Implementation of HOG algorithm on eye controlled wheelchair using Python language
The eye-controlled wheelchair is a flexible device for persons with restrained or severe locomotor disabilities, ameliorating movement further for the aged. There are numerous interfaces for wheelchair obtainable within the market, but still, they continue to be under-utilized because they require the presence of mind, ability, and power to control them. The proposed model is an alternative that tries to form the lives of those individuals easy by helping them move around as they wish and not a burden on others. An individual littered with paralysis will move his eyes and may tilt his head partially. Thus, A wheelchair that is totally controlled with eye movements and blinks has been designed in which python software is used & processing of eyeball movement is done which employs the Histogram of Oriented Gradients (HOG) algorithm. The Arduino drives the motor driver circuit. The motors connected to the wheelchair support differential steering that avoids clumsy motion. The wheelchair has been supplied with a joystick to make sure safe movement just in case of tired vision and with a security stop button, which is able to prevent the wheelchair movement at his own case.
Published by: CH. V. Naga Bhaskar, Y. Harika
Author: CH. V. Naga Bhaskar
Paper ID: V5I3-1820
Paper Status: published
Published: June 10, 2019
Role of individual saving accounts in Social Security Transformation
The general purpose of the study was to do an investigation on the role that the individuals and savings accounts play towards the Social Security Transformation. The research problem was how most of the Americans perceive the Social Security experience. Most of them see this as the long haul funding issue which should be looked into so as to come up with the solution. The design of this research will entail looking at both the individuals who are below the age of 35 years and those that have retired. It will also entail conducting some interviews from various individuals and stakeholders who are in relation to this issue. After conducting the research, it was found out that most of the youths are not sure about the Social Security Fund. This is because they do not believe that laborers can bear higher finance charges. The research also found out that scaling up of the individual accounts has a lot of advantages. It was also found out that individual account planning can vary in two ways namely; laborer's definitive retirement benefit hanging exclusively on the span of workers’ commitments and achievement of laborer's speculation strategy and within the individual record framework, benefits will be compensated out of huge collections for exclusive reserve funds. The research also found out some threats to the individual account namely; investment threat and deficit threat. Lastly, it was found out that the most applicable way for enhancing the wellbeing of the youthful employees and those employees that have retired is giving the support countrywide sparing in order to get more future salaries which can be shared amongst the employees.
Published by: Aryan Yogi
Author: Aryan Yogi
Paper ID: V5I3-1818
Paper Status: published
Published: June 10, 2019
Reducing casting rejection rate in foundry to improve productivity
Production of casting involves various processes like pattern making, molding and assembly, core making and melting, etc. A casting defect may be a result of a single cause or a combination of causes. The single castings have one or more defects. These can be minimized by taking corrective actions in the tools like pattern, mold making, core making, and melting process. This paper presents a systematic procedure to identify as well as to analyze major casting defects. Keeping rejection to a bare minimum is essential to improve the yield and increase the effective capacity of the foundry unit and also improve productivity. This paper identifies the major cold defect. There are many reasons to generate these defects. So it preferably necessary to reduce it as much as possible by appropriate analysis of the defects which includes the root cause analysis so that actual reasons behind occurring the defects can find out to make the corrective action. In this paper use six sigma technique and Shainin tool for indentify and analysis casting defect. Shainin tool works on the elimination principle. The final result of this work has to be cold defect by taking corrective action. Tool should be identifying the sources of variation clearly.
Published by: S. A. Patil, P. P. Powar
Author: S. A. Patil
Paper ID: V5I3-1548
Paper Status: published
Published: June 10, 2019
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
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
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
