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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
 454   455   456   457   458 
A Security Mechanism Based on Authenticated Diffie-Hellman for WSN Xin Yu; JianJun Fang; ZhaoLi Zhang
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 6: June 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Wireless sensor network (WSN) has been widely used in industrial technology, national defense,  robotic system[1], medical and health field. But it is hedged about in various fields due to its security problem. Through the analysis of the characteristics of Bluetooth WSN and its security architecture, this paper gives out a security scheme for Bluetooth WSN including piconet and scatternet. This scheme based on improved Diffie-Hellman achieves authentication in the Bluetooth WSN and defeats threats derived from Bluetooth link-level. DOI: http://dx.doi.org/10.11591/telkomnika.v11i6.2693
Variable Speed Control Using Fuzzy-PID Controller for Two-phase Hybrid Stepping Motor in Robotic Grinding Adnan Jabbar Attiya; Salam Waley Shneen; Basma Abdullah Abbas; Yang Wenyu
Indonesian Journal of Electrical Engineering and Computer Science Vol 3, No 1: July 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v3.i1.pp102-118

Abstract

In a robotic grinding process, a light-weight grinder is held by an intelligible robot arm. Material removal is carried out by the rotating grinding tool while the end effector of robot guarantees that the tool follows a programmed path in order to work on complex curved surfaces. Grinding tool is driven by Two-Phase Hybrid Stepping motor derive. This work aims to develop a controller based on fuzzy logic to improve the speed control performance of Two-Phase Hybrid Stepping motor derive in order to achieve a controller that provides grinding with higher quality. The analysis and design of PID-Fuzzy controller to improve the response of the motor speed were studied. This paper simulates six motor speed input conditions. The simullink package of the MATLAB. Comparison between the conventional PID controller and Fuzzy-PID output was done on the basis of the simulation result obtained by MATLAB. The simulation results demonstrate that the designed Fuzzy-PID controller realize a good dynamic behavior of the Two-Phase Hybrid Stepping motor, a perfect speed tracking with less rise and settling time, minimum overshoot, minimum steady state error and give better performance compared to conventional PID controller.
Multidimensional Coefficient Approach to Comfort Evaluating for High-speed Train Wang Hai Yong; Wang Xiao Ming; Dang Jian-wu
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 3: March 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

In the complex operation environment of high-speed trains, the comprehensive evaluation index systems with high scientificity and measurability have been established after the all-round analysis of various effects on comfort for high-speed train. Meanwhile, a comprehensive evaluation method on comfort for high-speed train has been built by the rough set theory and multidimensional coefficient theory. The real examples have shown that the evaluating process is scientific, intuitive and convenient. DOI : http://dx.doi.org/10.11591/telkomnika.v12i3.4363
A vision-based real-time obstacle avoidance’s rules utilising grid-edge-depth map Budi Rahmani; Agus Harjoko; Tri Kuntoro Priyambodo
Indonesian Journal of Electrical Engineering and Computer Science Vol 19, No 1: July 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v19.i1.pp513-525

Abstract

This paper presents a new rules-based of a real-time decision system for an autonomous wheeled robot with the holonomic-drive system. The robot uses decisions to avoid collisions with obstacles. The decision rules based on Grid-Edge-Depth Map. The Grid-Edge-Depth map represents the obstacle’s position and distance in the environment. The generation process of the Grid-Edge-Depth map presented in previous research. The decisions of the first scenario with no destination point are forward, stop, 90o right turn, and 90o left turn. The decisions of the second, and third scenarios with a destination point are forward, stop, 90o right turn, 90o left turn, 45o forward to the right, 45o forward to the left, slide to the right, and slide to the left. The proposal tested in a 5x3 metre living environment. Finally, the experiment resulted in 93.3% of navigation’s success for all the scenarios.
Optimising the parameters of a RBFN network for a teaching learning paradigm Pamela Chaudhury; Hrudaya Kumar Tripathy
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 1: July 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v15.i1.pp435-442

Abstract

Academic performance of students has been a concern worldwide. Despite efforts made by educational institutions there has been a rise in poor academic performance. In our research study we have proposed a model to pre-determine the academic performance of students using a Radial Basis Function network (RBFN) using primary data. The proposed model has been developed by using algorithms like differential evolution (DE) and teaching learning based optimization (TLBO). This model can be used by academic institutions to identify the academically weaker students and take preventive steps to reduce the number of academic failures.
Passenger Flow Forecasting using Support Vector Regression for Rail Transit Bin Xia; Fanyu Kong; Songyuan Xie
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.pp4840-4848

Abstract

Support vector regression is a promising method for the forecast of passenger flow because it uses a risk function consisting of the empirical error and a regularized term which is based on the structural risk minimization principle. In this paper, the prediction model of urban rail transit passenger flow is constructed. It is to build an urban rail transit passenger flow forecast model and select the optimal parameters from the support vector regression through the variable metric method to obtain the minimal value from the LOO error bounds. The passenger flow is forecast by means of both support vector regression method and BP neural network method, and the results show that the support vector regression model has such theoretical superiority as minimized structural risk, thus having a higher forecasting accuracy under small sample conditions for short-term rail transit passenger flow, which predicts the promising forecasting performance that the method has.
Energy-Efficient Skycube Query Processing in Wireless Sensor Networks Zhi-qiong Wang; Shi-kai Jin; Ke Gong
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 10: October 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

With the wide application of wireless sensor network in many domains of the national economy, more and more researchers pay attentions to data management of wireless sensor network. As the main means of multi-decision and data mining, skyline query in wireless sensor network gradually becomes a focus of the researches. Resent years, skycube, an important variation of skyline query, has been deeply discussed, but due to the special properties of wireless sensor network, existing approaches could not be directly applied into the sensor environment. In this paper, skycube query in wireless sensor network is further researched and a new skycube query algorithm based on extended skyline (SCAES) is proposed in certain environment, and a new threshold skycube query algorithm based on threshold extended skyline (p-SCAES) is proposed in uncertain environment. SCAES algorithm shifts the necessary data from the network based on extended skyline and filters the data that do not belong to skycube. p-SCAES brings in the probability threshold mechanism to decrease the data transmission. Therefore, the number of data transmission in both SCAES and p-SCAES is reduced as a consequence. The experimental results show that both SCAES and p-SCAES could greatly reduce the data transmission no matter in certain or uncertain environments, while calculating the correct skycube of the network, and prolong the life span of the wireless sensor network. DOI: http://dx.doi.org/10.11591/telkomnika.v11i10.3705
An exploratory study in conceptualizing user view on digital taste using design thinking Afdallyna Fathiyah Harun; Juhaida Ismail; Ho Yun Shiang; Nor Laila Md Noor; Hanif Baharin; Saiful Izwan Suliman
Indonesian Journal of Electrical Engineering and Computer Science Vol 17, No 1: January 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v17.i1.pp379-388

Abstract

Experiencing food involves accumulation of multiple senses, experienced through visuals, auditory and palatability. There has been significant growth in digitizing taste using electrical and thermal components to stimulate taste sensations where users need to lick devices or place a metal peripheral on their tongue. Such unnatural interaction appears undesirable motivating us to explore if taste experience could be stimulated by just viewing food visuals. This places considerable emphasis on understanding user association to food visuals and perceived food taste. Inability to understand their needs before-hand may result into a system with poor potentiality to trigger taste experience and not excite them to try the food they view on a digital platform. Using Design Thinking as an approach, we were able to identify user perceptions and expectations from food visuals as well as their desires on how images could trigger their interest to try the food. This paper presents the findings from the excursions and how this affected our strategy for the next phase of our research.
Calculation of Electric Field Characteristics of Insulator Under Sandstorm Condition Zhao Shanpeng; Zhang Youpeng; Chen Zhidong; Dong Haiyan
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

Sandstorm has influence on the the electrical properties of outdoor insulator, and the analysis of the electric field characteristics of insulator under sandstorm condition is very important. The electrostatic field finite element method (FEM) is used to calculate the electric field distribution along long rod insulator under sandstorm condition with FEM software after calculating the one under clean condition. The results of calculation show that the sand deposition decreases the electric field strength of insulator covered with sand, and increases the field strength of the corresponding shed key points. The electric field strength of the non-sand region will increase, when the non-sand region appears in sand layer on insulator. Suspended sand particles in the ambient air can distort the electric field distribution along insulator, and which is significantly affected by the size, the quantity, the charge-to-mass ratio and the charge polarity of sand particles. DOI : http://dx.doi.org/10.11591/telkomnika.v12i2.3902
Cavity Vertex Regeneration through Optimal Energy Model for Restoration of Worn Parts Jian Gao; Xiangping Zeng; Xu Zhang; Xin Chen; Detao Zheng
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 5: May 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Restroration of worn parts is a key technique in remanufacturing engineering. It is also a popular research topic in the domain of sustainable manufacturing. To tackle the difficult problem of obtaining a reference model for repair of worn parts, this paper proposed a novel approach to regenerate the vertices over the worn cavity. After a brief description of the repair process, this paper focuses on the optimal energy model establishment. Based on the energy model the vertices of the worn cavity can be regenerated. Error calculation of the vertices recreated to the original model is proposed to search the shortest distance. These algorithms proposed were implemented in the repair system through Visual C++6.0. Several examples of worn parts are presented to illustrate the feasibility of the method. The testing result shows that the vertex regenerated through the optimal energy model can satisfy the requirement of accurate geometry regeneration for repair of worn parts. Finally, conclusions are drawn and further research work is discussed. DOI: http://dx.doi.org/10.11591/telkomnika.v11i5.2479

Page 456 of 920 | Total Record : 9199

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