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30,907 Article Results

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

A Novel Technique for Tuning PI -controller In Switched Reluctance Motor Drive for Transportation Systems

10.11591/ijece.v8i6.pp4272-4281
Mohamed Yaich , Moez Ghariani
This paper presents, an optimal basic speed controller for switched reluctance motor (SRM) based on ant colony optimization (ACO) with the presence of good accuracies and performances. The control mechanism consists of proportional-integral (PI) speed controller in the outer loop and hysteresis current controller in the inner loop for the three phases, 6/4 switched reluctance motor. Because of nonlinear characteristics of a SRM, ACO algorithm is employed to tune coefficients of PI speed controller by minimizing the time domain objective function. Simulations of ACO based control of SRM are carried out using MATLAB /SIMULINK software. The behavior of the proposed ACO has been estimated with the classical Ziegler- Nichols (ZN) method in order to prove the proposed approach is able to improve the parameters of PI chosen by ZN method. Simulations results confirm the better behavior of the optimized PI controller based on ACO compared with optimized PI controller based on classical Ziegler-Nichols method.
Volume: 8
Issue: 6
Page: 4272-4281
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

Hybrid Multilevel Thresholding and Improved Harmony Search Algorithm for Segmentation

10.11591/ijece.v8i6.pp4593-4602
Erwin Erwin , Saparudin Saparudin , Wulandari Saputri
This paper proposes a new method for image segmentation is hybrid multilevel thresholding and improved harmony search algorithm. Improved harmony search algorithm which is a method for finding vector solutions by increasing its accuracy. The proposed method looks for a random candidate solution, then its quality is evaluated through the Otsu objective function. Furthermore, the operator continues to evolve the solution candidate circuit until the optimal solution is found. The dataset used in this study is the retina dataset, tongue, lenna, baboon, and cameraman. The experimental results show that this method produces the high performance as seen from peak signal-to-noise ratio analysis (PNSR). The PNSR result for retinal image averaged 40.342 dB while for the average tongue image 35.340 dB. For lenna, baboon and cameramen produce an average of 33.781 dB, 33.499 dB, and 34.869 dB. Furthermore, the process of object recognition and identification is expected to use this method to produce a high degree of accuracy.
Volume: 8
Issue: 6
Page: 4593-4602
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

Coding Schemes for Implementation of Fault Tolerant Parrallel Filter

10.11591/ijaas.v7.i4.pp353-360
Nutenki Siddhartha , G. Renuka
Digital filters are utilized as a one of flag handling and correspondence frameworks. At times, the unwavering quality of those frameworks is basic, and blame tolerant channel executions are needed. Throughout the years, numerous systems that endeavor the channels' structure and properties to accomplish adaptation to internal failure have been proposed. As innovation scales, it empowers more unpredictable frameworks that join many channels. In those perplexing frameworks, it is regular that a portion of the channels work in parallel. A plan in view of big rectification coding has been as of late proposed to protect parallel channels. In that plan, each channel is deal with as a bit, and excess channels that go about as equality check bits are acquainted with distinguish and rectify blunders. In this short, applying coding systems to secure parallel channels is tended to in a more broad manner. This decreases the assurance overhead and makes the quantity of excess channels autonomous of the quantity of parallel channels. The proposed technique is first described and then illustrated with two case studies. Finally, both the effectiveness in protecting against errors and the cost are evaluated for a field-programmable gate array implementation.
Volume: 7
Issue: 4
Page: 353-360
Publish at: 2018-12-01

Mobile Application Development with Android

10.11591/ijaas.v7.i4.pp317-321
Rajesh Keshavrao Deshmukh , Shilpa Markandey , Pooja Sahu
The Android is mobile platform. It is an open source and free operating system application, by Google it is developed and maintained. It was designed essentially for touch screen mobile devices, such as and tablet, computers, smart phones, watch television, cars etc. Android is one of the most widely used mobile OS. Android is a not only operating system but also key applications and middleware. Android is an open source operating system. It is developed by the open handset Alliance, led by Google, and other companies. Those are used to android studio 2.2.3 version and development the mobile application.
Volume: 7
Issue: 4
Page: 317-321
Publish at: 2018-12-01

The Optimization of Hybrid Air Ventilation System Combined with Silica Gel and Thermoelectric Using Monitoring Control

10.11591/ijpeds.v9.i4.pp1624-1633
Jirod Chaisan , Somchai Maneewan , Chantana Punlek
In this paper, the experimental is evaluated temperature, humidity and air pollution from CO2 by monitoring control of hybrid air ventilation for producing fresh air. The experimental divided into 2 conditions: hybrid air ventilation on-off, recovery silica gel unit. That research consider of a voltage of thermoelectric devices relative with air cooling under thermal comfort zone Thailand climate conditions. In the experimental was designed by the DOAS system (dedicate outdoor air system) concept. Whereas, the hybrid air ventilation was improved by old air ventilation which the hybrid air ventilation combined with silica gel unit and thermoelectric device. Monitoring control is written by Arduino program that is open source for control performance of processes such as sensors, electric current and fan unit. That working is specified temperature and humidity Thailand thermal comfort range. In the part of CO2 was released rate approximately 900 ppm corresponded with indoor air quality standard (IAQs). The results of experimental suggested that in case of hybrid air ventilation system explained thermal, humidity and CO2 distribution due to the system was adapted significantly in the comfort zone temperature and humidity about 28 and 58% respectively. However, the CO2 released into the hybrid air ventilation although control during 900 – 1,000 ppm. High CO2 concentration in comfort zone used the hybrid air ventilation that decreased CO2 inlet under ASHRAE 62.2. Therefore, the experimental is an evaluation of monitoring control hybrid air ventilation for management comfort zone. Finally this research concept of the optimization of the hybrid air ventilation combination with thermoelectric devices and silica gel unit.
Volume: 9
Issue: 4
Page: 1624-1633
Publish at: 2018-12-01

Employee Performance Measurement in Teleworking Using Balanced Scorecard

10.11591/ijece.v8i6.pp5178-5184
Sunu Sugi Arso , Sfenrianto Sfenrianto , Mochamad Wahyudi
Key Performance Indicator (KPI) must be aligned with the development of the organization. PT. Mitra Intregrasi Informatika (MII) in its development decided to change the traditional way of work to modern telework. This encourages companies to adjust employee’s KPI from the traditional way of work turns in to telework. In order to perform KPI measurement of its employees based on teleworking, this research uses balanced scorecard method approach that is by taking into account financial, customer, and internal business process and learning and growth perspective. The results of this study are the design proposal KPI employees to accommodate telework at the company. Then KPI employee test results showed an increase in the average value of the employee KPI of 0.295 points (9.47%) of the old KPI. Thus, it is recommended to the company to implement the employee KPI.
Volume: 8
Issue: 6
Page: 5178-5184
Publish at: 2018-12-01

Empowering E-governance with E-voting

10.11591/ijeecs.v12.i3.pp1081-1086
Amarjeet Singh , Ramakanth Kumar P , Nagaraj G Cholli
Advances in Information and Communications Technology (ICT) have impacted the society in many ways. Be it education, healthcare, media or governance, the transformation is visible. As individual entities like education or healthcare systems have already implemented ICT to certain extent, e-governance is yet to make a significant progress even though several initiatives are undertaken. E-governance means activities like voting, administration, financial transaction etc., are enabled using automation systems.  This paper discusses one part of the e-governance; e-voting. As e-voting empowers government, there are lot of challenges in implementing the e-voting system considering security threats and confidentiality involved in it. Online voting (e-voting) needs to be deployed as more convenient, relatively secure and less resource consuming system.   E-voting system should ensure convenience for people to be able to access the system from personal or public computer with security and confidentiality. The presence of e-voting system with all the necessary security measures and convenience can be a potential solution for low voter turnout at the polls.  The presented work demonstrates an online e-voting prototype system called SecureV. The proposed model achieves specific tasks namely, maintaining the anonymity of the voter, encryption of the vote, integrity check and avoids second time voting.
Volume: 12
Issue: 3
Page: 1081-1086
Publish at: 2018-12-01

Early Detection of High Blood Pressure and Diabetic Retinopathy on Retinal Fundus Images Using CBRIR Based on Lifting Wavelets

10.11591/ijaas.v7.i4.pp334-346
S. S. Tadasare , S. S. Pawar
In this paper we present a lifting wavelet based CBRIR image retrieval system that uses color and texture as visual features to describe the content of a retinal fundus images. Our contribution is of three directions. First, we use lifting wavelets 9/7 for lossy and SPL5/3 for lossless to extract texture features from arbitrary shaped retinal fundus regions separated from an image to increase the system effectiveness. This process is performed offline before query processing, therefore to answer a query our system does not need to search the entire database images; instead just a number of similar class type patient images are required to be searched for image similarity. Third, to further increase the retrieval accuracy of our system, we combine the region based features extracted from image regions, with global features extracted from the whole image, which are texture using lifting wavelet and HSV color histograms. Our proposed system has the advantage of increasing the retrieval accuracy and decreasing the retrieval time. The experimental evaluation of the system is based on a db1 online retinal fundus color image database. From the experimental results, it is evident that our system performs significantly better accuracy as compared with traditional wavelet based systems. In our simulation analysis, we provide a comparison between retrieval results based on features extracted from the whole image using lossless 5/3 lifting wavelet and features extracted using lossless 9/7 lifting wavelet and using traditional wavelet. The results demonstrate that each type of feature is effective for a particular type of disease of retinal fundus images according to its semantic contents, and using lossless 5/3 lifting wavelet of them gives better retrieval results for almost all semantic classes and outperform 4-10% more accuracy than traditional wavelet.
Volume: 7
Issue: 4
Page: 334-346
Publish at: 2018-12-01

Grid Interconnection of PV System Using Symmetric and Asymmetric MLI Topology

10.11591/ijpeds.v9.i4.pp1616-1623
V S Prasadarao K , V Joshi Manohar
Generally, PV cell converts sunlight into electricity in the form of dc. Integration of PV system with the existing grid requires dc-ac conversion. This conversion is possible with the help of a dc-ac converter known as an inverter. Among all types of the inverter, multilevel inverters (MLIs) are playing a major role with all their major privileges like High power quality, low distortion, less blocking voltages for switching devices. Conventional multilevel inverter topologies such as diode clamped, flying capacitor and cascaded MLIs are having so many disadvantages. One of the common disadvantage among all the conventional MLIs is the requirement of more number of power electronic components as the level of the output voltage increase. To reduce the power electronic components this paper proposes a multilevel inverter topology in symmetrical and asymmetrical configuration. The proposed MLI uses 12 switches and 19 diodes which are very less compared to conventional MLI topologies for generates nine and thirteen level output voltages. Comparison between presented MLI topology and conventional MLI topologies is presented in this paper. Finally, the proposed MLI whose input is fed from the PV system is integrated into the grid. The proposed concept is validated by using the MATLAB/SIMULINK software and the appropriate results are presented in this paper.
Volume: 9
Issue: 4
Page: 1616-1623
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

Five-Level Single Source Voltage Converter Controlled Using Selective Harmonic Elimination

10.11591/ijeecs.v12.i3.pp924-932
Ibrahim Haruna Shanono , Nor Rul Hasma Abdullah , Aisha Muhammad
The paper presents a 5-level cascaded H-bridge voltage source inverter. The converter topology composed of two-cascaded H-bridge modules connected in parallel and powered by a single DC source. The benefit of this topology in comparison with the conventional H-Bridge configuration is that it uses single input DC source instead of two to achieve the same output steps/levels. Selective Harmonic Elimination (SHE) is the modulation technique employed. The generated non-linear transcendental equations are solved using an optimised Genetic algorithms to find the switching angles. This property makes the topology and the control function suitable for three phase applications where triplen harmonics are said to cancel out at the line-to-line voltages. This concept of SHE modulation extends the value of the filter cut-off frequency, which translates to smaller sized filter, compact cooling system and reduced system weight. This advantage makes the topology attractive to automotive and renewable energy applications. The topology was simulated using PSIM software.
Volume: 12
Issue: 3
Page: 924-932
Publish at: 2018-12-01
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