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Automated Performance Evaluation System

Accurately predicting student performance is useful in different contexts in universities. Educational data mining (EDM) is an emerging discipline, concerned with various approaches such as predicting student performance, Analysis and data visualization, providing feedback for supporting instructors, recommendations for students and so on that automatically extracts meaning from large data generated by or related to people's learning activities in an educational setting. For example, identifying exceptional students for scholarships is an essential part of the admissions process in undergraduate and postgraduate institutions, and identifying weak students who are likely to fail is also important for allocating limited tutoring resources. One of the biggest challenges is to improve the quality of the educational processes so as to enhance student’s performance. The results of these studies give insight into techniques for accurately predicting student performance.

Published by: Sana Akhai, Ruchi Karia, Aniket Mahadik, Akshat Shah, Manya Gidwani

Author: Sana Akhai

Paper ID: V3I2-1249

Paper Status: published

Published: March 20, 2017

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Effect of Microwave (Mw) Treatments of Resistant and Native Starches

Instead of consumption of traditional natural foods the refined foods containing high calories are consumed everyday leading several diseases. The consumption of high amount of resistant starches may improve glucose and lipid metabolism can reduce the risk of several diseases. The main aim of the study was to examine the effect of microwave (MW) treatment of resistant and native starches as in present day there is an increasing trend to use microwave in food preparation. The objective of the study was to examine the effect of microwave (MV) treatment on resistant and native starches. Two samples of untreated native starches and resistant starches were microwave treated according to 2^2 experimental design. Result shows that the cooking step affect significantly higher degradability in wheat, maize and Rs4 stanches compared to RS2 starch. Different types of RS behave similarly in case of dry heat treatment more over, the more intense moisture heat treatment cause different changes in the properties of RS.

Published by: Asha Kumari

Author: Asha Kumari

Paper ID: V3I2-1251

Paper Status: published

Published: March 20, 2017

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A Review on Improve Energy Efficiency in Cognitive Radio Ad Hoc Networks by Selecting Secondary User

Wireless networks combining the advantages of both mobile ad-hoc networks and infrastructure wireless networks have been receiving increased attention due to their ultra-high performance. Users have the capability to sense available spectrum in Cognitive Radio Networks (CRNs).Users can opportunistically access to the spectrum. Paper proposed for energy consumption for CRNs, Which is higher in traditional Cognitive Radio Ad Hoc Network (CRAHNs). Users mainly depend on spectrum access so the requirement of network architecture is user spectral. In the proposed network architecture, only parts of user’s are equipped with Cognitive Radio (CR) module. Additionally, user management done, a minimum number of users are selected to sense available spectrum, which aims at reducing the energy consumption further. The minimum number of users selection problem is formulated as an optimal routing algorithm problem under the constraints of energy efficiency and the real-time available spectrum information. Hence, a distributed optimal routing algorithm is proposed to calculate the optimal solution. The optimal routing algorithm in the proposed network architecture outperforms and traditional Cognitive Radio Ad Hoc Networks in energy efficiency.

Published by: Raghunath K. Borkar, Prof. Sheshnarayan Ghungrad

Author: Raghunath K. Borkar

Paper ID: V3I2-1246

Paper Status: published

Published: March 20, 2017

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Simulation of MPPT Based Multilevel CUK Converter

Renewable energy sources are now a day’s becoming increasingly prevalent in distribution and generation systems. Most of the nations are installing significant solar power capacity in their grids as a supplement or alternative to other power sources. Photovoltaic (PV) energy is one of the most important energy resources since it is clean, pollution free, and endless. Maximum Power Point Tracking (MPPT) is used in photovoltaic (PV) systems to maximize the photovoltaic output power, irrespective the variations of temperature and radiation conditions. This project presents P V module with Multilevel CUK converter for electrical applications, especially for dc load application. In this project, the Multilevel CUK converter and PV system is simulated AND hardware and results are presented.

Published by: Nikunj B. Patel

Author: Nikunj B. Patel

Paper ID: V3I2-1247

Paper Status: published

Published: March 20, 2017

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Research Paper

Power System Loss Minimization Using Flower Pollination Algorithm(FPA)-A Comparative Study

There are various methods has been attained by integrating Distributed Generation (DG) in distribution systems. These methods help to reduce power losses and improve voltage profile of the system. Desirable results can also be achieved and enhanced if optimally sized DGs will be located in the systems. This paper presents a distribution generation (DG) allocation strategy to improve node voltage and power loss of radial distribution systems using flower pollination algorithm (FPA). The main objective is to minimize active power losses while keeping the voltage profiles in the network within specified limit.

Published by: Amandeep, Shavet Sharma, Akshay Rana

Author: Amandeep

Paper ID: V3I2-1245

Paper Status: published

Published: March 20, 2017

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Research Paper

Stochastic Economic Load Dispatch using Pareto Distribution with Multiple Fuels Local Convex by Bacterial Foraging Optimization

In this paper, Stochastic Economic Load Dispatch problem with Multiple Fuels is solved using Pareto distribution with local convex optimization by bacterial foraging approach. Bacterial foraging optimization is swarmed intelligence technique used to solve the problem of the power system. The algorithm is based on the group foraging behavior of Escherichia coli (E-coli) bacteria present in the human intestine. This social behavior of E-coli bacteria has been used to solve optimization problems. This paper presents a BFO to solve Economic load dispatch (ELD) problems. The result is obtaining from test system with ten generating units. In this paper performance of the BFO is compared with Particle swarm optimization (PSO). The result clearly shows that the proposed method gives a better optimal solution as compared to the other methods.

Published by: Akshay Rana, Shavet Sharma, Amandeep

Author: Akshay Rana

Paper ID: V3I2-1244

Paper Status: published

Published: March 20, 2017

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