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Research Paper

Fynbot- Artificial intelligence system for personal expense management

A financial Chatbot is one way for banks, financial service vendors, and other financial organizations to connect with customers on a more personal level. It is meant to simulate a conversation with another human. The user can type a question into a message box, and the Chatbot comes up with the answer instantly. A chat-bot is a conversational agent that can interact with human’s turn by turn using natural language. In the world of personal finance, applications are being used by users to answer questions about bank balances, recent transactions, and spending trends which are controlled by operations that as simple as text input and click events. The main objective of this project is to build a Chatbot that enables users to micromanage their expenses in a fast and better way. With the combination of NLP techniques, machine learning techniques and certainly advanced algorithms based on AI we can solve the problem of building a Chatbot to manage personal expenses of an individual. The platform will generate reports and analyze user transaction data in order to manage their expenses and regulate the usage according to budget constraints.

Published by: Varisha Ashraf, Ankit Jain, V B Sree Kumar, Varun Patwari, Dr. Rajesh S L, Chandrakanta Saini

Author: Varisha Ashraf

Paper ID: V4I3-1575

Paper Status: published

Published: May 25, 2018

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Review Paper

Impact of climate change: A curse to the shrimp farming in India

Aquaculture has been spanning one of the fastest-growing animal food-producing sectors across the globe. Humans and fish have been inextricably linked for millennia, not only because fish is an important source of animal protein, providing many millions of livelihood means and food security, but also from an evolutionary viewpoint. In 2008, aquaculture accounted for 46 percent of the global food-fish supply, and per capita supply from aquaculture increased from 0.7 kg in 1970 to 7.8 kg in 2008, an average annual growth rate of 6.6 percent (FAO 2010). In developing countries, the sector contributes significantly to livelihoods and food security, especially in the Asia-Pacific region.

Published by: Amit Kumar Mohanty

Author: Amit Kumar Mohanty

Paper ID: V4I3-1559

Paper Status: published

Published: May 25, 2018

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Survey Report

A literature survey on detecting compromised accounts on social networks

Online social networks, such as Facebook, Twitter have become one of the main media to stay in touch with the rest of the world. Over time, social network users build a trust relationship with the account they follow. Unfortunately, when control over an account falls into hands of a cybercriminal, he can easily exploit this trust to further his own malicious agenda. Moreover, the effect of an account compromise can extend well beyond the reputation of a company. This paper presents COMPA, which is designed to detect compromised accounts on online social networks. COMPA is based on a simple observation, social network users develop habit overtime and those habits are fairly stable. Compromised accounts on the online social network are detected with the help of behavioral profile of user and messages sent by him or her. Every time a new post or a message is generated, it is compared to this behavioral profile. If the message significantly deviates from the learned behavioral profile, COMPA flags it as compa. We implemented our approach in a tool called COMPA and evaluated for Twitter and Facebook in this paper. We show that our system is capable of building meaningful behavioral profiles for individual accounts and detect it and send message notification to admin, who is able to block it.

Published by: Vinod Khanapure, Amruta Ayachit, Pooja Gujanatti, Reshma Gajappanavar, Anusha Ashok Shettar

Author: Vinod Khanapure

Paper ID: V4I3-1481

Paper Status: published

Published: May 25, 2018

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Dissertations

Vehicle security using Raspberry-Pi

Recently every individual person preferring to use own vehicle for transportation rather than public transportation because of flexibility in schedule. Thefts are happening on parking and sometimes driving insecurity places like highways. Hence the security and safety become a basic necessity for the urban population and also everyone. In recent days vehicle security and accident prevention are more challenging. The proposed system gives an alarm which represents vehicle tracking and accident detection when theft and accident identifying. Raspberry-pi is the heart of the system, which is connected to any moving vehicle, these make an easy option to track any moving vehicle for that it matters in real time on Google-maps. An alert will be received to the authorized person, the vehicle will be moved to stop mode through the GSM-GPRS connected to the raspberry-pi kit which is kept on inside of the vehicle. Which consist of rasp-pi-camera, sensors, and android phone. The camera is used to take pictures when the vehicle is open or closed mode. This system helps find-out the exact location of an accident with the server and sent the information to an authorized person, give an alarm signal to save the human life. This system also detects the behavior of the driver through the sensors whether he/she drowsy/drunk, the speed vehicle is stopped. This system more securable reliable and economical.  

Published by: Pavithra .M, S. Jyothi

Author: Pavithra .M

Paper ID: V4I3-1569

Paper Status: published

Published: May 24, 2018

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Research Paper

Characteristic behaviour of crush glass fibers on the strength of concrete tile

The effect of glass fiber on flexural strength, split-tensile strength, and compressive strength was studied for different fiber content on M-20 grade concrete designed as per IS 10262. The maximum size of aggregates used was 20mm. To study the effect on compressive strength, flexural strength, split-tensile strength 6 cubes, 6 prisms and 6 cylinders were cast and tested. After that, a practical application of GFRC in the form of cement concrete tiles was taken into consideration and no special technique was used to produce these tiles. The thickness of the tiles was 20mm and maximum size of aggregates used was 8mm. The water-cement ratio was kept consistent and the admixture content was varied from 0.8 to 1.5 percent to maintain slump in between 50mm to 100mm. The size of short fibers Used was 30mm and the glass fibers were alkali resistant. The effect of these short fibers on wet Transverse strength, compressive strength, and water absorption was carried out. Six full-sized Tiles 400mm*400mm*20mm were tested and the results recorded. Pulse velocity tests were also conducted

Published by: Anil Hans, Nitin Thakur

Author: Anil Hans

Paper ID: V4I3-1561

Paper Status: published

Published: May 24, 2018

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Research Paper

Impact of knowledge sharing on the success of crisis management strategy

The aim of the research is to identify the impact of knowledge sharing on the success of crisis management strategy. The knowledge sharing was discussed through implicit and explicit knowledge. A conceptual model was presented to clarify the causal relationships between the variables, and the relationship was tested by calculating correlation coefficients and regression coefficients. The relationship of significant and high impact to the knowledge sharing in the crisis management strategy, and the declaration of implicit knowledge, as well as the distribution of explicit knowledge within the organization, enables it to build an effective crisis management strategy.

Published by: Ameera Hatif Haddawee

Author: Ameera Hatif Haddawee

Paper ID: V4I3-1555

Paper Status: published

Published: May 24, 2018

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