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Recent Papers

IOT Based Water Management System for Smart City

During the past decade, water needs have increased unpredictably in India. Increasing demand of water supply has become a major challenge for the world. Wasteful usage of water, climatic changes and Urbanization has further depleted the resource. Conservation and management of the resource must be given utmost importance. In this paper, we present an IoT design for water monitoring and control approach which supports internet based data collection on real time basis. The system addresses new challenges in the water sector -flow rate measuring and the need for a study of the supply of water in order to curb water wastage and encourage its conservation. We also measure the quality of water distributed to every household by deploying pH and conductivity sensors. The traditional water metering systems require periodic human intervention for maintenance making it inconvenient and often least effective.For shortcoming of the existing models for a ubiquitous usage of wireless systems for smart quality monitoring and communicate data wirelessly.

Published by: Patawala Amatulla Hakimuddin, Bansode Navanath Pandurang, Bhong Yogesh .P, Zadbuke Ashwini .S

Author: Patawala Amatulla Hakimuddin

Paper ID: V3I2-1252

Paper Status: published

Published: March 20, 2017

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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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