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Human factors in Safe Construction of Mega Projects in India

Construction is a hazardous process, which is responsible for severe and fatal accidents around the world. The global studies on Occupational Health and Safety (OHS) aspects in the construction industries also reiterated for the improvement of safety culture. The mega projects are projects characterized by vast capital, unorganized work force, technically complex constructions, and having a significant impact on the socioeconomics and community development. For example; highways, power projects, residential buildings, airports, industrial parks, etc. The construction industry is mainly skill oriented and labor intensive. This paper is aimed at studying the prevailing safety practices in the construction of infrastructure power projects in various regions in India in the past 15 years. The study mainly focused on a survey of human practices which are responsible for the behavior at work. The unsafe acts/conditions at work place when uncontrolled lead to incidents/ accidents. The elements identified in the construction process are factored and a safety culture model is developed. The model is based on rock-bottom principles, rigorous approaches and rigid hazard management practices, which is suitable for the construction industry.

Published by: Samarth Ramprasad .K, Prabhat Kumar

Author: Samarth Ramprasad .K

Paper ID: V3I4-1311

Paper Status: published

Published: August 18, 2017

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Research Paper

Seismic Effect of Masonry Infill with Open and Shear Wall on Flat Slab Structures

In the design of tall structures it is essential that the structure must be enough stiff to resist the lateral loads caused by wind and seismic motion. Lateral loads leads to develop high stresses, produce sway movement or cause vibration. Therefore, it is a must for the structure to have sufficient strength against vertical loads together with adequate stiffness to resist lateral forces. Many researches has been carried which describes the suitability of various lateral load resisting system against deformation and shear exerted due to the seismic and wind forces. The RC structures with shear wall and MI frame have been recognized as one of the most efficient structural system for such a purpose. A flat slab is a typical type of construction in which a reinforced slab is built monolithically with the supporting columns and is reinforced in two or more directions, without any provision of beams. Flat slab structures in areas of low seismicity (Zone I & II) can be designed to resist both vertical and lateral loads as permitted by code IS: 1893(Part1)-2002. However for areas of high seismicity (Zone III, IV & V) code does not permit flat slab construction without any lateral load resisting system. In a building having frames (without beam) and with shear wall, the frames are designed for at least 25% of the seismic force and 75% is taken by the shear wall. If effect of lateral load analysis and other design features are to be studied in flat slabs; punching shear is a matter of concern for any structural designer.

Published by: Janardanachar M. H, D. Prakash

Author: Janardanachar M. H

Paper ID: V3I4-1301

Paper Status: published

Published: August 17, 2017

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Research Paper

Automatic Detection of Diabetic Retinopathy using Deep Convolutional Neural Network

The purpose of this project is to design an automated and efficient solution that could detect the symptoms of DR from a retinal image within seconds and simplify the process of reviewing and examination of images. Diabetic Retinopathy (DR) is a complication of diabetes that is caused by changes in the blood vessel of the retina and it is one of the leading causes of blindness in the developed world. Currently, detecting DR symptoms is manual and time-consuming process. Recently, fully-connected and convolutional neural networks have been trained to achieve state-of-the-art performance on a wide variety of tasks such as speech recognition, image classification, natural language processing, and bioinformatics. In our approach, we trained a deep Convolutional Neural Network model on large dataset consisting around 35,000 images and used dropout layer techniques to achieve higher accuracy.

Published by: Vishakha Chandore, Shivam Asati

Author: Vishakha Chandore

Paper ID: V3I4-1321

Paper Status: published

Published: August 16, 2017

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Research Paper

Comparative Analysis of Mobile Payment Applications

Cashless transactions have various benefits attached with them like reduction in black money, increase in span of income tax, reduced crime rates.At the same time, concerns are being raised about the security and service of these applications. There are various countries which have more than 50% of their transactions through cashless means. . Due to demonetization act, already existing mobile payment applications are brought into limelight like Paytm, Mobikwik, Freecharge etc

Published by: Sanchi Meena

Author: Sanchi Meena

Paper ID: V3I4-1320

Paper Status: published

Published: August 16, 2017

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Research Paper

A Study on Women Impact on Demonetization and Perspective of Economists, International Media

Demonetization refers to Withdrawal of a particular form of currency from circulation. On eve of 8th November 2016 the government announced the demonetization of Rs.500 and Rs.1000 notes (almost 86% of the currency) which left everyone shocked. This sudden announcement led to chaos in every part of the society. Though it was a bold decision taken by the Modi government, it affected many poor daily wage workers. While some economists, politicians were in agreement with the move, some were against it. This paper aimed at reviewing the implications of demonetization on Women, Rural People and Views of Politicians, Economists, International Media on demonetization.

Published by: D. Sai Sarika

Author: D. Sai Sarika

Paper ID: V3I4-1319

Paper Status: published

Published: August 16, 2017

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Research Paper

Task Scheduling in Cloud Computing

Cloud computing is the delivery of computing services—servers, storage, databases, networking, software, analytics and more—over the Internet (“the cloud”). Companies offering these computing services are called cloud providers and typically charge for cloud computing services based on usage, similar to how you are billed for water or electricity at home. We are probably using cloud computing right now, even if you don’t realize it. If you use an online service to send email, edit documents, watch movies or TV, listen to music, play games or store pictures and other files, it is likely that cloud computing is making it all possible behind the scenes. Numerous applications which are very complex need parallel processing for executing the jobs efficiently. Because of the synchronization and communication among processes which run parallel, there is a reduction in usage of resources of CPU. So there are number of jobs that need to be executed with the available resources to achieve optimal performance, least possible total time for completion, less processing cost and efficient utilization of resources etc. . To accomplish these goals and achieve high performance, it is important to design and develop a multi objective scheduling algorithm to schedule the tasks along with satisfying the user’s Quality of Service requirements. After studying and analyze the processing time of various low level scheduling algorithms, an improved task scheduling is developed using quality of service parameters of resource nodes and priorities of the task. In order to achieve efficient consumption of cloud resources, the load balancing problem is solved by using Adaptive Load balancing algorithm. The evaluation parameters considered in the work includes total processing cost, average waiting time and total processing time.

Published by: Mir Salim Ul Islam, Bhawana Rana

Author: Mir Salim Ul Islam

Paper ID: V3I4-1324

Paper Status: published

Published: August 16, 2017

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