Articles
9,226 Documents
Parallelizing Multi-featured Content Based Search and Retrieval of Videos through High Performance Computing
Azra Nasreen;
Shobha G
Indonesian Journal of Electrical Engineering and Computer Science Vol 5, No 1: January 2017
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v5.i1.pp214-219
Video Retrieval is an important technology that helps to design video search engines and allow users to browse and retrieve videos of interest from huge databases. Though, there are many existing techniques to search and retrieve videos based on spatial and temporal features but are unable to perform well resulting in high ranking of irrelevant videos leading to poor user satisfaction. In this paper an efficient multi-featured method for matching and extraction is proposed in parallel paradigm to retrieve videos accurately and quickly from the collection. Proposed system is tested on datasets that contains various categories of videos of varying length such as traffic, sports, nature etc. Experimental results show that around 80% of accuracy is achieved in searching and retrieving video. Through the use of high performance computing, the parallel execution performs 5 times faster in locating and retrieving videos of intrest than the sequential execution.
An Effective Pre-Processing Phase for Gene Expression Classification
Choon Sen Seah;
Shahreen Kasim;
Mohd Farhan Md Fudzee;
Mohd Saberi Mohamad;
Rd Rohmat Saedudin;
Rohayanti Hassan;
Mohd Arfian Ismail;
Rodziah Atan
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 3: September 2018
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v11.i3.pp1223-1227
A raw dataset prepared by researchers comes with a lot of information. Whether the information is usefull or not, completely depends on the requirement and purposes. In machine learning, data pre-processing is the very initial stage. It is a must to make sure the dataset is totally suitable for the requirement. In significant directed random walk (sDRW), there are three steps in data pre-processing stage. First, we remove unwanted attributes, missing value and proper arrangement, followed by normalization of the expression value and lastly, filtering method is applied. The first two steps are completed by Bioconductor package while the last step is works in sDRW.
Phenomenological model of information operation in social networking services
Kateryna Molodetska;
Yuriy Tymonin;
Oleksandr Markovets;
Andrii Melnychyn
Indonesian Journal of Electrical Engineering and Computer Science Vol 19, No 2: August 2020
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v19.i2.pp1078-1087
In modern conditions, social networking services have become the users’ leading channel of communication, which are called actors. Therefore, social networking services are used by intruders to gain benefits in the information space of virtual communities for further influence on political and social processes in the state. In the article the phenomenological model of information operation in social networking services is developed. The model allows to take into account the processes of development of social networking services through the formation of new relationships between actors and the formation of virtual communities. At the same time, behind the model are the processes of degradation of social networking services that are associated with the dissipation of content. The developed model is used for experimental research of real information operation in social networking services. The obtained results will increase the efficiency and effectiveness of counteracting the threats to information security of the state in social networking services by the relevant departments.
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.
Combination of Ant Colony Optimization with Local Triangular Kernel Clustering for Vehicle Routing Problem with Time Windows
Aina Musdholifah;
Rahman Indra Kesuma
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 2: November 2015
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v16.i2.pp355-362
VRP is a common problem that occurred in logistics, including determination a route of products from the source to the destination. VRPTW is variation of VRP that use routing concepts in the serving process at the certain time interval. Recently, many methods are used to solve this optimization problem, for example ACO. LTKC-ACO was developed to improve the ACO solutions that apply LTKC to obtain a number of classes that are considered as the candidate list in ACO. Local Search is also used to avoid ACO getting stuck in the local optimum. In this study, two types of LTKC-ACO are developed that’s related to time windows parameter usage in clustering. The experimental result of 56 Solomon’s datasets showed that LTKC-ACO can improve the ACO solutions on 73,21% of datasets and can out performed then the other methods, especially on the datasets that have longer scheduling of service time.
Research on the Algorithm about Optical Fiber Parameters Measurement
Chen Xiao-rong;
Cong Yuan;
Xi Chuan-li
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 11: November 2013
Publisher : Institute of Advanced Engineering and Science
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We can measure the geometry parameters of the optical fiber efficiently and intelligently for the use of machine vision technology, the main operations contain threshold segmentation, removing interference, filtering, fitting etc. Compared with the traditional optical fiber measurement algorithm, this method has the advantages of high processing speed, high accuracy and not too relying on the operation level. It can also be applied to the size measurement of other small linear object. DOI: http://dx.doi.org/10.11591/telkomnika.v11i11.3517
A Coarse-to-Fine Human Body Segmentation Method in Video
Yingna Deng;
Wenqing Wang
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 5: May 2014
Publisher : Institute of Advanced Engineering and Science
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Human body precise segmentation is difficult because of inter-occlusion when there are multiple human bodies in video. A coarse-to-fine segmentation method is proposed. In coarse segmentation, human shape models are used to get human’s position and coarse region. The human models with variant scale and posture are constructed with head, torso, and legs. For each human body, its corresponding human shape model is obtained by model matching, and by which human position is obtained roughly. Human precise contour is obtained in fine segmentation by curve evolution with initial contour obtained from coarse segmentation. Experiment results show that the proposed method could segment human object precisely. DOI : http://dx.doi.org/10.11591/telkomnika.v12i5.3539
Topologies of DC-DC Converter in Solar PV Applications
Nor Hanisah Baharudin;
Tunku Muhammad Nizar Tunku Mansur;
Fairuz Abdul Hamid;
Rosnazri Ali;
Muhammad Irwanto Misrun
Indonesian Journal of Electrical Engineering and Computer Science Vol 8, No 2: November 2017
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v8.i2.pp368-374
Solar energy plays an important role in renewable energy generation systems since it is clean, pollution-free sustainable energy as well as the increasing cost-of-electricity which causes high-growth demands amongst utility customers. This paper presents various circuit topologies of DC-DC converters in solar photovoltaic (PV) applications. There are three types of DC-DC converter presented in this paper that can be integrated with solar PV system which are buck, boost and buck-boost converter in various applications. This paper also presents the application on DC-DC converter in solar PV system for maximum power point tracking (MPPT) feature. The advantages and disadvantages of each topology will be discussed further in term of cost, components, efficiency and limitations.
Compact modeling of strained GAA SiNW
Fatimah K. A Hamid;
N. Ezaila Alias;
R. Ismail;
M. Anas Razali
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 1: April 2019
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v14.i1.pp241-249
Strain-based on advanced MOSFET is a promising candidate for the future of CMOS technology. A numerical model is not favorable compared to a compact model because it cannot be integrated into most simulator software. Thus, a compact model is proposed to overcome the shortcomings in the analytical model. In this paper, a charge-based compact model is presented for long-channel strained Gate-All-Around Silicon Nanowire (GAA SiNW) from an undoped channel to a doped body. The model derivation is based on an inversion charge which has been solved explicitly using the smoothing function. The drain current model is formulated from Pao Sah’s dual integral which is formed in terms of inversion charge at the drain and source terminals. The proposed model has been extensively verified with the numerical simulator data. The strained effect on the electrical parameters are studied based on inversion charge, threshold voltage and current-voltage (I-V) characteristics. Results show that the current, the inversion charge and the threshold voltage can be greatly improved by the strain. The threshold voltage was reduced approximately 40% from the conventional GAA SiNW. Moreover, the inversion charge was improved by 30 % and the on-state current has doubled compared to unstrained device.
Microstrip array antenna with inset-fed for WLAN application
Norfishah Ab Wahab;
W. Nor Syafizan W. Muhamad;
Zuhani Ismail Khan;
Suzi Seroja Sarnin
Indonesian Journal of Electrical Engineering and Computer Science Vol 17, No 1: January 2020
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v17.i1.pp340-346
This paper proposed three designs of microstrip array patch antennas, to resonate at 2.4 GHz. The purpose of the study is to achieve size reduction with acceptable performance for wireless communication system applications. Based on the array concept, the array antennas are arranged using corporate network technique. It is found that the simulated 4x3 patch array antenna achieved the compact size with dimension reduced up to 26% compared to 4x1 and 4x2 array patch antennas. In terms of return loss, the antenna attenuated more than 19 dB. The 4x3 patch array antenna is fabricated and measured using RO4350 microstrip substrate to validate the concept. The responses are found in good agreement between simulation and measurement.