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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 9,174 Documents
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LEACH Algorithm Based on Load Balancing Wangang Wang; Yong Peng
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 9: September 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

This paper discusses advantages of LEACH Algorithm and the existing improved model which takes the famous hierarchy clustering routing protocol LEACH Algorithm as researching object. Then the paper indicates the problem that in the algorithm capacity factor of cluster head node is not taken into account leading the structure of clusters to be not so reasonable. This research discusses an energy-uniform cluster and cluster head selecting mechanism in which “Pseudo cluster head” concept is introduced in order to coordinate with “Load Monitor” Mechanism and “Load Leisure” Mechanism to maintain load balancing of cluster head character and stability of network topology. On the basis of LEACH Protocol improving algorithm of LEACH-C, CEFL and DCHS. NS2 simulation instrument is applied to do simulation analysis on the improved algorithm. Simulation result shows that LEACH-P Protocol effectively increase energy utilization efficiency, lengthens network lifetime and balances network load. DOI: http://dx.doi.org/10.11591/telkomnika.v11i9.3287   
Algorithm development and hardware implementation for medical image compression system: a review Noor Huda Ja’afar; Afandi Ahmad
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.pp1331-1341

Abstract

In the high-tech world, medical imaging is very important to diagnose and analyze illness inside human body. The increasing number of patients annually has continuously growth the amount of medical imaging data generated and directly causes a demand for data storage. Generally, medical images are rich with data, where these data are important for diagnosing purpose. However, some of the data represents redundant information and sometimes can be discarded. Thus, the research area on medical image compression dealing with three-dimensional (3-D) modalities need to be given more attention and exploration. The algorithm development using wavelet transform with software implementation are the famous topics explored among researchers, whilst fewer works have been done in utilizing curvelet transform in medical image compression. Along with that, very limited hardware implementation of 3-D medical image compression is discovered. In term of performance evaluation, most of the previous works conducted objective test compared with subjective test. To fill in this gap, medical image compression system will be reviewed, with the aim to identify the recent method used in medical image compression system. This paper thoroughly scrutinizes the recent advances in medical image compression mainly in terms of compression method, algorithm development with software and hardware implementations and performance evaluation. In conclusion, the overall picture of the medical image compression landscape, where most of the researchers more focused on algorithm development or software implementations without having the combination of software and hardware implementations.
Design and Application of Iterative Monte Carlo Localization for Mobile Wireless Sensor Networks Based on MCL Junsheng 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 recent years, wireless sensor network had been more and more widely used in our daily life, and with the propose of monte carlo localization (MCL) algorithm, node localization of the mobile wireless sensor network had been solved effectively. But it needed to have a large number of samples if it used the monte carlo localization algorithm to obtain a high positioning accuracy. This paper proposed a new improved algorithm (iterative monte carlo localization algorithm) based on the monte carlo localization algorithm. In iterative monte carlo localization (IMCL) algorithm, each anchor node location information was forwarded by its neighbor nodes only once and preserved by the receiving node in each period. Then the next period, merge it and the sent/forwarding information into a packet and forward. Make sure that points have more observations for estimating previous location sets. IMCL, meanwhile, also can make full use of observation to filter out some samples that were far from the real position of node, so as to improve the accuracy of node localization. We finally confirmed by experiment: IMCL algorithm had higher positioning accuracy compared with other algorithm. DOI : http://dx.doi.org/10.11591/telkomnika.v12i3.4512
Cryptanalysis to a Certificateless Threshold Signature Scheme Zhifeng Yan; Futai Zhang; Wenjie Yang
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 6: October 2012
Publisher : Institute of Advanced Engineering and Science

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Abstract

Certificateless public key cryptography is a new paradigm with two interesting features. On one hand, it keeps the certificate free property of identity-based public key cryptography (ID-PKC), while on the other hand, it gets rid of the inherent key escrow problem of ID-PKC. These two distinctive features make certificateless threshold signature schemes more applicable in practice as it removes the cost of transmitting and verifying the public key certificates of the participants who are involved in signing, and yet without the fear of key escrow. In this paper, we analyze the security of an existing certificateless threshold signature (CLTHS) scheme recently proposed by Zhong et al.[26]. We show it is insure by demonstrating its three security drawbacks. Especially, we present a kind of public key replacement attack against it. Our attack reveals that it is subject to universal forgeries of type I adversaries. DOI: http://dx.doi.org/10.11591/telkomnika.v10i6.1406
Optimization Circuit Based Buck-Boost Converter for Charging the Solar Power Plant Rohana Rohana; Suwarno Suwarno
Indonesian Journal of Electrical Engineering and Computer Science Vol 6, No 2: May 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v6.i2.pp254-258

Abstract

This paper discusses the optimization circuit based buck-boost converter for charging a battery from solar panel modules. The combination of the circuit buck-bust converter and a step-up current can increase the percentage of battery chargers. The method used in the optimization of solar power plants by increasing the output current from the solar panel to be optimized for battery charging, so it does not requires time and the batteries are safe. This is because sunlight can be used when bright about 4-5 hours per day. By increasing the output current of the current produced solar modules can accelerate the battery charging time. The combination of using the voltage stabilizer can produce a steady output voltage and current riser, although the voltage to an output of the solar panels is quite small (± 6 volts), can optimize the charger works well. By combining between the voltage stabilizer and a step-up current is obtained that the incoming voltage to the battery at 12,4V the current rise of 21.5% for a 12V battery, 7Ah, whereas the incoming voltage to the battery at 12,1V the current rise 10.99% for battery 12V, 120Ah. This study shows that the current rise is already above 10%.
Comparison of Multiscale Entropy for Lung Sound Classification Achmad Rizal; Risanuri Hidayat; Hanung Adi Nugroho
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 3: December 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i3.pp984-994

Abstract

Lung sound is a biological signal that can be used to determine the health level of the respiratory tract. Various digital signal processing techniques have been developed for automatic classification of lung sounds. Entropy is one of the parameters used to measure the biomedical signal complexity. Multiscale entropy is introduced to measure the entropy of a signal at a particular scale range. Over time, various multiscale entropy techniques have been proposed to measure the complexity of biological signals and other physical signals. In this paper, some multiscale entropy techniques for lung sound classification are compared. The result of the comparison indicates that the Multiscale Permutation Entropy (MPE) produces the highest accuracy of 97.98% for five lung sound datasets. The result was achieved for the scale 1-10 producing ten features for each lung sound data. This result is better than other seven entropies. Multiscale entropy analysis can improve the accuracy of lung sound classification without requiring any features other than entropy.
Oscillation Criteria for Even-Order Half-Linear Functional Differential Equations with Damping Shouhua Liu; Quanxin Zhang; Li Gao
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.pp4882-4892

Abstract

In this paper, a class of even-order half-linear functional differential equations with damping is studied. By using the generalized Riccati transformation and the integral averaging technique, six new oscillation criterias are obtained for all solutions of the equations. The results obtained generalize and improve some known results.
Robust Position Control of Electro-mechanical Systems Rong Mei; Mou Chen
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

In this work, the robust position control scheme is proposed for the electro-mechanical system using the disturbance observer and backstepping control method. To the external unknown load of the electro-mechanical system, the nonlinear disturbance observer is given to estimate the external unknown load. Combining the output of the developed nonlinear disturbance observer with backstepping technology, the robust position control scheme is proposed for the electro-mechanical system. The stability of the closed-loop control system has been proved via the Lyapunov analysis technique. Simulation results are presented to demonstrate the feasibility of the proposed disturbance-observer-based position control scheme of the electro-mechanical system. DOI: http://dx.doi.org/10.11591/telkomnika.v11i3.2323
Business intelligence addressing service quality for big data analytics in public sector Sadesh Manikam; Shamsul Sahibudin; Vinothini Kasinathan
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 1: October 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i1.pp491-499

Abstract

With the inauguration of Big Data Analytics initiative nationally, many nations have participated and paved way for BDA ecosystem. The initiative is a catalyst to further encourage economic growth in Public Sectors. Some of the common key deliverables identified are increasing productivity involving information communications technology, cost savings, shared benefits, and encourage innovation. The objectives can be further elaborated by driving big data analytics demands in various public sectors agency, adopting big data analytics framework supporting the building of big data industry. This has encouraged talents and startup companies inspiring their capabilities by developing various technology platform, collaborate and innovate amongst public and private sectors, and further strengthen data governance by creating policy and procedures. With the establishment of big data analytics framework, performance measurement can be enforced effortlessly using the principles of business intelligence maturity model and the technological stack comes with it. Various data sources can be used to benchmark service quality using advanced analytics and data science techniques.
Embedded real-time system for detecting leakage of the gas used in iraqi kitchens Husam Kareem
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 3: June 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v14.i3.pp1171-1176

Abstract

A major issue that happens in kitchens of houses and/or restaurants is the leakage of gas used as a fuel for cooker stove, which is commonly referred to as LPG (liquefied petroleum gas). LPG leakage may lead to a serious fire or even a deadly explosion that might affect the surrounding people. A substantial solution to avoid such disasters is by stopping its main cause. Therefore designing a device capable of monitoring and detecting such gases can minimize the dangerous and unwanted incidents by LPG leakage. This paper introduces a low cost and energy efficient real-time monitoring system that able to sense different dangerous gases, specifically those used for stove cooker. This system considers the pros of the previously introduced systems and fixes the cons available in those systems. In addition, the manufacturing cost has been taken into consideration. If the system senses any type of LPG gas (there is a gas leakage), it will react by making three different actions. It will make an alert sound to notify the people around the leakage place, send an SMS to two cell phones, and show, on an LCD screen, the leakage location.

Page 20 of 918 | Total Record : 9174

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