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INDONESIA
Indonesian Journal of Electrical Engineering and Computer Science
ISSN : 25024752     EISSN : 25024760     DOI : -
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Articles 9,199 Documents
Uncertainty of the implementation time of geodynamic monitoring system in multi-criteria ranking of alternatives O.R. Kuzichkin; I.V. Loginov; V.T. Eremenko; S. V. Eremenko; G.S. Vasilyev; A.V. Grecheneva
Indonesian Journal of Electrical Engineering and Computer Science Vol 17, No 3: March 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v17.i3.pp1249-1257

Abstract

The paper deals with the problem of ranking alternatives to geodynamic monitoring systems in the case of uncertainty of their implementation time. The problem is characterized by the fact that the choice of alternatives and the effect of it depends on the quality properties of the applied organizational and technical solutions, taking into account the time of implementation. The ordering of alternatives is proposed taking into account the uncertainty of the implementation time factors. Ranking is realized by comparing the trees of functional characteristics of alternatives taking into account the compliance of their characteristics with time-varying requirements. The scope of the proposed method is the choice of configurations of geodynamic monitoring systems with significant differences in the implementation time of alternatives.
Bearing Run-To-Failure Data Simulation for Condition Based Maintenance Xinghui Zhang
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 1: January 2014
Publisher : Institute of Advanced Engineering and Science

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

Abstract

This paper presents a bearing run-to-failure data simulation model for condition based maintenance, in which a single point outrace fault can be implemented. According to the characteristic that bearing life follows the Weibull distribution, amount of bearing run-to-failure datasets can be simulated which can be used to verify the feature extraction, remaining useful life prediction and maintenance decision methods particularly the methods which use Proportional hazard model. A case study simulating 6205-2RS JEM SKF bearing run-to-failure data is done detailed. DOI : http://dx.doi.org/10.11591/telkomnika.v12i1.3607
Research on the Nonlinear Traffic Flow Time Sequence Prediction Model Zhu Hai Feng
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 9: September 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i9.pp7014-7020

Abstract

This paper proposes a non-linear traffic flow time sequence prediction model aiming at the periodic and stochastic characteristics of the traffic flow. First, one-dimension traffic flow time sequence data are transformed to multi-dimension time sequence. Then the RBF neural network which has strong nonlinear prediction capability is applied to model. Finally the simulation experiment is used to testify to the model. The results of the simulation prove the prediction accuracy of the model with RBF neural traffic flow time sequence prediction model is much higher than the traditional one and the prediction results can be utilized in the practical traffic management. The results show that the nonlinear traffic flow time series forecasting model with nonlinear, non-stationary characteristics of different period randomness, chaos and uncertainty. The results of this study to forecast short-term traffic flow have certain theoretical and practical significance.
Designing Multi-Dimensional User Interaction for a Virtual Museum System Tengku Siti Meriam Tengku Wook; Noraidah Sahari @ Ashaari; Normala Rahim
Indonesian Journal of Electrical Engineering and Computer Science Vol 4, No 3: December 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v4.i3.pp649-654

Abstract

The focus of this study is to improve the display platform for the State of Terengganu Virtual Museum System (muziummaya.terengganu.gov.my). The existing virtual museum can be displayed via desktop computing system where information is displayed on-line using features for searching, browsing, and manipulating artifacts and galleries. However, presentation of information on mobile device screens cannot be viewed effectively and is difficult to navigate due to the user's cognitive load. Therefore, this study will establish effective interaction design, taking into account the multi-dimensional context for the design of a user interface via a mobile device in the hopes that users who are students, curators, researchers, and the public can access the virtual museum system via desktop as well as from their mobile devices. This study was conducted in three stages i.e. user requirements analysis, interface design, and usability evaluation. The results of this research is the design of a multi-dimensional user interaction context that meets the display requirements and navigation information for mobile devices.
Automated Detection of Microaneurysmsusing Probabilistic Cascaded Neural Network Jeyapriya J; K S Umadevi; R Jagadeesh Kannan
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 3: September 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v11.i3.pp1083-1093

Abstract

The diagnosing features for Diabetic Retinopathy (DR) comprises of features occurring in and around the regions of blood vessel zone which will result into exudes, hemorrhages, microaneurysms and generation of textures on the albumen region of eye balls. In this study we presenta probabilistic convolution neural network based algorithms, utilized for the extraction of such features from the retinal images of patient’s eyeballs. The classifications proficiency of various DR systems is tabulated and examined. The majority of the reported systems are profoundly advanced regarding the analyzed fundus images is catching up to the human ophthalmologist’s characterization capacities.
Thermal comfort control via air conditioning system using fuzzy neural network feedback controller Somaye A. Mohamadi; Abdulraheem J. Ahmed
Indonesian Journal of Electrical Engineering and Computer Science Vol 19, No 2: August 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v19.i2.pp586-592

Abstract

Despite their complexity and uncertainty, air conditioning systems should provide the optimal thermal conditions in a building. These controller systems should be adaptable to changes in environmental parameters. In most air conditioning systems, today, there are On/Off controllers or PID in more advanced types, which, due to different environmental conditions, are not optimal and cannot provide the optimal environmental conditions. Controlling thermal comfort of an air conditioning system requires estimation of thermal comfort index. In this study, fuzzy controller was used to provide thermal comfort in an air conditioning system, and neural network was used to estimate thermal comfort in the feedback path of the controller. Fuzzy controller has a good response given the non-linear features of air conditioning systems. In addition, the neural network makes it possible to use thermal comfort feedback in a real-time control.
Tunable function of feeding network and SPDT switch for WIMAX application N. Edward; N. A. Shairi; Z. Zakaria; Tole Sutikno; I. D. Saiful Bahri
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.pp1574-1580

Abstract

A tunable circuit that functions as a power divider and a single pole double throw (SPDT) switch is proposed in this paper. The power divider design was based on the conventional Wilkinson power divider (WPD). Since WPD design has wideband properties, a modification was made in the design to make it narrowband so that it will only work for WiMAX applications. Two shorted stubs were introduced in the transmission line of the output ports to encounter the mismatch when the function was switched to an SPDT switch. Rogers RO4350 (er = 3.48, h = 0.508mm) was used as a substrate material and copper (thickness = 0.035 mm) related to patch of this proposed design. When the circuit functioned as a power divider, the simulated result showed S11 < -16 dB, S12 > 3.97 dB, and S23 < -14 dB for both operating frequencies of 2.5 GHz and 3.5 GHz. On the other hand, when the circuit functioned as an SPDT switch and port 2 was in the ON state, the simulated result showed S11 < -35 dB, S12 > -1.1, S13 < -16 dB, and S23 < 18 dB for both operating frequencies of 2.5 and 3.5 GHz. The proposed design showed a good performance as a power divider and an SPDT switch, thus, it can be used for multifunctional microwave circuits.
Comprehensive Algorithmic Review and Analysis of LDPC Codes Waheed Ullah; Abid Yahya
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.pp111-130

Abstract

Due to the increasing popularity of LDPC codes and its demand for future applications, first time in this paper, LDPC coding techniques have been systematically summarized and analyzed. The paper gives the comprehensive review of LDPC encoder, decoder and its architecture for simulation and implementation. The paper is specially intended for giving an insight of the algorithmic overview of the LDPC encoder, decoder and its architecture for research and practical purposes. The original belief propagation algorithm (BPA) , logarithmic model of BPA , and the other simplified form of the logarithmic sum product algorithms (SPA) has been elaborated and analyzed for medium and short length codes under AWGN channel
A Ship Cargo Hold Inspection Approach Using Laser Vision Systems MI Chao; LIU Haiwei; ZHAO Ning; SHEN Yang
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 1: January 2013
Publisher : Institute of Advanced Engineering and Science

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

Abstract

Our paper represents a vision system based on the laser measurement system (LMS) for bulk ship inspection. The LMS scanner with 2-axis servo system is installed on the ship loader to build the shape of the ship. Then, a group of real-time image processing algorithms are implemented to compute the shape of the cargo hold, the inclination angle of the ship and the relative position between the ship loader and the cargo hold. Based on those computed inspection data of the ship, the ship loader can accomplish the bulk cargo loading operation automatically. Finally, our paper describes and analyzes the experiment of the Laser Vision System in Coal Terminal of Tianjin Port. DOI: http://dx.doi.org/10.11591/telkomnika.v11i1.1904
Routing Optimization for Wireless Sensor Network Based on Cloud Adaptive Particle Swarm Optimization Algorithm Xu Bao
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 11: November 2013
Publisher : Institute of Advanced Engineering and Science

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

Abstract

One of the most important targets of routing algorithm for Wireless Sensor Network (WSN) is to prolong the network lifetime. Aimed at the features of WSN, a new routing optimization approach based on cloud adaptive particle swarm optimization algorithm is put forward in this paper. All paths appear at the same time in one round are fused in one particle, and the coding rule of particle is set down. The particle itself is defined as its position, the number of replaceable relay nodes in paths is defined as the velocity of particle. Cloud algorithm is used to optimize the inertia weight of particle. Optimize rules are laid out, and both residual energy of nodes and variance of all paths’ length are considered in objective function. Simulations find out the best value of balance factor in objective function, also prove that this approach can control the energy consumption of network, enhance the viability of nodes, and prolong the lifetime of network. DOI: http://dx.doi.org/10.11591/telkomnika.v11i11.3486

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