Research & Development

Paper Published In National-International Journals,Conference & Workshop



    1. Light-Fidelity: A Reconnaissance of Future Technology

Authors
Dhakane Vikas Nivrutti
Publication date
2013
Journal
International Journal of Advanced Research in Computer Science and Software Engineering
Volume
3
Issue
11
Pages
4
Publisher
IJARCSSE
Description
Nowadays many people are using internet to accomplish their task through wired or wireless network. As no of users get increased in wireless network speed decreases proportionally. Though Wi-Fi gives us speed up to 150mbps as per IEEE 802.11 n, it is still insufficient to accommodate no of desired users. To remedy this limitation of Wi-Fi, we are introducing concept of Li-Fi. As per germen phycist Harald Haas―data through illumination‖–taking the fibber out of fiber optic by sending data through an LED light bulb that varies in intensity faster than the human eye can follow. It’s the same idea band behind infrared remote controls but far more powerful. Haas says his invention, which he calls D-LIGHT, can produce data rates faster than 10 megabits per second, which is speedier than your average broadband connection.
Total citations
Authors
Miss Sonali B Gaikwad, Vikas N Dhakane
Publication date
2017/7
Volume
4
Issue
7
Publisher
IJETSR
Description
Rapidly development of online social networks, millions of social media users like to upload or post or share their daily emotional experiences through text message, images and videos using different social media networks such as twitter, facebook. For the developing various applications the analysis of sentiments in social media users created images are increasingly important. Insufficient investigate has been carried out on the use of text data associate with the images uploaded or posted by the social users, sufficient investigate focusing on the designing of visual features, various conventional methods on image sentiment analysis are used. In this paper a novel approach which exploits latent correlation analysis of multi-views, we will works on sentiment analysis depends on visual and textual contents in social media. From textual and visual contents we were proposing hybrid approach of aggregating sentiments. In this proposed method we employing latent correlation analysis of multi-views (textual and image) to maximized latent correlations between multi-views.
Scholar articles


3. Wireless Communication through Near Field & its Security

Authors
Vikas Nivrutti Dhakane
Publication date
2014
Journal
International Journal of Science and Research
Volume
3
Issue
12
Pages
4
Publisher
(IJSR)
4.Super_Resolution_of_License_Plates_Using_Generalized_DAMRF_Image_Modeling

Authors
Vikas Nivrutti Dhakane
Publication date
2014
Journal
International Journal of Science and Research
Volume
3
Issue
12
Pages
4
Publisher
IJSR
Scholar articles
VN Dhakane, JN Ekatpure

Authors
Mr Dattu B Zambare, VN Dhakane
Description
This dissertation work proposes scheme Data security using patch based approach for Texture Synthesis. System uses the concept of patch which represents an image block of source texture and its size is user defined. A texture synthesis process resamples a smaller texture image, which synthesizes a new texture image with a similar appearance and arbitrary size. The texture synthesis process is weaved into steganography to hide secret messages. In contrast to using an existing cover image to hide messages, the algorithm hides the source texture image and embeds secret messages using the process of texture synthesis. This allows extracting the original secret messages and source texture from a stego synthetic texture. The approach offers some advantages. First, the scheme offers the embedding capacity that is proportional to the size of the stego texture image. Second, the reversible capability inherited from this scheme provides functionality, which allows recovery of the source texture.
Scholar articles
MDB Zambare, VN Dhakane

Authors
Vikas Nivrutti Dhakane, Jalinder Nivrutti Ekatpure
Description
LPR (License Plate Recognition) is a main component of modern transportation management systems. It uses a set of computer image-processing technologies to identify vehicles by its license plate. We propose a novel super resolution (SR) reconstruction algorithm to handle license plate texts in real traffic videos. To make license plate numbers more legible, a generalized discontinuityadaptive Markov random field (DAMRF) model is proposed based on the recently reported bilateral filtering, which not only preserves edges but is robust to noise as well. Moreover, instead of looking for a fixed value for the regularization parameter, a method for automatically estimating it is applied to the proposed model based on the input images. Information needed to determine the regularization parameter is updated at each iteration step, which is based on the available reconstructed image. Character recognition is the core of LPR.

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