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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
 482   483   484   485   486 
Research of Adaptive Resolution Spectrum Sensing Method Based on Discrete Wavelet Packet Transform Wei Naiqi; Chen Zili; Zhu Anshi
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 2: February 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Spectrum sensing is the precondition of the realization of cognitive radio. In order to achieve efficient multi-resolution spectrum sensing, and find the available spectrum hole quickly, it proposes a variable resolution adaptive frequency spectrum energy sensing method based on discrete wavelet packet transform (DWPT). The method applied hierarchical decomposition and threshold denoising characteristic of wavelet packet transform, and solved the problem of subband sort disorder in wavelet packet decomposition process; it can eliminate the influence of uncertainty noise on detection performance, effectively. It also can reduce the computational complexity according to demand of selection resolution and perception band. The simulation results and its analysis show that the proposed method has advantages of high precision, simple arithmetic and fine flexibility, etc. The method is adapted to fast sensing in the cognitive radio environment. DOI : http://dx.doi.org/10.11591/telkomnika.v12i2.3971 
Performance Comparison of Host Identity Protocol and TCP/IP with Firewall against Denial of Services Alfan Presekal; Riri Fitri Sari
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 12: December 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i12.pp8335-8343

Abstract

Host Identity Protocol (HIP) is a new kind of Internet protocol which has been developed to resolve the existing problems of Internet protocol TCP/IP. As a new protocol HIP provides many advantages compared to TCP/IP such as in the aspect of security and mobility. Unfortunately, the deployability rate of HIP was still low. One of the reason is because particular solution for currently Internet problems already popular and deployed worldwide. In this work we compare the performance of HIP and TCP/IP using several scenarios. Simulations result show that TCP response time in normal condition (zero attack condition) 98,627 ms, while HIP has the response time of 99,711 ms. We also compare the performance of the HIP, TCP/IP, and SSL against the low to medium Denial of Services attack (DoS). In the condition of low to medium DoS attack, the order from best performance are TCP/IP, HIP, and then the worst one is SSL. In the condition of high DoS attack three of them TCP/IP, SSL, and HIP cannot work. Only HIP that implement HIP Firewall with authorization scenarios that are still available for service.
Reliability optimization of electrical distribution systems considering expenditures on maintenance and customer interruptions K B Kela; Bhavik N Suthar; L D Arya
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.pp1057-1064

Abstract

In this paper, a methodology is proposed which shows enhancement of reliability by optimizing total reliability cost of electrical distribution systems. The total reliability cost consists of cost incurred by utility and customers both. An objective function in terms of failure rates and repair times i.e. primary reliability indices has been formulated which  depicts both these costs . Hence, optimization of the objective function will give a balance between these costs with optimized values of primary reliability indices. This optimization has been done considering the constraints of achieving customer and energy based reliability indices below threshold/target values. The methodology has been applied on Roy Billinton Test System- Bus 2 (RBTS-2).  The problem has been solved by applying Flower Pollination (FP) algorithm. A comparison has been made with the results obtained by Differential evolution (DE) algorithm also for  the system considered.
Parameter Estimation of DC Motor using Adaptive Transfer Function Based on Nelder-Mead Optimisation Byamakesh Nayak; Sangeeta Sahu; Tanmoy Roy Choudhury
Indonesian Journal of Electrical Engineering and Computer Science Vol 9, No 3: March 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v9.i3.pp696-702

Abstract

This paper explains an adaptive method for estimation of unknown parameters of transfer function model of any system for finding the parameters. The transfer function of the model with unknown model parameters is considered as the adaptive model whose values are adapted with the experimental data. The minimization of error between the experimental data and the output of the adaptive model have been realised by choosing objective function based on different error criterions. Nelder-Mead optimisation Method is used for adaption algorithm. To prove the method robustness and for students learning, the simple system of separately excited dc motor is considered in this paper. The experimental data of speed response and corresponding current response are taken and transfer function parameters of  dc motors are adapted based on Nelder-Mead optimisation to match with the experimental data. The effectiveness of estimated parameters with different objective functions are compared and validated with machine specification parameters.
Fuzzy-Logic-RSSI based approach for cluster heads selection in wireless sensor networks Azamuddin Abdul Rahman; Mohd Nizam Mohmad Kahar; Wan Isni Sofiah Wan Din
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.pp1424-1431

Abstract

Wireless Sensor Networks (WSNs) are defined as networks of nodes that work in a cooperative way in order to sense and control the surrounding environment. Several WSNs algorithms have been proposed by utilizing the Fuzzy Logic technique to select the cluster heads (CHs). Each technique employs a different combination of input parameters such as nodes density, communication cost, and residual energy. CHs determination is critical towards this goal, whereas the combination of input parameters is expected to play an important role. Nevertheless, the received signal strength (RSSI) is one of the main criteria which get little attention from researchers on the topic of CHs selection. In this study, an RSSI based scheme was proposed which utilizes Fuzzy Logic approach in order to be combined with residual energy and centrality of the fuzzy descriptor. In order to evaluate the proposed scheme, the performance Multi-Tier Protocol (MAP) and Stable Election Protocol (SEP) were compared. The simulation results show that the proposed approach has significantly prolonged the survival time of the network against SEP and MAP, while effectively decelerating the dead process of sensor nodes.
Optimal Vibration Controller for Vehicle Active Suspension System under Road Roughness Disturbances Shi-Yuan Han; Gong-You Tang; Yue-Hui Chen; Guang-Peng Li; Xi-Xin Yang
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

Abstract

The problem of optimal vibration control for vehicle active suspension systems under road rough-ness disturbance is considered. First, the models for two-degree-freedom quarter-car suspension systemunder road roughness disturbance are presented, and road disturbances are considered as the output of anexosystem. Then, the feedforward and feedback optimal vibration control (FFOVC) law for vehicle active sus-pension systems is obtained and the existence and uniqueness of the FFOVC is proved. A state observeris designed to solve the problem of the physically realizable for the feedforward compensator. Numericalsimulations illustrate the effectiveness of the FFOVC law. DOI : http://dx.doi.org/10.11591/telkomnika.v12i6.4380
An Accurate Medium-Term Load Forecasting based on Hybrid Technique Z.M. Yasin; N.F.A. Aziz; N.A. Salim; N.A. Wahab; N.A. Rahmat
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 1: October 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i1.pp161-167

Abstract

An accurate medium term load forecasting is significant for power generation scheduling, economic and reliable operation in power system. Most of classical approach for medium term load forecasting only consider total daily load demand. This approach may not provide accurate results since the load demand is fluctuated in a day. In this paper, a hybrid Ant-Lion Optimizer Least-square Support Vector Machine (ALO-LSSVM) is proposed to forecast 24-hour load demand for the next year. Ant-Lion Optimizer (ALO) is utilized to optimize the RBF Kernel parameters in Least-Square Support Vector Machine (LS-SVM). The objective of the optimization is to minimize the Mean Absolute Percentage Error (MAPE). The performance of ALO-LSSVM technique was compared with those obtained from LS-SVM technique through a 10-fold cross-validation procedure. The historical hourly load data are analyzed and appropriate features are selected for the model. There are 24 inputs and 24 outputs vectors for this model which represents 24-hour load demand for whole year. The results revealed that the high accuracy of prediction could be achieved using ALO-LSSVM.
Low power design of ultra wideband PLL using 90 nm CMOS technology Fadhilah Binti Noor Al Amin; Nabihah Ahmad; Siti Hawa Ruslan
Indonesian Journal of Electrical Engineering and Computer Science Vol 20, No 2: November 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v20.i2.pp727-735

Abstract

The rapid growth of the electronic system has become one of the challenges in the high performance of very large scale integration (VLSI) design and has contributed to the evolution of phase locked loop (PLL) system design as one of the inevitable and significant necessities in the modern days. This design focus on the development of PLL system that can operate at a high performance within the ultra-wideband (UWB) frequency but consume low power that may be useful for future device implementation in the communication system. All proposed sub modules of PLL is highly suitable for low power and high speed application as each of them consumes overall power consumption around 2 µW until 1 mW with frequency from 3.1 GHz to 10.6 GHz. All the design architecture, schematic, simulation and analysis are implemented using Synopsys Tool in 90 nm CMOS technology. Through the overall analysis, it can be concluded that this proposed sub modules design of the PLL system has better performance compared to previous work in terms of power consumption and frequency.
A Study on V-Shaped Microstrip Patch MIMO Antenna Charles MacWright Thomas; Huda A. Majid; Zuhairiah Zainal Abidin; Samsul Haimi Dahlan; Mohamad Kamal A. Rahim; Raimi Dewan
Indonesian Journal of Electrical Engineering and Computer Science Vol 5, No 3: March 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v5.i3.pp606-611

Abstract

A study on the V-shaped microstrip patch antenna for multiple-input multiple-output (MIMO) communication system based on the antenna orientation is performed. First the microstrip patch antenna operating at 2.45 GHz is calculated and simulated. Next, multiple element of antennas for MIMO system is simulated and discussed. V-shaped with 45 degree slanted inward and outward is studied. The antenna properties is analyzed and compact antenna design is determined based on the simulation results. The results shows the gap between antennas can be optimized to 1 mm while maintaining low mutual coupling. The gain of the MIMO antenna is 8.42 dBi. The simulated return losses, together with the radiation patterns, are presented and discussed.
Analytics of stock market prices based on machine learning algorithms Puteri Hasya Damia Abd Samad; Sofianita Mutalib; Shuzlina Abdul-Rahman
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 2: November 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i2.pp1050-1058

Abstract

This study focuses on the use of machine learning algorithms to analyse financial news on stock market prices. Stock market prediction is a challenging task because the market is known to be very volatile and dynamic. Investors face these kinds of problems as they do not properly understand which stock product to subscribe or when to sell the product with an optimum profit. Analyzing the information individually or manually is a tedious task as many aspects have to be considered. Five different companies from Bursa Malaysia namely CIMB, Sime Darby, Axiata, Maybank and Petronas were chosen in this study. Two sets of experiments were performed based on different data types. The first experiment employs textual data involving 6368 articles, extracted from financial news that have been classified into positive or negative using Support Vector Machine (SVM) algorithm. Bags of words and bags of combination words are extracted as the features for the first experiment. The second experiment employs the numeric data type extracted from historical data involving 5321 records to predict whether the stock price is going up (positive) or down (negative) using Random Forest algorithm. The Rain Forest algorithm gives better accuracy in comparison with SVM algorithm with 99% and 68% accuracy respectively. The results demonstrate the complexities of the textual-based data and demand better feature extraction technique.

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