Genetic Programming-Based Pseudorandom Number Generator For Wireless Identification And Sensing Platform,
2018
TÜBİTAK
Genetic Programming-Based Pseudorandom Number Generator For Wireless Identification And Sensing Platform, Cem Kösemen, Gökhan Dalkiliç, Ömer Aydin
Turkish Journal of Electrical Engineering and Computer Sciences
The need for security in lightweight devices such as radio frequency identification tags is increasing and a pseudorandom number generator (PRNG) constitutes an essential part of the authentication protocols that provide security. The main aim of this research is to produce a lightweight PRNG for cryptographic applications in wireless identification and sensing platform family devices, and other related lightweight devices. This PRNG is produced with genetic programming methods using entropy calculation as the fitness function, and it is tested with the NIST statistical test suite. Moreover, it satisfies the requirements of the EPCGen2 standards.
Dynamic Cpu Scheduling For Load Balancing In Virtualized Environments,
2018
TÜBİTAK
Dynamic Cpu Scheduling For Load Balancing In Virtualized Environments, Suresh Chandra Moharana, Sibani Samal, Amulya Ratna Swain, Ganga Bishnu Mund
Turkish Journal of Electrical Engineering and Computer Sciences
In the modern era of computing, the cloud computing platform became popular with its on-demand resource scalability feature. Virtualization is the key technology to achieve resource scalability in the cloud environment. Virtual machine monitors (VMMs) like Xen and KVM are the enabling tools for virtualizing the resources in the cloud environment. The major role of VMMs is to map virtual CPUs of virtual machines to physical CPUs, popularly known as CPU scheduling. In this study, we analyzed the CPU scheduler of Xen VMM, called Credit CPU scheduler, with respect to CPU utilization. In order to maximize the physical CPU utilization …
Extended Correlated Principal Component Analysis With Svm-Puk In Opinion Mining,
2018
TÜBİTAK
Extended Correlated Principal Component Analysis With Svm-Puk In Opinion Mining, Kollimarla Anusha Devi, Deepak Chowdary Edara, Venkatrama Phani Kumar Sistla, Venkata Krishna Kishore Kolli
Turkish Journal of Electrical Engineering and Computer Sciences
With the rapid growth of microblogs and online sites, an inordinate number of product reviews are available on the Internet. They not only help in analyzing, but also assist in making informed decisions about product quality. In the proposed work, an extended correlated principal component analysis (ECPCA) is used for dimensionality reduction. A comparative analysis is conducted on movie reviews (DB-1) and Twitter datasets (DB-2 and DB-3) in opinion mining extraction. The performance of naive Bayes, CHIRP, and support vector machine (SVM) with kernel methods such as radial basis function (RBF), polynomial, and Pearson (PUK) are compared and analyzed on …
Enlarging Multiword Expression Dataset By Co-Training,
2018
TÜBİTAK
Enlarging Multiword Expression Dataset By Co-Training, Senem Kumova Meti̇n
Turkish Journal of Electrical Engineering and Computer Sciences
In multiword expressions (MWEs), multiple words unite to build a new unit in language. When MWE identification is accepted as a binary classification task, one of the most important factors in performance is to train the classifier with enough number of labelled samples. Since manual labelling is a time-consuming task, the performances of MWE recognition studies are limited with the size of the training sets. In this study, we propose the comparison-based and common-decision co-training approaches in order to enlarge the MWE dataset. In the experiments, the performances of the proposed approaches were compared to those of the standard co-training …
Forecasting Of Short-Term Wind Speed At Different Heights Using A Comparative Forecasting Approach,
2018
TÜBİTAK
Forecasting Of Short-Term Wind Speed At Different Heights Using A Comparative Forecasting Approach, Emrah Korkmaz, Ercan İzgi̇, Sali̇h Tutun
Turkish Journal of Electrical Engineering and Computer Sciences
The forecasting of wind speed with high accuracy has been a very significant obstacle to the enhancement of wind power quality, for the volatile behavior of wind speed makes forecasting difficult. In order to generate more reliable wind power and to determine the best model for different heights, wind speed needs to be predicted accurately. Recent studies show that soft computing approaches are preferred over physical methods because they can provide fast and reliable techniques to forecast short-term wind speed. In this study, a multilayer perceptron neural network and an adaptive neural fuzzy inference system are utilized to both forecast …
Incremental Banerjee Test Conditions Committing For Robust Parallelization Framework,
2018
TÜBİTAK
Incremental Banerjee Test Conditions Committing For Robust Parallelization Framework, Aimad Eddine Debbi, Haddi Bakhti
Turkish Journal of Electrical Engineering and Computer Sciences
This paper describes the design of an automatic parallelization framework. The kernel supplied at its front end was suggested as an instrument for parallel potential assessment. It was used to measure the maximum achievable speedups in the major set of the CHStone benchmark suite programs. In such framework, we suggested the liberation of parallelism incrementally. We proposed a data dependency heuristic-based transformation method to make true dependences dissociation. We generated an internal representation ($ IR^{2} $), where the Banerjee test conditions are met. Two among three of Banerjee test conditions came to be committed. In shared memory many/multicore platforms, the …
Path Planning And Energy Flow Control Of Wireless Power Transfer For Sensor Nodes In Wireless Sensor Networks,
2018
TÜBİTAK
Path Planning And Energy Flow Control Of Wireless Power Transfer For Sensor Nodes In Wireless Sensor Networks, Chenyang Xia, Yang Zhang, Yuling Liu, Kezhang Lin, Jun Chen
Turkish Journal of Electrical Engineering and Computer Sciences
In wireless sensor networks (WSNs), limited-capacity batteries are generally used for powering sensor nodes, where unbalanced electricity is the primary cause of premature death of WSNs. In this paper, wireless power transfer networks are used to power batteries in WSNs to avoid the problem of limited lifetime of traditional limited-capacity batteries. Furthermore, path planning based on the Dijkstra algorithm, which aims at minimizing the overall energy consumption in the network to improve system efficiency, is discussed in detail. Finally, three power transfer models with low contention level (LCL) topology for energy flow control are experimentally validated from the optimal path.
Optimization Of Large Electric Power Distribution Using A Parallel Genetic Algorithm With Dandelion Strategy,
2018
TÜBİTAK
Optimization Of Large Electric Power Distribution Using A Parallel Genetic Algorithm With Dandelion Strategy, Jorge Sabattin, Guillermo Fuertes, Miguel Alfaro, Luis Quezada, Manuel Vargas
Turkish Journal of Electrical Engineering and Computer Sciences
The study of electrical distribution of primary networks design is oriented to reduce the construction costs and the energy losses by transmission. The topology for the implementation of distribution networks may vary according to the geographical characteristics of the final users and requires specialized optimization solutions with metaheuristics to improve the energy performance of the electrical power systems. A parallel genetic algorithm (PGA) is proposed to optimize a tree-based topology for large-scale electric power distribution networks. The proposed PGA uses the dandelion code, which allows obtaining tree-feasible solutions within each iteration of the PGA. This cannot be achieved with other …
Robust Restoration Of Distribution Systems Considering Dg Units And Direct Load Control Programs,
2018
TÜBİTAK
Robust Restoration Of Distribution Systems Considering Dg Units And Direct Load Control Programs, Abolfazl Asadi, Mahmud Fotuhi Firuzabad
Turkish Journal of Electrical Engineering and Computer Sciences
This paper presents a new method for restoration of distribution networks after a fault occurrence. This problem is solved from the viewpoint of the distribution system operator with the main goal of minimizing the operating cost during the fault clearance period. The effects of distributed generation (DG) units and direct load control (DLC) programs are considered in designing the proposed restoration procedure. Moreover, the uncertainties associated with the predicted loads of different nodes and the availability of DG are modeled here. Robust optimization is used to model the uncertainties of restoration problems and manage their associated risks. Finally, a robust …
Performance Evaluation Of Alumina Trihydrate And Silica-Filled Silicone Rubber Composites For Outdoor High-Voltage Insulations,
2018
TÜBİTAK
Performance Evaluation Of Alumina Trihydrate And Silica-Filled Silicone Rubber Composites For Outdoor High-Voltage Insulations, Hidayatullah Khan, Muhammad Amin, Ayaz Ahmad
Turkish Journal of Electrical Engineering and Computer Sciences
In recent years, silicone rubber-based composites have been widely investigated for outdoor applications due to their promising insulating properties. However, mechanical, thermal, and tracking properties of pure silicone rubber are very poor, which restrains its application for long-term performance. In this research work, the influence of microsized alumina trihydrate (ATH) and micro/nanosized silica (SiO$_{2})$ fillers on mechanical, thermal, and electrical properties of room temperature vulcanized silicone rubber (RTV-SiR) has been studied. SiR-blends with varying amounts of ATH and SiO$_{2}$ particles were prepared by blending in a two-roll mixing mill, compression molding, and postcuring processes in sequence. In order to evaluate …
Full Bridge Converter Based Independent Phase Control Of A Permanent Magnet Reluctance Generator For Wind Power Conversion Systems, Erkan Sunan, Fuat Küçük
Turkish Journal of Electrical Engineering and Computer Sciences
A Permanent Magnet Reluctance Generator (PMRG) possesses important features such as simplicity and low cost. Absence of rotor winding allows the generator to run in a wide speed range. The PMRG may have potential to be used in wind power conversion systems. An asymmetric half bridge (AHB) converter may be acceptable as a classical converter topology for PMRGs and offers independent phase control. The AHB converter with a torque ripple minimization-assisted maximum power point tracking algorithm not only provides significant torque ripple reduction on the mechanical side but also allows conversion of maximum wind energy to electrical energy. The major …
Design Of A Multiagent-Based Smart Microgrid System For Building Energy And Comfort Management,
2018
TÜBİTAK
Design Of A Multiagent-Based Smart Microgrid System For Building Energy And Comfort Management, Batyrkhan Omarov, Aigerim Altayeva
Turkish Journal of Electrical Engineering and Computer Sciences
Modern intelligent control system design methodology in the electric power industry and their features are considered when providing the required comfort in multizone buildings with the use of multiagent power consumption and comfort management systems. Such a control system covers all the monitored zones of a building and, if necessary, can provide the greatest possible overall comfort in the building while reducing the required electric power. The purpose of this study was to develop a comfort management system in a multizoned building that can provide comfort while reducing the required electric power.
An Analysis Of Centennial Wind Power Targets Of Turkey,
2018
TÜBİTAK
An Analysis Of Centennial Wind Power Targets Of Turkey, Egemen Sulukan
Turkish Journal of Electrical Engineering and Computer Sciences
Wind power has become one of the cost-effective options for improving the energy mix, while the wind farm installations reach higher shares by new capacity additions in Turkey, similar to many other countries, in order to support the sustainable development targets. Various methodologies are implemented and applied for planning and optimizing energy systems of countries, taking into consideration the energy, economy, and ecology aspects as a whole. The objective of this paper is to demonstrate the implications of "2023 energy targets" policy in terms of wind power. A futuristic scenario was tailored and applied to a comprehensive energy model for …
A Novel Frt Strategy Based On An Analytical Approach For Pmsg-Based Wind Turbines With Ess Power Rating Reduction,
2018
TÜBİTAK
A Novel Frt Strategy Based On An Analytical Approach For Pmsg-Based Wind Turbines With Ess Power Rating Reduction, Farid Atashbahar, Ali Ajami, Hossein Mokhtari, Hossein Hojabri
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper an analytical approach is proposed to formulate the proper set of phase currents reference to ride the permanent magnet synchronous generator (PMSG)-based wind turbine (WT) through faults properly, regardless of fault type. Hence, the WT is forced to inject required reactive current by grid codes together with active power injection, to help support grid frequency during faults and reduce the energy storage system (ESS) power rating. Moreover, it prevents pulsating active power injection to the grid. During grid faults, the DC-link voltage is controlled by the ESS instead of the grid-side converter (GSC) and the GSC controller …
A New Technique For Optimum Excitation Of Switched Reluctance Motor Drives Over A Wide Speed Range,
2018
TÜBİTAK
A New Technique For Optimum Excitation Of Switched Reluctance Motor Drives Over A Wide Speed Range, Mahmoud Hamouda, László Számel
Turkish Journal of Electrical Engineering and Computer Sciences
Optimum performance of switched reluctance motors (SRMs) over a wide range of speed control is an essential approach for many industrial applications. However, the doubly salient structure and deep magnetic saturation make magnetization characteristics of SRMs a highly nonlinear function of rotor position and current magnitude. This, in turn, makes the control of SRM drives a challenging task. As the control of SRMs depends on the inductance profile, it requires an adaptive control technique for optimum operation over a wide range of operating speeds. This paper presents an adaptive control technique for optimum excitation of SRM drives. The proposed control …
Detecting Slow Wave Sleep And Rapid Eye Movement Stage Using Cortical Effective Connectivity,
2018
TÜBİTAK
Detecting Slow Wave Sleep And Rapid Eye Movement Stage Using Cortical Effective Connectivity, Aminollah Glorou, Ali Sheikhani, Ali Motie Nasrabadi, Mohammad Reza Saebipour
Turkish Journal of Electrical Engineering and Computer Sciences
In recent neuroimaging research, there has been considerable interest in identifying neuromarkers of sleep. Automatic slow wave sleep (SWS) and rapid eye movement (REM) are two known phases of sleep. However, the level by which those changes contribute to brain interactions has not been well characterized. In recent years, it has been shown that brain connectivity measuring can be helpful in investigation of behavioral states of the brain. By considering the fact that brains have different states in different stages of sleep, the present work employs effective connectivity and machine-learning analysis to quantify and classify SWS and REM stages of …
Comparative Analysis Of Mabc With Knn, Som, And Aco Algorithms For Ecg Heartbeat Classification,
2018
TÜBİTAK
Comparative Analysis Of Mabc With Knn, Som, And Aco Algorithms For Ecg Heartbeat Classification, Seli̇m Di̇lmaç, Zümray Ölmez, Tamer Ölmez
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, we proposed a classification method based on a nature-inspired algorithm, i.e., modified artificial bee colony (MABC). This method was applied to electrocardiogram (ECG) heartbeat classification. ECG data was obtained from MITBIH database. Eight different types of heartbeats (N, j, V, F, f, A, a, and R) were analyzed. For a better classification result, both time domain and frequency domain features were used. Feature selection was done by divergence analysis. MABC classification accuracy and heartbeat sensitivity values were compared with the results of other methods. Among other classifiers, k-nearest neighbor (KNN), Kohonen's self-organizing map (SOM), and ant colony …
An Algorithm For Image Restoration With Mixed Noise Using Total Variation Regularization,
2018
TÜBİTAK
An Algorithm For Image Restoration With Mixed Noise Using Total Variation Regularization, Cong Thang Pham, Guilhem Gamard, Andrei Kopylov, Thi Thu Thao Tran
Turkish Journal of Electrical Engineering and Computer Sciences
We present here an effective scheme for image denoising based on total variation regularization. The proposed scheme allows to efficiently remove Poisson noise as well as Gaussian noise simultaneously with the help of a new kind of data fidelity term, suitable for the mixed Poisson - Gaussian noise model. The results show that the algorithm corresponding to our new scheme outperforms the existing methods for mixed Poisson - Gaussian noise removal.
An Adaptive Machine Learning-Based Qoe Approach In Sdn Context For Video-Streaming Services,
2018
TÜBİTAK
An Adaptive Machine Learning-Based Qoe Approach In Sdn Context For Video-Streaming Services, Asma Ben Letaifa
Turkish Journal of Electrical Engineering and Computer Sciences
In data service applications over the Internet, user perception and satisfaction can be assessed by quality of experience (QoE) metrics. QoE depends both on the users' perception and the used service, which together form end-to-end metrics. While network optimization has traditionally focused on optimizing network properties such as QoS, we focus in this work on optimizing end-to-end QoE metrics with the aim to deliver to the client a good QoE that can be monitored in real time. We argue that end-user QoE is a relevant measurement for network operators and service providers. In this paper, we present a machine learning …
Reconstruction Of Geometrical And Reflection Properties Of Surfaces By Using Structured Light Imaging Technique,
2018
TÜBİTAK
Reconstruction Of Geometrical And Reflection Properties Of Surfaces By Using Structured Light Imaging Technique, Şükrü Ozan, Şevket Gümüşteki̇n
Turkish Journal of Electrical Engineering and Computer Sciences
When a robust and dense surface reconstruction is aimed, structured light imaging techniques are usually much appreciated. In this paper we propose a method to reconstruct both geometrical and reflective properties of surfaces by using structured light imaging. We use a technique where a camera and a projector are both treated as viewing devices. They are calibrated in the same manner. Each visible point can be correctly located on both image planes without solving a correspondence problem; hence, a dense reconstruction can be obtained. Since both the camera and the projector are explicitly calibrated, lighting and viewing directions can be …
