Volume 6 | Issue 3 |

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Retention effort, Retention problem, Expectation satisfactorily fulfilled, Career goals, sufficient recognition, Training and career development.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Fine aggregate, Mill scale, Rice husk ash, Compressive strength, 7, 14 and 28 days curing

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Volatile nature of capital market the decision making process for an investor is very difficult. The major factors to be considered while making investment decision are risk and return. An informed investor has to seek an effective trade-off between these two factors. Portfolio is a combination of securities such as stocks bonds and money market instruments. Diversification of investments over different assets helps to reduce risk without sacrificing return. When determining a proper asset allocation one aims at maximizing the expected return and minimizing the risk. An effort to construct an optimal portfolio from 15 top performing shares which are constituents of NSE index. This study is very helpful to get an awareness of various decisions in Capital Market.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Volatile, risk, return, RSI, MACD, ADX, Chaikin

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Digital Images having a prominent role in applications of our daily life like magnetic resonance imaging, computer tomography, satellite television and in department of research and technology. This paper represents Single Image Visibility Restoration of Hazy Scenes using Bi-Orthogonal Wavelet Transformation technique. The outdoor images which are captured in poor weather like fog and haze are referred as hazy images and these images reduces the contrast. The visibility of digital images will be poor due to presence of different atmospheric substances which absorb and results in light scattering between captured object and digital camera. Image Dehazing techniques are categorized into three approaches and those are additional information approach, multiple images approach and single image approach. Here, Single Image Approach is preferred because of its low cost and flexibility. Image dehazing model is proposed with utilization of adaptive gamma correction technique, median filtering and dark channel prior technique. Dark channel prior method [5] is used to estimate scene depth in single image and to estimate one color channel with low intensity. This restoration technique uses difference in color values and enhanced transmission to achieve a scene with better quality and haze free. Simulation results will show good haze free images with better contrast under different weather conditions. The goal of restoration from hazy image is achieved by using a software tool MATLAB.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Image, Image Denoising, Hazy Image, Image Dehazing, Bi-Orthogonal Wavelet Transform

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

ABSTRACT The present investigation deals with the assessment of pollution status along the wet land of Thane creek, which has been subjected to a lot of pollution from the industrial complexes and residential areas. This project advocates habitat conservation and ecological studies with special reference to the physiochemical characteristics and heavy metal pollution in the soil along the creek area. In present investigation the pH, BOD, COD values recorded. It was observed that the nitrate concentration increased with addition of point sources but remained with an acceptable range. Phosphate concentration increased with addition of point sources.The presence of harmful material have mark an effect on the aquatic flora and fauna, which through biomagnifications enter the food chain and ultimately affect the human beings as well. The present experimental of the samples collected along the Thane creeks points out to the need of regular monitoring of water resources and further improvement in the industrial waste water treatment methods.If the present condition continues for a long period the creek may soon become ecologically inactive.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

pH, BOD, COD

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In an organization, to find a person physically is a huge task. In an emergency it is more important and more difficult due to pressure. It is easy by simply calling and finding that particular person. But in some organization there is phone jammer or there is no network. In some organization the phone is not allowed inside the campus. Hence finding a person is not easy. Even a attendance is also a huge issue for organization, hence by using this teacher tracking system we can solve both the problem. We can find a particular person when needed and that also very easily and there will be automatic attendance of that person. After using this there will be no need for using the any other type of attendance system, such as biometric, or traditional register method, etc. this will note attendance fully automatically.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

automatic attendance

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

homomorphic, scalability,AEN

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The main purpose of these project is to handle efficiently the data of the garment industry .In these project we model the system to manage the facts and figures of raw material,quality of fabric,information of different customers,information of available stock and details of invoice etc . This paper aims to explore the demands of Enterprise Resource Planning to supportthe garment industry to preserve their data ,to have evidence of everyday transactions. In these project we have also used the big data concept which can handle large number of data which is very useful for the industry to handle their large datasets in future also. This ERP system helps to shorten the work of garment industrywith ease.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

ERP

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Online Food Ordering ,E-commerce ,distributing, buying, selling, marketing

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Maximum Processing computation and more time consuming task has always been a limit in processing huge network intrusion data. This problem can be minimized through feature selection to condense the size of the network data involved. In this paper, we first preprocess dataset KDD 99 cup. Then we study and analysis of two decision tree algorithms (ID3 and C4.5) of data mining for the task of detecting intrusions and compare their relative performances. Based on this study, it can be concluded that C4.5 decision tree is the most suitable with high true positive rate (TPR) and low false positive rate (FTR) and low computation time with high accuracy.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Intrusion Detection, KDD 99 Cup Dataset, ID3, C4.5

  License

Creative Commons Attribution 4.0 and The Open Definition