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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
 528   529   530   531   532 
A Real Time Vein Detection System Kazi Istiaque Ahmed; Mohamed Hadi Habaebi; Md Rafiqul Islam
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 1: April 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v10.i1.pp129-137

Abstract

Blood veins detection process can be cumbersome for nurses and medical practioners when it comes to special overweight type of patients.This simple routine procedure can lead the process into an extreme calamity for these patients. In this paper, we emphasized on a process for the detection of the vein in real time using the consecrations of Matlab to prevent or at least reduce the number of inescapable calamity for patients during the infusion of a needle by phlebotomy or doctor in everyday lives. Hemoglobin of the blood tissues engrossed the Near Infrared (NIR) illuminated light and Night vision camera is used to capture the scene and enhance the vein pattern clearly using Contrast Limited Adaptive Histogram Equalization (CLAHE) method. This simple approach can successfully also lead to localizing bleeding spots, clots from stroke …etc among other things.
Implementation of Voltage Optimization for Sustainable Energy Jian Ding Tan; Siaw Paw Koh; Mau Teng Au; Sieh Kiong Tiong; Kharudin Ali
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 1: October 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i1.pp341-347

Abstract

The voltage control in the power distribution network is challenged firstly by constantly increasing in power demand and secondly by a growing number of distributed connections, which significantly changes the load flow in the network. Situation is worsening with the current heavily implemented micro-generation of Solar PV. Consequently, the uncontrollable rapid changes in the power distribution network would affect voltage instability at the feeder with wide area power demand. Voltage instability would affect the energy efficiency of the electrical equipment. Moreover, the lifespan of some equipment would be shortened due to the excessive and unstable voltage supplied. The proposed research aims to implement the low impedance voltage optimization system in solving the existing problem. The voltage optimization system had been tested on both resistive and inductive loads. The power consumption of the loads had been measured at a few discrete values of voltage optimization within the statutory region. Further tests were conducted on industrial water pump, general lightings with mixed loads, office building, restaurant and plastic injection moulding machine. The power measurements were logged and the results in term of power consumption were analysed. The results showed that the proposed optimization mechanism successfully optimize and saved 6.81%, 14.42%, 13.97%, 12.23%, and 26.23% of the power consumptions in respective tests.
Innovations into industrial technology programmes of Nigerian Universities for effective application of mobile communication technologies and quality assurance of graduates Jimoh Bakare; Hyginus Osita Omeje; Samson Oluwatimilehin; Samson Ikenna Nwaodo; Obe Pauline Ijeoma; Olusesan Johnson Ogunmilade; Ojo Ajiboye Olaoye
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.pp1315-1324

Abstract

The study innovated the industrial technology programmes of Nigerian Universities for effective application of mobile communication technologies and quality assurance of graduates. Five research questions guided the study while three null hypotheses formulated were tested at .05 level of significance. The study made use of descriptive survey design and was carried out in Enugu State, Nigeria.nThe participants for the study were 120 comprising of 67 lecturers ofmelectrical/electronic technology and 53 technologists of industrial technical education. A 97-item questionnaire was used as instrument for data collection. One hundred and eighteen copies of the questionnaire were retrieved. The data collected were analyzed using mean, factor analysis, standard deviation and improvement need index (INI) to answer the four research questions while analysis of variance was employed to test the hypotheses at .05 level of significance. Results revealed that 33 innovations for inclusion into programme of electrical/electronic technology. Furthermore, the results of the study revealed that teachers need improvement in implementing the innovated contents of electrical/electronic technology aspect of industrial technical education programme. Hence, there is need to package the findings of the study into training programme and use it for building the capacity of teachers of electrical/electronic technology in Nigerian universities.
Radiation Pattern Performance of Unequally Linear Arrays with Parasitic Element Noor Ainniesafina Zainal; Muhammad Ramlee Kamarudin; Yoshihide Yamada; Norhudah Seman
Indonesian Journal of Electrical Engineering and Computer Science Vol 6, No 1: April 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v6.i1.pp110-115

Abstract

For next generation of 5G mobile base station antennas, multibeam, multifrequency and low sidelobe characteristics requested. Simplify the feeding network will contribute a low feeder loss and frequency dependent. From the previous research by the author, low sidelobe level reported by density tapered array configuration from -13 dB to -16 dB and the result maintained for wideband operation frequency at 28 GHz, 42 GHz, and 56 GHz. However, the grating lobe has occurred due to element spacing larger than a wavelength of higher frequency (56 GHz). In this paper, an investigation was made of the performance of radiation pattern for unequally microstrip linear array antenna in frequency 42 GHz and 56 GHz by loading parasitic elements. The effect of parasitic element to the impedance, gain, and sidelobe level of unequally microstrip linear spaced tapered array also examined. The design has been simulated using Ansoft High Frequency Structural Simulator (HFSS) ver 16.0.
Chaos Based Image Encryption Suresh. G. B; V. Mathivanan
Indonesian Journal of Electrical Engineering and Computer Science Vol 9, No 1: January 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v9.i1.pp97-100

Abstract

New method of secure image encryption and decryption scheme based on the chaos is proposed. There are two steps are followed after the preprocessing step in the proposed system namely, Encryption and Decryption. In preprocessing, images are denoised using median filter. Then the original input images will be encrypted by using the chaos mapping algorithm. At last the original images are retrieved back from the encrypted image by using the key that is specified during the encryption process for the decryption of the original images. Then the histogram mapping is done for the encrypted and the decrypted images. The proposed system is tested on well-known images like Lena, Mandrill, Clown and Barbara. The experimental results have demonstrated that the introduced image encryption scheme can achieve high security for practical image encryption.
Design and simulation of a combined serpentine t-shape magnetorheological brake Faishal Harish Hidayatullah; Ubaidillah Ubaidillah; Endra Dwi Purnomo; Dominicus Danardono Dwi Prija Tjahjana; Ilham Bagus Wiranto
Indonesian Journal of Electrical Engineering and Computer Science Vol 13, No 3: March 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v13.i3.pp1221-1227

Abstract

A magnetorheological brake (MRB) is a device to dissipate rotational energy using magnetorheological fluids (MRF). MRB can change its braking torque quickly in response to external magnetic field strength. The brake is rotational, utilizing the MRF in shear mode. In this study, the geometrical design of the MRB, magnetic circuit and MRF flow path is addressed. Mathematical models are presented that describe the braking torque of the MRB. A novel prototype is introduced combining T-shape rotor model with serpentine flux magnetic circuit configuration. The rotor member is selected to direct the flux concentration at that location. Serpentine flux configuration is selected to achieve higher torque without increasing the size of MRB by activated more surface area of MRF with the magnetic flux. The finite element method is used to evaluate the magnetic flux density in MRB using FEMM 4.2. FEMM results showed that this novel design could provide sufficient magnetic flux along MRF flow path. Finally, the influence of input current to the MRB on braking torque is investigated. It is found that the braking torque in MRB increases with the increase of the input current. The prototype is formulated as foot-drop prevention orthotic. The MRB would be further integrated into ankle-foot orthoses for post-stroke patients. The design is formulated as a preliminary geometrical design, aiming to obtain the minimum required braking torque.
Performance Evaluation of A Multi-Sensor System Using Fixed Point DSP For Water Leak Detection Loutfi Benyettou
Indonesian Journal of Electrical Engineering and Computer Science Vol 4, No 3: December 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v4.i3.pp555-560

Abstract

DSPs (Digital Processors Signal) are processors specifically designed for digital signals processing. The fixed-point DSPs are processors operating in integer arithmetic whose characteristics are often limited but not less powerful with respect to floating-point DSPs. In this article, it is a question of checking the performances provided by the fixed-point DSP, the TMS320C541. This one is used in a detection and remote locating system ensuring a control of water leaks on the pipes. The acoustic correlation technique used as means of detection of these leaks represents the key element of the suggested system. In fact the DSP which deals the acquisition and processing of the signals emanating from the leaks. The had aim consists in initially to confirm the choice of such a processor for such an application. A simulation study to evaluate its performances as regards of computational accuracy and computing speed is carried out. A floating-point DSP of last generation, more accurate and faster, taken as reference element, is used for this purpose.
E-Referral System Modeling Using Fuzzy Multiple-Criteria Decision Making Gandung Triyono; Sri Hartati; Reza Pulungan; Lutfan Lazuardi
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 2: August 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v11.i2.pp475-486

Abstract

Currently, the quality of health services in Indonesia is getting better. However, the referral system still has some problems. The first is the difficulty in determining the referral hospital by the condition of the patient. The second is the different parameters used to determine the referral hospitals between countries. Based on those problems, it is necessary to improve the ability of the current referral system. This study developed a reference system model for assessing the suitability of the patient's background with the referral hospital. Some of the methods used are restful on web service technologies for information exchange between primary health care doctors and referral hospitals, Fuzzy Multiple-Criteria Decision Making (FMCDM) to determine the ranking of referral hospitals that fit the patient's background. The result of this study is an intelligent system model to get the referral hospital that fit the patient's background.
Towards IR4.0 implementation in e-manufacturing: artificial intelligence application in steel plate fault detection Adeleke Abdullahi; Noor Azah Samsudin; Mohd Rasidi Ibrahim; Muhammad Syariff Aripin; Shamsul Kamal Ahmad Khalid; Zulaiha Ali Othman
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.pp430-436

Abstract

Fault detection is the task of discovering patterns of a certain fault in industrial manufacturing. Early detection of fault is an essential task in industrial manufacturing. Traditionally, faults are detected by human experts. However, this method suffers from cost and time. In this era of Industrial revolution IR 4.0, machine learning (ML) methods and techniques are developed to solve fault detection problem. In this study, three standard ML models: LR, NB, and SVM are developed for the classification problem. The experimental dataset used in this study consists of steel plates faults. The dataset is retrieved from UCI machine learning repository. Three standard evaluation methods: accuracy, precision, and recall are validated on the classification models. Logistic regression (LR) model achieved the highest accuracy and precision scores of 94.5% and 0.756 respectively. In addition, the SVM model had the highest recall score of 0.317. The results showed the significant impact of AI/ML approach in steel plates fault diagnosis problem. 
Shape analysis for classification of breast nodules on digital ultrasound images Hanung Adi Nugroho; Hesti Khuzaimah Nurul Yusufiyah; Teguh Bharata Adji; Widhia K.Z Oktoeberza
Indonesian Journal of Electrical Engineering and Computer Science Vol 13, No 2: February 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v13.i2.pp837-844

Abstract

One of the imaging modalities for early detection of breast cancer malignancy is ultrasonography (USG).  The malignancy can be analysed from the characteristic of nodule shape.  This study aims to develop a method for classifying the shape of breast nodule into two classes, namely regular and irregular classes.  The input image is pre-processed by using the combination of adaptive median filter and speckle reduction bilateral filtering (SRBF) to reduce speckle noises and to eliminate the image label.  Afterwards, the filtered image is segmented based on active contour followed by feature extraction process.  Nine extracted features, i.e. roundness, slimness and seven features of invariant moments, are used to classify nodule shape using multi-layer perceptron (MLP).  The performance of the proposed method is evaluated using 105 breast nodule images which comprise of 57 regular and 48 irregular nodule images.  The results of classification process achieve the level of accuracy, sensitivity and specificity at 96.20%, 97.90% and 94.70%, respectively.  These results indicate that the proposed method successfully classifies the breast nodule images based on shape analysis.

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