Fuzzy Systems

S. Neelakandan ¹, P. Robert ², R. Karthikeyan ¹, P. Vijay Anand ¹

Affiliations
1 Department of Information Technology, Vel Tech MultiTech Dr.Rangarajan Dr. Sakunthala Engineering College, IN
2 Department of Information Technology, Vel Tech MultiTech Dr.Rangarajan Dr. Sakunthala Engineering College, IN
3 Department of Information Technology, Vel Tech MultiTech Dr.rangarajan Dr. Sakunthala Engineering College, IN

Abstract

Content adaptation is an important technique for mobile devices. Existing content adaptation systems have been developed with specific adaptation goals The Web accessing devices vary with its processing capabilities. A lot of electronic devices with various features are available in the market the multimedia content and animation present in the web page; it’s very difficult for the clients to load them in short time with their mobile devices. Content transformation (or Transco ding) proxies have been recently proposed to tailor web content to device characteristic of web clients. The approach used here is CC/PP (Composite Capability/ preference Profile) All the software and hardware attributes or features can be detailed described in the CC/PP file. We evaluate through simulation the impact of load distribution and caching policies on user’s response time. The web contents are in multimedia nature while requesting those contents, the adaptation time is not reduced to over come this problem “the content adaptation using proxy system” reduces the adaptation time by using the transcoding process. However, to reduce more adaptation time we can use collaborative proxies in the server. In day today-to-day’s life the web content is becoming of a multimedia network. Therefore the ever increasing requirements of client and the diversity in page composition demand techniques to adapt the same content to diverse devices. The process of converting a multimedia object from one form to another is called transcoding and can apply to transformation either with in media types (e.g., from JPEG to JIF format), between media types (e.g., speech to text or video items to image set) or to both of them.

Keywords

Transcoding, Composite Capability/Preference Profile, Content Converter, Parser.

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B. Padmajaa ¹, P. Asha ¹, R. Karthikeyan ²

Affiliations
1 Misrimal Navajee Munoth Jain Engineering College, IN
2 IEEE, IN

Abstract

Functional Magnetic Resonance Imaging (fMRI) is a technique for measuring brain activity that directly measures the blood flow in the brain. This is an important concept in medical field to detect the tumors. Tumors is an abnormal tissue which is grouped together to form into lumps. Tumor cells are grouped according to their growth of cells which has been graded by World Health Organisation.  To detect the tumor we take an fMRI using various techniques. K means algorithm is introduced in this field to cluster together the different regions of the brain according to the interaction between various regions. These results are compared to original image to get the exact location of the brain tumor rather than the region surrounding the tumor cells.

Keywords

Tumor, BOLD, Interaction K Means, Feature Selection.

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