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Articles 661 - 690 of 1200
Full-Text Articles in Computer Engineering
Whole Body Motion Control Of Humanoid Robots Using Bilateral Control, Emre Sariyildiz, Hakan Temeltaş
Whole Body Motion Control Of Humanoid Robots Using Bilateral Control, Emre Sariyildiz, Hakan Temeltaş
Turkish Journal of Electrical Engineering and Computer Sciences
This paper deals with the whole body motion control problem of humanoid robots by using automatic and bilateral control methods. Advanced motion controllers are proposed so that human daily life activities, such as walking on an uneven terrain and contacting an unknown object, can be performed. It is shown that the uncertainty of environmental impedance variation is one of the main challenging issues in the design of the automatic control systems, i.e. a humanoid robot may easily lose its stability when it contacts an unstructured environment. A novel bilateral control method is proposed for humanoid robots so as to overcome …
Ionolab-Ray: A Wave Propagation Algorithm For Anisotropic And Inhomogeneous Ionosphere, Esra Erdem, Feza Arikan
Ionolab-Ray: A Wave Propagation Algorithm For Anisotropic And Inhomogeneous Ionosphere, Esra Erdem, Feza Arikan
Turkish Journal of Electrical Engineering and Computer Sciences
A high-frequency (HF) radio wave propagation model based on ray tracing for anisotropic, inhomogeneous, and time-varying ionosphere is developed to form the basis for a user-friendly modular algorithm. The algorithm IONOLAB-RAY applies the principles of ray tracing through the spherical 3D grid model of the ionosphere. The physical parameters of the ionosphere in each voxel are obtained from the ionosphere model IRI-Plas-G. The refractive index of each voxel is calculated with the Appleton-Hartree formula, which includes electron cyclotron frequency, collision frequency, and anisotropicity due to the geomagnetic field. The developed propagation algorithm allows the input of total electron content (TEC) …
Optimal Design Of Voltage Regulators For Static Excitation System In Synchronous Generator To Reduce Shaft-Induced Voltage, Mahmoud Samieimoghaddam, Mohammad Tavakoli Bina, Masoud Aliakbar Golkar, Shokrollah Shokrikojoori
Optimal Design Of Voltage Regulators For Static Excitation System In Synchronous Generator To Reduce Shaft-Induced Voltage, Mahmoud Samieimoghaddam, Mohammad Tavakoli Bina, Masoud Aliakbar Golkar, Shokrollah Shokrikojoori
Turkish Journal of Electrical Engineering and Computer Sciences
Long-term shaft-induced voltage could harm synchronous generators, specifically their bearings and insulators. This paper investigates the reduction of shaft-induced voltage using both a passive filter and an active voltage regulator. An RLC circuit is used as a passive filter, and a DC-DC buck converter is used as an active voltage regulator. As a result, they remove high-frequency spikes, leading to the reduction of shaft-induced voltage. Buck converters show minimum-phase behavior and can pose as stable-casual converters. A 5 kW synchronous generator was considered for the laboratory setup in which a static excitation system using a 6-pulse thyristor rectifier supplies the …
Image Compression Algorithm With Reduced Blocking Artifacts, Kritika Mittal, Kulbir Singh, Neeru Jindal
Image Compression Algorithm With Reduced Blocking Artifacts, Kritika Mittal, Kulbir Singh, Neeru Jindal
Turkish Journal of Electrical Engineering and Computer Sciences
The modern communication era has led to a proliferation of digital media contents. However, the large volume of data poses difficulties because of increased bandwidth and limited storage space. Hence, this has led to the need for compression techniques. Image compression with block processing allows the coder to adapt to local image statistics and exploit the correlation present among neighboring image pixels. The main degradation factor of block transform coding is blocking artifacts (visually undesirable patterns) at high compression ratios. The degradation occurs because of coarse quantization of the transform coefficients and the independent processing of the blocks. In this …
Intrusion Detection In Network Flows Based On An Optimized Clustering Criterion, Jaber Karimpour, Shahriar Lotfi, Aliakbar Tajari Siahmarzkooh
Intrusion Detection In Network Flows Based On An Optimized Clustering Criterion, Jaber Karimpour, Shahriar Lotfi, Aliakbar Tajari Siahmarzkooh
Turkish Journal of Electrical Engineering and Computer Sciences
Graph-based intrusion detection approaches consider the network as a graph and detect anomalies based on graph metrics. However, most of these approaches succumb to the cluster-based behavior of the anomalies. To resolve this problem in our study, we use flow and graph-clustering concepts to create a data set first. A new criterion related to the average weight of clusters is then defined and a model is proposed to detect attacks based on the above-mentioned criterion. Finally, the model is evaluated using a DARPA data set. Results show that the proposed approach detects the attacks with high accuracy relative to methods …
A Hybrid Of Sliding Mode Control And Fuzzy Logic Control Using A Fuzzy Supervisory Switched System For Dc Motor Speed Control, Husain Ahmed, Abha Rajoriya
A Hybrid Of Sliding Mode Control And Fuzzy Logic Control Using A Fuzzy Supervisory Switched System For Dc Motor Speed Control, Husain Ahmed, Abha Rajoriya
Turkish Journal of Electrical Engineering and Computer Sciences
In many applications of DC motor speed control systems, PID controllers are mostly used. Such control schemes do not show good performance when input and load torque disturbances are applied. This paper shows that sliding mode (SM) can give better control due to its robust property but it has an unwanted chattering problem associated with it, which is harmful to the plant. To limit this problem a hybrid controller is presented in which a fuzzy controller is combined with the SM controller by a fuzzy supervisory system in such a way that the SM controller works in transient state and …
Techno-Economic Analysis Using Different Types Of Hybrid Energy Generation For Desert Safari Camps In Uae, Ali Aziz
Turkish Journal of Electrical Engineering and Computer Sciences
Remote areas in UAE are still fully powered by diesel generators. The rapid rise in the prices of petroleum products and environmental concerns have led to demand for hybrid renewable energy generators. Advances in renewable energy technologies impart further impetus to techno-economic power production. Protecting the landscape and demography of the desert by optimizing the power supply cost via an efficient hybrid power system is the key issue. Simulation results on the cross utilization of a photovoltaic/wind/battery/fuel-cell hybrid-energy source to power the off-grid living space are presented. Simultaneous exploitation of different renewable energy sources to power off-grid applications together with …
A Steganographic Approach To Hide Secret Data In Digital Audio Based On Xor Operands Triplet Property With High Embedding Rate And Good Quality Audio, Krishna Bhowal, Debasree Chanda Sarkar, Sushanta Biswas, Partha Pratim Sarkar
A Steganographic Approach To Hide Secret Data In Digital Audio Based On Xor Operands Triplet Property With High Embedding Rate And Good Quality Audio, Krishna Bhowal, Debasree Chanda Sarkar, Sushanta Biswas, Partha Pratim Sarkar
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, a unique and transparent data hiding algorithm based on XOR operands triplet (XOT) is proposed. In XOT, an XOR operation applied on any two members of a triplet provides the third member of the same triplet. Taking advantage of the low computational complexity and fascinating properties of the XOR operator, it is possible to embed 4-ary secret digits with negligible changes in the host digital audio. The proposed scheme has been designed to ensure that a minimum number of bit alterations happen in the host digital audio during the data hiding process, which also increases the security …
Implementation Of Energy Management And Demand Side Management Of A Solar Microgrid Using A Hybrid Platform, Leo Raju, Milton Sakaya, Senthilkumaran Mahadevan
Implementation Of Energy Management And Demand Side Management Of A Solar Microgrid Using A Hybrid Platform, Leo Raju, Milton Sakaya, Senthilkumaran Mahadevan
Turkish Journal of Electrical Engineering and Computer Sciences
This paper presents the implementation of the advanced distributed energy management and demand side management of a solar microgrid by a multiagent system (MAS) coordination approach. The proposed approach is built upon a hybrid platform in which a solar microgrid, modelled in MATLAB/Simulink, is controlled by a MAS implemented in Java Agent Development Framework (JADE), bringing the MAS closer to the real-time application. Novel control strategies are designed to implement all the smart grid features in the microgrid. The Simulink model is controlled by strategic action of agents in JADE, a multithreaded computing platform, through a middleware, multiagent control using …
Android Malware Classification Based On Anfis With Fuzzy C-Means Clustering Using Significant Application Permissions, Altyeb Altaher, Omar Barukab
Android Malware Classification Based On Anfis With Fuzzy C-Means Clustering Using Significant Application Permissions, Altyeb Altaher, Omar Barukab
Turkish Journal of Electrical Engineering and Computer Sciences
Mobile phones have become an essential part of our lives because we depend on them to perform many tasks, and they contain personal and important information. The continuous growth in the number of Android mobile applications resulted in an increase in the number of malware applications, which are real threats and can cause great losses. There is an urgent need for efficient and effective Android malware detection techniques. In this paper, we present an adaptive neuro-fuzzy inference system with fuzzy c-means clustering (FCM-ANFIS) for Android malware classification. The proposed approach utilizes the FCM clustering method to determine the optimum number …
A Neuro-Fuzzy Controller For Grid-Connected Heavy-Duty Gas Turbine Power Plants, Mohamed Iqbal Mohamed Mustafa, Joseph Xavier Rayappan, Kanakaraj Jagannathan
A Neuro-Fuzzy Controller For Grid-Connected Heavy-Duty Gas Turbine Power Plants, Mohamed Iqbal Mohamed Mustafa, Joseph Xavier Rayappan, Kanakaraj Jagannathan
Turkish Journal of Electrical Engineering and Computer Sciences
Frequent load fluctuation and set-point variation may affect the stability of grid-connected heavy-duty gas turbine power plants. To overcome such problems, a novel neuro-fuzzy controller is proposed in this paper for single-shaft heavy-duty gas turbines ranging from 18.2 MW to 106.7 MW. A neuro-fuzzy controller was developed using a hybrid learning algorithm and the effectiveness of the controller for all heavy-duty gas turbine plants (5, 6, 7, and 9 series) is demonstrated against load disturbance and set-point variation in a grid-connected environment. Various time domain specifications and performance index criteria of the neuro-fuzzy controller are compared with that of a …
Edge Distance Graph Kernel And Its Application To Small Molecule Classification, Mehmet Tan
Edge Distance Graph Kernel And Its Application To Small Molecule Classification, Mehmet Tan
Turkish Journal of Electrical Engineering and Computer Sciences
Graph classification is an important problem in graph mining with various applications in different fields. Kernel methods have been successfully applied to this problem, recently producing promising results. A graph kernel that mostly specifies classification performance has to be defined in order to apply kernel methods to a graph classification problem. Although there are various previously proposed graph kernels, the problem is still worth investigating, as the available kernels are far from perfect. In this paper, we propose a new graph kernel based on a recently proposed concept called edge distance-k graphs. These new graphs are derived from the original …
Thermomechanical Mems Membranes For Fiber Optic Temperature Sensing, Onur Ferhanoğlu
Thermomechanical Mems Membranes For Fiber Optic Temperature Sensing, Onur Ferhanoğlu
Turkish Journal of Electrical Engineering and Computer Sciences
In this study, the design, fabrication, and characterization results of square and circular cross-sectioned, bimaterial microelectromechanical system (MEMS) membranes are presented. The MEMS structures, having width of 250 $\mu $m to 1.5 mm and 1-4 mm$^{2}$ die area, were designed towards integration on a single-mode fiber tip for temperature-sensing. Embedded diffraction grating underneath each membrane allows for interferometric detection of thermomechanical response through backside laser illumination. The displacement of MEMS membranes was monitored under direct heating, revealing 50--1800 nm/$^{\circ}$C thermomechanical sensitivity range. Furthermore, atomic force microscopy-based stiffness measurement on the MEMS membranes revealed a spring constant within 2--30 N/m range. …
Safety-Critical Wireless Sensor Networks Under A Polyphase Spreading Sequences Scenario, Poonam Goyal, Brahmjit Singh
Safety-Critical Wireless Sensor Networks Under A Polyphase Spreading Sequences Scenario, Poonam Goyal, Brahmjit Singh
Turkish Journal of Electrical Engineering and Computer Sciences
Reliable communication is a vital issue for safety- and mission-critical wireless sensor network environments such as industrial monitoring, medical care, and battlefield surveillance. These networks require highly accurate and delay-intolerant wireless communications. Under such critical conditions, the chip sequences used in these networks become vulnerable because of channel impairments and other interferences, thereby significantly decreasing overall system performance. In this paper, polyphase sequences are employed at the physical layer of IEEE Standard 802.15.4 to enhance the communication reliability of wireless sensor networks. Through an extensive simulation, it is found that upon applying polyphase sequences, the chip errors are reduced to …
Application Of Reinforcement Learning For Active Noise Control, Seyed Amir Hoseini Sabzevari, Majid Moavenian
Application Of Reinforcement Learning For Active Noise Control, Seyed Amir Hoseini Sabzevari, Majid Moavenian
Turkish Journal of Electrical Engineering and Computer Sciences
Active noise control (ANC) systems are used to reduce the sound noise level by generating antinoise signals. M-Estimators are widely employed in ANC systems for updating the adaptive FIR filter taps used as the system controller. Observing the state-of-the-art M-estimators design shows that there is a need for further improvements. In this paper, a feedback ANC based on the reinforcement learning (RL) method is proposed. The sensitivity of the constant parameter in the RL method is checked. The effectiveness of the proposed method is proven by comparing the results with previous feedforward studies through computer simulations.
A Switched Current Controller With Commutation Delay Compensation For The Reduction Of Commutation Torque Ripple In Bldcm Drives, Türker Türker, Ihsan Obayes Khudhair Khudhair
A Switched Current Controller With Commutation Delay Compensation For The Reduction Of Commutation Torque Ripple In Bldcm Drives, Türker Türker, Ihsan Obayes Khudhair Khudhair
Turkish Journal of Electrical Engineering and Computer Sciences
The mathematical model of the equivalent circuit of a brushless DC motor switches during the operation due to commutation. This issue causes a sudden ripple in the output torque, which is called commutation torque ripple. Brushless DC motor drives suffer from commutation torque ripple, affecting the performance of the motor in practical applications. A discrete-time switched controller is proposed to reduce the commutation torque ripple in brushless DC motor drives. The proposed controller is a combination of two distinct controllers designed for two different working regions of brushless DC motors. In addition, the commutation delay is also considered in the …
Time-Time Matrix Z-Score Vector-Based Fault Analysis Method For Series-Compensated Transmission Lines, Oveis Asgari Gashteroodkhani, Behrooz Vahidi, Aydin Zaboli
Time-Time Matrix Z-Score Vector-Based Fault Analysis Method For Series-Compensated Transmission Lines, Oveis Asgari Gashteroodkhani, Behrooz Vahidi, Aydin Zaboli
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, a novel protection method based on time-time (TT) transform for thyristor-controlled series-compensated lines is presented. First, current signals at both sides of the sending and receiving ends are retrieved and processed through time-time domain transform (TT-transform), and a TT-matrix is produced. A proposed index is then compared with a defined threshold (THD) in order to determine fault occurrence and faulted phases. Within less than three cycles of the fault inception, a tripping signal can be sent that is acceptable for the speed of digital relays. After faulted phase selection, considering the TT-matrix of the faulted phases of …
Study On The Recognition Method Of Airport Perimeter Intrusion Incidents Based On Laser Detection Technology, Huazhu Wu, Zengcai Wang, Changyou Wang
Study On The Recognition Method Of Airport Perimeter Intrusion Incidents Based On Laser Detection Technology, Huazhu Wu, Zengcai Wang, Changyou Wang
Turkish Journal of Electrical Engineering and Computer Sciences
Currently, detection technology is very important for airport perimeter security. When the perimeter is invaded or destroyed, the perimeter security alarm system can promptly alert personnel. In this paper, based on analysis and comparison of several detection technologies commonly used in airport perimeter security and according to the characteristics of airport perimeters and laser detection, an airport perimeter security alarm system based on laser detection is proposed. It analyzes factors that affect the performance of a laser alarm system, divides intrusions into six categories, estimates the different alarm thresholds by testing, and judges the intrusion category according to the number …
Extraction Of Geometric And Prosodic Features From Human-Gait-Speech Data For Behavioral Pattern Detection: Part I, Raj Kumar Patra, Tilendra Shishir Sinha, Ravi Prakash Dubey
Extraction Of Geometric And Prosodic Features From Human-Gait-Speech Data For Behavioral Pattern Detection: Part I, Raj Kumar Patra, Tilendra Shishir Sinha, Ravi Prakash Dubey
Turkish Journal of Electrical Engineering and Computer Sciences
In this work, we extract prosodic features from subjects while they are talking while walking using human-gait-speech data. These human-gait-speech data are separated into 1D data (human-speech) and 2D data (human-gait) using the adaptive-lifting scheme of wavelet transform. We carry out extraction of prosodic features from human-speech data, such as speech duration, pitch, speaking rate, and speech momentum, using five different natural languages (Hindi, Bengali, Oriya, Chhattisgarhi, and English) for the detection of behavioral patterns. These behavioral patterns form real-valued measured parameters, stored in a knowledge-based model called the human-gait-speech model. Extraction of geometrical features from human-gait data, such as …
A New Approach For Minimizing Torque Ripple In A Bldc Motor Drive With A Front End Ido Dc-Dc Converter, Ramya Amirthalingam, Balaji Mahadevan
A New Approach For Minimizing Torque Ripple In A Bldc Motor Drive With A Front End Ido Dc-Dc Converter, Ramya Amirthalingam, Balaji Mahadevan
Turkish Journal of Electrical Engineering and Computer Sciences
This paper proposes a front end integrated dual output (IDO) dc-dc converter for commutation torque ripple reduction in a permanent magnet brushless DC (BLDC) motor drive. The current ripple owed to the inductance and resistance of the motor during commutation instant results in torque ripple. In this work the dc link voltage of the converter is varied at commutation instants to minimize current ripple and hence torque ripple. The wider output range and faster response of the IDO converter make it a suitable choice as a front end converter for minimizing torque ripple. Simulation results validate the proposed converter for …
A Spectral Element Method For The Solution Of Magnetostatic Fields, Ibrahim Mahariq, Atakan Erciyas
A Spectral Element Method For The Solution Of Magnetostatic Fields, Ibrahim Mahariq, Atakan Erciyas
Turkish Journal of Electrical Engineering and Computer Sciences
Recently, we have seen good progress in our capability to simulate complex electromagnetic systems. However, still there exist many challenges that have to be tackled in order to push limits restricting the field of computational electromagnetics upward. One of these challenges is the limitations in the available computational resources. Over several decades, the traditional computational methods, such as finite difference, finite element, and finite volume methods, have been extensively applied in the field of electromagnetics. On the other hand, the spectral element method (SEM) has been recently utilized in some branches of electromagnetics as waveguides and photonic structures for the …
Temporal Preconditioners For Marching-On-In-Time-Based Time Domain Integral Equation Solvers, Hüseyi̇n Arda Ülkü
Temporal Preconditioners For Marching-On-In-Time-Based Time Domain Integral Equation Solvers, Hüseyi̇n Arda Ülkü
Turkish Journal of Electrical Engineering and Computer Sciences
Temporal preconditioners to stabilize the marching-on-in-time (MOT)-based time domain integral equation (TDIE) solvers are proposed. Exponentially decaying functions are used as temporal preconditioners and the proposed scheme is applied to analyze scattering from perfect electrically conducting objects using the second-order formulation. The effectiveness of the proposed scheme is demonstrated via numerical examples. It is shown that the temporal preconditioners stabilize the MOT system and the solution. In addition, the initial condition problem of TDIEs is investigated by extending the second-order formulation of the time domain electric field integral equation to the time domain magnetic and combined field integral equations.
Analytical Modeling Of A Coaxial Cylindrical Probe Capacitive Sensor Based On Matlab/Simulink For Conductive Liquids Level Measurements, Majid Toghyani Rizi, Mohammad Hadi Shahrokh Abadi
Analytical Modeling Of A Coaxial Cylindrical Probe Capacitive Sensor Based On Matlab/Simulink For Conductive Liquids Level Measurements, Majid Toghyani Rizi, Mohammad Hadi Shahrokh Abadi
Turkish Journal of Electrical Engineering and Computer Sciences
Measurement of liquid level is an important process variable in the operation of many process industries such as water treatment plants. There are different types of level sensors to measure this parameter, categorized into ultrasonic, capacitive, optical, microwave, magnetostrictive, resistive chain, magnetoresistive, hydrostatic pressure, air bubbler, gamma ray, etc. In this paper, a cylindrical probe capacitive sensor for measuring the level of conductive liquids has been modeled based on a step-by-step mathematical procedure, using MATLAB/Simulink. The steps take the relation between the different capacitances in the model with the height of the conductive liquid into account. The results show a …
Energy And Area Spectral Efficiency Trade-Off For Mc-Cdma With Carrier Frequency Offset, Junaid Ahmed, Moazzam Islam Tiwana, Omer Ahmed, Sarmad Sohaib
Energy And Area Spectral Efficiency Trade-Off For Mc-Cdma With Carrier Frequency Offset, Junaid Ahmed, Moazzam Islam Tiwana, Omer Ahmed, Sarmad Sohaib
Turkish Journal of Electrical Engineering and Computer Sciences
Intercell interference is a major factor that limits the capacity of cellular wireless communication systems. This paper proposes an accurate statistical model that caters to interference and noise to determine the ergodic capacity. A new expression for ergodic capacity is derived that enables us to calculate area spectral efficiency (ASE) and energy efficiency (EE). This expression has been used to calculate and compare ASE and EE for low and high traffic scenarios with various signal-to-noise ratios and intercell distances.
Fuzzy Support Vector Machine Based On Hyperbolas Optimized By The Quantum-Inspired Gravitational Search Algorithm, Feng Ni, Yuzhu He, Fei Jiang
Fuzzy Support Vector Machine Based On Hyperbolas Optimized By The Quantum-Inspired Gravitational Search Algorithm, Feng Ni, Yuzhu He, Fei Jiang
Turkish Journal of Electrical Engineering and Computer Sciences
Fuzzy support vector machines (FSVMs) are known for their excellent antinoise performance, but there is no general rule when the fuzzy membership function (FMF) is set up. A novel FSVM based on hyperbolas optimized by the quantum-inspired gravitational search algorithm (QGSH-FSVM) is proposed to handle this question. In the proposed QGSH-FSVM, the FMF is defined by two disparate hyperbolas, whose eccentricities are optimized by the quantum-inspired gravitational search algorithm. A variable called diversity, revealing the percentage of a sample in different classes, is proposed to distinguish outliers or noises from valid samples. Experimental results confirm that the QGSH-FSVM is able …
A New Segmentation Method Of Cerebral Mri Images Based On The Fuzzy C-Means Algorithm, Mohamed Zaki Abderrezak, Mouatez Billah Chibane, Karim Mansour
A New Segmentation Method Of Cerebral Mri Images Based On The Fuzzy C-Means Algorithm, Mohamed Zaki Abderrezak, Mouatez Billah Chibane, Karim Mansour
Turkish Journal of Electrical Engineering and Computer Sciences
The aim of this work is to present a new method for cerebral MRI image segmentation based on modification of the fuzzy c-means (FCM) algorithm. We used local and nonlocal information distance in the initial function of the robust FCM model. The obtained results of the classification of MRI images showed the effectiveness of the suggested model. Calculation of the similarity index confirms that our method is well adapted to MRI images even in the presence of noise.
Bandwidth Allocation For Multiple Iptv Users Sharing The Same Link: A Case Study Of Telecom Of Kosovo, Arianit Maraj, Adrian Shehu, Dardan Maraj, Ruzhdi Sefa
Bandwidth Allocation For Multiple Iptv Users Sharing The Same Link: A Case Study Of Telecom Of Kosovo, Arianit Maraj, Adrian Shehu, Dardan Maraj, Ruzhdi Sefa
Turkish Journal of Electrical Engineering and Computer Sciences
Almost all operators today are facing constant requests for multiple video services in a single household. In these situations, video services have to compete for finite network bandwidth and other equipment resources. Each of them requires different bandwidth capacities. This dynamic behavior can jeopardize both quality of service and quality of experience. One should keep in mind that some video channels require more bandwidth than others. Telecom of Kosovo (TK) is facing the same issues. The encoders at TK are not scalable and they treat all video streams equally, without taking into consideration the fact that some video streams require …
Fpga-Based Soc For Hardware Implementation Of A Local Histogram-Based Video Shot Detector, Abdessalem Ben Abdelali, Mohamed Nidhal Krifa, Abdellatif Mtibaa
Fpga-Based Soc For Hardware Implementation Of A Local Histogram-Based Video Shot Detector, Abdessalem Ben Abdelali, Mohamed Nidhal Krifa, Abdellatif Mtibaa
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, we present a video application example and its implementation in a reconfigurable system-on-chip (SOC) platform. The proposed platform employs the benefits of field programmable gate array (FPGA) technology. A prototype based on a Xilinx Virtex-5 FPGA is developed. The application includes a video shot boundary detection module based on the local histogram (LH) technique. Diverse hardware module versions corresponding to different quantization levels and architectural solutions for an LH-based shot detection system are presented. The developed modules have different hardware resource occupations and can be used in a dynamic way to allow flexible management of the target …
Effect Of Uniform And Dolph-Chebyshev Excitations On The Performance Of Circular Array Antennas, Mohan Kachalai Narasimman, Yogesh Kumar Choukiker, Srinivasa Rao Zinka, Kannadassan Dhanaraj
Effect Of Uniform And Dolph-Chebyshev Excitations On The Performance Of Circular Array Antennas, Mohan Kachalai Narasimman, Yogesh Kumar Choukiker, Srinivasa Rao Zinka, Kannadassan Dhanaraj
Turkish Journal of Electrical Engineering and Computer Sciences
This paper presents the design and simulation of microstrip circular antenna arrays and studies the effect of excitation with uniform and Dolph--Chebyshev distribution. With side lobe level of 20 dB and 8 microstrip circular patches, the circular array has been demonstrated with minimum grating lobes. The effects of patch and antenna array length on directivity, radiation patterns, and side lobe are also studied in detail. It is found that these antenna arrays are suitable for radar application.
Using The Variable Width In A Planar Inductor On Kapton For Optimizing Its Performance, Hayet Kharbouch, Azzedine Hamid, Thierry Lebey, Vincent Bley, Leon Havez, Celine Combette
Using The Variable Width In A Planar Inductor On Kapton For Optimizing Its Performance, Hayet Kharbouch, Azzedine Hamid, Thierry Lebey, Vincent Bley, Leon Havez, Celine Combette
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, we examine the design of planar inductors and consider an expansion of the conductor to reduce its resistance. An increase in the number of turns increases the proximity effect, capacitive coupling, and skin effect. The resulting effect will translate into an increase in the area occupied by the inductor and a decrease in the inductors' performances. In order to solve such difficulties, an alternative approach is to design tapered inductors. For the same electrical and geometrical characteristics, a tapered inductor occupies a larger area than a standard inductor. Our approach consists of designing a new concept regarding …