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31,456 Article Results

Evaluation of lightweight battery management system with field test of electric bus in campus transit system

10.11591/ijece.v10i6.pp6202-6213
Watcharin Srirattanawichaikul , Paramet Wirasanti
A battery management system is a crucial part of a battery-powered electric vehicle, which functions as a monitoring system, state estimation, and protection for the vehicle. Among these functions, the state estimation, i.e., state of charge and remaining battery life estimation, is widely researched in order to find an accuracy estimation methodology. Most of the recent researches are based on the study of the battery cell level and the complex algorithm. In practice, there is a statement that the method should be simple and robust. Therefore, this research work is focused on the study of lightweight methodology for state estimation based on the battery pack. The discrete Coulomb counting method and the data-driven approach, based on the Palmgren-Miner method, are proposed for the estimation of the state of charge and remaining battery life, respectively. The proposed methods are evaluated through a battery-powered electric bus under real scenario-based circumstances in the campus transit system. In addition, the battery life-cycle cost analysis is also investigated. The tested bus has currently been in operation in the transit system for more than one year.
Volume: 10
Issue: 6
Page: 6202-6213
Publish at: 2020-12-01

Internet of things–based vital sign monitoring system

10.11591/ijece.v10i6.pp5891-5898
Alamsyah Alamsyah , Mery Subito , Mohammad Ikhlayel , Eko Setijadi
Wireless network technology-based internet of things (IoT) has increased significantly and exciting to study, especially vital sign monitoring (body temperature, heart rate, and blood pressure). Vital sign monitoring is crucial to carry out to strengthen medical diagnoses and the continuity of patient health. Vital sign monitoring conducted by medical personnel to diagnose the patient's health condition is still manual. Medical staff must visit patients in each room, and the equipment used is still cable-based. Vital sign examination like this is certainly not practical because it requires a long time in the process of diagnosis. The proposed vital sign monitoring system design aims to assist medical personnel in diagnosing the patient's illness. Vital sign monitoring system uses HRM-2511E sensor for heart detection, DS18b20 sensor for body temperature detection, and MPX5050DP sensor for blood pressure detection. Vital sign data processing uses a raspberry pi as a data delivery media-based internet of things (IoT). Based on the results of the vital sign data retrieval shows that the tool designed functioning correctly. The accuracy of the proposed device for body temperature is 99.51%, heart rate is 97.90%, and blood pressure is 97.69%.
Volume: 10
Issue: 6
Page: 5891-5898
Publish at: 2020-12-01

Hyperspectral image classification using support vector machines

10.11591/ijai.v9.i4.pp684-690
Jonnadula Dr.J.Harikiran Harikiran
In this paper, a novel approach for hyperspectral image classification technique is presented using principal component analysis (PCA), bidimensional empirical mode decomposition (BEMD) and support vector machines (SVM). In this process, using PCA feature extraction technique on Hyperspectral Dataset, the first principal component is extracted. This component is supplied as input to BEMD algorithm, which divides the component into four parts, the first three parts represents intrensic mode functions (IMF) and last part shows the residue. These BIMFs and residue image is further taken as input to the SVM for classification. The results of experiments on two popular datasets of hyperspectral remote sensing scenes represent that the proposed-model offers a competitive analyticalperformance in comparison to some established methods.
Volume: 9
Issue: 4
Page: 684-690
Publish at: 2020-12-01

Fuzzy logic control of hybrid systems including renewable energy in microgrids

10.11591/ijece.v10i6.pp5559-5569
Omar Feddaoui , Riad Toufouti , Labed Jamel , Salima Meziane
With a growing demand for more energy from subscribers, a traditional electric grid is unable to meet new challenges, in the remote areas remains the extension of the conventional electric network very hard to do make prohibitively expensive. Therefore, a new advanced generation of traditional electrical is inevitable and indispensable to move toward an efficient, economical, green, clean and self-correcting power system. The most well-known term used to define this next generation power system is Micro Grid (MG) based on renewable energy sources (RES). Since, the energy produced by RES are not constant at all times, a wide range of energy control techniques must be involved to provide a reliable power to consumers. To solve this problem in this paper we present a Fuzzy Logic Control of isolated Hybrid Systems (HRES) Including Renewable Energy in Micro-Grids to maintain a stability in voltage and frequency output especially in the standalone application. The considered HRES combine a wind turbine (WT) and photovoltaic (PV) panels as primary energy sources and an energy storage system (ESS) based on battery as a backup solution. Simulation results obtained from MATLAB/Simulink environment demonstrate the effectiveness of the proposed algorithm in decreasing the electricity bill of customer.
Volume: 10
Issue: 6
Page: 5559-5569
Publish at: 2020-12-01

Developing Indonesian language learning assessments: Strengthening the personal competence and Islamic psychosocial of teachers

10.11591/ijere.v9i4.20677
Desi Sukenti , Syahraini Tambak , Charlina Charlina
Research on the assessment of learning has been carried out by many other researchers, but putting Islamic psychosocial and personal competence as a solution has not been found. This study aimed to develop an assessment of Indonesian Language learning for high school teachers by strengthening Islamic psycosocial and personality competencies. Using the ex post facto approach, by distributing questionnaires to 213 Indonesian Language teachers and analyzed using descriptive and regression. This research results in the mastery of teachers about personality competence, Islamic psychosocial, and the assessment of Indonesian Language is the same as medium mastery. Personality competence and Islamic psychosocial as together are very strong in developing the ability to assessment Indonesian Language learning in high school teachers. Islamic psychosocial is predicted to be able to improve the assessment of Indonesian Language high school teacher learning as well as personality competence. This study concludes that personality’s competences and Islamic psychosocial are very significant in developing the assessment of Indonesian Language high school teacher's in learning. This research contribution strengthens the development of the theory of "teacher performance assesment" in the world of education. For the Department of Education to develop policies to improve the assessment of Indonesian Language learning by conducting Islamic psychosocial and personality competency training for all teachers in Indonesia.
Volume: 9
Issue: 4
Page: 1079-1087
Publish at: 2020-12-01

Color image encryption based on chaotic shit keying with lossless compression

10.11591/ijece.v10i6.pp5736-5748
Ashwaq T. Hashim , Bahaa D. Jalil
In order to protect valuable data from undesirable readers or against illegal reproduction and modifications, there have been various data encryption techniques. Many methods are developed to perform image encryption. The use of chaotic map for image encryption is very effective, since it increase the security, due to its random behavior. The most attractive feature of deterministic chaotic systems is he extremely unexpected and random-look nature of chaotic signals that may lead to novel applications. A novel image encryption algorithm based on compression and hyper chaotic map techniques is proposed. Firstly the image is decomposed into three subbands R, G, and B then each band is compressed using lossless technique. The generated chaotic sequences from the 3D chaotic system are employed to code the compressed results by employing the idea of chaotic shift encoding (CSK) modulation to encode the three bands to generate the encrypted image. The experiments show that the proposed method give good results in term of security, feasibility, and robustness.
Volume: 10
Issue: 6
Page: 5736-5748
Publish at: 2020-12-01

Student performance prediction using simple additive weighting method

10.11591/ijai.v9.i4.pp630-637
Harco Leslie Hendric Spits Warnars , Arif Fahrudin , Wiranto Herry Utomo
In the world of student education is an important component where the role of students is as someone who is psychologically ready to receive lessons or other input from the school. However, each student has different performance and development, therefore it is important to do monitoring so that student performance will always be monitored by the school for improving student quality maintenance. Also, in the process of valuing education for students needs to be done by giving an appreciation in the form of giving gifts or just giving words and motivation so that students can perform better in learning and participating in other activities at school. In terms of selecting students with good performance or those who have a very declining development using the school method not only assess students by one criterion but with several criteria to produce a decision that can be accepted by many people. Performance Students must also be monitored by the school or the related rights. In this paper, the student performance prediction was assessed with 5 criteria components and the result shows there are 10 very satisfy students, 10 satisfying students, 10 well students, and 10 Enough students from sample 40 students.
Volume: 9
Issue: 4
Page: 630-637
Publish at: 2020-12-01

Speech encryption by multiple chaotic map with fast fourier transform

10.11591/ijece.v10i6.pp5658-5664
Yahia Alemami , Mohamad Afendee Mohamed , Saleh Atiewi , Mustafa Mamat
There are various ways of social communication including writing (WhatsApp, Messenger, Facebook, Twitter, Skype, etc), calling (mobile phone) and voice recording (record your voice and then send it to the other party), but there are ways to eavesdropping the calls and voice messages, One way to solve this problem is via cryptographic approach. Chaos cryptography build on top of nonlinear dynamics chaotic system has gained some footstep in data security. It provides an alternative to conventional cryptography built on top of mathematical structures. This research focuses on the protection of speech recording by encrypting it with multiple encryption algorithms, including chaotic maps (Logistic Map and Sine Maps).
Volume: 10
Issue: 6
Page: 5658-5664
Publish at: 2020-12-01

Hybrid bat-ant colony optimization algorithm for rule-based feature selection in health care

10.11591/ijece.v10i6.pp6655-6663
Rafid Sagban , Haydar A. Marhoon , Raaid Alubady
Rule-based classification in the field of health care using artificial intelligence provides solutions in decision-making problems involving different domains. An important challenge is providing access to good and fast health facilities. Cervical cancer is one of the most frequent causes of death in females. The diagnostic methods for cervical cancer used in health centers are costly and time-consuming. In this paper, bat algorithm for feature selection and ant colony optimization-based classification algorithm were applied on cervical cancer data set obtained from the repository of the University of California, Irvine to analyze the disease based on optimal features. The proposed algorithm outperforms other methods in terms of comprehensibility and obtains better results in terms of classification accuracy.
Volume: 10
Issue: 6
Page: 6655-6663
Publish at: 2020-12-01

Integrate for car brake failure and engine overheat system

10.11591/ijeecs.v20.i3.pp1299-1308
G. Subhashini , Anas Aiman Albanna , Raed Abdullah
One of the most important features in a car is its braking system and engine. The braking system enables the driver to control the speed of the vehicle when the need arises in order to protect the car, driver and other road users from accidents which might be fatal. The performance of the entire car also relies largely on the effective delivery and operation of the car engine whose ability to deliver the required performance is hinged on its temperature. In recent years a variety of IOT based monitoring and control systems have been explored in various areas of modern technology. This Final Year research project proposes the design and development of an IOT based vehicle brake failure and engine overheating system. The proposed system utilizes a network of sensors to monitor the temperature of the car engine, obstacles along the path of the car and the speed of the vehicle. The sensor data retrieved from the monitoring system is used by the control system consisting of a microcontroller to make decisive automatic decisions for the vehicle brake and failure system. A warning system consisting of LCD, Buzzer and LED has also been added into the system to warn the driver regarding the operation of the braking and engine overheating system. Two microcontrollers have been utilized for this research i.e. Arduino Uno for sensor data acquisition and processing and a Raspberry Pi microcontroller for purposes of sending the data wirelessly to a web platform. The web platform developed enables the user to remotely access real-time and past data from the system vehicle brake failure and engine overheating system. A variety of tests were conducted on the system to evaluate its performance whereby 95.4% accuracy was achieved in in terms of the ability of the car to effectively and automatically brake in the presence of obstacles and in terms of speed control. Testing done on the ability of the system to accurately monitor the engine temperature shows that its able to achieve 97.5% accuracy. The IOT system is able to transmit the sensor data retrieved from the system using both WIFI and mobile data whereby an average transmission time of 2.32 s and 4.33 s was recorded for each system respectively.
Volume: 20
Issue: 3
Page: 1299-1308
Publish at: 2020-12-01

Optimal coordinated design of PSS and UPFC-POD using DEO algorithm to enhance damping performance

10.11591/ijece.v10i6.pp6111-6121
Omar Muhammed Neda
Low-frequency oscillations (LFO) are an inevitable problem of power systems and they have a great effect on the capability of transfer and power system stability. The power system stabilizers (PSSs) as well as flexible AC transmission system (FACTS) devices can help to damp LFO. The target of this study is to tackle the problem of a dual-coordinated design between PSS and unified power flow controller (UPFC) implementing the task of power oscillation damping (POD) controller in a single machine infinite bus (SMIB) system. So, dolphin echolocation optimization (DEO) technique is utilized as an optimization tool to search for optimal parameter tunings based on objective function for enhancing the dynamic stability performance for a SMIB. DEO an algorithm has a few parameters, simple rules, provides the optimum result and is applicable to a wide range of problems like other meta-heuristic algorithms. Use DEO gave the best results in damping LFO compared to particle swarm optimization (PSO) algorithm. From the comparison results between PSO and DEO, it was shown that DEO provides faster settling time, less overshoot, higher damping oscillations and greatly improves system stability. Also, the comparison results prove that the multiple stabilizers show supremacy over independent controllers in mitigationg LFO of a SMIB.
Volume: 10
Issue: 6
Page: 6111-6121
Publish at: 2020-12-01

Object gripping algorithm for robotic assistance by means of deep learning

10.11591/ijece.v10i6.pp6292-6299
Robinson Jimenez-Moreno , Astrid Rubiano Fonseca , Jose Luis Ramirez
This paper exposes the use of recent deep learning techniques in the state of the art, little addressed in robotic applications, where a new algorithm based on Faster R-CNN and CNN regression is exposed. The machine vision systems implemented, tend to require multiple stages to locate an object and allow a robot to take it, increasing the noise in the system and the processing times. The convolutional networks based on regions allow one to solve this problem, it is used for it two convolutional architectures, one for classification and location of three types of objects and one to determine the grip angle for a robotic gripper. Under the establish virtual environment, the grip algorithm works up to 5 frames per second with a 100% object classification, and with the implementation of the Faster R-CNN, it allows obtain 100% accuracy in the classifications of the test database, and over a 97% of average precision locating the generated boxes in each element, gripping successfully the objects.
Volume: 10
Issue: 6
Page: 6292-6299
Publish at: 2020-12-01

Chaotic based Pteropus algorithm for solving optimal reactive power problem

10.11591/ijaas.v9.i4.pp265-269
Lenin Kanagasabai
In this work, a Chaotic based Pteropus algorithm (CPA) has been proposed for solving optimal reactive power problem. Pteropus algorithm imitates deeds of the Pteropus. Normally Pteropus while flying it avoid obstacles by using sonar echoes, particularly utilize time delay. To the original Pteropus algorithm chaotic disturbance has been applied and the optimal capability of the algorithm has been improved in search of global solution. In order to augment the population diversity and prevent early convergence, adaptively chaotic disturbance is added at the time of stagnation. Furthermore exploration and exploitation capability of the proposed algorithm has been improved. Proposed CPA technique has been tested in standard IEEE 14,300 bus systems & real power loss has been considerably reduced.
Volume: 9
Issue: 4
Page: 265-269
Publish at: 2020-12-01

Design of experiments approach for modeling the electrical response of a photovoltaic module

10.11591/ijeecs.v20.i3.pp1140-1147
Fatma Zohra Kessaissia , Abdallah Zegaoui , Rachid Taleb , Chahinez Fares , Michel Aillerie
In the current paper, modeling and evaluation of the significant effect of independent variables on the behavior of the electrical response of a multi-crystalline photovoltaic (PV) module using design of experiments (DoE) approach is simulated. The main purpose of this contribution is to evaluate the maximum power response dependence within the indoor conditions of both variations of solar irradiation and surface temperature and checking the pertinent one on the defined response. the DoE approach is used for estimating both main and combined effect of the two independents considered variables. Multiple linear regression was been introduced to justify the relationship between the independent input variables and dependent output variable, also to determine which input factor is the most significant on the output variable. The DoE model can be used for predicting the response variable at different operating condition in a considered domain study. In addition, DoE approach based on statistical tool for analyzing the accuracy of the predictive model, then the significance of coefficients in the predictive model using statistical and graphical analysis. Therefore, an ANOVA Table can summarize the results, detect the parameters influences on responses variations and determine the best predictive model then reproduce the most possible the experimental data.
Volume: 20
Issue: 3
Page: 1140-1147
Publish at: 2020-12-01

A non-linear control method for active magnetic bearings with bounded input and output

10.11591/ijpeds.v11.i4.pp2154-2163
Danh Huy Nguyen , Lam Tung Nguyen , Duc Chinh Hoang
Magnetic bearing is well-known for its advantage of reducing friction in rotary machines and is placing conventional bearings where high-speed operations and cleanliness are essential. It can be shown that the AM is a nonlinear system due to the relation between the magnetic force and current/rotor displacement. In this paper, a mathematical model of a 4-DOF AMB supported by four dual electric magnets is presented. The control objective is placed in a view of control input saturation and output limitation that are meaningful aspect in practical applications. Backstepping algorithm based control strategy is then adopted in order to achieve the high dynamic performance of the bearing. The control is designed in such a way that it takes input and output constraints into account by flexibly using hyperbolic tangent and barrier Lyapunov functions. Informative simulation studies are carried out to understand the operations of the machine and evaluate the controller quality.
Volume: 11
Issue: 4
Page: 2154-2163
Publish at: 2020-12-01
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