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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 9,174 Documents
 550   551   552   553   554 
A review of control algorithm for autonomous guided vehicle Faiza Gul
Indonesian Journal of Electrical Engineering and Computer Science Vol 20, No 1: October 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v20.i1.pp552-562

Abstract

The autonomous guided vehicle is a efficient and effective platform for control system. Their non-linear nature helps in analysing the control algorithms more efficiently and effectively. The main objective of path planning is to find the optimal and shortest path avoiding the time complexity so environment can be modelled completely for vehicle. The paper includes explanation of different systems together with numerous algorithms have been discussed with advantages and disadvantages for example: Fuzzy control, Neural Control, Back-stepping control, Adaptive control, Sliding mode control and PID control and linear quadratic regulator. The conclusion includes the hybrid system integration based on the advantages and disadvantages presented in this paper.
The impact of user involvement in software development process Nouf Bin saif; Mashael Almohawes; Nor Shahida Mohd Jamail
Indonesian Journal of Electrical Engineering and Computer Science Vol 21, No 1: January 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v21.i1.pp354-359

Abstract

In software development process, user can take part in any phase of the process, depending on what model is being applied. Lack of user involvement can result in a poorly designed solution, or even a solution that conflicts with user’s needs. This review paper presents the impact of user involvement in software development process. In this study, different software development processes will be reviewed, show where the user usually gets involved in different models such as: Structural (Waterfall, V-model) and incremental (Scrum-extreme programming XP). As each model differs from the other, each of them has a different perspective of where user should take part and where they should not. This can be an asset that helps project managers, and leaders to develop suitable strategies to follow in their projects.
License plate recognition for campus auto-gate system Nur Liyana Yaacob; Ammar Ahmed Alkahtani; Fuad M. Noman; Ahmad Wafi Mahmood Zuhdi; Dhuha Habeeb
Indonesian Journal of Electrical Engineering and Computer Science Vol 21, No 1: January 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v21.i1.pp128-136

Abstract

Automatic licence plate recognition (LPR) has been a subject of study for the last few decades. Considering the recent advancements in machine learning methods and portable devices, this increasingly attracting researchers’ interest to provide more reliable LPR systems. Several LPR techniques have been reported in the literature in different intelligent transportation applications and surveillance systems, and yet a ropust LPR system remains a challenging research task. Because the performance of current techniques is subject to several factors and local conditions, this paper aims to explore the use of LPR in a specific application; i.e. Automatic plate recognition to monitor the entry and exit of vehicles at the university campus gates. Implementing an auto-gate system is an important application for a smooth control of flowing traffic especially during peak hours. We propose an automated system with the ability to capture, verify and recognize the license plates using image processing-based techniques. The system is aimed to work alongside existing access cards and other gate remote controls. Experimental evaluation of the system reveals a detection accuracy of 91.58%, a successful plate number segmentation rate of 91% and 80% accuracy of plate recognition.
A sustainable procedural method of software design process improvements Khalid T. Al-Sarayreh; Kenza Meridji; Mamdouh Alenezi; Mohammed Zarour; Mohammed D. Al-Majali
Indonesian Journal of Electrical Engineering and Computer Science Vol 21, No 1: January 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v21.i1.pp440-449

Abstract

In practice, the software process is an intermediate phase for enhancement and improvements the design for different types of software products and help developers to converts the specified requirements into prototypes that implement the design into reality. The objective of this paper is to provide software developers, designers and software engineers who work in small companies with a standards-based process improvement using a procedural method technique including detailed steps for designing the small software systems into their companies. The method used in this paper includes 1) analysis four different types of commonly design processes used by industry such as CMMI, conventional or software process in ISO 19759, generic and engineering design processes. 2)  mapping between those four design processes. 3) collect the dispersed design concepts proposed by those four processes. 4) proposed a sustainable procedural method of software design process improvements 5) Illustration of the applicability of the proposed approach using A template-based implementation. The primary result of this study is a guideline procedure with detailed steps for software design process improvements to help and guide developers in small companies to analyze and design a small software scales with limited cost and duration. In conclusion, this paper proposed a method to improve the design process for different kinds of the software systems using a template-based implementation to reduce the cost, effort and time needed in the implementation phase in small companies. The scientific implication behind a template-based implementation helps the system and software engineering to use this template easily in their small companies; because most of the time those engineering developers are responsible for analyzing, designing, implementing and testing their software systems during the whole software life cycle.
On the review of image and video-based depression detection using machine learning Arselan Ashraf; Teddy Surya Gunawan; Bob Subhan Riza; Edy Victor Haryanto; Zuriati Janin
Indonesian Journal of Electrical Engineering and Computer Science Vol 19, No 3: September 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v19.i3.pp1677-1684

Abstract

Machine learning has been introduced in the sphere of the medical field to enhance the accuracy, precision, and analysis of diagnostics while reducing laborious jobs. With the mounting evidence, machine learning has the capability to detect mental distress like depression. Since depression is the most prevalent mental disorder in our society at present, and almost the majority of the population suffers from this issue. Hence there is an extreme need for the depression detection models, which will provide a support system and early detection of depression. This review is based on the image and video-based depression detection model using machine learning techniques. This paper analyses the data acquisition techniques along with their databases. The indicators of depression are also reviewed in this paper. The evaluation of different researches, along with their performance parameters, is summarized. The paper concludes with remarks about the techniques used and the future scope of using the image and video-based depression prediction. 
New hybrid flower pollination algorithm with dragonfly algorithm and jaccard index to enhance solving university course timetable problem Ma. Shiela C. Sapul; Rachsuda Setthawong; Pisal Setthawong
Indonesian Journal of Electrical Engineering and Computer Science Vol 20, No 3: December 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v20.i3.pp1556-1568

Abstract

University course timetable problem (UCTP) is one of the problems on which many researches have been conducted over the years because of its importance in academic institutions. A nature-inspired metaheuristic optimization algorithm, flower pollination algorithm (FPA) has been adapted, so-called adapted FPA (AFPA), to cope with UCTP in the previous work. However, AFPA suffers from the stagnation problem because of the non-diversity in the population. To improve the diversity of the population, this work introduces new Hybrid FPA with two variants: JFPA provided the Jaccard index to determine similarities among categorical data and the greedy selection mechanism to improve the selection of the random solution, and DFPA applied the navigational characteristics of the dragonfly algorithm (DA) to help in the neighborhood relationship. The results in this study indicate that the proposed algorithms have better exploration ability and fast convergence rate in comparison to previous approaches; JFPA outperforms AFPA in 3 out of 4 datasets for both small and large datasets, and DFPA outperforms AFPA and GA in all datasets while it outperforms PSO in 3 out of 4 small datasets and 2 complex large datasets.
Regular clocking scheme based design of cost-efficient comparator in QCA Jayanta Pal; Mojtaba Noorallahzadeh; Jyotirmoy Sil Sharma; Dhrubajyoti Bhowmik; Apu Kumar Saha; Bibhash Sen
Indonesian Journal of Electrical Engineering and Computer Science Vol 21, No 1: January 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v21.i1.pp44-55

Abstract

Quantum-dot cellular automata (QCA) gained a notable attraction in the emerging nanotechnology to get the better of power consumption, density, nano-scale design, the performance of the present CMOS technology. Many designs had been proposed in QCA for an arithmetic circuit like adder, divider, parity checker and comparator etc. Most of the designs have been facing the challenges of cost efficiency, power dissi-pation, device density etc. However, consideration of design automation, underlying clocking layout and integration of the sub modules are the most important which has a direct impact on the fabrication of the design. This work proposed a novel cost ef-fective and power aware comparator design, which is an essential segment in central processing unit (CPU). The noticeable novelty of the design was the use of underlying regular clocking scheme. A new scalable, regular clocking scheme has been utilized in the coplanar design of the comparator which enables regular or uniform cell layout of QCA circuit. It also exhibited the significant improvement over existing counterparts having irregular clocking in terms of area and latency. QCADesigner was used to test and verify the functionality of the circuit and by using QCAPro the power dissipation has been analyzed.
Network size variation of geographical aided routing protocols in MANET Radhwan B. Al-Bayram; Radhwan M. Abdullah
Indonesian Journal of Electrical Engineering and Computer Science Vol 21, No 1: January 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v21.i1.pp420-428

Abstract

In position-based or geo-casting ad hoc networking applications, the data packets flooded in a limited area of the expected region toward the destination node. In such networks, a multi-hop routing is to followed when the position of the destination node is residing off-range the wireless transmission of the source node. Scientific literature references in this concept have been conducted depended on the diversity of quantitative metrics-tests regarding the size of the assigned networks so that this space is intended to be the variation in the density of the moving nodes (the number of nodes per unit of measurement). In this work, we studied the impact of the change in the size (area) of the ad hoc network with the concept of variation in the network's area while remaining the total number of nodes as a constant volume. In this paper, three of the position-based routing protocols have evaluated in terms of a network size variation. These routing protocols are: locations aided routing LAR, the distance routing effect algorithm for mobility DREAM, and the greedy perimeter stateless routing GPSR. With each simulation test, a quantitative metrics evaluation determined the most efficient protocol and the most efficient accessibility with the network environment changes in terms of actual workspace. 
Data mining in web personalization using the blended deep learning model Qusay Abdullah Abed; Osamah Mohammed Fadhil; Wathiq Laftah Al-Yaseen
Indonesian Journal of Electrical Engineering and Computer Science Vol 20, No 3: December 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v20.i3.pp1507-1512

Abstract

In general, multidimensional data (mobile application for example) contain a large number of unnecessary information. Web app users find it difficult to get the information needed quickly and effectively due to the sheer volume of data (big data produced per second). In this paper, we tend to study the data mining in web personalization using blended deep learning model. So, one of the effective solutions to this problem is web personalization. As well as, explore how this model helps to analyze and estimate the huge amounts of operations. Providing personalized recommendations to improve reliability depends on the web application using useful information in the web application. The results of this research are important for the training and testing of large data sets for a map of deep mixed learning based on the model of back-spread neural network. The HADOOP framework is using to perform a number of experiments in a different environment with a learning rate between -1 and +1. Also, using the number of techniques to evaluate the number of parameters, true positive cases are represent and fall into positive cases in this example to evaluate the proposed model
Enhance the accuracy of control algorithm for multilevel inverter based on artificial neural network Mohammed Rasheed; Moataz M. A. Alakkad; Rosli Omar; Marizan Sulaiman; Wahidah Abd Halim
Indonesian Journal of Electrical Engineering and Computer Science Vol 20, No 3: December 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v20.i3.pp1148-1158

Abstract

In converters or multilevel inverters it is very important to ensure that the output of the multilevel inverters waveforms in term of the voltage or current of the waveforms is smooth and without distortion. The artificial neural network (ANN) technique to obtaining proper switching angles sequences for a uniform step asymmetrical modified multilevel inverter by eliminating specified higher-order harmonics while maintaining the required fundamental voltage and current waveform. However, through this paper a modified CHB-MLI are proposed using artificial intelligence optimization technique based on modulation selective harmonic elimination (SHE-PWM). A most powerful modulation technique that used to minimize a harmonic contants during the outout waveform of multilevel inverter is a SHE-PWM method. The proposed a five-level modified cascaded H-bridge multilevel inverter (M-CHBMI) with ANN controller to improve the output voltage and current performance and achieve a lower total harmonic distortion (THD). The main aims of this paper cover design, modeling, prediction for real-time generation of optimal switching angles in a single-phase topology of modified five level CHB-MLI. due to the heavy cost of computation to solving transcendental nonlinear equations with specified number, a real-time application of selective harmonic elimination-pulse width modulation (SHE-PWM) technique is limited. SHE equations known as a transcendental nonlinear equation that contain trigonometric functions. The prototype of a 5-level inverter in digital signal processing (DSP) TMS320F2812 reveals that the proposed method is highly efficient for harmonic reduction in modified multilevel inverter.

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