis and computer vision applications. In this framework, it is assumed that the compound algorithm consists of several sub-algorithms, each of which yields its own decision as a real number centered around zero, representing the confidence level of that particular sub-algorithm. Decision...
In this paper, we present a method for relay selection and power optimization under a cooperative transmission scenario for cognitive radio networks. While ensuring the quality of service (QoS) of primary transmissions, our aim is to improve the performance of secondary transmissions. The best relay selection and single relay selection cooperative communication methods are employed. Power optimization...
The linear canonical transform (LCT) is a powerful tool for signal processing applications and is also the generalized form of the well-known transforms such as Fourier, fractional Fourier and Fresnel transforms, and some operators such as scaling, chirp multiplication and chirp convolution. The LCT is characterized by a 2 × 2 unit-determinant matrix of parameters {a, b, c, d}. When studying linear...
By the improvement of the technology, the applications used for simplifying the daily life create an important work area day after day. In this study, an equipment control component that could be used as intelligence home application based on voice recognition was improved. By this aim, database belonging to intended control voices like turn on the lamp, close the curtain was created by pre-processing...
Breast cancer can be fatal and so it is very dangerous. Early diagnosis of breast cancer has been playing very important role on treatment of the disease. Recently, gene technology has been widely used in cancer diagnosis. A microarray is a tool for analyzing gene expression. Microarray data usually contain thousands of genes and a small number of samples. Although, most of them are irrelevant or...
In this paper, a new communication system that inherently enables the estimation of channel parameters by employing the fractional Fourier transform is proposed. The system uses chirp bases as carriers and two of these carriers are also employed as pilot signals without decreasing the capacity of the system. We make use of two important properties of the fractional Fourier transform which are related...
In this work, error probability performance of multi-antenna systems that employ space-time block coded transmission with joint transmit and receive antenna selection is examined for flat Rayleigh fading channels in the presence of feedback errors and exact closed-form error performance expression is derived. Monte Carlo simulations have validated the theoretical results derived for different numbers...
A sound content analysis is proposed to detect incident at intersections, which is suitable to implement on hardware such as FPGA. Due to confusion between the sound classes, an hierarchical classifier architecture is proposed to improve the classification performance. The proposed architecture and the feature extraction algorithm are suitable for parallel implementation.
In this study, Sick-LMS100 Lidar was used for detecting the obstacles around a mobile robot platform and finding the best heading direction. The computer and the LIDAR were communicated via Ethernet TCP/IP in order to gather position information of the objects around. The algorithm, which was developed in Visual Basic 6.0 environment, chose the optimal heading direction relative to the positions of...
In this study, a system with reinforcement learning for push-pull mesh based video streaming applications running over p2p networks is designed. In push-pull based video streaming systems, each node in the system may receive video data from more than one parent. In the proposed system, a node which started to receive insufficient video data from any parent selects a new parent with a probabilistic...
The aim of this work is to perform polyphonic music transcription in an efficient way. The problem is formulated as a linear model and the speed is improved by a randomized SVD-based method. The method is shown to compete with the best resulting approaches in literature. The conventional methods seem to fail in this era of big data whereas the proposed method efficiently handles this by use of randomized...
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