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Research Paper

Video Based Face Detection Process

The project entitled “Movie Character Discovery” is used to identify movie characters in videos. Automatic face identification of characters in movies has drawn significant research interests and led to many interesting applications. It is a challenging problem due to the huge variation in the appearance of each character. Although existing methods demonstrate promising results in clean environment, the performances are limited in complex movie scenes due to the noises generated during the face tracking and face clustering process. In this paper we present two schemes of global face-name matching based framework for robust character identification. The contributions of this work include: Complex character changes are handled by simultaneously graph partition and graph matching. Beyond existing character identification approaches, we further perform an in-depth sensitivity analysis by introducing two types of simulated noises. The proposed schemes demonstrate state-of-the-art performance on movie character identification in various genres of movies.

Published by: S. P. Deepika, M. Ananthi, P. Rajkumar

Author: S. P. Deepika

Paper ID: V4I2-1160

Paper Status: published

Published: March 9, 2018

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Research Paper

E-Payment System for Municipality

Local bodies are classified in to municipal co-operation, municipalities of different grades depending upon the population and income of the urban local body. Local bodies like municipalities needs to collect different kinds of information from citizens for applications like marriage, death, birth, ration card etc. But it’s difficult to store all information and it will take long time for processing.To solve this problem we have to develop a web based system “E-Payment System for Municipality”. By using this system which we can collect tax information from different authorities based on their house num and house owner name. Data are stored in databases and the user has a unique user-id and password. The user can login and check the data.

Published by: Abhirami TK, Dr. A. V. Senthil Kumar

Author: Abhirami TK

Paper ID: V4I2-1175

Paper Status: published

Published: March 9, 2018

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Review Paper

IOT Based Smart River Monitoring System

The project involves the approach of Internet of Things (IoT) which will be done using a microcontroller. We are using customized sensor’s node for monitoring the parameters of water like pH, turbidity, temperature, oxidation reduction potential, Dissolved Oxygen, industrial wastes, hospital waste etc. The information is going to be level headed constantly and this information will be consigned to the database using TCP protocol and if the tolerable limit is exceeded, a warning will be notified to authorities by IFTTT protocol and twitter API push notification so that the necessary actions are taken

Published by: Dilshad Ahmad, Abhishek Kumar

Author: Dilshad Ahmad

Paper ID: V4I2-1158

Paper Status: published

Published: March 7, 2018

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Research Paper

Condition Monitoring of Ball Bearings

Condition monitoring is gaining importance because of its advantages over conventional maintenance methods. Even though it is little costly, It is feasible especially in continuous process industries, where process costs are very High. In this paper, an attempt is made to monitor bearing faults. In condition monitoring through vibration analysis, it is possible to predict different defects of different characteristics and would reveal the details of defects and inaccuracies so that it could be minimized, which leads to increase the plant efficiency. Condition monitoring through vibration analysis is an online technique, where we need not stop the machine for diagnosing the fault.

Published by: G. Venkata Kishore Rakshit Raju, M. Sree Veena, M. C. S. Reddy

Author: G. Venkata Kishore Rakshit Raju

Paper ID: V4I2-1167

Paper Status: published

Published: March 6, 2018

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Research Paper

APDA with Data Collective: Prevent Attacks in VANET

Vehicular ad hoc networks (VANETs) are usually a future engineering science that is certainly getting impetus in recent years. Which can be why the actual community attracts increasingly more interest from both equally manufacture and academe. Due to the minimal data transfer rate of cellular connection method, scalability is often a significant problem. Facts corporate is usually a solution to this kind of. The goal of data collection is to join the particular messages as well as disseminate this specific inwards much larger area. Although performing group integrity from the information is not easily approved along with assaults might be doable. Consequently collective has to be risk-free. However are several studies addressing VANETs, they just don’t focus on security troubles especially in the data group.

Published by: Shweta Gupta, Arpit Gupta

Author: Shweta Gupta

Paper ID: V4I2-1166

Paper Status: published

Published: March 6, 2018

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Research Paper

SeriNutrid- A Balanced Nutrient Diet for Silkworm (Bombyx mori L) Chawki Rearing

Silkworm Bombyx mori L is a highly sensitive lepidopteron insect and responds sharply to changes in the feed quality. In Silkworm rearing, Chawki is considered as one of the important stages from which a successful cocoon crop is ensured. Rearing of silkworm on SeriNutrid Semi-synthetic diet) containing balanced nutrition, during the chawki stage ensures a successful and economically viable cocoon crop. Chawki rearing with SeriNutrid also means hygienic rearing, avoiding loss of crop due to missing larvae & minimizing disease outbreak and reduction in feeding frequency. This hypothesis is tested by extensive trial in the field by promoting chawki (Cake- Mari) obtained by feeding larvae on SeriNutrid cake. Weight of cocoon per 100DFL recorded 3-5% more than leaf chawki rearing and showed better quality of the cocoon, bringing in 5-10% higher price compared to cocoon obtained from leaf fed chawki.

Published by: Dr. Mousumi Mondal, Bharat Tandon, Radhakrishna P. M

Author: Dr. Mousumi Mondal

Paper ID: V4I2-1143

Paper Status: published

Published: March 6, 2018

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