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Review Paper

Applied to animal breeding for disease resistance

Animal diseases cause significant losses to livestock’s and breeders, resultant into direct damages to animals, reduced productivity and cost of treatment. One of the promising additional methods to control diseases is breeding animals for disease resistance. The resistance of animals to diseases is related to their ability to withstand pathogens and harmful environmental influences. For the planned control of hereditary diseases in domestic animals, it is required not only an accurate knowledge of their inheritance but also an accurate and monotonous description and designation of the disease. Therefore, in order to avoid misunderstandings in identifying hereditary anomalies in domestic animals, an international nomenclature has been created for their description and designation. According to this nomenclature, hereditary diseases of each species of animals are designated by a certain letter of the alphabet. Specific diseases peculiar to this species are characterized by numerical indexes. Developments in technologies, such as genomic selection, may help overcome several of the limitations of traditional breeding programmes and will be especially beneficial in breeding for lowly heritable disease traits that only manifest themselves following exposure to pathogens or environmental stressors in adulthood. The current paper provides a brief overview of the present-day application of microsatellites markers in animal breeding and makes a significant contribution to the overall farm animal health and resistance to disease.

Published by: Ashraf Ward, Ismail M. Hdud, Omry M. Abuargob, Sergey Y. Ruban

Author: Ashraf Ward

Paper ID: V4I3-1204

Paper Status: published

Published: May 1, 2018

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Research Paper

Enhancing cloud security by analyzing venerability of cloud server in DDOS attack

Now a days more and more services and applications are emerging in the Internet, exposing sensitive electronic data in the internet has become easier. Web services cause’s personal data to be cached, copied, and archived by third parties, often without our knowledge or control. To provide confidentiality and privacy is very important today to enterprises and other users to use cloud services. Cloud is becoming a dominant computing platform. Researchers have demonstrated that the essential issue of DDoS attack and defense is resource competition between defenders and attackers and maintain data venerability in the cloud. Major problem in clouds are load balancing and sharing the data to the particular user. In our project will propose a job scheduling and attribute base data sharing.

Published by: Vilas R. Bodkhe

Author: Vilas R. Bodkhe

Paper ID: V4I2-2188

Paper Status: published

Published: May 1, 2018

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Research Paper

Geopolymer concrete with replacement of silica fume and foundry sand

A concrete use around the world is second only to water. The production of ordinary Portland cement contributes 5-7% of total greenhouse gas emission. It also consumes large amount energy. Hence it is essential to find the alternative to cement. Silica fume it is an ultrafine powder collected as a by-product of the silicon and ferrosilicon alloy production. It is also rich in silica and alumina. In this paper, silica fume is used to produce a geopolymer concrete. Geopolymer is a material resulting from the reaction of a source material that is rich in silica and alumina with the alkaline solution. Geopolymer concrete is totally cemented free concrete. In geopolymer, silica fume act as the binder and alkaline solution act as an activator. Silica fume and foundry sand are totally replaced and alkaline activator undergoes polymerization process to produce aluminosilicate gel. Alkaline solution used for present study is the combination of sodium hydroxide (NaOH) and sodium silicate (Na2Sio3) with ratio 3. A grade chosen for the investigation were M25.The mix was designed for molarity of 8M. Hot air curing is done by placing the specimens in the electric oven at 60ºC for the 24hours duration and 7days 14 days and 28days test is carried after heating. The geopolymer concrete specimens were tested for their compressive strength, flexure strength and split tensile test. Experimental investigations have been carried out on workability, the various mechanical properties of GPCs.

Published by: Aysha Banu. M, Yuvaraj. R, Saranya. P, Girija. S

Author: Aysha Banu. M

Paper ID: V4I2-2186

Paper Status: published

Published: May 1, 2018

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Research Paper

Credit card fraud detection using Naïve Bayes model based and KNN classifier

Machine Learning is the technology, in which algorithms which are capable of learning from previous cases and past experiences are designed. It is implemented using various algorithms which reiterate over the same data repeatedly to analyze the pattern of data. The techniques of data mining are no far behind and are widely used to extract data from large databases to discover some patterns making decisions. This paper presents the Naïve Bayes improved K-Nearest Neighbor method (NBKNN) for Fraud Detection of Credit Card. Experimental results illustrate that both classifiers work differently for the same dataset. The purpose is to enhance the accuracy and enhance the flexibility of the algorithm.

Published by: Sai Kiran, Jyoti Guru, Rishabh Kumar, Naveen Kumar, Deepak Katariya, Maheshwar Sharma

Author: Sai Kiran

Paper ID: V4I3-1165

Paper Status: published

Published: May 1, 2018

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Research Paper

Chatbot for education system

The purpose of this paper is to develop an automated system which gives a reply to a user query on behalf of a human for the education system. It can give an answer to each and every query asked by the end user. Existing chatbots such as facebook chatbot, WeChat, Natasha from Hike, Operator, etc. were giving reply from its local database. But our approach is to focus on the local database as well as web database and also to make system scalable, user-friendly, highly interactive. Various techniques such as machine learning, NLP, pattern matching, data processing algorithms are used in this paper to enhance the performance of the system.

Published by: Guruswami Hiremath, Aishwarya Hajare, Priyanka Bhosale, Rasika Nanaware, Dr. K. S. Wagh

Author: Guruswami Hiremath

Paper ID: V4I3-1155

Paper Status: published

Published: May 1, 2018

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Research Paper

Underwater optical wireless communication analysis using blue laser diode

In the proposed system, a 450nm blue laser diode is directly modulated by 16 Quadrature Amplitude Modulation (QAM) data which are orthogonal. The simulation is done by assuming underwater with ambient noise present in the underwater covering a distance of 20 meters. Due to the presence of noise and attenuation of the wireless medium, the optical power is decreased to a great extent. The photodetector converts the weak optical signal to electrical signal. The phase and amplitude of the signal is change caused by noise present in it. A Butterworth filter is implemented to obtain the original signal at the receiver side. It is shown that the output binary data has change due phase due to the corruption of the noise.

Published by: Malsawmdawngliana, Dr. K. Kalimuthu, Dr. Sabitha Gauni

Author: Malsawmdawngliana

Paper ID: V4I3-1143

Paper Status: published

Published: May 1, 2018

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