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Phyto-Toxic Effect of Chromium of Cow Pea (Vigna Unguiculata (l.) Walp.)

A laboratory experiment was conducted to determine the phototoxic effect of [Chromium (Cr) Potassium dichromate (K2 Cr2 O7)] on seed germination and seedling growth of cow pea [Vigna unguiculata (L.) Walp.]. The seeds were treated under 5, 25, 50, 75, 100, 125 and 150 ppm of Cr concentration solutions individually. Each treatment was replicated thrice in a randomized block design. Observations were complete on Germination Percentage, Root and Shoot Length, Number of Leaves, Total Leaf Area, Fresh and Dry Weights of seedling. And Phytotoxicity, Tolerance Index, Vigour Index and pigments content such as Chlorophyll ‘a’, Chlorophyll ‘b’, Total Chlorophyll and carotenoid content of cow pea seedlings at 14th days of seedlings. Among the results gradual increase in Cr concentration under different treatments significantly leads to inhibition of seed germination and other growth parameters. Percentage of phytotoxicity showed an increasing trend with gradual increase in Cr concentration for the cow pea seedlings. Maximum inhibition in all growth parameters and pigments content were recorded.

Published by: K. Prakash, T. Ravimycin, P. Thamizhiniyan

Author: K. Prakash

Paper ID: V2I6-1269

Paper Status: published

Published: December 27, 2016

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Educational Data Mining: Recognizing and Forming Groups of Competent Students For Contests

Educational Data Mining is an area where in a combination of techniques such as data mining, machine Learning and statistics, is applied on educational data to get valuable information. The main objective is to recognize competent students based on marks are using clustering (X-means algorithm); then the subjects studied by them are classified into different categories and finally better combination of students as groups or teams are chosen to represent college for contests using association rules. To assess the performance of the proposed model, a student dataset of MCA from a college in Bangalore were collected for the study as a synthetic data. The accuracy of the results obtained from the proposed model was found to be promising. It was found from the study that 3 groups of 2 teams per group emerged as better combinations.

Published by: Ashok M V, Apoorva A, Dr. G Suganthi

Author: Ashok M V

Paper ID: V2I6-1268

Paper Status: published

Published: December 27, 2016

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Machine Learning and SOA Based Building Management System

In order to attain energy saving with efficiency and supply good services automatically for users, the design of a sensible energy observance and management system using the Microsoft neural network and computationally non tolling formula is projected in this paper. By monitoring the ability consumption data, surroundings data and users’ scenario data, the system supported the design will calculate the proportion of wasted energy consumption supported the energy consumption data point, give sensible services based on the person-device interaction, and forecast the energy consumption supported the user energy consumption behaviors. The system is combined with cloud computing for data storage and processing. This document illustrates the propose and execution of the system structural design.

Published by: Sandhiya. B.

Author: Sandhiya. B.

Paper ID: V2I6-1266

Paper Status: published

Published: December 27, 2016

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Effect of Interference of UMTS and WLAN during Handoff

In this paper the performance of WLAN is analyzed in the presences of UMTS nodes. To analyze this interference UMTS are nodes are moving using different trajectories. While moving UMTS nodes handoff (soft and hard) techniques are used in this paper. To analyze this effect OPNET modeler is used. The performance is compared In terms of load, media access delay and packet delay variation. The result shows that the performance of soft handoff is better than hard handoff.

Published by: Ramandeep Sethi, Pankaj Sharma, Puneet Jain

Author: Ramandeep Sethi

Paper ID: V2I6-1265

Paper Status: published

Published: December 27, 2016

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Effect of Varying Source Node, Relay Node and Mobility in MANET

In this paper the effect of entering different routing protocol in a network is analyzed. To analyze this effect number of nodes are vary from 25 to 65 nodes. In this paper the 25 nodes are move at low speed and 65 nodes are moving at high speed. To analyze this effect opnet modeler 14.5 is used. The performance is compared in terms of throughput, load and media access delay. Results show that when only aodv is used performance is good when other protocols enter into the network then performance decrease.

Published by: Lovepreet Singh, Pankaj Sharma, Puneet Jain

Author: Lovepreet Singh

Paper ID: V2I6-1264

Paper Status: published

Published: December 27, 2016

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Improved Color Image Steganographic Technique in Transform Domain

Steganography is the process of embedding original message bits on some carrier file. The carrier file may be text file, image file, audio file or video file etc. If that carrier file is an image file, then that technique is called Image steganography [1]. If color image is used as a carrier file to embed data bits, then that type of steganography technique is called as color image steganography [7]. In this proposed work, embedding the original message bits in the transform domain of the carrier color image without considering the green plane, hence it is resulting in high quality stego image. Hence this technique is called as improved color image steganography technique in transform domain. Here in this paper, DCT (Discrete Cosine Transform) technique has been used.

Published by: K. S. Sadasiva Rao, Dr A. Damodaram

Author: K. S. Sadasiva Rao

Paper ID: V2I6-1260

Paper Status: published

Published: December 26, 2016

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