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Research Paper

ICT for risk mitigation of open to sky livelihoods

Small and Marginal Fisher-folk, Farmers, Livestock owners need optimal information from the sky, ground and from the surrounding environment at the right time from the right source to move up the curve of Income Generation. Most support they seek is not in the form of money or assets but a little knowledge to make a decision which could help them cope with a situation and prevent them from thinking of the inevitable on their fight to balance their walk on the tight rope of the livelihood chosen by them. To minimize arbitrage out of time difference, not for profit programs aim to cover a maximum number of homogenous farmers/fisher-folk lateral literates using Information Communication Technology (ICT). They also have a toll free helpline number which gives them assurance of the existence of the users. A potential user of information immediately confirms the customized content in conversation with an expert to confirm the content of the voice message and also to understand better over a dialogue in his own language. Many other users learn from such peer who has confirmed it with an expert. We see that this kind of Attention Economy, which uses ICT, depends on Persuasion Technology (E.g. A voice message requires a text follow up and then many times conversation with a human expert in users own language then alone he uses (adopts) the information delivered). In this given scenario we may measure the value of information by the amount of risk reduced.

Published by: Dr. N. Ganga Vidya

Author: Dr. N. Ganga Vidya

Paper ID: V5I3-1828

Paper Status: published

Published: June 11, 2019

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Research Paper

Clustering for the decision making in data and business analytics

The term clustering is a very important in the field of data analytics and in building the decision and for reaching to the conclusion to make the decision from the given data set. How clustering is use in the process of decision making with different methods and processes, we will get to learn by this paper. The clustering is used for the prescriptive model by which it will form the decision. The clustering is used for the process of predictive model analysis to the prescriptive model analysis.

Published by: Suhani Jain

Author: Suhani Jain

Paper ID: V5I3-1753

Paper Status: published

Published: June 11, 2019

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Others

Experimental investigation on concrete with phosphogypsum

Phosphogypsum is a by-product in the wet process for the manufacture of phosphoric acid (ammonium phosphate fertilizer) by the action of sulphuric acid on the rock phosphate. The disposal of phosphogypsum is a serious environmental problem. This problem along with the scarcity of cement, environmental pollution associated with the manufacture of cement and its increased cost can be solved to some extent by replacing a certain quantity of cement in concrete with phosphogypsum. Our present study deals with the experimental investigation on compressive strength, splitting tensile strength and flexural strength of phosphogypsum concrete. The study aims to determine the optimum amount of phosphogypsum that can give maximum strength to concrete. The experiment consists of testing partially replaced phosphogypsum concrete using 0%, 2%, 4%, 6%, 8% and 10% replacement of cement with phosphogypsum. Based on the experimental investigation conducted and the subsequent analysis of test results, the following conclusions are drawn. The percentage increase in compressive strength (at water-cement ratio 0.5) at 8% phosphogypsum content, when compared with plain concrete is more than 20%. The percentage increase in split tensile strength (at water-cement ratio 0.5) at 8% phosphogypsum content, when compared with plain concrete, is around 10%. The percentage increase in flexure strength (at water-cement ratio 0.5) at 8% phosphogypsum content, when compared with plain concrete is around 30%.

Published by: R. Ashok Kumar, R. Manisha

Author: R. Ashok Kumar

Paper ID: V5I3-1819

Paper Status: published

Published: June 10, 2019

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Research Paper

Design and fabrication of coffee bean sorter machine

This paper focuses on the design and fabrication of a coffee bean sorter machine. The main purpose of this machine is to sort the coffee bean cherries based on their color before they get peel and roasted for a better quality of the coffee. Sorting of products is a very difficult industrial process. Manual sorting is the traditional approach preferred by industries. In this approach, a visual inspection performed by human operators. This traditional approach is tedious, time-consuming, slow and non-consistent. Continuous manual sorting creates consistency issues. This describes a working prototype designed for continuous recognition and automatic sorting of coffee cherries based on the color. The system has the ability to sort the object according to their colors into the respective color station in minimum time. TCS230 sensor was used to detect the color of the product and the microcontroller was used to control the overall process. The experimental results promise that the prototype will fulfill the needs for higher production and precise quality in the field of automation.

Published by: Chaitanya Chowdary Burugupalli, Deekshith D. S., Krishna Bhargava K. R., Deepak Dinesh Kumar, Manjunath Naik H. R.

Author: Chaitanya Chowdary Burugupalli

Paper ID: V5I3-1823

Paper Status: published

Published: June 10, 2019

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Research Paper

Recognition and overcoming of Dysarthria

Speech disorder is a condition where a person can-not properly create speech sounds required for communication. About 5% of children in the world suffer by speech disorders. Dysarthria is a motor speech disorder which results in slurred or slow speech that is hard to understand. It is a neurological disorder, that affects the muscles which help to produce speech. In this paper we propose a method where machine learning can be used to predict the actual word spoken by dysarthric patients while the dysarthric speech may not be clearly understood by the common man. We have also proposed a method to predict the gender of the speaker and severity of dysarthria in patients. We have also built an application which has also the above mentioned features along with the option of saving the details and also emailing the data.

Published by: Anurag A. S., Dr. M. N. Jayaram, Jeevan D'souza, Manoj M. S., Abhishek P.

Author: Anurag A. S.

Paper ID: V5I3-1746

Paper Status: published

Published: June 10, 2019

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Research Paper

Regional transport services through smart governance using bigdata

Smart Governance is the process of utilizing modern technology to create a transparent and sustainable environment for citizens and the government. Intelligence through smart governance is utilized to upgrade decision making through a better collaboration including government and citizens by utilizing heterogeneous techniques and technology through smart governance. Transportation is being the vital concern for enormous countries like India, Bangladesh, Nepal etc; where the vehicles are increasing in big numbers which include variety of vehicles like two-wheelers, cars and heavy vehicles where all the vehicles have to get registered at Regional Transport Office(RTO) which are situated all over the country in various states. The motive of this paper is to store an enormous range of vehicle data and extract the information in a smart and efficient manner by utilizing the Big data technology.

Published by: Ramya R., Asha K. H., Navyashree V. Shetty, Meghana M. V., Manasa B. V.

Author: Ramya R.

Paper ID: V5I3-1834

Paper Status: published

Published: June 10, 2019

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