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INDONESIA
Indonesian Journal of Electrical Engineering and Computer Science
Published by Institute of Advanced Engineering and Science
ISSN : 25024752     EISSN : 25024760     DOI : -
Core Subject :
Arjuna Subject : -
Articles 9,226 Documents
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An Effective and Trustable Spatial Service Recommendation Algorithm for Spatial Query Retrieval In Geo-Social Network K. Lakshmaiah; S. Murali Krishna; B. Eswara Reddy
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 3: December 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i3.pp1222-1229

Abstract

The spatial information (e.g., restaurants/hotels) is related with the keyword(s) to indicate their businesses, services and features. The main issue of relevant information retrieval is to query an entity which includes a set of spatial query keywords and have the smallest amount of inter-object distance. The spatial queries with keywords have not been extensively explored. Still, the traditional method was focused on the multidimensional data. Previous works mostly targeted to predict the top-k Nearest Neighbors keyword query, where every keyword should be equivalent to the whole querying keywords. However, the mechanism does not consider the density of data entities in the spatial space. To overcome the above issues, An Effective and Trustable Spatial Service Recommendation (ETSSR) algorithm focuses on the most relevant information retrieval with the enhanced accuracy and minimal retrieval time for spatial information services. The main goal of work is to provide best spatial information retrieval with an accurateness of location prediction and minimal information retrieval time. The system minimizes the classification issue and visualization problem for spatial information in Geospatial Social network. The system improves the spatial information retrieval with an accuracy of location prediction and minimizes the information retrieval time compare than existing methods. Based on Experimental estimations, proposed ETSSR+KNN enhanced 0.48 P (Precision) and 0.49 R (Recall) and minimized 28 milliseconds query retrieval time.
Optimal Asymmetric S-shape Acceleration/Deceleration for Multi-axial Motion Systems Chang-yan Chou; Shyh-Leh Chen
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 6: June 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i6.pp4778-4786

Abstract

In this study, an optimization algorithm is proposed for asymmetric s-shape acceleration/deceleration to achieve better contour accuracy for biaxial systems. The optimization is based on the method of genetic algorithm incorporated with the constraints made by the motion system. Numerical simulations of an XY table driven by linear motors following a simple cornering path verify the effectiveness of the proposed algorithm.
A Novel Watermarking Algorithm based on SURF and SVD Wei Wang; Wenhui Li; Chengxi Wang; Huijie Xin
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 3: March 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Protection against geometric distortions and common image processing operations becomes a much challenging task in image watermarking. To achieve this, a novel watermarking algorithm based on Speeded Up Robust Features (SURF) and Singular Value Decomposition (SVD) was presented for digital image copyright protection. By introducing the SURF’s key points matching and geometric distortion estimation, the attacked watermarked image could be corrected and the watermark synchronization was realized. In this way, the feature regions of the host image, which were used for information hiding, could be correctly detected by the improved Harris-Laplace corner detector even after signal processing and geometric attacks. Finally, the watermark information were embedded into the U matrix of SVD of the host image. The application of the proposed scheme makes the watermark capable of transparent hiding. Extensive experimental results demonstrate that our technique performs better than traditional methods under different attacks. DOI: http://dx.doi.org/10.11591/telkomnika.v11i3.2305
Optimal utilization of automated distributed generation in smart grid using genetic algorithm Ayman Hoballah; Yasser Ahmad; Kamel A Shoush
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 1: October 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i1.pp82-91

Abstract

Distributed generation (DG) is an essential attributor in smart grid to fulfill the uncontrollable increase in the demand for energy. Artificial intelligent optimization techniques are widely used within automation systems for guarantee the optimal operation and utilization of DG allocation on the day-ahead power scheduling. In this paper, the genetic algorithm technique used for obtaining the optimal utilization of the automated operation of distributed generation for power losses and total cost minimization as well as user comfort maximization considering all operating constraints technique. Distributed generation represented by fuel cells to supply part of the daily demand in the power system. The target is to apply decision-making strategy of smart operation for economical and reliable operation of power system. Concentrated fuel cell units considered representing the available DG at the load centers. The methodology applied to the 11-bus test system. The simulation results have demonstrated that the GA capability for full automation of DGs in a smart manner within the power system for economic and safe operation
Improved wind system using non-linear power control Yasmine IHEDRANE; Chakib El Bekkali; Madiha El Ghamrasni; Sara Mensou; Badre Bossoufi
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 3: June 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v14.i3.pp1148-1158

Abstract

This article, present a new contribution to the control of wind energy systems, a robust nonlinear control of active and reactive power with the use of the Backstepping and Sliding Mode Control approach based on a doubly fed Induction Generator power (DFIG-Generator) in order to reduce the response time of the wind system. In the first step, a control strategy of the MPPT for the extraction of the maximum power of the turbine generator is presented. Subsequently, the Backstepping control technique followed by the sliding mode applied to the wind systems will be presented. These two types of control system rely on the stability of the system using the LYAPUNOV technique. Simulation results show performance in terms of set point tracking, stability and robustness versus wind speed variation. 
Bi-objective Scheduling with cooperating Heuristics for Embedded Real-Time Systems Sonia Sabrina Bendib; Hamoudi Kalla; Salim Kalla
Indonesian Journal of Electrical Engineering and Computer Science Vol 9, No 3: March 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v9.i3.pp789-798

Abstract

This paper proposes Makespan and Reliability based approach, a static sheduling strategy for distributed real time embedded systems that aims to optimize the Makespan and the reliability of an application. This scheduling problem is NP-hard and we rely on a heuristic algorithm to obtain efficiently approximate solutions. Two contributions have to be outlined: First, a hierarchical cooperation between heuristics ensuring to treat alternatively the objectives and second, an Adapatation Module allowing to improve solution exploration by extending the search space. It results a set of compromising solutions offering the designer the possibility to make choices in line with his (her) needs. The method was tested and experimental results are provided
Grey wolf optimizer based fuzzy-PI active queue management design for network congestion avoidance Sana Sabah Sabry; Nada Mahdi Kaittan
Indonesian Journal of Electrical Engineering and Computer Science Vol 18, No 1: April 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v18.i1.pp199-208

Abstract

Congestion is one of the most important issues in communication networks which has attracted much research attention. To ensure a stable TCP network, we can use active queue management (AQM for early congestion detection and router queue length regulation. In this study, it was proposed to use the Grey Wolf Optimizer (GWO) algorithm in designing a fuzzy proportional integral (fuzzy-PI) controller as a novel AQM for internet routers congestion control and for achieving a low steady-state error and fast response. The suggested Fuzzy logic-based network traffic control strategy permit us to deploy linguistic knowledge for depicting the dynamics of probability marking functions and ensures a more accurate use of multiple inputs to depict the   the network’s state. The possibility of incorporating human knowledge into such a control strategy using Fuzzy logic control methodology was demonstrated. The postulated controller was compared to proportion integral (PI) through several MATLAB simulation scenarios. The results indicated the stability of the postulated controller and its ability to attain a faster response in a dynamic network with varying network load and target queue length.
Research on Collaborative Mechanism of data Warehouse in Sharing Platform Quanhong Sun; Qi Xu
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 2: February 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

With the development of distributed computing technology, there remain some important problems of collaborative control in distributed multi-user data sharing: heterogeneous environment, data consistency and concurrent operation. To solve the sharing issues in drilling engineering, this paper introduces a method of realizing information sharing by combining the advantages of multi-agent collaborative working mechanism and data warehouse technology. Firstly, the structure of multi-agent collaborative working mechanism is put forward based on distributed data warehouse, in which the underlying data layer adopts the distributed data warehouse to organize the information, and the model of that is set up by dimensional modeling technology. Then the information sharing platform and multi-user access controlling method are analyzed, and the collaborative model is put forward. Finally through the multi-agent interaction, the management and sharing of all kinds of information in DDW can be realized. So the application of multi-agent and DDW technology can maximize the value of drilling information and play an important role in improving data sharing degree. DOI : http://dx.doi.org/10.11591/telkomnika.v12i2.4411
Remote Controlling and Monitoring of Induction Motors Through Internet Abdülkadir Çakir; Hakan Çalis; Gökhan Turan
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 12: December 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Electric motors are workhorse of the industry. Induction motors are used more commonly than the other electric motors because of being low cost, robustness, and requiring less maintenance (especially squirrel-cage types), and able to work in harsh conditions. In this study, simultaneously remote powering of three separate single phase motors or one three-phase induction motor, when it is requested continuously remote data collection of motor currents, voltages, and remote monitoring of motor status are implemented. Moreover, preventing motors not running on low or high voltage conditions and allowing to run when the values return to nominal rates are provided. The design consists of PIC18F4620 microcontroller connected with ethernet board, sensor cards and control card. The developed software and HTML labels belonging to web interface are embedded in the microcontroller. The serial ethernet board contains HTML labels in its buffer memory. Thus, instead of using a separate host computer the serial ethernet board does the same hosting job. The remote powering of induction motors was done by the help of any device connecting to the internet with using an IP number assigned to the serial ethernet board. http://dx.doi.org/10.11591/telkomnika.v12i12.6719 
A comparative Study on Similarity Measurement in Noisy Voice Speaker Identification Inggih Permana
Indonesian Journal of Electrical Engineering and Computer Science Vol 1, No 3: March 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v1.i3.pp590-596

Abstract

One of important part on speaker identification is the measurement of sound similarity. This study has compared two of the similarity measurement techniques in the noisy voice. First technique is done by using smallest vector sum of pairs and second technique is done by using frequency of occurrence of smallest vector pairs. Noise in the voice can reduce accuracy of speaker identification significantly. To overcome this problem, the two of similarity measurement was combined with Least Mean Square (LMS) for remove noise. Results of the experiments showed that the use of LMS can improve the accuracy of speaker identification at the two of similarity measurement techniques. Second technique produces better accuracy than first technique. Experimental result also showed improvement of LMS learning rate can improve the accuracy of speaker identification.

Page 212 of 923 | Total Record : 9226

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