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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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Internet of Things Application in Monitoring Sick Building Syndrome Keshihakumar Kalaithasan; N. A. M. Radzi; H. Z. Abidin
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 2: November 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i2.pp505-512

Abstract

Sick Building Syndrome (SBS) is a health condition whereby a patient is presented with either vague temporary symptoms such as fatigue, aches and sensitivity to odour or more significant temporary symptoms such as itchy eyes, skin rashes and nasal allergy when they are in a building. Numerous factors have been associated with SBS, but the lack of an accurate diagnosis for these symptoms make treatment more difficult, as risk of treating the patient with wrong diagnosis is relative when the cause root is not known. Thus, taking a preventive approach is a more viable solution to the problem. In this paper, a simple, mobile and cost efficient Internet of Things (IoT) based SBS system is proposed. The system is built using Raspberry Pi minicomputer that would then be integrated with an IoT middleware. The middleware would enable the user to monitor parameters that are to be tested; which are temperature, humidity, light, sound and dust. Three IoT middleware are used to evaluate which one works best for the SBS system proposed. The combination of recorded sensor data would then be used to determine whether or not the building is causing SBS to the occupant. The studies show that FavorIoT platform is the most suitable IoT platform to be used with the SBS system and the system has successfully identified whether or not a building is causing SBS.
An Adaptive Controller for Photovoltaic Emulator using Artificial Neural Network Razman Ayop; Chee Wei Tan
Indonesian Journal of Electrical Engineering and Computer Science Vol 5, No 3: March 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v5.i3.pp556-563

Abstract

The photovoltaic (PV) emulator is a nonlinear power supply that features the similar characteristic of the PV module. However, the nonlinear characteristic of the PV module causes instability of the PV emulator output. The conventional solution is to operate the PV emulator in the overdamped condition which results in a poor dynamic performance. This drawback is solved by manipulating the proportional and integral gains of the proportional-integral (PI) controller. In this paper, the artificial neural network is used in the adaptive PI controller to maintain a stable and fast dynamic response of the PV emulator. This has been simulated with varied output resistance and irradiance. By comparing the proposed control strategy with the conventional method during start-up response of the photovoltaic emulator, the dynamic performance of the output current has shown an improvement of up to 80 % faster than the conventional method.
Detection of foreign objects in milk using an ultrasonic system Mohd Taufiq Mohd Khairi; Sallehuddin Ibrahim; Mohd Amri Md Yunus; Ahmad Ridhwan Wahap
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 3: September 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v15.i3.pp1241-1249

Abstract

This paper presents the utilization of an ultrasonic sensing system to detect foreign objects in milk. The advantage of an ultrasonic system is that it is low cost and it can detect a wide range of materials. A foreign body is any contaminated object found in food. Because of the scale of multifarious food processing levels and distribution, the utilization of the food product are sometimes difficult to control, which will inevitably lead to some complaints by consumers. Milk is widely consumed in the world as it is considered as a healthy drink due to it is high nutrients levels. However, from time to time cases of milk contamination are reported. In this paper. the relationship between the foreign bodies in terms of their dimensions and the resultant amplitude are presented. Mathematical modelling were carried out based on two ultrasonic parameters i.e. acoustic impedance and wave amplitude utilizing several types of foreign bodies with different dimensions. Three types of foreign bodies which are steel, rubber and air were investigated to determine the voltage amplitude detected by the ultrasonic receiver when the foreign bodies obstructed the ultrasonic wave propagation path. The diameters of foreign bodies were in the range from 4 mm to 11 mm. The results showed good correlations between the receiver voltage and the size of foreign bodies with correlation coefficients greater than 0.95. Each foreign body also demonstrated different voltage amplitudes when several sizes of the foreign bodies were tested which showed the ability of the system to distinguish the size of each foreign body.
Study of Construction Vehicles Automatic Transmission Wear Degree Based on Spectroscopic Technology Lidan Chen
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 4: August 2012
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Flame atomic absorption spectrometry (FAAS) was adopted to detect the construction vehicles automatic transmission through simultaneous determination of typical metal elements contents (Copper, Chromium and Iron) in automatic transmission fluid (ATF). Standard curves of Copper, Chromium and Iron were portrayed. Six parallel tests were implemented and the relative standard deviations (RSD) were 2.59%, 2.89% and 2.71% for Copper, Chromium and Iron separately. Additionally, under the same test conditions and analysis methods, contents of Copper, Chromium and Iron in different mileages of construction vehicles automatic transmission were tested. Analysis showed that, with the increase of mileage, the wear degree of construction vehicles automatic transmission increased and the contents of Copper, Chromium and Iron in ATF were also increased follow specific functions for each element under certain driving condition, and the correlation coefficients R were 0.9994, 0.9993 and 0.9997 correspondingly. Finally, results illustrated that FAAS could serve as the rapid and non-destructive method to determine the contents of Copper, Chromium and Iron, and further to achieve the goal of examining the conditions of the major components of automatic transmission. DOI: http://dx.doi.org/10.11591/telkomnika.v10i4.853
Ear Recognition Based on Forstner and SIFT Ma Chi; Zhu Yongyong; Tian Ying
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 12: December 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Extraction and expression of features are critical to improving the recognition rate of ear image recognition. This paper proposes a new ear recognition method based on SIFT (Scale-invariant feature transform) and Forstner corner detection technology. Firstly, Forstner corner points and SIFT keypoints are detected respectively. Then taking Forstner corner into the SIFT algorithm to calculate their descriptor as the image feature vectors. Finally ear recognition based on these feature is carried out with Euclidean distance as similarity measurement. A bi-directional matching algorithm is utilized for improving recognition rate. Experiments on USTB database show that the recognition rate reaches more 94%. The Experimental results prove the effectiveness of the proposed method in term of recognition accuracy in comparison with previous methods. It is robust to rigid changes of ear image and provides a new approach to the research for ear recognition. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.2760
Application Research of Cloud-based Education Network Platform Hui Zhou; Hong Zeng; Shigang Qín
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 5: May 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Cloud Computing is a new application model for decentralized computing which can provide reliable，customized and maximum number of users with minimum resource. The development of cloud computing marks a great leap towards designing a unified，open and flexible educational information platform，sharing educational resources，and diminishing gaps in the use of educational information. This paper introduces the concept，characteristics of cloud computing，and discusses the framework of cloud-computing-based education platform，then take World University City for example，and discuss the significant advantages in the education information platform，which is brought by the technology of cloud computing. DOI : http://dx.doi.org/10.11591/telkomnika.v12i5.4382
A Monolithic 0.18μm 4GHz CMOS Frequency Synthesizer Wu Xiushan; Huan Changhong; Lv Wei; Hu Ming; Li Qing
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 2: February 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

A 4 GHz PLL (phase-locked loop)-type frequency synthesizer has been implemented in the standard 0.18μm mixed-signal and RF 1P6M CMOS technology. It integrates a VCO, a dual-modulus prescaler, PFD, a charge pump, a control logic, various digital counters and digital registers onto a single chip. With the help of the linear model of the loop, the design and optimization of the loop parameters are discussed in detailed. The measured results show that the locked range was 4096-4288 MHz and the phase noise could reach -117 dBc/Hz at 1MHz offset from the carrier 4.154 GHz, the output power is about -3 dBm. The chip area is 0.675 mm×0.700 mm. The DC power consumption of the core part is about 24 mW under 1.8 V supply. DOI: http://dx.doi.org/10.11591/telkomnika.v11i2.2003
Efficient and Secure Resource Allocation and Data Forwarding in Cellular Network Sudha Mishra; A Arivazhagan
Indonesian Journal of Electrical Engineering and Computer Science Vol 9, No 2: February 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v9.i2.pp267-268

Abstract

Data sharing in networks are now days a challenging one where the source is sending a file to destination, major problem is interference. Once the router is set to search for a path takes too time for identifying a better path to transmit data. The performance is affected due to the time delay of searching path and the interference cause data loss or interruption of transmission. We proposed an overlay router which search better path in short period of time with the help of BJP router. When a sender sends the data, the overlay router contact with BJP router to analyze existing path used to transmit. To ensure a better path and low travelling time will be an efficient way to share the data between source and destination without any interference, low performance and time delay. BJP searches the existing routes that will be low processing time to forward the data sent by the source and received on time by the destination. Whenever a data is been shared between these two: source and destination, overlaying protocol is user to find the shortest path among the existing path search. By using overlay router and BJP router the performance is increased, avoid interference, path identification is solved within short time and provide a better solution for the current environment.
Interlaboratory data fusion repository system (InDFuRS) for tocotrienols-based treatment Norhaslinda Kamaruddin; Abdul Wahab
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.pp1130-1135

Abstract

Tocotrienols and tocopherols are part of the vitamin E family and have shown to produce lots of benefits especially in health supplement product. Both tocotrienols and tocopherols exist in an edible oil but varies in their ratio. It is also observed that percentage of tocopherols is higher than tocotrienols in most of our diet. Recent researches have found that tocotrienols seems to have more benefit to health especially for delaying neuro-degeneration and this has led researchers to investigate tocotrienols rich fraction (TRF) from palm kernel oil. To date, the tocotrienols extraction process is still work in progress. Hence, it is imperative that all information and results from the various laboratories experiments to be made available thus data analysis can be optimized for optimal tocotrinols production. Data acquisition from inter-laboratory experiments are valuable for collaborative researches. Efforts from multiple sources need to be combined to make it accessible for data integration. The sources of fused data can be employed as secondary back up once the data is migrated to a central repository. Traditionally data has been residing in silos across organization. Such scenario posed as a major problem especially when there are insufficient human and computational resources to manage such data. In addition, longitudinal data collections always suffer from mismanagement of the data where the data are not labeled properly using mismatched data formatting resulting to poor data readability. Therefore, a repository to facilitate data fusion using a systematic cloud-based system is proposed to ensure the data are accessible with maintained data uniformity and format and yet the security of the data is ensured as well as cost effective and fault tolerant. It is envisaged a better solution can be identified to minimize repetition of experiments and looking towards at advancement of extraction processes.
Research on Iris Recognition Method Based on Quantum Algorithms Hui Li; Suyan Zhang; Zhanzhan Zhang
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 9: September 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i9.pp6846-6851

Abstract

Traditional iris recognition method has low speed and searching rate in large-scale unstructured database. Three different quantum algorithms are proposed in iris recognition. Quantum filtering algorithm can get a better filtering result than classical algorithm in iris filtering process. Quantum Fourier transforms exhibits an exponential speed-up compared with discrete Fourier transform in feature extraction. Improved Grover algorithm can reduce the matching time in the step of iris matching. The experiment results show that matching numbers and matching time reduce greatly.

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