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29,905 Article Results

Video application to accommodate students’ learning style for moral education in teacher education institutes

10.11591/ijeecs.v16.i1.pp349-354
Mohd Razimi Bin Husin , Hishamuddin Bin Ahmad , Mahizer Bin Hamzah
The purpose of this study is to explore the favored video applications in video use, compatible techniques and technology to accommodate the learning styles of moral education students in Teacher Education Institutes. This study is also to explore the contents of lesson suit to technology preferred by students in learning Moral Education. This is a case study in where data were collected through interviews. Six semester four students were chosen through purposive sampling from two Teacher Education Institutes in Malaysia. The constructs and internal validity were verified by experts while the external validity was verified through support from existing studies and theories. Data of the study were analyzed by using the Nvivo software to identify the features of favored video, compatible techniques and contents of lesson suit to technology that enhance the quality of teaching and learning of Moral Education to students. The Physiological Stimulus of Dunn and Dunn Learning Styles Model was used as guidance in the interviews because this model was the most suitable to be applied to students with Physiological Stimulus. The results of the analysis showed that short videos with suitable musics and short duration are the favored video for moral education students in teacher education institutes that enabled students to memorize the content knowledge. This research could be the learning guidelines on the use of videos and consequences activities of the shown videos that accommodate the learning styles of moral education students in Teacher Education Institutes which could be used by instructors in their professional practice in the lecture room.
Volume: 16
Issue: 1
Page: 349-354
Publish at: 2019-10-01

Heartbeats: music recommendation system with fuzzy inference engine

10.11591/ijeecs.v16.i1.pp275-282
Vinothini Kasinathan , Aida Mustapha , Tan Sau Tong , Mohamad Firdaus Che Abdul Rani , Nor Azlina Abd Rahman
In developing a music recommendation system, there are several factors that can contribute to the inefficiency in music selection. One of the problems persists during the music listening is that common music playing application lacks the ability to acquire context of the user. Another problem that common music recommendation system fails to address the is emotional impact of the recommended song. To address this gap, this paper presents a music recommendation system based on fuzzy inference engine that considers user activities and emotion as part of the recommendation parameters. The system includes building a smart music recommendation system that has user profiling capabilities to recommend correct songs based on the user’s preferences, mood and time. Findings of the this paper have shown that Heartbeats’s fuzzy inference engine has successfully achieved its aim, which is to improve users’ music listening experience by giving suitable song recommendation based on user context situation.
Volume: 16
Issue: 1
Page: 275-282
Publish at: 2019-10-01

Predictive torque control of electric vehicle

10.11591/ijece.v9i5.pp3522-3530
Mohammed El Amin Abdelkoui , Abdeldjebar Hazzab
The following article represents the development of a traction system of an electrical vehicle (EV) that consist of two Three-phase squirel-cage induction motors (IM) that permit the drive of the two front driving wheels. The two motors are controlled  using the Predictive Torque Control (PTC) method; A technique based on the next step prediction and evaluation of the electromagnetic torque and stator flux In a cost function in order to determinate the inverter switching vector that minimize the error between references and predicted values. PTC is what we tried to underline in this paper, so we explain below the principle of the method; and the system mathematical description is provided. An electronic differential is applied on the system to control independently the speed of the two wheels at different operating conditions in order to characterize the driving wheel system behavior, the robustness in steady state and in transient state.
Volume: 9
Issue: 5
Page: 3522-3530
Publish at: 2019-10-01

A voltage electrical distance application for power system load shedding considering the primary and secondary generator controls

10.11591/ijece.v9i5.pp3993-4002
Le Trong Nghia , Quyen Huy Anh , Phan Thi Thanh Binh , N Thai An , P. H. Hau
This paper proposes a method for determining location and calculating the minimum amount of power load needed to shed in order to recover the frequency back to the allowable range. Based on the consideration of the primary control of the turbine governor and the reserve power of the generators for secondary control, the minimum amount of load shedding was calculated in order to recover the frequency of the power system. Computation and analysis of the voltage electrical distance between the outage generator and the loads to prioritize distribution of the amount power load shedding at load bus positions. The nearer the load bus from the outage generator is, the higher the amount of load shedding will shed and vice versa. With this technique, a large amount of load shedding could be avoided, hence, saved from economic losses, and customer service interruption. The effectiveness of the proposed method tested on the IEEE 37 bus 9 generators power system standard has demonstrated the effectiveness of this method.
Volume: 9
Issue: 5
Page: 3993-4002
Publish at: 2019-10-01

Optimal power flow model for building integrated photovoltaic systems operating in the Andean range

10.11591/ijeecs.v16.i1.pp52-58
Andres Julian Aristizabal , Daniel Ospina , Mónica Castaneda , Sebastian Zapata , Edison Banguero
This paper presents a novel model to evaluate the power output of a building integrated photovoltaic system (BIPVS) operating in the Andean Range.  The Optimal Power Flow (OPF) model optimizes the power output of the BIPVS within an electrical system without violating operational limits.  The model is validated with the experimental performance of a 6 kW BIPVS installed in Bogota, Colombia. The meteorological data affect the power flow. The model is evaluated under sunny and rainy days to characterize the photovoltaic array performance. The results showed that the AC PV-energy generation was 5,904 kWh/year for 2017 and that there is a correlation factor of 99.87% between the experimental power flow and the proposed model.
Volume: 16
Issue: 1
Page: 52-58
Publish at: 2019-10-01

Comparing machine learning and ensemble learning in the field of football

10.11591/ijece.v9i5.pp4321-4325
Shuaib Khan , Kirubanand V. B
Football has been one of the most popular and loved sports since its birth on November 6th, 1869. The main reason for this is because it is highly unpredictable in nature. Predicting football matches results seems like the perfect problem for machine learning models. But there are various caveats such as picking the right features from an enormous number of available features.  There have been many models which have been applied to various football-related datasets. This paper aims to compare Support Vector Machines a machine learning model and XGBoost an Ensemble learning model and how Ensemble Learning can greatly improve the accuracy of the predictions.
Volume: 9
Issue: 5
Page: 4321-4325
Publish at: 2019-10-01

Web-based problem-based collaborative learning for converted muslim in learning Islamic knowledge

10.11591/ijeecs.v16.i1.pp516-523
Nurul Fatihah Sahidan , Nazrul Azha Mohamed Shaari , Hayati Abd Rahman
Web-based collaborative learning is well accepted learning methods since it provides flexibilities not only in term of learners’ interaction but also its timeliness learning materials. Even though there are many websites offer learning materials for Muslims generally but for new converted Muslims getting authentic materials and proper guidance are complicated. Hence, a web-based problem-based collaborative learning is proposed. This method integrates an elected virtual instructor to facilitate and support the new converted Muslims’ cognitive and emotional activities, develop their confidence of resolving and dealing with problems they are facing. This paper relates and analyzes the problem-based collaborative learning in terms of the functionality and user acceptance. Based on a survey conducted, it shows that 85% of the respondents found the system very useful and easy to use while 80%found that the system met their requirements. This system hypothetically able to help, and ease new converted Muslims in exploring Islamic authentic knowledge by using problem-based technique in web-based collaborative learning.
Volume: 16
Issue: 1
Page: 516-523
Publish at: 2019-10-01

Substitution-based linguistic steganography based on antonyms

10.11591/ijeecs.v16.i1.pp530-538
Fawwaz Zamir Mansor , Azizan Ismail , Roshidi Din , Aida Mustapha , Noor Azah Samsudin
The study of steganography focuses on strengthening the security in protecting content message by hiding the true intention behind the texts. However, existing linguistic steganography approach especially in synonym-based substitution is prone to attack. In this paper, a new substitution-based approach for linguistic steganography is proposed using antonyms. The antonym-based stego-text generation algorithm is implemented in a tool called the Antonym Substitution-based (ASb). Evaluation of ASb was carried out via verification and validation. The results showed highly favorable performance of this approach.
Volume: 16
Issue: 1
Page: 530-538
Publish at: 2019-10-01

Taylor series method in TDOA approach for indoor positioning system

10.11591/ijece.v9i5.pp3927-3933
Diniya Jose , Shoney Sebastian
Localisation technologies have always remained in the limelight of positioning-science as researchers have ever shown keen interest to know the exact positions of things. Ultrasonic sensors are mainly used for localisation of mobile robots since they provide high accuracy. This paper presents Taylor Series Method in Time Difference of Arrival approach using ultrasonic sensors.Signals are send from the sensors periodically.The time difference of arrival of signals from the ultrasonic sensors is used by the receiver unit to estimate the location of the mobile unit. The equations formed by using Time Difference of Approach are solved using Taylor Series Method. Taylor Series Method provides a more accurate result since they give less error compared to other methods and they ignore the measurement errors.
Volume: 9
Issue: 5
Page: 3927-3933
Publish at: 2019-10-01

Optimization of RF signal detection and alert system for restricted area

10.11591/ijeecs.v16.i1.pp325-332
Ili Najaa Aimi Mohd Nordin , Najla Aiman Nazari , Muhammad Rusydi Muhammad Razif , Nurulaqilla Khamis , Noraishikin Zulkarnain , Farkhana Muchtar , Nor Aira Zambri
This paper presents study on optimizing RF signal detection and alert system for restricted area. Nowadays, mobile phone utilization is very common among youngsters. Despite of being very useful for educational purpose, it turns into a noteworthy issue while being smuggled into restricted area, such as examination hall and used as a cheating tool. To overcome this problem, an advancement on the detection and alert system of active mobile phone was proposed by implementing RF signal detection system optimization using multi-band dipole antenna and alert system utilizing LED and camera. The system demonstrated higher sensitivity to 3G signal followed by GSM and Wi-Fi with the decrease in voltage value across the LED when distinguishing 3G, GSM and Wi-Fi signal with the estimation of 2.316 V, 1.162 V and 1.054 V respectively. The alert system was improved by activating LED and camera instead of buzzer in displaying the region of the active mobile phone. The camera was able to effectively capture the conceivable cheating area when active mobile phone is present. The images of the potential cheating region can be recovered from the computer. This framework can assist the invigilators with being cautioned to the potential regions of cheating using mobile phone.
Volume: 16
Issue: 1
Page: 325-332
Publish at: 2019-10-01

A review of object-oriented approach for test case prioritization

10.11591/ijeecs.v16.i1.pp429-434
Umar Farooq , Hannani Aman , Aida Mustapha , Zainuri Saringat
The most essential phase in regression testing is Test Case Prioritization (TCP), with its primary objective to increase the fault detection rate at different stages during testing. Prior to achieving the objective, existing evidence of techniques in TCP must be synthesized and analyzed. At present, fault detection for TCP based on object-oriented features only consider statement, module, and class level. The important features of object-oriented (OO) programming like inheritance and polymorphism have not been fully explored for fault detection in TCP. Such OO concepts are important for test case selection and in turn for ranking the test cases (prioritization). This paper reviews various test case prioritization techniques specific to OO systems. This review is hoped to highlight the importance and usage of TCP in relation to object-oriented software development lifecycle.
Volume: 16
Issue: 1
Page: 429-434
Publish at: 2019-10-01

Global system for mobile communication based domestic electrical load control using arduino uno

10.11591/ijeecs.v16.i1.pp342-348
L. Velusamy , S. Salimin , S. N. M. Rozi , M. N. Abdullah , N. H. Radzi , S. A. Jumaat , A. F. M. Noor , R. Hamdan
This paper presents a wireless operation to switch on and off the load such as light, fan and power socket by sending messages via smartphone. The proposed project is focused on usage of the global system for mobile communication (GSM) protocol, which enables the user to control loads away from targeted area using the frequency bandwidths. The concept of serial communication and Uno microcontroller-commands are being applied towards development of the GSM based domestic electrical load control using Arduino UNO system. Besides that, the existing electrical switches that control the load manually is not being removed and this gives a safer control over the switches with low voltage usage technique. This system is designed to control electrical devices throughout the house with easy installation process, ease of use and cost effective design and implementation. Additionally, the system has several possibility to help satisfy the needs of the elderly and the handicapped at houses. Prototype of GSM based domestic electrical load control using Arduino UNO was implemented and successfully tested with maximum of five loads such as light, fan and power sockets.
Volume: 16
Issue: 1
Page: 342-348
Publish at: 2019-10-01

Graphical user interface based model for transmission line performance implementation in power system

10.11591/ijeecs.v16.i1.pp92-100
Nur Ashida Salim , Hasmaini Mohamad , Zuhaila Mat Yasin , Nur Fadilah Ab Aziz , Nur Azzammudin Rahmat
Transmission line is one of the important elements in the process of power transfer from the source of generation to the consumer. In order to analyze the performance of a transmission line, it has to be represented by an equivalent model with suitable circuit parameters at a per phase basis. The line models are used to measure voltages, currents and the amount of power flow depending on the line length. Transmission line performance is determined by the voltage regulation and its efficiency under their normal operating conditions. In this study, a systematic approach was developed in order to assists the lecturers in teaching this important topic to the students despite so many complicated mathematical equations involved in the calculation. With the aid of Graphical User Interface (GUI), the performance of transmission line can be determined and monitored due to the change of line parameters. The results obtained could assist the lecturers in delivering the concept of engineering in a more systematic approach. On top of that, it could also assist the power system utility in planning the transmission line that needed to be installed in the system.
Volume: 16
Issue: 1
Page: 92-100
Publish at: 2019-10-01

Ovulation hormonal imbalance recognition system using saliva’s conductivity analysis based on potentiometric method

10.11591/ijeecs.v16.i1.pp176-183
Romeo Jr. Jorda , Kit Erick Bartolome , Christopher Buban , Ma. Aimee De Los Reyes , Angelo Maingat , Micaela Joyce Oledan , Lean Karlo Tolentino
Hormonal imbalance is often pointed out by medical experts to be the cause of menstrual irregularity, a common problem of women. This study aims to develop a device that would determine if a patient has hormonal imbalance by testing saliva’s conductivity onto the device for 28 consecutive days, thus, determining the cause of the patient’s menstrual irregularity. To test the accuracy of the device, the researchers selected three women residing in one home to use the device. To determine if a woman has hormonal imbalance, the data, when plotted in a chart, should have a sudden peak. However, data can’t be analyzed through visual assumptions only. Therefore, the data is analyzed through sample standard deviation. If one data is higher or lower than the sum and difference of the sample standard deviation and the mean, the woman is negative in hormonal imbalance. Comparing the result from the device and from the blood test, it is concluded that the results from the device matched the results from the blood test and medical expert interpretation.
Volume: 16
Issue: 1
Page: 176-183
Publish at: 2019-10-01

Business intelligence addressing service quality for big data analytics in public sector

10.11591/ijeecs.v16.i1.pp491-499
Sadesh Manikam , Shamsul Sahibudin , Vinothini Kasinathan
With the inauguration of Big Data Analytics initiative nationally, many nations have participated and paved way for BDA ecosystem. The initiative is a catalyst to further encourage economic growth in Public Sectors. Some of the common key deliverables identified are increasing productivity involving information communications technology, cost savings, shared benefits, and encourage innovation. The objectives can be further elaborated by driving big data analytics demands in various public sectors agency, adopting big data analytics framework supporting the building of big data industry. This has encouraged talents and startup companies inspiring their capabilities by developing various technology platform, collaborate and innovate amongst public and private sectors, and further strengthen data governance by creating policy and procedures. With the establishment of big data analytics framework, performance measurement can be enforced effortlessly using the principles of business intelligence maturity model and the technological stack comes with it. Various data sources can be used to benchmark service quality using advanced analytics and data science techniques.
Volume: 16
Issue: 1
Page: 491-499
Publish at: 2019-10-01
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