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Articles 9631 - 9660 of 25630

Full-Text Articles in Computer Engineering

A Low Dropout Voltage Regulator With A Transient Voltage Spikes Reducer And Improved Figure Of Merit, Guru Prasad, Kumara Shama Jan 2020

A Low Dropout Voltage Regulator With A Transient Voltage Spikes Reducer And Improved Figure Of Merit, Guru Prasad, Kumara Shama

Turkish Journal of Electrical Engineering and Computer Sciences

An area efficient output capacitor-free low dropout [LDO] voltage regulator with an improved figure of merit is presented in this paper. The proposed LDO regulator consists of a novel, dynamically biased error amplifier that reduces overshoot and undershoot voltage spikes arising from abrupt load changes. Source bulk modulation is employed to enhance the current driving capability of the pass transistor. An adaptive biasing scheme is also used along with dynamic biasing to improve the current efficiency of the system. The on-chip capacitor required for proper working of the LDO regulator is only 35 pF. The proposed LDO regulator is designed …


Pulse Width Modulation Control Of Fifteen-Switch Inverter For Four Ac Loads, Gaurav Goyal, Mohan Aware Jan 2020

Pulse Width Modulation Control Of Fifteen-Switch Inverter For Four Ac Loads, Gaurav Goyal, Mohan Aware

Turkish Journal of Electrical Engineering and Computer Sciences

In many studies in the literature, various topologies with reduced switch count are proposed. With the use of these topologies, a lower number of semiconductor switches are required to produce a desired set of voltage. This in turn reduces the size and cost of the inverter. This paper proposes a new reduced switch count topology named "fifteen-switch inverter (FSI)" which is experimentally verified. The FSI has five switches in one leg and have three legs for three phases. It is capable of controlling four three-phase ac loads. In this proposed inverter topology, fifteen switches are used against the twenty four …


A Priority-Based Queuing Model Approach Using Destination Parameters Forreal-Time Applications On Ipv6 Networks, Sadetti̇n Demi̇r, İbrahi̇m Özçeli̇k Jan 2020

A Priority-Based Queuing Model Approach Using Destination Parameters Forreal-Time Applications On Ipv6 Networks, Sadetti̇n Demi̇r, İbrahi̇m Özçeli̇k

Turkish Journal of Electrical Engineering and Computer Sciences

In the early days of the Internet architecture, the most important aim is to transmit data over packet switched networks. The traditional Internet architecture used in these networks lacks quality of service. However, today, as realtime applications increase, it is needed. There are approaches to improving the quality of service using the flow label field in the Internet Protocol version 6 header. In this study, a novel algorithm that uses destination network parameters to reduce queuing and end-to-end delay is created. A round-robin-based time-aware priority queue new model is used within this algorithm. Data packets using this proposed queue are …


Coordinated Charging Of Electric Vehicles Including Customer Options For Slow Orfast Charging, Swapna Ganapaneni, Srinivasa Varma Pinni Jan 2020

Coordinated Charging Of Electric Vehicles Including Customer Options For Slow Orfast Charging, Swapna Ganapaneni, Srinivasa Varma Pinni

Turkish Journal of Electrical Engineering and Computer Sciences

Transportation system electrification in the world decreases the gasoline consumption that leads to increase in usage of number of plug in electric vehicles (PEVs). PEV is a bidirectional resource which, while playing the role of a resource, poses challenges in its management. These vehicles are to be charged at a residential standard outlet or in a corporate car charging station. This paper mainly aims to maximize the benefits of a customer who comes to a charging station for charging their vehicle. An incentive-based cost mechanism is introduced to optimally schedule the vehicles; this mechanism minimizes the overall charging cost, considers …


Measurement Of Sound Velocity In Oil Wells Based On Fast Adaptive Median Filtering, Wei Zhou, Juan Liu, Liqun Gan Jan 2020

Measurement Of Sound Velocity In Oil Wells Based On Fast Adaptive Median Filtering, Wei Zhou, Juan Liu, Liqun Gan

Turkish Journal of Electrical Engineering and Computer Sciences

Measurement of sound velocity in oil wells has long been a challenging industrial issue due to the difficulty in obtaining clear oil pipe coupling waves in strong noise. In this paper, a novel sound velocity measurement method is developed for the dynamic liquid level of oil wells based on fast adaptive median filtering. First, to solve the noise interference problem in the reflected oil pipe coupling wave, a fast adaptive median filtering algorithm is proposed to obtain an accurate oil pipe coupling wave. Then a curve fitting method based on range discrete coefficient is developed to estimate the sound velocity …


Short Unsegmented Pcg Classification Based On Ensemble Classifier, Sinam Ajitkumar Singh, Swanirbhar Majumder Jan 2020

Short Unsegmented Pcg Classification Based On Ensemble Classifier, Sinam Ajitkumar Singh, Swanirbhar Majumder

Turkish Journal of Electrical Engineering and Computer Sciences

Diseases associated with the heart are one of the main reasons of death worldwide. Hence, early examination of the heart is important. For analysis of cardiac disorders, a study of heart sounds is a crucial and beneficial approach. Still, automated classification of heart sounds is a challenging task that mainly depends on segmentation of heart sounds and derivation of features using segmented samples. In the literature available for PCG classification provided by PhysioNet/CinC Challenge 2016, most of the research has focused on enhancing the accuracy of the classification model based on complicated segmentation processes and has failed to improve the …


Dynamic Software Rejuvenation In Web Services: A Whale Optimizationalgorithm-Based Approach, Kimia Rezaei Kalantari, Ali Ebrahimnejad, Homayun Motameni Jan 2020

Dynamic Software Rejuvenation In Web Services: A Whale Optimizationalgorithm-Based Approach, Kimia Rezaei Kalantari, Ali Ebrahimnejad, Homayun Motameni

Turkish Journal of Electrical Engineering and Computer Sciences

In this paper, we suggest a method for determining the restarting time for web services to increase availability, known as rejuvenation. We consider different parameters such as number of users, maximum service request number, response time, and throughput of a web service to determine its restarting time. Software rejuvenation is an effective technique to counteract software aging in continuously running applications such as web service-based systems. In these systems, web services are allocated based on the needs of the receivers and facilities of servers. One of the challenges while assigning web services is selecting the appropriate server to reduce faults. …


Correlation Coefficients Of Pythagorean Hesitant Fuzzy Sets And Their Applicationto Radar Lpi Performance Evaluation, Cheng Xiu Yang, Qianzhe Wang, Weidong Peng, Shaoting Pei Jan 2020

Correlation Coefficients Of Pythagorean Hesitant Fuzzy Sets And Their Applicationto Radar Lpi Performance Evaluation, Cheng Xiu Yang, Qianzhe Wang, Weidong Peng, Shaoting Pei

Turkish Journal of Electrical Engineering and Computer Sciences

Evaluating low probability of intercept (LPI) performance is the first step to design parameters and arrange radar resources. In the evaluation process it is hard to rely on the intercept receiver?s working scenarios and operating parameters. On the other hand, indicators that affect the LPI performance of radiating side are difficult to consider comprehensively. Thus, building an effective evaluation system is crucial. This research considers the natural parameters of radar extracted from a radiating scenario. Subsequently, a number of criteria are selected, including spatial, time, frequency domain, polarization status, energy status, and waveform features. A multidomain radar LPI performance evaluation …


Piezoresistive Disposable Weight Sensor With Increased Sensitivity, Kuter Erdi̇l, Tuğçe Ayraç, Ömer Gökalp Akcan, Yi̇ği̇t Dağhan Gökdel Jan 2020

Piezoresistive Disposable Weight Sensor With Increased Sensitivity, Kuter Erdi̇l, Tuğçe Ayraç, Ömer Gökalp Akcan, Yi̇ği̇t Dağhan Gökdel

Turkish Journal of Electrical Engineering and Computer Sciences

This study presents the design, simulation, implementation, and experimental characterization of a paperbased perforated disposable weight sensor system with a double piezoresistive layer. The demonstrated system is designed to achieve highly sensitive weight sensing operations with low-cost materials. For that purpose, the main fabrication material of the proposed disposable sensor is selected as a 289 $\mu$m thick Strathmore 400 series Bristol paper. Approximately 48 $\mu$m thick piezoresistive graphite paste is coated onto both sides of the paper-based cantilever beam with the aim of acquiring more sensitive weight-sensing capability. Additionally, the proposed paper-based structure has rows of closely spaced perforations at …


Development Of A Supervised Classification Method To Construct 2d Mineral Mapson Backscattered Electron Images, Mahmut Camalan, Mahmut Çavur Jan 2020

Development Of A Supervised Classification Method To Construct 2d Mineral Mapson Backscattered Electron Images, Mahmut Camalan, Mahmut Çavur

Turkish Journal of Electrical Engineering and Computer Sciences

The Mineral Liberation Analyzer (MLA) can be used to obtain mineral maps from backscattered electron (BSE) images of particles. This paper proposes an alternative methodology that includes random forest classification, a prospective machine learning algorithm, to develop mineral maps from BSE images. The results show that the overall accuracy and kappa statistic of the proposed method are 97% and 0.94, respectively, proving that random forest classification is accurate. The accuracy indicators also suggest that the proposed method may be applied to classify minerals with similar appearances under BSE imaging. Meanwhile, random forest predicts fewer middling particles with binary and ternary …


Design And Characterization Of A Compact Single-Layer Multibeam Array Antennausing An 8×8 Butler Matrix For 5g Base Station Applications, Intan Izafina Idrus, Tarik Abdul Latef, Narendra Kumar Aridas, Mohamad Sofian Abu Talip, Yoshihide Yamada, Tengku Faiz Tengku Mohmed Noor Izam, Tharek Abd. Rahman Jan 2020

Design And Characterization Of A Compact Single-Layer Multibeam Array Antennausing An 8×8 Butler Matrix For 5g Base Station Applications, Intan Izafina Idrus, Tarik Abdul Latef, Narendra Kumar Aridas, Mohamad Sofian Abu Talip, Yoshihide Yamada, Tengku Faiz Tengku Mohmed Noor Izam, Tharek Abd. Rahman

Turkish Journal of Electrical Engineering and Computer Sciences

A multibeam array antenna employing a Butler matrix is a promising solution for fifth generation (5G) base stations. Due to inaccurate phase differences between output ports in the Butler matrix, the radiation characteristics could show incorrect main beam directions. In addition, the literature has also reported the issue of high amplitude imbalance in the Butler matrix. This paper presents a single-layer multibeam array antenna fed by an 8×8 Butler matrix operating at 28 GHz for 5G base station applications' a more cost-effective solution for large-scale production. The Butler matrix consists of twelve quadrature hybrids, sixteen crossovers, and eight phase shifters. …


Fast Adaptive Reclosing In Double-Circuit Transmission Lines For Improving Powersystem Stability Based On Harmonic Analysis Scheme, Mohsen Jannati, Ali Akbar Akbari Jan 2020

Fast Adaptive Reclosing In Double-Circuit Transmission Lines For Improving Powersystem Stability Based On Harmonic Analysis Scheme, Mohsen Jannati, Ali Akbar Akbari

Turkish Journal of Electrical Engineering and Computer Sciences

An appropriate method is proposed for identifying permanent faults from transient faults in double-circuit transmission lines. This method could be used in adaptive single phase auto-reclosures in order to diagnose between permanent and transient faults, determine extinguishing time of the secondary arc, and calculate issuing time of reclosing commands during the occurrence of transient single phase to ground faults. The proposed method is based on harmonic analysis of the adjacent healthy circuit and could be an effective solution for blocking permanent disconnection of the power flow, improving stability, and maintaining the power network synchronism. In this paper, transient and permanent …


Chemical Disease Relation Extraction Task Using Genetic Algorithm With Two Novelvoting Methods For Classifier Subset Selection, Stanley Chika Onye, Nazi̇fe Di̇mi̇li̇ler, Ari̇f Akkeleş Jan 2020

Chemical Disease Relation Extraction Task Using Genetic Algorithm With Two Novelvoting Methods For Classifier Subset Selection, Stanley Chika Onye, Nazi̇fe Di̇mi̇li̇ler, Ari̇f Akkeleş

Turkish Journal of Electrical Engineering and Computer Sciences

Biomedical relation extraction is an important preliminary step for knowledge discovery in the biomedical domain. This paper proposes a multiple classifier system (MCS) for the extraction of chemical-induced disease relations. A genetic algorithm (GA) is employed to select classifier ensembles from a pool of base classifiers. Moreover, the voting method used for combining the members of each of the ensembles is also selected during evolution in the GA framework. The performances of the MCSs are determined by the algorithms used for selecting the classifiers, the diversity among the selected classifiers, and the voting method used in the classifier combination. The …


Investigation On Leakage Current, Erosion, And Hydrophobic Performance Ofhigh-Voltage Insulator Coatings Of Different Thicknesses, Suat İlhan, Zeynelabi̇di̇n Aslan Jan 2020

Investigation On Leakage Current, Erosion, And Hydrophobic Performance Ofhigh-Voltage Insulator Coatings Of Different Thicknesses, Suat İlhan, Zeynelabi̇di̇n Aslan

Turkish Journal of Electrical Engineering and Computer Sciences

Room-temperature vulcanizing (RTV) silicone rubber is used as a high-voltage insulator coating to enhance the pollution performance of conventional insulators, and the electrical performance of RTV coating depends on the several parameters. The present study shows the effects of the thickness on the leakage current, erosion, and hydrophobic performance of high-voltage insulator coating. Several different thicknesses of RTV silicone rubber were taken into consideration on porcelain substrates. Erosion and leakage current performances of the samples were evaluated by using inclined-plane tests (IPTs) based on the IEC 60587 standard. Eroded masses and fundamental and harmonic components of the leakage currents were …


Analysis Of Acoustic Sensor Placement For Pd Location In Power Transformer, Khairul Nadiah Khalid, Muhammad Nur Khairul Hafizi Rohani, Baharuddin Ismail, Muzamir Isa, Chang Yii Chai, Wan Nurul Auni Wan Muhammad Jan 2020

Analysis Of Acoustic Sensor Placement For Pd Location In Power Transformer, Khairul Nadiah Khalid, Muhammad Nur Khairul Hafizi Rohani, Baharuddin Ismail, Muzamir Isa, Chang Yii Chai, Wan Nurul Auni Wan Muhammad

Turkish Journal of Electrical Engineering and Computer Sciences

Partial discharge (PD) is an abnormal activity that occurs in high-voltage components, such as power cables, switchgear, machines, and power transformers. Such activity needs to be diagnosed for the equipment to last longer as PD could harm the insulation and potentially lead to asset destruction from time to time. Moving one or more externally mounted acoustic sensors to different locations on the transformer tank is commonly used in order to detect and locate PD signal occurring in the power transformer. However, this procedure may lead to less accuracy in PD identification. Therefore, this research paper presents an analysis of acoustic …


Combined Analytic Hierarchy Process And Binary Particle Swarm Optimization Formultiobjective Plug-In Electric Vehicles Charging Coordination With Time-Of-Usetariff, Junaid Bin Fakhrul Islam, Mir Toufikur Rahman, Hazlie Mokhlis, Mohamadariff Othman, Tengku Fiaz Tengku Mohmed Noor Izam, Hasmaini Mohamad Jan 2020

Combined Analytic Hierarchy Process And Binary Particle Swarm Optimization Formultiobjective Plug-In Electric Vehicles Charging Coordination With Time-Of-Usetariff, Junaid Bin Fakhrul Islam, Mir Toufikur Rahman, Hazlie Mokhlis, Mohamadariff Othman, Tengku Fiaz Tengku Mohmed Noor Izam, Hasmaini Mohamad

Turkish Journal of Electrical Engineering and Computer Sciences

Plug-in electric vehicles (PEVs) are gaining popularity as an alternative vehicle in the past few years. The charging activities of PEVs impose extra electrical load on residential distribution system as well as increasing operational cost. There are multiple conflicting requirements and constraints during the charging activities. Therefore, this paper presents multiobjective PEV charging coordination based on weighted sum technique to provide simultaneous benefits to the power utilities and PEV users. The optimization problem of the proposed coordination is solved using binary particle swam optimization. The objectives of the coordination are to (i) minimize daily power loss, (ii) maximize power delivery …


Deep Temporal Motion Descriptor (Dtmd) For Human Action Recognition, Nudrat Nida, Muhammad Haroon Yousaf, Aun Irtaza, Sergio A. Velastin Jan 2020

Deep Temporal Motion Descriptor (Dtmd) For Human Action Recognition, Nudrat Nida, Muhammad Haroon Yousaf, Aun Irtaza, Sergio A. Velastin

Turkish Journal of Electrical Engineering and Computer Sciences

Spatiotemporal features have significant importance in human action recognition, as they provide the actor's shape and motion characteristics specific to each action class. This paper presents a new deep spatiotemporal human action representation, the deep temporal motion descriptor (DTMD), which shares the attributes of holistic and deep learned features. To generate the DTMD descriptor, the actor?s silhouettes are gathered into single motion templates by applying motion history images. These motion templates capture the spatiotemporal movements of the actor and compactly represent the human actions using a single 2D template. Then deep convolutional neural networks are used to compute discriminative deep …


Peak Shaving And Technical Loss Minimization In Distribution Grids: Atime-Of-Use-Based Pricing Approach For Distribution Service Tariffs, Osman Bülent Tör, Mahmut Erkut Cebeci̇, Mehmet Koç, Saaed Teimourzadeh, Deren Atli, Simona Vasilica Oprea, Adela Bara Jan 2020

Peak Shaving And Technical Loss Minimization In Distribution Grids: Atime-Of-Use-Based Pricing Approach For Distribution Service Tariffs, Osman Bülent Tör, Mahmut Erkut Cebeci̇, Mehmet Koç, Saaed Teimourzadeh, Deren Atli, Simona Vasilica Oprea, Adela Bara

Turkish Journal of Electrical Engineering and Computer Sciences

Deployment of time-of-use (ToU)-based retail energy tariffs (i.e. tariff for energy consumption- not the tariff for distribution service) is a common practice to incentivize consumers to use more energy at off-peak times. Distribution service tariffs (DSTs) are usually time-independent, which results in insensitivity of load to the distribution service cost. However, DST can also be time-dependent, which is studied in this paper. This study presents a methodology to address the effect of ToU pricing (i.e. time-dependent) of DSTs on peak shaving and technical loss minimization in power distribution grids. Here, the main focus is to assess the level of consumers' …


Comparative Analysis Of Classification Techniques For Network Fault Management, Mohammed Madi, Fidaa Jarghon, Yousef Fazea, Omar Almomani, Adeeb Saaidah Jan 2020

Comparative Analysis Of Classification Techniques For Network Fault Management, Mohammed Madi, Fidaa Jarghon, Yousef Fazea, Omar Almomani, Adeeb Saaidah

Turkish Journal of Electrical Engineering and Computer Sciences

Network troubleshooting is a significant process. Many studies were conducted about it. The first step in the troubleshooting procedures is represented in collecting information. It's collected in order to identify the problems. Syslog messages which are sent by almost all network devices include a massive amount of data that concern the network problems. Based on several studies, it was found that analyzing syslog data (which) can be a guideline for network problems and their causes. The detection of network problems can become more efficient if the detected problems have been classified based on the network layers. Classifying syslog data requires …


Fault Identification Of Catenary Dropper Based On Improved Capsnet, Jianpeng Bian, Jiaxing Hao, Shuai Zhao, Weijing Hua, Shichuang Gao Jan 2020

Fault Identification Of Catenary Dropper Based On Improved Capsnet, Jianpeng Bian, Jiaxing Hao, Shuai Zhao, Weijing Hua, Shichuang Gao

Turkish Journal of Electrical Engineering and Computer Sciences

Traditional fault identification algorithms applied to catenary dropper suffer from various problems due to its small contact area. These problems include misidentification and lower recognition rate of the faulty dropper. Compared with the traditional convolutional neural network, the vector is utilized as the input of the capsule network (CapsNet) for the first time, which can well retain the feature information such as the direction and angle of the target, and is more suitable for identifying the dropper under complex background. Therefore, this paper proposes a dropper fault identification algorithm based on improved capsule network. The convolutional layer of traditional 9×9 …


A Fabrication-Oriented Remeshing Method For Auxetic Pattern Extraction, Levend Mehmet Mert, Ulaş Yaman, Yusuf Sahi̇lli̇oğlu Jan 2020

A Fabrication-Oriented Remeshing Method For Auxetic Pattern Extraction, Levend Mehmet Mert, Ulaş Yaman, Yusuf Sahi̇lli̇oğlu

Turkish Journal of Electrical Engineering and Computer Sciences

We propose a method for extracting auxetic patterns from meshes for fabrication by modifying the existing mesh primitives directly and fully automatically. This direct approach is novel in the sense that most of the fabricationoriented surface tiling methods introduce additional primitives, such as curve networks in an interactive semiautomatic framework. Our method is based on a remeshing procedure that converts a given quad mesh with arbitrary topology into our desired structure that is ready to be fabricated. The main advantages of establishing auxetic patterns on meshes are the achieved flexibility using cheap inflexible materials as well as less material usage …


Nonlinear Adaptive Semiactive Control Of A Half-Vehicle Model Via Hardware In The Loop Simulation, Mahmut Paksoy, Muzaffer Meti̇n Jan 2020

Nonlinear Adaptive Semiactive Control Of A Half-Vehicle Model Via Hardware In The Loop Simulation, Mahmut Paksoy, Muzaffer Meti̇n

Turkish Journal of Electrical Engineering and Computer Sciences

In this study, vehicle body vibrations are semiactively controlled using a nonlinear adaptive controller designed to improve passenger comfort by guaranteeing closed loop system stability under variable road disturbances with parametric uncertainty. Semiactive vibration control is implemented to the system through the magnetorheological damper. The MR damper test system is established in laboratory conditions, and the required values that are measured from the test system are used in computer simulations via the hardware in the loop simulation (HILS) method. By this way, it is possible to avoid the financial and other difficulties of the experimental study by establishing the test …


Investigating The Efficiency Of Multithreading Application Programming Interfacesfor Parallel Packet Classification In Wireless Sensor Networks, Mahdi Abbasi, Milad Rafiee, Mohammad R. Khosravi Jan 2020

Investigating The Efficiency Of Multithreading Application Programming Interfacesfor Parallel Packet Classification In Wireless Sensor Networks, Mahdi Abbasi, Milad Rafiee, Mohammad R. Khosravi

Turkish Journal of Electrical Engineering and Computer Sciences

This paper investigates the most appropriate application programming interface (API) that best accelerates the flow-based applications on the wireless sensor networks (WSNs). Each WSN include many sensor nodes which have limited resources. These sensor nodes are connected together using base stations. The base stations are commonly network systems with conventional processors which are responsible for handling a large amount of communicated data in flows of network packets. For this purpose, classification of the communicated packets is considered the primary process in such systems. With the advent of high-performance multicore processors, developers in the network industry have considered these processors as …


A Template-Based Code Generator For Web Applications, Burak Uyanik, Veysel Harun Şahi̇n Jan 2020

A Template-Based Code Generator For Web Applications, Burak Uyanik, Veysel Harun Şahi̇n

Turkish Journal of Electrical Engineering and Computer Sciences

The importance and usage of web applications grow every day. Today from small businesses to large-scale corporations, many institutions prefer web applications for both their internal and external services. Code size and complexity of these kinds of applications grow rapidly. This brings up the question of how to improve the development process of web applications. A solution can be to use code generators. This paper introduces a template-based code generator to improve the development process of web applications. The code generator was developed and integrated into a real-life web application. Today, the web application together with the code generator is …


Remac: A Novel Hybrid And Reservation-Based Mac Protocol For Vanets, Fi̇kri̇ Ağgün, Musa Çibuk, Shafqat Ur Rehman Jan 2020

Remac: A Novel Hybrid And Reservation-Based Mac Protocol For Vanets, Fi̇kri̇ Ağgün, Musa Çibuk, Shafqat Ur Rehman

Turkish Journal of Electrical Engineering and Computer Sciences

The period in which a roadside unit (RSU) of a vehicle remains in the coverage area is too short in vehicular ad hoc networks (VANETs) in which the vehicles move at high speeds. In this short period, it is necessary for the vehicles to join the network and establish continuous communication with the RSU. To accomplish this, the RSU and vehicles need an efficient and robust media access control (MAC) protocol. In this study, a new reservation-based MAC (ReMAC) protocol in which multiple channels are used is suggested to ensure rapid connection to RSUs, smooth transition between RSUs, and efficient …


A Novel Genome Analysis Method With The Entropy-Based Numerical Techniqueusing Pretrained Convolutional Neural Networks, Bi̇hter Daş, Suat Toraman, İbrahi̇m Türkoğlu Jan 2020

A Novel Genome Analysis Method With The Entropy-Based Numerical Techniqueusing Pretrained Convolutional Neural Networks, Bi̇hter Daş, Suat Toraman, İbrahi̇m Türkoğlu

Turkish Journal of Electrical Engineering and Computer Sciences

The identification of DNA sequences as exon and intron is a common problem in genome analysis. The methods used for feature extraction and mapping techniques for the digitization of sequences affect directly the solution of this problem. The existing mapping techniques are not enough to detect coding and noncoding regions in some genomes because the digital representation of each base in a DNA sequence with an integer does not fully reflect the structure of an original DNA sequence. In the entropy-based mapping technique, we could overcome this problem because the technique deepens distinction rates of exon regions, and better reflects …


Finite-Time Dynamic Surface Approach To Nonlinear Systems With Mismatcheduncertainties, Guofa Sun, Yaming Xu Jan 2020

Finite-Time Dynamic Surface Approach To Nonlinear Systems With Mismatcheduncertainties, Guofa Sun, Yaming Xu

Turkish Journal of Electrical Engineering and Computer Sciences

This paper develops a finite-time dynamic surface control (DSC) scheme for nonlinear systems with mismatched uncertainties via a high-order sliding mode(HOSM) observer. By designing a second-order terminal sliding surface based on the estimated signals, an observer-based sliding mode control (SMC) is designed to counteract the mismatched uncertainties in each step of backstepping. The proposed DSC scheme exhibits the following two attractive features. One is the application of HOSM observer to deal with mismatched system uncertainty functions. This is very different from the traditional approximator-based adaptive methods in dealing with high-order uncertain nonlinear systems. The other is the finite-time convergence of …


Sketic: A Machine Learning-Based Digital Circuit Recognition Platform, Mohamamd Abdel Majeed, Tasneem Almousa, Maysaa Alsalman, Abeer Yosef Jan 2020

Sketic: A Machine Learning-Based Digital Circuit Recognition Platform, Mohamamd Abdel Majeed, Tasneem Almousa, Maysaa Alsalman, Abeer Yosef

Turkish Journal of Electrical Engineering and Computer Sciences

In digital system design, digital logic circuit diagrams are built using interconnects and symbolic representations of the basic logic gates. Constructing such diagrams using free sketches is the first step in the design process. After that the circuit schematic or code has to be generated before being able to simulate the design. While most of the mentioned steps are automated using design automation tools, drafting the schematic circuit and then converting it into a valid format that can be simulated are still done manually due to the lack of robust tools that can recognize the free sketches and incorporate them …


Detection Of Bga Solder Defects From X-Ray Images Using Deep Neural Network, Ceren Türer Akdeni̇z, Zümray Ölmez, Tamer Ölmez Jan 2020

Detection Of Bga Solder Defects From X-Ray Images Using Deep Neural Network, Ceren Türer Akdeni̇z, Zümray Ölmez, Tamer Ölmez

Turkish Journal of Electrical Engineering and Computer Sciences

In the literature it is observed that complex image processing operations are used in the classification of Ball Grid Array (BGA) X-ray images, however high classification results were not achieved. In recent years, it has been shown that deep learning methods are very successful especially in classification problems. In this study, a new deep neural network (DNN) model is proposed to classify the BGA X-ray images. The proposed DNN model contains feature extractor layers and a minimum distance classifier. Since the proposed network consists of less number of layers (4 convolution layers and 1 fully connected layer), determination of the …


Transmit Antenna Selection Schemes For Stbc-Sm, Belal Asaati, Ammar Abu Hudrouss Jan 2020

Transmit Antenna Selection Schemes For Stbc-Sm, Belal Asaati, Ammar Abu Hudrouss

Turkish Journal of Electrical Engineering and Computer Sciences

The coupling of space-time block codes (STBCs) with the spatial modulation (SM) scheme can introduce a spatial diversity to the SM systems. This paper presents antenna selection techniques to provide an additional coding gain with the space-time block coded spatial modulation (STBC-SM). Specifically, the selection of optimal transmit antenna elements at the transmitter to send a spatially modulated space-time block code is studied. This paper studies the effects of applying the capacity optimized antenna selection (COAS) algorithm with the STBC-SM. The COAS algorithm has a suboptimal performance with a trade-off between complexity and bit-error-rate (BER) enhancement. Simulation results for STBC-SM …