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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 28 Documents
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Search results for , issue "Vol 4, No 3: December 2016" : 28 Documents clear
A New Dynamic Intelligent Model to Determine Reliability and Trust of Online Banking by Using Fuzzy C-Mean Ali Mohammad Rezaiee; Abbas Karimi
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.pp605-610

Abstract

The main purpose of the present study presents a new model of smart dynamically determine the validity and reliability survey of Internet users bank is using Fuzzy C-Mean model. In other words, the aim of this study is to provide a smart system to determine the behavior of Internet users bank is confidence, so that we can fit the points by the customer, providing banking services to defined limits. In terms of method, a descriptive and exploratory data mining is in use. The method of research was descriptive survey and the use of data mining, exploration. The aim of this study is applied. The survey of methods for qualitative and quantitative data. Since the data of the Agricultural Bank documents (bills of transfer, transfer funds transfers, the number of IT users, foundations, etc.) were collected and interviews with experts in the field of electronic banking Agricultural Bank, Agricultural Bank branch target population for were randomly selected. The results showed that the diagnostic accuracy provided structure to determine the acceptable level of confidence in Internet banking is user behavior.
Microarray Image Analysis Using Genetic Algorithm Bolem Sivalakshmi; N. Naga Malleswara Rao
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.pp561-567

Abstract

Microarray technology allows the simultaneous monitoring of thousands of genes. Based on the gene expression measurements, microarray technology have proven powerful in gene expression profiling for discovering new types of diseases and for predicting the type of a disease. Gridding, segmentation and intensity extraction are the three important steps in microarray image analysis. This paper presents microarray image analysis using Genetic Algorithm. A new algorithm for microarray image contrast enhancement is presented using Genetic Algorithm. Contrast enhancement is crucial step in extracting edge information in image and finally this edge information is used in gridding of microarray image. Mostly segmentation of microarray image is carried out using clustering algorithms. Clustering algorithms have an advantage that they are not restricted to a particular shape and size for the spots. In this paper, segmentation using Genetic Algorithm by optimizing K-means index and Jm measure is presented. The qualitative analysis shows that the proposed method achieves better segmentation results than K-means and FCM algorithms.
Distributed Searchable Asymmetric Encryption Shoulin Yin; Lin Teng; Jie Liu
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.pp684-694

Abstract

Searchable asymmetric encryption (SAE) can also be called Public Key Encryption with Keyword Search (PEKS), which allows us to search the keyword on the data of having been encrypted. The essence of Asymmetric searchable encryption is that users exchange the data of encryption, one party sends a ciphertext with key encryption, the other party with another key receives the ciphertext. Encryption key is not the same as the decryption key, and cannot deduce another key from any one of the key, thus it greatly enhances the information protection, and can prevent leakage the user's search criteria—Search Pattern. Secure schemes of SAE are practical, sometimes, however the speed of encryption/decryption in Public-key encryption is slower than private key. In order to get higher efficiency and security in information retrieval, in this paper we introduce the concept of distributed SAE, which is useful for security and can enable search operations on encrypted data. Moreover, we give the proof of security.
Designing of Medical processor unit for Intelligent network-based Medical usage P. ILA Chandana Kumari; P. Gayathri; N. Rajesh; Syed Umar; G. Chandra Sekhar; Azeem Mohammed Abdul
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.pp532-537

Abstract

This medical design conventions of books and deductive method (MPU). the development of research and the success of many already, we have found the cause of architecture MPU. On the unique features of the processor in question it is coded in different areas of medicine (MOPC). working from a very close bilateral processor MPU. Each issue has a special feature code for the hardware supply chain on the steps and produce a special version of the code and the victim (s). Illness, Doctor MOPC mph dismounted and made a series of sub-processes, and to launch the second law of medical devices. If the computer system of a victim and has a specific digital for logic, and victims of medical devices that operate in the blood, tissues, operating theaters, medical staff, medical costs and variables, etc. We follow the process that the patient design of medical networks and overlapping and development computer.
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.
GRPW-MuS: Geographic Routing to Multiple Sinks in Connected Wireless Sensor Networks Yassine Sabri
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.pp487-498

Abstract

Multiple sinks routing is envisioned as a possible solution to the bottleneck research problem in Wireless Sensor Networ ks (WSN). In addition to focusing on minimizing the energy consumption in a WSN, it is also equally impor tant to design routing protocols that fair ly and evenly distr ibute the networ k traffic; in order to prolong the networ k life time and improve its scalability.In this paper we present an enhancement to the GRPW algor ithm for wireless sensor networ ks. Perfor mance of GRPW algor ithm algor ithm depends heavily on single sink position , we propose a protocol called GRPW-MuS ( Geographic Routing to Multiple Sinks in connected wireless sensor networ ks) based on Multiple Static Sinks, we modified the existing sink location pr ivacy protection scheme by dividing nodes in the networ k containing multiple sink into different levels in which real packets are forwarded to sink belong to corresponding logical levels and the inter mediate node generating fake packets and sending it to fake sinks. Using OMNET++ simulation and the MiXiM framewor k, it is shown that proposed protocol significantly improves the robustness and adapts to rapid topological changes with multiple mobile sinks, while efficiently reducing the communication overhead and the energy consumption.
Streamflow Prediction by Applying Generalized Regression Network with Time Series Decomposition Method Muhammad Tayyab; Jianzhong Zhou; Rana Adnan; Changqing Meng; Aqeela Zahra
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.pp611-616

Abstract

Precise and correct estimation of streamflow is important for the operative progression in water resources systems. The artificial intelligence approaches; such as artificial neural networks (ANN) have been applied for efficiently tackling the hydrological matters like streamflow forecasting in this study at upper Yangtze River. The objective is to investigate the certainty of monthly streamflow by applying artificial neural networks including Generalized Regression Network (GRNN). To overcome the non-linearity problem of streamflow, artificial neural networks integrated with discrete wavelet transform (DWT). Data has been analyzed by comparing the simulation outputs of the models with the correlation coefficient (R) root mean square errors (RMSE). It is found that the decomposition technique DWT has ability to improve the forecasting results as compare to single applied artificial neural networks. Moreover, all applied models are separately applies on the peak values as well which also have showed that intergrated model has more ability to catch the peak values
Identification of Brain disorders by Sub-band Decomposition of EEG signals and Measurement of Signal to Noise Ratio Hadaate Ullah; Shahin Mahmud; Rubana Hoque Chowdhury
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.pp568-579

Abstract

In the case of medical science, one of the most restless researches is the identification of abnormalities in brain. Electroencephalogram (EEG) is the main tool for determining the electrical activity of brain and it contains rich information associated to the varieties physiological states of brain. The purpose of this task is to identify the EEG signal as order or disorder. It is proposed to enrich an automated system for the identification of brain disorders. An EEG signal of a patient has been taken as a sample. The simulation has been done by MATLAB. The file which consists of the signal has been called in and plotted the signals in MATLAB. The proposed system covers pre-processing, feature extraction, feature selection and classification. By the pre-processing the noises are ejected. In this case the signal has been filtered using band pass filter. The Discrete Wavelet Transform (DWT) has been used to decompose the EEG signal into Sub-band signal. The feature extraction methods have been used to extract the EEG signal into frequency domain and the time domain features. The SNR (Signal to Noise ratio) is obtained in this work is 1.1281dB.
An Icon Design Approach Based on Symbolic and Users' Cognitive Psychology Sun Qiang; Hu Fei
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.pp695-706

Abstract

In order to explore the usability and ease of use of icon design, the icon design method based on the combination of semiotics and user cognitive psychology is raised. Based on the principle of matching the icon design knowledge and user knowledge, the icon design process is analyzed from four dimensions, namely the semantic expression of elements, the structure of elements, the interface and cultural context, and the user cognitive characteristics. An icon assistant design system CDIPV1.0 is structured, it can realize knowledge sharing, rapid icon designing, and professional evaluation based on the combination of semiotics and users’ cognitive psychology. The theory is verified through it.
Mutual Coupling Optimization of Compact Microstrip Array Antenna Lin Teng; Jingrui Pei; Shoulin Yin
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.pp538-541

Abstract

In this paper, we perfect the mutual coupling of compact microstrip array antenna by designing a new defected ground structure. When the resonant frequency is 2.45GHz, array element spacing is 0.1 times of free space wavelength, we introduce new defected ground structure into antenna array. Then we use HFSS to make simulation and compare the changing of antenna's parameters before and after adding defected ground structure. The results demonstrate that the parameters representing mutual coupling in new model can reduce by 30dB, which effectively perfects the mutual coupling of compact microstrip array antenna.

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