NDLI: A Survey on Intelligent Information Processing System: A Machine Ailment Diagnosing Based on KNN Similarity Degree

Content Provider	IEEE Xplore Digital Library
Author	Xiping Wang Wenxue Tan
Copyright Year	2013
Description	Author affiliation: Sch. of Econ. & Manage., Hunan Univ. of Arts & Sci., Changde, China (Xiping Wang) \|\| Software Eng. Dept., Beijing Acad. of Agric. & Forestry Sci., Beijing, China (Wenxue Tan)
Abstract	Intelligent Information Processing System has successful application in informationization of traditional industry. Exact addressing the stock case's ailment type and roots as quickly as possible has been the weight of developing information technology for veterinary. In order to assist human veterinarian expert diagnose animal ailment, this work proposes a machine diagnosing model based on KNN ailment-similarity-degree pattern recognition. The project crew devises 3 similarity distance measuring methods including Lee distance and Jaro distance, which are addressed to the uncertainty factor vector pattern and fuzzy membership pattern. In addition, the software architecture of the machine diagnosing model and diagnosing algorithm is constructed in detail. Field experimental statistics demonstrate that compared with the individual human veterinary expert, the proposed model achieve a preferable accuracy rate of diagnosis over 80%, and low a rate of misdiagnosis obviously, which is an alternate of existent ones with great potential.
Sponsorship	IEEE Wuhan Sect.
Starting Page	715
Ending Page	718
File Size	167779
Page Count	4
File Format	PDF
ISBN	9780769551258
DOI	10.1109/CSA.2013.172
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-14
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Similarity Degree Uncertainty Factors Art Uncertainty Intelligent Information Processing Ailment Diagnosing Information processing Educational institutions Vectors KNN Pattern recognition Artificial intelligence
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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