Christ University

About: Christ University is a education organization based out in Bengaluru, India. It is known for research contribution in the topics: Computer science & Convection. The organization has 2267 authors who have published 2715 publications receiving 14575 citations. The organization is also known as: Christ College & Christ University.

Fear Estimation Evidence From BRICS And UK

Abstract: The paper aims to build a composite Fear Index for the BRICS countries and UK by adding new dimensions to the initial structure, such as overbought/oversold conditions and commodity impacts. The main purpose is to identify the degree in which fear really percolates down to all the market participants, respectively if this generates a certain asset transfer to Gold. The results point out the GMM model as the best fit for explaining the link between the Fear Index and the behaviour of market participants. It also confirms the transfer of assets to a safer asset class during the phases of high volatility on the market.

Carnatic Raga Recognition

Abstract: Background/Objectives: Carnatic music is one of the oldest and most historic music systems in the world. Its significance in Indian culture and tradition cannot be overlooked. Over the years, with the growth of media and communication, Carnatic music has sparked the curiosity of thousands of music lovers around the world who wish to learn it. Therefore, it is important to ensure that this style of music is preserved and imparted to all aspiring musicians around the world. One of the most challenging milestones in the field of Carnatic music analysis is raga recognition. Ragas are considered the backbone of Indian Classical music. Each composition in Indian Classical music is structured using ragas. Hence, raga identification is very important to analyze and study compositions. Methods: This paper proposes a raga recognition approach that uses pitch determination, segmentation and a key note mapping technique to identify ragas in a song. Compositions of different ragas are analyzed and features were extracted to arrive at a rule for classification. A total of ten ragas were considered for the study and the results obtained were found to be highly encouraging. Findings/Results: The proposed system was tested with different classification algorithms which produced promising results. This method can be expanded to other ragas which were not considered for this paper. Application: Carnatic raga recognition can assist music aspirers in identifying ragas and also help in classifying songs according to their ragas.

Stock Price Forecasting Using ANN Method

Abstract: Ability to predict stock price direction accurately is essential for investors to maximize their wealth. Neural networks, as a highly effective data mining method, have been used in many different complex pattern recognition problems including stock market prediction. But the ongoing way of using neural networks for a dynamic and volatile behavior of stock markets has not resulted in more efficient and correct values. In this research paper, we propose methods to provide more accurately by hidden layer data processing and decision tree methods for stock market prediction for the case of volatile markets. We also compare and determine our proposed method against three layer feed forward neural network for the accuracy of market direction. From the analysis, we prove that with our way of application of neural networks, the accuracy of prediction is improved.

A Review on Value Chain Analysis as a Strategic Cost Management Tool

Abstract: Strategic Cost Management is a stratum of cost accounting that has been a decisive area of decision making in the corporate houses now-a-days. Cost controlling and reduction are the vital areas of discussions in any corporate organizations. The key idea of this literature is to intensify the understanding of value concept and to elucidate the position of value to generate a chain that endow with a fundamental structure for the development of goods or services in an industry. The thought of value under value chain analysis is versatile and intricate. The study has been divided into different parts including a brief on Value Chain Analysis followed by the Primary and Secondary activities involved in the chain. The Technology involved in primary activities has been elucidated. Further, the activities of Competitive Advantage including the Cost advantage and Differentiation have been explained followed by the Linkages, and Interrelationships, existing system’s Accounting challenges to Value Chain Analyses and Outsourcing and the Value Chain System as a whole. The study concludes with select Value Chain cases snippets.