Intelligent Database    Systems Lab.       현순주    2013.03.19(Tue.)
Lab Members                           http://idb.kaist.ac.kr/members• Professor   – Hyun, Soon Joo       • sjhyun@kaist.ac...
Lab Annual Activity         http://idb.kaist.ac.kr/gallery• Home-coming Day       • Winter Workshop                    3
컴퓨터 기술의 진화                          IBM701                                                 Intel                          ...
정보서비스의 추세          형태                               서비스                                     bio-medical/health            ...
컴퓨팅 패러다임             text, multimedia              giga, tera, peta         information, knowledge              wired, wir...
사용자 패러다임의 변화  network                                 mobile                                             ubiquity         ...
Research Interest(1/3)• Context-aware  Computing in  Pervasive/Ubiquitous  Environment  – High-level context     • Activit...
Research Interest(2/3)• Social-aware Computing       – Multi-dimensional context              • Spatial/Temporal/Social   ...
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 |           sup...
Research Interest(3/3)• 모바일 환경 응용분야: Urban Sensing  – 일정한 노선을 경유하는 시내버스에 센서 에이전트    부착  – 도시의 교통정보, 대기오염도, 주변 상황에 대한    기본...
Research Interest(3/3)• Sensor Network Query Processor and  Language(SNQL)                   13
Ongoing Projects• http://idb.kaist.ac.kr/?mid=project                     14
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KAIST 전산학과 iDBLab 소개 20130319-발표용

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KAIST 전산학과 iDBLab 소개 20130319-발표용

  1. 1. Intelligent Database Systems Lab. 현순주 2013.03.19(Tue.)
  2. 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. 3. Lab Annual Activity http://idb.kaist.ac.kr/gallery• Home-coming Day • Winter Workshop 3
  4. 4. 컴퓨터 기술의 진화 IBM701 Intel Linux Future UNIVAC 4004 Internet ENIAC ARPA Net IBM PC MOSAIC Apple1876 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. 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. 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. 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. 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. 9. Research Interest(2/3)• Social-aware Computing – Multi-dimensional context • Spatial/Temporal/Social – User interest inference – Collaborative group identificationOnline Social Networks Social correlation 9
  10. 10. Research Interest(3/3)• 전자신문, 세계 석학, 미래를 말하다(하) – 김종훈 Bell Lab. 사장 10
  11. 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. 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. 13. Research Interest(3/3)• Sensor Network Query Processor and Language(SNQL) 13
  14. 14. Ongoing Projects• http://idb.kaist.ac.kr/?mid=project 14
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