Assessment of ski-jump bucket parameters for sluice spillway of Himalayan dam by hydraulic model studies
Ski jump buckets are very popular type of energy dissipators for dam spillways. These ski jump buckets are provided where the tailwater levels downstream of the spillway are such low that stilling basins type of energy dissipator cannot be provided. The design of ski jump bucket for a spillway of a dam is very complex in nature, as it involves hydraulic variables such as discharge intensity, head over the spillway, lip angle, lip elevation, full reservoir level, tailwater level, velocity head of jet at bucket lip, bucket radius and frictional losses. Himalayan dams are mainly run- of- river schemes mainly meant for hydropower generation and where poundages are minimum and also serve dual purposes of disposing of flood and sediments. Many of Himalayan dam sluice spillways are provided with ski jump buckets as energy dissipators. Sometimes ski jump buckets are provided when the tailwater levels are higher and bucket lip is provided under submerged condition. Computing jet trajectory length and trajectory height of ski jump bucket is important as the throw distance play a decisive role in fixing downstream structures like downstream cofferdam, tailrace outfalls, diversion tunnels, etc. Also, throw height computation is important to factor in fixing the heights of divider walls and training walls of the spillway. Various empirical formulae are available in the literature for finding out the throw distance of trajectory buckets. But hydraulic model studies play a crucial role in assessing the performance of ski jump buckets. The hydraulic model is the best tool to design or modify the spillways and energy dissipators by making the model run for different discharges and gate operation schedules prior to the construction of project. In this papers authors
Published by: V. S. Ramarao, Atif Bashir Inamdar, Prathamesh Narendrakumar Joshi, Shubham Santosh Sanghvi
Author: V. S. Ramarao
Paper ID: V5I3-1664
Paper Status: published
Published: May 29, 2019
Cleaner production assessment in optical brightening agent manufacturing industry
Optical Brightening Agents (OBA) manufacturing industry is currently facing tough market competition and environmental issues, demanding productivity improvement and waste reduction by adopting Cleaner Production (CP) techniques. Majority of OBA manufacturing industries are operated based on conventional practices generating higher quantum of wastes. Adoption of adequate CP options would not only result in waste reduction but also in productivity improvement by better processes efficiencies, optimization of resource consumption, etc. During the study, probable CP options have been identified based on the causes of generation waste streams and then identified CP options were screened and evaluated based on their economic feasibilities. It was attempted to determine costs and benefits possible from eliminating/reducing the waste streams in monetary terms and also to calculate the payback period for each of the CP options. The aim of this study was to derive the CP options that may be practically implemented by the industry for reducing the waste generation and improving productivity.
Published by: Tejas Patel, S. M. Usman
Author: Tejas Patel
Paper ID: V5I3-1660
Paper Status: published
Published: May 29, 2019
Students monitoring system in lab
In most of the organizations, they connect multiple numbers of systems to form a network to share files or to keep a track on the work of the users. While connecting to monitor the network system activities for security purposes. Client and Server are the two methodologies in this system. In the proposed system we will be introducing the current session option to monitor the network systems and at the same time, the accessed folder option shows the username and user accessed folders. While the client logs in to the server, the Clients IP address and system names are added to the server. The server will display all the user names, and from the server, we can monitor the particular Client screen activities like the currently opened screens, the files created, modified and deleted. Five modules that we have developed are Admin module for username and password, Remote Desktop Services, IP Subnet Calculator for hiding the complexity of the IP subnet process for only class C type IP address, Network Remote Monitoring System for monitoring, and E-mail Client. Protocols that we will be using are SNMP, FTP, SMTP, RDP etc.
Published by: Anagha Chaudhari
Author: Anagha Chaudhari
Paper ID: V5I3-1654
Paper Status: published
Published: May 29, 2019
System seizing and performance analysis of 30 kW grid connected solar PV plant in five different regions in India
This report will help us to understand how the 30-kW solar PV cell-based power plant will perform if all the system components are same and simulated in 5 different regions of India when the sun is over the equator(at equinox). Generally, performance analysis is based on PSH of different locations, module tilt angle, row spacing, array matching and several other losses (Soiling loss, temperature loss, mismatch, voltage drop, irradiance, shadow loss, etc.). This system is useful for new entrepreneurs to understand the system performance analysis in different regions in India if the system having the same components.
Published by: Ashutosh Tripathi, Romi Jain
Author: Ashutosh Tripathi
Paper ID: V5I3-1652
Paper Status: published
Published: May 29, 2019
Challenges and opportunities of rural and urban women entrepreneurs on digitalization in India
The study will focus on creating solutions that tackle the root for digitalization issues, with the aspiration of alleviating the trouble rather than providing short assistance to rural and urban women entrepreneurs, therefore creating support to entrepreneurs and citizens who are self-adequate and self-reliance and not dependent. To determines and analyze the challenges and opportunities by the women entrepreneurship and they solve the issues and evaluate the digitalization effect will development to take up the target to achieve it in the recent scenario. Women entrepreneurs are the personality who solves the business exertion and creates the consciousness and clears the hurdles and crisis to overcome it. Women entrepreneurship is a course designed to give a broad understanding of how entrepreneurs can form enterprises that address business challenges, tools, and practices used to identify opportunities, innovate, route, solutions, and gather resources to build sustainable business models. It will examine how rural and urban women enterprise can have a compounding impact by providing digitalization for others to reproduce and also by generating profits that can be reinvested in solving other business challenges. Women entrepreneurs’ innovation will also be discussed as a form of entrepreneurship, as well as an additional element that can be integrated into the traditional corporate structure. When business innovation becomes the norm for all businesses, rather than for the exceptional few, the benefits are far-reaching, long lasting, and exponentially greater for society as a whole.
Published by: Mahalakshmi R., Dr. H. H. Ramesha
Author: Mahalakshmi R.
Paper ID: V5I3-1632
Paper Status: published
Published: May 29, 2019
Emotion recognition from facial expression
The aim of image (photo) based emotion recognition system emotion is to detect and classify the emotion from the human face from an image. The automatic system mainly has two components i.e. extraction of facial feature and classification of facial feature. To classify the feature precisely effective feature classification methods should be applied. Many recent systems uses additional information from classification which reduces accuracy as well as increase execution time. In this system Double Local Binary Pattern (DLBP) is used for feature extraction which is a variant of Local Binary Pattern (LBP). Since DLBP has small dimension size which reduces the detection time. To handle local illumination problem Logarithmic Laplace-Domain is proposed (LoL-Domain). Finally, Convolution Neural Network (CNN) is used for an obtained feature for classification.
Published by: Vinay Kumara R. S., Shraddha P. W., Ketan Kulkarni, Goutham Y., Manohar G. M.
Author: Vinay Kumara R. S.
Paper ID: V5I3-1620
Paper Status: published
Published: May 29, 2019
