Open Access. Powered by Scholars. Published by Universities.®
- Discipline
- Keyword
-
- Turkey (43)
- Taxonomy (17)
- New records (11)
- Oxidative stress (11)
- Morphology (10)
-
- Optimization (10)
- Cytotoxicity (9)
- Iran (9)
- New species (8)
- Apoptosis (7)
- Quality of life (7)
- Rat (7)
- Stability (7)
- Treatment (7)
- Children (6)
- Classification (6)
- Clustering (6)
- Diagnosis (6)
- Distributed generation (6)
- ELISA (6)
- Fauna (6)
- Gene expression (6)
- Genetic diversity (6)
- Risk factors (6)
- Biodiversity (5)
- Cattle (5)
- Depression (5)
- Genetic algorithm (5)
- Inflammation (5)
- Magnetic resonance imaging (5)
Articles 1411 - 1425 of 1425
Full-Text Articles in Entire DC Network
Eccentricity Fault Diagnosis In A Permanent Magnet Synchronous Motor Under Nonstationary Speed Conditions, Mustafa Eker, Mehmet Akar
Eccentricity Fault Diagnosis In A Permanent Magnet Synchronous Motor Under Nonstationary Speed Conditions, Mustafa Eker, Mehmet Akar
Turkish Journal of Electrical Engineering and Computer Sciences
Electric motor faults decrease production capacity and increase maintenance costs. Today, predictive detection based on real-time monitoring and fault detection is taking the place of periodic applications. In this study, a new method is presented for the detection of eccentricity faults in permanent magnet synchronous motors. The motor current and the rotor speed were monitored under stationary and nonstationary speed and different load conditions, after which the fault detection was carried out via angular domain-order tracking method. The obtained results were compared with traditional fast Fourier transform results. It was observed that the suggested method can successfully detect the fault …
Design Optimization Of A ĆUk Dc/Dc Converter Based On Reliability Constraints, Amirreza Zarrin Gharehkoushan, Mehdi Abapour, Amir Farakhor
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
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 …
Intrusion Detection In Network Flows Based On An Optimized Clustering Criterion, Jaber Karimpour, Shahriar Lotfi, Aliakbar Tajari Siahmarzkooh
Intrusion Detection In Network Flows Based On An Optimized Clustering Criterion, Jaber Karimpour, Shahriar Lotfi, Aliakbar Tajari Siahmarzkooh
Turkish Journal of Electrical Engineering and Computer Sciences
Graph-based intrusion detection approaches consider the network as a graph and detect anomalies based on graph metrics. However, most of these approaches succumb to the cluster-based behavior of the anomalies. To resolve this problem in our study, we use flow and graph-clustering concepts to create a data set first. A new criterion related to the average weight of clusters is then defined and a model is proposed to detect attacks based on the above-mentioned criterion. Finally, the model is evaluated using a DARPA data set. Results show that the proposed approach detects the attacks with high accuracy relative to methods …
Mobility And Load Aware Radio Resource Management In Ofdma Femtocell Networks, Mohammad Zarei, Behrouz Shahgholi Ghahfarokhi, Mehdi Mahdavi
Mobility And Load Aware Radio Resource Management In Ofdma Femtocell Networks, Mohammad Zarei, Behrouz Shahgholi Ghahfarokhi, Mehdi Mahdavi
Turkish Journal of Electrical Engineering and Computer Sciences
Recent evolutions in mobile networks have led to increased resource demands, especially from indoor users. Although recent technologies such as LTE have an important role in providing higher capacity, indoor users are not satisfied adequately. Femtocell networks are one of the proposed solutions that support high data rates as well as better indoor coverage without imposing heavy costs to network providers. However, interference management is a challenging issue in femtocell networks, mainly due to dense and random deployment of femto access points (FAPs). Therefore, distinct radio resource management (RRM) methods are employed to ensure acceptable levels of call dropping/blocking probability …
A Hybrid Of Sliding Mode Control And Fuzzy Logic Control Using A Fuzzy Supervisory Switched System For Dc Motor Speed Control, Husain Ahmed, Abha Rajoriya
A Hybrid Of Sliding Mode Control And Fuzzy Logic Control Using A Fuzzy Supervisory Switched System For Dc Motor Speed Control, Husain Ahmed, Abha Rajoriya
Turkish Journal of Electrical Engineering and Computer Sciences
In many applications of DC motor speed control systems, PID controllers are mostly used. Such control schemes do not show good performance when input and load torque disturbances are applied. This paper shows that sliding mode (SM) can give better control due to its robust property but it has an unwanted chattering problem associated with it, which is harmful to the plant. To limit this problem a hybrid controller is presented in which a fuzzy controller is combined with the SM controller by a fuzzy supervisory system in such a way that the SM controller works in transient state and …
New Use Of The Hits Algorithm For Fast Web Page Classification, Mohamed Nadjib Meadi, Mohamed Chaouki Babahenini, Abdelmalik Taleb Ahmed
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 …
Significant Insights Into The Operation Of Dc-Link Voltage Control Of A Shunt Active Power Filter Using Different Control Algorithms: A Comparative Study, Nor Farahaida Abdul Rahman, Mohd Amran Mohd Radzi, Azura Che Soh, Norman Mariun, Nasrudin Abd Rahim
Significant Insights Into The Operation Of Dc-Link Voltage Control Of A Shunt Active Power Filter Using Different Control Algorithms: A Comparative Study, Nor Farahaida Abdul Rahman, Mohd Amran Mohd Radzi, Azura Che Soh, Norman Mariun, Nasrudin Abd Rahim
Turkish Journal of Electrical Engineering and Computer Sciences
A comparative study between a conventional DC-link voltage control algorithm (CDVCA) and a self-charging DC-link voltage control algorithm (SDVCA) is presented. It focuses on the principle operation of both algorithms and their impacts on the performance of a shunt active power filter (SAPF) operation. All analyses are based on the step response of DC-link voltages under different start-up times of the SAPF and different initial DC-link voltage values. Other considered parameters are the ripple factor (RP) of DC-link voltages, estimated and measured DC-link charging currents, and total harmonic distortion (THD) value of supply currents. Thus, this study provides new insights …
Compact Magneto-Dielectric Resonator Mimo Antenna For Angle Diversity, Kumar Mohit, Vibha Rani Gupta, Sanjeev Kumar Rout
Compact Magneto-Dielectric Resonator Mimo Antenna For Angle Diversity, Kumar Mohit, Vibha Rani Gupta, Sanjeev Kumar Rout
Turkish Journal of Electrical Engineering and Computer Sciences
This paper presents a two-element MIMO antenna configuration designed using magneto-dielectric (MD) material. The MD material has been designed such that its temperature coefficient value approaches zero. The microwave dielectric constant and permeability of the material is calculated by Nicholson-Ross-Weir conversion technique and found to be 8.02 and 1.64, respectively. Each element is designed so that it can operate at 5.71 GHz. The two elements of the MIMO configuration are separated by quarter wavelength and half wavelength and are compared. The designed antenna can give a quad-directional radiation property, which can be utilized for the diversity scheme.
Smart Frequent Itemsets Mining Algorithm Based On Fp-Tree And Diffset Data Structures, George Gatuha, Tao Jiang
Smart Frequent Itemsets Mining Algorithm Based On Fp-Tree And Diffset Data Structures, George Gatuha, Tao Jiang
Turkish Journal of Electrical Engineering and Computer Sciences
Association rule data mining is an important technique for finding important relationships in large datasets. Several frequent itemsets mining techniques have been proposed using a prefix-tree structure, FP-tree, a compressed data structure for database representation. The DIFFset data structure has also been shown to significantly reduce the run time and memory utilization of some data mining algorithms. Experimental results have demonstrated the efficiency of the two data structures in frequent itemsets mining. This work proposes FDM, a new algorithm based on FP-tree and DIFFset data structures for efficiently discovering frequent patterns in data. FDM can adapt its characteristics to efficiently …
Aqueous Paramagnetic Solutions For Mri Phantoms At 3 T:A Detailed Study On Relaxivities, Kalaivani Thangavel, Emi̇ne Ülkü Saritaş
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 …
Techno-Economic Analysis Using Different Types Of Hybrid Energy Generation For Desert Safari Camps In Uae, Ali Aziz
Turkish Journal of Electrical Engineering and Computer Sciences
Remote areas in UAE are still fully powered by diesel generators. The rapid rise in the prices of petroleum products and environmental concerns have led to demand for hybrid renewable energy generators. Advances in renewable energy technologies impart further impetus to techno-economic power production. Protecting the landscape and demography of the desert by optimizing the power supply cost via an efficient hybrid power system is the key issue. Simulation results on the cross utilization of a photovoltaic/wind/battery/fuel-cell hybrid-energy source to power the off-grid living space are presented. Simultaneous exploitation of different renewable energy sources to power off-grid applications together with …
A Steganographic Approach To Hide Secret Data In Digital Audio Based On Xor Operands Triplet Property With High Embedding Rate And Good Quality Audio, Krishna Bhowal, Debasree Chanda Sarkar, Sushanta Biswas, Partha Pratim Sarkar
A Steganographic Approach To Hide Secret Data In Digital Audio Based On Xor Operands Triplet Property With High Embedding Rate And Good Quality Audio, Krishna Bhowal, Debasree Chanda Sarkar, Sushanta Biswas, Partha Pratim Sarkar
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, a unique and transparent data hiding algorithm based on XOR operands triplet (XOT) is proposed. In XOT, an XOR operation applied on any two members of a triplet provides the third member of the same triplet. Taking advantage of the low computational complexity and fascinating properties of the XOR operator, it is possible to embed 4-ary secret digits with negligible changes in the host digital audio. The proposed scheme has been designed to ensure that a minimum number of bit alterations happen in the host digital audio during the data hiding process, which also increases the security …
Electrocardiogram Signal Analysis For R-Peak Detection And Denoising With Hybrid Linearization And Principal Component Analysis, Harjeet Kaur, Rajni Rajni
Electrocardiogram Signal Analysis For R-Peak Detection And Denoising With Hybrid Linearization And Principal Component Analysis, Harjeet Kaur, Rajni Rajni
Turkish Journal of Electrical Engineering and Computer Sciences
In the areas of biomedical and healthcare, electrocardiogram (ECG) signal analysis is one of the major aspects of research. The accuracy in the detection of subtle characteristic features in ECG is of great significance. This paper deals with an algorithm based on hybrid linearization and principal component analysis for ECG signal denoising and R-peak detection. The ECG data have been taken from the MIT-BIH Arrhythmia Database for performance evaluation. The signal is denoised by applying the hybrid linearization method, which is an arrangement of the extended Kalman filter along with discrete wavelet transform, and then principal component analysis is employed …
Sum Rate Enhancement And Interference Alignment For Mimo Channels, Sarmad Sohaib, Faqir Najam-Ul-Hassan, Junaid Ahmed
Sum Rate Enhancement And Interference Alignment For Mimo Channels, Sarmad Sohaib, Faqir Najam-Ul-Hassan, Junaid Ahmed
Turkish Journal of Electrical Engineering and Computer Sciences
Interference alignment (IA) is a cooperative technique used for multiple-input, multiple-output (MIMO) interference channels to confine the interference to a reduced signal space of the receiver. IA helps all nodes of the network to achieve half of the degree of freedom that can be achieved if there were no interference. In this paper an iterative alternating minimization algorithm is presented, which aims at providing the higher sum rate along with IA for more than three users having complete channel state information. In each iteration of the algorithm precoders and decoders are calculated to align interference in a reduced interference subspace. …