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Recent Papers

Physical and Cyber Crime Detection using Digital Forensic Approach: A Complete Digital Forensic Tool

Criminalization may be a general development that has significantly extended in previous few years. In order, to create the activity of the work businesses easy, use of technology is important. Crime investigation analysis is a section record in data mining plays a crucial role in terms of predicting and learning the criminals. In our paper, we've got planned an incorporated version for physical crime as well as cyber crime analysis. Our approach uses data mining techniques for crime detection and criminal identity for physical crimes and digitized forensic tools (DFT) for evaluating cybercrimes. The presented tool named as Comparative Digital Forensic Process tool (CDFPT) is entirely based on digital forensic model and its stages named as Comparative Digital Forensic Process Model (CDFPM). The primary step includes accepting the case details, categorizing the crime case as a physical crime or cybercrime and sooner or later storing the data in particular databases. For physical crime analysis, we've used k-means approach cluster set of rules to make crime clusters. The k-means method effects are a lot advantageous by the utilization of GMAPI generation. This provides advanced and consumer-friendly visual aid to k-means approach for tracing the region of the crime. we have applied KNN for criminal identification with the help of observing beyond crimes and finding similar ones that suit this crime, if no past document is discovered then the new crime sample are introduced to the crime dataset. With the advancements of the web, the network form has become much more complicated and attacking methods are furthermore than that as well. For crime analysis, we're detecting the attacks executed on a host system through an outside the usage of assorted digitized forensic tools to produce information security with the help of generating reports for an event which could need any investigation. Our digitized technique aids the development of the society by helping the investigation businesses to follow a custom-built investigative technique in crime analysis and criminal identification as opposed to manually looking the database to analyze criminal activities, and as a result, facilitate them in combating crimes.

Published by: Dr. Nilakshi Jain, Neha Bhanushali, Sayali Gawade, Gauri Jawale

Author: Dr. Nilakshi Jain

Paper ID: V3I1-1362

Paper Status: published

Published: February 20, 2017

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Smart Group-Based Work in Cognitive Radio Network

In this paper, consider the multiple channels and group-based cognitive radio network, the secondary users having heterogeneous sensing ability in terms of high accuracy for sensing. We use cooperative spectrum sensing (CSS) scheme for cooperating secondary users in multiple workgroups such that different work group is responsible for sensing different channel. The group-base CSS scheme use in workgroup we share the channel in same cooperating users are in multiple rounds.In this work, we propose adaptively assigning that the heterogeneous Co-operating secondary users to different groups to maximize the throughput efficiency while maintaining a predefined sensing accuracy. In Cognitive Radio Network is detected by channel are use or not, if not the avoid are there but sometimes the lot of constraints & challenges, also issues are there it get the amount of busy server. The PU users get not possible to provide network then use smartly SU.It provides a network to group-based with the help of different sensing round. The Heterogeneous group based channel shares CSS scheme. It is Adaptive Secondary User’s solve problem about Heterogeneous Group user and achieves that the maximize throughput efficiency & low computational complexity significantly that can be as compared with existing non-adaptive assignment and sequential CSS scheme.

Published by: Aniket Nale, Dhaigude N. B

Author: Aniket Nale

Paper ID: V3I1-1361

Paper Status: published

Published: February 20, 2017

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Preliminary Studies on Antidiabetic, Antimicrobial and Antioxidant Activities of Rare Medicinal Plant Epaltes Divaricata (Linn.)

Pharmaceutical industries are still in the hunt of effective scavengers for free radicals from the unexplored medicinal plants. About 80,000 species of plants are utilized for treating various diseases in different systems of Indian medicine. Many pharmaceutical companies giving importance in plant-derived drugs mainly due to the current widespread belief that 'Green Medicine' is safe and more dependable than the costly synthetic drugs, which have adverse side effects. The objective of the study is isolation of phytochemical active constituents, antidiabetic, antimicrobial and antioxidant activities of the rare antidiabetic medicinal plant Epaltes divaricate (Linn.) since the selected plant has varied medicinal properties used in Ayurveda. This valuable plant is used in traditional ayurvedic medicine to alleviate jaundice, diabetes mellitus, urethral discharges and acute dyspepsia. It is also regarded as a diaphoretic, diuretic and a stimulating expectorant. The methanol extract of Epaltes divaricate L. showed excellent antimicrobial activity against bacteria and fungi. Phytochemical analysis was carried out for the same extract by two different standard methods and which confirmed the presence of steroids, triterpenoids, and phenolic compounds. Decreasing of postprandial hyperglycemia is a therapeutic approach for treating diabetes mellitus. This can be achieved in current trends through the inhibition of carbohydrate hydrolyzing enzymes such as alpha-glucosidase and alpha amylase. Agents with α-amylase and α-glucosidase inhibitory activity are very useful as oral anti-hypoglycemic agents for the control of hyperglycemia in patients who have diabetes mellitus. In this study, the methanol extract exhibited above 50% of inhibition in all standard concentration.

Published by: R. Vijayaraj

Author: R. Vijayaraj

Paper ID: V3I1-1357

Paper Status: published

Published: February 17, 2017

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Investor’s Perception on Foreign Direct Investment (FDI) in Stock Market a Study with Special Reference to Chennai City

The paper puts light on our foreign direct investment schedule in stock exchanges, an overall approach to understand what investors think about it and how they react to it with regard to their investment criteria, whether they feel it is safe and profitable to invest in an MNC over a domestic concern or allowing more foreign concerns to establish themselves here would prove beneficial to the concerns of our country and would grow leaps and bounds.

Published by: F. Asiya Khilji

Author: F. Asiya Khilji

Paper ID: V3I1-1356

Paper Status: published

Published: February 17, 2017

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A Sociological Study of Secular Principles of Murughamat of Chitradurga

Sri Jagadguru Murugharajendra Brihanmath is an outstanding institution in Religious History of Karnataka. The Math is situated on the western side of Chitradurga in a beautiful and calm location. With a celebrated tradition of more than three centuries. The Math, engaged itself in social, religious, educational and cultural activities, is rendering a yeoman service in the development of the state. Thus it is a great asset of the country and hence has acquired a high place. Though it is called in several ways live Murige Math, Muriga Math, Murugha Math, Vishala Math, Maha Math, etc., it is popularly known as Murugi Math. We affirm humanism as a realistic alternative to theologies of despair and ideologies of violence and as a source of rich personal significance and genuine satisfaction in the service to others

Published by: Ananda .S

Author: Ananda .S

Paper ID: V3I1-1355

Paper Status: published

Published: February 16, 2017

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Stabilization of Power System using Artificial Intelligence based System

This paper reviews limitations of traditional control system and modern control system controllers, which are overcome to some extent using artificial intelligent techniques, such as ANN, Fuzzy Logic, Expert System, Particle Swarm Optimization, Genetic Algorithm, etc. The review shows that efforts are made towards Power System Stabilizer based on Artificial Intelligent Techniques, which will give a positive impact on the system stabilities and improve system performances.

Published by: Mr. Piyush Agnihotri, Mr. Jitendra Kumar Dwivedi, Dr. Vishnu Mohan Mishra

Author: Mr. Piyush Agnihotri

Paper ID: V3I1-1354

Paper Status: published

Published: February 16, 2017

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