Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/516829
Title: | Predictive analytics model for smart Healthcare systems |
Researcher: | MIDHUN KUMAR A |
Guide(s): | Appavu alias Balamurugan |
Keywords: | Computer Science Computer Science Artificial Intelligence Engineering and Technology |
University: | Sathyabama Institute of Science and Technology |
Completed Date: | 2022 |
Abstract: | Web service is a standard function that provides interaction newlinebetween application-application for sharing Information. Such newlineInformation are available in the form of services over the Internet. It newlineoperates with XML, SOAP, REST protocols that do not depend on any newlineOperating System and programming language. Quality of Service plays newlinean important role in Service Oriented Architecture that deals with newlinereliability, availability and scalability. In this work Web service newlinereliability, its evaluation and enhancing procedures are discussed for newlinemultiple web services. Initial phase of this work addresses Reliability newlinewhich is evaluated by Web service log analyzer and Non-Markovian newlineStochastic Petri Net (NMSPN). The proposed system primarily addresses newlinesemantic service reliability and its evaluation, which is done by the web newlinelog analyzer. Reliability in Web services are evaluated by error rate using newlinecomponents of Mean Time To Error (MTTE), Mean Time Between newlineFailure (MTBF), and Mean Time To Repair (MTTR). Analyzing the newlinereliability evaluation is well balanced with web service enhancement newlinewhich is done in the second phase. newlineIn composite web service the service selection is done using newlineservice negotiation method with Privacy Compatibility Matching (PCM). newlineIt extracts the dependable services and maintains service reliability. newlineFollowed by the enhancement phase for selecting service from domain newlineand non-domain specific repository and these are termed as Hybrid newlineService Discovery (HSD). HSD provides high reliability factor than newlineservice selection from Distributed Service Discovery (DSD) available in newlinevi newlinecommon service repository. While dealing with HSD approaches, the newlinereliability is well addressed with evaluation and enhancement procedures newlineand thus it ensures Web service reliability. Based on the above newlineobservation the work focused on deploying health care management newlinesystem for youths who work in an industry and being surveillance for newlineemergency health care assistance and support. newlineThis tool can also serve as a reminder to youths that good health newline |
Pagination: | vi, 133 |
URI: | http://hdl.handle.net/10603/516829 |
Appears in Departments: | COMPUTER SCIENCE DEPARTMENT |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
10.chapter 6.pdf | Attached File | 367.28 kB | Adobe PDF | View/Open |
11.chapter 7.pdf | 237.27 kB | Adobe PDF | View/Open | |
12.chapter 8.pdf | 142.02 kB | Adobe PDF | View/Open | |
13.annexure.pdf | 1.41 MB | Adobe PDF | View/Open | |
1.title.pdf | 96.51 kB | Adobe PDF | View/Open | |
2.prelim pages.pdf | 317.85 kB | Adobe PDF | View/Open | |
3.abstract.pdf | 126.84 kB | Adobe PDF | View/Open | |
4.contents.pdf | 281.64 kB | Adobe PDF | View/Open | |
5.chapter 1.pdf | 169.77 kB | Adobe PDF | View/Open | |
6.chapter 2.pdf | 208.47 kB | Adobe PDF | View/Open | |
7.chapter 3.pdf | 488.25 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 96.51 kB | Adobe PDF | View/Open | |
8.chapter 4.pdf | 675.18 kB | Adobe PDF | View/Open | |
9.chapter 5.pdf | 628.65 kB | Adobe PDF | View/Open |
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