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Articles 7501 - 7530 of 13048
Full-Text Articles in Computer Engineering
Design And Test Of A New Development Fpga Board For Mobile Robot Research, Baligh Naji, Chokri Abdelmoula, Karim Abbes, Mohamed Masmoudi
Design And Test Of A New Development Fpga Board For Mobile Robot Research, Baligh Naji, Chokri Abdelmoula, Karim Abbes, Mohamed Masmoudi
Turkish Journal of Electrical Engineering and Computer Sciences
This paper presents the design and testing of a newly developed field programmable gate array (FPGA) board for mobile robot research. The idea consists of interfacing the FPGA to a 16-bit digital signal controller (dsPIC). This idea enables the FPGA designs to communicate with the dsPIC through the integration of per-written driver modules to be used in a wide variety of digital and analog peripheral modules. It also allows the use of a high-performance digital signal processing core in many signal processing-based mobile robot applications. The proposed FPGA board allows users to develop, test, and deploy quick and cost-effective complete …
New Static Output Feedback Stabilization And Multivariable Pid-Controller Design Methods For Unstable Linear Systems Via An Ilmi Optimization Approach, Mehmet Nur Alpaslan Parlakçi, Elbrus Caferov
New Static Output Feedback Stabilization And Multivariable Pid-Controller Design Methods For Unstable Linear Systems Via An Ilmi Optimization Approach, Mehmet Nur Alpaslan Parlakçi, Elbrus Caferov
Turkish Journal of Electrical Engineering and Computer Sciences
The design problem of a static output feedback controller and multivariable proportional-integral-derivative (PID) controller is investigated for linear time-invariant systems (LTI). First, the static output feedback stabilization problem is taken into consideration and then an iterative linear matrix inequality (ILMI) algorithm is developed for the synthesis of the controller. Second, choosing a multivariable PID control law, the whole system is transformed into a new augmented system represented in the form of a static output feedback control system. This method allows us to convert the multivariable PID controller design problem into a static output feedback synthesis problem. Thus, the proposed ILMI …
A New Approach For Optimal Reactive Power Flow Of Mtdc Systems Using The Abc Algorithm, Ulaş Kiliç, Kürşat Ayan
A New Approach For Optimal Reactive Power Flow Of Mtdc Systems Using The Abc Algorithm, Ulaş Kiliç, Kürşat Ayan
Turkish Journal of Electrical Engineering and Computer Sciences
This paper presents a new approach to optimize reactive power flow of multiterminal high voltage direct current (HVDC) systems. Successful application of two-terminal DC systems worldwide makes the use of multiterminal direct current (MTDC) systems more attractive. Due to the economic and technical advantages of HVDC technology, MTDC systems have been used extensively in recent years. In this study, the artificial bee colony (ABC) algorithm is used for solution of the optimal reactive power flow problem of MTDC systems. In opposition to the current-balancing method used in the literature, this study represents a new approach for DC system power flow …
A Comparative Analysis Of Classification Methods For Hyperspectral Images Generated With Conventional Dimension Reduction Methods, Ozan Arslan, Özer Akyürek, Şi̇nasi̇ Kaya
A Comparative Analysis Of Classification Methods For Hyperspectral Images Generated With Conventional Dimension Reduction Methods, Ozan Arslan, Özer Akyürek, Şi̇nasi̇ Kaya
Turkish Journal of Electrical Engineering and Computer Sciences
This paper compared performances of classification methods for a hyperspectral image dataset in view of dimensionality reduction (DR). Among conventional DR methods, principal component analysis, maximum noise fraction, and independent component analysis were used for the purpose of dimension reduction. The study was conducted using these DR techniques on a real hyperspectral image, an AVIRIS dataset with 224 bands, throughout the experiments. It was observed that DR may have a significant effect on the classification performance. After the DR methods were applied to the image dataset, the extracted reduced bands were used for testing classification performances. Four commonly used classification …
Naive Forecasting Of Household Natural Gas Consumption With Sliding Window Approach, Mustafa Akpinar, Nejat Yumuşak
Naive Forecasting Of Household Natural Gas Consumption With Sliding Window Approach, Mustafa Akpinar, Nejat Yumuşak
Turkish Journal of Electrical Engineering and Computer Sciences
Household consumption has a significant importance for natural gas wholesale companies. These companies make one-day-ahead forecasting daily. However, there are penalties depending on the error of the estimates. These penalties increase exponentially depending on the error rate. Several studies have been done to develop mathematical models to forecast natural gas consumption and minimize the error rate. However, before mathematical model predictions, a previous step, data preparation, is also important. The data must be prepared correctly before the mathematical model. At this point, prior to the mathematical model, selecting the appropriate data set size has a vital role. In this study, …
A Game-Theoretic Framework For Active Distribution Network Planning To Benefit Different Participants Under The Electricity Market, Bo Zeng, Jinyue Shi, Junqiang Wen, Jianhua Zhang
A Game-Theoretic Framework For Active Distribution Network Planning To Benefit Different Participants Under The Electricity Market, Bo Zeng, Jinyue Shi, Junqiang Wen, Jianhua Zhang
Turkish Journal of Electrical Engineering and Computer Sciences
With the deregulation of the power sector, distribution system planning is transforming from the traditional integrated decision mode to the multiple-player-based decentralized paradigm. However, this could potentially cause an adverse impact on the performance of the system due to interest conflict of market players during operations. To address such an issue, this paper develops a game-theoretic framework for active distribution network planning under the electricity market. The interplay between the distribution utility (DISCO) and distributed generation investors (DGO) is formulated as a noncooperative, two-person-based Stackelberg game in which the DISCO, as the leader of the game, makes expansion of the …
Unknown Input Observer Based On Lmi For Robust Generation Residuals, Souad Tahraoui, Abdelmadjid Meghabbar, Djamila Boubekeur
Unknown Input Observer Based On Lmi For Robust Generation Residuals, Souad Tahraoui, Abdelmadjid Meghabbar, Djamila Boubekeur
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, a method of generating robust residuals of a linear system, subject to unknown inputs, is proposed. The impact of disturbances and uncertainty may create difficulties at the decision stage of diagnosis (false alarm); this has resulted in the use of a robust observer for the unknown inputs to ensure the robustness of the system based on the unknown input observer with an optimal decoupling approach, which has a sensitivity that is minimal to unknown inputs and maximal to faults. A generation of robust residuals is then transformed into a problem of robustness/sensitivity constraints (H$_{\infty }$, H and …
An Online Approach For Feature Selection For Classification In Big Data, Nasrin Banu Nazar, Radha Senthilkumar
An Online Approach For Feature Selection For Classification In Big Data, Nasrin Banu Nazar, Radha Senthilkumar
Turkish Journal of Electrical Engineering and Computer Sciences
Feature selection (FS), also known as attribute selection, is a process of selection of a subset of relevant features used in model construction. This process or method improves the classification accuracy by removing irrelevant and noisy features. FS is implemented using either batch learning or online learning. Currently, the FS methods are executed in batch learning. Nevertheless, these techniques take longer execution time and require larger storage space to process the entire dataset. Due to the lack of scalability, the batch learning process cannot be used for large data. In the present study, a scalable efficient Online Feature Selection (OFS) …
Dtreesim: A New Approach To Compute Decision Tree Similarity Using Re-Mining, Gözde Bakirli, Derya Bi̇rant
Dtreesim: A New Approach To Compute Decision Tree Similarity Using Re-Mining, Gözde Bakirli, Derya Bi̇rant
Turkish Journal of Electrical Engineering and Computer Sciences
A number of recent studies have used a decision tree approach as a data mining technique; some of them needed to evaluate the similarity of decision trees to compare the knowledge reflected in different trees or datasets. There have been multiple perspectives and multiple calculation techniques to measure the similarity of two decision trees, such as using a simple formula or an entropy measure. The main objective of this study is to compute the similarity of decision trees using data mining techniques. This study proposes DTreeSim, a new approach that applies multiple data mining techniques (classification, sequential pattern mining, and …
Periodic Control For The Cart Pendulum System With Structured Uncertainty, Arindam Chakraborty, Jayati Dey
Periodic Control For The Cart Pendulum System With Structured Uncertainty, Arindam Chakraborty, Jayati Dey
Turkish Journal of Electrical Engineering and Computer Sciences
The robust stabilization of the cart pendulum system was studied under structured uncertainty with a continuous-time periodic controller. The cart pendulum system was considered here as the test set-up as it is a well-known example of an unstable nonminimum phase system. The uncertainty in the system rose due to measurement error or dry friction in it. In this paper, the robust stability of the periodic controller in the presence of uncertainty was examined. The gain margin and delay margin endow with the periodic controller were superior to those obtained in the case of linear time invariant (LTI) control even in …
Low Power 3rd Order Feedforward Sigma Delta Adc Design, Feyyaz Meli̇h Akçakaya, Günhan Dündar
Low Power 3rd Order Feedforward Sigma Delta Adc Design, Feyyaz Meli̇h Akçakaya, Günhan Dündar
Turkish Journal of Electrical Engineering and Computer Sciences
In this work, a 3-bit feedforward 3rd order sigma delta analog-to-digital converter (ADC) is presented. In this proposed architecture, feedforward paths and multibit design help the integrator output swings to become smaller, which renders the exploitation of a telescopic cascode opamp in the integrators possible. Moreover, a double sampling method is used to relax the opamp specifications. The proposed sigma delta ADC consumes 28.2 $\mu $W and has 81.3 dB SNDR according to postlayout simulations.
Gica: Imperialist Competitive Algorithm With Globalization Mechanism For Optimization Problems, Yousef Abdi, Mahmoud Lak, Yousef Seyfari
Gica: Imperialist Competitive Algorithm With Globalization Mechanism For Optimization Problems, Yousef Abdi, Mahmoud Lak, Yousef Seyfari
Turkish Journal of Electrical Engineering and Computer Sciences
The imperialist competitive algorithm (ICA) is a recent global search strategy developed based on human social evolutionary phenomena in the real world. However, the ICA has the drawback of trapping in local optimum solutions when used for high-dimensional or complex multimodal functions. In order to deal with this situation, in this paper an improved ICA, named GICA, is proposed that can enhance ICA performance by using a new assimilation method and establishing a relationship between countries inspired by the globalization concept in the real world. The proposed algorithm is evaluated using a set of well-known benchmark functions for global optimization. …
A Multifunctional Dstatcom For Power Quality Improvement, Mohammad Mahdianpoor, Arash Kiyoumarsi, Mohammad Ataei, Rahmat Allah Hooshmand, Houshang Karimi
A Multifunctional Dstatcom For Power Quality Improvement, Mohammad Mahdianpoor, Arash Kiyoumarsi, Mohammad Ataei, Rahmat Allah Hooshmand, Houshang Karimi
Turkish Journal of Electrical Engineering and Computer Sciences
The distribution static compensator (DSTATCOM) is used for various purposes such as load balancing, harmonic rejection, and power factor correction (PFC) in power distribution networks. In unbalanced and polluted power systems, the classic definition of power factor cannot be used for PFC due to the existence of harmonics and negative sequence components in voltage and current waveforms. In this paper, PFC is performed using the IEEE power factor definition for harmonic and unbalanced environments. Moreover, the application of a proportional-resonant (PR) controller is proposed as an effective controller in the stationary frame for DSTATCOM performance improvement. The PR controller is …
Dynamic Model Of Wind Power Balancing In Hybrid Power System, Audrius Jonaitis, Renata Miliune, Tomas Deveikis
Dynamic Model Of Wind Power Balancing In Hybrid Power System, Audrius Jonaitis, Renata Miliune, Tomas Deveikis
Turkish Journal of Electrical Engineering and Computer Sciences
The paper presents a dynamic model of a hybrid power system composed of a wind park, a diesel generator, and an electrochemical energy storage system. The purpose of conventional generating units and energy storage equipment in the hybrid power system is the balancing of fluctuating power generated by renewable energy sources as well as an increase in supplied power quality. The composed dynamic model describes characteristics of the power governor of the diesel generator and dynamic behavior of the energy storage system based on a vanadium redox battery. Simulations are based on sampled data of real wind park power installed …
Minimizing Scheduling Overhead In Lre-Tl Real-Time Multiprocessor Scheduling Algorithm, Hitham Seddig Alhassan Alhussian, Mohamed Nordin Bin Zakaria, Fawnizu Azmadi Bin Hussin
Minimizing Scheduling Overhead In Lre-Tl Real-Time Multiprocessor Scheduling Algorithm, Hitham Seddig Alhassan Alhussian, Mohamed Nordin Bin Zakaria, Fawnizu Azmadi Bin Hussin
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, we present a modification of the local remaining execution-time and local time domain (LRE-TL) real-time multiprocessor scheduling algorithm, aimed at reducing the scheduling overhead in terms of task migrations. LRE-TL achieves optimality by employing the fairness rule at the end of each time slice in a fluid schedule model. LRE-TL makes scheduling decisions using two scheduling events. The bottom (B) event, which occurs when a task consumes its local utilization, has to be preempted in order to resume the execution of another task, if any, or to idle the processor if none exist. The critical (C) event …
Implementation Of A Personal Area Network For Secure Routing In Manets By Using Low-Cost Hardware, Himadri Nath Saha, Rohit Singh, Debika Bhattacharyya, Pranab Kumar Banerjee
Implementation Of A Personal Area Network For Secure Routing In Manets By Using Low-Cost Hardware, Himadri Nath Saha, Rohit Singh, Debika Bhattacharyya, Pranab Kumar Banerjee
Turkish Journal of Electrical Engineering and Computer Sciences
Presently, mobile ad hoc networks (MANETs) are being used extensively in the defense, private, domestic, etc. fields and each of these emulates a personal area network (PAN). A MANET does not require any infrastructure; moreover, it can behave as a mobile network. These features have boosted the popularity of MANETs in the community. As more and more fields become dependent on MANETs, the system needs to be more energy aware and low cost. To commercialize MANETs, the routing protocols need to be lightweight, secure, and energy efficient, and the hardware on which it is to be implemented should be low …
Implementation Of Zero Voltage Switched Sepic/Zeta Bidirectional Converter For Low Power Applications Using Fpga, Venmathi Mahendran, Ramaprabha Ramabadran
Implementation Of Zero Voltage Switched Sepic/Zeta Bidirectional Converter For Low Power Applications Using Fpga, Venmathi Mahendran, Ramaprabha Ramabadran
Turkish Journal of Electrical Engineering and Computer Sciences
This paper presents a derived SEPIC/ZETA bidirectional converter (BDC) with reduced ripple in the noninverted output voltage. This converter is obtained by the fusion of unidirectional SEPIC and ZETA converters that ensures reduced ripple in the inductor currents. The optimal selection of duty ratio enables the proposed converter to operate either in SEPIC or ZETA mode under forward and reverse power flow. The presence of auxiliary circuit not only reduces the voltage stress on the switches by operating under zero voltage switching condition but also provides isolation between the input and the output ports. The operational principle and the stability …
Application Of Singular Value Decomposition Algorithm For Implementing Power Amplifier Linearizer, Rajbir Kaur, Manjeet Singh Patterh
Application Of Singular Value Decomposition Algorithm For Implementing Power Amplifier Linearizer, Rajbir Kaur, Manjeet Singh Patterh
Turkish Journal of Electrical Engineering and Computer Sciences
A power amplifier (PA) is an integral component of all base stations in wireless communication systems and is used for converting DC power supply into radio frequency output power, but PAs are highly nonlinear. To achieve high power conversion efficiency, the PA is operated near saturation, which causes intermodulation products and hence results in nonlinear distortion. Digital predistortion (DPD) is a technique used to compensate for the nonlinear distortion without compromising its efficiency. Fourth Generation Long Term Evolution (4G LTE) systems use a carrier aggregation scheme to combine separate available bandwidths to deliver high data speeds. In this paper the …
Exploiting Kernel-Based Feature Weighting And Instance Clustering To Transfer Knowledge Across Domains, Jafar Tahmoresnezhad, Sattar Hashemi
Exploiting Kernel-Based Feature Weighting And Instance Clustering To Transfer Knowledge Across Domains, Jafar Tahmoresnezhad, Sattar Hashemi
Turkish Journal of Electrical Engineering and Computer Sciences
Learning invariant features across domains is of vital importance to unsupervised domain adaptation, where classifiers trained on the training examples (source domain) need to adapt to a different set of test examples (target domain) in which no labeled examples are available. In this paper, we propose a novel approach to find the invariant features in the original space and transfer the knowledge across domains. We extract invariant features of input data by a kernel-based feature weighting approach, which exploits distribution difference and instance clustering to find desired features. The proposed method is called the kernel-based feature weighting (KFW) approach and …
A Symmetrically Feeding Structure For Dual-Polarized Feeds, Jinyuan Liu, Hui Deng, Bin Ding, Xiaolong Niu
A Symmetrically Feeding Structure For Dual-Polarized Feeds, Jinyuan Liu, Hui Deng, Bin Ding, Xiaolong Niu
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, a symmetrically feeding structure for linear dual-polarized feeds for a compensated compact test range (CCR) and a corresponding wideband balun are put forward. $TM_{01}$ and $TE_{21} $ modes within the circular feeding waveguide are compressed due to its electrical balance. The polarization purity of feeds is then improved. Thus, the level of cross-polarization can be very low, which is the key requirement for CCR. A new wideband balun that acts as a power-divider and phase shifter with low amplitude unbalance and phase unbalance is designed for the new feeding structure. The return loss equation derived from an …
Pixel- Versus Object-Based Classification Of Forest And Agricultural Areas From Multiresolution Satellite Images, Di̇jle Boyaci, Mustafa Erdoğan, Ferruh Yildiz
Pixel- Versus Object-Based Classification Of Forest And Agricultural Areas From Multiresolution Satellite Images, Di̇jle Boyaci, Mustafa Erdoğan, Ferruh Yildiz
Turkish Journal of Electrical Engineering and Computer Sciences
Managing of natural resources including agriculture and forestry is a very important subject for governments and decision makers. Up-to-date, accurate, and timely geospatial information about natural resources is needed in the management process. Remote sensing technology plays a significant role in the production of this geospatial information. Compared to terrestrial work, the analysis of larger areas with remote sensing techniques can be done on a shorter timescale and at lower cost. Image classification in remote sensing is one of the most popular methods used for the detection of forest and agricultural areas. However, the accuracy of classification changes according to …
Channel Estimation Using An Adaptive Neuro Fuzzy Inference System In The Ofdm-Idma System, Necmi̇ Taşpinar, Şaki̇r Şi̇mşi̇r
Channel Estimation Using An Adaptive Neuro Fuzzy Inference System In The Ofdm-Idma System, Necmi̇ Taşpinar, Şaki̇r Şi̇mşi̇r
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, a channel estimator based on an adaptive neuro fuzzy inference system (ANFIS) is proposed for the purpose of estimating channel frequency responses in orthogonal frequency division multiplexing-interleave division multiple access (OFDM-IDMA) systems. To see the performance of our proposed channel estimation method, five different techniques including well-known pilot-based estimation algorithms such as least squares (LS) and minimum mean square error (MMSE) with other heuristic methods like multilayered perceptron (MLP) trained by a backpropagation (BP) algorithm (MLP-BP), MLP trained by the Levenberg--Marquardt (LM) algorithm (MLP-LM), and radial basis function neural network (RBFNN) are compared with our proposed method …
Probabilistic Data Fusion Model For Heart Beat Detection From Multimodal Physiological Data, Tehseen Zia, Zulqarnian Arif
Probabilistic Data Fusion Model For Heart Beat Detection From Multimodal Physiological Data, Tehseen Zia, Zulqarnian Arif
Turkish Journal of Electrical Engineering and Computer Sciences
Automatic detection of heart beats constitutes the basis for electrocardiogram (ECG) analysis and mainly relies on detecting QRS complexes. Detection is typically performed by analyzing the ECG signal. However, when signal quality is low, it often leads to the triggering of false alarms. A contemporary approach to reduce false alarm rate is to use multimodal data such as arterial blood pressure (ABP) or photoplethysmogram (PPG) signals. To leverage the correlated temporal nature of these signals, a probabilistic data fusion model for heart beat detection is proposed. A hidden Markov model is used to decode waveforms into segments. A Bayesian network …
A Measurement Study Of Internet Exchange Points (Ixps): History And Future Prediction, Mohammad Masoud, Yousef Jaradat, Ismael Jannoud
A Measurement Study Of Internet Exchange Points (Ixps): History And Future Prediction, Mohammad Masoud, Yousef Jaradat, Ismael Jannoud
Turkish Journal of Electrical Engineering and Computer Sciences
Internet exchange points (IXPs) emerged to remedy the deficiency of peering connections among autonomous systems (ASes). IXPs play an important role in reducing the cost of transit connections over the Internet. This work attempts to study the popularity of IXPs over the Internet. This work consists of two main parts. The first part is a measurement study of multihistorical snapshots of IXPs. These historical data have been harvested for different European IXPs with emphasis on Amsterdam (AMS-IX) IXP. In the second part, two nonlinear autoregressive exogenous (NARX) back-propagation neural network models (BPNN) have been implemented to predict the following: the …
Protection Coordination For A Distribution System In The Presence Of Distributed Generation, Muhammad Yousaf, Tahir Mahmood
Protection Coordination For A Distribution System In The Presence Of Distributed Generation, Muhammad Yousaf, Tahir Mahmood
Turkish Journal of Electrical Engineering and Computer Sciences
This paper proposes an effective strategy to overcome the impacts on coordination among protection devices due to distributed generator (DG) integration. Increased fault current magnitude and changes in power flow directions are the major impacts imposed by DGs on a typical distribution system. The recloser-fuse coordination is much influenced upon the integration of DGs. The proposed approach presents the rehabilitation of recloser-fuse coordination for post-DG integration effects using the directional properties of a recloser. The simulation results show that coordination among protection devices can be regained using fast operation of the recloser to design a fuse saving scheme in the …
A Hybrid Tracking System For Image-Guided Spine Surgery Using A Tracked Mobile C-Arm: A Phantom Study, Peyman Ghobadi Azbari, Alireza Ahmadian, Hooshang Saberi, Mohammadreza Ay, Mostafa Abdolghaffar, Keyvan Amini Khoiy
A Hybrid Tracking System For Image-Guided Spine Surgery Using A Tracked Mobile C-Arm: A Phantom Study, Peyman Ghobadi Azbari, Alireza Ahmadian, Hooshang Saberi, Mohammadreza Ay, Mostafa Abdolghaffar, Keyvan Amini Khoiy
Turkish Journal of Electrical Engineering and Computer Sciences
In recent years, an increasing number of various surgeries are observed utilizing fluoroscopy. The radiation exposure received by patients and medical staff and the surgical guidance in multiple planes frequently necessitate the positioning of a mobile C-arm. Operative navigation enables a mobile C-arm to provide multiplanar surgical guidance and decreases the radiation dose to the patient and operating room personnel. In this study, we propose a video-based tracked mobile C-arm (referred to as a "tracked C-arm system") to position the system. This system defines a reference framework to maintain the video-optical tracker data and computed tomography (CT) or cone-beam CT …
Performance Comparison Of Axial-Flux-Modulated Motor With Two Pole-Slot Combinations, Huijuan Liu, Yue Hao, Weinong Fu
Performance Comparison Of Axial-Flux-Modulated Motor With Two Pole-Slot Combinations, Huijuan Liu, Yue Hao, Weinong Fu
Turkish Journal of Electrical Engineering and Computer Sciences
Axial-flux-modulated motors (AFMMs) with two pole-slot combinations are presented and analyzed quantitatively. They all have new topology structures, and their design rules differ from those of the traditional machine. The concentrated stator windings are designed to reduce the end length and copper losses; therefore, the efficiency of the motors can be improved. Special iron segments in the air-gap are used to modulate the magnetic field. The two proposed AFMMs have 36 stator slots and 30 stator slots, respectively, and the pole-slot combinations are 6 poles for 36 slots and 4 poles for 30 slots. This paper focuses on the comparative …
Analysis Of Reconstruction Performance Of Magnetic Resonance Conductivity Tensor Imaging (Mrcti) Using Simulated Measurements, Evren Deği̇rmenci̇, Behçet Murat Eyüboğlu
Analysis Of Reconstruction Performance Of Magnetic Resonance Conductivity Tensor Imaging (Mrcti) Using Simulated Measurements, Evren Deği̇rmenci̇, Behçet Murat Eyüboğlu
Turkish Journal of Electrical Engineering and Computer Sciences
Magnetic resonance conductivity tensor imaging (MRCTI) was proposed recently to produce electrical conductivity images of anisotropic tissues. Similar to magnetic resonance electrical impedance tomography (MREIT), MRCTI uses magnetic field and boundary potential measurements obtained utilizing magnetic resonance imaging techniques. MRCTI reconstructs tensor images of anisotropic conductivity whereas MREIT reconstructs isotropic conductivity images. In this study, spatial resolution and linearity of five recently proposed MRCTI algorithms are evaluated using simulated measurements gathered from three different computer models. The results show that all five algorithms have quite similar reconstruction performances. Since the AB$_{z}$S algorithm is easier to apply compared to the other …
A Data-Aware Cognitive Engine For Scheduling Data Intensive Applications In A Grid, Vijaya Nagarajan, Maluk Mohamed Mulk Abdul
A Data-Aware Cognitive Engine For Scheduling Data Intensive Applications In A Grid, Vijaya Nagarajan, Maluk Mohamed Mulk Abdul
Turkish Journal of Electrical Engineering and Computer Sciences
Data-intensive applications produce huge amounts of data that need to be stored, analyzed, and interpreted. A data grid serves as a cost-effective infrastructure for solving these data-intensive applications. Existing scheduling strategies are best suited for handling compute-intensive applications, although they lack in performance while handling data-intensive applications. In this work, a novel mechanism of incorporating cognitive science in a data grid is proposed for scheduling data-intensive workflows. A unique model is derived in which a cognitive engine (CE) is built into the middleware of the data grid. The intelligent agents present in the CE handle the request for data sets …
Adslanf: A Negotiation Framework For Cloud Management Systems Using A Bulk Negotiation Behavioral Learning Approach, Rajkumar Rajavel, Mala Thangarathinam
Adslanf: A Negotiation Framework For Cloud Management Systems Using A Bulk Negotiation Behavioral Learning Approach, Rajkumar Rajavel, Mala Thangarathinam
Turkish Journal of Electrical Engineering and Computer Sciences
One of the major challenges in cloud computing is the development of a service-level agreement (SLA) negotiation framework using an intelligent third-party broker negotiation strategy. Current frameworks exploit various negotiation strategies using game theoretic, heuristic, and argumentation-based approaches for obtaining optimal negotiation with a better success rate (negotiation commitment). However, these approaches fail to optimize the negotiation round (NR), total negotiation time (TNT), and communication overhead (CO) involved in the negotiation strategy. To overcome these problems, certain researchers have exploited trade-off, concession, and behavioral learning strategies with varying degrees of sacrifices (reductions) in their concerned proposal generation. Such sacrifices can …