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Review Paper

Stock Price Prediction Using Neural Networks

Trading stocks on the stock market are one of the major investment activities. In the past, investors developed a number of a stock analysis method that could help them predict the direction of stock price movement. Modelling and predicting of equity future price, based on the current financial information and news, is of enormous use to the investors. Introduction of machine learning caused that new models can be developed based on the past data. Our main hypothesis was that by applying machine learning and training it on the past data, it is possible to predict the movement of the stock price. Particularly, we want to determine the percentage of growth or fall in a stock price for the next day which can be variable. Usually, investors want to select the stocks which will grow in price substantially.

Published by: Shallu Bashambu, Aman Sikka, Pallav Negi

Author: Shallu Bashambu

Paper ID: V4I1-1346

Paper Status: published

Published: February 13, 2018

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Review Paper

A Review on Closed-Loop Digital Predistortion (DPD) Used To Linearize RF Power Amplifier

Digital pre-distortion (DPD) used to linearize an RF power amplifier (PA) can achieve wide bandwidth distortion cancellation. The predistortion technique is one of the most effective linearization technique. Model-based DPDs also called polynomial based DPDs, are mostly used for the linearization of PA. For the memoryless system, the polynomial model can be used to model the predistorter. For memory system, the models such as Volterra series model, generalized memory polynomial model, Hammerstein model and Wiener model all are used to model the predistorter. DPD architectures can be classified into two types Indirect Learning Architecture (ILA) and Direct Learning Architecture (DLA).In this paper, a survey on different model digital predistortion used to linearize RF power amplifier in different works.

Published by: Sherihan A C, Shameena P P, Ayisha Shamna K K

Author: Sherihan A C

Paper ID: V4I1-1327

Paper Status: published

Published: February 13, 2018

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Research Paper

A Study of Performance Appraisal System of Employees at Cement Industry

India is the second largest cement producer in the world that makes cement industry one of the most important industries in India. In any country, the production and consumption of cement define the country's progress to the certain extent. It comes from iron and steel industry, therefore, it plays the vital role in country's economy. Industry depends upon many factors such as capital, funds, technology and a very important factor is a human aspect, therefore, the need of Human Resource Management (HRM) came in focus where PMS is a very important factor. There are a number of factors, which make an impact on the employee, but PMS plays a vital role. If the workforce is poorly utilized then the growth of future in terms of employee satisfaction would be very tough. HRM is considered as the backbone of any industry including cement industry and PMS is considered as a key factor for building and developing the profitability of cement industry, besides land, technology, capital etc. HRM concept is considered as a sunrise whereas traditional personnel management is considered as sunset concept. HRM has aspired to be a business partner and see the PMS linkage with organization employee satisfaction. Hence, in cement industry, PMS is very important for whole production cycle. To analyze, understand and review the existing performance appraisal system and its implementation process in Shree Cement Ltd.

Published by: Juhi Yadav

Author: Juhi Yadav

Paper ID: V4I1-1283

Paper Status: published

Published: February 13, 2018

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Survey Report

A Survey on Retinal Red Lesion Detection Techniques for Diabetic Retinopathy Screening

Diabetic retinopathy (DR) is a sight-threatening condition occurring in persons with diabetes, which causes progressive damage to the retina. People with diabetes mellitus need annual screening to check for the development of diabetic retinopathy (DR).The early detection and diagnosis of DR are vital for saving the vision of diabetic persons. The early signs of DR which appear on the surface of the retina are the dark lesions such as microaneurysms (MAs) and hemorrhages (HEMs). The shape and count of these features are used to indicate the severity level of diabetic retinopathy. A computer aided diagnosis system can help to reduce the burden on the ophthalmologist and rapidly identify the most severe cases. So in this paper, a survey of different red lesion detection techniques and automated analysis are discussed.

Published by: Shameena P P, Ayisha Shamna. K K, Jamsheera. K

Author: Shameena P P

Paper ID: V4I1-1274

Paper Status: published

Published: February 13, 2018

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Research Paper

An Analysis of Significant Factors of Organizational Climate of Transport Undertakings in Himachal Pradesh

Organizational climate plays a vital role in influencing motivation and performance of employees. It is important that a positive work climate has been created in the organization.  Creation of a favorable work environment by the management is possible only if it understands the changing scenario of the global business world, growing awareness among employees on different issues concerning employment, intensify of competition among the producers and marketers. The present study aims at identifying those significant factors that contribute to motivation and performance of employees working in both public and private sector transport undertakings of Himachal Pradesh. The present study aims to evaluate the significant factors that have contributed to motivation and performance of employees of transport undertakings in Himachal Pradesh from the period 2012-2017. Both primary data has been used to study the objectives. It is collected from the sample of 600 employees of both transport undertakings through judgment and quota sampling. The questionnaire was prepared for the collection of data. To meet the objective of the study, a five-point Likert scale has been developed for certain identifying variables. These statements on five-point scale areas i.e., (1) strongly disagree (2) Disagree (3) undecided (4) agree (5) strongly agree. On the basis of responses from employees of transport undertakings factor analysis has been done to extract the factors from observed variables which affects the motivation and performance of employees.

Published by: Gaurav Sharma, Prof. O. P. Verma

Author: Gaurav Sharma

Paper ID: V4I1-1357

Paper Status: published

Published: February 12, 2018

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Review Paper

Implementation of Advance PCA Algorithm for Security System using Raspberry Pi

As the human life goes on improving, there arise many security issues which sometimes are life risky also. Hence, there comes the need for the security system. As the earlier security system was based on the human inspections that create the faults in the securities.  Hence there come to the security systems based on the various controllers, latest techniques, etc. but, still the optimum security is not achieved.  Thus, the new eras of the face detection security system arise and all the way new technique of security comes.  Even though face detection is a difficult task to make but still the advancing image processing algorithms makes it look so simple. The various image processing algorithms are HAAR, PCA, Eigen Face, Viola-Jones, etc. which have their own limitations. Hence, there comes the advanced algorithms and hence for achieving the optimum security and higher efficiency, we come with the advance PCA based security system.  This algorithm can be compatible with the automation instrument. The automation instruments are of various types such as a microcontroller, Arduino, raspberry pi, etc. thus for the best result along with the cost-effectiveness, we are using the raspberry pi as a controlling instrument. This instrument provides the ability of the storage in the form of database. Thus, database helps to detect the face and allow the recognized person only. Thus this will helps to improve the security.  Thus, this paper consists of the report of working comparison of the various face detection projects based on the raspberry pi module with our project.

Published by: Saurabh K. Patil, Narendra G. Narole

Author: Saurabh K. Patil

Paper ID: V4I1-1353

Paper Status: published

Published: February 12, 2018

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