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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
 407   408   409   410   411 
The Research on CC2530 Nodes Communicating with Each Other Based on Wireless Zhenghua Xin; Hong Li; Liangyi Hu
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 1: January 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

This work has completed the communication between the CC2530 coordinator and the child CC2530 nodes based on the Zigbee protocol. In this system, the object is detected by the CC2530 ultrasonic nodes. The distance is calculated and the message is formed. The message is sent to the coordinator by IIC bus which includes the control instruction. The coordinator receives the control information and will issue a command to control alcohol sensor to control the motor interface. The system can control the motor forward, backward and keep the DC motor still. The system can be widely used in agriculture and other fields. DOI: http://dx.doi.org/10.11591/telkomnika.v11i1.1919
Variable Step Size Blind Equalization based on Sign Gradient Algorithm Ying Xiao; Fuliang Yin
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 7: July 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i7.pp5491-5498

Abstract

This work proposes a variable step size sign gradient algorithm to solve the problem of blind equalization under impulse noise environment. This algorithm suppresses the impulse noise interference effectively because of the sign operation on the instantaneous gradient based on constant modulus algorithm (CMA) cost function. Meanwhile, the excess mean square error can be further reduced by use of a variable step size algorithm based on the iterative times and the reliability of the output signal. Simulation results show that, the variable step size blind equalization based on sign gradient algorithm has the fastest convergence rate and the lowest steady state residue error compared with the fractional low order CMA, the nonlinear transform CMA and stop-and-go CMA.
Hybrid Collision Culling by Bounding Volumes Manipulation in Massive Rigid Body Simulation Norhaida Mohd Suaib; Abdullah Bade; Dzulkifli Mohamad
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

Collision detection is an important aspect in many real-time simulation environments.  Due to its nature of high Computation involved, collision detection can contribute to the bottleneck on the system involving large number of interacting objects.  This paper focuses on finding options to efficiently cull away object pairs that are not likely to collide in large-scale dynamic rigid-body simulations involving n-body objects.  The main idea is to perform time critical computing concept by manipulation of potential bounding volume techniques.  In order to take advantage of a fast collision test and a more accurate result, a hybrid collision culling approach based on sphere - or-Dops was used.  Based on initial results, this approach shows a potential adaptation to a massive rigid body simulation. DOI: http://dx.doi.org/10.11591/telkomnika.v11i6.2656
An Improved Constrained Engineering Optimization Design Algorithm Yuxin Sun; Qinghua Wu; Xuesong Yan
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 11: November 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i11.pp7079-7978

Abstract

Many engineering optimization problems can be state as function optimization with constrained, intelligence optimization algorithm can solve these problems well. Particle Swarm Optimization (PSO) algorithm was developed under the inspiration of behavior laws of bird flocks, fish schools and human communities. In this paper, aim at the disadvantages of standard Particle Swarm Optimization algorithm like being trapped easily into a local optimum, we improves the standard PSO and proposes a new algorithm to solve the overcomes of the standard PSO. The new algorithm keeps not only the fast convergence speed characteristic of PSO, but effectively improves the capability of global searching as well. Experiment results reveal that the proposed algorithm can find better solutions when compared to other heuristic methods and is a powerful optimization algorithm for engineering optimization problems.
An Intelligent Temperature Controller for the Insulation Tool Storeroom of Power System Chunzhi Wang; Siwei Wei
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

The storeroom of live working insulated tools of power system has some special requirements such as temperature and humidity. In general, the temperature is stabilized at a particular value and the humidity is higher than a certain value. The storeroom temperature and humidity are mainly controlled by the heater, dehumidifier and air-conditioning compressor. In order to well maintain the stability of the temperature, fuzzy neural network is used to control temperature which makes parameters and rules optimized by the neural network learning. So the designed controller has strong self-adapting character in controlling process. In order to improve learning speed, GA algorithm is used to optimize those initial values of fuzzy reasoning networks. And in order to overcome the shortcoming of local optimization, designed learning parameters can be adjusted according to error and error change in training. Simulating experiment shows that the designed controller has better controlling effect than other conventional controller and which can be used in the storeroom of live working insulation tools in power system. DOI : http://dx.doi.org/10.11591/telkomnika.v12i3.4448
Mobile edge computing for internet of things (IoT): security and privacy issues Atiqur Rahman; Guangfu Wu; Ali Md Liton
Indonesian Journal of Electrical Engineering and Computer Science Vol 18, No 3: June 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v18.i3.pp1486-1493

Abstract

Nowadays, the masonry for environment-friendly and protected network structure designs, for example, the Internet of Things and gigantic data analytics are increasing at a faster pace compared to an earlier state. Mobile edge computing for an Internet of Things widget is information processing that is achieved at or close to the collectors of information in an Internet of Things system. Herein, we are proposing to temporarily evaluation the concepts, features, protection, and privacy applications of Internet of Things authorized mobile edge computing with its data protection view in our data-driven globe. We focus on illuminating one of kind components that need to be taken into consideration whilst creating a scalable, consistent, impenetrable and disseminated mobile edge computing structure. We also sum up the fundamental ideas regarding security threat alleviation strategies. After that, we walk around the existing challenges and opportunities in the area of mobile edge computing. In conclusion, we analyze a case study, in which a security protection mechanism can be hardened to lift out everyday jobs.
Design and Implementation of Embedded Processor Based Brushless Motor Drive using Lead Acid Battery as Source with Lithium Ion Capacitor Sathishkumar Shanmugam; Meenakumari Ramachandran
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 3: June 2015
Publisher : Institute of Advanced Engineering and Science

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Abstract

For the past two decades, Brushless DC motor has become more efficient and robust motor in industrial applications due to their simplicity in structure, reliability, good mechanical properties. The absence of brushes features these motors similar to AC motors whereas their speed performance is nearly equal to that of the DC motors. Thus the combined advantages of AC and DC motors make these motors more efficient in various applications. The design was based on the output equation similar to that of conventional dc machines. This generates high-resolution PWM outputs, used to control the switching pattern of the BLDC Inverter. By varying the PWM signal produced from the microcontroller, the speed of the motor can be varied. The Hall Effect sensing unit gives information about the rotor position and based on this rotor information, switching sequence of the MOSFET is decided. The firing pulses to the gate of the MOSFET are given by the Control Signal Generation Module. Based on the developed model simulation studies are performed in Matlab/Simulink environment and hardware implementation of BLDCM drive using Lead acid battery as source With Lithium ion capacitor   system is done and  results were analysed  using Digital Scope Oscilloscope (DSO) and output Carried Out Sucessfully.  DOI: http://dx.doi.org/10.11591/telkomnika.v14i3.7938
Multifield Coupling Analysis of Integrated Motor Propulsor Liang Jinghui; Zhang Xiaofeng; Qiao Mingzhong; Li Geng
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 7: November 2012
Publisher : Institute of Advanced Engineering and Science

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Abstract

A novel Integrated Motor Propulsor (IMP) is designed and analyzed in this paper. This IMP uses permanent magnet motor as its propelling machine , employs Halbach array on its rotor, and has a thinner rotor and bigger airgap. As owning complex structure and complicated working condition, IMP itself involves in the cross of multyple physics, and traditional analysis method can not meet with the needs in the design and calculation of this device. In this paper, A field-circuit-motion coupled time-stepping finite element analysis (FEA) model is presented to analyze the field-circuit coupled model of this device, cosidering influence from external circuit (for example, inverters). Multi-field coupling method is used and electromagnetism-thermal coupled model is established and direct coupling method is given to calculate electromagnetism-thermal coupling problem, considering interactions between two fields. At the end of this paper, according to the comparison between experiment and calculation results, effectiveness of the method presented above is verifid. DOI: http://dx.doi.org/10.11591/telkomnika.v10i7.1220
A Preprocessing and Analyzing Method of Images in PDF Documents for Mathematical Expression Retrieval Xuedong Tian; Botao Yu; Jing Sun
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 6: June 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

PDF documents are the important information resources for a mathematical expression retrieval system. As a major component of PDF documents, the image objects must be converted to coded form with the help of character recognition and document analysis technology firstly for content based searching. Therefore, the quality of these images becomes the key factor which decides the correctness in this conversion process. Considering the characteristics of PDF images and mathematical expressions, a preprocessing and analyzing method was proposed which includes the modules of PDF image extraction, graying, binarization, denoising, skew correction and layout parameter detection. The features of mathematical expressions were adequately considered to avoid the information loss in image converting process and the adverse interference both to the analysis and correction process resulted from formulas. The experimental results show that the method is effective in improving the accuracy and efficiency of document image recognition, analysis and retrieval. DOI : http://dx.doi.org/10.11591/telkomnika.v12i6.5440
Face Detection Algorithm Based on Multi-orientation Gabor Filters and Feature Fusion Chuan Lin; Xi Qin; Guo-liang Zhu; Jiang-hua Wei; Cong Lin
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

In order to enhance the accuracy of multi-pose and multi-expression face detection, this paper proposes an algorithm based on multi-orientation Gabor feature fusion of mean and variance of sub-images. Firstly, to remove the huge background regions, we segmented images based on YCbCr space and then used two-eye templates to locate faces in skin-color regions by template matching. Secondly, the features were extracted from the face regions which had been removed the nose parts. After filtering by four-direction Gabor filters, the images were divided and then the corresponding constituent parts were formed. Thirdly, we calculated the mean and variance of the constituent parts block by block and processed them with features fusion. At last Support Vector Machine (SVM) and Back Propagation net (BP) were used for classification detection. The experimental results show that the algorithm has higher detection accuracy than other similar algorithms in multi-pose and multi-expression facial detections. DOI: http://dx.doi.org/10.11591/telkomnika.v11i10.3432  

Page 409 of 920 | Total Record : 9199

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