Please wait, while we are loading the content...
| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ye Xu Hai Zhao Wei-ji Su Yu Su Xiao-dan Zhang |
| Copyright Year | 2005 |
| Description | Author affiliation: Sch. of Inf. Sci. & Eng., Northeastern Univ., China (Ye Xu; Hai Zhao; Wei-ji Su; Yu Su; Xiao-dan Zhang) |
| Abstract | In this paper, a distributed fusion model (DFM) is put forward and a corresponding algorithm is designed to solve the problem of oil distribution forecast. DFM comprises a global fusion center (GFC) and several local fusion units (LFU), which connect with each other through a network. LFU executes fusion computation through two fusion-levels: the feature-level fusion that analyzes qualitative data through a classifying analysis method and extracts quantitative data through a BP neural network method; and the decision-level fusion that conducts decision-level analysis on the results of feature-level fusion through a Bayesian network. DFM decreases global complexity and increases the veracity of the whole system after it increased veracities of local fusion units. The method has been successfully proved in an application to be able to meet the requirement of oil distribution forecast, because it decreases by 47 times more the training cycle than the traditional method -single Bayesian network fusion method - and yielded a higher accuracy rate of oil forecasts than the single neural network fusion method. |
| Sponsorship | Minist. of Educ. (MOE) of PR China Hong Kong Univ. of Sci. & Technol. (HKUST) Univ. of Electron. Sci. and Technol. of China (UESTC) City Univ. of Hong Kong |
| File Size | 624239 |
| File Format | |
| ISBN | 0780390156 |
| DOI | 10.1109/ICCCAS.2005.1495285 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-05-27 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Algorithm design and analysis Information science Data analysis Bayesian methods Neural networks Predictive models Probability Design for manufacture Data mining Petroleum |
| Content Type | Text |
| Resource Type | Article |
National Digital Library of India (NDLI) is a virtual repository of learning resources which is not just a repository with search/browse facilities but provides a host of services for the learner community. It is sponsored and mentored by Ministry of Education, Government of India, through its National Mission on Education through Information and Communication Technology (NMEICT). Filtered and federated searching is employed to facilitate focused searching so that learners can find the right resource with least effort and in minimum time. NDLI provides user group-specific services such as Examination Preparatory for School and College students and job aspirants. Services for Researchers and general learners are also provided. NDLI is designed to hold content of any language and provides interface support for 10 most widely used Indian languages. It is built to provide support for all academic levels including researchers and life-long learners, all disciplines, all popular forms of access devices and differently-abled learners. It is designed to enable people to learn and prepare from best practices from all over the world and to facilitate researchers to perform inter-linked exploration from multiple sources. It is developed, operated and maintained from Indian Institute of Technology Kharagpur.
Learn more about this project from here.
NDLI is a conglomeration of freely available or institutionally contributed or donated or publisher managed contents. Almost all these contents are hosted and accessed from respective sources. The responsibility for authenticity, relevance, completeness, accuracy, reliability and suitability of these contents rests with the respective organization and NDLI has no responsibility or liability for these. Every effort is made to keep the NDLI portal up and running smoothly unless there are some unavoidable technical issues.
Ministry of Education, through its National Mission on Education through Information and Communication Technology (NMEICT), has sponsored and funded the National Digital Library of India (NDLI) project.
| 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 |
|
Loading...
|