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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 9,226 Documents
 198   199   200   201   202 
Simulation Model on Movement of Goods in Sea Freight for Small and Medium Enterprise Zirawani Baharum; Muhammad Hanif; Muhammad Imran Qureshi; Syazwa Nabila Mohd Raidzuan; Hairulnizam Mahdin
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.pp1214-1222

Abstract

Sea transportation is one of the major transportation in the scope of transport industry and plays important role towards the growth of performance in the industry that involves the movement of good (MOG). With the crucial operations, it is also essential to concern about the employee’s welfare, such as long working hours that occurred due to non-systematic procedure for the MOG. The long working hours been potentitially impact to the psychological factors of works stress and physical and health effects. Therefore, this research is important to be studied in order to develop the simulation model on MOG in sea freight for small and medium-sized enterprises (SMEs), effectively and efficiency. Initially, this research is startup by defining all existed activities with the duration as required. Subsequently, the business model of MOG in sea freight is developed according to the case study in order to develop the simulation model. This research is give a guide for future research towards providing a well-computer-based by applying the decision support system, especially to manage and control the movement of goods in sea freight.
Application of mutant particle swarm optimization for MPPT in photovoltaic system Thom Thi Hoang; Thi Huong Le
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.pp600-607

Abstract

The P –V characteristic of a photovoltaic system (PVs) is non-linear and de-pends entirely on the extreme environmental condition, thus a large amount PV energy is lost in the environment. To enhance the operating efficiency of the PVs, a maximum power point tracking (MPPT) controller is normally equipped in the system. This paper proposes a new mutant particle swarm optimization (MPSO) algorithm for tracking the maximum power point (MPP) in the PVs. The MPSO-based MPPT algorithm not only surmounts the steady-state oscillation (SSO) around the MPP, but also tracks accurately the optimum power under different varying environmental conditions. To demonstrate the effectiveness of the proposed method, MATLAB simulations are implemented in three challenging scenarios to the PV system, including changing irradiation, load variation and partial shading condition (PSC). Furthermore, the obtained results are compared to some of the con-ventional MPPT algorithms, such as incremental conductance (INC) and clas-sical particle swarm optimization (PSO) in order to show the superiority of the proposed approach in improving the efficiency of PVs. 
Performance analysis of DCT and successive division based digital image watermarking scheme Prajwalasimha S. N.; Chethan Suputhra .S; Mohan C. S.
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 2: August 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v15.i2.pp750-757

Abstract

In this article, a combined Discrete Cosine Transformation (DCT) and Successive Division based image watermarking scheme is proposed. In many spatial domain approaches, the watermark information is embedded into Least Significant Bits (LSBs) of host image. These LSBs are more vulnerable to noise and other unwanted information contents in the channel, in few cases these are subjected for modifications also. Many frequency domain approaches withstands LSB interference problem but utilizes more execution time. The proposed technique is a frequency domain approach which can withstand LSB attack and utilizes very less execution time than other existing approaches. Performance analysis is done based on robustness, imperceptibility, data embedding capacity and time of execution. The experimental results are better compared to other existing techniques.
Machine Learning Based Automotive Forensic Analysis for Mobile Applications Using Data Mining MD. Hussain Khan; G. Pradeepini
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 2: November 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i2.pp350-354

Abstract

Phone is a device which provides communication between the people through voice, text, video etc. Now a day’s people may leave without food but not without using phones. No of operating systems are working with various versions and various security issues are working. Security is very important task in Mobiles and mobile apps. To improve the security status of mobiles, existing methodology is using cloud computing and data mining. Out traditional method is named as MobSafe to identify the mobile apps antagonism or graciousness. In the proposed system, we adopt Android Security Evaluation Framework (ASEF) and Static Android Analysis Framework (SAAF).In this paper, our proposed system works on machine learning to conduct automotive forensic analysis of mobile apps based on the generated multifaceted data in this stage.
An Indeterminacy Temporal Data Model Based on Probability Ren Shuxia; Zhao Zheng; Zou Xiaojian
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

There are many kinds of indeterminacy temporal data in temporal database. Therefore, many researchers have focused on building indeterminacy temporal data models. Unfortunately, established models can’t adequately address the challenges posed by indeterminacy temporal information, and can’t adapt to all sorts of involved applications. In this paper, we propose a temporal data model, named BPTM (Temporal model based on probability), to manage the indeterminacy temporal semantics of indeterminacy data. Firstly, we present our tuple-timestamp method to represent and store these temporal data including determinacy and indeterminacy data. Then we introduce the temporal primitives to process temporal relations needed in BPTM. A new probability method is brought forward to get potential information among these indeterminacy data. At last a query example based on CPR (Computer-based Patient Record) is given to show that our method is effective and feasible. DOI: http://dx.doi.org/10.11591/telkomnika.v11i11.3516
Research on Real-Time Optimal Path Algorithm of Urban Transport Jie Zhang; Jianchun Li; Xiaoyan Fan; Zhuo Deng
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 5: May 2014
Publisher : Institute of Advanced Engineering and Science

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

Abstract

Based on the ant colony algorithm, urban real-time traffic optimal path algorithm was designed through restricting search area and search direction of ant colony system, making the real-time traffic and distance as the optimal path weights and regarding intersection turning as the impact of weight value combined with Chinese situation. The algorithm could calculate the optimal path through algorithm complexity test. We obtained a traffic optimal path with timeliness and practical value combined with ant colony algorithm considering multiple parameters.The obtained path enabled user to reach destination within a short time and with the least fuel through actual traffic test. It was regarded as the optimal path. DOI : http://dx.doi.org/10.11591/telkomnika.v12i5.3535
Design of a Small Renewable Resource Model based on the Stirling Engine with Alpha and Beta Configurations Faisal Zahari; Muhammad Murtadha Othman; Ismail Musirin; Amirul Asyraf Mohd Kamaruzaman; Nur Ashida Salim; Bibi Norasiqin Sheikh Rahimullah
Indonesian Journal of Electrical Engineering and Computer Science Vol 8, No 2: November 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v8.i2.pp360-367

Abstract

This paper presents the conceptual design of Stirling engine based Alpha and Beta configurations. The performances of Stirling engine based Beta configuration will be expounded elaborately in the discussion. The Stirling engines are durable in its operation that requires less maintenance cost.  The methodology for both configurations consists of thermodynamic formulation of Stirling Cycle, Schmidt theory and few composition of flywheel and Ross-Yoke dimension. Customarily, the Stirling engine based Beta configuration will operate during the occurrence of low and high temperature differences emanating from any type of waste heat energy. A straightforward analysis on the performance of Stirling engine based Beta configuration has been performed corresponding to the temperature variation of cooling agent. The results have shown that the temperature variation of cooling agent has a direct effect on the performances of Stirling engine in terms of its speed, voltage and output power. 
Comparative study of symmetrical OTA performance in 180 nm, 130 nm and 90 nm CMOS technology Wan Mohammad Ehsan Aiman bin Wan Jusoh; Siti Hawa Ruslan; Nabihah Ahmad; Warsuzarina Mat Jubadi; Rahmat Sanudin
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 1: April 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v14.i1.pp230-240

Abstract

In this paper, the comparative study of symmetrical Operational Transconductance Amplifier (OTA) performance between 180 nm, 130 nm and 90 nm CMOS technology have been done thoroughly to find the relationship between voltage supply and bias current with performance parameters (gain, power consumption and Common-Mode Rejection Ratio (CMRR)). The OTA which adopts symmetrical topology is designed carefully and simulated using Synopsys HSpice software and the results are carefully analyzed and compared. The symmetrical OTA designed in 90 nm CMOS technology is found to be the best because the power consumed is only 9.83 µW from ±0.9 V voltage supply and the OTA achieved 55.9 dB of the DC gain. The CMRR of the symmetrical 90 nm OTA is 140 dB which is sufficient to reject the common-mode signals in electrocardiogram (ECG) input signal. The symmetrical 90 nm OTA is suitable to be implemented as bioamplifier in ECG signal detection system as it consumed low power and has a high CMRR characteristic.
Energy consumption prediction through linear and non-linear baseline energy model Rijalul Fahmi Mustapa; NY Dahlan; Ihsan Mohd Yassin; Atiqah Hamizah Mohd Nordin; Azlee Zabidi
Indonesian Journal of Electrical Engineering and Computer Science Vol 17, No 1: January 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v17.i1.pp102-109

Abstract

Accurate baseline energy models demand increase significantly as it lower the risk of energy savings quantification. It is achieved by performing energy consumption prediction with its respective independent variables through linear or non-linear modelling technique. Developing such model through linear modelling technique provide certain disadvantages due to the fact that the behavior of certain independent variables with respect to the energy consumption is non-linear in nature. Furthermore, linear modelling technique requires prior studies upon modelling to achieve accurate energy consumption prediction. Thus, to apprehend this situation, this paper main intention is to perform energy consumption prediction through a non-linear modelling technique to provide alternative option for developing a good and accurate baseline energy models. This study proposes energy consumption prediction based on Non-linear Auto Regressive with Exogenous Input – Artificial Neural Network (NARX-ANN) as a non-linear modelling technique that will be compared with Multiple Linear Regression Model (MLR) as linear modelling technique. A case study in Malaysian educational buildings during lecture week will be used for this purpose. The results demonstrate that NARX-ANN shows a higher accuracy through statistical error measurement.
A Dynamic Selection Algorithm on Optimal Auto-Response for Network Survivability Jinhui Zhao; Yujia Sun; Liangxun Shuo
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 8: August 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i8.pp6354-6360

Abstract

In the selection process of survival strategies, it is a challenging work to automatically choose the optimal measure for the survival event. A dynamic selection algorithm is proposed, based on feedback control. According to the feature of survival strategy, the strategy model is presented, which includes fuor specific attribute. The dynamic update process of attribute vector is described in detail. Combining the weight of preference and attributes of strategy, the TOPSIS evaluation is employed to select optimal measure. Experiments and analysis show that optimal measure selected by proposed algorithm is appropriate and wishful, which enriches the research content in this field.

Page 200 of 923 | Total Record : 9226

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