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Articles 2101 - 2130 of 5279
Full-Text Articles in Computer Sciences
Automated Testing For Distributed Databases With Fuzzy Fragment Reallocation, Akhan Akbulut, Gözde Karataş
Automated Testing For Distributed Databases With Fuzzy Fragment Reallocation, Akhan Akbulut, Gözde Karataş
Turkish Journal of Electrical Engineering and Computer Sciences
As the Internet and big data become more widespread, relational database management systems (RDBMSs) become increasingly inadequate for web applications. To provide what RDBMSs cannot, during the past 15 years distributed database systems (DDBSs) have thus emerged. However, given the complicated structure of these systems, the methods used to validate the efficiency of databases, all towards ensuring quality and security, have become diversified. In response, this paper demonstrates a system for performing automated testing with DDBSs, given that testing is significant in software verification and that accredited systems are more productive in business environments. The proposed system applies several tests …
Choice Of Battery Energy Storage For A Hybrid Renewable Energy System, Kusum Lata Tharani, Ratna Dahiya
Choice Of Battery Energy Storage For A Hybrid Renewable Energy System, Kusum Lata Tharani, Ratna Dahiya
Turkish Journal of Electrical Engineering and Computer Sciences
There are certain unelectrified villages across the Indian subcontinent where providing supply through the grid is difficult due to forest cover or mountainous terrain. The most feasible option is to provide off-grid electrification through renewable energy resources such as solar or wind energy. These intermittent sources do not promise a 24 $\times $ 7 supply system. Thus, along with solar or wind energy systems, it becomes important to use a renewable resource, such as biomass, which is available in abundance in rural areas. The need for battery energy storage becomes mandatory in order to store the surplus energy produced by …
Design And Implementation Of A New Speed Planner For Semiautonomous Systems, Mustafa Demi̇r, Volkan Sezer
Design And Implementation Of A New Speed Planner For Semiautonomous Systems, Mustafa Demi̇r, Volkan Sezer
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, a new speed planning method is developed for semiautonomous systems by improving our previous fuzzy logic-based approach. In this proposed method, an extended risk factor is calculated on top of the classical risk factor, using environmental factors and the user's speed reference. We obtain safer speed values in critical scenarios with this new extended risk factor definition. Another improvement comes from the design of the semiautonomous architecture. Instead of the fully autonomous solution of the previous work, we calculate the final speed reference by combining the risk factor-based speed value and user's speed reference, which provides a …
Volumetric 3d Reconstruction Of Real Objects Using Voxel Mapping Approach In A Multiple-Camera Environment, Tushar Jadhav, Kulbir Singh, Aditya Abhyankar
Volumetric 3d Reconstruction Of Real Objects Using Voxel Mapping Approach In A Multiple-Camera Environment, Tushar Jadhav, Kulbir Singh, Aditya Abhyankar
Turkish Journal of Electrical Engineering and Computer Sciences
Extracting 3D information from 2D images is an inverse estimation problem and a challenging task in itself. The aim of 2D to 3D reconstruction is to generate either a volume or a surface representing the object from multiple views. This paper presents a simple and accurate multiple-view volumetric 3D reconstruction method using an integrated approach based on homography estimation and voxel mapping. The homography-based approaches give accurate estimates but do not provide system dynamics. The voxel-based volumetric reconstruction methods provide system dynamics that are essential for system modeling. However, they face challenges while modeling the concavities. This paper presents a …
A Novel Solution In The Simultaneous Deep Optimization Of Rgb-D Camera Calibration Parameters Using Metaheuristic Algorithms, Amir Safaei, Saeid Fazli
A Novel Solution In The Simultaneous Deep Optimization Of Rgb-D Camera Calibration Parameters Using Metaheuristic Algorithms, Amir Safaei, Saeid Fazli
Turkish Journal of Electrical Engineering and Computer Sciences
This article presents a novel method for estimating 19 parameters of RGB and depth camera calibration simultaneously. The proposed algorithm is based on applying metaheuristic methods for deep optimization and estimating all parameters of intrinsic, extrinsic, and lens distortions of cameras. This paper compares four metaheuristic algorithms, i.e. a genetic algorithm, particle swarm optimization, the colonial competitive algorithm, and the shuffled frog leaping algorithm, with a numerical algorithm called singular value decomposition. The proposed method does not need the initial estimation for optimization and it can avoid being trapped in local minima. By using nondirect estimation, we achieve middle computing …
Qrmw: Quantum Representation Of Multi Wavelength Images, Engi̇n Şahi̇n, İhsan Yilmaz
Qrmw: Quantum Representation Of Multi Wavelength Images, Engi̇n Şahi̇n, İhsan Yilmaz
Turkish Journal of Electrical Engineering and Computer Sciences
In this study, we propose quantum representation of multiwavelength images (QRMW) that gives preparation and retrieving procedures of quantum images. The proposed QRMW model represents multichannel and $2^{n}\times 2^{m}$ images. Moreover, we present image comparison and some image operations based on the QRMW model. Comparing our model with the models in the literature, the QRMW model has less time complexity. It also uses fewer qubits than existing models in the literature.
Nonintrusive Identification Of Residential Appliances Using Harmonic Analysis, Srdjan Djordjevic, Milan Simic
Nonintrusive Identification Of Residential Appliances Using Harmonic Analysis, Srdjan Djordjevic, Milan Simic
Turkish Journal of Electrical Engineering and Computer Sciences
The role of nonintrusive load monitoring (NILM) is to identify the operating schedules of individual appliances and their power consumption from single-point electrical measurements. This paper discusses appliance load monitoring based on the harmonic analysis of the steady-state current, which is specifically suited for identification of nonlinear appliances. The existing harmonic-based NILM methods have limited applicability due to the fact that their complexity increases exponentially with the number of target appliances. In order to overcome this problem, this study suggests the use of the step changes of current harmonic phasors as a feature for appliance detection. The key benefit of …
Insider Threat Detection Of Adaptive Optimization Dbn For Behavior Logs, Jiange Zhang, Yue Chen, Ankang Ju
Insider Threat Detection Of Adaptive Optimization Dbn For Behavior Logs, Jiange Zhang, Yue Chen, Ankang Ju
Turkish Journal of Electrical Engineering and Computer Sciences
For the problems of insider threats such as great harm due to damage and resultant loss, difficulty in extracting abnormal behavior features of insiders because of transparency and concealment, and low detection rate, an insider threat detection model using adaptive optimization DBN for behavior logs is put forward. The model carries out deep learning based on the integrated and normalized behavior logs to fully learn normal and abnormal behavior features of insiders to form optimal representations of the behavior features of insiders. The experimental results show that the multiple-hidden-layer deep learning model can fully learn the behavior features of insiders, …
Upper Envelope Detection Of Ecg Signals For Baseline Wander Correction: A Pilot Study, Mohammed Assam Ouali, Mouna Ghanai, Kheireddine Chafaa
Upper Envelope Detection Of Ecg Signals For Baseline Wander Correction: A Pilot Study, Mohammed Assam Ouali, Mouna Ghanai, Kheireddine Chafaa
Turkish Journal of Electrical Engineering and Computer Sciences
Baseline wander (BW) is a common low frequency artifact in electrocardiogram (ECG) signals. The prime cause from which BW arises is the patient's breathing and movement. To facilitate reliable visual interpretation of the ECG and to discern particular patterns in the ECG signal, BW needs to be removed. In this paper, a novel BW removal method is presented. The hypothesis is based on the observation that ECG signal variation covaries with its BW. As such, the P, Q, R, S, and T peaks will follow the baseline drift. On this basis, the following proposition is true: a reliable approximation of …
Relation Extraction Via One-Shot Dependency Parsing On Intersentential, Higher-Order, And Nested Relations, Gözde Gül Şahi̇n, Erdem Emekli̇gi̇l, Seçi̇l Arslan, Onur Ağin, Gülşen Eryi̇ği̇t
Relation Extraction Via One-Shot Dependency Parsing On Intersentential, Higher-Order, And Nested Relations, Gözde Gül Şahi̇n, Erdem Emekli̇gi̇l, Seçi̇l Arslan, Onur Ağin, Gülşen Eryi̇ği̇t
Turkish Journal of Electrical Engineering and Computer Sciences
Despite the emergence of digitalization, people still interact with institutions via traditional means such as submitting free formatted petitions, orders, or applications. These noisy documents generally consist of complex relations that are nested, higher-order, and intersentential. Most of the current approaches address extraction of only sentence-level and binary relations from grammatically correct text and generally require high-level linguistic features coming from preprocessors such as a parts-of-speech tagger, chunker, or syntactic parser. In this article, we focus on extracting complex relations in order to automate the task of understanding user intentions. We propose a novel language-agnostic and noise-immune approach that does …
Improved Iir-Type Fractional Order Digital Integrators Using Cat Swarm Optimization, Shibendu Mahata, Suman Kumar Saha, Rajib Kar, Durbadal Mandal
Improved Iir-Type Fractional Order Digital Integrators Using Cat Swarm Optimization, Shibendu Mahata, Suman Kumar Saha, Rajib Kar, Durbadal Mandal
Turkish Journal of Electrical Engineering and Computer Sciences
Design of wideband infinite impulse response (IIR) digital fractional order integrators (DFOIs) based on a bio-inspired metaheuristic optimization approach called the cat swarm optimization (CSO) algorithm is presented in this paper. To investigate the efficiency of the proposed approach, the CSO-based DFOIs are evaluated against those of the approximations designed using real-coded genetic algorithm (RGA), standard particle swarm optimization (PSO), and differential evolution (DE) by different magnitude and phase response error metrics. Simulation results reveal the better frequency response of the CSO-based DFOIs in comparison with the competing designs. Both parametric and nonparametric statistical hypothesis tests validate the performance consistency …
Data Clustering Using Ede, An Enhanced Differential Evolution Algorithm With Fuzzy C-Means Technique, Meera Ramadas, Ajith Abraham
Data Clustering Using Ede, An Enhanced Differential Evolution Algorithm With Fuzzy C-Means Technique, Meera Ramadas, Ajith Abraham
Turkish Journal of Electrical Engineering and Computer Sciences
Clustering is the way toward sorting out items into groups whose individuals are comparative somehow. It is a gathering of articles that are intelligent inside, yet unmistakably not at all like the items having a place with different groups. Clustering of data plays a major part in efficient customer segmentation, organization of documents, information retrieval, extraction of topics, classification, collaborative filtering, visualization, and indexing. In the area of information retrieval systems, evolutionary algorithms work in a robust and efficient manner for clustering. To overcome the problem of local maxima, various nature-inspired metaheuristic algorithms like particle swarm optimization, artificial bee colony, …
Wide Bandwidth Cmos Four-Quadrant Mixed Mode Analogue Multiplier Using A Second Generation Current Conveyor Circuit, Thouraya Ettaghzouti, Nejib Hassen, Karima Garradhi, Kamel Besbes
Wide Bandwidth Cmos Four-Quadrant Mixed Mode Analogue Multiplier Using A Second Generation Current Conveyor Circuit, Thouraya Ettaghzouti, Nejib Hassen, Karima Garradhi, Kamel Besbes
Turkish Journal of Electrical Engineering and Computer Sciences
This paper presents a new realization for a CMOS four-quadrant analogue multiplier. The proposed circuit is composed of three second generation current conveyor circuits (CCII), two NMOS transistors operating in the linear region, and four passive resistances. It can be operated in current mode and voltage mode without changing the circuit topology. The simulations results of the proposed mixed mode multiplier are verified by TSPICE simulator based on the BSIM3v3 transistor model for TSMC 0.18 $\mu $m CMOS process available from MOSIS at 25 $^{\circ}$C with $\pm $0.8 V supply voltage. Through the use of resistive compensation with different passive …
Investigation On Optimal Parameter Selection For Llc Half-Bridge Resonant Converter Based On Fha, Jianguang Ma, Xueye Wei, Liang Hu, Wenting Jia
Investigation On Optimal Parameter Selection For Llc Half-Bridge Resonant Converter Based On Fha, Jianguang Ma, Xueye Wei, Liang Hu, Wenting Jia
Turkish Journal of Electrical Engineering and Computer Sciences
The LLC half-bridge resonant converter has attracted extensive research attention due to its advantages of achieving high efficiency and high power density. However, the resonant process is more complicated, where the main difficulty is to precisely calculate resonant parameters. In this paper, the fundamental harmonic approximation (FHA) method is employed to analyze the resonant process of the converter. In particular, the working mode and the mathematical model of the LLC half-bridge resonant converter are established, where a new method is proposed to determine the operating frequency of LLC based on voltage gain and transformer loss. Based on the proposed method, …
Optimizing Fpga-Based Cnn Accelerator For Energy Efficiency With An Extended Roofline Model, Sayed Omid Ayat, Mohamed Khalil-Hani, Ab Al-Hadi Ab Rahman
Optimizing Fpga-Based Cnn Accelerator For Energy Efficiency With An Extended Roofline Model, Sayed Omid Ayat, Mohamed Khalil-Hani, Ab Al-Hadi Ab Rahman
Turkish Journal of Electrical Engineering and Computer Sciences
In recent years, the convolutional neural network (CNN) has found wide acceptance in solving practical computer vision and image recognition problems. Also recently, due to its flexibility, faster development time, and energy efficiency, the field-programmable gate array (FPGA) has become an attractive solution to exploit the inherent parallelism in the feedforward process of the CNN. However, to meet the demands for high accuracy of today's practical recognition applications that typically have massive datasets, the sizes of CNNs have to be larger and deeper. Enlargement of the CNN aggravates the problem of off-chip memory bottleneck in the FPGA platform since there …
Concurrency Control Algorithms For Deduplicated Cloud Storage, Prabavathy Balasundaram, Chitra Babu
Concurrency Control Algorithms For Deduplicated Cloud Storage, Prabavathy Balasundaram, Chitra Babu
Turkish Journal of Electrical Engineering and Computer Sciences
Deduplication of data is essential to effectively use cloud storage. As the metadata in deduplicated cloud storage are shared across multiple users, concurrent updates may result in inconsistencies. A coarse-grained locking strategy that has been proposed earlier to overcome this difficulty is not suited for inline deduplication owing to poor performance. In the present work, a fine-grained locking strategy that overcomes this shortcoming is proposed. A metadata structure along with a set of concurrent control mechanisms to accomplish this is presented. This strategy is shown to improve the throughput by as much as 60% with only marginal lock overhead.
Transient- And Probabilistic Neural Network-Based Fault Classification In Ehv Three-Terminal Lines, Ravi Kumar Varma Bhupatiraju, Venkata Sesha Samba Siva Sarma Dhanikonda, Venkata Ramana Rao Pulipaka
Transient- And Probabilistic Neural Network-Based Fault Classification In Ehv Three-Terminal Lines, Ravi Kumar Varma Bhupatiraju, Venkata Sesha Samba Siva Sarma Dhanikonda, Venkata Ramana Rao Pulipaka
Turkish Journal of Electrical Engineering and Computer Sciences
This paper presents a fast and accurate fault classifier for three-terminal transmission circuits. Traditional phasor-based methods fail to meet the high speed requirements of modern power grids and necessitate alternative solutions. The transient-based schemes use advanced signal processing techniques to achieve fast and accurate fault classification. As the three-terminal lines experience very pronounced transients during faults, the proposed method makes use of the fault-generated transients to quickly and correctly classify the fault. Many transient-based schemes fail to give the required accuracy since the transient patterns with relay-measured signals are highly influenced by fault conditions. Therefore, a thorough analysis of transient …
An Adaptive Fault Diagnosis Approach Using Pipeline Implementation For Railway Inspection, Yunus Santur, Mehmet Karaköse, Erhan Akin
An Adaptive Fault Diagnosis Approach Using Pipeline Implementation For Railway Inspection, Yunus Santur, Mehmet Karaköse, Erhan Akin
Turkish Journal of Electrical Engineering and Computer Sciences
Railway tracks must be periodically inspected. This study proposes a new approach for eliminating two major disadvantages experienced during rail inspection applications performed via computer vision. The first is the blurring effect on images, resulting from physical vibration during movement on the rail lines. This effect significantly reduces the high accuracy rate expected from anomaly inspection algorithms. The second disadvantage is the need to operate in real time. This study presents a new three-stage computer vision method approach that eliminates both disadvantages. First, a three-stage pipeline architecture is implemented and IMU-assisted blur detection is performed on images taken from the …
High-Speed Switched Reluctance Machine: Natural Frequency Calculation And Acoustic Noise Prediction, Yusuf Yaşa, Yilmaz Sözer, Muhammet Gari̇p
High-Speed Switched Reluctance Machine: Natural Frequency Calculation And Acoustic Noise Prediction, Yusuf Yaşa, Yilmaz Sözer, Muhammet Gari̇p
Turkish Journal of Electrical Engineering and Computer Sciences
In this study, an analytical model is proposed for natural frequency calculation and acoustic noise prediction for high speed switched reluctance machines. The developed natural frequency model results are compared with the mechanical finite element analysis results in terms of 6 different mode shapes that cause the majority of the acoustic noise in switched reluctance machines. The results show that the analytical results are consistent with the numerical method results with minimum 90% matching. Based on the natural frequency calculation model, a new acoustic noise prediction method is developed that only needs a radial force waveform as an input emerging …
Simplification Of Harmonics Filter For A Matrix Converter-Based Drive, Gytis Petrauskas, Gytis Svinkunas, Rasa Juraskiene
Simplification Of Harmonics Filter For A Matrix Converter-Based Drive, Gytis Petrauskas, Gytis Svinkunas, Rasa Juraskiene
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, an analysis of the interaction between the switching ripple filter components of a matrix converter-based drive and the components of a 0.4-kV electrical grid is presented. Based on the analysis, we propose a simplification of the conventional LCR filter. An inductance of the power grid transformer windings and an impedance of the power distribution lines could be considered as a filter component. Stemming from the above, a simplification of the filter topology is proposed. Only the capacitance component is necessary for realizing a conventional LCR filter. The effectiveness of this simplification is demonstrated through calculations, simulations performed …
Design And Comparison Of Embedded Air Coils For Small Satellites, Anwar Ali, Zeeshan Mukhtar, Khalil Ullah, Leonardo Reyneri
Design And Comparison Of Embedded Air Coils For Small Satellites, Anwar Ali, Zeeshan Mukhtar, Khalil Ullah, Leonardo Reyneri
Turkish Journal of Electrical Engineering and Computer Sciences
The paper discusses the comparison of different shapes of embedded air coils for the attitude control of small satellites. Various systems are available in the market for the attitude control of small satellites such as reaction wheels, permanent magnets, magnetic rods, and thrusters. The available systems have large size, heavier weight, and relatively higher power consumption. A miniaturized system with less power consumption and heat dissipation is required that can provide the anticipated torque. This paper focuses on the design and comparison of square and circular air coils embedded in four internal layers (i.e. 2nd, 3rd, 4th, and 5th) of …
Electronically Tunable Grounded/Floating Inductance Simulators Using Z-Copy Cfccc, Alok Kumar Singh, Pragati Kumar, Raj Senani
Electronically Tunable Grounded/Floating Inductance Simulators Using Z-Copy Cfccc, Alok Kumar Singh, Pragati Kumar, Raj Senani
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, new electronically tunable grounded and floating inductance simulators employing a Z-copy current follower current controlled conveyor (CFCCC) and one grounded capacitor have been proposed and their workability has been demonstrated by PSPICE simulations in 0.18-$\mu $m TSMC CMOS technology.
Prediction Of The Mass Unbalance Of A Variable Speed Induction Motor By Stator Current Multiple Approaches, Abdelkarim Bouras, Slimane Bouras, Samir Kerfali
Prediction Of The Mass Unbalance Of A Variable Speed Induction Motor By Stator Current Multiple Approaches, Abdelkarim Bouras, Slimane Bouras, Samir Kerfali
Turkish Journal of Electrical Engineering and Computer Sciences
Generally, rotor mass unbalance is one of the most probable causes of the majority of degradations suffered by electric drives in an industrial environment (current pumping, rolling problem, misalignment, etc.), especially those with high power and variable speed. This document is an experimental contribution to the reliable detection of mass unbalance and changes in its severity if, by necessity of service, the system is subjected to a speed variation. The implementation of the technical orbits Park, strengthened by the application of the Fourier transforms (FFT, STFT) to the Park vector of the stator current allowed the identification of the unbalance …
Unit Commitment Considering The Emergency Demand Response Programs And Interruptible/Curtailable Loads, Javad Nikoukar
Unit Commitment Considering The Emergency Demand Response Programs And Interruptible/Curtailable Loads, Javad Nikoukar
Turkish Journal of Electrical Engineering and Computer Sciences
After restructuring the power systems, demand response programs form the main part of consumption management programs. This is because these programs are by nature particularly suitable for adapting to the new structure in power system management. These programs are considered as a suitable solution for solving some problems in power system restructuring. Unit commitment (UC) programs are used for power production with minimum cost. In this paper, after presenting an overview of demand response methods, a mechanism is proposed for simultaneous execution of the UC program, emergency demand response programs, and interruptible/curtailable loads. The proposed mechanism, in addition to decreasing …
Measurement Of Active Power, Electrical Energy, And Trms Voltage And Current Using The Dual Slope Conversion Technique, Khaoula Khlifi, Ahlem Ayari, Amira Haddouk, Hfaiedh Mechergui
Measurement Of Active Power, Electrical Energy, And Trms Voltage And Current Using The Dual Slope Conversion Technique, Khaoula Khlifi, Ahlem Ayari, Amira Haddouk, Hfaiedh Mechergui
Turkish Journal of Electrical Engineering and Computer Sciences
We have exploited the dual slope (DS) conversion technique to realize an intelligent system with high resolution that ensures active power measurement and electrical energy consumption. The load power is suited by two Hall effect current and voltage transducers, which are associated upstream with a precision analogue multiplier. A DS analogue-to-digital converter (DS-ADC) performs the conversion by rejecting noise with a conversion time that is multiple frequencies of the ADC's first slope. The digital acquisition is made by a PIC 16F877 using a management algorithm ensuring the control, acquisition, and treatment of information. Results are displayed on a 2-line and …
Electrostatic Discharge Currents And Their Derivatives' Approximation By Piecewise Power-Exponential Functions, Vesna Javor, Karl Lundengard, Milica Rancic, Sergei Silvestrov
Electrostatic Discharge Currents And Their Derivatives' Approximation By Piecewise Power-Exponential Functions, Vesna Javor, Karl Lundengard, Milica Rancic, Sergei Silvestrov
Turkish Journal of Electrical Engineering and Computer Sciences
An analytically extended function based on power-exponential functions is used in this paper for approximation of electrostatic discharge (ESD) currents and their derivatives. The Marquardt least-squares method (MLSM) is applied for obtaining nonlinear function parameters. IEC 61000-4-2 Standard ESD current is approximated, as well as some measured ESD currents' wave shapes. Power-exponential terms are extended at the local maxima and minima of the represented wave shape, so that this approximation is done from peak to peak. ESD current derivative is approximated using the same procedure in order to obtain the continuous second order derivative of the current, as all piecewise …
Optimal Sizing Hydrokinetic-Photovoltaic System For Electricity Generation In A Protected Wildlife Area Of Ecuador, Juan Lata- Garcia, Francisco Jurado-Melguizo, Higinio Sanchez-Sainz, Christopher Reyes-Lopez, Luis Fernandez- Ramirez
Optimal Sizing Hydrokinetic-Photovoltaic System For Electricity Generation In A Protected Wildlife Area Of Ecuador, Juan Lata- Garcia, Francisco Jurado-Melguizo, Higinio Sanchez-Sainz, Christopher Reyes-Lopez, Luis Fernandez- Ramirez
Turkish Journal of Electrical Engineering and Computer Sciences
Rural electrification is one of the most significant issues faced by electricity companies. For this reason, these companies are choosing alternative sources to generate energy in isolated regions. Furthermore, hybrid generation systems are an effective option for supplying protected areas. In this context, this research aims at designing an autonomous hybrid system to meet the annual electricity demand of the inhabitants of a national park. Fluvial and solar energies are the best options to reduce environmental impact and to ensure the conservation of the endemic fauna and flora of the island at a low carbon footprint. The system comprises a …
Usability Evaluation Of A Web-Based Ontology Browser: The Case Of Tsont, Türkan Karakuş Yilmaz, Umut Durak, Hali̇t Oğuztüzün, Kürşat Çağiltay
Usability Evaluation Of A Web-Based Ontology Browser: The Case Of Tsont, Türkan Karakuş Yilmaz, Umut Durak, Hali̇t Oğuztüzün, Kürşat Çağiltay
Turkish Journal of Electrical Engineering and Computer Sciences
As the use of ontologies expands, their visualization is becoming increasingly important. In this study, an ontology browser for visualizing the Trajectory Simulation ONTology (TSONT) was evaluated in terms of usability by considering its subdimensions, which are effectiveness, efficiency, and user satisfaction. The methodology employed in this study for evaluating an ontology browser is reported along with the results of the evaluation. The TSONT browser is a tree-type ontology browser created to allow developers to visualize TSONT. Six flight simulation programmers with at least one year of experience participated in the study. The participants were given usability tasks and their …
Energy Efficiency With An Application Container, Özmen Emre Demi̇rkol, Aşkin Demi̇rkol
Energy Efficiency With An Application Container, Özmen Emre Demi̇rkol, Aşkin Demi̇rkol
Turkish Journal of Electrical Engineering and Computer Sciences
Efficient use of energy is an issue that the information technology (IT) world gives prominence to both in academia and industry. Cloud computing and the Internet of things, today's most popular subjects, make the efficient use of resources and energy even more important. Every year, millions of smart devices connected to the Internet increase the demand for data center capacity to provide service to those devices. This increases energy consumption in the IT sector. Thus, more efficient use of energy in these systems is of critical importance. The increase in the migration to cloud computing makes fast and efficient infrastructure-as-a-service …
Effect Of Intuitionistic Fuzzy Normalization In Microarray Gene Selection, Prema Ramasamy, Premalatha Kandhasamy
Effect Of Intuitionistic Fuzzy Normalization In Microarray Gene Selection, Prema Ramasamy, Premalatha Kandhasamy
Turkish Journal of Electrical Engineering and Computer Sciences
Analysis of gene expression data is essential in microarray gene expression in order to retrieve the required information. Gene expression data generally contain a large number of genes but a small number of samples. The complicated relations among the different genes make analysis more difficult, and removing irrelevant genes improves the quality of results. This paper presents two fuzzy preprocessing techniques, using a fuzzy set (FS) and intuitionistic fuzzy set (IFS), to normalize datasets. In the feature selection part, four statistical methods were used. Using three publicly available gene expression datasets, the fuzzy normalization techniques were compared with two standard …