Vishal atomic model
This atomic model reveals the new structure of quantum shape of an atom
Published by: Vishal Shiva
Author: Vishal Shiva
Paper ID: V5I3-1516
Paper Status: published
Published: May 21, 2019
Experimental analysis on strengthening of RC member before and after rehabilitation
In today’s world affordable and mass housing plays a vital role in human development. Due to population growth, economic conditions development in building construction, a deficit in raw material leads to an increase in raw material cost. Concrete structural material that in modern times is made by post-tensioned and prestressed concrete is introduced in modern technology nowadays, In the modern world, we have constructed the R.C.C Framed structures only, for that structure can retain as Strengthening technique used as rehabilitation for the traditional building as it is as per actual strength before and after. This project we carried out for the experimental study on the strengthening of RC member before and after rehabilitation, for what extend level it can by capable to stability on maximum load and crack pattern developing in these sectional properties of structures we have to investigate and carried out the critical load and find analytically and experimentally. In this study, we can analysis of structure theoretical and practically proved by experimental study. The objective of this study is to produce concrete column and beams casting as per the high-performance concrete grade M25 to M40 as per the bonding strength by using raping material with construction chemicals. For this, cast by mold and also done Laboratory tests are conducted to study the behavior of column and beam subjected to critical loading. The load test results showed that the load carrying capacity for this crack paternity stability to carry the critical load for beam and column, we proved as theoretical and practically by using experimental study on strengthening of beam and column.
Published by: Wazeer Mohammed
Author: Wazeer Mohammed
Paper ID: V5I3-1507
Paper Status: published
Published: May 21, 2019
Classification of satellite images using cellular automata
Satellite image classification is a substantial technique that is utilized in faraway sensing for the automatic evaluation and sample attention of the satellite tv for pc information, which provides the mechanical interpretation of a massive amount of data. Image classification introduces to label the photographs into the number of predefined categories. The Satellite Image classification consists of photograph sensors, photograph pre-processing, object detection, object segmentation, attribute extraction, and facts analysis. Many classification strategies have been derived for photograph classification. This paper will cover the study concerning the fundamentals of a number of classification methods used in the satellite tv for pc picture classification have been described. In this paper, a tabular assessment of the beforehand proposed methods has been presented for the better perception of these techniques.
Published by: Nandhini
Author: Nandhini
Paper ID: V5I3-1531
Paper Status: published
Published: May 21, 2019
An experimental investigation on high strength concrete using steel fibre
The Steel fibers to plain concrete is intended both to improve the material's ductility and that of structure in which Concrete is the most widely used structural material in the world with an annual production of over seven billion tons. For a variety of reasons, much of this concrete is crack. The reason for concrete to suffer cracking may be attributed to structural, environmental or economic factors, but most of the cracks are formed due to the inherent weakness of the material to resist tensile forces. It is now well established that steel fibre offers a solution to the problem of cracking by making concrete tougher and more ductile. It has also been proved by extensive research and field trials carried out over the past three decades, that steel fibres to conventional plain concrete members at the time of mixing/production imparts improvements to several properties of concrete, particularly those related to strength, performance, and durability. The concrete so produced is brittle in character and steel fibers can lengthen the time elapsed before cracking. Higher strength is one of the features of which provides significant structural advantages. This Thesis presents the experimental investigations carried out to study the effect of steel fibers varying in weight fractions of 0%,0.75% on high strength concrete using the mix design of M60 concrete.
Published by: Abinaya N.
Author: Abinaya N.
Paper ID: V5I3-1505
Paper Status: published
Published: May 21, 2019
Effect of waste polythene use in different modifier bitumen in flexible pavement
The use of waste polythene is increasing week by week. The waste polythene pollutes the environment, especially where there is no garbage collection and disposal system. A large amount of plastic collected from the tourist trekking regions and housing area are discarded or burned which releases harmful gases into the environment. The waste polythene collected from domestic and industrial sectors can be used in the production of plastics coated aggregate. Waste polythene, mainly used for packing and carrying any food. It’s made up of Polyethylene, Polypropylene, and polystyrene. Their softening point varies between 110 degree Celsius to 140 degree Celsius and if the wastes polythene is heated within this temperature range then they do not produce any toxic gases but the softened waste polythene have tendency to form a film like structure over the aggregate, when it is sprayed over the hot aggregate at 160 degree Celsius to 170 degree Celsius. The Plastics Coated Aggregates (PCA) is a better raw material for the construction of flexible pavement. PCA was mixed with hot bitumen of different types and the mixes were used for road construction.
Published by: Mayank Mohan Mishra, D. S. Ray
Author: Mayank Mohan Mishra
Paper ID: V5I3-1475
Paper Status: published
Published: May 20, 2019
Over view on stock predictor using machine learning and deep learning
The trust which has grown in the power of deep learning models has made the finance industry very eager and with dynamical attitude to apply them in practice as it has been for the past few years. There are a variety of methods and techniques used which have remained very separate from each other in their approach. During the course of this survey, we intend to study the various techniques currently being used to predict or analyze the market and attempt to make a hybrid model so that a wider domain is covered in order to make better predictions.
Published by: Prashanth G., Siddharth Raval, Siddharth K S, Pranay Raj, Sunanda Dixit
Author: Prashanth G.
Paper ID: V5I3-1373
Paper Status: published
Published: May 20, 2019
