Qualitative Risk Assessment and HAZOP Study of a Glass Manufacturing Industry
In the recent years, many industries have realized that maintaining good occupational health and safety is as equally important in accordance to production requirement. Hence there has been much scope for the risk assessment in order to protect the workers’ health and safety at workplace. Risk assessment is a process where the Identified hazards are evaluated to determine the potential cause of an accident and further to reduce to the lowest reasonable risk level to protect worker’s health and safety. It is a part of risk management. Risk assessment can be categorized into Qualitative and Quantitative risk assessment which is being carried out using different techniques. In this paper, an attempt has been made to carry a Qualitative risk assessment i.e. Hazard Identification and Risk Assessment and HAZOP study for the identified critical areas of a glass manufacturing industry. From the results obtained from this study, Physical Hazard is 47%, Ergonomic Hazard is 10%, Chemical Hazard is 9%, Electrical Hazard 2%, Biological Hazard 3%, Thermal Hazard is 29% etc. Risks are also categorized into Low, Medium and High risks which 12.09%, 45.05% and 42.06% respectively. Hazard analysis from the design intent for Silane and ethylene gas station is also studied using a HAZOP technique. Some of the control valves are suggested to install before the gas filter. ALOHA is also used to simulate the model to analyse the impact due to leakage from the various potential hole area in the natural gas pipeline. Leakage from the larger hole of about 324.51 sq.cm has shown the high hazardous zone - death to human beings i.e.12m down the line in the wind direction. However, periodical maintenance and monitoring of the Natural gas distribution pipelines along with Gas detection system and fire hydrant system with sprinklers can prevent the disaster.
Published by: Yadhushree B. J, Shiva Kumar B. P, Keerthi D’ Souza
Author: Yadhushree B. J
Paper ID: V3I4-1337
Paper Status: published
Published: September 1, 2017
Bio Inspired Technique to Improve the Performance of VANETs
The Vehicular Ad-Hoc Network, or VANET, is an expertise that usages moving cars as nodes in a network to generate a moveable network. VANET turns each contributing car into a wireless router or node, permitting cars roughly 100 to 300 metres of each other to associate and, consecutively, form a network with an extensive range. Since vehicular ad hoc networks require the transmission of the safety related messages most of the times, it signifies that the successful dissemination of these messages is very important. Thus, this paper aims to improve the performance of the network by improving the delivery rate of the packets by using the concept of ant colony optimization combined with firefly algorithm. The proposed scheme has been implemented in NS2.35 and the performance has been measured using packet delivery ratio, throughput and routing overhead. These parameters showed an improvement over the existing scheme.
Published by: Shivani Sharma
Author: Shivani Sharma
Paper ID: V3I4-1340
Paper Status: published
Published: August 31, 2017
Study on FM/FM/1 Queueing System with Pentagon Fuzzy Number using α Cuts
This paper Studies on FM/FM/1 queueing system with pentagon fuzzy numbers using α cut method. The arrival rate and service rate are fuzzy natures and also analyzed the performance measure in pentagon fuzzy numbers. The numerical example is illustrated that it shows efficiency of the system.
Published by: K. Usha Madhuri, K. Chandan
Author: K. Usha Madhuri
Paper ID: V3I4-1329
Paper Status: published
Published: August 30, 2017
Review on Text Classification by NLP Approaches with Machine Learning and Data Mining Approaches
Software Engineering and syntactic which is uncertain with the associations among PCs and regular dialects. In supposition, normal dialect changing over must be perfect skill of human-PC interface. Characteristic dialect thankful is some of the time portray to as an Artificial Intelligence-whole issues, since common dialect acknowledgment appears to draw in broad learning about the outside world and the bent to control it. NLP has huge have basic components with the field of computational phonetics, and is regularly viewed as a sub-field of computerized reasoning. In this paper review on the different techniques of text classification is discussed.
Published by: Gurvir Kaur, Parvinder Kaur
Author: Gurvir Kaur
Paper ID: V3I4-1294
Paper Status: published
Published: August 30, 2017
Multiple Face Detection for Colour Images
The emergence of high resolution digital cameras for recording of still images and video streams has had a significant impact on how communication and entertainment have developed during the recent years. At the same time Moore’s law has made tremendous computing power readily available that only some 20 years ago was reserved for high profile research establishments and intelligence services. These two tendencies have respectively called for and fostered the advent of unprecedented computationally heavy image processing algorithms. Algorithms that in turn have allowed for new processing of existing image based material. Parallel to this technological development the measures deployed in the protection against attacks from the enemies of modernity calls for more surveillance of the public space. As a result of this regrettable circumstance more video cameras are installed in airports, on stations and even on open streets in major cities. Whether or not the purpose is entertainment or dead serious surveillance, tasks like detection and recognition of faces are solved using the same methods. Due to the varying and generally adverse conditions under which images are recorded there is a call for algorithms capable of working in an unconstrained environment. In 2004 an article by Paul Viola and Michael J. Jones titled “Robust Real-Time Face Detection” was publish in the International Journal of Computer Vision. The algorithm presented in this article has been so successful that today it is very close to being the de facto standard for solving face detection tasks. This success is mainly attributed to the relative simplicity, the fast execution and the remarkable performance of the algorithm. This report documents all relevant aspects of the implementation of the Viola-Jones face detection algorithm. The intended input for the face detection algorithm is any conceivable image containing faces and the output is a list of face positions.
Published by: Radhika Anchanala, Dr. G. Chenchu Krishnaiah
Author: Radhika Anchanala
Paper ID: V3I4-1322
Paper Status: published
Published: August 29, 2017
A Critical Study on Make in India Program of NDA Government Special Reference To Tech India
Honorable PM Mr. Narendra Modi in an event in Vigyan Bhawan, New Delhi on September 25,2014 launched Make in India program, which is a major national initiative which focuses on making India a global manufacturing hub. Idea is to develop infrastructure without delays and make it very easy for the companies to do business in India along with support to existing industries in the nation. The manufacturing sector which is currently contributing to 15% of the countrys Gross Domestic Products Needs to be improved to 25% in next couple of years. Also eliminating lengthy laws and regulations, bureaucratic processes needs to be shortened , make government more transparent toward public. In this regime manufacturing will improve opportunities of investments, investments will improve skills, need of specific skill will improve employment, employment will improve purchasing power of the youth and once again there will be a demand of manufacturing goods, its growth and obviously the growth of the nation. Apart from manufacturing Initiatives , National Investments Schemes, creation of Industrial corridors, Development of smart Cities and FDI (Foreign Direct Investment) in important sectors like Defense, construction and Railways are taken into consideration. To support PMs mission there is a need of skill Development in different sectors. These skills are based on current industry needs and todays changing environments. Flexibility in labor laws, formation of new agencies, defining objectives and roles are the key points taken into consideration.
Published by: Vikas Pathak, Dr. Pramesh Gautam
Author: Vikas Pathak
Paper ID: V3I4-1344
Paper Status: published
Published: August 29, 2017
