Manuscripts

Recent Papers

Effect of the Fungicide Dimethomorph at Different Application Rates on Enzyme Activities in Groundnut (Arachis Hypogaea l.) Soils

Soil microbial diversity is indispensable to maintain functional diversity and enzyme-mediated critical soil processes that detoxify soil from environmental pollutants, like pesticides. Thus, the present study was carried out to assess the effect of different concentrations of the fungicide dimethomorph on the activities of phosphatase, and urease, of black and red soils of groundnut cultivated fields of Anantapuramu District , Andhra Pradesh, India

Published by: P. Ramanamma, D. Meghana, V. Rangaswamy

Author: P. Ramanamma

Paper ID: V3I3-1359

Paper Status: published

Published: May 31, 2017

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Study Of Mechanical Behavoir Of Composite Material By Vibration Analysis

In present time there is an increasing need for an alternative material to conventional materials. Growing interest in using environmental friendly materials brings natural fiber made the composite material in focus. They are strong, lightweight, cheap and biodegradable. But one needs to check whether its properties satisfy that of existing material. The target of the study is to experimentally justify biaxial fiber composite as a promising alternate material. The polymer composite samples are made with natural/synthetic fiber as reinforcement and a synthetic resin as matrix material. To find its natural frequency and damping of the composite materials, vibration test is carried out. ANOVA technique is used to find the level of the parameter.

Published by: Rohit Raman, Upasana Saikia

Author: Rohit Raman

Paper ID: V3I3-1298

Paper Status: published

Published: May 30, 2017

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Implementation of Secured Sensor Nodes Using Cryptographic Algorithms

Application of wireless sensor networks (WSN) to commercial, home environments and military purpose are increased in wide range. As the wireless sensor networks continue to grow, they are vulnerable to attacks and hence need for security mechanisms. Identifying suitable cryptography for WSN is important challenge due to limitation of energy, computation capacity and storage resources of sensor nodes. For this purpose, Cryptography plays a vital role in securing the data in W SN. In this paper we implemented two symmetric cryptographic algorithms algorithms: block cipher AES (Advanced encryption standards) and the Lightweight block cipher PRESENT. Our main aim of implementing the symmetric cryptographic algorithms in sensor nodes to provide secure communication which guarantees the confidentiality, integrity and avoids key exchange via unsecured channel that impose real threats. The experimental results are carried by implementing these algorithms in Atmega 32 bit microcontroller using simple C codes.

Published by: M. Jothimeena, R. Sherin jenny

Author: M. Jothimeena

Paper ID: V3I3-1398

Paper Status: published

Published: May 30, 2017

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Experimental Investigation of Mortar Cube with Pumice Powder and Ceramic Tile Powder

An experimental investigation was carried out to evaluate the properties of cement Mortar. In this project study, ordinary Portland cement is replaced partially with pumice powder and fine aggregate is replaced partially with ceramic tile powder. In this research is to study the utilization of ceramic waste as a partial replacement of fine aggregate in a mortar. In this experimental investigation, prepare mortar cube of size 70.7mm x 70.7mm x 70.7mm with mix proportion 1: 3. The aim of this study is to determine the optimum % replacement of pumice powder in mortar cubes. .Cement mortar is made by replacing cement with pumice powder of different percentages like 5%, 10%, 15%, 20% & 25% with curing of 3, 7 & 28 days. The various combinations of pumice powder and ceramic waste powder were added to the mortar. Compressive strength test, splitting tensile strength test, water absorption test and the density test were performed and the results were analyzed. Mortar cube shows light weight behavior by replacing cement with pumice powder. The density of mortar is decreasing by adding pumice powder. The density of mortar cube is increasing by adding pumice powder and ceramic tile powder. Mortar cube shows almost similar strength compare to conventional mortar by adding pumice powder and ceramic tile powder.

Published by: Jitha Mathew .V

Author: Jitha Mathew .V

Paper ID: V3I3-1389

Paper Status: published

Published: May 30, 2017

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Implementation of Anonymous and Secure Communication System with Group Signatures

For Privacy Preserving Communications Both Anonymity and end to end encryption mechanism is essential. Identity Based Encryption technique is best suitable for secure and anonymous communications. For solving anonymous and secure communication problems both cryptographic and IBE based protocols needed which governs the proper communication between two parties. For the purpose of authentication of the user proxy server is maintained between user and service providers. The GM and KGC is essential in anonymous communication for issuing both signing and decryption keys for getting plaintext from ciphertext in original form. Public key encryption and digital signature mechanism needed for guarantees of secure communication between both ends. Finally protocol realizes secure and anonymous communication between sender and receiver. The Communication Protocol along with IBE and Group signatures allow secure anonymous authentication. In this way, illegitimate users cannot use anonymous system and cannot effect the communication between source and destination whereas legitimate users access systems without compromising anonymity. In this way the proposed system get secure and anonymous communication over the network. Keywords: Anonymous Communication, Anonymous Authentication, Secure Channel, Identity-Based Encryption, Group Signature.

Published by: Mr. Vaibhav P. Thakare, Prof . Chetan J. Shelke

Author: Mr. Vaibhav P. Thakare

Paper ID: V3I3-1370

Paper Status: published

Published: May 30, 2017

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Research Paper

Development of Data Mining Model for the Evaluation of Human Skill Placement in the Engineering Sector

Data mining is one of the widespread research areas of present time as it has got wide variety of application to help people of today’s world. It is all about finding interesting hidden patterns in a huge history database. In this research work, data mining is comprehensively applicable to a domain called placement chance prediction, since taking wise career decision is so crucial for all of us for sure. A strategy to predict the overall absorption rate for every branches as well as the time it takes for all the students of a particular branch to get placed etc. are also proposed. From each combination of attributes from the history database of student records, corresponding placement chances is computed and stored in the history data base. From this data, various popular data mining models are built and tested. These model can be used to predict the most suitable branch for a particular new student with one of the above combination of criteria. A strategy to predict the overall absorption rate for various branches as well as the time it takes for all the students of a particular branch to get placed etc. are also proposed. The proposed method is tested on the data set provided by A.I.M.T college Lucknow and data is passes through the various data mining model, namely decision tree ,neural network and navie bayes classifier on area of the application to a domain, development of classifier and future outcomes were also configured on this thesis. At last this research work puts forward the data mining algorithm namely C 4.5 * stat for numeric data sets which has been proved to have competent accuracy over standard benchmarking data sets called UCI datasets. It also proposes to improve the standard C 4.5 algorithm.

Published by: Arun Mishra

Author: Arun Mishra

Paper ID: V3I3-1407

Paper Status: published

Published: May 30, 2017

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