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Research Paper

India monthly temperatures – A statistical analysis

In this paper, with the help of various mathematical tools and functions, I will analyse how the temperatures in India have fluctuated over the course of 5 years from January 2015 to December 2019. The tools or functions will help to forecast the future range of temperatures but the values forecasted do not consider any external factors and are instead estimated on the basis of the previous values. Time series tools will also be used to establish or to find a general trend of the temperatures in India.

Published by: Aakash Sarkar

Author: Aakash Sarkar

Paper ID: V6I2-1180

Paper Status: published

Published: March 9, 2020

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Research Paper

Foreign Exchange Rate

In this paper with the help of mathematical tools, I will analyze how the Foreign Exchange Rate of India and the USA have fared over the span of 3 years from March 2017 to February 2020. The tools will help to forecast the future value of the foreign exchange rate but the values forecasted do not consider any external factors and are based on the previous values. We will also use time series tools like moving averages to find the general trend of the rate.

Published by: Divyanshi Agrawal

Author: Divyanshi Agrawal

Paper ID: V6I2-1202

Paper Status: published

Published: March 9, 2020

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Research Paper

Yes Bank Performance

Using mathematical tools to judge the performance of Yes Bank shares and forecasting the future prices based on prices since December, 2019.

Published by: Devansh S. Babaria

Author: Devansh S. Babaria

Paper ID: V6I2-1184

Paper Status: published

Published: March 9, 2020

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Research Paper

Artificial Neural Network paradigm for cost-effective networks

This paper is going to deal with the introduction for the artificial neural network and the neural network, then the characteristics of Artificial Neural Network, Applications of neural networks, Benefits and the types of learning such as supervised, unsupervised, and Reinforcement learning in supervised it is classified into 2 types as classification, regression, in unsupervised there are mainly two types such as clustering and association. An example of pattern recognition, Bayesian Network, Building the Bayesian network, types of ANN that are the feedback and feed-forward architectures, three important components of ANN and finally the main challenges in ANN and the solutions for the same.

Published by: Vinutha

Author: Vinutha

Paper ID: V6I2-1165

Paper Status: published

Published: March 9, 2020

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Research Paper

Challenges of Governance in India

Governance refers to the process of decision making by administrative authorities, or Governance includes law-making, Institution building, regulation, and administration. All of these are actually intertwined in designing good policy processes and the implementation of these policies. If we take the example of the economic sector of the country it seems here that derisory bankruptcy laws, government ownership of banks and non-bank finical companies, and poor regulations all contribute to the bad debt problem in the Indian financial sector. If we see from another perspective there is a number of catastrophes being faced by governance in India. The daily Incidences, Crime, Violation of law, Poor Policy Process, Economic Crises, Environmental concerns, health education, poor delivery of public services, issues related to women, and other emerging social issues are the key challenges that are being faced by governance in the country. This paper highlights the challenges of Governance in the country in the elegance of basic issues which are now becoming a challenge for the process of Governance in the country. The concept of governance describes by different organizations and authors from time to time. It refers to the governing process of a country in simple terms.

Published by: Shakeel Ahmed

Author: Shakeel Ahmed

Paper ID: V6I2-1162

Paper Status: published

Published: March 8, 2020

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Research Paper

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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