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Recent Papers

Smart Vehicle

Automobile is probably the one which has significantly changed human life. In the last two decades it spread drastically in every level of society hence, safety becomes the main concern. Road Accidents account a severe threat to the lives in both ways physically as well as financially. even after digital control of the vehicle. Many people lost their life every year in vehicle collision .We have developed a device which will automatically activate the safety switches on stipulated time before unusual situation. The aim of this project is to build a cost effective Adaptive Front Lighting System with automatic turn indicator, with fog sensors and solar powered batteries for more efficient and reliable power source, that will help achieve enhance safety, comfort and reliability. The new design and build can fit into an existing fixed headlamp with a very close eye on cost and reliability. Use of existing headlamps will also allow the AFLS addition to maintain the vehicle’s conformity to existing vehicle aesthetics as well as government regulation.

Published by: Avinash Gupta, Ashish Yadav, Yash Vardhan Gaur

Author: Avinash Gupta

Paper ID: V3I3-1419

Paper Status: published

Published: May 31, 2017

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Improved Learning for Special Ones Using Image Mapping

Hearing Impaired students have always have had issues when it comes to quality education. Same education is not provided to normal students and hearing impaired students. Due to this, they do not have equal opportunities as compared to normal students and they are always having an inferiority complex. This is because there is a vast gap between hearing impaired students and normal students. We designed a system that enables the same education curriculum to be used for both normal and special students. With some elementary techniques such as text mining and image mapping, we designed a system that will translate text entered in that system to images so that a visual representation can be obtained for better understanding.

Published by: Poorva Awale, Gaurav Bhosale, Vishakha Panchal, Prof.Suhas M. Patil, Shubham Kumbhar, Atish Kulkarni

Author: Poorva Awale

Paper ID: V3I3-1256

Paper Status: published

Published: May 31, 2017

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Face Recognition To Handle Facial Expression, Occlusions And Posture Variation

In this paper, we present a framework for analyzing faces, with the specific goals of matching, comparing, and averaging their shapes. Here we handle variations of facial expression, pose variations, and occlusions between a gallery and probe scans. The radial curves are drawn from the nose tips and filled to the occluded part to form the shape of full facial surfaces. This representation seems natural for measuring facial deformations and is robust to challenges such as large facial expressions, large pose variations, missing parts, and partial occlusions due to glasses, hair, and so on. In this, we consider ORL data set for handling different types of challenges, like SVD is used to the estimation of missing facial parts. Here we using MATLAB for implementing our project.

Published by: Bharti Khemani, Dr. Archana Patankar

Author: Bharti Khemani

Paper ID: V3I3-1301

Paper Status: published

Published: May 31, 2017

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Classification of Land and Marine Resources Using SVM Classifier

In the last several years, there have been significant decrease in ecosystem marine and terrestrial resources. Therefore the conservation and management of these natural resources are very essential aspect for the present and for future generation. The main objective of the paper is to build and develop the advanced image processing methods applied to remote sensing images for the marine and land resources conservation. Different image processing techniques have been implemented in preprocessing stage in order to acquire high resolution satellite imagery. The paper in mainly focused on three ecosystems from the canary islands where, after different evaluation and extensive analysis are made. Pansharpening process is used to enhance the image quality, then, a different RPC models have been used to perform the orthorectification and finally, advanced techniques have been used for atmospheric correction. The final procedure is to develop the marine and terrestrial product map using advanced classification techniques for the management of marine and natural resources.

Published by: Raghunatha .M, Prof. Shobha .S

Author: Raghunatha .M

Paper ID: V3I3-1345

Paper Status: published

Published: May 31, 2017

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Video Transmission in Heterogeneous Network with Improved QOS

Wireless communication systems that consist of cellular, WLAN and Wi-Max access networks simultaneously are termed as heterogeneous wireless networks. Heterogeneous networks connect computers and other devices with different protocols. In the existing system the Greedy Approach was used for video transmission in heterogeneous network. It minimizes the video quality distortion by scheduling the most valuable packets for transmission. But there is a loss occurs when large number of packets is transmitted. The proposed work considers Wi-Fi and Wi-Max in the heterogeneous network for transmission. In this process for multi-resolution video transmission to heterogeneous clients and for channel adaptation, Scalable video coding (SVC) is being developed in response to the need of robust video delivery for heterogeneous clients. The clients receive and decode different fractions of the video bit stream to obtain the desired resolutions and qualities. Multicast probe (MP) frame was initiated which contains the information of the video bit stream and the timer starts for the multicast response (MR) frame. Upon receiving the MP frame, if a client does not subscribe to the multicast group, the MP frame is simply ignored. Otherwise, an admitted client estimates the signal-to-noise ratio (SNR) and path loss of its wireless channel. The simulation results are performed using MATLAB.

Published by: M. Edhayadharshini, Alamelu

Author: M. Edhayadharshini

Paper ID: V3I3-1350

Paper Status: published

Published: May 31, 2017

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Irrigation Water Management and Crop Production

Agriculture being a key element of the national economy is challenged by variety of problems in development planning. Among these the major ones are climatic changes, topographic constraints, population pressure, ecological degradation & low level of technological advancement, so it needs good potentials of agricultural development. One of the mitigation to reduce challenges of this development is Irrigation practices Looking at this Irrigation Project area, it is with trace amount of rainfall over the year, this does have direct impact on human & cattle population, so it has to be supported by irrigation. Residents of the area develop Teff, Maize & sorghum though the available rain is not promising to harvest yield that even can feed few months. There is no promising grazing area for the cattle of the area too. Irrigation from its very nature has the capacity to solve animal feeds. The methodology used in this development study was aimed at plainly defining and describing the agronomic situation of the area and out lining the major crop production constraints and developing recommendation for implementation. Primary and secondary data were collected from the Kebele development agents, farmers and Wareda agricultural and development office using checklists through group discussion and key informant interview on crop production, cropping pattern, farming practice and production constraints. Crop water requirements of crops are computed using crop wat 4 windows model. In general, as a conclusion the agro-climatic condition of the project site, the suitability of the soil for crop production, physical feature of the command area and the availability of irrigation water are suitable for development of irrigation. Despite the above facts, the sustainability of the project is very much dependent on the full participation of the beneficiaries in all aspects of the project implementation. The participatory approach will create a sense of responsibility and ownership and greatly contributes to the success of the irrigation schemes constructed in previous years.

Published by: Ebissa G. K

Author: Ebissa G. K

Paper ID: V3I3-1403

Paper Status: published

Published: May 31, 2017

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