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31,456 Article Results

Material Handling and Assembly Process Optimization using Value Stream Mapping

10.11591/ijra.v6i1.pp59-68
Daniel Derrell Forest , G.H. Massiha
The purpose of this project is to evaluate and optimize an assembly process for ergonomic and productivity considerations. Companies use lean manufacturing as a method for continuous improvement in order to increase throughput and for to reallocate resources for more important tasks. For this project, value stream mapping (VSM) was used to evaluate, analyze, and improve the ergonomic factors of an assembly process and to increasing throughput. With the use of VSM, researchers are able to see the areas of added value, non-added value, and bottlenecks. This project illustrates the implementation of VSM for the minimization of waste, by using the design method to restructure the process of assembly. The results show drastic improvement in assembly time and ergonomic workplace design, while providing a platform for a continuous improvement system.
Volume: 6
Issue: 1
Page: 59-68
Publish at: 2017-03-01

Path Planning of the Fire Escaping System Using Active Detection Module

10.11591/ijra.v6i1.pp21-30
Ying Yao Ting , Huan Sheng Wang , Kuo Lan Su
This article proposes a security system which detects the fire events and plans the moving route. Each robot with several modules owns the shape of cylinder and height, weight and diameter is 18cm, 1.5kg and 8cm. A main controller (STC12C5A60S2) equips robots as a microprocessor. Each robot has the capability to escape from the fire scene. Whenever detecting fires and obstacles using image sensor and reflective IR sensors, robots send the ID code, orientation, and position to the centralized computer and other robots. After other robots have confirmed the fire events, the centralized computer uses the Gaussian probability function to calculate the danger values of the surrounding points near the fire source. And Bayesian estimation method is applied to compute the total estimated value of each point in platform. Furthermore, the total weighted values of all points are shown in a platform and its aim is to enlarge the difference between danger and safety without ambiguity. A* algorithm is used in the escaping routes are planned by a centralized computer. The mobile robot follows the leading of the supervised computer autonomously to escape from dangerous areas. The air-fuel ratio and the rate of increasing in temperature with distance are directly proportional to the danger value. Associating the increasing temperature rate with three-fire sources, it is verified to be an efficient system.
Volume: 6
Issue: 1
Page: 21-30
Publish at: 2017-03-01

Investigating the Written Exam Scores’ Prediction Power of TEOG Exam Scores

10.11591/ijere.v6i1.6344
Hakkı Kontaş , Esen Turan Ozpolat
The purpose of this study was to investigate exam scores’ predicting Transition from Primary to Secondary Education (TEOG) exam scores. The research data were obtained from the records of 1035 students studying at the first term of eighth grade in 2015-2016 academic year in e-school system. The research was on relational screening model. Linear regression model was used for the analysis of data. The analysis results proved that there was a high level significant relationship between exam scores and TEOG exam scores.
Volume: 6
Issue: 1
Page: 31-37
Publish at: 2017-03-01

Values of Local Wisdom: A Potential to Develop an Assessment and Remedial

10.11591/ijere.v6i1.6349
Iwan Setia Kurniawan , Uus Toharudin
This study aimed to describe the ability of student teachers of biology at Pasundan University in developing assessment and remedial based on local wisdom (local wisdom). This research uses descriptive quantitative and comparative approach, the data obtained by the data analysis described to obtain information or a description of these results, further students' ability in comparison. Tests of significance using parametric tests with two-tailed t-test. The population in this study as many as 197 students were divided into 38 groups, 38 groups divided into each of 19 groups and 19 groups remedial assessment. The sample in this research is divided each as much as 13 groups. Data collected by the non-test, the data obtained from a document or report student assignments given a score based on the indicators are divided into several aspects of assessment, data analysis was performed by descriptive statistical. The results showed that the ability of student teachers of biology in developing assessment based on local wisdom including both categories with an average score of 62.23. Remedial teacher's ability to develop based on local wisdom included in the category enough with an average score of 64.31. The highest average score for the assessment is on the aspects of integration of local wisdom values of 71.92 and the lowest score on the aspect of validity assessment amounting to 56.92. The highest average score for remedial namely the implementation aspects of 71.54 and the lowest scores on originality aspects of 53.38. The test results show that the significance of the t (t) of -0.488, t table (t table) two tails at 2.179. p-value of 0.635. Assuming that if t <t table (-0.488 <2.179) or with a p-value> 0.05 (0.635> 0.05) can thus be concluded that students in developing assessment and remedial based on local wisdom has the same ability.
Volume: 6
Issue: 1
Page: 71-78
Publish at: 2017-03-01

Deep Neural Network Method for the Prediction of Xylitol Production

10.11591/ijeecs.v5.i3.pp691-696
Siti Noorain Mohmad Yousoff , ‘Amirah Baharin , Afnizanfaizal Abdullah
Bio-based chemical products such as xylitol have achieved remarkable attentions both in pharmaceutical and food industries due to their several advantages such as sugar substitute that can help diabetic patients and help in preventing tooth decay problem. To produce xylitol, recently, microbial host such as E. Coli often used as it is predicted that E. Coli can produce high level of xylitol. Therefore, metabolic engineering need to be done towards E. Coli and powerful tools are needed to manipulate, simulate and analyse the E. Coli metabolic pathway. Artificial intelligence methods such as deep neural network offer an efficient and powerful approach to be used to analyse the xylitol production value and at the same time to predict which genes and pathway that give biggest effect in the process to produce xylitol in E. Coli. Results show that, with an absence of genes pgi, tkt and tala, xylitol production can be boosted up to the higher level.
Volume: 5
Issue: 3
Page: 691-696
Publish at: 2017-03-01

The Usage of Recycle Materials for Science Practicum: Is There Any Effect on Science Process Skills?

10.11591/ijere.v6i1.6340
Setiyo Prajoko , Mohamad Amin , Fatchur Rohman , Muhana Gipayana
This study aimed at determining the effect of recycle materials usage for science practicum on students' basic science process skills of the Open University, Surakarta. Recycle materials are the term used for the obtained materials and equipment from the students’ environment by taking back the garbage or secondhand objects into goods or new products which have a benefit for practicum activities. Randomized posttest only control group design was applied in this study and involving 83 students which divided into experimental class and control class. Collected data were science process skills test and questionnaire. The results of this study obtained Kruskal Wallis test result of 0.000<0.05. So, there was effect of recycle materials usage for science practicum on students’ science process skills. Students also provided positive feedback on the use of recycle materials for science lab activities.
Volume: 6
Issue: 1
Page: 1-8
Publish at: 2017-03-01

Current Steering Digital Analog Converter with Partial Binary Tree Network (PBTN)

10.11591/ijeecs.v5.i3.pp643-649
Mohd Tafir Mustaffa , Yong Cheng Lim , Choon Yan Teh
DACs are essential devices in many digital systems which require high performance data converters. Thus, shrinking of supply voltage, budget constraints of test times, and rising bandwidth requirement causing DAC architectures to highly relying on matched components to perform data conversions. However, matched components are nearly impossible to fabricate; there are always mismatch errors which causes the difference between the designed and actual component value. Dynamic Element Matching (DEM) is one of the techniques that are commonly used to reduce component mismatch error. This technique is a randomization technique to select one of the appropriate codes for each of the digital input value before entering DAC block. Thus, in this research, a new DEM algorithm is proposed on Current-Steering DAC with Partial Binary Tree Network (PBTN) algorithm that utilizes a lower complexity circuit to produce output signals with less glitches. Simulation results for 6-bit 1-MSB PBTN DAC produces 0.3184LSB of DNL, 0.0062LSB of INL, and a power consumption of 14.13 mW, while using only 126 transmission gates.
Volume: 5
Issue: 3
Page: 643-649
Publish at: 2017-03-01

A Hybrid Chebyshev-ICA Image Fusion Method Based on Regional Saliency

10.12928/telkomnika.v15i2.6147
Zaid; Universiti Teknologi Malaysia Omar , Tania; Universiti Teknologi Malaysia Stathaki , Musa; Universiti Teknologi Malaysia M. Mokji , Lila; Universiti Teknologi Malaysia Iznita Izhar
An image fusion method that performs robustly for image sets heavily corrupted by noise is presented in this paper. The approach combines the advantages of two state-of-the-art fusion techniques, namely Independent Component Analysis (ICA) and Chebyshev Poly-nomial Analysis (CPA) fusion. Fusion using ICA performs well in transferring the salient features of the input images into the composite output, but its performance deteriorates severely under mild to moderate noise conditions. CPA fusion is robust under severe noise conditions, but eliminates the high frequency information of the images involved. We pro-pose to use ICA fusion within high activity image areas, identified by edges and strong textured surfaces and CPA fusion in low activity areas identified by uniform background regions and weak texture. A binary image map is used for selecting the appropriate method, which is constructed by a standard edge detector followed by morphological operators. The results of the proposed approach are very encouraging as far as joint fusion and denoising is concerned. The works presented may prove beneficial for future image fusion tasks in real world applications such as surveillance, where noise is heavily present.
Volume: 15
Issue: 2
Page: 934-941
Publish at: 2017-03-01

Local Binary Fitting Segmentation by Cooperative Quantum Particle Optimization

10.12928/telkomnika.v15i1.3159
Desheng; Anhui Science and Technology University Li , Qian; Guilin University of Electronic Technology He , Liu; Anhui Science and Technology University Chunli , Yu; Anhui Science and Technology University Hongjie
Recently, sophisticated segmentation techniques, such as level set method, which using valid numerical calculation methods to process the evolution of the curve by solving linear or nonlinear elliptic equations to divide the image availably, has become being more popular and effective. In Local Binary Fitting (LBF) algorithm, a simple contour is initialized in an image and then the steepest-descent algorithm is employed to constrain it to minimize the fitting energy functional. Hence, the initial position of the contour is difficult or impossible to be well chosen for the final performance. To overcoming this drawback, this work treats the energy fitting problem as a meta-heuristic optimization algorithm and imports a varietal particle swarm optimization (PSO) method into the inner optimization process. The experimental results of segmentations on medical images show that the proposed method is not only effective to both simple and complex medical images with adequate stochastic effects, but also shows the accuracy and high efficiency.
Volume: 15
Issue: 1
Page: 531-539
Publish at: 2017-03-01

Image Reconstruction Based on Combination of Inverse Scattering Technique and Total Variation Regularization Method

10.11591/ijeecs.v5.i3.pp569-576
Nor Haizan Jamali , Kismet Anak Hong Ping , Shafrida Sahrani , Dayang Azra Awang Mat , Mohamad Hamiruce Marhaban , Mohd Iqbal Saripan , Toshifumi Moriyama , Takashi Takenaka
The Forward-Backward Time-Stepping (FBTS) had proven its potential to reconstruct images of buried objects in inhomogeneous medium with useful quantitative information about its size, shape, and locality. The Total Variation regularization method was incorporated with the FBTS algorithm to deal with the ill-posedness or ill-conditionedness of the inverse problem. The effectiveness of the proposed technique is confirmed by numerical simulations. The numerical method was carried out on a simple object detection through FBTS with and without TV regularization method. The detection and reconstruction of relative permittivity and conductivity of the simple object have shown an improvement as TV regularization method applied whereas it smoothed the vibrations of the images and gave a better estimation of the image’s boundaries.
Volume: 5
Issue: 3
Page: 569-576
Publish at: 2017-03-01

Desktop Tomography System using Planar ECT Device

10.12928/telkomnika.v15i2.6116
Shahrulnizahani; Universiti Teknologi Malaysia Mohammad Din , Nur; Universiti Teknologi Malaysia Adila Mohd Razali , Jaysuman; Universiti Teknologi Malaysia Pusppanathan , Chee; Universiti Tunku Abdul Rahman Pei Song , Ruzairi; Universiti Tun Hussein Onn Malaysia (UTHM) Abdul Rahim , Leow; Universiti Teknologi Malaysia Pei Linga
Miniaturized planar electrical capacitance tomography (ECT) device is fabricated using microfabrication method to accommodate eight planar electrodes to carry out electrical capacitance measurement using tomography technique. Fluids within the detection chamber are detected by the difference of the permittivity parameters. Stagnant and hydrodynamic multiphase samples such as liquid-gas and liquid-liquid are tested. The eight-electrode planar array is fabricated on the copper plated printed circuit board (PCB) and the chamber is fabricated using polymer poly(dimethyl-siloxane) (PDMS). The images of the multiphase sample are reconstructing using Linear Back Projection algorithm (LBP). Computer interface software is developed to display the images of the fluid online. Experimental results show that the reconstructed images closely resemble with the composition of the multiphase sample within the detection chamber.
Volume: 15
Issue: 2
Page: 778-785
Publish at: 2017-03-01

Measurement of 3 Solar Panel Output with Different Treatment Involving Controller and Reflector

10.12928/telkomnika.v15i1.3478
Yulinar; Sriwijaya University Adnan , Khairul; Sriwijaya University Saleh , Assaidah; Sriwijaya University Assaidah
Solar cell as one of renewable energy source had been treated differently in this research. In order to optimize its output and efficiency, three panels output was measured simultaneously by vary its movement and sun light exposure. The variations of measurement  are one static panel without any treatment; one static panel with two mirrors as reflector; and one dynamic panel with reflector. The dynamic panel movement controlled by microcontroller. Result had revealed that the treatment succesfully improve the output of solar cell.
Volume: 15
Issue: 1
Page: 138-142
Publish at: 2017-03-01

Reliability Evaluation of Low-voltage Switchgear Based on Maximum Entropy Principle

10.12928/telkomnika.v15i1.4255
Zhang; Province-Ministry Joint Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability，Hebei University of Technology, Tianjin, China Zhigang , Wang; Province-Ministry Joint Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability，Hebei University of Technology Jingqin , Wang; Province-Ministry Joint Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability，Hebei University of Technology, Tianjin, China Li , Wang; Province-Ministry Joint Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability，Hebei University of Technology, Tianjin, China Meng
In this paper, based on the definition of two-parameter joint entropy and the maximum entropy principle, a method was proposed to determine the prior distribution by using the maximum entropy method in the reliability evaluation of low-voltage switchgear. The maximum entropy method takes kinds of priori information as different constraints. The optimal prior distribution was selected by maximizing entropy under these constraints, which not only contains the known prior information but also tries to avoid the introduction of other assumption information. Based on non-parametric bootstrap method, the hyper-parameters of prior distribution is obtained by two-order moment of prior information. Finally, with the bootstrap method, the prior distribution robustness and the posterior robustness were analyzed, and the posterior mean time between failures for the low-voltage switchgear was estimated.
Volume: 15
Issue: 1
Page: 101-108
Publish at: 2017-03-01

Tapered Microchannel for Multi-particles Passive Separation Based on Hydrodynamic Resistance

10.11591/ijeecs.v5.i3.pp628-635
Ida Laila Ahmad , Mohd Ridzuan Ahmad
Researches on separation of multi-particles utilizing microfluidic have been flourishing in recent years with the aid from advancements in microfabrication design and technology. Generally, separation is beneficial for biomedical application especially involving heterogeneous samples. Due to inherent problems of samples isolation, a simple and efficient separation device is required. Here, we present a passive tapered microchannel for multi-particles separation using hydrodynamic principle. Our emphasis is on the effect of hydrodynamic resistance coupled with tapered microchannel design. In the experiment, successful multi-particles samples separation was observed. The results were further analyzed and were in agreement with the proposed concept. This method opens the route toward robust, low-cost and high-throughput, thus it may holds potential to be integrated as one functional module in micro total analysis system.
Volume: 5
Issue: 3
Page: 628-635
Publish at: 2017-03-01

Fuzzy Information Modeling in a Database System

10.11591/ijai.v6.i1.pp1-7
Salam Ismaeel , Ayman Al-Khazraji , Karama Al-delimi
A Fuzzy logic (FL) provides a remarkably simple way to draw definite conclusions from vague, ambiguous or imprecise information. In a sense, fuzzy logic resembles human decision making with its ability to work from approximate data and find precise solutions. In this paper a fuzzy information modeling system was developed then used in a database, which contains fuzzy data and real data, to create new information assistance capable of making any decision about this data. The proposed system is implemented on a special database used to evaluation workers or users in any formal organizations.
Volume: 6
Issue: 1
Page: 1-7
Publish at: 2017-03-01
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