The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
One of the most important problems facing researchers in various fields such as pattern recognition, computer vision, and industrial design is the shape abstraction. A recent shape abstraction method generates an abstracted shape through the correspondences between their features from a given set of shapes. The correspondences are obtained based on the optimal solution of a well known transportation...
In this study, the contribution of the geophysics method as resistivity and beamforming approach to the archaeogeophysics were investigated. Recently, the resistivity and magnetic have been used to image the archaeological structures. In this work, the modified case of the resistivity to the beamforming was studied for imaging. It was believed that, the buried archaeological structures could be imaged...
This paper deals with the design and adaptation of the response displayed by an interactive photo frame application. The user of the system is monitored with a camera, and based on the user's facial expressions and activity levels, the system selects its response, and in time, fine-tunes it to the particular user. A user study is conducted showing that the user adaptation significantly increases the...
This paper presents a novel system for automatically updating land-cover maps by classifying multitemporal remote sensing images (i.e., satellite images acquired on the same area at different times). The proposed system assumes that a training set is not available for the image to be classified (i.e., the target domain), but it is accessible for another image (i.e., the source domain) acquired on...
In this study, signalling in railway transportation systems are considered and their working mechanism is investigated. The applications and structures of the communications systems in railway transportation industry where high speed communications are essential for safety are assessed, within the framework of the broad band and high data transmission rates of optical fibers due to their operation...
In this study, importance of optical amplifiers which are used in optical communication systems is explained and gains of EDFA, Erbium Doped Fiber Amplifier, and YDFA, Ytterbium Doped Fiber Amplifier, which are among the most commonly used optical amplifiers today, are analysed based on their performance parameters. The effects of the power of input signal, the power of pump laser, the length of doped...
Hyperspectral imaging systems provide high spectral information content by acquiring data in hundreds of narrow spectral bands. This high content of information results in a significant increase in classification accuracies for hyperspectral images with respect to optic or multispectral images. In this study, classification with empirical mode decomposition (EMD) and support vector machines (SVM),...
Spectrum is a precious resource and it has been underutilized according to the spectrum measurement campaigns. Cognitive Radio (CR) is one of the leading technologies for increasing the spectrum utilization efficiency. One of the approaches to utilize spectrum in CR networks is Dispersed Spectrum (DS) utilization method and this type of CR systems is called DS-CR systems. In this paper, Multi-Band...
We describe a new method for detecting compound structures in images by combining the statistical and structural characteristics of simple primitive objects. A graph is constructed by assigning the primitive objects to its vertices, and connecting potentially related objects using edges. Statistical information that is modeled using spectral, shape, and position data of individual objects as well...
In this work, cubic spline interpolation method is implemented on a field programmable gate array (FPGA) to be used for real time empirical mode decomposition. Different from the software implementation of the method, in the hardware implementation, a hardware architecture is designed with performance and resource usage under consideration. According to the experimental results, the hardware architecture...
Orthogonal frequency division multiplexing (OFDM) is one of the most commonly used methods in new generation communication systems since it can provide high bandwidth efficiency levels. However, the sensitivity of OFDM systems to time and frequency offsets is known. In this paper, the relation between the sampling frequency offset observed due to sampling deviations, the modulation level and the OFDM...
In this paper, a new segmentation method which is derived from distance regularized level set evolution (drlse) equations is proposed. The proposed method merges drlse equations and a signed pressure force function. Thus, a new global active contour model which is gradient and also region-based is obtained from the only gradient based drlse method. In addition, the method is also independent from...
It was recently found that neuronal networks contain some significantly recurring wiring patterns, termed “network motifs”. These are believed to be basic building blocks of neural networks and to perform important functional roles in them. Sections of spine growth and shrinkages of the neurons in the communications port is thought to be the effect of memory behavior. In this study we examined long-term...
In this work, results for blind image restoration performed on the remotely sensed images of a target are given. The images are recorded by two cameras: one visible and one infrared camera. Visible and infrared images are dominantly degraded by the atmospheric factors (turbulence and aerosol) and the defocus aberration of the optical system, respectively. Different types of curves are fitted to the...
In this work we present the design of a library which generates high-performance sparse matrix-vector multiplication code that is specialized according to the contents of a given matrix. The library targets code generation in particular for matrices of large size as used in signal processing applications, scientific computation and finite element analysis. The generated code is selected out of many...
In this study, principal component analysis (PCA), singular value decomposition (SVD) and independent component analysis (ICA), which are statistical signal processing methods for clutter reduction, are explained in ultra wideband (UWB) radars. In addition, how to use these methods in through wall imaging (TWI) and time/performance relationship on ARM Cortex A-8 processors which have floating-point...
In this study, FPGA implementation of an algorithm for reducing color differences between left and right images, stemming from 3D video capturing problems such as different physical specifications, adjustments, and view angle of cameras capturing left and right video, and different direction of motion and are presented. Such problems that cannot be resolved during 3D video capturing, should be resolved...
In this study, a hip simulator mechanism have been presented for designing and testing knee prosthesis. The main reason to design this simulator mechanism is to generate the periodic move of above knee activity by using a basic control unit and electromechanic hardware. This platform will help us to assess the design outcomes of the prosthesis for specifically above knee amputees. The mechanic basis...
In this study, parameter estimation is made for global ionospheric Total Electron Content (TEC) on both noiseless and noisy synthetic surfaces by using modified Particle Swarm Optimization (PSO). In addition, the improvements made in the PSO algorithm to obtain better results are presented. Trend functions that best regionally and globally represent the quiet and distorted ionosphere are given. For...
In this paper, an iris recognition system based on fast iris localization and phase correlation matching is proposed. Eye images are captured from a CMOS image sensor on infrared (IR) illumination condition using a digital signal processor (DSP) kit. Afterwards, fast iris localization and normalization are performed on DSP, and normalized iris images are sent to the server via ethernet interface and...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.