Improvements in veld grape batter quality from rice batter
The convenience and appeal of battered or breaded products have resulted in a sales increase of 100%. Because of the rapid growth of the population and increasing consumption of rice and rice products, rice flour is a logical alternative for wheat flour in traditional batter formulation. Cultivating and new product development by using veld grape gives more nutrients compared to rice batter. This creeper crop needs very less amount of water, where people can even grow at drought cornering situation. And moreover, it has more number of health benefits like, ability to solve bone problem, obesity reduction, curing digestion problem. The effects of both rice batter and veld grape rice batter were analysed for proximate analysis. The batter rheology and its fermentation behaviour were studied. Quality parameters such as taste, texture, colour and acceptability were also analysed using sensory analysis. The highest value for sensorial acceptability corresponded to the batter produced with a mixture of rice flour (60 g/100 g) and veld grape flour (40 g/100 g)
Published by: Chitra Devi, Sathiya Jeeve M., Mukesh C.
Author: Chitra Devi
Paper ID: V6I5-1325
Paper Status: published
Published: October 30, 2020
Structural analysis and weight optimization of integrated steering knuckle
The aim of this project is to reduce the weight of the steering knuckle without compromising the strength of the steering knuckle. This Steering Knuckle is one of the critical components of a vehicle that links suspension, steering system, wheel hub, and brake to the chassis. It undergoes different loading under different conditions. There has been a strong trend towards the adoption of optimum materials and components in the automotive industry. The reason for this research paper is to design a knuckle that has low weight so that vehicle unspring mass can be reduced. In this project, the integrated steering knuckle is used. This research program aimed to optimize the best use of material for the steering knuckle and compare the analysis of steering knuckles made from three materials i.e. Gray cast iron, aluminum which is recently using and Mild steel is the suggested material.
Published by: Mahesh Humbe, Adik Yadao
Author: Mahesh Humbe
Paper ID: V6I5-1409
Paper Status: published
Published: October 30, 2020
Modeling the equation of motion for a bowler in cricket
To model the equation of motion of the hand of a bowler for a typical bowling action in the game of cricket. Using the equation of motion to predict the velocity with which the ball will be released by the bowler for different boundary conditions and given constraints on the motion of the bowler's arm.
Published by: Aditya Amit Dhodapkar
Author: Aditya Amit Dhodapkar
Paper ID: V6I5-1399
Paper Status: withdrawn
Submitted: October 30, 2020
JK Tyres positive impact of its corporate social responsibility activities on beneficiaries
It is revealed from the data that JK Tyres Ltd Mysuru has conducted training on hygiene and water management for the beneficiaries of this particular scheme but it is revealed from the analysis that 38 percent of the respondents were not at all aware of the training program conducted by the company. About 5 percent of the respondents did not attend the training program due to their personal reasons though they were aware of the training program. It is revealed from the study that the majority of the respondents when asked to rate the usage of toilet under various aspects like effective operation, convenience, cleanliness, smell, and ease of repair rated good which gives the meaning that they are happy with the benefit they have received., During the study, it was revealed that many families migrated newly to the villages where the toilets were constructed and the new migrant families have not received the facilities. Respective authorities can think of considering those families in the coming FY and provide them with the needful. It is revealed from the data that about 38 percent of the respondents were not aware of the training program, respective authorities must see to it that all the beneficiaries will receive the information regarding the activities. The researcher while interacting with the respondents found that there were more people in a few houses and they had only one toilet. Respective authorities can think of providing them with the alternatives. It is found during the analysis that many houses did not have a direct water facility to their toilets. While giving the benefits authorities can consider providing such additional facilities as well. Many of the beneficiaries requested street lights and water tanks in their villages. The authorities can consider these as well while planning the Corporate Social Responsibility activities in the coming financial years.
Published by: Nikhil M. S., Bhavani M.
Author: Nikhil M. S.
Paper ID: V6I5-1289
Paper Status: published
Published: October 30, 2020
Skew recognition
Skew detection has been an important part of the document recognition system. If the document includes the skew it will be difficult for reader to read the document. In the proposed work, new techniques that detecting the angle of skewed document. The main advantage is that the method works on all types of scripts. These techniques successfully handle the skew detection and correction of the printed and handwritten document. The detection and correction of document skew is one of the most important document image analysis steps. Page layout analysis and pre-processing operations used for character recognition depend on an upright image or, at least, knowledge of the angle of skew. A few methodologies have been proposed as choices for skew point identification of document images. Profile project technique is a popular method for skew detection. It is capable of locating fragmented lines in a binary image. Therefore given a group of black pixels, one can find the imaginary line or lines that go through the maximum number of these pixels. Existing techniques doesn’t work for images in which there is unequal space patterns in between the lines. Existing techniques cannot detect the skew in multiscript documents. Existing system is not capable of detecting correcting the upward and downward skew together in a single text document. Existing system Rotate the whole document at once to correct the skew from the given text document. A lot of work is required to be done in context of skew detection and correction for multiscript text images. These problems are required to be solved to make use of the system in the real world applications. The proposed system for skew detection and correction is implemented with the help of scan line algorithm along with hough transformation algorithm. Proposed system works on the document in line by line basis i.e. detect and correct the skew of every line independently. It can work on the documents having multiple scripts on it. It can detect and correct the skew from the documents even if there is an unequal space in between the two adjacent lines. It will rotate the document on line by line basis to correct the skew from the given document. Detects and correct the upward and downward skew together in the single text document. The major problem with the existing systems was that they just rotate the entire document in the reverse direction of the angle detected to remove the skew but the proposed system process the document on the line by line basis using scan line algorithm and skew angle is detected with the help of hough transformation. The performance of the proposed system is calculated on various images having different types of skew in them. The overall accuracy of the proposed system is 98% which is far better than that of existing system. In future the proposed system can be extended for coloured images and other types of documents. Proposed system can also be extended to made it for word level skew detection and correction to get more accuracy.
Published by: Lovepreet, Sarabjeet Kaur
Author: Lovepreet
Paper ID: V6I5-1405
Paper Status: published
Published: October 28, 2020
Cotton plant disease detection
Agriculture is one of the major sectors of the Indian economy and food security. Agriculture needs to find new ways to improve efficiency, production and yields. Approximately 30-35% of the yield gets affected by pests and diseases. The reason it happens is because these diseases are detected at a late stage which gets difficult to control. Hence, advancement in image processing technology and automated learning plays an important role in plant disease detection especially image processing and machine learning. On the other hand, manually detecting diseases in plants needs a tremendous amount of work, expertise and is very expensive because of the involvement of an expert or a plant pathologist. This paper majorly focuses on the need for a solution for early detection of cotton plant diseases, the diseases of cotton and their characteristics, different challenges farmers face while cultivating cotton and while identifying diseases in them, and the step by step technical approaches being used for the detection of cotton plant diseases. There is a lot scope in the advancement of technologies to improve the production by detecting and providing solutions to the farmers on an urgent basis. Agriculture is one of the major sectors of the Indian economy and food security. Agriculture needs to find new ways to improve efficiency, production and yields. Approximately 30-35% of the yield gets affected by pests and diseases. The reason it happens is because these diseases are detected at a late stage which gets difficult to control. Hence, advancement in image processing technology and automated learning plays an important role in plant disease detection especially image processing and machine learning. On the other hand, manually detecting diseases in plants needs a tremendous amount of work, expertise and is very expensive because of the involvement of an expert or a plant pathologist. This paper majorly focuses on the need for a solution for early detection of cotton plant diseases, the diseases of cotton and their characteristics, different challenges farmers face while cultivating cotton and while identifying diseases in them, and the step by step technical approaches being used for the detection of cotton plant diseases. There is a lot scope in the advancement of technologies to improve the production by detecting and providing solutions to the farmers on an urgent basis.
Published by: Tejaswi Pallapothu, Harshita Nangia, Manmeet Singh, Riya Sinha, Prashant Udawant
Author: Tejaswi Pallapothu
Paper ID: V6I5-1401
Paper Status: published
Published: October 28, 2020
