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30,033 Article Results

Error-correcting Coding Usage for Data Transmission Through Power Lines

10.11591/ijpeds.v9.i3.pp1423-1431
Aleksey Ishchenko , Vladimir Shevelev , Alexander Naronov , Alexander Tcherepanov , Boris Shulgin
A concept of data transmission within downhole telemetry systems in oilfield industry through power lines is presented. Based on this concept, MATLAB/Simulink models simulating communication lines in downhole telemetry systems are built, which can be used as prototypes for development of real systems. The most appropriate signal modulation methods for data transmission in downhole telemetry systems are suggested and discussed. The influence of high-voltage interference on signal transmission through power line from downhole unit to ground based unit is simulated. Usage of error-correcting coding methods for data transmission such as Hamming code, Reed-Solomon code, BCH code is suggested, and its efficiency is demonstrated.
Volume: 9
Issue: 3
Page: 1423-1431
Publish at: 2018-09-01

Evaluation of Selective Harmonic Elimination Pulse Width Modulation Technique for Unipolar Single-Phase H-Bridge Inverter: Comparative Study

10.11591/ijpeds.v9.i3.pp1157-1165
Hussain Attia
In this paper, a detailed comparative study about evaluating the single phase inverter performance based on selective harmonic elimination pulse width modulation (SHE PWM) technique is presented. Set of nonlinear equations are derived, four groups of switching angles are calculated using the numerical iterative method of Newton-Raphson. These angles are representing the ideal solutions to eliminate the low order harmonics from inverter output voltage and load current. Inverter effectiveness is evaluated by comparing the performance based on SHE PWM and based on the conventional constant switching frequency PWM (CSF PWM) technique. Same parameters setting is selected with considering the constant switching frequency value for each case separately as equivalent to the number of switching angles. Moreover, different rated load powers are investigated to explain the merit of SHE PWM within high power applications. MATLAB / Simulink simulation results are clearly indicating the priority of the SHE PWM at all groups of calculated angles and at different load power as well.
Volume: 9
Issue: 3
Page: 1157-1165
Publish at: 2018-09-01

A Concise Review of Control Techniques for Reliable and Efficient Control of Induction Motor

10.11591/ijpeds.v9.i3.pp1124-1139
Abdullah Alwadie
Induction motors are work-horse of the industry and major element in energy conversion. The replacement of the existing non-adjustable speed drives with the modern variable frequency drives would save considerable amount of electricity. A proper control scheme for variable frequency drives can enhance the efficiency and performance of the drive. This paper attempt to provide a rigorous review of various control schemes for the induction motor control and provides critical analysis and guidelines for the future research work. A detailed study of sensor based control schemes and sensor-less control schemes has been investigated. The operation, advantages, and limitations of the various control schemes are highlighted and different types of optimization techniques have been suggested to overcome the limitations of control techniques
Volume: 9
Issue: 3
Page: 1124-1139
Publish at: 2018-09-01

Effect of dust accumulation on the performance of photovoltaic panels in desert countries: A case study for Madinah, Saudi Arabia

10.11591/ijpeds.v9.i3.pp1356-1366
Mohamed Benghanem , Abdullah Almohammedi , Mohammed Taukeer Khan , Ahmad Al-Masraqi
The present research shows the effect of dust accumulation on the surface of photovoltaic (PV) modules, which cause losses in their output power. We got 28% of losses in output power at Madinah city during 60 days of dust accumulation. Two ways were used to study the effect of dust on the PV modules of type monocrystalline silicon: the quantitative and the qualitative approaches respectively. A model based on dust density is used to determine the losses of output PV power. We propose to add an important parameter noted dust accumulation coefficient (%/mg.cm-2), in data sheet of PV modules manufacturer. In addition, an intelligent cleaning system is proposed, using the notion of dust density, to start cleaning when an admissible value of power losses is reached. This process allows minimizing the effect of dust. 
Volume: 9
Issue: 3
Page: 1356-1366
Publish at: 2018-09-01

Weighting Model for Group Decision Support System: A Review

10.11591/ijeecs.v11.i3.pp962-974
Hamdani Hamdani , Retantyo Wardoyo , Khabib Mustofa
This paper was conducted a survey of research findings related to decision-making in groups using weighting techniques This paper conducts a survey of research findings related to decision-making in groups using weighting techniques, therefore, a new weighting model can be proposed.. In order to make a decision, this model works based on the weighting parameters, criteria or decision makers (DM) to give ranking preference in the decision results. Weighting could be done objectively or subjectively by statistical calculations. Subjective weighting based on an understanding or expertise of the decision-making process, furthermore, a numerical value was needed to make it objective. The previous weighting models need to be modified for the development of group decision support systems (GDSS). It is required to accommodate the interests of all stakeholders to link the DM relationship. We formed several groups of weighting methods that currently use for the trend of group decision-making (GDM). It showed that the classical multi-criteria decision-making (MCDM) models are still dominant in solving GDSS problems, therefore, it was necessary to apply hybrid MCDM with an approach method of stakeholders models and social networks (SN) to improve decision model that has been applied in the previous research.
Volume: 11
Issue: 3
Page: 962-974
Publish at: 2018-09-01

Challenging Issues in Automated Oil Palm Fruit Grading

10.11591/ijai.v7.i3.pp111-118
Gaurang S Patkar , Anjaneyulu G.S.G.N , Chandra Mouli P.V.S.S.R
Late advancement in Agriculture segment utilizing Image preparing and fuzzy logic methods has empowered ranchers to expand the yield of harvest and served the nourishment needs of the whole people. Look into in horticulture is pointed towards increment in the profitability, quality and lessening the likelihood of blunder presented by people. The biggest oil palm creation is in Malaysia and Indonesia and they send out palm oil to different nations on the planet. The most outrageous enthusiasm for palm oil is in India. This came to fruition India into Palm Oil advancement and era in various states . With a specific end goal to expand the efficiency of palm oil organic products, palm oil industry and in addition analysts utilizes different machine-vision systems to review the natural products. Tragically, the information caught and prepared is confronted with restricted learning and accuracy. There are a few difficulties required with the outline and usage of palm oil organic product reviewing. This paper introduces an outline of different Image handling and fuzzy logic methods, distinguishes and addresses testing issues in computerized palm natural product evaluating.
Volume: 7
Issue: 3
Page: 111-118
Publish at: 2018-09-01

Control of Pole-Climbing Robot Orientation using Self-Tuning Method

10.11591/ijpeds.v9.i3.pp1029-1037
Muhammad Aziz Muslim , Goegoes Dwi Nusantoro , Rini Nur Hasanah , Mokhammad Hasyim Asy’ari
This paper describes the method to control a hybrid robot whose main task is to climb a pole to place an object on the top of the pole. The hybrid pole-climbing robot considered in this paper uses 2 Planetary PG36 DC-motors as actuators and an external rotary encoder sensor to provide a feedback on the change in robot orientation during the climbing movement. The orientation control of the pole-climbing robot using self-tuning method has been realized by identifying the transfer function of the actuator system under consideration, being followed with the calculation of control parameters using the self-tuning pole-placement method, and furthermore being implemented on the external rotary encoder sensor. Self-tuning pole-placement method has been explored to control the parameters q0, q1, q2, and p1 of the controller. The experiments were done on a movement path in a form of a cylindrical pole. The first experiment was done based one the change in rotation angle of the rotary sensor with the angle values greater than 50˚ in the positive direction, whereas the second experiment was done with the angle values greater than -50˚ in the negative direction. The experiment results show that the control of the robot under consideration could maintain its original position at the time of angle change disturbance and that the robot could climb in a straight direction within the specified tolerance of orientation angle change.
Volume: 9
Issue: 3
Page: 1029-1037
Publish at: 2018-09-01

Input Current Ripple Analysis of Multiphase PWM Inverters

10.11591/ijpeds.v9.i3.pp1432-1444
Anwar Muqorobin , Pekik Argo Dahono
This paper investigates the relationship between inverter phase number and inverter input current ripple. Analysis results show that increasing the phase number more than nine cannot provide significant input current ripple reduction. The input current ripple is not affected by the switching frequency. Simulation and experimental results are included in this paper to show the validity of the proposed analysis method.
Volume: 9
Issue: 3
Page: 1432-1444
Publish at: 2018-09-01

The Recovery of Energy from a Hybrid System to Improve the Performance of a Photovoltaic Cell

10.11591/ijpeds.v9.i3.pp957-964
Abdelhak Lekbir , Chin Kim Gan , Mohd Ruddin Ab Ghani , Tole Sutikno
The main objective of this work is to study a photovoltaic/thermoelectric hybrid generator system, ranging from characterisation of thermoelectric (TE) and photovoltaic (PV) modules basic elements of thermal and PV energy conversion into electrical energy through necessary modelling steps. The bibliographic study allows TE and PV generation to be positioned in the current context, by presenting their history and evolution. In some sectors, this technology has already matured. For example, in the space sector, the scientific activity seems to show an acceleration in hybrid systems development in the solar field. This research field remains completely open, as evidenced by the multiplicity of technological solutions implemented. A significant part of this work has been to develop generic energy models of various modules (PV and thermal) for a multi-source generator design, based on experimental tests and existing technologies. In addition, a methodology for sizing optimisation of such generator was proposed by considering surface or volume criteria, number of thermoelectric generator (TEG) modules and temperature gradient.
Volume: 9
Issue: 3
Page: 957-964
Publish at: 2018-09-01

Meso- and microporous carbon electrode and its effect on the capacitive, energy and power properties of supercapacitor

10.11591/ijpeds.v9.i3.pp1263-1271
Erman Taer , R. Taslim , Sugianto Sugianto , M. Paiszal , Mukhlis Mukhlis , W. S. Mustika , Agustino Agustino
Activated carbon monoliths (ACMs) with average pore diameters in the meso- and micropore regions were successfully produced from biomass material. ACM synthesis uses chemical activation with KOH and ZnCl2 activating agents. The carbon and activating agent mass ratios were 1:1, 1:3, 1:5 and 1:7. Both activating materials produced an ACM with an average pore diameter of 3.2 nm. The specific capacitance, specific surface area, energy and power were as high as 63 F/g, 650 m2/g, and 0.23 Wh/kg for KOH and 73 F/g, and 522 m2/g, and 19 W/kg for ZnCl2 activating agents, respectively. For comparison, we also studied the physical and electrochemical properties of ACM with an average pore size in the micropore range from the same raw material.
Volume: 9
Issue: 3
Page: 1263-1271
Publish at: 2018-09-01

Modified AES for Text and Image Encryption

10.11591/ijeecs.v11.i3.pp942-948
Heidilyn V. Gamido , Ariel M. Sison , Ruji P. Medina
Advanced Encryption Standard (AES) is one of the most frequently used encryption algorithms. In the study, the Advanced Encryption Standard is modified to address its high computational requirement due to the complex mathematical operations in MixColumns Transformation making the encryption process slow. The modified AES used Bit Permutation to replace the MixColumns Transformation in AES since bit permutation is easy to implement and it does not have any complex mathematical computation. Results of the study show that the modified AES algorithm exhibited increased efficiency due to the faster encryption time and reduced CPU usage. The modified AES algorithm also yielded higher avalanche effect which improved the performance of the algorithm.
Volume: 11
Issue: 3
Page: 942-948
Publish at: 2018-09-01

Analysis of Different Meta Heuristics Method in Intelligent Fault Detection of Multilevel Inverter with Photovoltaic Power Generation Source

10.11591/ijpeds.v9.i3.pp1214-1222
T. G. Manjunath , Ashok Kusagur
Meta Heuristic methods have made a deep impact in the area of optimization in different streams of engineering. The performance of these algorithms is of importance because the hardware implementation of these algorithms is to be carried out for different engineering applications. As an important application in High Voltage DC (HVDC) transmission and Industrial Drives the multilevel inverter fault diagnosis is carried out using the different meta-heuristic methods with Neural Network as the decision making algorithm. The optimization of the weight and the bias values in the neural network diagnosis system is carried out in order to analyze the performance by means of comparing the Mean Square Error (MSE) while the Neural Network is getting trained for different fault conditions in the multilevel inverter. Matlab based implementation is carried out and the results are tabulated and inferred for a Multilevel Inverter fed from the Photovoltaic power generation system. In order to increase the robustness of the fault detection, with renewable energy based power generation system as the source for the Multilevel Inverter, the feature extracted from the multilevel inverter are positive, negative and zero sequence voltage along with the THD of the output voltage. The optimization algorithm used is Particle Swarm Optimization (PSO), Cuckoo Search Algorithm(CSA), Genetic Algorithm(GA) and Tabu Search Algorithm (TSA).
Volume: 9
Issue: 3
Page: 1214-1222
Publish at: 2018-09-01

Logo Counseling for Low Spiritual Self-Esteem Among College Students

10.11591/ijere.v7i3.13776
Jacob Daan Engel , Lobby Loekmono
The purpose of this research was to examine logo counseling model in improving low spiritual self-esteem problem for college students. This research used descriptive method and quasi-experiment method with a non-equivalent pre-test-post-test control group design. The results then analyzed from the statistical significance and the practical significance. The result showed that logo counseling model could improve low spiritual self-esteem among college students, indicated by statistical significance of tcount (43.851) > ttable (2.144) and N-gain of the experimental group (0.75) > N-gain of the control group (0.15) and practical significance of positive attitude, behavior and value changes. Recommendation also given for related agencies to implement logo counseling model in training program and for further research by related experts in the field.
Volume: 7
Issue: 3
Page: 236-243
Publish at: 2018-09-01

Experimental Analysis of Simplified Rules Fuzzy Logic Speed Controller for Wide Speed Range Operations

10.11591/ijpeds.v9.i3.pp1090-1097
Md Hairul Nizam Talib , Z. Ibrahim , Z. Rasin , J.Mat Lazi , M. Azri , N.S.Y. Farah
This paper presents the experimental analysis of simplified rules Fuzzy Logic Speed Controller (FLSC) of Induction Motor drive. The maximum gain of input scaling factor, FLSC is generally limited by the coverage of universe of discoursed (UoD). Thus, to further increase the input gain scaling factor, the outer membership function need to be increased.  This analysis covers various values in the range of UoD values from [-1,1] to [-5,5] for the wide speed range operations from low to rated speed ranges. The FLSC is employed to the indirect Field Oriented Control method fed by a voltage source inverter. Simulation and experimental verification is done by using Matlab/Simulink and dSPACE 1103 controller experimental rigs respectively. Based on the results, speed performance behaviours are improved over the wide speed range operations in term of rise time and setting time. The tuning approached is simple without additional algorithm for faster and more accurate response.
Volume: 9
Issue: 3
Page: 1090-1097
Publish at: 2018-09-01

Quadratic Support Vector Machine For The Bomba Traditional Textile Motif Classification

10.11591/ijeecs.v11.i3.pp1004-1014
Nuraedah Nuraedah , Muhammad Bakri , Anita Ahmad Kasim
The Bomba textile is one of the textile fabrics in Indonesia used in a province called Sulawesi Tengah. Bomba Textile has a unique pattern and has a philosophical meaning in human life in Sulawesi Tengah. Bomba Textile has many motif patterns and varied colors. The problem in this research is the difficulty in classifying every The Bomba textile motif in each class. Data classification is needed to recognize the motif of each Bomba textile pattern and to cluster it into the appropriate class. The features used to classify the Bomba textile motif is the textural feature. Texture features obtained from Gray-Level Co-occurrence matrices (GLCM) method consisting of energy, contrast, homogeneity and correlation with four angles 0°, 45°, 90°, and 135°. This research will implement Quadratic Vector Machine (QSVM) method with texture feature on Bomba textile pattern. The use of a single texture feature with angles 90° has an accuracy of 90.3%. The incorporation of texture features by involving all features at all angles can improve the accuracy of the classification model. This research produces a model of motif classification on the Bomba textile which has the classification accuracy of 94.6% and error rate of 5.4%.
Volume: 11
Issue: 3
Page: 1004-1014
Publish at: 2018-09-01
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