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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
 140   141   142   143   144 
ERP Service for Small and Medium Enterprises in Saudi Arabia Arif Bramantoro
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.pp69-77

Abstract

This paper aims to present the benefits of enterprise resource planning (ERP) service over traditional ERP through the development of ERP in the form of software-as-a-service(SaaS). This service is published in response to the fact that traditional ERP is rarely implemented in small and medium enterprises (SMEs) in Saudi Arabia due to the highcost and risk of implementation failure. This paper can be used to encourage SMEs in Saudi Arabia to exploit ERP service. ERP service can be accessed by client via anyprogramming interface over an Internet connection without special configuration, thus highlighting the core competencies of the SMEs. As a prove of concept, the stock serviceis published as a concrete ERP service. Two types of application were developed to access the service: desktop and smartphone based application. Based on a simple qualitativeassessment, it is acknowledged that ERP service is advantageous over traditional ERP systems in terms of its scalability, agile implementation, global accessibility,mobility, low operational costs, lack of upfront costs, best practices, rapid upgrading, and interoperability among other services.
An Empirical Comparison of Latest Data Clustering Algorithms with State-of-the-Art Xianjin Shi; Wanwan Wang; Chongsheng Zhang
Indonesian Journal of Electrical Engineering and Computer Science Vol 5, No 2: February 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v5.i2.pp410-415

Abstract

Over the past few decades, a great many data clustering algorithms have been developed, including K-Means, DBSCAN, Bi-Clustering and Spectral clustering, etc. In recent years, two new data  clustering algorithms have been proposed, which are affinity propagation (AP, 2007) and density peak based clustering (DP, 2014). In this work, we empirically compare the performance of these two latest data clustering algorithms with state-of-the-art, using 6 external and 2 internal clustering validation metrics. Our experimental results on 16 public datasets show that, the two latest clustering algorithms, AP and DP, do not always outperform DBSCAN. Therefore, to find the best clustering algorithm for a specific dataset, all of AP, DP and DBSCAN should be considered.  Moreover, we find that the comparison of different clustering algorithms is closely related to the clustering evaluation metrics adopted. For instance, when using the Silhouette clustering validation metric, the overall performance of K-Means is as good as AP and DP. This work has important reference values for researchers and engineers who need to select appropriate clustering algorithms for their specific applications.
Anomaly detection on in-home activities data based on time interval Soon-Chang Poh; Yi-Fei Tan; Soon-Nyean Cheong; Chee-Pun Ooi; Wooi-Haw Tan
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.pp778-785

Abstract

The world population of the elderly is expected to have a continuous growth and the number of elderly living in solitude is also expected to increase in the coming years. As our health decline with age, early detection of possible deterioration in health becomes important. Behavioral changes in in-home activities can be used as an indicator of health decline. For example, changes in routine of in-home activities. Past research mainly focused on detecting anomalies in routine of each type of in-home activities individually. In this paper, an anomaly detection model to detect changes in routine of in-home activities collectively for a day is proposed. The experiment was evaluated with an existing public dataset. The experimental results demonstrated that the anomaly detection model performed well on unseen testing data with an accuracy of 94.44%.
Tissue-like P system based DNA-GA for clustering Caiping Hou; Xiyu Liu
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 3: December 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i3.pp565-573

Abstract

In recent years, DNA GA algorithm is drawing attention from scholars. The algorithm combines the DNA encoding and Genetic Algorithm, which solve the premature convergence of genetic algorithms, the weak local search capability and binary Hamming cliff problems effectively.How to design a more effective way to improve the performance of DNA-GA algorithm is more worth studying. As is known to all,the tissue-like P system can search for the optimal clustering partition with the help of its parallel computing advantage effectivel. This paper is under this premise and presents DNA-GA algorithm based on tissue-like P systems (TPDNA-GA) with a loop structure of cells, which aims to combine the parallelism and the evolutionary rules of tissue-like P systems to improve performance of the DNA-GA algorithm. The objective of this paper is to use the TPDNA-GA algorithm to support clustering in order to find the best clustering center.This algorithm is of particular interest to when dealing with large and heterogeneous data sets and when being faced with an unknown number of clusters. Experimental results show that the proposed TPDNA-GA algorithm for clustering is superior or competitive to classical k-means algorithm and several evolutionary clustering algorithms.
Researching of Image Compression Based on Quantum BP Network Yang Ran; Zuo Yanjun; Lei Wanjun
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

The encoding time of traditional fractal image coding method is too long.Aiming at this problem, a quantum BP network algorithm is proposed in the paper. By using a neuronal model with quantum input and output, combined with the theory of BP in image compression and the complex BP algorithm, a model for image impression with 3-layer quantum BP is built, which implements image compression and image reconstruction. The simulation results show that QBP can obtain the reconstructed images with better quantity compared with BP in spite of the less learning iterations. DOI: http://dx.doi.org/10.11591/telkomnika.v11i11.3550
A Moving Objects Detection Method with Resistance to Illumination Change Xiaoling Wang; Tao Zhang; Changhong Chang
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

Moving objects detection is conducted in the sequential image of moving objects, which is favorable to detect, identify and analyze the moving objects. It has been applied in video surveillance, virtual reality, and advanced user interfaces. Based on existing research on the Frame Difference Method (FDM) and the Background Subtraction Method (BSM), considering the short time interval between adjacent images used for difference, FDM is adopted for its smaller impact by scene illumination variation, which is complementary to the drawback that BSM is sensitive to environmental variation; while BSM can detect the integral moving objects, which can also make up the disadvantage of FDM in failing to detect the integral moving objects. In this paper, we propose a moving objects detection method with resistance to illumination change. We conclude from the experiment that this method is noise-proof and can adapt the abrupt change in illumination to ensure accuracy of the detection. DOI : http://dx.doi.org/10.11591/telkomnika.v12i5.5094
Research on a New Type of Energy Feedback Cascade Multilevel Inverter System Wang Pan; Liu Fei; Zha Xiaoming; Yu Jianhua; Wang Xiangbing
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

Traditional cascade multilevel inverter can only transmit one-direction of energy. This paper proposes a new cascade multilevel inverter topology and control strategy based on part units to realize the energy feedback. By using PWM converter to replace uncontrollable converter in part units of the traditional inverter, and combining the inverter with H-bridge inverter, the two-direction running of the cascade inverter is realized. A double closed loop control strategy is used to obtain fine control characteristic of input current. The carrier phase-shifted SPWM technology is adopted in the cascade inverter to reduce harmonious wave of output voltage and current, meanwhile, a new type of bypass control method is proposed to collect all the feedback energy and restore it into the energy feedback units. According to the simulation of a three-phase and five-unit cascaded inverter with three energy feedback units, the results demonstrate that the proposed inverter can be input near sinusoidal current , and realize two-way flow of energy automatically with simplified phase shifting transformer structure, and show its feasibility and effectiveness. DOI: http://dx.doi.org/10.11591/telkomnika.v11i1.1864
Simulation of Packet Scheduling in Cognitive Long Term Evolution-Advanced Mohamad ‘Ismat Hafizi Mansor; Huda Adibah Mohd Ramli; Ani Liza Asnawi; Farah Nadia Mohd Isa
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.pp533-540

Abstract

Real Time (RT) and Non-Real Time (NRT) multimedia content demand on mobile devices are increasing at a high pace. Long Term Evolution-Advanced (LTE-A) is expected to cater these demands. However, LTE-A operates at fixed spectrum which leads to spectrum scarcity. Cognitive Radio (CR) is one the promising technologies that is used to overcome spectrum scarcity and implementation of CR into LTE-A will improve spectrum availability and efficiency of the network. Furthermore, with addition of Packet Scheduling (PS) in the cognitive LTE-A, QoS requirement of the mobile users can be guaranteed. However, the study on the stated is very limited. Thus, this paper models, simulates and evaluates performance of five well-known PS algorithms for supporting the RT and NRT multimedia contents. The simulation results show that Maximum- Largest Weighted Delay First (M-LWDF) is the best candidate for implementation in the cognitive LTE-A.
The effect of insulator geometrical profile on electric field distributions Ali A. Salem; R. Abd-Rahman; M. S. Kamarudin; H. Ahmed; N.A. M. Jamail; N. A. Othman; M.F. M. Yousof; M. T. Ishak; S. Al-Ameri
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 2: May 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v14.i2.pp618-627

Abstract

In recent years, silicone rubber (SIR) insulators are use widely on high voltage transmission lines, particularly in heavy polluted environment. The performance of SIR in highly dependent on electric field profile that may lead to other serious problem such as ageing and flashover phenomenon. In this paper, electric field and potential distribution around insulator profile were computed using finite element method approach. Insulator geometrical profile i.e. shed radius, inclination angle, width and length has been varied and analyzed. Simulation results reveal that electric field is greatest at area near to the ground and high voltage terminal. Several recommendations have been proposed on insulator profile in achieving optimized electrical performance of the insulator.
Research and Experiment on Electromagnetic Force Properties of LPMBLDCLM for Electromagnetic Launch Huilai Li; Xiaomin Li; Zhiyuan Li
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.pp6566-6572

Abstract

In order to improve the thrust characteristics of the moving-magnet type linear permanent magnet brushless DC motor (LPMBLDCM), the structural characteristics and magnetic field are analyzed. The influence rule of electrical parameters and structural parameters on the electromagnetic properties and thrust performance are researched by finite element analysis (FEA). The effect regularity of structural parameters to mover velocity and thrust are researched as well as the electrical parameters. The LPMBLDCM system are established, and some relevant tests were taken to verify the correctness of simulation results. Simulation and experimental results show that the thrust and velocity of mover are affected by some key parameter. The results will surely provide the reference and guidance for the optimization of electromagnetic and thrust characteristics of LPMBLDCM.

Page 142 of 920 | Total Record : 9199

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