Discriminant-Based Bistability Analysis Of A Tmg-Induced Lac Operon Model Supported With Boundedness And Local Stability Results, Nesli̇han Avcu, Güleser Kalayci Demi̇r, Ferhan Pekergi̇n, Hakan Alyürük, Levent Çavaş, Cüneyt Güzeli̇ş
Turkish Journal of Electrical Engineering and Computer Sciences
This paper presents the results of a theoretical and numerical study on the analysis of bistable behavior of the most studied gene regulatory network, the lac operon, in terms of the model parameters. The boundedness of the state variables for the considered model are demonstrated, the parameter values providing the existence of the multiple equilibria and thus the bistable behavior are determined, and a local stability analysis of the equilibria is performed. The parameter region yielding the existence of multiple equilibria is determined in an algebraic way based on discriminants. The model given in the state equation form is defined …
Walsh Series Modeling And Estimation In Sensorless Position Control Of Electrical Drives,
2016
TÜBİTAK
Walsh Series Modeling And Estimation In Sensorless Position Control Of Electrical Drives, Hamidreza Shirazi, Jalal Nazarzadeh
Turkish Journal of Electrical Engineering and Computer Sciences
High-performance electrical drives can be achieved by using field-oriented controllers, which make torque and flux naturally decoupled. A conventional vector-controlled drive has the disadvantage of either requiring flux and speed sensors or being affected by rotor resistance, which varies along with the motor performance. The presented paper focuses on developing a high-performance sensorless rotor flux-oriented controller of an induction machine independent of the rotor resistance variation. This method applies spectral theory of Walsh functions, which are one of the most helpful members of piecewise constant basis functions in solving dynamic models. Inherent characteristics of Walsh functions and application of an …
Quantitative Information Extraction From Gas Sensor Data Using Principal Component Regression,
2016
TÜBİTAK
Quantitative Information Extraction From Gas Sensor Data Using Principal Component Regression, Ahmet Özmen, Beki̇r Mumyakmaz, Mehmet Ali̇ Ebeoğlu, Ci̇hat Taşaltin, İlke Gürol, Zafer Zi̇ya Öztürk, Deni̇z Dural
Turkish Journal of Electrical Engineering and Computer Sciences
This paper presents a novel use of the principal component analysis (PCA) and regression methods for quantitative feature extraction from gas sensor data. In this approach, PCA plots are interpreted by observing the locations of samples in the principal component domain. A trainable data processing system that also produces numerical output is designed to validate the method. The main advantages of this system are: 1) retrainability: once it is trained, it can be used for any gas set; 2) flexibility: adaptation to different targets does not require hardware modifications (if a sufficient number and variety of sensors are installed in …
A Novel Key Distribution Scheme Against Storage-Bounded Adversaries Using Attack Probabilities,
2016
TÜBİTAK
A Novel Key Distribution Scheme Against Storage-Bounded Adversaries Using Attack Probabilities, Mohammad Farhadi Bajestani, Ali Payandeh
Turkish Journal of Electrical Engineering and Computer Sciences
Key establishment proves to be a challenging problem in wireless sensor networks. A key establishment scheme needs to incorporate properties like scalability and energy efficiency. We propose a scheme that, besides enjoying a desirable scalability, consumes resources according to attack probability within each region. In this scheme, the distribution area is divided into regions of varying attack probability. It is assumed that the adversary is storage bounded and that not all communications can be stored by the adversary. This scheme is highly resistant to node compromises and there is an extremely low probability of discovering the key by the adversary …
Optimization With Genetic Algorithm Of Temperature-Dependent Fiber Length Of L-Band Edfa Gain,
2016
TÜBİTAK
Optimization With Genetic Algorithm Of Temperature-Dependent Fiber Length Of L-Band Edfa Gain, Murat Yücel, Damt Adnan Mustafa Mustafa
Turkish Journal of Electrical Engineering and Computer Sciences
Erbium-doped fiber amplifiers (EDFAs) have great importance in long-distance communication. It is required to have equal gain for all signals that are transferred and to avoid loss in the receiver of long-distance communication systems. However, temperature dependence changes the output spectrum of the designed gain-flattening systems. In this study, each erbium-doped fiber (EDF) length of a two-stage L-band EDFA has been optimized using a genetic algorithm method; because of the temperature dependence of EDFAs, there is no general rule. Thus, a simple, fast, dynamic, and highly accurate model has been developed and obtained for different EDF lengths that will fix …
An Enhanced Multiinterface Multichannel Algorithm For High Quality Live Video Streaming Over Hybrid Wmns,
2016
TÜBİTAK
An Enhanced Multiinterface Multichannel Algorithm For High Quality Live Video Streaming Over Hybrid Wmns, Behrang Barekatain, Mohd Aizaini Maarof, Alfonso Ariza Quintana, Alicia Triviño-Cabrera, Hamid Reza Ghaeini
Turkish Journal of Electrical Engineering and Computer Sciences
Recently, providing live video streaming over hybrid wireless mesh networks (WMNs) has been of great interest. In this kind of network, most of the users usually move with low speed and always keep their connections within the network by attaching to different mesh routers (MRs). When evaluating a mesh technology, it is important to pay special attention to this kind of device as it is mostly handled by the final user. These devices, known as STA nodes, neither run a routing protocol nor perform forwarding operations. Although our proposed distributed locator service in GREENIE makes hybrid WMNs more efficient for …
Reconstructive Sensing Circuit For Complementary Resistive Switches-Based Crossbar Memories,
2016
TÜBİTAK
Reconstructive Sensing Circuit For Complementary Resistive Switches-Based Crossbar Memories, Ertuğrul Karakulak, Reşat Mutlu, Erdem Uçar
Turkish Journal of Electrical Engineering and Computer Sciences
Complementary resistive switches (CRSs) are suggested as an alternative to one-cell memristor memories to decrease leakage currents. However, their sensing is more difficult and complex than one-cell memristor memories. A method has been given for sensing their state using only DC voltages in the literature. However, in this strategy, sensing one of the logic states results in the destruction of the state and the destroyed state must be written again. To the best of our knowledge, a circuit with this sensing strategy does not exist in the literature yet. In this paper, such a circuit employing this method, which is …
Effect Of Repetition Coding On The Ber Performance Of Interleave-Division Multiple Access Systems,
2016
TÜBİTAK
Effect Of Repetition Coding On The Ber Performance Of Interleave-Division Multiple Access Systems, Mehmet Bi̇li̇m, Nuri̇ Kapucu, İbrahi̇m Develi̇
Turkish Journal of Electrical Engineering and Computer Sciences
This paper investigates the bit error rate (BER) performance of interleave-division multiple access (IDMA) schemes to show the effect of repetition coding on the system performance. The considered system is tested in the presence of repetition coding by varying system parameters such as number of simultaneous users, data length, spread length, iteration number, and code rate over additive white Gaussian noise channels. In addition, the performance of the considered system is also illustrated in Rayleigh flat fading channels for a more realistic scenario. Our simulation results show that the BER performance of IDMA systems with repetition coding can achieve significant …
Behavior Characteristics Of A Cap-Resistor, Memcapacitor, And A Memristor From The Response Obtained Of Rc And Rl Electrical Circuits Described By Fractional Differential Equations, Jose Francisco Gomez Aguilar
Turkish Journal of Electrical Engineering and Computer Sciences
This paper provides an analysis of RC and RL electrical circuits described by a fractional difierential equation of Caputo type. The order considered is ${0 \textless \gamma }\le ${ 1}. The Laplace transform of the fractional derivative is used. To keep the dimensionality of the physical quantities, R, C, L, and an auxiliary parameter $\sigma $ are introduced, characterizing the existence of fractional components in the system. The relationship between $\gamma$ and $\sigma $ is reported. The response obtained from the fractional RC and RL circuits exhibits the characteristic behaviors of a cap-resistor, memcapacitor, and memristor, as well as charge-voltage …
A New Single Stage Single Phase Power Factor Corrected And Isolated Ac-Dc Converter Based On Resonance And Soft Switching,
2016
TÜBİTAK
A New Single Stage Single Phase Power Factor Corrected And Isolated Ac-Dc Converter Based On Resonance And Soft Switching, Haci Bodur, Erdem Akboy, İsmai̇l Aksoy
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, a new single stage single phase power factor corrected and isolated AC-DC converter based on resonance and soft switching (SS) is presented. In fact, a new concept for power factor corrected converter is proposed in this study. This converter provides power factor correction (PFC) by using a switch and a fully resonant circuit. It also provides regulated and isolated output voltage with direct power transfer by using a second switch and forward and flyback topologies based on resonance. Both switches in the converter are controlled with the same closed loop and the time multiplexing, and are switched …
Online Monitoring And Accident Diagnosis Aid System For The Nur Nuclear Research Reactor,
2016
TÜBİTAK
Online Monitoring And Accident Diagnosis Aid System For The Nur Nuclear Research Reactor, Amina Nasrine Allalou, Mohamed Tadjine, Mohamed Seghir Boucherit
Turkish Journal of Electrical Engineering and Computer Sciences
This paper deals with the design of a computerized monitoring and diagnosis aid system (CMDAS) for the Nur Nuclear Research Reactor based on real-time plant-specific safety parameters. The CMDAS carries out early detection and identification of accidents that might affect this reactor using supervised neural networks. The graphical programming language LabVIEW is used for creating a human--operator interface, networking, embedding the diagnosis procedure, and handling and storing the data. The methodology presented in this paper can be adapted for any nuclear research reactor.
A Facial Component-Based System For Emotion Classification,
2016
TÜBİTAK
A Facial Component-Based System For Emotion Classification, Elena Sönmez, Songül Albayrak
Turkish Journal of Electrical Engineering and Computer Sciences
Smart environments with ubiquitous computers are the next generation of information technology, which requires improved human--computer interfaces. That is, the computer of the future must be aware of the people in its environment; it must know their identities and must understand their moods. Despite the great effort made in the past decades, the development of a system capable of automatic facial emotion recognition is still rather difficult. In this paper, we challenge the benchmark algorithm on emotion classification of the Extended Cohn-Kanade (CK$+)$ database, and we present a facial component-based system for emotion classification, which beats the given benchmark performance: …
Wideband Analysis Of Planar Scalable Antennas And Pec Bodies Using Cbfm,
2016
TÜBİTAK
Wideband Analysis Of Planar Scalable Antennas And Pec Bodies Using Cbfm, Sema Nur Koç, Adnan Köksal
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, scattering and radiation from scalable planar bodies are investigated in a wide frequency band. Characteristic basis functions (CBFs) are utilized for this purpose with a different approach. The CBFs for the body are calculated at the highest frequency of interest and reused at other frequencies. As the frequency decreases, the unnecessary CBFs are removed from the basis set. The reduced impedance matrices generated at lower frequencies are also used for the calculation of the ones at higher frequencies. As a result, a significant reduction in CPU time is obtained with the proposed method. Numerical results for the …
Stability Analysis Of An Asymmetrical Six-Phase Synchronous Motor,
2016
TÜBİTAK
Stability Analysis Of An Asymmetrical Six-Phase Synchronous Motor, Arif Iqbal, Gk Singh, Vinay Pant
Turkish Journal of Electrical Engineering and Computer Sciences
This paper deals the stability analysis of a six-phase synchronous motor using eigenvalue criteria from its linearized model, so that the small displacement stability during steady-state condition can be accessed. Eigenvalue provides a simple but effective means for the stability analysis of a motor. An association between eigenvalues and motor parameters has been established, followed by the formulation of transfer functions and plotting the root locus of system, employing the dq0 approach in the MATLAB environment.
An Innovative Peak Detection Algorithm For Photoplethysmography Signals: An Adaptive Segmentation Method,
2016
TÜBİTAK
An Innovative Peak Detection Algorithm For Photoplethysmography Signals: An Adaptive Segmentation Method, Ahmet Reşi̇t Kavsaoğlu, Kemal Polat, Mehmet Recep Bozkurt
Turkish Journal of Electrical Engineering and Computer Sciences
The purpose of this paper is twofold. The first purpose is to detect M-peaks from raw photoplethysmography (PPG) signals with no preprocessing method applied to the signals. The second purpose is to estimate heart rate variability (HRV) by finding the peaks in the PPG signal. HRV is a measure of the fluctuation of the time interval between heartbeats and is calculated based on time series between strokes derived from electrocardiogram (ECG), arterial pressure (AP), or PPG signals, separately. PPG is a method widely used to measure blood volume of tissue on the basis of blood volume change in every heartbeat. …
Finger-Vein Biometric Identification Using Convolutional Neural Network,
2016
TÜBİTAK
Finger-Vein Biometric Identification Using Convolutional Neural Network, Syafeeza Ahmad Radzi, Mohamed Khalil Hani, Rabia Bakhteri
Turkish Journal of Electrical Engineering and Computer Sciences
A novel approach using a convolutional neural network (CNN) for finger-vein biometric identification is presented in this paper. Unlike existing biometric techniques such as fingerprint and face, vein patterns are inside the body, making them virtually impossible to replicate. This also makes finger-vein biometrics a more secure alternative without being susceptible to forgery, damage, or change with time. In conventional finger-vein recognition methods, complex image processing is required to remove noise and extract and enhance the features before the image classification can be performed in order to achieve high performance accuracy. In this regard, a significant advantage of the CNN …
A New Security Relation Between Information Rate And State Size Of A Keystream Generator,
2016
TÜBİTAK
A New Security Relation Between Information Rate And State Size Of A Keystream Generator, Orhun Kara, İmran Ergüler, Emi̇n Anarim
Turkish Journal of Electrical Engineering and Computer Sciences
Wireless communication in near field applications is becoming widespread. Most of the devices such as sensor networks or RFID applications are operated in constraint environments and some of these prevalent technologies require security applications. As one conclusion, the design and analysis of lightweight cryptographic algorithms has been one of the favorite research subjects over the last decade. We have seen that mostly lightweight block ciphers have been designed as symmetric encryption algorithms. The main reason is that stream ciphers are supposed to have large internal states due to the strict requirement related to their resistance against tradeoff attacks (time--memory--data tradeoff …
Gain And Coherence Collapse Condition For A Laser Diode With Optoelectronic Feedback Using Volterra Series,
2016
TÜBİTAK
Gain And Coherence Collapse Condition For A Laser Diode With Optoelectronic Feedback Using Volterra Series, Remzi̇ Yildirim, Hüseyi̇n Canbolat
Turkish Journal of Electrical Engineering and Computer Sciences
No abstract provided.
Power Management Using Dynamic Power State Transitions And Dynamic Voltage Frequency Scaling Controls In Virtualized Server Clusters, Mohan Raj Velayudhan Kumar, Shriram Raghunathan
Turkish Journal of Electrical Engineering and Computer Sciences
No abstract provided.
Gravitational Search Algorithm For Determining Controller Parameters In An Automatic Voltage Regulator System,
2016
TÜBİTAK
Gravitational Search Algorithm For Determining Controller Parameters In An Automatic Voltage Regulator System, Serhat Duman, Nuran Yörükeren, İsmai̇l Hakki Altaş
Turkish Journal of Electrical Engineering and Computer Sciences
proportional-integral-derivate (PID) controller for an automatic voltage regulator (AVR) system using a heuristic gravitational search algorithm (GSA) based on mass interactions and Newton's law of gravity. The determination of optimal controller parameters is considered an optimization problem in which different performance indexes and a performance criterion in the time domain have been used as objective functions to test the performance and effectiveness of the GSA. In the determining process of the parameters, the designed PID controller with the proposed approach is simulated under different conditions and the performance of the controller is compared with those reported in the literature. From …
