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Applying human-like intelligence to future generation network to improve communication efficiency
Includes abstract.
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| Main Author: | |
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| Other Authors: | |
| Format: | Thesis |
| Language: | English |
| Published: |
Department of Electrical Engineering
2014
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| _version_ | 1867613184919076864 |
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| access_status_str | Open Access |
| author | Li, Yang |
| author2 | Chan, H Anthony |
| author_browse | Chan, H Anthony Li, Yang |
| author_facet | Chan, H Anthony Li, Yang |
| author_sort | Li, Yang |
| collection | Thesis |
| description | Includes abstract. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/5183 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:32:07.214Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2014 |
| publishDateRange | 2014 |
| publishDateSort | 2014 |
| publisher | Department of Electrical Engineering |
| publisherStr | Department of Electrical Engineering |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/5183 Applying human-like intelligence to future generation network to improve communication efficiency Li, Yang Chan, H Anthony Electrical Engineering Includes abstract. Includes bibliographical references (leaves 251-257). In recent decades, communications network has evolved at drastic speed to provide advanced and intelligent services. This strengthening service provision owes to the successful establishment of various intelligent networks and the use of artificial intelligence, pervasive computing, and social networking in communications. It has consequently endowed network users with abundant choices of communication services. While these communications services are bringing convenience to human lives, people in turn are performing more tasks. The current network with its large number of available communications services is then often burdening network users with the complexity and inflexibility in using these services. In particular, the network lacks the initiative and the ability to investigate a user’s most recent communication needs and subsequently adjust the manner of service provision according to these needs and user connecting possibilities. The network needs to be more intelligent to handle these problems. We therefore propose importing human-like intelligence into the network to facilitate communication-session processing according to user needs. 2014-07-31T10:55:09Z 2014-07-31T10:55:09Z 2007 Doctoral Thesis Doctoral PhD http://hdl.handle.net/11427/5183 eng application/pdf Department of Electrical Engineering Faculty of Engineering and the Built Environment University of Cape Town |
| spellingShingle | Electrical Engineering Li, Yang Applying human-like intelligence to future generation network to improve communication efficiency |
| thesis_degree_str | Doctoral |
| title | Applying human-like intelligence to future generation network to improve communication efficiency |
| title_full | Applying human-like intelligence to future generation network to improve communication efficiency |
| title_fullStr | Applying human-like intelligence to future generation network to improve communication efficiency |
| title_full_unstemmed | Applying human-like intelligence to future generation network to improve communication efficiency |
| title_short | Applying human-like intelligence to future generation network to improve communication efficiency |
| title_sort | applying human like intelligence to future generation network to improve communication efficiency |
| topic | Electrical Engineering |
| url | http://hdl.handle.net/11427/5183 |
| work_keys_str_mv | AT liyang applyinghumanlikeintelligencetofuturegenerationnetworktoimprovecommunicationefficiency |