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Monitoring healthcare system using IoT

The project looks at the construction of a simple device that will be capable of transferring the data of a patient's vital signs to a remote device wirelessly. The necessity of this project is to alleviate the difficulty that is encountered by medical experts in monitoring multiple patients simultaneously. The project will enable them to observe patients without having to be physically present at their bedside, be it in the hospital or in their home. A patient's body temperature, heart rate, and blood pressure are transferred wirelessly through an agent such as Bluetooth technology and stored in a database using SQL yag. The interface between application and database is web service using NetBeans java servelets

Published by: Chinta Prudhvi Kiran, Mandava Omkar Chowdary, Dr. A. Murugan

Author: Chinta Prudhvi Kiran

Paper ID: V5I2-1742

Paper Status: published

Published: April 5, 2019

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Research Paper

Kinesics of engine assembly line using lean management

This paper explains the use of kinesics and visual management to improve line productivity in engine assembly. We use principles of visual management and lean production together to reduce losses and reduce the time taken to produce one complete engine. Since the assembly is done by hand, humane factors such as vagueness, error, speed and many more affect the productivity. These can be reduced by using signs and symbols which help workers to make the right decision in the shortest time. we will explain in detail how this can be done, and how effective results can be, along with the better organization of the factory floor and better communication without any verbal intervention. This will help increase productivity and reduce losses hereby helping the line to maintain its lean standards.

Published by: Rajesh Kannaa T. J. N., Damian Laffrey

Author: Rajesh Kannaa T. J. N.

Paper ID: V5I2-1766

Paper Status: published

Published: April 5, 2019

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Research Paper

Analysis of speech recognition techniques

This paper focuses on speech recognition techniques such as LPC(linear predictive coding), MFCC(Mel-frequency Cepstral coefficients) with Hidden Markov Models, LPCC(linear predictive Cepstral coding), and RASTA and will compare these techniques to find a most accurate and efficient way to recognize speech. Speech recognition is the process in which program or machine do the identification of words or phrases and convert them to machine-readable format. Additionally, this paper also focuses on NLP(natural language processing) techniques used with the speech recognition process. Once the speech signal is converted to text then NLP is used to understand and generate what has been said. NLU(natural language understanding) and NLG(natural language generation) are two important steps in NLP, through this paper, we will compare and analysis techniques to find out which we can use with speech recognition for effective results. The Objective of this paper is to find out the best technique which is currently used.

Published by: Pranit Gadekar, Mohmmad Hilal Kaldane, Dipesh Pawar, Omkar Jadhav, Anita Patil

Author: Pranit Gadekar

Paper ID: V5I2-1584

Paper Status: published

Published: April 5, 2019

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Research Paper

Optimization of CNC turning process parameters for surface roughness of AA3003 using ANN Tool on MATLAB

The aim of the present research focuses on the prediction of machining parameters that improve the quality of the surface finish. The surface roughness is one of the important properties of workpiece quality in the CNC turning process. An effective approach of optimization techniques “ANN tool on MATLAB” and Response surface methodology has been implemented.T he factors investigated was spindle speed, feed rate and depth of cut. The parameters that affect the turning operation are vibration, tool wear, surface roughness, etc. Among this surface roughness is an important factor that affects the quality of the manufacturing process. The main objective of this report is to predict the surface roughness on AA 3003, by optimizing the input parameters such as spindle speed, feed rate and depth of cut by using carbide tool. A second order mathematical model is developed using “Taguchi method and optimization of surface roughness using ANN tool on MATLAB for response surface methodology.” The experimental results indicate that the proposed mathematical models suggested could adequately describe the performance indicators within the limits of the factors that are being investigated. The feed rate is the most significant factor that influences the surface roughness and however, there are other factors that provide secondary contributions to the performance indicators. Therefore, this study attempts the application of response surface methodology and “ANN tool on MATLAB” to find the optimal solution of the cutting conditions for giving the minimum value of surface roughness.

Published by: Krishan Kant Sharma, Kanaram Choudhary, Himanshu Prabhakar, Laxmikant Prajapat, Rohan Pradhan, Ravi Choudhary, Vijay Kumar Jangid

Author: Krishan Kant Sharma

Paper ID: V5I2-1770

Paper Status: published

Published: April 5, 2019

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Case Study

Some medical applications of semiconductor devices

This market categorically should be growing much faster than other commercial markets, but there are several factors that impact this segment which has curtailed investment by the service providers for new technology, including public policy and skyrocketing cost. The semiconductors mainly used in areas like “Use of semiconductors in heart surgeries, Implantable semiconductor devices and roles, Ultra low SRAM memory, Medical imaging areas, audiology focus areas, EMI filtering, and signal conditioning” and model types are briefly discussed.

Published by: Shiva Prasaath S. B., S. Usha Rani

Author: Shiva Prasaath S. B.

Paper ID: V5I2-1564

Paper Status: withdrawn

Submitted: April 5, 2019

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Research Paper

Design scheme for copyright management system based on digital watermarking and blockchain

In the past, traditional digital copyright protection system based on digital watermarking focused on implementation of watermarking text or image ignored the generation and storage of watermark information. In this paper, a new design scheme of a copyright management system based on digital watermarking and blockchain is proposed which combines digital watermarking, blockchain, perceptual hash function, Quick Response (QR) code, and Inter Planetary File System (IPFS). The blockchain is used to securely store watermark information that implements to provide a timestamp authentication. A perceptual hash function is used to generate a hash value based on the structure information of the watermark image can be confirmed without the original image. A QR code is used to generate a QR image containing image hash and copyright information of the owner. IPFS is used to store and distribute watermarked images without any centralized server and can reduce information-leakage, improves security and transparency of information to facilitate circulation in the network. Here we give BST to check the perceptual hash values to see whether the image is copyrighted or not.

Published by: Orisi Pravallika, K. Soma Sekhar, CH. Seshadri Rao

Author: Orisi Pravallika

Paper ID: V5I2-1756

Paper Status: published

Published: April 5, 2019

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