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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 24 Documents
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Search results for , issue "Vol 16, No 1: October 2015" : 24 Documents clear
A 45 nm 6 Bit Low Power Current Steering Digital to Analog Converter Using GDI Logic Bharat H. Nagpara
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 1: October 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i1.pp46-51

Abstract

In this paper, The Design and Implementation low power Current Steering Digital to Analog Converter in 45 nm technology using GDI Logic using TANNER TOOL, V15 is presented. This architecture gives the most optimized results in terms of speed, resolution and power. The designed 6-bit DAC operates with two supply voltages, 1 V and 3.3 V. The simulation result shows the transient analysis waveforms of current Steering DAC. The average power dissipation is 364.06 μW. The tool used for simulation is Tanner S-Edit and T-Spice. Comparisons show that using GDI logic, it consists low power as compare to the CMOS logic.
Digital Image Based Identification of Rice Variety Using Image Processing and Neural Network Lilik Sumaryanti; Aina Musdholifah; Sri Hartati
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 1: October 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i1.pp182-190

Abstract

The increased of consumer concern on the originality of rice  variety and the quality of rice leads to originality certification of rice by existing institutions. Technology helps human to perform evaluations of food grains using images of objects. This study developed a system used as a tool to identify rice varieties. Identification process was performed by analyzing rice images using image processing. The analyzed features for identification consisted of six color features, four morphological features, and two texture features. Classifier used LVQ neural network algorithm. Identification results using a combination of all features gave average accuracy of 70,3% with the highest classification accuracy level of 96,6% for Mentik Wangi and the lowest classification accuracy of 30%  for Cilosari.
Study of Necessities and Technologies for Using Hybrid Photovoltaic-Wind Power Systems Sobhan Dorahaki
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 1: October 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i1.pp7-12

Abstract

In recent years, increase in environment concerns and demand for energy are two main issues in ongoing growth of using solar systems. Solar energy has been known as a renewable and clean energy source. One of the most applied and new ways for using sun energy is hybrid photovoltaic technology. This paper discusses requirements, methods, limitations and technologies used in the hybrid photovoltaic-wind power system.
Fire Detection Using Multi Criteria Image Processing Technique in Video Sequences Behrouz Memarzadeh; Mohammad Ali Mohammadi
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 1: October 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i1.pp136-144

Abstract

Vision-based flame detection has drawn significant attention in the past decade with camera surveillance systems becoming ubiquitous. This paper proposes a multi criterion method to detect fire or flames by processing the video data generated by a high speed camera. Since flame images are special class of images, some of the unique features of a flame may be used to identify flame. There are some differences between flame images and other general images. By using these features we are able to detect fire correctly with least false alarm. In this paper we present an algorithm which can detect fire and reduce number of false alarms by counting number of identified pixels. In the algorithm, we preprocess the images to have better results. So first we adjust the gray level of a flame image according to its statistical distribution to have better processing. After that we try to extract fire features in images. First by using color characteristics, the ratio of red to green, we can identify probable fire-like or fire like pixels. Second, to highlight the regions with high gray level contrast at their edges, we use the extended prewitt filter. We use AND operation on two above processing images to remove unrelated pixels, at last by using flicker frequency, the oscillating change in the number of identified pixels over time is transformed into the frequency domain to complete detection algorithm. Simulation proves the algorithm ability to detect fire in different situations in video sequences.
Identification of Lung Cancer Using a Back Propagation Neural Network Bambang Guruh Irianto; Mohamad Ridha Mak'ruf; Dyah Titisari
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 1: October 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i1.pp91-97

Abstract

Reading image of lung cancer screening well-known as X-ray by practitioners are sometimes subjective. This research tried to create software that can detect lung cancer as a comparison of the work of medical practitioners using artificial neural networks (ANN), with X-ray movies taken from the tool diagnostic radiography (DR) stored in the compact disc. The dependent variable observation in this study is the identification of DR X-ray image size of 1024 x 1024 pixels. A total of 10 images X-ray which has been observed by the physician radiology. With 5 images X-ray normal and 5 images lung cancer. In this study, the image processing is done through three stages: neighborhood averaging, median filter and histogram equalization. The result of these features are grouped in normal categories. From test results stating the truth 80%. To facilitate the user in the lung disease pattern recognition. GUI applications design using MATLAB. We use some form of image processing which includes form training andtesting. The best parameters obtained from this research include learning rate=0.3, the number of hidden layer=30 and tolerance error=10-8. From the results obtained by the level of accuracy of the training image of normal lung, lung cancer in a row is 80%. Overall the level of accuracy of the results is 80%.
Design of the Monitoring System for Subway Platform Screen Doors Based on CAN Bus Caiqi Hu
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 1: October 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i1.pp52-57

Abstract

In this paper, the application layer communication protocol of CAN bus and the monitoring system for subway platform screen doors are proposed.The system framework is built, hardware of every function module for this system is selected, and the monitoring platform of epigynous machine is designed. On the basis of the above work the communication function of the monitoring system is realized, and specific flow chart s given. This system has been tested at a subway line in Shanghai. And the results prove that the system is in full compliance with industry standards and can  completely meet the application requirements. The architecture plan of the system is practically proven to be valid and feasible.
Optimal Placement of Sensors in Mission-specific Mobile Sensor Networks Hicham Ouchitachen; Abdellatif Hair; Najlae Idrissi
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 1: October 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i1.pp191-198

Abstract

Placement of nodes has been the major challenge in wireless sensor networks. The data reported from a sensor is only useful when the position of that sensor is found. In this context, several techniques have been proposed to conserve power consumption and to prolong the lifetime of the wireless sensor networks. In this paper, we propose a new algorithm that accurately finds the best locations of sensors while minimizing the average energy consumed in the network. More precisely, we consider a critical network in each sensor satisfying its own missions and depending on its locations. In addition to fulfill their mission, the sensor tries to maintain a good neighboring nodes quality. we determine the location of node by using two criteria: the cost and the quality of communication. The aim of this work is to develop a new algorithm so as to solve the complicated optimization problem posed in this case while minimize the total energy consumption. Our simulation results demonstrate that our algorithm is very advantageous in terms of convergence to the appropriate locations.
New Methods for Reducing the Problems of Photovoltaic Systems Sobhan Dorahaki
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 1: October 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i1.pp13-18

Abstract

Increasing of demand in the energy sphere and also unprecedented proliferation of environmental pollutants in the air has pushed human toward the using of renewable energy sources such as photovoltaic systems. Unfortunately, despite all the efforts made, in the field of photovoltaic systems, still the usability of this clean and renewable source is skeptical in the world. This paper examines some basic problems of photovoltaic systems and discusses a few new approaches to reduce some problems of photovoltaic systems. The proposed approaches have capabilities and difficulties which are investigated in this study.
A Review on Development and Operational Strategy of Fault Current Limiters S.P. Janani Priyadharshna; T. Venkatesan
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 1: October 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i1.pp145-153

Abstract

Distributed Generation (DG) plays a major role in existing power system. When such distributed generation system is interconnected with micro-grid improves voltage profile, power quality but at the same time results in fault conditions. Among various faults occurring in the power system, short circuit faults are the most predominant case. This results in the increase in flow of the fault current in the line. Also the equipments installed in such a line get damaged internally due to flow of excess fault current. Therefore in order to improve the transient conditions and limit the fault current to a manageable level, a device called Fault Current Limiters (FCLs) are being used in recent trend. This paper reviews about various fault current limiters, their development, characteristics and operating performance in the system. It gives a detailed knowledge about various operations performed by fault current limiters that is compared with other conventional techniques.
Performance Study of IEEE 802.15.4 under OPNET Modeler for Wireless Sensor Networks Rania Khadim; Mohammed Erritali; Abdelhakim Maaden
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 1: October 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i1.pp98-105

Abstract

The IEEE 802.15.4 protocol has recently been adopted as a communication standard for low-rate wireless personal area networks (LR-WPANs) due to its low data rate, low power consumption and low cost of Wireless Personal Area Networks. This protocol is quite flexible for a wide range of applications if appropriate tuning of its parameters is carried out. Importantly, the protocol also provides real-time guarantees by using the Guaranteed Time Slot (GTS) mechanism. Indeed, the GTS mechanism is quite attractive for Wireless Sensor Network (WSN) applications. The main objective of this paper is to investigate the performance of BPSK (Binary phase shift keying) and QPSK (Quadrature phase shift keying) modulation techniques. Investigations have been reported to compare the performance of the two modulation schemes. Here modulation schemes have been identified which gives significant performance improvement over the other based on network output load, energy consumption and power reception at the WPAN devices. The results have been presented Pan_Coordinator, GTS and Non GTS End Device (CAP device) of Wireless Sensor Network (WSN).

Page 2 of 3 | Total Record : 24

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