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Ramakrishan B.,Sthindu College | Milton Joe M.,St Jeromes College | Bhagavath Nishanth R.,Velammal Engineering College
Journal of Emerging Technologies in Web Intelligence | Year: 2014

Pattern design plays a vital role in establishing network communication in Ad-hoc network scenario. The real challenge to the researchers is designing the communication architecture to vehicular network. Vehicular network architecture design is difficult, since the movement of the vehicle speed is high. The existing vehicular network architecture forms the network communication but the communication is not reliable and the message transmission time is high. However a new architecture design is required to establish fair network communication among vehicles. This paper presents a novel cluster based vehicular network architecture for Manhattan Mobility Model and the proposed model is analyzed with various routing protocols. The result and analysis of the proposed model show clearly that the Cluster based Manhattan Mobility Model produces reliable communication. The proposed Cluster scheme reduces the message transmission time obviously. © 2014 Academy Publisher.


Milton Joe M.,St Jeromes College | Ramakrishan B.,Sthindu College
Journal of Emerging Technologies in Web Intelligence | Year: 2014

Online Social Network (ONS) is the easiest platform to connect with one another. There are many Online Social Networking websites exist to bring up the reliable communication among the users. Facebook, Orkut, Google+, Twitter, MySpace, etc are some of the Online Social Networking websites. All the social networking websites provide the interface formally known as profile, to share their willingness with others. The users of these websites could share their feelings, photos, text file and even whatever the user wishes to provide. All the Online Social Networking websites bring the friends, family members and relatives together to share their desires in a fast track manner, however still it lacks in security module. The shared photos and information are freely open access to all the users of social networking websites. When the photos are freely available, the unauthorized users can easily access the photos of others and download it. Once the photo is downloaded, that image can be misused widely such as creation of fake profile and the photo can be sold to other nuisance websites. This kind of data hacking activities in online social networks even leads the life to death. In this paper, data hacking in online social network is considered and a novel mechanism is presented to prevent the data hacking. © 2014 Academy Publisher.


Thanammal K.K.,Sthindu College
International Journal of Bio-Science and Bio-Technology | Year: 2015

This paper proposes an automatic lung lobe segmentation method in a supervised way. The lung image is given as input and the lung image is segmented using iterative threshold method. Then fissure information is enhanced using log supportive filter. Then Fissure locations are extracted using Vector training and matching process. Finally the lung lobes are segmented and marked as individual lobes. The main modules of this proposed method are Iterative threshold based lung segmentation, Fissure enhancement, fissure detection and Lung lobe segmentation. This proposed method can be used to find the missing fissures and unclear fissures also. This proposed method is working based on training of fissure information and detection is done according to the trained vectors. The proposed method segments the lung lobes with high performance and high speed. © 2015 SERSC.


Raj K.J.,Sthindu College
Ecology, Environment and Conservation | Year: 2012

The paper reviews the studies and reports on climate change and its effect on biodiversity and subsequent economic loss. Copyright © EM International.


Thanammal K.K.,Sthindu College
Biosciences Biotechnology Research Asia | Year: 2014

Detection of edge is a terminology in image processing and computer vision particularly in the areas of feature detection and extraction to refer to the algorithms which aims at identifying points in a digital image at which the image brightness changes sharply or more formally has discontinuities. Edge is a basic feature of image. The image edges include rich information that is very significant for obtaining the image characteristics by object recognition. Edge detection refers to the process of identifying and locating sharp discontinuities in an image. So, edge detection is a vital step in image analysis and it is the key of solving many complex problems. This paper, describes edge detection algorithms for image segmentation using various computing approaches which have got great fruits. Experimental results prove that Canny operator is better than Prewitt and Sobel for the selected image. Subjective and Objective methods are used to evaluate the different edge operators. The performance of Canny, Sobel and Prewitt Edge Detection are evaluated for detection of edges in digital images.

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