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31,456 Article Results

Implementation Optimal Location and Sizing of UPFC on Iraqi Power System Grid (132 kV) Using Genetic Algorithm

10.11591/ijpeds.v9.i4.pp1607-1615
Ghassan Abdullah Salman , Mohammed Hasan Ali , Ali Najim Abdullah
Electric power systems required efficient processors and intelligent methods for sustainability therefore, in this paper used Flexible AC Transmission System (FACTS) device specifically Unified Power Flow Controller (UPFC) because of its useful properties on series and shunt devices and used Genetic Algorithm (GA) to determine the optimal location and values of UPFC to achieve the following objectives: improve voltages profile, reduce power losses, treatment of power flow in overloaded transmission lines and reduce power generation. Consequently, all of these goals led to a reduction in the total cost of the power system. GA was applied to an Iraqi local power grid system (Diyala 132 kV) to find the optimal values and locations of UPFC for the purpose of achieving the objectives mentioned above using the MATLAB program. The simulation results showed the effectiveness of GA to calculate the optimum values and locations of UPFC and promising results were obtained for the Diyala power network (132 kV) with regard to the desired objectives.
Volume: 9
Issue: 4
Page: 1607-1615
Publish at: 2018-12-01

Design of shunt hybrid active power filter (SHAPF) to reduce harmonics in AC side due to Non-linear loads

10.11591/ijpeds.v9.i4.pp1926-1936
Madhu B R , Dinesh MN , Ravitheja BM
The quality of power is a major concern because of harmonics in the lines due to various sources. Passive filters have been used to eliminate the specific harmonics. In this paper shunt hybrid active power filter which consists of shunt active filter and shunt passive filter is designed to reduce harmonics in source   side for non linear loads. The shunt passive filter includes a tuned RLC circuit that behaves like a band-pass filter for a particular harmonic content. The shunt active filter is a VSI that produces reverse harmonic current based on Clarke’s transformation. This paper presents the control strategy by implementing instantaneous reactive power theory to design Shunt Hybrid Active Filter (SHAPF) for a non linear load. The proposed control technique is simulated using MATLAB SIMULINK, Results prove there is considerable reduction in THD of source current from 30.35% to 3.25% with the proposed controller on   shunt hybrid active power filter.   The performance of SHAPF is better than Passive and Shunt Active Power Filters. 
Volume: 9
Issue: 4
Page: 1926-1936
Publish at: 2018-12-01

Metrics and Benchmarks for Empirical and Comprehension Focused Visualization Research in the Sales Domain

10.11591/ijeecs.v12.i3.pp1340-1348
Loo Yew Jie , Doris Hooi-Ten Wong , Zarina Mat Zain , Nilam Nur Amir Sjarif , Roslina Ibrahim , Nurazean Maarop
Data visualization is an effort which aims to communicate data effectively and clearly to the audience through graphicalrepresentation. Data visualization efforts must be coordinated with an understanding into the Cognitive Learning Theory (CLT). In the sales domain, sales data visualization are made possible with the available Business Intelligence (BI) tools such as Microsoft Power BI, Tableau, Plotly, and others. These tools allow seamless interaction for the top management as well as the sales force with regard to the data. Sales data visualization comes with an array of advantages such as self-service analysis by business users, rapidly adapt to changing business conditions, and enable continuous on-demand reporting among others. The advantages of sales data visualization also comes with the challenges such as difficulty in identifying visual noise, high rate of image change, and high performance requirements. In an effort to reduce cognitive activity that does not enhance learning, sales visualization dashboard must be designed in a way that is neithertoo simplistic nor too complex to ensure that the Intrinsic Cognitive Load (ICL), Extrinsic Cognitive Load (ECL), and Germane Cognitive Load (GCL) are in sync with the audience. With the combination of sales data visualization and CLT, understanding complex sales details quickly is made possible by not only the top management of the organization, but also the sales force of the organization.
Volume: 12
Issue: 3
Page: 1340-1348
Publish at: 2018-12-01

Comparative Study of Controllers for an Isolated Full Bridge Boost Converter Topology in Fuel Cell Applications

10.11591/ijpeds.v9.i4.pp1644-1656
S. Vijaya Madhavi , G. Tulasi Ram Das
Now a day’s renewable energy sources became an interesting area of research of which fuel cells are emerged as an alternative source for producing electricity to meet the energy crisis. This led to a research on power conditioning systems through which fuel cell is interfaced to the utility. Of the different converter topologies Isolated full bridge boost converter (IFBC) topology is most suitable for fuel cell applications. In this paper a Predictive Switching Modulator (PSM) Control is proposed for the converter topology and its performance is compared with Linear Peak Current Mode control (LPCM), Non-Linear Carrier Control (NLC).
Volume: 9
Issue: 4
Page: 1644-1656
Publish at: 2018-12-01

Control Methods on Three-phase Power Converters in Photovoltaic Systems

10.11591/ijpeds.v9.i4.pp1851-1865
Othmane Salama , Abdelmoumen Tabyaoui , Mohamed Benchagra
In this paper, a three-phase load connected to a NPC three-level inverter is presented. To generate gate signals for the multilevel inverter, two commands are developed and compared: the phase disposition pulse width modulation (PDPWM) and the space vector pulse width modulation (SVPWM). DC supply is provided by photovoltaic cells. Boost converter controls the power transfer from photovoltaic generator. Due to nonlinear I-V characteristics of photovoltaic cells, a maximum power point tracking algorithm is adopted to maximize the output power, the nonlinear controller (sliding mode) is developed and simulated. To verify the effectivnesse of the introdueced controller, it is compared with the fuzzy logic controller. Matlab-simulink is used for simulation, analysis and interpretation the results of these controllers.
Volume: 9
Issue: 4
Page: 1851-1865
Publish at: 2018-12-01

Lossless 4D Medical Images Compression Using Adaptive Inter Slices Filtering

10.11591/ijaas.v7.i4.pp361-368
Leila Belhadef , Zoulikha Mekkakia Maaza
Recent lossless 4D medical images compression works are based on the application of techniques originated from video compression to efficiently eliminate redundancies in different dimensions of image. In this context we present a new approach of lossless 4D medical images compression which consists to application of 2D wavelet transform in spatial directions followed or not by either lifting transform or motion compensation in inter slices direction, the obtained slices are coded by 3D SPIHT. Our approach was compared with 3D SPIHT with/without motion compensation. The results show our approach offers better performance in lossless compression rate.
Volume: 7
Issue: 4
Page: 361-368
Publish at: 2018-12-01

Dwindling of Real Power Loss by Enriched Big Bang-Big Crunch Algorithm

10.11591/ijai.v7.i4.pp190-196
K. Lenin
In this paper, Enriched Big Bang-Big Crunch (EBC) algorithm is proposed to solve the reactive power problem. The problem of converging to local optimum solutions occurred for the Bang-Big Crunch (BB-BC) approach due to greedily looking around the best ever found solutions. The proposed algorithm takes advantages of typical Big Bang-Big Crunch (BB-BC) algorithm and enhances it with the proper balance between exploration and exploitation factors. Proposed EBC algorithm has been tested in standard IEEE 118 & practical 191 bus test systems and simulation results show clearly the improved performance of the proposed algorithm in reducing the real power loss.
Volume: 7
Issue: 4
Page: 190-196
Publish at: 2018-12-01

Automation of DMPS Manufacturing by using LabView &PLC

10.11591/ijaas.v7.i4.pp322-333
F. Fareeza , Chunchu Rambabu , S. Krishnaveni , Abel Chernet Kabiso
This Paper is to enable the Siemens (Programmable Logic Control) CPU 313-5A to communicate with the Lab VIEW and to control the process accuracy by image processing. The communication between CPU 313-5A and Lab VIEW is via OPC (OLE for Process Control).Process Accuracy is achieved with the use of Labview Image Processing and Gray Scale matching Pattern. Accuracy in the gray scale matching will purely depend on the calibration of the camera with respect to the corresponding image. The digital output from the labview is communicated to PLC via Ethernet Protocol for the industrial process control. With the use of Labview the dead time while using the normal image vision module in PLC can be minimized. Labview uses the gray scale matching technique which is more accurate than the normal image vision module used in PLC.
Volume: 7
Issue: 4
Page: 322-333
Publish at: 2018-12-01

Agriculture Data Analytics in Crop Yield Estimation: A Critical Review

10.11591/ijeecs.v12.i3.pp1087-1093
B.M. Sagar , Cauvery N K
Agriculture is important for human survival because it serves the basic need. A well-known fact that the majority of population (≥55%) in India is into agriculture. Due to variations in climatic conditions, there exist bottlenecks for increasing the crop production in India. It has become challenging task to achieve desired targets in Agri based crop yield. Factors like climate, geographical conditions, economic and political conditions are to be considered which have direct impact on the production, productivity of the crops. Crop yield prediction is one of the important factors in agriculture practices. Farmers need information regarding crop yield before sowing seeds in their fields to achieve enhanced crop yield. The use of technology in agriculture has increased in recent year and data analytics is one such trend that has penetrated into the agriculture field being used for management of crop yield and monitoring crop health. The recent trends in the domain of agriculture have made the people to understand the significance of          Big data. The main challenge using big data in agriculture is identification of impact and effectiveness of big data analytics.  Efforts are going on to understand how big data analytics can be used to improve the productivity in agricultural practices. The analysis of data related to agriculture helps in crop yield prediction, crop health monitoring and other such related activities. In literature, there exist several studies related to the use of data analytics in the agriculture domain. The present study gives insights on various data analytics methods applied to crop yield prediction. The work also signifies the important lacunae points’ in the proposed area of research.
Volume: 12
Issue: 3
Page: 1087-1093
Publish at: 2018-12-01

Optimization Based Liver Contour Extraction of Abdominal CT Images

10.11591/ijece.v8i6.pp5061-5070
Jayanthi Muthuswamy , B Kanmani
This paper introduces computer aided analysis system for diagnosis of liver abnormality in abdominal CT images. Segmenting the liver and visualizing the region of interest is a most challenging task in the field of cancer imaging, due to small observable changes between healthy and unhealthy liver. In this paper, hybrid approach for automatic extraction of liver contour is proposed. To obtain optimal threshold, the proposed work integrates segmentation method with optimization technique in order to provide better accuracy. This method uses bilateral filter for preprocessing and Fuzzy C means clustering (FCM) for segmentation. Mean Grey Wolf Optimization technique (mGWO) has been used to get the optimal threshold. This threshold is used for segmenting the region of interest. From the segmented output, largest connected region are identified using Label Connected Component (LCC) algorithm. The effectiveness of proposed method is quantitatively evaluated by comparing with ground truth obtained from radiologists. The performance criteria like dice coefficient, true positive error and misclassification rate are taken for evaluation.
Volume: 8
Issue: 6
Page: 5061-5070
Publish at: 2018-12-01

A Secure Data Transmission Scheme using Asymmetric Semi-Homomorphic Encryption Scheme

10.11591/ijaas.v7.i4.pp369-376
S. Nagavalli , G. Ramachandran
The compressive detecting based information accumulation accomplishes with high exactness in information recuperation from less inspection which is available in sensor nodes. In this manner, the existing methods available in the literature diminish the information gathering cost and delays the existence cycle of WSNs. In this paper, a strong achievable security model for sensor network applications was initially proposed. At that point, a secure data collection conspire was displayed based on compressive detecting, which improves the information protection by the asymmetric semi-homomorphic encryption scheme, and decreases the calculation cost by inadequate compressive grid. In this case, particularly the asymmetric mechanism decreases the trouble of mystery key circulation and administration. The proposed homomorphic encryption permits the in-arrange accumulation in cipher domain, and in this manner improves the security and accomplishes the adjustment in system stack. Further, this paper focuses on estimating various network performances such as the calculation cost and correspondence cost, which remunerates the expanding cost caused by the homomorphic encryption. A real time validation on the proposed encryption scheme using AVISPA was additionally performed and the results are satisfactory.
Volume: 7
Issue: 4
Page: 369-376
Publish at: 2018-12-01

A Neural Network and Fuzzy Logic based MPPT Algorithm for Photovoltaic Pumping System

10.11591/ijpeds.v9.i4.pp1823-1833
Salwa Assahout , Hayat Elaissaoui , Abdelghani El Ougli , Belkassem Tidhaf , Hafida Zrouri
The use of solar energy had gained a great attention last decades, as it is pollution-free. It is used in isolated areas for lighting, pumping, etc. However, the extraction of the maximum power generated by a PVG at any moment of the day is a big deal because the characteristic of a PVG in non-linear which makes the location of the Maximum Power Point (MPP) difficult. Therefore, a Maximum Power Point Tracking technique (MPPT) is required to maximize the output power. In this paper, a photovoltaic water pumping system has been studied. This system consists of three main parts: PVG, a DC-DC boost converter and a DC motor coupled with a centrifugal water pump. We have proposed a new MPPT algorithm based on Fuzzy logic and Artificial Neural Network (ANN) to improve the system performances. The ANN is used to predict the optimal voltage of the PVG, under different environmental conditions (temperature and solar irradiance) and the fuzzy controller is used to command the DC-DC boost converter. The proposed method is compared to P&O technic, by simulation under Matlab/Simulink, to verify its effectiveness. 
Volume: 9
Issue: 4
Page: 1823-1833
Publish at: 2018-12-01

Recycling of Industrial Waste Water for the Generation of Electricity By Regulating the Flow Control Sensor using IoT

10.11591/ijaas.v7.i4.pp347-352
Kaviyaraj. R , Karthika M S , Jeni Narayanan L.A , Saleekha .
The paper focuses on generating the renewable energy source from industrial waste water effluents. Utilizing the industrial waste water in order to generate electricity, a flow control sensor has been installed at the outlet of the tunnel which passes the waste water to the turbine. As per the need, the generation of electricity varies with respect to the flow through the use of flow control sensor. The generated electricity is then used for powering the street lights, gardening and run-way paths, during night time. The flow control sensor when integrated using IoT and cloud storage facilitates efficiency and scalability thereby providing massive utilization of energy usage.
Volume: 7
Issue: 4
Page: 347-352
Publish at: 2018-12-01

Improved Time Training with Accuracy of Batch Back Propagation Algorithm Via Dynamic Learning Rate and Dynamic Momentum Factor

10.11591/ijai.v7.i4.pp170-178
Mohammed Sarhan Al_Duais , Fatma Susilawati. Mohamad
The man problem of batch back propagation (BBP) algorithm is slow training and there are several parameters needs to be adjusted manually, also suffers from saturation training.The learning rate and momentum factor are significant parameters for increasing the efficiency of the (BBP). In this study, we created a new dynamic function of each learning rate and momentum facor. We present the DBBPLM algorithm, which trains with a dynamic function for each the learning rate and momentum factor. A Sigmoid function used as activation function. The XOR problem, balance, breast cancer and iris dataset were used as benchmarks for testing the effects of the dynamic DBBPLM algorithm. All the experiments were performed on Matlab 2012 a. The stop training was determined ten power -5. From the experimental results, the DBBPLM algorithm provides superior performance in terms of training, and faster training with higher accuracy compared to the BBP algorithm and with existing works.
Volume: 7
Issue: 4
Page: 170-178
Publish at: 2018-12-01

Data Visualization and Analysis of Engineering Educational Statistics

10.11591/ijaas.v7.i4.pp309-316
Siddhaling Urolagin , Ishita Upadhyaya , Afrah Abbas Thakur
Engineering, is one of the most popular fields of higher education in the modern day woreld. Majority of the students these days opt for engineering as a career, due to the vastness of choices provided by engineering. Mechanical, Electrical, Computer Science, Civil and Biotechnology are the various disciplines and have varying strength in terms of number of students who join a particular discipline. In this research, we have gather data from various published articles about engineering education and carried out the data visualization and analysis using Tableau 9.2. The objective of the analysis is to help the students to make the decision and the choice about discipline of engineering from which particular university would be the most suitable based on the data collected and represented. Various categories of statistics such as number of graduates from a particular university in a particular discipline, and which university had the maximum number of graduates in a certain year will help the students make their decisions about their future in a more easy and a sorted manner.
Volume: 7
Issue: 4
Page: 309-316
Publish at: 2018-12-01
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