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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 52 Documents
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Search results for , issue "Vol 11, No 2: August 2018" : 52 Documents clear
RF Simulations for AAβ Cryptosystem, an Asymmetric Encryption Scheme Syed Farid Syed Adnan; Mohd Anuar Mat Isa; Habibah Hashim
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 2: August 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v11.i2.pp542-548

Abstract

Internet of Things (IoT) is a way of providing data with the physical thing that interconnected to the network, which is the Internet. The IoT devices connected to the internet, broadcast of the data to the broker or a server, becomes an open route for attackers to gain the data and making the data becomes vulnerable. Thus, the data could be altered or spoofed by an attacker which led to security issues especially on data integrity. Therefore, the data security collected from the sensors is as important as on the servers that eventually become the big data. However, most sensors are low powered devices in term of CPU, storage, memory and batteries that cryptographic algorithm computations might give overhead to the sensors and reduce the batteries even faster than it is supposed to be. Instead of looking at symmetric encryption scheme, this paper tries to explore the capabilities of the asymmetric scheme on resource constrained devices communications. Thus, this paper presents an RF communication analysis of a low consumption asymmetric encryption, the AAβ (AA-Beta) that promising to implement on the IoT devices to secure the IoT networks. The result shows only 14% size increased in ciphertext from plaintext and the RF simulation communications show a better result in Raspbian OS environment compare to windows environment even though with same configurations
Disruptive Technology: The Future of SMS Technology Cik Ku Haroswati Binti Che Ku Yahaya; Murizah Kassim; Hasnorhafiza Husni
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 2: August 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v11.i2.pp665-671

Abstract

The research illustrates a view on the current trends in the telecommunication industry focusing on the matter of Short Message Service (SMS) technology. It targets and explains disruptive technology and also introduces disruptive technology in Short Message Service (SMS). The methodology of this research is market trend analysis using data on volume of Short Message Service (SMS) sent and received through a mobile network and a survey that was conducted with questionnaires. The findings are Short Message Service (SMS) is predicted to become obsolete and be disrupted by Over the Top (OTT) messaging application by the third quarter of the year 2020. This was implemented with linear regression prediction. By the survey a new trend of using Short Message Service (SMS) has emerged but users have certainly moved away from SMS and now prefer texting Over the Top (OTT) messaging applications.
Implementation of Robust Tracking Algorithm on Nano-Computer Khaled Hammemi; Mohamed Atri
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 2: August 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v11.i2.pp446-452

Abstract

In this work, we developed the NSSD-DT method, which allows us to track a target in a robust way. This method effectively overcomes the problems of geometrical deformation of the target, partial occlusion and allows recovery after the target leaves the field of view. The originality of our algorithm is based on a new model, which does not depend on a probabilistic process and does not require data-based beforehand. Experimental results on several difficult video sequences have proven performance benefits. The algorithm is implemented on a BCS 2835 system based on a quad core ARM processor, it is also compared to the software solution. NSSD-DT can be used in several applications such as video surveillance, active vision or industrial visual servoing.
IMLANNs for Congestion Management in Power System Nur Zahirah Mohd Ali; Ismail Musirin; Hasmaini Mohamad; Saiful Izwan Suliman; Hadi Suyono
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 2: August 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v11.i2.pp630-636

Abstract

In this paper, Integrated Multi-Layer Artificial Neural Networks (IMLANNs) model has been developed for congested line prediction in a power system. The master characteristic of an ANN is the superiority to achieve complicated input-output mappings through a learning procedure, without exhaustive programming efforts. The IMLANNs model was developed to predict the congested lines in a power system. Before the IMLANNs model is developed, a case study was selected to receive an early result in power system load current during normal condition and contingency based on heavily loaded term. In order to optimize the architecture of the neural network and minimize the computational effort, but those state variables with major impact on the power system are selected as inputs. A pre-developed index, namely Fast Voltage Stability Index (FVSI) is employed as a benchmark to identify the locations declared as congested lines. This indicator was produced which aims for an analytic thinking, sustainable power system when an excessive load was imposed on the power system network. In addition, voltage collapse can be identified when the index is approaching 1.000 or unity. The value of FVSI is chosen as the targeted output in the IMLANNs model. The strength of the proposed IMLANNs model has been validated on the IEEE 30- Bus RTS. Results obtained from the study demonstrated that the proposed IMLANNs is feasible for congested line prediction, which in turns beneficial to power system operators in the planning unit of a utility.
TicTad: A Chatterbot for Learning Visual C# Programming based on Expert System Vinothini Kasinathan; Aida Mustapha; Sonia Siow; Marshella Hopman
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 2: August 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v11.i2.pp740-746

Abstract

This paper presents TicTad, a Chatterbot on Visual C# Programming to help students who struggle with learning programming, or who wants to learn Visual C#. TicTad provides an efficacious way to memorize the concepts through an interactive gateway. This will decrease the time and effort needed to learn Visual C# as compared to traditional methods.
Automated Real-Time Vision Quality Inspection Monitoring System N.N.S. Abdul Rahman; N.M. Saad; A.R. Abdullah; M.R.M. Hassan; M.S.S.M Basir; N.S.M. Noor
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 2: August 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v11.i2.pp775-783

Abstract

The requirement of product quality inspection in industries for product standardized leads to a development of the quality inspection system. The problem is related to a manual inspection that is done by a human as an inspector. This paper presents an automated real-time vision quality inspection monitoring system as a problem solver to a manual inspection that is tedious and time-consuming task as well as reducing cost especially in small and medium enterprise industries (SME). For the proposed system, soft drink is used as the test product for quality inspection. The system uses computer-network to inspect two quality inspections which are color concentration and water level. The analysis includes pre-processing, color concentration using the histogram and quadratic distance and level inspection using coordinate vertical and horizontal reference levels. The similarities of both experimental and simulation results are obtained for both parameters which are 100% accuracy using 205 samples.
Practical Application of In-door Tested Scaled Models on Real Building structures Irshad Ullah; MNR Baharom; H. Ahmad; H.M. Luqman; Zainab Zainal
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 2: August 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v11.i2.pp593-598

Abstract

Lightning indoor testing got a very low attention of the researchers. Although lightning is impossible to create inside the laboratory however it can be presented using high voltage impulse. High voltage impulse was generated in this paper which presents the actual lightning. Selected building structures were tested under the high voltage condition. This idea was implemented practically by applying it on different real building structures. Different building with different roof tops were observed practically and it was found that this research work has a good agreement of the lightning strike points observe during the indoor activities in high voltage lab and out door activity during the field study.
Modeling and Simulation of Nine-Level Cascaded H-Bridge Multilevel Inverter A.A. Zulkefle; A.I.A. Rahman; M. Zainon; Z.A. Baharudin; Z. Zakaria; M.B. Farriz; S.A.A. Shukor; N.F. Johan; N. Saleh; M.A.M. Hanafiah
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 2: August 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v11.i2.pp696-703

Abstract

This paper analyzed a single phase nine level cascaded h-bridge multilevel inverter (CHMLI) topology in which requires lesser number of components and easier to control if compared to other methods. The inverter of different voltage levels (up to 9-Levels) are designed and simulated using MATLAB Simulink. A Level Shifted Multi-Carrier PWM control scheme is used to control the operation of the power switches for CHMLI topology. The results are compared in terms of THD.  The value of THD is found to be reduced as the number of voltage level of CHMLI is increased.
A Tiered Approach On Dimensional Reduction Process for Prediction of Coronary Heart Disease Wiharto Wiharto; Herianto Herianto; Hari Kusnanto
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 2: August 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v11.i2.pp487-495

Abstract

The use of dimensional reduction in the diagnostic system model of coronary heart disease, many same of case do not take into account the clinical procedures commonly used by clinicians in diagnosis. This requires that the examination be done thoroughly, thus making the high cost of diagnosis. This study aims to develop a tiered approach model in reducing dimensions for predicting CHD. The method in this research is divided into several stages, namely preprocessing, building the knowledge base and system testing. Preprocessing consists of several processes, namely the removal of missing value data, grouping attributes, and dividing data for training and testing. Knowledge base modeling is divided into three levels. The first level were the risk factor attributes, the second level were the type of chest pain & ECG, and the third were scintigraphy & coronary angiography. The knowledge base was modeled based on fuzzy rules and its inferencing process using Mamdani method. The first, fuzzy rule-based was obtained by using the FRS study. The second and third stage, using the induction rule algorithm to get the rule, then converted to fuzzy rule. The tested algorithm were C4.5, CART, and FDT. The system testing was performed by the 5-folds cross-validation method, with performance parameters based on population and individual. The test resulted using the Cleveland and Hungarian datasets, the FRS+CART combination was capable of reducing the most attributes and the highest likelihood ratio performance parameter, which was 15.96. FRS+C4.5, at least the attributes were reduced, but has an AUC performance of 80.43%, while FRS+FDT, more reduced attributes than FRS+C4.5, and AUC performance parameters are better than FRS+CART. Dimensional reduction model for prediction of CHD, capable of providing better performance than not tiered.
Evaluation of Color Models for Palm Oil Fresh Fruit Bunch Ripeness Classification Nurbaity Sabri; Zaidah Ibrahim; Dino Isa
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 2: August 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v11.i2.pp549-557

Abstract

This paper investigates the application of eight color models for automatic palm oil Fresh Fruit Bunch (FFB) ripeness classification with multi-class Support Vector Machine (SVM).  Ripeness classification is important during harvesting to ensure that they are harvested during the correct ripe stage for optimum oil production.  Since color is a significant indicator for agriculturists to determine the ripeness of FFB, it is critical to determine the right color model. Eight color models have been investigated namely, HSV, I1I2I3, LAB, XYZ, YCbCr, YIQ, YUV and RGB. Color moments were extracted from each of these color models for the classification of four stages of FFB ripeness that are unripe, under-ripe, ripe and over-ripe.  A database of five hundred images of palm oil FFB has been constructed and experiments showed that YCbCr and YUV outperform the other color models.

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