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Bulletin of Electrical Engineering and Informatics

EEI
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Published by Universitas Ahmad Dahlan

ISSN : - EISSN : - DOI : -

Core Subject : Engineering,

Electrical & Electronics Engineering

Bulletin of Electrical Engineering and Informatics (Buletin Teknik Elektro dan Informatika) ISSN: 2089-3191, e-ISSN: 2302-9285 is open to submission from scholars and experts in the wide areas of electrical, electronics, instrumentation, control, telecommunication and computer engineering from the global world. The journal publishes original papers in the field of electrical, computer and informatics engineering.

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Articles 50 Documents

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Search results for , issue "Vol 9, No 1: February 2020" : 50 Documents clear

A novel miniature coplanar band-pass filter for ISM applications Badr Nasiri; Abdelhadi Ennajih; Ahmed Errkik; Jamal Zbitou; Mounir Derri
Bulletin of Electrical Engineering and Informatics Vol 9, No 1: February 2020
Publisher : Institute of Advanced Engineering and Science

This paper presents a novel approach to design a compact miniature coplanar band-pass filter by using rectangular split ring resonator. This proposed circuit is designed for the Industrial, Scientific and, Medical (ISM) frequency band applications at 2.4 GHz. At the first stage, a metamaterial resonator is designed and simulated in a TEM waveguide to verifiy its electromagnetic proprieties around the desired frequency bands. At the second stage, a band pass filter is designed using the proposed metamaterial resonator. Many parametric studies are realized to investigate the effect and influence of some resonator parameters on the proposed BPF performances. ADS Agilent and CST-MWS solvers are used in order to verify the simulated results. The circuit frequency responses show an excellent insertion loss and good return loss in the passband.

Analysis of texture features for wood defect classification Nur Dalila Abdullah; Ummi Raba'ah Hashim; Sabrina Ahmad; Lizawati Salahuddin
Bulletin of Electrical Engineering and Informatics Vol 9, No 1: February 2020
Publisher : Institute of Advanced Engineering and Science

Selecting important features in classifying wood defects remains a challenging issue to the automated visual inspection domain. This study aims to address the extraction and analysis of features based on statistical texture on images of wood defects. A series of procedures including feature extraction using the Grey Level Dependence Matrix (GLDM) and feature analysis were executed in order to investigate the appropriate displacement and quantisation parameters that could significantly classify wood defects. Samples were taken from the KembangSemangkuk (KSK), Meranti and Merbau wood species. Findings from visual analysis and classification accuracy measures suggest that the feature set with the displacement parameter, d=2, and quantisation level, q=128, shows the highest classification accuracy. However, to achieve less computational cost, the feature set with quantisation level, q=32, shows acceptable performance in terms of classification accuracy.

IoT based temperature and humidity monitoring framework Rafizah Ab Rahman; Ummi Raba'ah Hashim; Sabrina Ahmad
Bulletin of Electrical Engineering and Informatics Vol 9, No 1: February 2020
Publisher : Institute of Advanced Engineering and Science

This study explored the use of Internet of Things (IoT) in monitoring the temperature and humidity of a data centre in real-time using a simple monitoring system to determine the relationship and difference between temperature and humidity with respect to the different locations of measurements. The development of temperature and humidity monitoring system was accomplished using the proposed framework and has been deployed at the data centre of Politeknik Muadzam Shah, where the readings were recorded and sent to an IoT platform of AT and T M2X to be stored. The data was then retrieved and analysed showing that there was a significant difference in temperature and humidity measured at different locations. X The monitoring system was also successful in detecting extreme changes in temperature and humidity and automatically send a notification to IT personnel via e-mail, short messaging service (SMS) and mobile push notification for further action.

Bacterial quorum sensing applied to the coordination of autonomous robot swarms Fredy H. Martinez S.; Fernando Martinez S.; Holman Montiel A.
Bulletin of Electrical Engineering and Informatics Vol 9, No 1: February 2020
Publisher : Institute of Advanced Engineering and Science

This paper proposes a strategy for the coordination of a swarm of robots in an unknown environment. The basic idea is to achieve the autonomous movement of the group from an initial region to a target region avoiding obstacles. We use a behavior model similar to bacterial Quorum Sensing (QS) as a technique for the coordination of robots. This behavior has been described as a key element in the interaction between bacteria, and we use it as a basic tool for local interaction, both between the robot and between the robot and the environment. The movement of the swarm of robots, or multi-agent robotic system, is shown as an emerging behavior resulting from the interaction of agents (in the context of artificial intelligence) from basic rules of behavior. The proposed strategy was successfully evaluated by simulation on a set of robots.

Development of vocabulary learning application by using machine learning technique Noor Mohd Ariff Brahin; Haslinah Mohd Nasir; Aiman Zakwan Jidin; Mohd Faizal Zulkifli; Tole Sutikno
Bulletin of Electrical Engineering and Informatics Vol 9, No 1: February 2020
Publisher : Institute of Advanced Engineering and Science

Nowadays an educational mobile application has been widely accepted and opened new windows of opportunity to explore. With its flexibility and practicality, the mobile application can promote learning through playing with an interactive environment especially to the children. This paper describes the development of mobile learning to help children above 4 years old in learning English and Arabic language in a playful and fun way. The application is developed with a combination of Android Studio and the machine learning technique, TensorFlow object detection API in order to predict the output result. Developed application namely “LearnWithIman” has successfully been implemented and the results show the prediction of application is accurate based on the captured image with the list item. The inclusion of the user database for lesson tracking and new lesson will be added for improvement in the future.

Millennials and the use of social networking sites as a job searching tool Zarina Denan; Zarina Abdul Munir; Nurul Hazzira Fadzil; Kardina Kamaruddin; Mohd Redhuan Dzulkifli
Bulletin of Electrical Engineering and Informatics Vol 9, No 1: February 2020
Publisher : Institute of Advanced Engineering and Science

This research is conducted to examine the factors that influence the behavioural intention of millienials in using SNS when seeking for a job. The data was collected from respondents who are from the generation Y demographic and actively looking for jobs. The respondents must possess some experience in using SNS when job hunting. The data was then gathered and analyzed using partial least square (PLS) which encompasses the measurement and structural models of the study. The findings revealed that three of the constructs as applied in TAM are statistically significant to behavioural intention. The three factors that influenced the job seekers’ intention to use SNSs as a job search tool are; perceived usefulness, perceived ease of use and privacy concerns. All these factors are elements which contribute to and have a significant relationship with job seekers’ intention to use SNSs, as verified using PLS data analysis. The recruiters or employers who intend to adopt SNSs in the recruitment process are advised to design the recruitment plan regarding the utilization of SNSs to be more convenient and user-friendly. This study provides insight and knowledge regarding the impact of technology in online job application and hiring processes.

Development of fast and accurate algorithm to extract the five parameters of photovoltaic modules Hisham Haider; Syafrudin Masri; Abdul-Malik H. Y. Saad; Ashraf Bani Ahmad; Tole Sutikno
Bulletin of Electrical Engineering and Informatics Vol 9, No 1: February 2020
Publisher : Institute of Advanced Engineering and Science

The mathematical model of a photovoltaic (PV) cell can help in analyzing the PV system performance easily. In this paper, a new algorithm is developed to determine the values of five parameters model of photovoltaic module. The proposed method which is called Extract the Five Parameters of Photovoltaic Modules (EFPPM) is used to find the optimum values of the I-V equation’s parameters that fit with I-V curve. This method could reduce the computation time of finding the values of PV model parameters. The proposed algorithm does not only reduce the computation time but it provides accurate values of PV model’s parameters, too. A comparison with conventional algorithm shows superiority of the proposed EFPPM in term of computation speed. The results show that the reduction of the computation time can reach nearly twenty one times faster. The results also clarify that the I-V and P-V curves of EFPPM are exactly the same as provided by data sheets.

Reduction the electric field effect generated by high voltage on fiber optic cables using metal shielding Izz K. Abboud; Shahir F. Nawaf; Mohammed H. Dervish
Bulletin of Electrical Engineering and Informatics Vol 9, No 1: February 2020
Publisher : Institute of Advanced Engineering and Science

Because of the fiber optic cables have perfect resistant to weather and environmental effects they can be installed on or with transmission line towers for the power supply control and data communication. To avoid the damages of fiber optic cables, it is used shielded fiber optic cables. Due to the using of this shielding, the electric field that produced from transmission line will be effected .In this paper is studied and compared the influence of metal shielding of fiber-optic cable in the strong electric field which produced by a high voltage transmission line for various types of channel configuration. Based on the results obtained, the metal shielding of fiber optic cables will reduce the electric field strength that lead to good efficiency of communication through the optical cable.

Deep stair walking detection using wearable inertial sensor via long short-term memory network Gan Wei Nie; Nurul Fathiah Ghazali; Norazman Shahar; Muhammad Amir As'ari
Bulletin of Electrical Engineering and Informatics Vol 9, No 1: February 2020
Publisher : Institute of Advanced Engineering and Science

This paper proposes a stair walking detection via Long-short Term Memory (LSTM) network to prevent stair fall event happen by alerting caregiver for assistance as soon as possible. The tri-axial accelerometer and gyroscope data of five activities of daily living (ADLs) including stair walking is collected from 20 subjects with wearable inertial sensors on the left heel, right heel, chest, left wrist and right wrist. Several parameters which are window size, sensor deployment, number of hidden cell unit and LSTM architecture were varied in finding an optimized LSTM model for stair walking detection. As the result, the best model in detecting stair walking event that achieve 95.6% testing accuracy is double layered LSTM with 250 hidden cell units that is fed with data from all sensor locations with window size of 2 seconds. The result also shows that with similar detection model but fed with single sensor data, the model can achieve very good performance which is above 83.2%. It should be possible, therefore, to integrate the proposed detection model for fall prevention especially among patients or elderly in helping to alert the caregiver when stair walking event occur.

PHP modernization approach generating KDM models from PHP legacy code Amine Moutaouakkil; Samir Mbarki
Bulletin of Electrical Engineering and Informatics Vol 9, No 1: February 2020
Publisher : Institute of Advanced Engineering and Science

With the rise of new web technologies such as web 2.0, Jquery, Bootstrap. Modernizing legacy web systems to benefit from the advantages of the new technologies is more and more relevant. The migration of a system from an environment to another is a time and effort consuming process, it involves a complete rewrite of the application adapted to the target platform. To realize this migration in an automated and standardized way, many approaches have tried to define standardized engineering processes. Architecture Driven Modernization (ADM) defines an approach to standardize and automate the reengineering process. We defined an ADM approach to represent PHP web applications in the highest level of abstraction models. To do this, we have used software artifacts as a entry point . This paper describes the extraction process, which permits discovering and understanding of the legacy system. And generate models to represent the system in an abstract way.

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