(An ISO 9001:2008 Certified Online Journal) ISSN:2455-9660


Volume 03 Issue 06 (June-2018) | IJERAS

Title: Security and Trust for Online Banking Services in Real World

Authors: Sarjiyus O. & Asua, W.

For Abstract: Click Here
A research on Building Security and Trust for Online Banking Services in Real World  sought  to address the problem of trust and security facing Online banking today. As the vast majority of customers may be concerned about the safety of their transactions they usually lose trust in the web fearing that their transactions and credentials might not be safe due to the increasing number of online Internet attacks. A new framework implemented using Java script for processing online banking transactions was presented in order to increase Trust and Security over the existing models. Further, the framework allows customers and banks to authenticate each other and sign processed transactions Online. From the results, the new framework also solves the issue of authentication, confidentiality, integrity and non-repudiation, through the use of an integrated three-tier, trusted and secure channel. In addition to the creation of a secure channel between client’s computers and the bank’s server, a secure algorithm that would be suitable for clients’ needs was implemented. Thus, the secure online transaction model was recommended for banking services as it was found capable of building client trusts.

Page 1-5


Title: A Comparative Study Between two PI Controllers for Greenhouse System

Authors: Faten Gouadria, Lassaad Sbita

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This work develops a solution for greenhouse climate control employing a comparison between a classic Proportional Integral (PI) controller and a PI tuning with PSO algorithm. Knowing that the greenhouse model has a high strong coupling and non-linearity, a feedback-feedforward linearisation and decoupling method employing measured disturbances is used. The proposed tuning controller is designed Very carefully. The comparison between the two controllers is made in terms of several performance criteria like settling time, peak overshoot and rise time. In addition to the responses due to step input. Results for various processes show that the tuning PSO-PI using in those simulations has a perfect performance.

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Title: Vector Control of Six-Phase Induction Motor Using the PI And IP Controllers

Authors: Khelif Houssem Eddine, Ben hamed Mouna, Dhaoui Mehdi, Sbita Lassaad

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This paper focuses on six-phase induction motor (SPIM) speed control with the use of the vector control method based on the comparison of performances comparison between two regulators: integral proportional (PI) and integral proportional (IP). The approach of these regulations is possible to obtain high performance in terms of fast dynamic speed response for various robustness test conditions. Simulation of the six-phase induction motor control where the speed signal obtained is tuned by using PI controller are presented and compared with the IP controller. It is seen that the performance of the motor has improved when PI is used instead of the IP controller.

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Title: Intelligent Control and Fault Classification for Photovoltaic System

Authors: Amami Samah, Bhnhamed Mouna And Sbita Lassaad

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The  diagnosis  of   the   photovoltaic   (PV)   plants is requisite even more in order to maintain the optimum performance. It has become a vital field that attracts the attention of many researchers. This work handles the artificial neural network-based fault detection and classification method for PV system. Foremost, we have employed an artificial neural network (ANN) for the fault diagnosis, which provides the recognition of the faulty operation as well the normal operation. The studied system proposed also a fuzzy maximum  power  point tracking  (MPPT)  algorithm,  which  is  the  main  factor  of the power management system in  the  solar  energy  field.  The design of  fuzzy  logic  MPPT  algorithm  is  deployed  using a boost converter. The simulation has been accomplished in MATLAB/SIMULINK software. First tests were carried out and five different faults have been implemented in the PV system.  We used the neural network fitting tool to build and train the network and evaluate its performance using the mean square error (MSE) and regression analysis. The proposed technique has proved effective in terms of results. Indeed,  results  show that the system can recognize and classify precisely the different faults introduced in the PV system.

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Title: New Innovation for Web Crawler to Find out Deep Web by Using Data Mining

Authors: Abhishek Bangar, Kunal Kore

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The web crawler is a program that automatically crawls around the web pages and sites in order to generate the search engine index. But now a days the crawlers cannot able to crawler most of the part of web. The unknown part of web which is hidden behind the interfaces is called as a deep web. Deep web is also known as invisible web. About 96% of data is hidden behind the deep web interfaces. Hence the challenging task is to retrieve that data efficiently at low cost. The aims of proposed system are to maintain the accuracy and relevancy while retrieving deep web interfaces. Focused crawling strategies are used to accomplished desire goals. Most of the crawlers can search whole search space for retrieving the accepted result related to the query instead of that the algorithm used in this system efficiently selects only possible candidates.

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Title: Comparison of MPPT Algorithms for PV System Using P&O Method and Fuzzy Logic

Authors: Ounis Rabiaa, Ben Hamed Mouna, Sbita Lassaad

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In this paper, a mathematical model of photovoltaic PV system feeding resistive load is first established. Due to the nonlinear characteristic of the photovoltaic system, it is necessary to use maximum power point tracking (MPPT) algorithms. In this paper we propose two methods of maximum power point algorithms. The Perturbe and Observe P&O is widely used in many works. It provides fast response against climatic variation. However, the operating point still oscillates around the MPP in steady state. On the other hand, FLC controller alleviates the oscillations phenomenon and provides a robust behavior against climatic variation. A detailed comparison between the P&O and FLC controllers was presented in this work. The simulations results show that the FLC controller alleviates the oscillations phenomenon and provides a robust behavior against climatic variation

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