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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 9,199 Documents
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A distributed trust mechanism for malicious behaviors in VANETs Ali Kamil Ahmed; Mohanad Najm Abdulwahed; Behnam Farzaneh
Indonesian Journal of Electrical Engineering and Computer Science Vol 19, No 3: September 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v19.i3.pp1147-1155

Abstract

Vehicular ad-hoc networks (VANETs) are one of the most important types of networks which are widely used in recent years. Along with all the benefits of quality of service (QoS) improvements, vulnerability analysis for this type of networks is an important issue. For instance, a gray-hole attack decreases network performance. We proposed a novel solution to help to secure these networks against this vulnerability. The proposed method can detect and prevent the gray-hole attack. Anywhere in the network, each node (vehicle) can distinguish between the gray-hole attack and the failed link. Some topology related information helps us to detect attacks more accurately. Also, the proposed method uses the most reliable path in terms of link failure when there is no malicious node. In this paper, we used the TOPSIS method for choosing the most trusted node for routing intelligently. We validated our proposal using a simulation model in the NS-2 simulator. Simulation results show that the proposed method can prevent Gray-hole attack efficiently with low overhead.
Kalman Filter Localization Algorithm Based on SDS-TWR Ranging Liu Wei; Zou Jian; Wang Chunzhi; Xu Hui
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

Node localization is the basic mechanism for wireless sensor networks. Which location data is indispensable information in the monitoring of events.In this paper,we proposed a new algortithm which is the Kalman filter localization algorithm based on SDS-TWR ranging method in order to solve the problem of node localization.Firstly,we use SDS-TWR algorithm to rang distance between the archor nodes  and unknown node .Then, We sketchy calculate the unknown node coordinates using weighted maximum likelihood estimation(WMLE) method.Lastly, We use the Kalman filter algorithm to optimize the coordinates of the second step. The experimental results show that the algorithm can effectively improve the positioning accuracy of the system and achieve the desired objectives. DOI: http://dx.doi.org/10.11591/telkomnika.v11i3.2225
Single-winding Regulation Mode of Controllable Reactor of Transformer Type Liu Yibin; Tian Mingxing; Yin Jianning
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 9: September 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i9.pp6544-6550

Abstract

It is an important part to select the regulation mode in the design and manufacture of a controllable reactor of transformer type(CRT).Based on the circuit equations expressed by the self and mutual inductance, the piecewise expressions of the instantaneous current in work winding in the single-winding regulation mode are obtained, and then the formula for calculating the RMS of each harmonic current in work winding is derived by Fourier series decomposition. At last, the control characteristics of CRT and the curves of the RMS of harnonic currents with reference to the output power in three typical single-winding regulation modes are presented and their advantages and disadvantages are compared in the sample, which provides a reference for the design of CRT.
Global Exponential Stability Analysis of Dynamic Neural Networks with Distributed Delays Songhe Jin; Dianbo Ren; Lei He
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 12: December 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

In this paper, the existence, uniqueness and globally exponential stability of the equilibrium point of a dynamic neural network with distributed delays were studied without assumption of boundedness and differentiability of activation functions. Sufficient criteria for existence, uniqueness and global exponential stability of the equilibrium point of such neural networks were obtained based on the knowledge of M-matrix, topology and Lyapunov stability theory. A test matrix was constructed by the weight matrix and the conditions satisfying activation functions of the neural networks. A neural network has a unique equilibrium point and is globally exponential stable if the test matrix is an M-matrix. Since the criterion is independent of the delays and simplifies the calculation, it is easy to test the conditions of the criterion in practice. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.2548
Segmentation of the human body based on frequency of human electromagnetic radiation Siti Zura A. Jalil; Siti Armiza Mohd Aris; Nurul Aini Bani; Mohd Nabil Muhtazaruddin; Sahnius Usman
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.pp268-275

Abstract

This paper discusses the body segment recognition based on human electromagnetic radiation frequency. Twenty-three points of human electromagnetic radiation are studied experimentally from thirty-three healthy human subjects. Three human body segments are considered, namely Left, Right and Chakra. For the purpose of recognition, k-Nearest Neighbor (KNN) algorithm is used to classify the segments of the human body. Then, the performances of classification are determined based on the accuracy and Receiving Operating Characteristic (ROC) analysis. It is found that the proposed technique accurately classifies the body segments with 100% accuracy, thus suggest that the proposed technique is significant to classify human body segments.
Electrical Vehicle Modeling and Backstepping Control Mekkaoui Mohammed; Zemalache Meguenni Kada; Omari Abdel Hafid; Lotfi Motefai
Indonesian Journal of Electrical Engineering and Computer Science Vol 1, No 1: January 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v1.i1.pp60-70

Abstract

Nowadays, the development of electric vehicles has become a general trend. Electrical vehicles have improved their performance, and have been made suitable for commercial and domestic use during the last decades. The proportional–integral–differential (PID) controller has been widely used in the industrial field. It has a simple structure, and can be easily realized. The recursive backstepping design methodology is originally introduced inadaptive control theory to systematically construct the feedback control law, the parameter adaptation law and the associated Lyapunov function for a class of nonlinear systems satisfying certain structured properties. the backstepping control (BKC)  is used to improve the robustness and real-time performance of the electrical vehicle system. Numerical simulation results show the effectiveness of this approach.
Research on Technology of Database for the Complex Assembly System Yunpeng Cai
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 4: April 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

Database technology is the key technology to ensure assembly control data validity, completeness, consistency, security in the complex assembly system. A database model supporting complex assembly system was presented based on the requirement analysis of complex assembly system in data storage and extraction. The embedded database was used to storage the share visualization data for portable devices. The spatial database was built to storage the dynamic assemble process message (such as parts, frocks and assemble environment spatial position provided by Indoor GPS system).  The distributed database systems supporting static model data and dynamic assembly process data storage constitute the data framework of complex assembly system. DOI : http://dx.doi.org/10.11591/telkomnika.v12i4.5003
Multi-Field Coupling Mechanism of Electrolytic In-process Dressing- Ultrasonic Honing System Jicai Kuai
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 7: July 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

This paper proposes the ELID (Electrolytic in Process Dressing) ultrasonic honing system, and conducts simulation for the solution - acoustic coupling mechanism of electrolyte between the anion and cathode of ELID ultrasonic honing system. Meanwhile, a comparative experiment is carried out for the ultrasonic honing and ordinary honing. The simulation results show that there is no obvious increase of the coupling speed of the system’s electrolyte, but the rapid change of local speed, which will accelerate the electrolyte renewal around the electrode, thereby intensifying the mass transfer of reactive ion of the electrochemical double layer, increasing the updating speed of ion concentration and speeding up the electrode reaction process; the intense variations of coupling pressure further enhances the updating speed of the electrolyte; Then the electrolytic parameters, ultrasound parameters and honing parameters obtained by simulation are respectively used to conduct experiments of ELID-ultrasound honing, ultrasound honing and traditional honing for ZrO2 ceramic. The comparative experiment results show that the machining accuracy of ELID-ultrasonic honing is 10 times of the traditional honing and twice of the ultrasonic honing; the new acoustic system adopted in ELID-ultrasound honing system reduces the amplitude, so the processing efficiency increase is not significant. This ELID-ultrasonic honing system is more suitable for the ultra-precision honing of certain difficult-to-cut materials. DOI: http://dx.doi.org/10.11591/telkomnika.v11i7.2865
Performance analysis comparison between non mixed-criticality and mixed-criticality system in microcontroller Siti Nurhafizza Maidin; Noor Azurati Ahmad; Kamilia Kamardin; Shamsul Sahibuddin; Syahrizal Fadhlie Sabri
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 2: August 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v15.i2.pp678-687

Abstract

Nowadays, implementation of real-time embedded system or safety-critical in a real-time system is significant within emerging technologies because the system involves many aspects such as safety and task execution without missing deadlines. The main cause of implementation is to avoid catastrophic loss. Besides that, effectuation of the mixed-criticality system in embedded system making system more complex for task execution. For an embedded system, the main component involves real-time scheduling. The implementation of DPM method in real-time scheduling is well known, but in the mixed-criticality system, DPM method is still lacking. In order to cater this problem, Dynamic Power management (DPM) method is deployed onto the microcontroller of the mixed-criticality system to save energy when executing tasks in order to have better performance in the system. The usage of the DPM method in mixed-criticality of microcontroller resulting decrease of 0.82% in LED output voltage value meanwhile, for the LCD output, the voltage value decreased by 1.37% in the home alarm system. Thus, the energy-saving in the microcontroller of the mixed-criticality system using the DPM method is defined.
Design and implementation hamming neural network with VHDL Liqaa Saadi Mezher
Indonesian Journal of Electrical Engineering and Computer Science Vol 19, No 3: September 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v19.i3.pp1469-1479

Abstract

Hamming Neural Network is type of artificial neural network consist of two types of layers (feed forward layers and recurrent layer). In this paper, two inputs of patterns in bianary number were used. In the first layer, two neurons and pure line function were used. In the second layer, three neurons and positive line function were used. Also applied Hamming Neural networks algorithm in three simulation methods (logical gate method, software program coding method and instant block diagram method). In this work in VHDL software program was used and FPGA hardware used.

Page 411 of 920 | Total Record : 9199

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