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Recent Papers

Evolving Cyber Security Challenges to the Smart Grid Landscape

Integrating smart solutions into the existing power infrastructure promises to offer attractive capabilities of dynamic monitoring, measuring and even controlling power flows in real time that can help identify losses and trigger appropriate technical and managerial actions to minimize the damage. With the vision of building a Smart India, Government of India’s National Smart Grid Mission (NSGM) is solely aimed at providing functional resources and financial assistance in planning and implementation of smart grids across the nation. NSGM proposes comprehensive solutions for the development, establishment, operations and management of smart grids, stipulate training & capacity building, strengthen consumer engagement and dispense funding to state-owned discus. Smart grid solutions vastly employ information technology in the underlying roots in varying forms of networking and application aspects to enable monitoring and control of the flow of electricity to end users. The extensive incorporation of information technology provides numerous benefits to the grid operations and management, such as increased visibility, predictability, in addition to the regulation of generation and demand to improve efficiency. However, this enhanced use of information technology to the grid has in parallel introduced the dimension of cybercrime to the smart grid as the grid is now constantly connected to the Internet and can be exploited by hackers by leveraging the wide array of cyber security vulnerabilities. Security of the smart grid is essential to ensure uninterrupted power supply and minimize resulting losses. Compromise of the grid may result in a huge information or business losses by the means of cyber espionage or grid collapse. An uninterrupted power supply lies at the heart of all sectors and failures to the same will result in cascading damages, compelling the establishment of robust smart grids. The paper offers insight into key cyber security threats and vulnerabilities concerning the smart grid technology and proposes protection strategies, methodologies, and technologies to safeguard the smart grid from resulting security damages.

Published by: Seema Goel, Ashish Jindal

Author: Seema Goel

Paper ID: V3I2-1523

Paper Status: published

Published: April 26, 2017

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Weighted Random Walk on PPI Network

Proteins in the same protein complexes should highly interact with each other but rarely interact with the other proteins in protein-protein interaction (PPI) networks. All interaction network weighting schemes have been proposed so far in the literature in order to eliminate the noise inherent in interactome data. Visualization representation of data visually and is an important task in scientific research. PPI are discovered using mass spectrometry, or in silico predictions tools, resulting in large collections of interactions stored in specialized databases. Using Random walk on weighted graphs for identifying the interaction easily between Protein subsets and measuring the evaluation performance of proteins, Graphs for PINs visualizing the high number of nodes and connections, the heterogeneity of nodes (proteins) and edges (interactions), the possibility to annotate proteins and interactions with biological information that enriches the PINs with semantic information, and maintained as a separate databases for easy retrieval information of proteins from various Protein databases.

Published by: Thillainayaki, M. Hemalatha

Author: Thillainayaki

Paper ID: V3I2-1521

Paper Status: published

Published: April 26, 2017

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Rural Electricity Stress Assessment for a Feeder in Maharashtra State

Rural electrification is often considered to be the spine of the rural economy of a country. Rural electrification is seen to improve farm productivity and enhance overall improvement in health and education through better employment opportunities, since rural areas traditionally depend on agriculture related income generation activities. Our study realizes the need of rural electrification and focuses on assessment of rural electricity stress. It would help us to tackle the stress on electricity consumers in villages through the analysis of certain parameters.

Published by: Arjun Makar, Shubham Garg, Amit Singh, R. M Holmukhe

Author: Arjun Makar

Paper ID: V3I2-1513

Paper Status: published

Published: April 26, 2017

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Green Energy Based Maglev Train and Power Harvesting

Magnetic Levitation is a technology that has been experimented intensely over the past couple of decades. An advanced technology also abbreviated as Maglev; defines the term “Levitation” which addresses vehicle propulsion with magnets rather than with wheels, axles, and bearings. This system provides the advantage of negligible wear and tear of mechanical parts, making the system more effective and reliable. The implementation of a large-scale transportation system using magnetic levitation not only has huge social aspect but can be economical respect to maintenance. Maglev trains are much smoother and quiet as compared to wheel trains ; moreover their non-reliance on friction means that acceleration and deceleration can surpass that of wheeled transports, and they are unaffected by weather, providing the research aspect to this paper to not only have a green energy-powered propulsion model but also to emboss energy harvesting in the system via electromotive force a term existing as “ Back EMF” in coils or electromagnetic motors.

Published by: Shubham Charde, Ankit Komawar, Tanmay Dey, Kajol Jaiswal, Deepak Khushalani

Author: Shubham Charde

Paper ID: V3I2-1503

Paper Status: published

Published: April 26, 2017

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Research Paper

Novel Technique for Workflow Computation with Ant Colony Optimization Method in Cloud Environment

Cloud computing used for task scheduling which guided by broker and compute by virtual machine , but cost of computation will increase if use random task localization and this problem exponential high when use workflow which have huge number of task with dependency, so in this paper optimize the cost and time by intelligent an colony optimization which give decision to broker.

Published by: Sakshi, Er. Amandeep Kaur

Author: Sakshi

Paper ID: V3I2-1498

Paper Status: published

Published: April 26, 2017

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Server Initiated Model Using Location Based Service

In current scenario everyone using the internet for effectuating their work uncomplicated. Location Based Service is one of the constituents of this internet world. With the comfort of location based service people chase location uncomplicatedly. But extant Location Based Service systems apply pull model or user initiated model. In the pull model, user chases their location then the user will access response but now I apply push model or server initiated model in which users will access clamant response. In the push, model server conveys to the user according to the extant location of a user. Many researchers applied many algorithms in LBS systems like RT tree algorithm but I will apply Binary search tree algorithm on the location-based service application which is convenient for the quick retort. In research work, I compare that Binary Search Tree gives us retort in less time more than other comparing technique.

Published by: Shraddha Tiwari, Dr. Pankaj Kumar, Dr. Raj Gaurang Tewari

Author: Shraddha Tiwari

Paper ID: V3I2-1465

Paper Status: published

Published: April 26, 2017

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