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Articles 4831 - 4860 of 10319
Full-Text Articles in Physical Sciences and Mathematics
Threshold Optimization According To The Restricted Bayes Criterion In Decentralized Detection Problems, Suat Bayram, Hakan Soku
Threshold Optimization According To The Restricted Bayes Criterion In Decentralized Detection Problems, Suat Bayram, Hakan Soku
Turkish Journal of Electrical Engineering and Computer Sciences
No abstract provided.
A Robust Undervoltage Load Shedding Scheme Against Voltage Instability, Iman Kaffashan, Seyed Mohammad Taghi Mirali Mortezaee, Turaj Amraee
A Robust Undervoltage Load Shedding Scheme Against Voltage Instability, Iman Kaffashan, Seyed Mohammad Taghi Mirali Mortezaee, Turaj Amraee
Turkish Journal of Electrical Engineering and Computer Sciences
No abstract provided.
Tourism Demand Modelling And Forecasting Using Data Mining Techniques In Multivariate Time Series: A Case Study In Turkey, Selçuk Cankurt, Abdülhami̇t Subaşi
Tourism Demand Modelling And Forecasting Using Data Mining Techniques In Multivariate Time Series: A Case Study In Turkey, Selçuk Cankurt, Abdülhami̇t Subaşi
Turkish Journal of Electrical Engineering and Computer Sciences
In this study multiple linear regression, multilayer perceptron (MLP) regression, and support vector regression (SVR) are used to make multivariate tourism forecasting for Turkey. This paper is a comparative study of data mining techniques based on multivariate regression modelling with monthly data points to forecast tourism demand; it focuses on Turkey. Both MLP and SVR methods are widely employed in the variety forecasting problems. Most of the previous research on tourism forecasting used univariate time series or a limited number of variables with mostly yearly or quarterly, and rarely monthly frequencies. However, the application of data mining techniques for multivariate …
Experimental Characterization Of Wafer Probe Burn, Baha Zafer, Bahadir Tunaboylu
Experimental Characterization Of Wafer Probe Burn, Baha Zafer, Bahadir Tunaboylu
Turkish Journal of Electrical Engineering and Computer Sciences
The probing test is a typical quality control method for individual chips on a wafer. This study investigates the cantilever wafer probe current carrying capacity along a probe body in order to model the probe burn phenomenon by using experimental techniques and numerical simulation. The standard measurement approach used in the test industry is conducted to define the mechanical degradation of the cantilever probe on the wafer card and temperature distribution along the probe body is conducted using a conduction heat transfer equation via computational discretization. Maximum current carrying capacity is defined and the probe burn phenomenon is observed at …
Stability Criterion For Uncertain 2-$D$ Discrete Systems With Interval-Like Time-Varying Delay Employing Quantization/Overflow Nonlinearities, Siva Kumar Tadepalli, Venkata Krishna Rao Kandanvli, Haranath Kar
Stability Criterion For Uncertain 2-$D$ Discrete Systems With Interval-Like Time-Varying Delay Employing Quantization/Overflow Nonlinearities, Siva Kumar Tadepalli, Venkata Krishna Rao Kandanvli, Haranath Kar
Turkish Journal of Electrical Engineering and Computer Sciences
This paper considers the problem of global asymptotic stability of a class of two-dimensional (2-$D$) uncertain discrete systems described by the Fornasini-Marchesini second local state-space (FMSLSS) model under the influence of various combinations of quantization/overflow nonlinearities and interval-like time-varying delay in the state. The systems under consideration involve parameter uncertainties that are assumed to be deterministic and norm-bounded. A delay-dependent stability criterion is established by bounding the forward difference of the 2-$D$ Lyapunov functional using the reciprocally convex approach. The criterion is compared with a recently reported criterion.
Intensity Exposure-Based Bi-Histogram Equalization For Image Enhancement, Tang Jing Rui, Nor Ashidi Mat Isa
Intensity Exposure-Based Bi-Histogram Equalization For Image Enhancement, Tang Jing Rui, Nor Ashidi Mat Isa
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, we present a study of the usage of intensity exposure in histogram segmentation and its performance in histogram equalization. Two techniques are proposed: the mean-based bi-histogram equalization plateau limit (mean-BHEPL) or median-based BHEPL (median-BHEPL) and adaptive bi-histogram equalization algorithm (ABHE). Both techniques initially divide the input histogram into two subhistograms through a threshold value computed from the intensity exposure of the image. Histogram clipping for mean-BHEPL and median-BHEPL is then performed on these subhistograms using the mean and median values, respectively. Conventional histogram equalization is also implemented on each clipped subhistogram. The second proposed technique, ABHE, applies …
Internet-Based Multiuser In-Circuit Emulator Design For 8051 Microprocessors, Kubi̇lay Taşdelen, Aki̇f Kutlu
Internet-Based Multiuser In-Circuit Emulator Design For 8051 Microprocessors, Kubi̇lay Taşdelen, Aki̇f Kutlu
Turkish Journal of Electrical Engineering and Computer Sciences
A real-time, Internet-based 8051 microprocessor in-circuit emulator (MicroLabICE) was designed and run for microprocessor lessons for undergraduate and graduate programs of electrical, electronics, communication, and computer engineering. Users can run applications developed for the 8051 microprocessor online on a physical circuit not being limited to a specific time or place with the 8051 microprocessor in-circuit emulator (ICE). The programs prepared by users are transferred to the controller area network (CAN) through an online server and program the ICE experiment module. Codes loaded on the designed emulator experiment module are run step by step and values that 8051 microprocessor registers have …
Statistical Learning Approaches In Diagnosing Patients With Nontraumatic Acute Abdomen, Gökmen Zararsiz, Hizir Yakup Akyildiz, Di̇nçer Göksülük, Selçuk Korkmaz, Ahmet Öztürk
Statistical Learning Approaches In Diagnosing Patients With Nontraumatic Acute Abdomen, Gökmen Zararsiz, Hizir Yakup Akyildiz, Di̇nçer Göksülük, Selçuk Korkmaz, Ahmet Öztürk
Turkish Journal of Electrical Engineering and Computer Sciences
A quick evaluation is required for patients with acute abdominal pain. It is crucial to differentiate between surgical and nonsurgical pathology. Practical and accurate tests are essential in this differentiation. Lately, D-dimer level has been found to be an important adjuvant in this diagnosis and obviously outperforms leukocyte count, which is widely used for diagnosis of certain cases. Here, we handle this problem from a statistical perspective and combine the information from leukocyte count with D-dimer level to increase the diagnostic accuracy of nontraumatic acute abdomen. For this purpose, various statistical learning algorithms are considered and model performances are assessed …
Energy Efficient Multiconstrained Optimization Using Hybrid Aco And Ga In Manet Routing, Nivetha Senthil Kumaran, Asokan Ramasamy
Energy Efficient Multiconstrained Optimization Using Hybrid Aco And Ga In Manet Routing, Nivetha Senthil Kumaran, Asokan Ramasamy
Turkish Journal of Electrical Engineering and Computer Sciences
Nodes in mobile ad hoc networks (MANET) suffer from limited battery power and bandwidth. Particularly for real time multimedia communications through MANET, metrics like residual node energy, bandwidth, and end-to-end delay have major impacts. In MANET, designing a dynamic routing algorithm to satisfy quality of service (QoS) requirements is a challenging task. Additionally, multiconstrained QoS routing aims to optimize multiple QoS metrics while providing required network resources and is an admittedly complex problem. It has been proved to be NP-complete when a combination of additive, concave, and multiplicative metrics are considered. Hence, this problem can be solved using metaheuristic methods …
The Use Of Cross-Company Fault Data For The Software Fault Prediction Problem, Çağatay Çatal
The Use Of Cross-Company Fault Data For The Software Fault Prediction Problem, Çağatay Çatal
Turkish Journal of Electrical Engineering and Computer Sciences
We investigated how to use cross-company (CC) data in software fault prediction and in predicting the fault labels of software modules when there are not enough fault data. This paper involves case studies of NASA projects that can be accessed from the PROMISE repository. Case studies show that CC data help build high-performance fault predictors in the absence of fault labels and remarkable results are achieved. We suggest that companies use CC data if they do not have any historical fault data when they decide to build their fault prediction models.
The Phononic Crystal Interface Layer Determines Slow-Wave And Pulse Broadening Effects, Li Sun, Aiming Ji, Jialing Hu, Canyan Zhu, Lijun Zhang, Jianfeng Yang, Lingfeng Mao
The Phononic Crystal Interface Layer Determines Slow-Wave And Pulse Broadening Effects, Li Sun, Aiming Ji, Jialing Hu, Canyan Zhu, Lijun Zhang, Jianfeng Yang, Lingfeng Mao
Turkish Journal of Electrical Engineering and Computer Sciences
The relationship among the slow-wave and echo pulse broadening effects in reflected acoustic waves and the width of the interface layer of phononic crystal has been theoretically investigated. It has been observed that not only the slow time for the reflected acoustic wave but also the echo pulse broadening reaches a saturation point as the size of the phononic crystal increases. From the viewpoint of the acoustic wave, there is an interface layer in the crystal that determines the slow-wave and the echo pulse broadening effects. The longest slow time, which is the time needed for transmitting 0.08 periods of …
Gravitational Search Algorithm-Based Dynamic Economic Dispatch By Estimating Transmission System Losses Using A-Loss Coefficients, Ram Jethmalani Chinasamy Hemparuva, Sishaj Pulikottil Simon, Sundareswaran Kinattingal, Srinivasa Rao Nayak Panugothu
Gravitational Search Algorithm-Based Dynamic Economic Dispatch By Estimating Transmission System Losses Using A-Loss Coefficients, Ram Jethmalani Chinasamy Hemparuva, Sishaj Pulikottil Simon, Sundareswaran Kinattingal, Srinivasa Rao Nayak Panugothu
Turkish Journal of Electrical Engineering and Computer Sciences
Dynamic economic dispatch (DED) is an important problem in power system generation, operation, planning, and control. The objective of the DED problem is to schedule power generation for the online units over a time horizon, satisfying the unit and ramp rate constraints. Here, valve point loading effects that cause nonsmoothness of the objective function is also considered while solving the DED. The accuracy of the solution not only depends on the optimal scheduling of generating units, but it also lies in accuracy while estimating transmission system losses. Generally, B-loss coefficients are used in estimating transmission losses. However, in the literature, …
Comparative Analysis Of Voltage And Current Source Inverter Based Dstatcom Systems, Pradeep Kumar, Niranjan Kumar, Ashok Kumar Akella
Comparative Analysis Of Voltage And Current Source Inverter Based Dstatcom Systems, Pradeep Kumar, Niranjan Kumar, Ashok Kumar Akella
Turkish Journal of Electrical Engineering and Computer Sciences
This paper presents a comparative performance evaluation of voltage source inverter (VSI) as well as current source inverter (CSI) based DSTATCOM systems in terms of power quality improvement in a three-phase four-wire distribution network. Due to increasing use of high-performance semiconductor based power electronic switches, the CSI based DSTATCOM is developed as a suitable option in high power applications. However, the VSI based DSTATCOM system is the best suited for medium power applications. The VSI based DSTATCOM offers advantages over the CSI based DSTATCOM in terms of current harmonic compensation, power factor correction, lower losses (both conduction and power losses), …
An Hf/Uhf Dual Mode Rfid Transponder Antenna And Hf Range Extension Using Uhf Wireless Power Transmission, Mustafa Murat Bi̇lgi̇ç, Korkut Yeği̇n
An Hf/Uhf Dual Mode Rfid Transponder Antenna And Hf Range Extension Using Uhf Wireless Power Transmission, Mustafa Murat Bi̇lgi̇ç, Korkut Yeği̇n
Turkish Journal of Electrical Engineering and Computer Sciences
An HF/UHF compatible RFID transponder antenna is designed, simulated, and measured for dual band operation and HF range extension. A dual mode compatible RFID transponder antenna has the benefits of each mode and eliminates the disadvantages of single mode operation. One of the major drawbacks of UHF antennas is their poor performance when the tag is placed on or near metallic objects. To overcome this shortcoming, two-layer substrate with degenerate grounded is used and a 4-turn spiral antenna is placed on the top and bottom parts of the substrate for HF operation. The co-existence of both antennas affects standalone performances …
Common Spatial Pattern-Based Feature Extraction From The Best Time Segment Of Bci Data, Önder Aydemi̇r
Common Spatial Pattern-Based Feature Extraction From The Best Time Segment Of Bci Data, Önder Aydemi̇r
Turkish Journal of Electrical Engineering and Computer Sciences
Feature extraction is one of the most crucial stages in the field of brain computer interface (BCI). Because of its ability to directly influence the performance of BCI systems, recent studies have generally investigated how to modify existing methods or develop novel techniques. One of the most successful and well-known methods in BCI applications is the common spatial pattern (CSP). In existing CSP-based methods, the spatial filters were extracted either by using the whole data trial or by dividing the trials into a number of overlapping/nonoverlapping time segments. In this paper, we developed a CSP-based moving window technique to obtain …
An Ipr Protection Scheme Based On Wavelet Transformation And Visual Cryptography, Young Chang Hou, A-Yu Tseng, Zen-Yu Quan, Hsin-Ju Liu
An Ipr Protection Scheme Based On Wavelet Transformation And Visual Cryptography, Young Chang Hou, A-Yu Tseng, Zen-Yu Quan, Hsin-Ju Liu
Turkish Journal of Electrical Engineering and Computer Sciences
As information technology is fast developing, it brings great convenience to our everyday life. However, hackers may also access confidential data illegally and easily from computers over the Internet. Therefore, how to protect property rights against infringement is an essential issue. Digital watermarking is a method that adds personal information to an intellectual property to protect one's ownership rights. Should the intellectual property be disputed, the owner can retrieve the watermark and prove ownership rights. Based on the principles of visual cryptography and the law of large numbers, our study generates shares by comparing pseudorandomly selected value pairs during the …
Speech Steganalysis Based On The Delay Vector Variance Method, Osman Hi̇lmi̇ Koçal, Emrah Yürüklü, Erdoğan Di̇laveroğlu
Speech Steganalysis Based On The Delay Vector Variance Method, Osman Hi̇lmi̇ Koçal, Emrah Yürüklü, Erdoğan Di̇laveroğlu
Turkish Journal of Electrical Engineering and Computer Sciences
This study investigates the use of delay vector variance-based features for steganalysis of recorded speech. Because data hidden within a speech signal distort the properties of the original speech signal, we designed a new audio steganalyzer that utilizes delay vector variance (DVV) features based on surrogate data in order to detect the existence of hidden data. The proposed DVV features are evaluated individually and together with other chaotic-type features. The performance of the proposed steganalyzer method is also discussed with a focus on the effect of different hiding capacities. The results of the study show that using the proposed DVV …
A Switching Inverse Dynamics Controller For Parallel Manipulators Around Drive Singular Configurations, Mustafa Özdemi̇r, Sitki Kemal İder
A Switching Inverse Dynamics Controller For Parallel Manipulators Around Drive Singular Configurations, Mustafa Özdemi̇r, Sitki Kemal İder
Turkish Journal of Electrical Engineering and Computer Sciences
Despite many advantages, parallel manipulators are known to possess drive singularities where the control of one or more degrees of freedom is lost. Around these singular configurations, the required actuator forces grow unbounded. Previous efforts in the literature put forward singularity-consistent trajectory planning and singularity-robust modification of the dynamic equations as a solution to this problem. However, this previous method is applicable only for the open-loop operation of the manipulator, whereas initial configuration errors, external disturbances, and modeling errors should necessarily be taken into account in a closed-loop sense in real-life applications. With this aim, a switching inverse dynamics controller …
Fast Image Search On A Vq Compressed Image Database, Mehmet Yakut
Fast Image Search On A Vq Compressed Image Database, Mehmet Yakut
Turkish Journal of Electrical Engineering and Computer Sciences
A fast and efficient image search method is developed for a compressed image database using vector quantization (VQ). An image search on an image database requires an exhaustive sequential scan of all the images, given the similarity measure. If compressed images are dealt with, images are decompressed as an initial operation and then the previously mentioned exhaustive search is performed using the predetermined similarity measure. If the images in the database are compressed using VQ, the image search process is reduced to codebook index match tests. A pixel by pixel similarity test of two images computationally costs too much. This …
A New Step-Size Searching Algorithm Based On Fuzzy Logic And Neural Networks For Lms Adaptive Beamforming Systems, Walter Orozco-Tupacyupanqui, Mariko Nakano-Miyatake, Hector Perez Meana
A New Step-Size Searching Algorithm Based On Fuzzy Logic And Neural Networks For Lms Adaptive Beamforming Systems, Walter Orozco-Tupacyupanqui, Mariko Nakano-Miyatake, Hector Perez Meana
Turkish Journal of Electrical Engineering and Computer Sciences
In this paper, a novel algorithm based on fuzzy logic and neural networks is proposed to find an approximation of the optimal step size $\mu $ for least-mean-squares (LMS) adaptive beamforming systems. A new error ensemble learning (EEL) curve is generated based on the final prediction value of the ensemble-average learning curve of the LMS adaptive algorithm. This information is classified and fed into a back propagation neural network, which automatically generates membership functions for a fuzzy inference system. An estimate of the optimal step size is obtained using a group of linguistic rules and the corresponding defuzzification method. Computer …
Exploring Feature Sets For Turkish Word Sense Disambiguation, Bahar İlgen, Eşref Adali, Ahmet Cüneyd Tantuğ
Exploring Feature Sets For Turkish Word Sense Disambiguation, Bahar İlgen, Eşref Adali, Ahmet Cüneyd Tantuğ
Turkish Journal of Electrical Engineering and Computer Sciences
This paper presents an exploration and evaluation of a diverse set of features that influence word-sense disambiguation (WSD) performance. WSD has the potential to improve many natural language processing (NLP) tasks as being one of the most crucial steps in the area. It is known that exploiting effective features and removing redundant ones help improving the results. There are two groups of feature sets to disambiguate senses and select the most appropriate ones among a set of candidates: collocational and bag-of-words (BoW) features. We introduce the effects of using these two feature sets on the Turkish Lexical Sample Dataset (TLSD), …
Improving Response Time Of Database Systems By Semantification Of Relational Data, Mustafa Yeni̇ad, Yakup Kutlu
Improving Response Time Of Database Systems By Semantification Of Relational Data, Mustafa Yeni̇ad, Yakup Kutlu
Turkish Journal of Electrical Engineering and Computer Sciences
New generation web technologies present the new problem of intelligent representation of data in semantically structured systems. In this study, data hosted in a relational database system were converted to a new generation of web technologies (i.e. Web 3.0) with the semantic mapping method and semantification of the data was accomplished. The success of the transformation procedure was verified by a cross-comparison of the data between the relational database and the semantic data repository. By comparing the response time for performing SQL queries and equivalent SPARQL queries such as select, insert, update, and delete, operations hold in the semantic data …
Optimization Design Of A Doubly Salient 8/6 Srm Based On Three Computational Intelligence Methods, Fares Rebahi, Amar Bentounsi, Houssem Rafik El-Hana Bouchekara, Redjem Rebbah
Optimization Design Of A Doubly Salient 8/6 Srm Based On Three Computational Intelligence Methods, Fares Rebahi, Amar Bentounsi, Houssem Rafik El-Hana Bouchekara, Redjem Rebbah
Turkish Journal of Electrical Engineering and Computer Sciences
The aim of this paper is to optimize an 8/6 doubly salient switched reluctance machine using three computational intelligence methods, which include particle swarm optimization, a genetic algorithm, and differential evolution. Three cases are investigated where different parameters are considered like the stator pole arc, rotor pole arc, and ratios, which define the stator yoke and rotor thickness. The objective functions considered are the average torque and the torque-to-weight functions. The simulations are carried out using MATLAB and FEMM software. The optimal results found are compared with the initial design, and it is shown that high improvements are achieved.
Open Source Software Adoption Evaluation Through Feature Level Sentiment Analysis Using Twitter Data, Muhammad Touseef Ikram, Naveed Anwer Butt, Muhammad Tanvir Afzal
Open Source Software Adoption Evaluation Through Feature Level Sentiment Analysis Using Twitter Data, Muhammad Touseef Ikram, Naveed Anwer Butt, Muhammad Tanvir Afzal
Turkish Journal of Electrical Engineering and Computer Sciences
Adopting open source software from the Internet, developers often encounter the problem of accessing the quality of candidate software. To efficiently adopt the system they need a sort of quality guarantee regarding software resources. To assist the developer in software adoption evaluation we have proposed a software adoption assessment approach based on user comments. In our proposed approach, we first collected the textual reviews regarding the software resource, assigned the sentiment polarity (positive or negative) to each comment, extracted the adoption aspect which the comment talks about, and then based on the adoption aspects of the software generated an aggregated …
A New Cmos Logarithmic Current Generator, Munir Al Absi, Karama Al Tamimi
A New Cmos Logarithmic Current Generator, Munir Al Absi, Karama Al Tamimi
Turkish Journal of Electrical Engineering and Computer Sciences
A new CMOS current-mode controllable low-voltage and low-power logarithmic function circuit is proposed. The circuit provides good dynamic range, controllable output, and reasonable accuracy and it is insensitive to temperature variations. The circuit operates with $\pm $0.5 V supply, consumes 0.3 $\mu $W, and has a -3 dB frequency of 2.4 MHz. The functionality of the proposed design is confirmed using Tanner T-spice with 0.35 $\mu $m CMOS process.
The Self-Adaptive Alternating Direction Method For The Multiarea Economic Dispatch Problem, Yaming Ren, Shumin Fei, Haikun Wei
The Self-Adaptive Alternating Direction Method For The Multiarea Economic Dispatch Problem, Yaming Ren, Shumin Fei, Haikun Wei
Turkish Journal of Electrical Engineering and Computer Sciences
The alternating direction method has been used widely in the power systems field for solving the multiarea dispatch problem. However, experience with applications has shown that the convergence rate of the alternating direction method depends significantly on the selection of the penalty parameter of the linear consistency constraint. Typically, it is difficult to obtain the optimal penalty parameter in advance. In this paper, for the purpose of solving this problem, we propose centralized and distributed self-adaptive penalty parameter strategies that allow the value of the penalty parameter to increase or decrease based on the information from each iteration. Simulation results …
Variation Of Photovoltaic System Performance Due To Climatic And Geographical Conditions In Turkey, Betül Bektaş Eki̇ci̇
Variation Of Photovoltaic System Performance Due To Climatic And Geographical Conditions In Turkey, Betül Bektaş Eki̇ci̇
Turkish Journal of Electrical Engineering and Computer Sciences
This study focuses on the effect of climatic and geographical factors on the performance of photovoltaic systems. For this purpose, 4 different cities (Antalya, İstanbul, Elazığ, and Erzurum) from different climatic zones according to TS 825 Thermal Insulation Requirements in Buildings were selected. The monthly average global and diffuse solar radiation of the cities was calculated numerically with the long-term sunshine duration data (between 1990 and 2012) taken from the Turkish State Meteorological Service. The yearly electric energy generated by the grid-connected photovoltaic systems assumed to be located on the flat roofs of building samples were calculated for each of …
Firefly Algorithm With Multiple Workers For The Power System Unit Commitment Problem, Banumalar Koodalsamy, Manikandan Bairavan Veerayan, Chandrasekaran Koodalsamy, Sishaj Pulikottil Simon
Firefly Algorithm With Multiple Workers For The Power System Unit Commitment Problem, Banumalar Koodalsamy, Manikandan Bairavan Veerayan, Chandrasekaran Koodalsamy, Sishaj Pulikottil Simon
Turkish Journal of Electrical Engineering and Computer Sciences
This paper proposes an improved firefly (FF) algorithm with multiple workers for solving the unit commitment (UC) problem of power systems. The UC problem is a combinatorial optimization problem that can be posed as minimizing a quadratic objective function under system and unit constraints. Nowadays, highly developed computer systems are available in plenty, and proper utilization of these systems will reduce the time and complexity of combinatorial optimization problems with large numbers of generating units. Here, multiple workers are assigned to solve a UC problem as well as the subproblem, namely economic dispatch (ED) in distributed memory models. The proposed …
Iec 61850-Based Islanding Detection And Load Shedding In Substation Automation Systems, Cagil Ozansoy, Keith Frearson
Iec 61850-Based Islanding Detection And Load Shedding In Substation Automation Systems, Cagil Ozansoy, Keith Frearson
Turkish Journal of Electrical Engineering and Computer Sciences
Distributed generation (DG) systems are common within industrial plants and allow continuity of supply to critical loads. In cases when DG cannot support the entire system load, islanding detection (ID) and load shedding (LS) schemes are required. Such an automation scheme serves to monitor the connection to the grid and generation-load imbalance, and it controls the load shedding process. The design of such schemes has undergone significant revolution from electromechanical relays and PLC systems to the use of communications-enabled intelligent electronic devices. This paper discusses the design of an IEC 61850-based smart ID and LS scheme using a complete system …
Leveraging Linked Open Data Information Extraction For Data Mining Applications, Rajesh Mahule, Om Prakash Vyas
Leveraging Linked Open Data Information Extraction For Data Mining Applications, Rajesh Mahule, Om Prakash Vyas
Turkish Journal of Electrical Engineering and Computer Sciences
The linked open data cloud, with a huge volume of data from heterogeneous and interlinked datasets, has turned the Web into a large data store. It has attracted the attention of both developers and researchers in the last few years, opening up new dimensions in machine learning and knowledge discovery. Information extraction procedures for these processes use different approaches, e.g., template-based, federated to multiple sources, fixed depth link traversal, etc. They are limited by problems in online access to datasets' SPARQL endpoints, such as servers being down for maintenance, bandwidth narrowing, limited numbers of access points to datasets in particular …