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Experimental Study on Self Compacting Concrete Having Grade M70

Self compacting concrete (SCC) is a new category of high performance concrete which flows under its own weight. It does not require any external vibration and compaction. The work focused on concrete mixes having water/cement ratios of 0.25, with a packing factor of 1.12. The Concrete mixes contains constant proportions of Super plasticizers, and constant proportions of Cement, Micro Silica, VMA, Coarse aggregate and Fine aggregate for a constant water cement ratios. The percentage of Micro Silica added is 7% for all mixes. The mix proportions are obtained on the basis of NAN-SU mix design. The mixes contain Cement of 574 kg/m3 for 0% addition of fly ash, it vary for 5%, 10% &15% addition but with same total binder content. The workability tests performed in this research were as per EFNARC specifications. Based upon the experimental results, for a water cement ratio of 0.25, fresh and hardened state properties of high strength self-compacting concrete are evaluated. Due to so many advantages of this concrete, it is suitable for the situations where congested reinforcement is used. In this paper presents self compacting concrete is developed using various percentages of fly ash 0%, 5%, 10%, 15% by weight of cement as partial replacement of cement and the strength of concrete has been assessed.

Published by: Baravkar Amit Balaso, Chandgude Swapnil .K, Yadav Ranjit .D, Kumukale Shilpa .K, Udage Manisha .E, Prof. Ingale Sujata

Author: Baravkar Amit Balaso

Paper ID: V3I5-1230

Paper Status: published

Published: October 6, 2017

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Research Paper

Malaria Cells Detection Using Digital Image Processing Methods

In recent years the image processing mechanisms are used widely in several medical areas for improving earlier detection and treatment stages, in which the time factor is essential to find the sickness in the patient as conceivable as quick, particularly in different ailments, for example, the Malaria fever. Jungle Fever has been drawing in the consideration of restorative and sciatic groups in the most recent years due to its high commonness aligned with the troublesome treatment. Insights from 2008 demonstrate that Malaria sickness fever, all through world, is the one that assaults the best number of individuals. Early discovery of Malaria is imperative for fruitful treatment. There are couple of strategies accessible to identify Malaria cells. Here two strategies for division, for example, thresholding and watershed are utilized to distinguish the jungle fever cell. Image quality and precision is the center variables of this exploration, image quality appraisal and additionally change are relying upon the upgrade arrange where low pre-handling strategies is utilized in view of Depth-Buffer Method. Following the division standards, an improved district of the question of intrigue that is utilized as an essential establishment of highlight extraction is acquired.

Published by: G. Ramyapriyanandhini

Author: G. Ramyapriyanandhini

Paper ID: V3I5-1183

Paper Status: published

Published: October 4, 2017

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Others

OFDM Based Key Generation Technique

With enhancement in wireless technology, security has become an important part in designing of network. Network security is an important aspect of system administration. We are living in a world where there is access to information anywhere, anytime, be it voice, multimedia or data analytics. This information should be provided to the user with the highest possible security. Thus the information exchanged for communication should be highly secured, authentic and only accessible to the authorised user. Recent research has shown that, this security can be provided through RSS (Received Signal Strength) based key generation techniques for authentication of user. But RSS based key generation technique has a drawback that the key generation rate is very low. Also RSS based technique is highly applicable for mobile devices. In M2M Communication the devices can be static or mobile based. So we explore a technic which is based on Key generation through CSI (Channel State Information) of a channel. Key generation using CSI information can be efficient in the terms of providing security as they can generate quiet a long key as compared to RSS based technique. We deploy an algorithm as a solution to key generation without using additional hardware for key generation and verify that the malicious user is not able to decode the key sighting to the randomness obtained to our algorithm. The major portion of the algorithm concentrates on making the key random so that the attacker is not able to decode the key within a time span which is vulnerable to the communication. When an attacker tries to use the same algorithm and try to sabotage the communication, due to the property of CSI information of OFDM channel, the generated key will be different. Thus it will not match with the secret key used for actual communication. Hence the user will not be able to hijack the communication.

Published by: Sandeep Kamble, Kailash T. Jadhao

Author: Sandeep Kamble

Paper ID: V3I5-1225

Paper Status: published

Published: October 3, 2017

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Others

Riverfront Development of Gomati River in Sultanpur City

Sultanpur is distinguished for its unique culture. Sultanpur, and other name kushbhawanpur. Goddess Durga at the beginning of navratra and leaves on vijyadashmi but in sultanpur district, Durga enjoy an extended stay it is the most well-recognized festivals of Sultanpur. About 130 KM from the state capital, this town turn into a ‘mini Kolkata’ during this period with hundred of Durga idols in a vast temple complex. The river area is a heart of Sultanpur. Sultanpur is a headquarters of the Sultanpur district, north side of this district is bounded by faizabad district, south side is bounded by pratapgarh district, the west side is bounded by Barabanki district & Raibareli district. And the east side bounded by Azamgarh district, Ambedkarnagar district, and jaunpur district. Gomati river is which drains almost the whole city and district. Sultanpur has a dry climate with 20 to 28 degree Celsius. This is wonderful Zone of riverfront. These cities no polluted and cleanness. Sultanpur are ecological and natural resources.

Published by: Shradhanand Tiwari, Vandana Pandey

Author: Shradhanand Tiwari

Paper ID: V3I5-1199

Paper Status: published

Published: October 3, 2017

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Research Paper

An Information Extraction Approach with Vehicle and Pedestrian Activity Monitoring For Traffic Management in Smart City

Traffic congestion is one of main concerns of big cities for traffic management. Among different dimensions that make a city smart, one of the very important is transportation. This paper offers an efficient information extraction approach from vehicle and pedestrian activity monitoring for traffic management in smart city. The proposed approach is related to vehicle and pedestrian activity recognition and traffic optimization in order to manage traffic in smart. The traffic management system includes implementation of Particle Swarm Optimization algorithm and Fuzzy Logic Controller in the solution of the traffic signal timing optimization. Moreover, activity recognition is performed to detect traffic lights that are in wrong place, missing and unnecessary. It has been interested not only in activity recognition of vehicles but also in activity recognition of pedestrians in this work. The implementation of this method does not entail complex equipment and feasibility of this proposed method is quite high.

Published by: Canan Tastimur, Mehmet Karakose, Erhan Akin

Author: Canan Tastimur

Paper ID: V3I5-1175

Paper Status: published

Published: October 3, 2017

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Research Paper

Comparison of HOG (Histogram of Oriented Gradients) and Haar Cascade Algorithms with A Convolutional Neural Network Based Face Detection Approach

Face detection is an important computer vision problem that has been working for years. Security and market research are the areas where face detection is used. Face detection is the first step in some problems such as face recognition, age estimation and face expression detection. Several face detection algorithms have been developed up to now. CNN-based algorithms are the state-of-the art technology in image processing problems, as well as other methods in terms of accuracy rates and speed criteria in face detection problems. In this paper, we propose a face detection algorithm having a model like Alexnet. The method is implemented on images from MUCT and FDDB public datasets. In addition, in the study, the Hog feature descriptor and the methods developed with the haar cascade features are compared with the CNN based method using images of the same dataset. Tests show that the proposed method produces better results than the other two methods.

Published by: Emine Cengil, Ahmet Cinar

Author: Emine Cengil

Paper ID: V3I5-1189

Paper Status: published

Published: September 29, 2017

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