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Recent Papers

Recognition of Online Handwritten Characters Using Lipi Toolkit

Handwritting deformation and complex structure has been one of the most challenging problems in handwritten recognition. In this paper a online handwritten recognition tool has been for recognition. Online handwriting data is collected as strokes, where a stroke is defined as the sequence of data points captured from the event of a pen-down to the subsequent pen-lift. Lipi toolkit engine is used to develop the character recognition system. Lipi toolkit is open source engine. Engine uses backpropagation and nearest neighbour for pattern classification and recognition which employs unsupervised learning algorithms. It has shown that the Lipi engine is feasible for online handwritten English character recognition to a certain degree.

Published by: Tanvi Zunjarrao, Uday Joshi

Author: Tanvi Zunjarrao

Paper ID: V3I3-1416

Paper Status: published

Published: May 27, 2017

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Extracting Deblur Image Using Fuzzy Logic Approach from Impulse Noise in Dip

Image processing is very crucial in today world because various noises, attacks, and many more problem faced by an image from transmitter to receiver side. By applying various algorithms and filters we can remove such type of noises and attacks. Blur detection techniques are very helpful in real life application and are used in image segmentation, image restoration and image enhancement. Blur detection techniques are used to remove the blur from a blurred region of an image which is due to defocus of a camera or motion of an object. Blurring is a form of bandwidth reduction of an ideal image owing to the imperfect image formation process. It can be caused by relative motion between the camera and the original scene, or by an optical system that is out of focus. Deblurring techniques are basically used to sharp an image using different methods & parameters so that we can abundant amount of knowledge. As we know there are various types of noises occurred in an image and to remove various techniques are used. Every technique is suitable for a particular noise and we cannot apply randomly to remove a particular noise. With advancement of time old technique are replaced by advanced method and today Fuzzy Logic is much more appreciated due to simple logic function and it is fourth generation technique

Published by: Renuka Yadav, Munesh Yadav

Author: Renuka Yadav

Paper ID: V3I3-1418

Paper Status: published

Published: May 26, 2017

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Analysis of Cooling Process for Data Centre’s at Africa

Among the most popular cyber centers, there are few problems that generally interrupts the process of complete automation and cooling process. Modern data centers are generally keen to a lot of neatness’s the industry consumes a lot of heat by consuming a huge amount of heat. So, for that, a substantial cooling process is required. This paper is basically a survey on the cooling process and also the human-automation on cyber centers and also a prototype networking software that helps cyber owners to forget their worries about the login and logout time of their customers. This system supports all types of human activities and also provides security and reliability. This paper based on the literature survey finds that Africa is lagging behind this scenario. It is based on Research and process for selecting the best location to build data centers for cloud providers in West Africa. This paper studies this problem by taking main considerations on Network performance, costs, and submarine cables.

Published by: Asha Yadav, Minakshi Memoria

Author: Asha Yadav

Paper ID: V3I3-1312

Paper Status: published

Published: May 26, 2017

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Aqua Silencer

Air pollution is large problem from the public health of view, because every individual person breaths approximately 22000 times a day, inhaling about 15 to 22 kg of air daily. Polluted air causes physical ill effects decide undesirable aesthetic and physiological effects. Air pollution can be defined as addition to our atmosphere of any material, which will have a dexterous effect on life. The main pollutant contribute by automobile are carbon monoxide (CO), unburned hydrocarbon (UBHC), oxides of nitrogen (NOx) and Lead. These toxic gases are harmful not only to atmosphere, but also to the human and animal race. The Pollution Control Aqua Silencer is used in the exhaust to direct the gas from the engine after going through the process of reducing the toxic gases and also water is used to reduce the exhaust noise. The objective of this project is to design and fabricate a simple system, where the toxin levels are controlled through chemical reaction to the more agreeable level. The whole assembly is fitted in the exhaust pipe; it does not give rise to any complications in assembling it. This system is very cost effective and more economical.

Published by: Nitish Kumar, Virendra Pal Singh, Sudhanshu Raj, S. P. Madnawat, Mohan Singh

Author: Nitish Kumar

Paper ID: V3I3-1368

Paper Status: published

Published: May 26, 2017

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A Survey of Multipath Routing protocols in Wireless Multimedia Sensor Networks

There has been an rapid development in the field of wireless senor networks(WSN) in the recent years. The development is mainly due to the availability of small size sensor cameras and microphones The advances in micro electromechanical systems have promoted the progress of a powerful class of sensor-based distributed intelligent systems skilled of ubiquitously retrieving multimedia information, namely Wireless Multimedia Sensor Networks (WMSNs).So the WMSN is the current topic of research due to its applications in various fields. In order to improve the channel utilization rate, reduce transmission delay and balance the transmission load in WMSN multipath routing is a promising solution. Multipath routing helps to transfer data concurrently by reducing the delay and congestion in WMSN. In this paper, various protocols and schemes are being discussed on multipath routing strategy which will identify the areas of further development for WMSN.

Published by: N. Kusuma, Dr. A. Subramanyam

Author: N. Kusuma

Paper ID: V3I3-1371

Paper Status: published

Published: May 26, 2017

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Anomalous Behavior Detection in Crowded Environments Using Classifiers Artificial Neural Network and Support Vector Machine

Our propose method focuses to detect and localize anomalous behavior in videos of crowded area means different scenario from dominant pattern. Proposed method consist motion and appearance information therefore different kinds of anomalies can be robustly identified in a wide range of situations. Histogram of oriented gradients can easily captures varying dynamic of crowded environment. Histogram of oriented gradients can also effectively recognize and characterize each frame of each scene. Our method of detecting anomalies using artificial neural network and support vector machine consist both appearance and motion features which extracts this features within spatio temporal domain of moving pixels that ensures robustness to local noise and thus increases accuracy in detection of local anomaly with low computational cost. UCSD dataset which will be used and which consist various situations with varying human crowds as well as traffic data with occlusions when feed to our propose method can achieve significantly higher accuracy probably more for pixel level events detection as compared to any other methods.

Published by: Meenal Suryakant Vatsaraj, Prof. D. S Bade

Author: Meenal Suryakant Vatsaraj

Paper ID: V3I3-1380

Paper Status: published

Published: May 25, 2017

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