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Research Paper

Smart electric fence the WALL-E

People living in rural areas of Sri Lanka are facing difficulties as wild elephants who in forest reserves entering villages. These wild elephants attack people and destroy the properties of villagers. The dump yards, garbage management areas and cultivated lands are attracting elephants for food. Elephants enter into the village from the nearby forest in search for food. The government has created the electric fence to prevent elephants from entering the village. Elephants break the electric fence and enter the village making these efforts useless. Elephant attacks have increased over the years killing humans as well as elephants. This system can predict and take precautionary action in order to minimize elephant attacks. Our systems are composed of automotive electric fence using light sensor and Thermal sensor. The light sensor will activate the fence when the sun goes down and the thermal sensor will detect the elephant and activate the fence during the daytime. When the elephant breaks the fence and enter, laser sensor will activate the siren. By geo point location system (GPS) technology, control room officer can view the exact place where the fence was breached. Data mining was used to predict wildlife officers about the areas where attacks are happening mostly. This system is beneficial for officers as well as villagers to prevent elephant attacks and save human and animal lives.

Published by: M. N. Simsar Muhammad, H. P. U. E. Pathirana, A. D. W. P. Aluthge, K. K. M. Sankalpa, Nipunika Vithana

Author: M. N. Simsar Muhammad

Paper ID: V4I3-1801

Paper Status: published

Published: June 11, 2018

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Research Paper

Improving the throughput of IoT devices for smart cities

Device-to-Device (D2D) communications and applications are expected to be a significant part of the Internet of Things (IoT). However, conventional network gateways reported in the literature are unable to provide sustainable solutions to the challenges posed by the massive amounts of D2D communications requests, especially in the context of the IoT for smart cities. In this paper, we present an admission control model for D2D communications. The model differentiates all D2D requests into delay-sensitive and delay-tolerant first and then aggregates all delay-tolerant requests by routing them into one low-priority queue, aiming to decrease the number of requests from the various number of devices in the IoT for smart cities. Also, an admission control algorithm is devised on the basis of this model to prevent access collision and to improve the quality of service. Performances are evaluated by the network calculus, numerical experiments, and simulations show that the proposed model is feasible and effective.

Published by: K. Ramalingham, Dr. P. Murugeswari

Author: K. Ramalingham

Paper ID: V4I3-1784

Paper Status: published

Published: June 9, 2018

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Others

Key to the future

To solve the current drawbacks being experienced by the current Lock-and-Key system by implementing the IoT technology and thereby modeling a Key which can be implemented alongside all the lock systems we use daily, with the help of biometrics being the singularity for uniqueness. Also making appropriate changes to the Lock to work cooperatively with the Key being made, satisfying the ideology of IoT technology of Unique Identity, being able to be connected to the Internet and communicate over it, and has to be remotely accessible.

Published by: Tanveer Pasha, Mohammed Omar, Omar

Author: Tanveer Pasha

Paper ID: V4I3-1828

Paper Status: published

Published: June 9, 2018

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Research Paper

Sentiment analysis on Twitter

With the rise of social networking epoch, there has been a surge of user-generated content. Micro-blogging sites have millions of people sharing their thoughts daily because of its characteristic short and simple manner of expression. We propose and investigate a paradigm to mine the sentiment from a popular real-time micro-blogging service, Twitter, where users post real-time reactions to and opinions about everything. In this project, we expound a hybrid approach using both corpus-based and dictionary-based methods to determine the semantic orientation of the opinion words in tweets. We know that there are almost 111 microblogging sites. Microblogging websites are nothing but social media site to which user makes short and frequent posts. Twitter is one of the famous microblogging services where the user can read and post messages which are 148 characters in length. Twitter messages are also called as Tweets. We will use these tweets as raw data. We will use a method that automatically extracts tweets into positive, negative or neutral sentiments. By using the sentiment analysis the customer can know the feedback about the product or services before making a purchase.

Published by: Shruti Vinay Narkhede, Rohini Pramod Mahajan, Sayali Sanjay Nemade, Shivani Manoj Badgujar

Author: Shruti Vinay Narkhede

Paper ID: V4I3-1816

Paper Status: published

Published: June 9, 2018

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Research Paper

FAUX leather exploration: A creative approach

Fashion conscious consumers demand updated and up style look for themselves. They not only look at the functions of the product but also the aesthetics according to the current fashion. They are now more conscious of what they buy, about the style, visual appearance, etc. The use of faux leather instead of natural leather can cater the demand of fashion products as well as will also take care of the environmental, economic and religious concerns of the consumers. This research is on the utilization of faux leather as the design element for the apparels. Using different techniques, innovative designs collection is developed. Further, the selected techniques have been applied as the surface enhancement on Indo-western outfits.

Published by: Simran Kaur, Dr. Amita Walia, Deepika Birhman

Author: Simran Kaur

Paper ID: V4I3-1805

Paper Status: published

Published: June 9, 2018

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Thesis

Clustering technique in WSN using PSO algorithm

The lifetime maximization of the network is taken into account because of the major task while deploying a WSN. Some sort of protocols was designed to satisfy the necessity. Clustering technique is taken into account collectively of the necessary technique for the topology control to attain the target. This paper focuses on the lifetime maximization of the nodes by using Particle Swarm Optimization (PSO) algorithm. The proposed protocol shows higher ends up in a well-balanced clustering system that improves the network lifetime. Analysis, MATLAB Simulation, and the Experimental result were illustrated in this paper.

Published by: Mariyakkutty V V, Ajit Joseph

Author: Mariyakkutty V V

Paper ID: V4I3-1806

Paper Status: published

Published: June 9, 2018

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