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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
 156   157   158   159   160 
Effect of increasing the network capacity using device-to-device technology for next generation networks Aws Zuheer Yonis
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.pp303-309

Abstract

Device-to-device (D2D) communication is one of the key technologies in the fifth generation of wireless communication systems, which is defined as direct communication between two mobile users without traversing the base station D2D communication plays an increasingly important role and which improves communication capability and reduces communication delay and power consumption. D2D communication that enables direct communication between nearby mobiles is an exciting and innovative feature of next-generation cellular networks. In order to meet the rising subscriber demands and provide them satisfactory services, D2D communication is being looked upon as an emerging technology of the next generation networks.
Nonuniform Defect Detection of Cell Phone TFT-LCD Display Jahangir Alam S.M.; Hu Guoqing
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 8: August 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i8.pp6036-6046

Abstract

Uneven and Nonuniformity (Mura) of Thin Film Transistor Liquid Crystal Display (TFT-LCD) is a major problem of cell phone display. The different types of uneven and nonuniformity are decreased the performance of TFT-LCD. To economize and increase its performance, it is necessary to detect these kinds of defects. The cause of these types of noisy defects can be stimulated by the material of TFT, intensity of back light, total internal reflection, mirror form of others materials, internal light, and external light. The energy loss and gain in LCD display is another issue to make these uneven and nonuniformity. The objective of this study is to investigate and detect the defects of cell phone display considering some parameters with image analysis. The back side and the front side of the defects have been observed to find the uniqueness of that defects and its model.
Hyper-chaotic LÜ System Simulation Design of Digital Circuit Based on DSP Builder Zhang Xiaohong; Zhang Zhiguang
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

In order to overcome sensitive defects of components deviations and environment defects in analog circuit design, a novel four-dimensional hyperchaotic systems is constructed based on LÜ system. Basic nonlinear dynamics characteristics are analyzed to the new system. By optimizing the design of sampling frequency selection, gain adjustments, parameter configuration etc., the hyperchaotic circuit runs stably while the signal amplitude is reasonably controlled. Curves of the digital chaotic sequence show smooth without jagged shape. The circuit can be applied to other digital realization of chaotic systems with commonality and expandability. Its experimental results fully consistent with phase space structures of the continuous chaotic system, which shows the development of chaotic systems based on FPGA is feasible and practical. DOI: http://dx.doi.org/10.11591/telkomnika.v11i5.2503
Embedded Automated Vision for Double Parking Identification System Norasyikin Fadilah; See Yoon Soon; Hadzfizah Radi
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 3: June 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v10.i3.pp1221-1226

Abstract

The aim of this work is to assist the city administration issue which involve the traffic flow disruption in an urban area. One of the causes of traffic flow disruption is double parking; thus, in this work, an automated double parking identification and alert system was developed using embedded vision system and internet of things. A camera was utilized to acquire the image of a parking area, and the image was processed using Beaglebone Black processor. A computer vision algorithm was developed to process the image using background subtraction, region of interest identification, and color analysis. When a double parked vehicle is detected, the data was sent into the cloud automatically to alert the city administrator for further action. The developed system achieved 91% accuracy in detecting the traffic violation of double parking.
Energy Efficient RF Remote Control for Dimming the Household Applainces Rajesh Singh; Piyush Kuchhal; Anita Gehlot; Sushaban Choudhary
Indonesian Journal of Electrical Engineering and Computer Science Vol 13, No 2: February 2015
Publisher : Institute of Advanced Engineering and Science

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Abstract

During recent years there is a strong trend towards radio frequency (RF) remote controls as it is delivering even more comfort to the users and increased usability with high robustness of the RF links. Lower power consumption with new features and security make RF remote control systems more competitive with widely used IR remote control systems.  In this paper we propose, a RF module based real time system, which is an integrated system designed to control the dimming or speed of the appliances. Zigbee module is used as RF module to establish wireless link between Remote and appliance section having 9600kbs baud rate and range of 100m. Dimming control circuits is part of appliances section which is used to control the appliances corresponding to signals generated by the remote section. This system provides energy efficient solution for household uses. DOI: http://dx.doi.org/10.11591/telkomnika.v13i2.7046 
QCA and CMOS Nanotechnology Based Design and Development of Nanoelectronic Security Devices with Encryption Schemes Devendra K. Verma; P. K. Barhai; V. Nath
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 2: May 2015
Publisher : Institute of Advanced Engineering and Science

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Abstract

In WiMAX/WiFi Wireless Environment the Transfer of Data/Information is vulnerable to external attacks as it takes place through an open-air medium. The Data/Information is vulnerable to Jamming, Detection, Interception, Network Injection, Interruption, Modification, Packet Scrambling, Fabrication, Unauthorised forwarding and Denial-of-Service (DoS). Our Research Work focuses on ‘QCA & CMOS Nanotechnology based Design & Development of Nanoelectronic Security Devices with Encryption Schemes to provide/enhance Security and Privacy for WiMAX/WiFi/Satellite Wireless Communication Systems. The Schemes are based on Dynamic Channel Hopping, Random Channel Selection, Cryptography and Encryption of Information/Data/Control Codes. DOI: http://dx.doi.org/10.11591/telkomnika.v14i2.7485
A Moving Object Detection Algorithm Based On Multiple Judgments Mengxin Li; Jingjing Fan; Ying Zhang; Rui Zhang; Weijing Xu; Dingding Hou
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 the field of moving object detection, the traditional background subtraction method is used broadly, which seems more sensitive to light and shows poor anti-interference performance. Background modeling is the key step of background subtraction method. The Local Binary Pattern (LBP) algorithm is considered to put texture information into the background model, combining color and texture information and an improved background subtraction method proposed. In addition, a new method is proposed combining the inter-frame difference method with improved background subtraction method in this paper. It can overcome traditional methods only using the pixel gray value changes for moving targets detection. The method makes use of dual-threshold to detect moving targets and makes multiple judgments. It not only uses the change of pixel gray value to detect moving targets, but also takes advantage of the number of changed pixels to detect moving targets which we are interested in. The experiments show that the algorithm proposed is adopted to detect the moving target accurately and can resist interferences brought about by the slow slight movements in the scene with better robustness. DOI: http://dx.doi.org/10.11591/telkomnika.v11i10.3338
Faulty sensor detection using multi-variate sensors in internet of things (IoTs) Khaldoon Ammar Omar; Ahmed Dhahir Malik; Ansar Jamil; Hasan Muwafeq Gheni
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.pp1391-1399

Abstract

IoT devices are lightweight and have limited computational capabilities often exposed to harsh environments, which can cause failure on the IoT devices [1, 2].  The failure on the IoT devices is also caused due to limited battery life, hardware failure or human mistakes. Sensor faults can be categorized under one type of hardware failure, such as sensor burn, reduced sensor sensitivity and malfunctioned sensors.  Any faulty on the IoT devices can cause a problem on the overall operation of the IoT system. Traditional ways in the management of IoT devices is a maintenance officer require to check each device every day  [1, 3]. Any faulty devices found needs to be fixed or replaced. This traditional method is not practical and very challenging especially in the management of a large scale deployment of IoT consist of hundreds or thousands devices. Because of this, we proposed a faulty sensor detection and identification mechanism using multivariate sensors. Two methods of decision making are introduced in detecting faulty sensors, which are logical and correlation method that implemented in smart parking system and smart agriculture system accordingly. The logical method compares state of all sensors (ultrasound, IR and hall-effect) in the smart parking system either a parking lot is occupied or available, and then determine the condition of the sensors. The drawback of this method is not able to detect faulty sensor properly for a constant fault, which the sensor reading remains the same value. The correlation method calculates the correlation between all sensors (soil moisture, soil temperature and soil water) in the smart agriculture system. This method uses a moving window technique to calculate the correlation for all sensor over time. Any incomparable and uncorrelated sensor readings means a presence of faulty sensors. Based on the experiment results, the findings shows that the proposed faulty sensor detection mechanism is working properly in detecting faulty sensor in a timely manner.
Registration of Brain Medical Images Based on SURF Algorithm and R-RANSAC Algorithm Zongyun Gu; Li Cai; Yunxia Yin; Yatao Ding; Hongxing Kan
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

This paper proposes a matching method for medical image registration, which combined with SURF(Speeded up Robust Features)algorithm and the improved R-RANSAC(the Randomized of Random Sample Consensus) algorithm. Firstly, this algorithm extracts featured points with SURF algorithm from images and matches similar featured points with Euclidean distance. Secondly, the R-RANSAC algorithm is used to eliminate wrong matches and the SPRT (Sequential Probability Ratios Test) is used to minimize R-RANSAC runtime. Finally, the image registration process is accomplished by estimating space geometric varied parameters according to least square method. The algorithm combines robustness and high efficiency of SURF and high-accuracy of R-RANSAC algorithm. Experimental results show that in the condition of images with noise, non-uniform intensity and large scope of the initial misalignment, the proposed algorithm achieves better robustness and higher speed while maintaining good registration accuracy compared with the conventional area-based and feature-based registration methods. DOI : http://dx.doi.org/10.11591/telkomnika.v12i3.4500
Study on the Energy-Regeneration-based Velocity Control of the Hydraulic-Hybrid Vehicle SONG Yunpu
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

This paper simplifies the energy regenerationbased vehicle velocity system of the hydraulichybrid businto a process in which the extension rod of the hydraulic cylinder drives the secondary-element variable delivery pump/motor to change its displacement. This process enables braking of the vehicle and also allows recovery of energy. The stability, energy efficiency and other characteristics of the system are studied based on analysis of mathematical models of the vehicle velocity control. The relevant controller is designed to study effects of the controller on system characteristics. The vehicle velocity control module of the energy regeneration system is stable and able to recovery the inertia energy generated in vehicle braking. After the controller intended to improve response speed is added, system response becomes quicker but energy recovery rate declines. DOI: http://dx.doi.org/10.11591/telkomnika.v10i7.1565

Page 158 of 920 | Total Record : 9199

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