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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 9,226 Documents
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Arduino based outing and attendance system for boarding school students Matthew Khoo Kah Wen; Nabihah binti Ahmad; Siti Hawa binti Ruslan
Indonesian Journal of Electrical Engineering and Computer Science Vol 20, No 2: November 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v20.i2.pp1053-1061

Abstract

The continuous flourishing of boarding schools in Malaysia have prompted a need for the development of outing systems that can manage the outing activities of students whilst ensuring their safety and security. In this project, a smart outing and attendance system that accurately records the details of all students and their respective outing activities is proposed. The development of this system via the XAMPP platform allows the information regarding students’ outing activities to be saved in an online database, whereby it is closely monitored and managed by the school authorities. Students who attend authorized outing activities have to scan their student ID card at an RFID reader which is installed at the main entrance of the school compound, where the information regarding their departure and arrival time at the school will be transmitted via an Arduino controller to the database. At the same time, this system sends a notification in the form of a WhatsApp message to the phone number of all the students’ parents. The system is a well-rounded approach to adequately manage the outing activities of students as each activity has to be registered beforehand with its implementation undergoing strict monitoring by the school authorities.
IMU sensor-based data glove for finger joint measurement Muhammad Ajwad Wa’ie Hazman; Ili Najaa Aimi Mohd Nordin; Faridah Hanim Mohd Noh; Nurulaqilla Khamis; M. R. M. Razif; Ahmad Athif Faudzi; Asyikin Sasha Mohd Hanif
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.pp82-88

Abstract

The methods used to quantify finger range of motion significantly influence how hand disability is reported. To date, the accuracy of sensors being utilized in data gloves from the literature has been ascertained yet need further analysis. This paper presents an inertial measurement unit sensor-based data glove for finger joint measurement developed for collecting a range of motion data of distal interphalangeal, proximal interphalangeal and metacarpophalangeal finger joints of an index finger. In this study, three inertial measurement sensors, MPU-6050 and two flexible bend sensors which are capable to detect angle displacement were attached to the distal interphalangeal, proximal interphalangeal and metacarpophalangeal finger joint points on the glove. The data taken from inertial measurement unit sensors and flexible bend sensors were acquired using Arduino and MATLAB software interface. The data obtained were compared with the reference data measured from goniometer to allow for accurate comparative measurement. The percentage of error resulted from MPU-6050 sensor unit were ranged from 0.81 % to 5.41 % were very low which indicates high accuracy when compared with the measurements obtained using goniometer. On the other hand, flexible bend sensor shows low accuracy (11.11 % to 19.35 % error). In conclusion, the inertial measurement unit sensor-based data glove using MPU-6050 sensors can be a reliable solution for tracking the progress of finger rehabilitation exercises. In order to motivate patients to adhere to the therapy exercises, interactive rehabilitation game will be developed in the future incorporating  MPU-6050 sensors on all five fingers.
A novel pooling layer based on gaussian function with wavelet transform Aqeel M. Hamad alhussainy; Ammar D. Jasim
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.pp1289-1298

Abstract

Convolution represent basic layer in the convolutional neural network, but it can result in big size of the data, which may increase the complexity of the network. Different pooling methods are used to perform down sample these data. In this paper, we have proposed a novel pooling method by using Gaussian function to determine the wavelet filter coefficients. At first, the basic statistics are determined for each pool size of the signal, then Gaussian probability distribution function is determined. According to the procedure of extracting the features, three methods are proposed, the first method is used the normalized values of basic statistics as wavelet filter to be multiplied by original signal, the second method used the determined statistics as features of the original signal, then multiplied it with constant wavelet filter based on Gaussian, while the third method is similar to first method, except it depend on entire signal instead of each pool size. The proposed methods are combined with other standard methods such as max and pooling. The experiments are performed on different datasets and the results show that the proposed methods perform or outperform other methods and can increase performance of the (CNN).
The impact of firewall on TCP and UDP throughput in an openflow software defined network Mutaz Hamed Hussien Khairi; Sharifah H. S. Ariffin; N. M. Abdul Latiff; Kamaludin Mohamad Yusof; M. K. Hassan; Mohammad Rava
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.pp256-263

Abstract

Software defined networking (SDN) is an emerging networking paradigm that provides more flexibility and adaptability in terms of network definition and control. However, SDN is a logically centralized technology. Therefor the control plane (i.e. controller) scalability in SDN in particular, is also one of the problems that needs further focus. OpenFlow is one of the protocol standards in SDN, which allow the separation of the controller from the forwarding plane. The control plane has an SDN embedded firewall and is able to enforce and monitor the network activity. This firewall can be used to control the throughput. However, it may affect SDN performance. In this paper, throughput will be used as a performance metric to evaluate and assess the firewall impact on two protocols; transmission control protocol (TCP) and user datagram protocol (UDP) that passes through the forwarding planes. The evaluations have been verified through simulating the SDN OpenFlow network using MININET. The results show that an implementation of firewall module in SDN creates a significant 36% average drop for TCP and 87% average drop for UDP in the bandwidth which eventually affect the quality of the network and applications.
Aging study of a lead-acid storage bank in a multi-source hybrid system El Mehdi Laadissi; Jaouad Khalfi; Fouad Belhora; Chouaib Ennawaoui; Abdessamad El Ballouti
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.pp1109-1117

Abstract

Autonomous and grid-connected systems play an important role in the massive integration of renewable energy sources necessary for the global development of a sustainable society. In this regard, the analysis of the behavior of electrochemical storage devices such as lead-acid batteries installed on hybrid energy systems and microgrids in terms of lifespan and economic profitability is an important research subject. The purpose of this article is to present a methodology for calculating the aging rate of a storage battery inserted in a hybrid multisource system. The approach consists in first knowing the solicitations of the battery during a year knowing at every moment its state of charge. This curve is obtained from a dynamic simulator taking into account the intermittences of the sources and the load. The second step is to determine the number of cycles and the depth of discharge of each from the stat of charge. Finally, based on the battery life characteristic given by the manufacturer (cycle number vs. discharge depth), the aging rate of the battery for one year of operation is determined.
IoT for health-based system: analog network coding with energy harvesting Dalal Abdulmohsin Hammood; Mahmoud Shuker Mahmoud; Ahmed Alkhayyat
Indonesian Journal of Electrical Engineering and Computer Science Vol 20, No 2: November 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v20.i2.pp822-829

Abstract

In the recent health-care field, the interent of health thigs (IoHT) technologies provide appropriateness between doctors and people receiving medical treatment, because they are useful to several curative domains. The wireless body sensors networks which can be abbrivated as every technology of a WBSN is an important one from IoT growing’s of the health-care model, as all sick people are observed utilizing some set of nodes of sensors that are light as well as with no high power. In this paper, we proposed energy harvesting-based inter-WBSN cooperation network coding (EH-IWCNC) for Internet of Medical Things.
Factors influencing low intension detection rate in a non-invasive EEG-based brain computer interface system Clifford Maswanganyi; Chungling Tu; Pius Owolawi; Shengzhi Du
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.pp167-175

Abstract

Motor imagery (MI) responses extracted from the brain in the form of EEG signals have been widely utilized for intention detection in brain computer interface (BCI) systems. However, due to the non-linearity and the non-stationarity of EEG signals, BCI systems suffer from low MI prediction rate with both known and unknown influncing factors. This paper investigates the impact of visual stimulus, feature dimensions and artifacts on MI task detection rate, towards improving MI prediction rate. Three EEG datasets were utilized to facilitate the investigation. Three filters (band-pass, notch and common average reference) and the independent component analysis (ICA) were applied on each datasets, to eliminate the impact of artifact. Three sets of features where extracted from artifact free ICA components, from which more relevant features were selected. Moreover, the selected feature subsets were incorporated into three classifiers, NB, Regression Tree and K-NN to predict four MI and hybrid tasks. K-NN classifier outperformed the other two classifies in each dataset. The highest classification accuracy is obtained in hybrid task EEG dataset. Moreover, accurately predicted EEG classes were applied to a robotic arm control.
Design and implementation of fast floating point units for FPGAs Mohammed Falih Hassan; Karime Farhood Hussein; Bahaa Al-Musawi
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.pp1480-1489

Abstract

Due to growth in demand for high-performance applications that require high numerical stability and accuracy, the need for floating-point FPGA has been increased. In this work, an open-source and efficient floating-point unit is implemented on a standard Xilinx Sparton-6 FPGA platform. The proposed design is described in a hierarchal way starting from functional block descriptions toward modules level design. Our implementation used minimal resources available on the targeting FPGA board, tested on Sparton-6 FPGA platform and verified on ModelSim. The open-source framework can be embedded or customized for low-cost FPGA devices that do not offer floating-point units.
Electrical breakdown and chemical properties of polypropylene/calcium carbonate nanocomposites A. Azmi; K. Y. Lau; N. A. Ahmad; Z. Abdul-Malek; C. W. Tan
Indonesian Journal of Electrical Engineering and Computer Science Vol 20, No 2: November 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v20.i2.pp563-568

Abstract

Calcium carbonate (CaCO3) is an inorganic material which has been introduced in polymeric insulation to improve the thermal and electrical properties of insulation. In this research, a comparative study was performed between unfilled polypropylene (PP) and PP nanocomposites containing 5 wt% of CaCO3 nanofiller. The electrical breakdown performances of unfilled PP and nanocomposites were investigated. The chemical content of the material was carried out using fourier transform infrared (FTIR) spectroscopy. The findings showed that the introduction of CaCO3 to the PP altered the chemical bonding of the material, where two additional characteristic absorption bands appeared in the FTIR spectra of PP/CaCO3 nanocomposites. In addition, PP/CaCO3 nanocomposites had slight changes on the AC breakdown strength compared to unfilled PP. Meanwhile, the DC breakdown performance of the nanocomposites was apparently lower than that of unfilled PP. These were attributed to the agglomeration of CaCO3. 
Design and implementation DVB-S & DVB-S2 systems Samir Jasim Mohammed; Zaid Saadi Hussein
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.pp1444-1452

Abstract

Digital video broadcasting plays an important role in most digital communication systems. Digital broadcasting systems are designed with great accuracy and delicate design which has a major role in our lives today especially digital video broadcasting. It is these systems that are considered to be the most advanced in transmission, reception and reliability. From these systems they develop through the digital video broadcasting project group.The most important are digital video broadcasting of terrestrial, digital video broadcasting of cable and digital video broadcasting of satellite because of that many user's desires to use communications and entertainment in their lives there are new and demanding situations that the standards of these systems can only meet for their own applications .In this paper, it will design and implement the digital video broadcasting of satellite first generation and digital video broadcasting of satellite second generation of binary data,image and audio using Matlab-Simulink environment.In addition, will calculate the bit error rate of the signal. This system is designed with precision to improve performance errors and increase transmission capacity as well as provide a safe environment for information.

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