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Optimal Load Balancing and cloud resource management by space shared scheduling technique

Cloud computing is the availability and management of a large number of resources without the involvement of users. The Characteristics of Cloud Environment are its elasticity, availability, and scalability of the resources which is done by sharing the cloud resources. Resource monitoring and prediction are the keys to achieve resource utilization with high-performance management in cloud computing. Resource scheduling is one of the major issues of cloud computing, the scheduling policy and algorithm affect the performance of the cloud system directly. Moreover, Load balancing is also one of the major aspects which are the process of distributing the load on various nodes providing the best resource utilization when nodes are overloaded. The major focus of this work is to develop a space shared resource sharing technique that allows one job to utilize the available resource at a time as per the requirement for job completion. The Proposed System also provides optimal resource sharing and Load balancing by utilizing the Optimized Throttled Load Balancing Algorithm (OTLBA). In order to optimize resources scheduling of cloud computing and to improve the utilization ratio of the resource as well as guarantee application quality of service, the dynamic resources scheduling based on the Optimal Load balancing algorithm has been designed and implemented.

Published by: Amreen Kubra, P. Anlet Pamila Suhi

Author: Amreen Kubra

Paper ID: V6I2-1151

Paper Status: published

Published: March 8, 2020

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Research Paper

Origin of Conglomerate/Breccia rocks, How did they arrive at Lonar Crater? Buldhana District, Maharashtra, India

Conglomerates are rocks of silicates (stones/pebbles/gravels/cobbles), etc. cemented together in a matrix, were observed on the temples roof tops, near the lake periphery of Lonar Crater and the fragments of these rocks found surrounding the temple periphery. To investigate how these rocks did came here, what was the purpose of these rocks being found on the temple roofs? detailed study was under taken. The XRF analysis carried out showed that these fragmented rocks of conglomerate origin SiO₂ is found to be dominant i.e., between 53.40-99%, with other components such as Al₂O₃, MgO, SO₃, CaO, Fe₂O₃, ZnO and CuO as minor compositions. From the studies carried out, the conclusion drawn showed that all the glassy nature of rock fragments showing high percentage of SiO₂ found at Lonar Crater are components of conglomerate rock fragments, whether it be white rusting, non white rusting, white pebbles/silica pebbles etc., are all of conglomerate rock fragments. This paper reports a detailed study about how did these rocks arrive here at Lonar Crater and placed on the roof tops of the temples? What was their source and origin? Why were they brought here? What was the purpose of bringing here? This work being of preliminary investigations, a small attempt has been made to search answers to the above questions.

Published by: Raju D. Jadhav, Harishchandra B. Mali

Author: Raju D. Jadhav

Paper ID: V6I1-1299

Paper Status: published

Published: March 6, 2020

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Research Paper

Historical Sensex closing prices

In this paper we studied the closing Sensex prices and find the trends it followed along with any correlation with time, as well as a moving 3 yearly average using a daily data set converted to the yearly average. We also studied the trends Sensex has followed from 1st July 1997 till 3rd March 2020. Furthermore, a regression analysis of the provided data was undertaken

Published by: Akshat Mittal

Author: Akshat Mittal

Paper ID: V6I2-1176

Paper Status: published

Published: March 6, 2020

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Research Paper

Is the level of happiness related to the number of hours of sleep amongst students?

We have always been told that we should have six to eight hours of sleep is must for all human beings. Also, all the doctors say that 6-8 hours of sleep further leads to a high level of refreshment but that is often misinterpreted with happiness. Hence I decided to take a survey of people to find out the relation between happiness and took a survey of 573 students from NMIMS ASMSOC, MPSTME, and Navrachana Vidyani Vidyalaya.

Published by: Smit Modi

Author: Smit Modi

Paper ID: V6I2-1174

Paper Status: published

Published: March 6, 2020

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Research Paper

An experimental investigation of natural soil stabilized with sewage sludge for flexible pavement

Soil is very important in civil engineering constructions. The poor engineering properties of the local soils may present many difficulties for construction and therefore need to improve their engineering properties. Stabilization techniques can be used to improve the properties of soil. Soil stabilization improves various engineering properties e.g. bearing capacity, compressibility, strength, and various other properties of soil. In this study the impact of Sewage Sludge to improve the strength of soil The soil was stabilized with Sewage Sludge in the stepped concentration of 5%, 10%, 15%, 20%, 25% and 30% by dry weight of the soil individually. All stabilized soil samples were also cured for 96 hours for the CBR test in a fully saturated condition. The test results indicate that the addition of Sewage Sludge enhances the percentage of grain size distribution but with addition of Sewage Sludge till 20% the LL, PL, PI and decreases, while these parameters further increase in this limit beyond i.e. 20% to 30% of Sewage Sludge, but in the case of the optimal percentage of Sewage Sludge at which maximum CBR is achieved is selected, Specific gravity value of Natural Soil is 2.57, but a percentage of Sewage Sludge is increased, specific gravity value decreases gradually from 2.57 to 2.44 with increase in percentage of Sewage Sludge from 0 to 30% and value of raw soil is achieved as 1.85 gm/cc at OMC of 13.65%. It got increased to 1.93 gm/cc at OMC of 12.30 % when Sewage Sludge is increased from 0 to 20% is effective beyond also there is decreasing in MDD from 1.93 gm/cc at OMC of 12.30% to 1.89 gm/cc at OMC of 13.20% when Sewage Sludge is increased from 20 to 30%. The CBR value increases with the addition of Sewage Sludge till 20%, while it decreases beyond the limit 20% to 30% with the addition of Sewage Sludge. For both soaked and unsoaked conditions.

Published by: Sumi Shrivastava, P. K. Singhai, Veena Mandlekar

Author: Sumi Shrivastava

Paper ID: V6I2-1160

Paper Status: published

Published: March 5, 2020

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Research Paper

Fruit quality detection using machine vision techniques

Machine vision techniques are now widely used to detect the quality of fruits. Image processing is usually the first step in detecting the quality of fruits. The process starts by capturing the image of the fruits using raspberry pi. Then, the image is transmitted to the processing stage where it can extract the features of the fruit like shape, size, and color. These processes are done using image processing. It helps to identify and compare the fruit shape, size, and color with the trained datasets. This is done during the training and testing stage. A diversity of methods for automatic separation of fruits is developed. Artificial Neural Network is the one that helps to segregate the fruits based on the quality such as good, moderate and rotten fruit. The existing system can only separate the fruits into good and rotten one with an accuracy of 87.4% but our proposed system is capable of separating the fruits into good, moderate and rotten one with an accuracy of 94.12%.

Published by: S. Krishna Kumar, J. Kaviya, G. Dilip Prakash, K. Srinivasan

Author: S. Krishna Kumar

Paper ID: V6I2-1148

Paper Status: published

Published: March 5, 2020

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