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
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
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
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
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
Survey Paper Analysis On Deblur Image Using Various Technique Method
The image processing is an important field of research in which we can get the complete information about any image. One of the main problems in this research field is the quality of an image. So the aim of this paper is to propose an algorithm for improving the quality of an image by removing blur, which is an image blur. Review of different deblurring techniques is obtained for a good quality image. The deblurring techniques are basically used to sharp an image using different methods & parameters. Image restoration and recognition has been of great importance nowadays. Face recognition becomes difficult when it comes to blurred and poorly illuminated images and it is here face recognition and restoration come to picture. There have been many methods that were proposed in this regard and in this paper we will examine different methods and technologies discussed so far.
Published by: Renuka Yadav, Munesh Yadav
Author: Renuka Yadav
Paper ID: V3I3-1411
Paper Status: published
Published: May 25, 2017
