Vignan University

About: Vignan University is a education organization based out in Guntur, Andhra Pradesh, India. It is known for research contribution in the topics: Control theory & CMOS. The organization has 1138 authors who have published 1381 publications receiving 7798 citations.

Investigating the Properties of Wet-Laid Nonwoven Made from Mechanically Fibrillated Jute Fiber

Abstract: The jute fibers have been mechanically fibrillated, and the wet-laid nonwoven fabrics have been manufactured using these fibers at two different concentrations of binder. The mechanically fibrillat...

Site Characterization and Evaluation of Seismic Sources for Amaravati Region

Abstract: After the bifurcation of Telangana from Andhra Pradesh (AP) state in 2014, the Amaravati and adjoining localities has been proposed as a new capital region to the state of AP, India. As per the seismic zonation map of India, the proposed region falls in zone III. However, the prediction of damage level due to earthquakes is highly impossible, as it is influenced by many regional factors. In order to estimate the damage level from the future earthquakes in the present study, the various compositions involved in the regional fields of geological, geomorphological and soil characteristics are evaluated for the selected study region. In addition to this, to understand the seismicity of this region the earthquake catalogue and seismotectonic map have been prepared by collecting the data within 300km radial distance from Velgapudi (16° 52'N, 80° 51'E) as a center. The results of different fields represented in the form of thematic maps for this geographical information system (GIS) software has been used.

Financial Predictions based on Fusion Models-A Systematic Review

Abstract: In this present economic era people want to generate money in terms of profit in a rapid time amount, which is proportional to their investment. This can be happened on making correct business decisions at right times. In general, the economy of any country is purely dependent on business transactions takes place all around the world. In all the sort of businesses the profit gained is proportional to investment, but one business platform which gives profit as multiples is the stock market. If a person selects the right stock - at right time, then the profits are earned. Hence, that the pair selection of the stock and a moment of corresponding stock plays a vital role in profit generation in stock market. The stock market is a very dynamic environment as it was very sensitive towards the each and every event occurred throughout the world. Even though it is very tough to estimate the next movement of any of the stock, many of the professionals are trying to predict the movements of stock market. They used several statistical methods, time series analysis models, machine learning forecasting techniques for the prediction task. The purpose of this study is to find out the suitable best model to predict the stock market, by studying various stock market prediction approaches, which combines different fields like data mining, machine learning and sentiment analysis. During the process of studying various techniques the common things noted are dataset to be formed with stock data and apply feasible preprocessing on it for making ready for further analysis. Apply machine learning algorithms and measure the prediction result as in terms performance measurements like accuracy, Mean Square Error etc. The final conclusions drawn from this survey are, forecasting is the very difficult task as the rapid changes in market movement takes place in stock market. And also for efficient and accurate predictions need to be considered various factors in real world. The efficient stock prediction act as great asset for several stock agencies and also used to overcome the problems of stock investors.