Edge Distance Graph Kernel And Its Application To Small Molecule Classification,
2017
TÜBİTAK
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 …
Investigation Of Adaptive Control Of Robot Manipulators With Uncertain Features For Trajectory Tracking Employing Hil Simulation Technique, Senthil Kumar Jagatheesa Perumal, Senthil Kumar Natarajan
Turkish Journal of Electrical Engineering and Computer Sciences
This paper investigates the hardware-in-the-loop (HIL) simulation approach for dynamic control of a three-link rigid robot manipulator that possesses ambiguous dynamics and kinematics. The task with two adaptive control schemes has been realized with the objective of task space trajectory-tracking of the end effector of the robotic manipulator. Both proposed controllers are designed by considering the joint reference velocities and the additional separation property. Based on these, the controllers can be referred to as reference velocity (RV) and reference velocity separation (RVS) adaptive controllers, respectively. The RV adaptive controller can yield better performance with proper alterations, without the cost of …
A Frequency-Reconfigurable Elliptical Monopole Antenna For Cognitive Radio Networks,
2017
TÜBİTAK
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 …
Safety-Critical Wireless Sensor Networks Under A Polyphase Spreading Sequences Scenario,
2017
TÜBİTAK
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 …
Design And Implementation Of A Six-Port Junction Based On Substrate Integrated Waveguide,
2017
TÜBİTAK
Design And Implementation Of A Six-Port Junction Based On Substrate Integrated Waveguide, Masoud Jafari, Gholamreza Moradi, Reza Sarraf Shirazi, Rashid Mirzavand
Turkish Journal of Electrical Engineering and Computer Sciences
A six-port junction based on substrate integrated waveguide technology with high reliability and efficient performance is proposed in a sub-K-band of 21-23.5 GHz. This substrate integrated waveguide (SIW) six-port junction is constructed from three directional couplers and one T-junction power divider as fundamental components in SIW form, where using appropriate via techniques led to -6 dB coupling coefficients and -15 dB return loss. There is good agreement between the simulation and the measurement results.
Support Vector Machines For Predicting The Hamstring And Quadriceps Muscle Strength Of College-Aged Athletes,
2017
TÜBİTAK
Support Vector Machines For Predicting The Hamstring And Quadriceps Muscle Strength Of College-Aged Athletes, Mehmet Fati̇h Akay, Fati̇h Abut, Ebru Çeti̇n, İmdat Yarim, Boubacar Sow
Turkish Journal of Electrical Engineering and Computer Sciences
Hamstring and quadriceps muscles are essential for the performance of athletes in various sport branches. Hamstring muscles control running activities and stabilize the knee during turns or tackles, while quadriceps muscles play an important role in jumping and kicking. Although hamstring and quadriceps muscle strength in athletes can be accurately measured using isokinetic dynamometry, practical difficulties, such as the requirement of nonportable and costly equipment as well as a long period of measurement time, motivate the researcher to predict hamstring and quadriceps muscle strength using promising machine-learning methods. The purpose of this study is to build prediction models for estimating …
Taller Peaks: An Improved Spike Detection Algorithm That Simultaneously Reduces Type I And Type Ii Errors For Wave_Clus,
2017
TÜBİTAK
Taller Peaks: An Improved Spike Detection Algorithm That Simultaneously Reduces Type I And Type Ii Errors For Wave_Clus, Murat Okatan
Turkish Journal of Electrical Engineering and Computer Sciences
Wave_clus is an unsupervised spike detection and sorting algorithm that has been used in dozens of experimental studies as a spike sorting tool. It is often used as a benchmark for comparing the performance of new spike sorting algorithms. For these reasons, the spike detection performance of Wave_clus is important for both experimental and computational studies that involve spike sorting. Two measures of spike detection performance are the number of false positive detections (type I error) and the number of missed spikes (type II error). Here, a new spike detection algorithm is proposed that reduces the number of misses and …
Application Of Reinforcement Learning For Active Noise Control,
2017
TÜBİTAK
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.
Intelligent Reorganized Discrete Cosine Transform For Reduced Reference Image Quality Assessment,
2017
TÜBİTAK
Intelligent Reorganized Discrete Cosine Transform For Reduced Reference Image Quality Assessment, Tariq Bashir, Imran Usman, Shahnawaz Khan, Junaid Ur Rehman
Turkish Journal of Electrical Engineering and Computer Sciences
Reduced reference image quality assessment does not require the presence of the original image for assessing the quality of a degraded image. This work proposes an intelligent method for reduced reference image quality assessment based on a reorganized discrete cosine transform (RDCT). A genetic algorithm (GA) is used to compute optimized estimation of the generalized Gaussian distribution (GGD), which then approximates the coefficient distribution in the RDCT domain. Experimental results validate that such an intelligent estimation produces far superior results compared to conventional empirical estimation methods as presented in the literature. We compare the proposed technique with a number of …
Compact Electronically Tunable Quadrature Oscillator Using Single Voltage Differencing Gain Amplifier (Vdga) And All Grounded Passive Elements, Orapin Channumsin, Worapong Tangsrirat
Turkish Journal of Electrical Engineering and Computer Sciences
This work deals with the design of a compact electronically tunable sinusoidal quadrature oscillator. The proposed quadrature oscillator is designed with a single voltage differencing gain amplifier (VDGA) and all the three grounded passive elements. Its oscillation condition and oscillation frequency can be tuned independently by means of the VDGA transconductance gains. The proposed oscillator also provides the explicit quadrature voltage outputs of almost equal magnitude and low active and passive sensitivity figures. The performance of the oscillator has been demonstrated by PSPICE simulations based on TSMC 0.35-$\mu $m CMOS technology.
Modeling Of Time Delay-Induced Multiple Synchronization Behavior Of Interneuronal Networks With The Izhikevich Neuron Model,
2017
TÜBİTAK
Modeling Of Time Delay-Induced Multiple Synchronization Behavior Of Interneuronal Networks With The Izhikevich Neuron Model, Yüksel Çakir
Turkish Journal of Electrical Engineering and Computer Sciences
The synchronization behavior of the networks of fast-spiking interneurons is investigated by using one of the phenomenological neural network models, the Izhikevich model. Since electrical and chemical synapses exist within the same networks of inhibitory cells, delayed inhibitory and fast electrical synapses are coupled in the simulations. The effects of hybrid synapses in promoting synchronous activity in neural networks are investigated with short and long time delays. The distinct frequency bands observed in electroencephalography and magnetoencephalography signals are determined using the raster plots of neural networks. For quantitative comparison of activities in networks, the degree of synchrony in the network …
Late Fusion Of Facial Dynamics For Automatic Expression Recognition,
2017
TÜBİTAK
Late Fusion Of Facial Dynamics For Automatic Expression Recognition, Alessandra Bandrabur, Laura Florea, Cornel Florea, Matei Mancas
Turkish Journal of Electrical Engineering and Computer Sciences
Installment of a facial expression is associated with contractions and extensions of specific facial muscles. Noting that expression is about changes, we present a model for expression classification based on facial landmarks dynamics. Our model isolates the trajectory of facial fiducial points by wrapping them up in relevant features and discriminating among various alternatives with a machine learning classification system. The used features are geometric and temporal-based and the classification system is represented by a late fusion framework that combines several neural networks with binary responses. The proposed method is robust, being able to handle complex expression classes.
Impact Of Distributed Generator Controllers On The Coordination Of Overcurrent Relays In Microgrid,
2017
TÜBİTAK
Impact Of Distributed Generator Controllers On The Coordination Of Overcurrent Relays In Microgrid, Niraj Kumar Choudhary, Soumya Ranjan Mohanty, Ravindra Kumar Singh
Turkish Journal of Electrical Engineering and Computer Sciences
In the presence of distributed generators (DGs) the fault current sensed by relay in the forward direction is larger than that in the reverse direction. Thus, it is required to have different relay settings for both forward and reverse directions. This paper investigates the impact of DG controller operating modes on the coordination of conventional and dual setting overcurrent relays (OCRs). The different DG control modes are voltage control mode (VCM) and current control mode (CCM). A comparative study of protection coordination is presented in both the operating modes of the DG. This scheme is tested on a 3-bus meshed …
Time-Time Matrix Z-Score Vector-Based Fault Analysis Method For Series-Compensated Transmission Lines,
2017
TÜBİTAK
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 …
Trnsys Simulation Of Solar Chimney Power Plants With A Heat Storage Layer,
2017
TÜBİTAK
Trnsys Simulation Of Solar Chimney Power Plants With A Heat Storage Layer, Fei̇ Cao, Yufei Mao, Tianyu Zhu, Liang Zhao
Turkish Journal of Electrical Engineering and Computer Sciences
The transient performance of a solar chimney power plant (SCPP) with a heat storage layer is evaluated in the present study. A modified TRNSYS type is built. The ground temperature, wind velocity at the chimney inlet, and the power capacity over two typical days are simulated and compared with and without considering the heat storage layer. SCPP performances with six ground materials (granite, limestone, sandstone, sand, wet soil, and water) are compared. The parameters are postponed for 2-3 h when the heat storage layer is considered. This is the multieffect of solar irradiation, air characteristics, and ambient temperature. The SCPP …
A Secure Cross-Layer Aodv Routing Method To Detect And Isolate (Sclardi) Black Hole Attacks For Manet,
2017
TÜBİTAK
A Secure Cross-Layer Aodv Routing Method To Detect And Isolate (Sclardi) Black Hole Attacks For Manet, Usha Gopal, Kannimuthu Subramanian
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, a secure cross-layer--based routing technique (SCLARDI) for a mobile ad hoc network (MANET) is proposed. This technique makes use of ad hoc on-demand routing protocol (AODV) algorithms and honeypot technology to detect and isolate black hole attacks from MANETs. This novel system is compared with the single-layer design techniques and existing cross-layer detection techniques. Out of the tested models, the proposed cross-layer design is the most suitable for MANET security. First, the vulnerabilities of the AODV routing protocol against black hole attacks are analyzed. Second, a secure cross-layer--based AODV routing technique is proposed. The proposed SCLARDI technique …
Study On The Recognition Method Of Airport Perimeter Intrusion Incidents Based On Laser Detection Technology,
2017
TÜBİTAK
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 …
Case Study On Wavelet Choice Based On Statistical Image Quality Measures,
2017
TÜBİTAK
Case Study On Wavelet Choice Based On Statistical Image Quality Measures, Igor Vujovic, Ivica Kuzmanic
Turkish Journal of Electrical Engineering and Computer Sciences
Surveillance applications are under many negative influences, which should be suppressed, because these negative influences result in incorrectness of the motion mask. Suppression of several conflicting requirements can be optimized by a multiobjective approach. This paper proposes a multiobjective approach to selection of wavelets based on two main objectives: statistical image quality measures and execution time. Execution time is a measure of wavelets complexity. Segmentation is the final goal in order to insure precise operation of any surveillance algorithm. This paper presents a case study considering one, two, three, and four goals for wavelet selection comparison. Different wavelets are found …
Development Of Pmu-Based Backup Wide Area Protection For Power Systems Considering Hif Detection,
2017
TÜBİTAK
Development Of Pmu-Based Backup Wide Area Protection For Power Systems Considering Hif Detection, Saeed Asgharigoavr, Heresh Seyedi
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper a wavelet packet transform (WPT)-based algorithm is proposed to develop and improve the backup wide area protection for power systems equipped with phasor measurement units (PMUs). Faults on power systems such as high impedance faults (HIFs) have specific characteristics that include high frequency components that can be extracted using the WPT, which is one of the important methods in signal processing. The proposed idea uses power system voltage and current, measured by voltage and current transformers, respectively, and calculates high frequency information of voltage and current waveforms. Afterwards, the differences of voltage coefficients of each phase at …
Matching Points Of Interest With User Context: An Ann Approach,
2017
TÜBİTAK
Matching Points Of Interest With User Context: An Ann Approach, Özgün Yilmaz
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, the design and development of an artificial neural network (ANN) for similarity value calculation in a context-aware system is proposed. This neural network is used by the neural agent of the iConAwa system. Since iConAwa is an intelligent, context-aware, multiagent system, it provides mobile users with context-aware information and services, and also provides communication with each other. Context and points of interest are modeled in a flexible and extensible way by using ontologies. iConAwa derives high-level implicit context from low-level explicit context by inference performed over the context ontology. This approach decouples context reasoning from the source …
