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Articles 3301 - 3330 of 8897

Full-Text Articles in Physical Sciences and Mathematics

Turkish Synonym Identification From Multiple Resources: Monolingual Corpus, Mono/Bilingual Online Dictionaries, And Wordnet, Tuğba Yildiz, Banu Di̇ri̇, Savaş Yildirim Jan 2017

Turkish Synonym Identification From Multiple Resources: Monolingual Corpus, Mono/Bilingual Online Dictionaries, And Wordnet, Tuğba Yildiz, Banu Di̇ri̇, Savaş Yildirim

Turkish Journal of Electrical Engineering and Computer Sciences

In this study, a model is proposed to determine synonymy by incorporating several resources. The model extracts the features from monolingual online dictionaries, a bilingual online dictionary, WordNet, and a monolingual Turkish corpus. Once it has built a candidate list, it determines the synonymy for a given word by means of those features. All these resources and the approaches are evaluated. Taking all features into account and applying machine learning algorithms, the model shows good performance of F-measure with 81.4%. The study contributes to the literature by integrating several resources and attempting the first corpus-driven synonym detection system for Turkish.


Classifications Of Disturbances Using Wavelet Transform And Support Vector Machine, Neda Hajibandeh, Faramarz Faghihi, Hossein Ranjbar, Hesam Kazari Jan 2017

Classifications Of Disturbances Using Wavelet Transform And Support Vector Machine, Neda Hajibandeh, Faramarz Faghihi, Hossein Ranjbar, Hesam Kazari

Turkish Journal of Electrical Engineering and Computer Sciences

This paper proposes a new method to detect and classify all kinds of faults, capacitor switching, and load switching in a power system network based on wavelet transform and support vector machines (SVMs). In this regard, a sample of a power system is simulated via MATLAB/Simulink, and by reading the voltage of the point of common coupling and using the wavelet transform, the differences of the outputs of the wavelet transform are investigated. The SVM approach is employed to distinguish the type of the transient (capacitor switching, fault, and/or load switching) in use for the high level outputs of the …


An Optimized Buffer Insertion Algorithm With Delay-Power Constraints For Vlsi Layouts, Chessda Uttraphan, Nasir Shaikh-Husin, Mohamed Khalil Hani Jan 2017

An Optimized Buffer Insertion Algorithm With Delay-Power Constraints For Vlsi Layouts, Chessda Uttraphan, Nasir Shaikh-Husin, Mohamed Khalil Hani

Turkish Journal of Electrical Engineering and Computer Sciences

We propose a grid-graph algorithm for interconnect routing and buffer insertion in nanometer VLSI layout designs. The algorithm is designed to handle multiconstraint optimizations, namely timing performance and power dissipation. The proposed algorithm is called HRTB-LA, which stands for hybrid routing tree and buffer insertion with look-ahead. In recent VLSI designs, interconnect delay has become a dominant factor compared to gate delay. The well-known technique to minimize the interconnect delay is by inserting buffers along the interconnect wires. However, the buffer itself consumes power and it has been shown that power dissipation overhead due to buffer insertions is significantly high. …


An Effective Empirical Approach To Voip Traffic Classification, Nazar Abbas Saqib, Yaqoot Shakeel, Moazzam Ali Khan, Hasan Mehmood, Muhammad Zia Jan 2017

An Effective Empirical Approach To Voip Traffic Classification, Nazar Abbas Saqib, Yaqoot Shakeel, Moazzam Ali Khan, Hasan Mehmood, Muhammad Zia

Turkish Journal of Electrical Engineering and Computer Sciences

It is beneficial for telecommunication authorities and Internet service providers (ISPs) to classify and detect voice traffic. It can help them to block unsubscribed users from using their services, which saves them huge revenues. Voice packets can be detected easily, but it becomes complicated when the application or port information in the packet header is hidden due to some secure mechanism such as encryption. This work provides effective voice packet classification and detection based on behavioral and statistical analysis, which is independent of any application, security protocol, or encryption mechanism. First we have made initial assessments through packet feature analysis …


A Metaheuristic Based On The Tabu Search For Hardware-Software Partitioning, Mehdi Jemai, Sonia Dimassi, Bouraoui Ouni, Abdellatif Mtibaa Jan 2017

A Metaheuristic Based On The Tabu Search For Hardware-Software Partitioning, Mehdi Jemai, Sonia Dimassi, Bouraoui Ouni, Abdellatif Mtibaa

Turkish Journal of Electrical Engineering and Computer Sciences

Several metaheuristics have become increasingly interesting in solving combinatorial problems. In this paper, we present an algorithm involving a metaheuristic based on tabu search and binary search trees to address the problem of hardware-software partitioning. Metaheuristics do not guarantee an optimum solution, but they can produce acceptable solutions in a reasonable time. Our proposed algorithm seeks to find the efficient hardware-software partitioning that minimizes the logic area of a system on a programmable chip under the condition of time constraints. Our goal is to have a better trade-off between the logic area of the application and its execution time. Finally, …


Implementation Of A Web-Based Service For Mobile Application Risk Assessment, Asim Si̇nan Yüksel, Mehmet Erkan Yüksel, Ahmet Sertbaş, Abdül Hali̇m Zai̇m Jan 2017

Implementation Of A Web-Based Service For Mobile Application Risk Assessment, Asim Si̇nan Yüksel, Mehmet Erkan Yüksel, Ahmet Sertbaş, Abdül Hali̇m Zai̇m

Turkish Journal of Electrical Engineering and Computer Sciences

The Android operating system has increased in popularity and has been increasing its shares in the smart phone market. Users can carry out their daily work such as paying bills, being social, and sharing photos through mobile applications. These applications have access to sensitive information about the user, such as location, contacts, call logs, and SMS messages. However, the users have no knowledge of the applications or the personal information these applications have access to. Even if an application is not malware or does not have malicious behavior, it can compromise the security and privacy of the user by accessing …


A Methodology To Include Real-Life Failure Data In The Failure Rate Estimation Of Power Distribution Systems, Mojtaba Gilvanejad, Hossein Askarian Abyaneh, Kazem Mazlumi Jan 2017

A Methodology To Include Real-Life Failure Data In The Failure Rate Estimation Of Power Distribution Systems, Mojtaba Gilvanejad, Hossein Askarian Abyaneh, Kazem Mazlumi

Turkish Journal of Electrical Engineering and Computer Sciences

Random failure rates are usually assumed as constant values in reliability calculations. In this paper, this topic is investigated using stochastic models of uncertain phenomena like lightning, cold load pickup, and overloading, which result in random failures. An algorithm is developed to estimate the random failure rates in distribution networks during their lifetime. This algorithm stochastically generates the random failures as well as sustained failures as a result of equipment wear-out state due to the aging process and finally estimates the total number of temporary/sustained failures in a period of the network lifetime. The results of applying this algorithm to …


Implementation Of A Flywheel Energy Storage System For Space Applications, Reşat Çeli̇kel, Mehmet Özdemi̇r, Ömür Aydoğmuş Jan 2017

Implementation Of A Flywheel Energy Storage System For Space Applications, Reşat Çeli̇kel, Mehmet Özdemi̇r, Ömür Aydoğmuş

Turkish Journal of Electrical Engineering and Computer Sciences

A satellite power system requires solar panels to provide energy and orientation. There are two regions in the orbital path of the satellite: the dark and bright region. The energy is provided by solar panels in the bright region and by flywheel energy storage system (FESS) in the dark region. Brushless DC (BLDC) motors are widely used in the FESS due to their low weight, high power density, high efficiency, high reliability, and high speed. Some mechanical resonances may occur due to physical features of the mechanical parts. Therefore, the current of the BLDC is dramatically increased because of the …


A 3d Simulation Of The Formation Of Primary Platelet Thrombi Based On A Hybrid Computational Model, Chaoqing Ma, Oubong Gwun Jan 2017

A 3d Simulation Of The Formation Of Primary Platelet Thrombi Based On A Hybrid Computational Model, Chaoqing Ma, Oubong Gwun

Turkish Journal of Electrical Engineering and Computer Sciences

Recently, the study of thrombosis simulation based on computational models has been one of the most popular research areas. In this paper, a 3D simulation method based on a hybrid model is proposed for platelet thrombus formation. The flow of platelets is modeled in a macroscale submodel using Navier--Stokes equations and the physiological processes such as adhesion and aggregation of platelets are modeled in a microscale submodel. In the adhesion and aggregation phases, the attraction of platelets due to blood coagulation factors (von Willebrand factor) is modeled using the external force, and the conversion from unstable aggregation to stable aggregation …


Performance Evaluation Of Simple Csrz-Qdpsk Transmitter Configurations For 20-Gbps Pon Applications, Rimmya Chitravelu, Ganesh Madhan Muthu Jan 2017

Performance Evaluation Of Simple Csrz-Qdpsk Transmitter Configurations For 20-Gbps Pon Applications, Rimmya Chitravelu, Ganesh Madhan Muthu

Turkish Journal of Electrical Engineering and Computer Sciences

The performance of 1 and 2 Mach--Zehnder modulator (MZM)-based simple carrier suppressed return to zero differential quadrature phase shift keying (CSRZ-QDPSK) transmitters is analyzed in a 20 Gb/s single-mode fiber optic link. The link's performance under the transmitter schemes is evaluated by analyzing the received constellation, eye diagram, quality factor, and eye opening penalty (EOP) in a passive optical networks (PON) scenario. It is observed that the simple transmitter provides performance closer to the case of the standard 3 MZM CSRZ-QDPSK-based transmitter reported in the literature and implemented in experiments.


Electrical Design And Testing Of A 500 Kw Doubly Fed Induction Generator For Wind Power Applications, Cenk Ulu, Güven Kömürgöz Jan 2017

Electrical Design And Testing Of A 500 Kw Doubly Fed Induction Generator For Wind Power Applications, Cenk Ulu, Güven Kömürgöz

Turkish Journal of Electrical Engineering and Computer Sciences

In this study, the electrical design and testing of a 500 kW doubly fed induction generator (DFIG) is presented, developed in the context of the MILRES (Turkish National Wind Energy Systems) Project. The main objective of the MILRES Project is to encourage locally produced equipment for wind power systems. Therefore, in the DFIG design, the standard construction capabilities of the local machine manufacturers are especially taken into consideration. In this way, it is aimed that the designed DFIG can easily and cost-effectively be manufactured by local machine manufacturers in Turkey. In the DFIG design procedure, initially, an analytical design of …


Dvcc-Based Floating Capacitance Multiplier Design, Hali̇l Alpaslan Jan 2017

Dvcc-Based Floating Capacitance Multiplier Design, Hali̇l Alpaslan

Turkish Journal of Electrical Engineering and Computer Sciences

In this paper, a floating capacitance multiplier including two multioutput differential voltage current conveyors, two grounded resistors, and a grounded capacitor is proposed. The proposed floating capacitance multiplier can realize high capacitor values with two small-valued resistors. It is more suitable for integrated circuit technology because it has only grounded passive components without needing any critical passive component matching conditions. Its performances are examined with several simulations using the SPICE program. As an application example, a third-order notch filter using three resistors and three capacitors is given.


An Advanced Robust Fault-Tolerant Tracking Control For A Doubly Fed Induction Generator With Actuator Faults, Samir Abdelmalek, Linda Barazane, Abdelkader Larabi Jan 2017

An Advanced Robust Fault-Tolerant Tracking Control For A Doubly Fed Induction Generator With Actuator Faults, Samir Abdelmalek, Linda Barazane, Abdelkader Larabi

Turkish Journal of Electrical Engineering and Computer Sciences

Fault-tolerant controller (FTC) designs for doubly fed induction generators (DFIGs) with actuator faults have recently gained considerable attention due to their important role in maintaining the safety and reliability of DFIG-based wind turbines via configured redundancy. The objective of this paper is to propose a novel active fault-tolerant tracking control strategy for a DFIG subject to actuator faults. The proposed strategy consists of first designing a proportional integral observer (PIO) for simultaneous system states and fault estimation and then secondly the FTC, which depends on the estimated states and faults. The objective of such a controller is to drive the …


Threshold Distance-Based Cluster Routing Protocols For Static And Mobile Wireless Sensor Networks, Padmavati Khandnor, Trilok Aseri Jan 2017

Threshold Distance-Based Cluster Routing Protocols For Static And Mobile Wireless Sensor Networks, Padmavati Khandnor, Trilok Aseri

Turkish Journal of Electrical Engineering and Computer Sciences

In cluster-based wireless sensor network routing protocols, when the cluster head transfers data based on single hop transmission to the sink node, then the cluster heads that are farther away deplete more energy as compared to nearby cluster heads. This condenses load balancing in the network. If the cluster heads collaborate with each other and transfer data based on multihop transmission, then the cluster heads nearer to the sink node are burdened with significant relay traffic and deplete energy much faster, which causes a network coverage problem also known as a hot spot problem. To avoid both of the above …


Experimental Evaluation And Fdtd Method For Predicting Electromagnetic Fields In The Near Zone Radiated By Power Converter Systems, Mohammed Laour, Redouane Tahmi, Christian Vollaire Jan 2017

Experimental Evaluation And Fdtd Method For Predicting Electromagnetic Fields In The Near Zone Radiated By Power Converter Systems, Mohammed Laour, Redouane Tahmi, Christian Vollaire

Turkish Journal of Electrical Engineering and Computer Sciences

This paper presents the study of conducted electromagnetic interference (EMI) currents flowing through the power cables of a DC-DC converter system and its correlation with the near field radiated from these cables. The radiated emission measurement contains a common mode (CM) and a differential mode (DM), and accurate separation of the radiated emissions of these two modes is necessary. The finite-difference time-domain (FDTD) method is used to predict the electromagnetic radiation caused by CM currents and DM currents. An experimental bench has been designed to allow access to the measurement of EMI disturbances at various sensitive places. The CM and …


Design And Implementation Of A Modified Communication Disturbance Observer For Teleoperation Systems, Zahra Zeinaly, Amin Ramezani, Sadjaad Ozgoli Jan 2017

Design And Implementation Of A Modified Communication Disturbance Observer For Teleoperation Systems, Zahra Zeinaly, Amin Ramezani, Sadjaad Ozgoli

Turkish Journal of Electrical Engineering and Computer Sciences

In this paper, a novel structure for a communication disturbance observer in teleoperation systems is proposed to achieve robust stability. A time delay compensation method based on the concept of network disturbance and a communication disturbance observer (CDOB) has been proposed in past research. Unlike model-based approaches, it works without a time delay model. Therefore, it can be implemented in teleoperation systems with unknown and time-varying delay. However, it has been observed that the system model errors and external disturbances seriously affect the steady-state characteristics. Hence, in this paper, to achieve robustness against disturbance and model uncertainty, the structure of …


Investigation Of Secondary Cooling Design Enhancements In Thermally Limited Compact Notebooks, Muhammad Azhar Ali Khan, Eray Uzgören, Ali̇ Muhtaroğlu Jan 2017

Investigation Of Secondary Cooling Design Enhancements In Thermally Limited Compact Notebooks, Muhammad Azhar Ali Khan, Eray Uzgören, Ali̇ Muhtaroğlu

Turkish Journal of Electrical Engineering and Computer Sciences

Thermal design enhancements in a thermally limited compact notebook system are investigated in this paper. System temperature, power, and fan speed are characterized under a range of activity levels. A finite element model is developed, and validated against measurements. Design enhancements improve cooling with minimum intrusion to the existing mechanical design. A passive secondary heat pipe in the system reduces the CPU temperature by 5 $^{\circ}$C, and improves the system performance through increased CPU + Graphics and Memory Controller Hub (GMCH) thermal design power (TDP) by 6.4%. When such a secondary heat pipe is considered with an integrated off-the-shelf Peltier …


Regional Ionospheric Trend Statistics: Ionolab-Pdf, Ozan Köroğlu, Feza Arikan Jan 2017

Regional Ionospheric Trend Statistics: Ionolab-Pdf, Ozan Köroğlu, Feza Arikan

Turkish Journal of Electrical Engineering and Computer Sciences

The ionosphere plays an important role for HF bands, space-based positioning systems, satellite communication, and propagation. The variability of the ionosphere has a complex spatiotemporal characteristic, which depends on statistical parameters. Total electron content (TEC) is one of the major observables for investigating and determining this variability. In this study, spatiotemporal within-the-hour statistical characteristics of TEC are determined for Turkey, which is located in midlatitude, using the TEC estimates from the Turkish National Permanent GPS Network-Active between the years 2009 and 2012. The TEC values have strong hourly, seasonal, and positional dependence on east-west direction, and the trend shifts according …


Error Sources And Measurement Uncertainties In Outdoor Testing Of Bipv Modules, Kivanç Başaran Jan 2017

Error Sources And Measurement Uncertainties In Outdoor Testing Of Bipv Modules, Kivanç Başaran

Turkish Journal of Electrical Engineering and Computer Sciences

Although building-integrated photovoltaic (BIPV) systems have great potential, investment in this field is not at the desired level. There are two main reasons for this: the lack of technical analysis and economic reasons. Manufacturers and investors utilize datasheets of modules to determine the systems performance, which is determined at standard test conditions (STCs). However, there are apparent differences between STCs and outdoor measurements. Most studies in the field of BIPV system analysis have only focused on long-term outdoor measurements. Besides that, uncertainty of measurements is necessary to achieve scientific results. The aim of this study is to emphasize the importance …


Design Optimization Of A ĆUk Dc/Dc Converter Based On Reliability Constraints, Amirreza Zarrin Gharehkoushan, Mehdi Abapour, Amir Farakhor Jan 2017

Design Optimization Of A ĆUk Dc/Dc Converter Based On Reliability Constraints, Amirreza Zarrin Gharehkoushan, Mehdi Abapour, Amir Farakhor

Turkish Journal of Electrical Engineering and Computer Sciences

Recently, power electronic converters have widely been used in various applications. This has led to concerns about the reliability of power converters and, as a result, their optimal design has attracted a lot of attention. However, the reliability-based optimal design of the Ćuk DC-DC converter has not yet been studied. A new methodology is presented here for the optimal design of the Ćuk converter based on reliability constraints. In this study, the converter is designed to minimize power losses in order to maximize the mean time to failure of the converter. A genetic algorithm is used as the optimization technique, …


Image Compression Algorithm With Reduced Blocking Artifacts, Kritika Mittal, Kulbir Singh, Neeru Jindal Jan 2017

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 …


New Use Of The Hits Algorithm For Fast Web Page Classification, Mohamed Nadjib Meadi, Mohamed Chaouki Babahenini, Abdelmalik Taleb Ahmed Jan 2017

New Use Of The Hits Algorithm For Fast Web Page Classification, Mohamed Nadjib Meadi, Mohamed Chaouki Babahenini, Abdelmalik Taleb Ahmed

Turkish Journal of Electrical Engineering and Computer Sciences

The immense number of documents published on the web requires the utilization of automatic classifiers that allow organizing and obtaining information from these large resources. Typically, automatic web pages classifiers handle millions of web pages, tens of thousands of features, and hundreds of categories. Most of the classifiers use the vector space model to represent the dataset of web pages. The components of each vector are computed using the term frequency inversed document frequency (TFIDF) scheme. Unfortunately, TFIDF-based classifiers face the problem of the large-scale size of input data that leads to a long processing time and an increase in …


Intellimote: A Hybrid Classifier For Classifying Learners' Emotion In A Distributed E-Learning Environment, Lopa Mandal, Rohan Das, Samar Bhattacharya, Pramatha Nath Basu Jan 2017

Intellimote: A Hybrid Classifier For Classifying Learners' Emotion In A Distributed E-Learning Environment, Lopa Mandal, Rohan Das, Samar Bhattacharya, Pramatha Nath Basu

Turkish Journal of Electrical Engineering and Computer Sciences

A huge collection of textual, graphical, audio, and video contents are readily available on the Internet to be used for the purpose of learning. Sentimental feedbacks of learners posted at the end of many of these contents may be considered as genuine reactions of the learners who have gone through the contents. Such learners' sentiments are important inputs for judging the acceptability of a learning material. Analyzing such feedbacks using sentiment analysis techniques can identify the best reusable learning contents that may be used for developing new courseware. This can significantly reduce the time and effort of authoring, which is …


Aqueous Paramagnetic Solutions For Mri Phantoms At 3 T:A Detailed Study On Relaxivities, Kalaivani Thangavel, Emi̇ne Ülkü Saritaş Jan 2017

Aqueous Paramagnetic Solutions For Mri Phantoms At 3 T:A Detailed Study On Relaxivities, Kalaivani Thangavel, Emi̇ne Ülkü Saritaş

Turkish Journal of Electrical Engineering and Computer Sciences

Phantoms with known T$_{1}$ and T$_{2}$ values that are prepared using solutions of easily accessible paramagnetic agents are commonly used in MRI imaging centers, especially with the goal of validating the accuracy of quantitative imaging protocols. The relaxivity parameters of several agents were comprehensively examined at lower B$_{0}$ field strengths, but studies at 3 T remain limited. The main goal of this study is to measure r$_{1}$ and r$_{2}$ relaxivities of three common paramagnetic agents (CuSO$_{4}$, MnCl$_{2}$, and NiCl$_{2})$ at room temperature at 3 T. Separate phantoms were prepared at various concentrations of 0.05-0.5 mM for MnCl$_{2}$ and 1-6 mM …


Offset-Free Adaptive Nonlinear Model Predictive Control With Disturbance Observer For Dc-Dc Buck Converters, Bahareh Vatankhah, Mohammad Farrokhi Jan 2017

Offset-Free Adaptive Nonlinear Model Predictive Control With Disturbance Observer For Dc-Dc Buck Converters, Bahareh Vatankhah, Mohammad Farrokhi

Turkish Journal of Electrical Engineering and Computer Sciences

The aim of this paper is to design a nonlinear model predictive control for DC-DC buck converters to track constant reference signals with zero steady-state error. The online trained neural network (NN) model is employed as the predictor and the steady-state error, which is called the offset, is studied in the presence of the changes in system parameters and the external disturbances. The stability of the closed-loop system is investigated using the Lyapunov direct theory. The proposed method can provide offset-free behavior in the presence of constant disturbances. For rejecting nonconstant disturbances, a nonlinear disturbance observer based on the NN …


An Ultrafast All-Optical Switch Based On A Nonlinear Photonic Crystal Waveguide Using Single Crystal P-Toluene Sulfonate, Mahdi Taheri, Masood Omoomi Jan 2017

An Ultrafast All-Optical Switch Based On A Nonlinear Photonic Crystal Waveguide Using Single Crystal P-Toluene Sulfonate, Mahdi Taheri, Masood Omoomi

Turkish Journal of Electrical Engineering and Computer Sciences

A novel design of an all-optical switch is proposed based on a nonlinear photonic crystal Mach-Zehnder interferometer (PC-MZI) to get the maximum switching speed and the minimum consuming power. As far as we know, this is the first study using a nonlinear polymer in one of the PC-MZI arms for realizing the switching phenomenon. All used components, such as bends, waveguides, and splitters, were individually optimized. Finite difference time domain and plane wave expansion methods were also utilized for the simulation of light propagation in the proposed structures.


Bayesian Estimation Of Discrete-Time Cellular Neural Network Coefficients, Hakan Meti̇n Özer, Ati̇lla Özmen, Habi̇b Şenol Jan 2017

Bayesian Estimation Of Discrete-Time Cellular Neural Network Coefficients, Hakan Meti̇n Özer, Ati̇lla Özmen, Habi̇b Şenol

Turkish Journal of Electrical Engineering and Computer Sciences

A new method for finding the network coefficients of a discrete-time cellular neural network (DTCNN) is proposed. This new method uses a probabilistic approach that itself uses Bayesian learning to estimate the network coefficients. A posterior probability density function (PDF) is composed using the likelihood and prior PDFs derived from the system model and prior information, respectively. This posterior PDF is used to draw samples with the help of the Metropolis algorithm, a special case of the Metropolis-Hastings algorithm where the proposal distribution function is symmetric, and resulting samples are then averaged to find the minimum mean square error (MMSE) …


Rapidly Converging Solution For P-Centers In Nonconvex Regions, Monika Mangla, Deepak Garg Jan 2017

Rapidly Converging Solution For P-Centers In Nonconvex Regions, Monika Mangla, Deepak Garg

Turkish Journal of Electrical Engineering and Computer Sciences

This paper aims to locate $p$ resources in a nonconvex demand plane having $n $demand points. The objective of the location problem is to find the location for these $p$ resources so that the distance from each of $n$ demand points to its nearest resource is minimized, thus simulating a $p$-center problem. We employ various geometrical structures for solving this location problem. The suggested approach is also capable of finding the optimal value of $p$ so that all demand points have at least one resource at a distance $\Delta $, where $\Delta $ is the maximum permissible distance for emergency …


Edge Distance Graph Kernel And Its Application To Small Molecule Classification, Mehmet Tan Jan 2017

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 …


A Frequency-Reconfigurable Elliptical Monopole Antenna For Cognitive Radio Networks, Santasri Koley, Debjani Mitra Jan 2017

A Frequency-Reconfigurable Elliptical Monopole Antenna For Cognitive Radio Networks, Santasri Koley, Debjani Mitra

Turkish Journal of Electrical Engineering and Computer Sciences

In this paper, an elliptical disk monopole antenna with seven switchable states, including an ultrawideband (UWB) state and six narrowband states, is presented. It consists of an elliptical disk radiator to operate in the UWB mode for cognitive radio (CR) sensing. To operate in the narrowband mode, the antenna is fed through a defected ground structure (DGS) integrated microstrip line. Frequency reconfigurability is achieved by changing the DGS slot length using six electronic switches. The simple proposed design can cover a wide range of frequency bands from 0.75 to 12 GHz, has an omnidirectional radiation pattern with high gain, and …