Vol. 44 No. 12 Dec , 3 4 Development and Evaluation of Information Provision System for In-Vehicle Terminal Based on Agent Framework Masa

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1 Vol. 44 No. 12 Dec , 3 4 Development and Evaluation of Information Provision System for In-Vehicle Terminal Based on Agent Framework Masanori Hattori, 1 Kenta Cho, 1 Akihiko Ohsuga, 1 Shinichi Honiden 2, 3 and Yoshiaki Fukazawa 4 This paper proposes Ubiquitous Personalize Agent Framework and it s application: Information Provision System for In-Vehicle Terminal. Ubiquitous personalize agent framework is constructed by combining context reasoning framework and lightweight mobile agent platform. This framework can decrease programming cost and response latency of ubiquitous services. Information provision system for in-vehicle terminal is constructed based on the framework. We confirmed the effectiveness of the framework in terms of development cost and response speed Corporate Research & Development Center, TOSHIBA Corporation 2 National Institute of Informatics 3 Graduate School of Information Science and Technology, The University of Tokyo 4 Department of Computer and Information Science, Waseda University LBS Location-Based Service Plangent 1) Bee-gent 2) 3) 4) (1) GPS 3024

2 Vol. 44 No (2) Fig. 1 Overview of ubiquitous personalize agent. Ubiquitous Personalize Agent Platform HTTP Application HTTP Platform Application Server WWW Server HTTP Sensor Internet LAN LAN PHS Platform Application 2 Fig. 2 Architecture of ubiquitous personalize agent.

3 3026 Dec ) Data ( TODO, todoid description, categoryid) ( LOCATION, latitude, longitude, locationid) Input: TODO LOCATION Output: MATCH_TODO Condition: 2) 3) ( MATCH_TODO, BY_LOCATION, locationid, todoid) 3 Fig. 3 Mechanism of context reasoning. / (1) public class TodoRule implements Rule { // public String[] inputtype = {"LOCATION", "TODO"}; // public final String CONTEXT = "MATCH_TODO"; // public Context resolverule(sabiouser user, String[] inputs) { // String userid = user.userid; Location location = new Location(inputs[0]); Todo todo = new Todo(inputs[1]); Context context = new Context(); if (location.isrelated(todo)) context = new Context(userID, CONTEXT, attributes); return context; // } } Fig. 4 4 Example of a context reasoning rule. ( LOCATION, latitude, longitude, locationid) LOCATION (2) Java Java LOCATION TODO TODO TODO TOOD MATCH TODO (3) ( MATCH TODO,

4 Vol. 44 No ) ( MATCH_TODO, BY_LOCATION, locationid, todoid) 2) Context Code SHOP_PURCHASE MATCH_TODO moduleb Module Name modulea moduleb 3) ( MATCH_TODO, BY_LOCATION, locationid, todoid) modulea moduleb modulec Platform Components Component A Planning Component Component B Migration Component Component C [ [ [goto(nodeb), accessdb(key, DATA), goto(nodea), display(data)], [goto(nodec), accessdb(key, DATA), goto(nodea), display(data)] ], [reporterror()] ] Platform 5 Fig. 5 Mechanism of action module selection. BY LOCATION, locationid, todoid) (1) (2) 5 (3) 2.2 Migration 6 picoplangent Fig. 6 picoplangent: Lightweight intelligent mobile agent platform. picoplangent 5) picoplangent picoplangent 6 picoplangent Plangent 1) 6

5 3028 Dec Platform 3. 7 Fig. 7 Connection between mobile agent framework and context reasoning framework via bridge component / picoplangent PC PDA TODO Web WWW TODO PC PDA TODO MATCH TODO

6 Vol. 44 No Ubiquitous Personalize Agent Platform C B Web A Platform HTTP Application Server WWW Server HTTP TCP/IP LAN / WAN IT Router WWW Bluetooth1.1(PAN Profile) Browser IT ECHONET Middleware ECHONET(v3.0) on Bluetooth WWW Browser HTTP Internet LAN / WAN PDA Migration of GPS Platform Car Navigation Application PHS D E Fig. 8 8 Architecture of information provision system for in-vehicle terminal. 1 Table 1 Definitions of input data. TODO PC/PDA TODO SCHEDULE PC/PDA WEB MARK PC Web SHOPPING MEMO LOCATION GPS ACTION LOG TIMER EVENT REQ LOCLIST Table 2 2 Definitions of context reasoning rules. 3 Table 3 Definitions of action modules. ( ) MATCH TODO TodoMsgCreator TODO MATCH SCHD SchdMsgCreator MATCH WEBM WebmMsgCreator MATCH SHOPMEMO ShopmMsgCreator CREATE LOCLIST LocListCreator ( ) MATCH TODO (TODO ) MATCH SCHD ( ) MATCH SCHD ( ) MATCH WEBM ( ) MATCH SHOPMEMO () CREATE LOCLIST ( ) LOCATION TODO LOCATION SCHEDULE TIMER EVENT SCHEDULE LOCATION WEB MARK LOCATION SHOPPING MEMO REQ LOCLIST TODO LOCATION TODO TODO TODO 2 3 /

7 3030 Dec Platform REQ_LOCLIST LOCATION Platform Car Navigation Application GPS [ [getlocation(c_lat, C_LON), // 1 goto(servernode), // 2 getloclist(c_lat, C_LON, LOCLIST), // 3 goto(carnode), // 4 getlocation(lat, LON), // 5 matchloc(lat, LON, LOCLIST, LOCID), // 6 displaycontent(loclist, LOCID) // 7 ],[] ] 10 Fig. 10 Plan kept by mobile agent. 9 Fig. 9 Construction of location-based content notification function GPS 500 m REQ LOCLIST 2 CREATE LOCLIST 3 LocListCreator 3-2

8 Vol. 44 No LOCATION iplanet Application Server Java Java picoplangent Java PC Web PDA PalmOS TODO/ Java Web / TODO/ ) Bluetooth IT Bluetooth

9 3032 Dec Fig Screenshot of shopping assistance service. 11 IT IT IT Fig. 11 Intelligent home appliances. 11 IT Web PC Windows2000 Java GPS LAN PHS IT / / TODO//Web / 13 Fig. 13 Screenshot of in-vehicle terminal

10 Vol. 44 No Fig Comparison of message notification response. 14 TODO Fig. 14 Screenshots of notification messages. 17 Fig. 17 Measurement of message notification response while moving. GPS Interface 15 Fig. 15 Diagram of the server-centric architecture. GPS GPS PC PC PIAFS kbps PHS GPS

11 3034 Dec ICMP Internet Control Message Protocol 17 ICMP 2KB GPS Java % 5.48% Table 4 ( / ) ( 8(A)) ( 8(B)) ( 8(C)) 4 Development items for adding mobile phone. ( / ) 12.7% (398/3129) 0% (0/387) 0% (0/3752) 5.48% (398/7268) 100% ( (350/350) 8(D)) ( 8(E)) ( 8(E)) ( 8(E)) 100% (10/10) 100% (180/180) 0% (0/665) 44.8% (540/1205) 18 TODO Fig. 18 Screenshots of messages on mobile phone. 0%

12 Vol. 44 No Table 5 5 Development items for adding voice input. ( / ) ( 8(A)) ( 8(B)) ( 8(C)) ( / ) 3.75% (122/3251) 29.3% (160/547) 5.99% (239/3991) 6.69% (521/7789) 0% ( (0/687) 8(D)) ( 8(E)) ( 8(E)) 100% (273/273) 0% (0/855) 15.0% (273/1815) (4 ) (4 ) / % % 1 0% Fig. 19 Screenshot of a message based on voice input. 6. 7) 8) CTI 9) 10) ITS 3) disconnected operation 1 11)

13 3036 Dec ) 13) LAN PDC IP / / 1) Ohsuga, A., Nagai. Y., Irie, Y., Hattori, M. and Honiden, S.: PLANGENT: An approach to making mobile agents intelligent, IEEE Internet Computing, Vol.1, No.4, pp (1997). 2) Bee-gent Vol.J82- D-1, No.9, pp (1999). 3) Hattori, M., Kase, N., Ohsuga, A. and Honiden, S.: Agent-based drivers information assistance system, New Generation Computing, Vol.17, No.4, pp (1999). 4) Vol.99, No.ITS-3, pp (1999). 5) picoplangent JAWS2002 pp , (Nov. 2002). 6) 7) DANSEVol.J82-B, No.5, pp (1999). 8) Context Aware Messaging Service Vol.42, No.07, pp (2001). 9) Vol.39, No.4, pp (1998). 10) ITS Vol.J82-B, No.11, pp (1999). 11) ITS Vol.2000, No.ITS-001 (2000). 12) 13) Vol.42, No.2, pp (2001). ( ) ( )

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