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Intelligent Database
    Systems Lab.
       현순주

    2013.03.19(Tue.)
Lab Members                           http://idb.kaist.ac.kr/members


• Professor
   – Hyun, Soon Joo
       • sjhyun@kaist.ac.kr
       • #804, ITC Bldg(N1)
       • Tel. 350-3563 (office)
• Students
   – 3 Ph.D. students
   – 2 M.S. students
   – Office
       • #822, ITC Bldg(N1)
       • Tel. 350-7763
• Homepage
   – http://idb.kaist.ac.kr



                                  2
Lab Annual Activity         http://idb.kaist.ac.kr/gallery


• Home-coming Day       • Winter Workshop




                    3
컴퓨터 기술의 진화

                          IBM701
                                                 Intel                               Linux                Future
                         UNIVAC                  4004                                                    Internet
               ENIAC                    ARPA Net                IBM PC           MOSAIC
                                                     Apple
1876        194546 47 51 52        57       69   71           80 81          89    93 94     95         2010


               stored-    program                             MS-DOS         Web                     smart-
Telephone
              program                                                                                phone
                              FORTRAN                                               Windows95
             computer
                                                        ER                                               SNS
                 transistor                                     OODB
                                         IMS     RDB                                       ubiquitous
                                                       Transaction                         computing
                                                         Distributed      NewDBs
                                                                                                     NewDBs
                                                                 Multidatabase




                                                          client-server              web          ubiquitous




                                                   4
정보서비스의 추세
          형태                               서비스
                                     bio-medical/health
                                           science
                                            urban
                                            social
 - DBMS/솔루션 공급                   art/culture/entertainment
 -정보제공/데이터 상품화                          context-aware
                                      extraction, mining
                                   collective intelligence
                                future Internet, p2p, m2m
                                          green web
                                    info security, privacy
                                              ...

 * 산업형태별 분류: DB구축, DB컨설팅, DB소프트웨어, DB서비스


                         5
컴퓨팅 패러다임
             text, multimedia
              giga, tera, peta
         information, knowledge
              wired, wireless
      system-centric, user-centric
  desk-top personal, potable, wearable
        server/client, p2p, m2m
            distributed, mobile
              static, dynamic
            any time anywhere
                   6
사용자 패러다임의 변화
  network
                                 mobile                                             ubiquity
                                 wireless                                          p2p, m2m
      communication paradigm


                                 distribution                 global, virtual,
                               interoperation                     cyber




                                                  multiple
                                remote            access
                                access


                                                                      content
                                                                   manipulation,
                                                browsing            Interactive    context
                               archiving         display                           -aware
                                                                     querying

                                            information paradigm                      user




                                                       7
Research Interest(1/3)
• Context-aware
  Computing in
  Pervasive/Ubiquitous
  Environment
  – High-level context
     • Activities
     • Social relationships
  – Low-level context
     • Environmental sensor
       data
     • System parameters
     • Application usage data
     • Social network data


                                8
Research Interest(2/3)
• Social-aware Computing
       – Multi-dimensional context
              • Spatial/Temporal/Social
       – User interest inference
       – Collaborative group
         identification
Online Social Networks
                             Social correlation




                                             9
Research Interest(3/3)
• 전자신문, 세계 석학, 미래를 말하다(하)
  – 김종훈 Bell Lab. 사장




                       10
Research Interest(3/3)

                   habitat monitoring, disaster surveillance, military
  Applications |           supports, patient monitoring, etc.

                                     Query/Result               Query/Result


     Wireless Sensor Network                Sensor
                                           Database            DBMS



                       Sensor                                Storage
                        Node
                                                            (Database)


        (Virtual) Storage


                                11
Research Interest(3/3)
• 모바일 환경 응용분야: Urban Sensing
  – 일정한 노선을 경유하는 시내버스에 센서 에이전트
    부착
  – 도시의 교통정보, 대기오염도, 주변 상황에 대한
    기본적인 정보를 센서를 통해 획득
  – 센서의 값을 네트워크를 통해 중앙 모듈로 전송




                 12
Research Interest(3/3)
• Sensor Network Query Processor and
  Language(SNQL)




                   13
Ongoing Projects
• http://idb.kaist.ac.kr/?mid=project




                     14
15

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KAIST 전산학과 iDBLab 소개 20130319-발표용

  • 1. Intelligent Database Systems Lab. 현순주 2013.03.19(Tue.)
  • 2. Lab Members http://idb.kaist.ac.kr/members • Professor – Hyun, Soon Joo • sjhyun@kaist.ac.kr • #804, ITC Bldg(N1) • Tel. 350-3563 (office) • Students – 3 Ph.D. students – 2 M.S. students – Office • #822, ITC Bldg(N1) • Tel. 350-7763 • Homepage – http://idb.kaist.ac.kr 2
  • 3. Lab Annual Activity http://idb.kaist.ac.kr/gallery • Home-coming Day • Winter Workshop 3
  • 4. 컴퓨터 기술의 진화 IBM701 Intel Linux Future UNIVAC 4004 Internet ENIAC ARPA Net IBM PC MOSAIC Apple 1876 194546 47 51 52 57 69 71 80 81 89 93 94 95 2010 stored- program MS-DOS Web smart- Telephone program phone FORTRAN Windows95 computer ER SNS transistor OODB IMS RDB ubiquitous Transaction computing Distributed NewDBs NewDBs Multidatabase client-server web ubiquitous 4
  • 5. 정보서비스의 추세 형태 서비스 bio-medical/health science urban social - DBMS/솔루션 공급 art/culture/entertainment -정보제공/데이터 상품화 context-aware extraction, mining collective intelligence future Internet, p2p, m2m green web info security, privacy ... * 산업형태별 분류: DB구축, DB컨설팅, DB소프트웨어, DB서비스 5
  • 6. 컴퓨팅 패러다임 text, multimedia giga, tera, peta information, knowledge wired, wireless system-centric, user-centric desk-top personal, potable, wearable server/client, p2p, m2m distributed, mobile static, dynamic any time anywhere 6
  • 7. 사용자 패러다임의 변화 network mobile ubiquity wireless p2p, m2m communication paradigm distribution global, virtual, interoperation cyber multiple remote access access content manipulation, browsing Interactive context archiving display -aware querying information paradigm user 7
  • 8. Research Interest(1/3) • Context-aware Computing in Pervasive/Ubiquitous Environment – High-level context • Activities • Social relationships – Low-level context • Environmental sensor data • System parameters • Application usage data • Social network data 8
  • 9. Research Interest(2/3) • Social-aware Computing – Multi-dimensional context • Spatial/Temporal/Social – User interest inference – Collaborative group identification Online Social Networks Social correlation 9
  • 10. Research Interest(3/3) • 전자신문, 세계 석학, 미래를 말하다(하) – 김종훈 Bell Lab. 사장 10
  • 11. Research Interest(3/3) habitat monitoring, disaster surveillance, military Applications | supports, patient monitoring, etc. Query/Result Query/Result Wireless Sensor Network Sensor Database DBMS Sensor Storage Node (Database) (Virtual) Storage 11
  • 12. Research Interest(3/3) • 모바일 환경 응용분야: Urban Sensing – 일정한 노선을 경유하는 시내버스에 센서 에이전트 부착 – 도시의 교통정보, 대기오염도, 주변 상황에 대한 기본적인 정보를 센서를 통해 획득 – 센서의 값을 네트워크를 통해 중앙 모듈로 전송 12
  • 13. Research Interest(3/3) • Sensor Network Query Processor and Language(SNQL) 13
  • 15. 15