2026-09-19T05:53:21Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/345592022-01-13T07:54:44Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Joseph Ferreira.
Fuller, Napier Sandford
Massachusetts Institute of Technology. Dept. of Urban Studies and Planning.
Massachusetts Institute of Technology. Department of Urban Studies and Planning
2006-11-07T12:56:44Z
2006-11-07T12:56:44Z
2004
2004
http://hdl.handle.net/1721.1/34559
71126028
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Urban Studies and Planning, 2004.
Includes bibliographical references (leaves 59-60).
Architectural interior spaces provide a rich syntax for context-aware modeling. In a wireless wide area network (WAN), an urban environment can be geographically tessellated into a series of polygons reflecting the radio transmission range of each wireless access point (AP). By using these APs as spatial aggregation units in a relational database, logical assumptions about short-term behavioral patterns can be modelled; this paper describes a method to capture, encode, and interpret context-aware cues. These cues are then utilized by an intranet web server to produce context-aware output, information that fits the client's short-term activity landscape and intentions. The method does not require any special client-side software and preserves the user's anonymity as it derives the client's physical location implicitly. Such a framework permits a new type of context-aware web interaction based upon the logical "common sense" patterns that are specific to architectural interior spaces at a given time.
by Napier Sandford Fuller.
S.M.
60 leaves
14048518 bytes
14048164 bytes
application/pdf
application/pdf
eng
Massachusetts Institute of Technology
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http://dspace.mit.edu/handle/1721.1/7582
Urban Studies and Planning.
MapNexus : a framework to derive human intent from architectural space to enable context-aware information exchanges in a wireless intranet
Framework to derive human intent from architectural space to enable context-aware information exchanges in a wireless intranet
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<Abstract>Architectural interior spaces provide a rich syntax for context-aware modeling. In a wireless wide area network (WAN), an urban environment can be geographically tessellated into a series of polygons reflecting the radio transmission range of each wireless access point (AP). By using these APs as spatial aggregation units in a relational database, logical assumptions about short-term behavioral patterns can be modelled; this paper describes a method to capture, encode, and interpret context-aware cues. These cues are then utilized by an intranet web server to produce context-aware output, information that fits the client's short-term activity landscape and intentions. The method does not require any special client-side software and preserves the user's anonymity as it derives the client's physical location implicitly. Such a framework permits a new type of context-aware web interaction based upon the logical "common sense" patterns that are specific to architectural interior spaces at a given time.</Abstract>
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