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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
 152   153   154   155   156 
Hardware Implementation of FIR Neural Network for Applications in Time Series Data Prediction Kuldeep S. Rawat; G.H. Massiha
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 1: April 2015
Publisher : Institute of Advanced Engineering and Science

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Abstract

Time series data prediction is used in several applications in the area of science and engineering. Time series prediction models have been implemented using statistical approaches, but recently, neural networks are being applied for times series prediction due to their inherent properties and capabilities. A variation of a standard neural network called as finite impulse response (FIR) neural network has proven to be highly successful in achieving higher degree of prediction accuracy when used over various time series prediction applications. These applications are time critical and involve huge amounts of computation that are slower when run on a general purpose processor and hence, a dedicated hardware is required. In this paper, authors present hardware implementation of an FIR neural network for applications in times series data prediction. The implementation is divided into (i) off-board, where the training algorithm and neural network configuration is implemented in Matrix Laboratory (MATLAB) and simulated with various benchmark time series data set and (ii) on-board, where the entire system is modeled in a hardware description language (HDL). The simulation experiment, hardware building blocks, the implementation framework, and the hardware design flow are discussed in this paper. The hardware resource utilization and timing information are also reported in the paper. DOI: http://dx.doi.org/10.11591/telkomnika.v14i1.7272 
Small Price Index of College Students Based on EEG ShuLi Huang; ZhenDong Mu; HuaLiang Wu; HuaBo Xiao
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

Study of consumer psychology and consumer price index usually used questionnaire method; this method is very good at solving the macro problem, however, to specific numerical value index, used questionnaire method is difficult to determine, and there is always a certain doubt about the correctness of the results what used questionnaire method. Because of EEG can be true reflection of the true psychological characteristics of the subjects, the paper selects EEG analysis tool as the consumer price index. Subjects tested with the different combination of the different quantity of money, processed and analysis this three sets of subjects EEG data, by analyzing the time and amplitude of the N170 and P300 to study college students in the daily life of the small consumer index. DOI: http://dx.doi.org/10.11591/telkomnika.v11i9.3299
The development of simulation logic model that dealing with uncertainty for piping construction industry Zirawani Baharum; HairulNizam Mahdin; Fauziah Abdul Rahman
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.pp1311-1318

Abstract

Basically, multi processes and activities involve in the piping construction (PC) projects needs to be followed before the project is handed over to the customer or client, called multi-project construction environment (MPCE). In PC, the MPCEs exist where more than one project is managed simultaneously within an organization become as a common phenomenon faced by managers that highly possible to face with uncertainty issues, lead to project completion late delivery (PCLD). Dealing with uncertainty in MPCE is a common, though managing uncertainty in PC become more complicated rather that others industry. Therefore, the objective of this paper is to develop the simulation logic model to deal with the uncertainty for PC projects that focused on environmental issues (EI). This result will be proceed for uncertainty model development in the next phase of this research. The simulation logic model development began with qualitative data collection towards the case study, to get all the activities throughout the water supply company. Then, the business model is developed with 14 activities before integrated with the uncertainty factors in EI. The integration of business model and uncertainty factors generated the simulation logic model as main contribution. Once the uncertainty model completely developed, it will provide a medium for PC that confront with MPCE to monitor the uncertainties and prepared to encounter any matters in future. Therefore, it is important to pursue in providing the PC company to all inclusive-model, and helping them in managing and tackling the uncertainty, especially for EI.
Prediction of wireless sensor network signal attenuation in plantation environment Liu Hua; Zhang Junguo; Lin Fantao
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

Because of wireless sensor network signal attenuation phenomena in the process of transmission in plantation environment, mastering the law of 2.4GHz wireless sensor network signal attenuation in plantation environment has become a key to the rational distribution of wireless sensor networks in the forest. In this paper, an intelligent forecasting method using wavelet and regression analysis approach is presented of prediction of 2.4GHz wireless sensor network signal attenuation in plantation environment. By using wavelet decomposition on the average field strength values in plantation environment, the characteristics in the wavelet scale sequences can be recognized. And by using simple linear regression analysis, the decomposed data can be predicted. Then data after regression analysis can be used in wavelet reconstruction. Finally, the obtained results will be compared with the other average field strength values. The comparison shows that this wavelet and regression analysis method is effective to the prediction of 2.4GHz wireless sensor network signal attenuation. DOI : http://dx.doi.org/10.11591/telkomnika.v12i3.4429
Research on Automatic Target Tracking Based on PTZ System Qigui Zhang; Bo LI; Ni Zhang
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 studies an algorithm of automatic target tracking based on PTZ system. Select the tracking target and set up the target motion trajectory in the video screen. Along the motion trajectory, the system controls the PTZ rotation automatically to track the target real-timely. At the same time, it adjusts the zoom to enlarge or reduce to make sure the target can display on the video screen center clearly at the suitable size. By testing on groups of video, verify the effectiveness of the automatic target tracking algorithm. DOI: http://dx.doi.org/10.11591/telkomnika.v10i7.1455
An Inventive and Innovative Alternate for Legacy Chain Pulling System through Internet of Things Budaraju Sri Datta; Rama Ganapathy; Sini Raj P; Shriram K Vasudevan; Abhishek SN
Indonesian Journal of Electrical Engineering and Computer Science Vol 6, No 3: June 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v6.i3.pp688-694

Abstract

Indian Railways made a move in replacing the chain pulling system with the new mobile based communication system where the loco pilot’s mobile phone number shall be shared with all the passengers through a message. Despite the efforts taken to remove the chains from the train, there is a great probability of misuse through the mobile phone number provided. We aim to build a more efficient and secure solution based on the Internet of Things, which is a buzz word in the market. Our proposed system provides an alarm fixed at specific locations in the compartments of a train. In case of emergency, the passenger has to press the alarms’ button, which captures the scene using a built-in digital camera. The system also alarms the Loco-Pilot, Travelling Ticket Examiner, as well as the compartment so as to provide immediate possible help through the fellow co-passengers. The pilot slows down the train to an optimum speed whilst the travelling ticket examiner checks and confirms the pilot whether he has to stop the train. The entire system can be controlled through an authenticated mobile application provided to the ticket examiner. The pictures captured by the camera and other crucial details are uploaded to a cloud-based real-time database. Thus, saving time and taxpayers’ money as well as helping the railways to perform analytics and come up with feasible solutions to the problems of the passengers. The system has the potential to deal with the most prevailing cargo theft like that of coal, by alerting the staff without having to stop the train, making the convicts’ escapes impossible. This also definitely avoids the improper pulling of chains and thereby not causing any hassle to the passengers as well as diminishes the economic loss to the government by reducing the time delay.
Transient Stability Improvement of the Power Systems Zaid H. Al-Tameemi; Hayder H. Enawi; Karrar M. Al-Anbary; Hussam M. Almukhtar
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.pp916-923

Abstract

During the last few decades, electrical power demand enlarged significantly whereas power production and transmission expansions has been brutally restricted as a result of restricted resources as well as ecological constrains. Consequently, many transmission lines have been profoundly loading so the stability of power system became as Limiting factor for transferring electrical power. So, maintaining a secure and stable operation of the electric power networks is deemed an imporatant and challenge issue.transient stability of a power system has been gained a considerable attention from researchers dute to it importance . Therefore,this paper sheds light on A substantial number of the adopted techniques, including an inclease in  inertia constant of generator, shunt capacitor, reduction reactance of the transmission line to acheive this purpose. A 7-Machine CIGRE system has been considered a case study. Matlab package has been employed to implement this study. The simulation results show that the transient stability of the repective system enhanced considerably with these techniques.
An approach for Assessing Harmonic Emission Level Based on Robust Partial Least Squares Regression Xiang Li; Minyou Chen; Yongwei Zheng; Shan Cheng; Feng Li
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.pp4981-4987

Abstract

An approach to evaluate harmonic contributions at the point of common coupling is presented in this paper. The proposed approach is based on robust partial least squares regression, which estimates system harmonic impedance by utilizing the signals of harmonic voltage and current measured synchronously at the point of common coupling. Consequently according to the IEC Technical Report 61000-3-6 the harmonic emission level of user is calculated. The presented method overcomes the disadvantage of variable dependence in establishing of the system model and reduces or removes the effect of outlying data points. The method is verified through a simulation study and with extensive field measurements.
Sitting Posture Recognition based on data fusion on pressure cushion Junrong Bao; Wenfeng Li; Jian Li; Yanhong Ge; Chongzhi Bao
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 4: April 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

Sitting postures affect their safety in wheelchair for persons with the disability or the elder people. In this paper, we built the body pressure collection system; it is explored the relationship between the pressure distributions and sitting posture; based on daily sitting posture of disabled and older people , the eight states is summarized that people sit on the wheelchair, and using density-based clustering methods establish the evaluation model of difference sitting postures. The instances verify that the model can accurately predict the relations between pressure distribution and sitting postures. DOI: http://dx.doi.org/10.11591/telkomnika.v11i4.2329
Analysis of attribute domain for geometrical gesture performed by arm movements Wan Khairunizam; Khairul Ikram; Hafiz Halim; Azri Aziz; I. Zunaidi; S.A Bakar; W. Azani W. Mustafa
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.pp759-766

Abstract

Hand gesture recognition commonly uses a camera to track hand movements and transformed into gesture database by using various computational approaches. Motion tracking utilized to map coordinate point of the subject movement, either in skeletal model or marker tracing. Data from motion trackers usually contains massive coordinate sequences of marker movement. A reliable method is required to select best features and analyze these data. However, the current issue whether the selected features and data presentation are significant for the research or not. This research brings the concept of ontology design for arm gesture recognition systems by utilizing the motion capture system. Ontology is the conceptual structure mainly used to retrieve information by establishing relation in complex data model. The proposed ontology framework is divided into three domains which are knowledge domain, attribute domain and process domain. Knowledge domain holds pre-processed gestural data from motion capture. The attribute domain is that the level where all the attribute elements were presented. This paper shows the analysis of the datasets in attribute domain. The analysis is divided into two parts which is precision measure and ANOVA test. Both analyses are to prove the reliability of datasets in attribute domain. The precision measure is used to remove all the common data for all gesture. A statistical analysis of p-value is lower than 0.01 which means the gestural data are statistically significant to be used for the similarity measure.

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