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Mining industry and environment

This paper accounts the escalating problems associated with mining practices. The mining activities cannot be stopped as they retain the vital sector of Indian economy and an important share to power generation and other industries and sections. The pollution caused by these industries could not be ignored as it is one of the major global problem to be resolved.

Published by: Dr. Sushma N. Thakre

Author: Dr. Sushma N. Thakre

Paper ID: V5I3-1811

Paper Status: published

Published: June 10, 2019

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Research Paper

Experimental analysis of high strength self cleaning concrete

An undying demand for novel construction materials and the need for sustainability has motivated this study of high strength self-cleaning concrete. The nanotechnology has made a great impact on the development of new and eco-friendly material which fulfill the need for sustainable and low carbon footprint future. This study uses Titanium Dioxide as the self-cleaning agent to be added in the concrete with 3%, 10% and 15% by weight of cement. The ultra-high strength was achieved with the help of nano PCE ( nano silica + Polycarboxylate ether superplasticizer). It was procured from the manufacturer as a mixture with a proportion of 1:1. The titanium dioxide increased the compressive strength as well as performed the self-cleaning action which was observed by applying phenolphthalein on the surface. The decolorization was maximum in 10% and 15 % specimens.

Published by: Aashish Rawat, Aditya Kapoor, Hritik Kumar Singh, Arun Pandey

Author: Aashish Rawat

Paper ID: V5I3-1825

Paper Status: published

Published: June 10, 2019

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Research Paper

Predictive Analytics in Healthcare

The growing healthcare industry is generating a large volume of useful data on patient demographics, treatment plans, payment, and insurance coverage—attracting the attention of clinicians and scientists alike. In recent years, a number of peer-reviewed articles have addressed different dimensions of data mining application in healthcare. However, the lack of a comprehensive and systematic narrative motivated me to construct a literature review on this topic. In this proposal, I would like to seek more information on healthcare analytics using data mining and big data. Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, I conducted a database search between 2005 and 2015 Critical elements of the selected studies—healthcare sub-areas, data mining techniques, types of analytics, data, and data sources—were extracted to provide a systematic view of development in this field and possible future directions. I found that the existing literature mostly examines analytics in clinical and administrative decision-making. Use of human-generated data is predominant considering the wide adoption of Electronic Medical Record in clinical care. However, analytics based on website and social media data has been increasing in recent years. Lack of prescriptive analytics in practice and integration of domain expert knowledge in the decision-making process emphasizes the necessity of future research.

Published by: Ashish Asthana

Author: Ashish Asthana

Paper ID: V5I3-1822

Paper Status: published

Published: June 10, 2019

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Research Paper

Modeling of proton exchange membrane fuel cell based electric vehicle

Electrical Vehicles are gaining popularity gradually. Fuel Cell Technologies are one of the best practical solutions for vehicular applications because they can be used as another possibility of fuel converters and are nature-friendly. Unlike conventional vehicles converting hydrogen gas into electricity produces only water and heat as a byproduct which means fuel cell vehicles do not create a channel of pollution where ever they are driven. For energy balance, the integration of thermodynamic and electrochemical phenomenon must take place in a fuel cell. The combination of both modules makes it possible to anticipate the fuel cell power, voltage, current based on the ambient temperature and demanded current. However, an autonomous fuel cell system may not be capable to meet the load demands especially during peak demands periods, transient events or cold start for vehicular application. A Supercapacitor bank can supply an ample of power but cannot store much energy. By operating the proton exchange membrane fuel cell (PEMFC) ultracapacitor and battery in parallel, can fulfill the steady-state and peak power demands and hence use of an FC/SC hybrid model provides a potential solution for better energy efficiency while reducing the cost of FC power technology. This also suggests a control principle for utilizing PEM fuel cell as a main power source and ultracapacitor, battery as an auxiliary power source for electric vehicle applications. The paper explains in detail the design and development of Modeling of PEMFC Based Electric Vehicle using MATLAB. This system includes a parallel connection of PEMFC, supercapacitor and battery connection through the DC-DC Boost converter. This report critically analyses the challenges which can be faced in EV’s effective and efficient power unit. It also throws light on the application of supercapacitor application as a power buffer in electrical vehicles. The basic idea behind this design was to improve driving range, efficiency, and range of an electric vehicle. Finally, simulation results models are presented and analyzed.

Published by: Sonal Zanwar, Dr. D. B. Talange

Author: Sonal Zanwar

Paper ID: V5I3-1765

Paper Status: published

Published: June 8, 2019

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Research Paper

A descriptive study to assess the knowledge regarding kangaroo mother care among postnatal mother with the view to develop information pamplets in Rohilkhand Medical College and Hospital Bareilly

A descriptive study to assess the knowledge regarding Kangaroo mother care among postnatal mother in Rohilkhand Medical College and Hospital with the view to developing information pamphlets. The objective of the study is to find out the association between the levels of knowledge of postnatal mothers with their selected demographic variables. The nature of the study was non-experimental. This was conducted in Rohilkhand medical college and hospital, Bareilly. The research design used was non-experimental. The data were collected to assess the level of knowledge about Kangaroo mother care. The data collected were analyzed and interpreted by using descriptive and inferential statistics. Major findings of the study revealed that the knowledge score of the study,33.3% of the postnatal mother have good knowledge level,60% of the postnatal mother have average knowledge level, and 3.3% of the postnatal mother have poor knowledge level and mean was 17.76, median was 18, mode was 21 and standard deviation was 4.47. It can be concluded that in our study knowledge score was average regarding Kangaroo mother care, after implementation of a questionnaire program the knowledge of postnatal mother was improved. Hence the questionnaire programme was effective.

Published by: Kavita Sharma, Dr. Vijay Laxmi Verma

Author: Kavita Sharma

Paper ID: V5I3-1754

Paper Status: published

Published: June 7, 2019

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Research Paper

Speech enhancement using binary mask technique

Many noise reduction algorithm improves overall speech quality but little progress has been made to improve speech intelligibility. The paper proposed by Gibak Kim and Philipos C. Loizou uses new binary mask approach to improve speech intelligibility, for our paper we have used the same approach but used parametric Wiener filter algorithm for the gain function computation. Subjective and objective measures tests were conducted to evaluate the overall speech enhancement quality and speech intelligibility. For the objective measure, the segmental signal-to-noise ratio parameter was calculated. The results indicate improvement in segmental signal-to-noise ratio for speech corrupted by noise at 0dB and -5 dB SNR levels for Helicopter noise and Car noise.

Published by: Chetan S. Gowda, Anubhav Singh, Goutham Kumar V., Jayanth Kumar M. P., Ramesh Nuthakki

Author: Chetan S. Gowda

Paper ID: V5I3-1814

Paper Status: published

Published: June 7, 2019

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