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Research Paper

Audio-Visual Emotion Recognition using 3DCNN and DBN Techniques

Emotion recognition is difficult because of the emotional hole amongst emotions and varying audio-visual highlights. Propelled by the effective element learning capacity of profound neural networks, this system proposes to connect the emotional hole by utilizing a hybrid deep replication, which first creates varying audio-visual fragment highlights with Convolutional Neural Networks (CNN) and 3DCNN, at that point wires varying audio-visual section includes in a Deep Belief Networks (DBN). The point of this postulation work is to research the algorithm of discourse Emotion recognition utilizing MATLAB. Right off the bat, five most generally utilized highlights are chosen and separated from discourse flag. After this, measurable esteems, for example, mean, change will be gotten from the highlights. This information alongside their related Emotion target will be bolstered to MATLAB neural network apparatus to train and test to make up the classifier. The general framework gives a solid execution, arranging effectively over 82% discourse tests after appropriately preparing.

Published by: S. Kumari, U. Kowsalya, R. Preethi, R. Theepa, J. Edward Paulraj, S. JeyaAnusuya

Author: S. Kumari

Paper ID: V4I2-1374

Paper Status: published

Published: March 26, 2018

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Review Paper

Home based Security System for Intruder detection using GSM module and PIR Sensors

The paper talks about the improvement of a home security and checking framework that works where the conventional security frameworks that are basically worried about controlling thievery and social occasion confirm against trespassing fall flat Home security is getting to be fundamental as the potential outcomes of interruption are expanding step by step. Parcel of Security organizations are accessible towards shielding house from getting vandalized or something like that. Yet at the same time there is no much assurance that the house be sheltered or regardless of whether the house vandalized, security staff protected and sound to answer to police close-by. This prompts property misfortune and harm. Parcel of research been completed utilizing sensors like PIR, Sensor Camera, GSM towards identifying the gate crasher at home.

Published by: Srieesh Padukone, Mohit ksh, D. Dhilip, Vineeth. V. Warrier, S. P. Maniraj

Author: Srieesh Padukone

Paper ID: V4I2-1380

Paper Status: published

Published: March 26, 2018

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Review Paper

Catch Me If You Can – IoT based System

Catch me if you can is a project with the main idea to protect the lives of the fishermen by ensuring their safety when they are traveling into the sea for fishing. We propose to track and monitor them using a different approach. Most of the fishermen cross the borders knowingly. So this cannot be prevented. Instead, we can have a single point check to make sure the required devices are in their possession and some other things can be checked by scanning them using SCANDIT SDK which is integrated to a smartphone to ensure fishermen safety as well as national security. Also, we will provide an IOT device so that we can track the location of their boats and send alerts to them who may cross the border unknowingly through which may save them from getting caught by neighboring country's coast guards.  

Published by: Dr. S Padma Priya, Hemanth Krishna S P, A L A Vishnu Sai, B V Rama Pulla Rao

Author: Dr. S Padma Priya

Paper ID: V4I2-1328

Paper Status: published

Published: March 26, 2018

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Review Paper

Time Series Forecasting using R

R provides many features to analyze and visualize time-series data. Time series modeling and forecasting are used for various business applications, such as exploring sales patterns and trends, predicting future sales and detecting unusual phenomena. This allows companies to reduce risk, increase profit and achieve cost-effectiveness. Several machine learning algorithms exist that can be used for forecasting, some of which already exist in the forecast package in R. In this paper, we aim to explore some of the commonly used techniques for predictions.  

Published by: Pankaj Garg, Harshit Arora, Rishabh Gambhir

Author: Pankaj Garg

Paper ID: V4I2-1359

Paper Status: published

Published: March 26, 2018

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Research Paper

Device Control based on Wireless Virtual Reality Technique using Artificial Intelligence

Current technology and trend have made designing and implementation of embedded systems for home automation has increased the capabilities and features. There is a demand for smart home automation access via virtual reality. The proposed system allows the owner to access via virtual reality and control the home appliances. This is very easy to access. In this paper, we present the design and implementation of a low cost but yet flexible, feasible and secure virtual reality-based home automation system. In our proposed system we will try to control light, motor and 230v supply.This work also demonstrates the use of virtual reality in the context of the appliance control. In this project, we have used image processing techniques for image acquisition, pre-processing, image segmentation and feature extraction. The user commands are captured by the camera and transmitted through wireless communication to the receiver end. Thus our project has a huge scope for training and development business using a virtual image and setting up a virtual environment.

Published by: J. Dinijamma, V. Elakiya, K. Divya, S. Anandhi, S. Jeya Anusuya, G. Bhavani

Author: J. Dinijamma

Paper ID: V4I2-1372

Paper Status: published

Published: March 26, 2018

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Research Paper

Importance of Plate Waste Assessment in a Hospital Kitchen

Plate waste assessment is a methodology used in the hospital inpatient’s kitchen to find out the amount of food that remains uneaten on the patients’ plate after a meal. This article describes the importance of performing plate waste audits in hospitals and how a plate waste audit can be done. This article also explains on the key personnel’s who can significantly contribute to plate waste reduction in a hospital kitchen set up.

Published by: S. Ramesh, B. Manimegalai

Author: S. Ramesh

Paper ID: V4I2-1383

Paper Status: published

Published: March 26, 2018

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