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The analysis of facial feature deformation using optical flow algorithm
Dayang Nur Zulhijah Awang Jesemi;
Hamimah Ujir;
Irwandi Hipiny;
Sarah Flora Samson Juan
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 2: August 2019
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v15.i2.pp769-777
Facial features deformed according to the intended facial expression. Specific facial features are associated with specific facial expression, i.e. happy means the deformation of mouth. This paper presents the study of facial feature deformation for each facial expression by using an optical flow algorithm and segmented into three different regions of interest. The deformation of facial features shows the relation between facial the and facial expression. Based on the experiments, the deformations of eye and mouth are significant in all expressions except happy. For happy expression, cheeks and mouths are the significant regions. This work also suggests that different facial features' intensity varies in the way that they contribute to the recognition of the different facial expression intensity. The maximum magnitude across all expressions is shown by the mouth for surprise expression which is 9x10-4. While the minimum magnitude is shown by the mouth for angry expression which is 0.4x10-4.
Electricity theft detection framework based on universal prediction algorithm
Abdulrahaman Okino Otuoze;
Mohd Wazir Mustafa;
Ibim Ebianga Sofimieari;
Abdulhakeem Mohd Dobi;
Aliyu Hamza Sule;
Abiodun Emmanuel Abioye;
Muhammad Salman Saeed
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 2: August 2019
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v15.i2.pp758-768
Electricity theft has caused huge losses over the globe and the trend of its perpetuation constantly evolve even as smart technologies such as smart meters are being deployed. Although the smart meters have come under some attacks, they provide sufficient data which can be analysed by an intelligent strategy for effective monitoring and detection of compromised situations. So many techniques have been employed but satisfactory result is yet to be obtained for a real-time detection of this electrical fraud. This work suggests a framework based on Universal Anomaly Detection (UAD) utilizing Lempel-Ziv universal compression algorithm, aimed at achieving a real-time detection in a smart grid environment. A number of the network parameters can be monitored to detect anomalies, but this framework monitors the energy consumption data, rate of change of the energy consumption data, its date stamp and time signatures. To classify the data based on normal and abnormal behaviour, Lempel-Ziv algorithm is used to assign probability of occurrence to the compressed data of the monitored parameters. This framework can learn normal behaviours of smart meter data and give alerts during any detected anomaly based on deviation from this probability. A forced aggressivemeasure is also suggested in the framework as means of applying fines to fraudulent customers.
Optimal capacitor placement in a distribution system using ETAP software
M. J. Tahir;
Badri. A. Bakar;
M. Alam;
M. S. Mazlihum
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 2: August 2019
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v15.i2.pp650-660
Mostly loads are inductive in nature in content of distribution side for any power system. Due to which system faces high power losses, voltage drop and reduction in system power factor. Capacitor placement is a common method to improve these factors. To maximize the reduction of inductive load impact, optimal capacitor placement (OCP) is necessary with the objective function of system cost minimization for voltage profile enhancement, power factor improvement and power losses minimization. As OCP is a non-linear problem with equality and inequality limitations, so the stated objective depends upon he placement and sizes of the capacitor banks. Electrical transient analyzer program (ETAP) software is used for the evaluation and modelling the power systems and genetic algorithm (GA) is used as an optimization technique for the minimization of the objective function. In this paper, to show the effectiveness of the technique IEEE 4bus,33bus system and NTDC 220KV real time grid system is modelled and evaluated in terms of objective minimization i-e maximum cost saving of the power system
Heterogeneous modelling framework for 5G urban macro ultra dense networks
Fayad Ghawbar;
Faiz A. Saparudin;
Jumadi A. S.;
Aimi S. A. Ghafar;
N. Katiran
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 2: August 2019
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v15.i2.pp962-970
The explosive growth of mobile devices is the main engine to continue evolution in the communications field. The amount of traffic generated by today’s users in applications such as high definition videos, cloud computing, and wearable devices, require a drastic change in mobile telecommunications. 5G Ultra Dense Network (UDN) is one of the key components leading in achieving the high capacity for all users. In UDN, the number of base stations or access nodes equals or exceeds the number of active users by unit area. In this paper, different modeling techniques of UDN are studied. Moreover, a heterogeneous framework modeling was proposed. This framework illustrated a system model for UDN based on Urban Macro (UMa) Scenario. The distance dependent path loss model for UMa was presented and analyzed. The Simulation results of path loss model indicated an increase in the path loss with increasing the distance range from 10m to 500m. The received power simulation results of User Terminal (UT) displayed the power is approaching zero when the distance between the BS and UT goes beyond 250m. Therefore, it is assumed that UTs located 250m away from the BS can reuse the subchannel of AN in another sector with negligible interference.
Size miniaturization of chipless RFID tag using metamaterial structure
Mohd Ezwan B. Jalil;
Mohamad Kamal A. Rahim;
Osman B. Ayop;
Noor Asmawati Samsuri
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 2: August 2019
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v15.i2.pp723-732
A Chipless RFID based Modified Complementary Split Ring Resonator (MCSRR) with Different Width (DW) which is metamaterial structure is designed using PET substrate ( =3, loss tangent = 0.025 at 2 GHz) to miniaturize effective length size of conventional split ring resonator. The MCSRR structure with DW provides less size about 17% compared with the conventional MCSRR structure. The single MCSRR resonator with different width only requires a frequency range of 12 % of Complementary Split Ring Resonator (CSRR) resonator. The slotted MCSRR resonator is located underneath substrate and within substrate is connected with transmission lines. The insertion loss value of MCSRR resonator is used to encode ID information of chipless RFID with maximizing ID information using Frequency Position technique. The best swapping parameter for encoding ID number information is split gap of both ring compare with other parameter such as spacing between ring and width of ring.
Portable health monitoring kit using photolethysmogram signal
N. F. A. Jamal;
K. A. Sidek
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 2: August 2019
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v15.i2.pp638-649
This study investigates the feasibility of photoplethysmogram (PPG) signals in monitoring health condition and designing a portable health monitoring kit which is suitable for home use. The aim of this study is to ease people in monitoring their health continuously without the need to go to the hospital which can save a lot of time. The focus of this study is to find heart rate and blood pressure recording. The type of PPG sensor used in this project is a non-invasive PPG which measures the blood volume changes in any part of the body. A total of 16 subjects consisting of male and female with age range of 20 to 60 years old were involved in this research. The heart rate and blood pressure for each subject were acquired and analyzed. Based on the result, it shows that higher heart rate reading is associated with female and younger age groups. Meanwhile, for blood pressure value, male subjects tend to have higher blood pressure as compared to female subjects. However, there is no specific pattern for blood pressure in terms of the age group. In the case of HRV analysis based on Kubios software, the SDNN value is higher for male and older age subjects. Meanwhile, the RMSSD value is lower for male and older age subjects. Therefore, PPG signal has the capability to monitor the health status of an individual, which acts as an alternative biological signal for the existing health monitoring systems.
A comparative analysis of the tracking angles and fixed angle systems during sunny and cloudy days under Iraqi conditions
Talib Sabah Hussein;
Kadhim Nasir Fadhil;
Zaid H. Al-Tameemi
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 2: August 2019
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v15.i2.pp565-570
This paper describes design tow systems tracking angles and fixed angle solar panel to improve the performance of solar energy, during the sunny and cloudy days. Depending on the development of the solar tracking system and amount of solar energy captured by the solar panel per day actually, the project is designed with AT 89552 MC depending upon the light falls on (LDR), data will be reading by AT 89552 MC. and changing the direction of a motor in this direction the solar panel will be moving to capture the maximum of solar energy. The tracking angle solar panel has been efficient than a fixed angle. The results show that the tracking angle solar panel has been more efficient than a fixed angle in sunny and cloudy days in morning and afternoon. The tracking angles system generating higher power than the fixed angle system in a morning. The maximum power occurred during the tracking angles system and fixed angle system in the morning, due to drop efficiency of the panels they get heated during the afternoon.
Automated library booktruck for traditional libraries
JJ Spies;
B Kotze
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 2: August 2019
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v15.i2.pp1095-1101
Libraries are an integral part of our society’s knowledge repository and even though technological advances such as the internet, smart devices and an ‘always-connected-society’, provide avenues for fast and almost instantaneous access to knowledge, libraries still provide a physical place for the collection and dissemination of knowledge. The prompt shelving of the physical returned library books is an important task in any traditional library. To help speed up the shelving process, this paper proposed and simulated an automated booktruck that is capable of moving returned library books from the return desk back to the shelves. The simulation models currently available robotic hardware and implemented path finding and localization. The simulation results showed that returned books can be delivered to the shelves four times faster than the by using the current practices.
Constructing population of initial university timetable: design and analysis
Juliana Wahid;
Syariza Abdul-Rahman;
Aniza Mohamed Din;
Naimah Mohd-Hussin
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 2: August 2019
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v15.i2.pp1109-1118
The construction of population of initial timetable is an essential stage in population-based metaheuristic approach for solving curriculum-based university course timetabling problem because it may impact the quality of the final timetable. This paper presents population of initial timetable construction approach in curriculum based course timetabling problem by using the graph heuristics to determine the sequential order of courses/lectures to be assigned in the timetable. The graph heuristics were implemented as single and combination of two heuristics. The courses in curriculum-based university course timetabling problem that was organized based on the heuristics setting will be repeatedly assigned to valid empty slots while fulfilling all the hard constraints. If a course is unable to be assigned to whichever slots because of no more valid empty slots, it will be inserted into the unscheduled courses/lectures list. The unscheduled courses/lectures list will be assigned later to the timetable using several procedures executed in a sequence. The approaches were tested on the ITC2007 instances and the results were analyzed with some statistical tests to determine the best setting of heuristics in the construction approach. The result shows that the construction approach with combination of largest degree followed by saturation degree heuristic, generate the maximum number of population of initial timetables. The result from this study can be used in the improvement stage of metaheuristic algorithm that uses population-based approach.
Video spam comment features selection using machine learning techniques
Nabilah Alias;
Cik Feresa Mohd Foozy;
Sofia Najwa Ramli;
Naqliyah Zainuddin
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 2: August 2019
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v15.i2.pp1046-1053
Nowadays, social media (e.g., YouTube and Facebook) provides connection and interaction between people by posting comments or videos. In fact, comments are a part of contents in a website that can attract spammer to spreading phishing, malware or advertising. Due to existing malicious users that can spread malware or phishing in the comments, this work proposes a technique used for video sharing spam comments feature detection. The first phase of the methodology used in this work is dataset collection. For this experiment, a dataset from UCI Machine Learning repository is used. In the next phase, the development of framework and experimentation. The dataset will be pre-processed using tokenization and lemmatization process. After that, the features to detect spam is selected and the experiments for classification were performed by using six classifiers which are Random Tree, Random Forest, Naïve Bayes, KStar, Decision Table, and Decision Stump. The result shows the highest accuracy is 90.57% and the lowest was 58.86%.