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      소프트웨어 공학 : 컨텍스트 인지 모바일 컴퓨팅을 위한 정형모델 및 추론 시스템 설계 = A Formal Model and a Design of Inference Engine for Context-Aware Mobile Computing

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      https://www.riss.kr/link?id=A101848097

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      다국어 초록 (Multilingual Abstract)

      Context-aware mobile computing has become the primary approach to realize automatic, autonomous and user-centric computing in the context of mobile devices used that embed available sensors. However, designing an inference engine nonetheless requires the tasks of analyzing contexts, situations and can be inferred, etc. Moreover, a mobile device has limited resources and limited computation capability, which results in results in recognizing the common sense of its unsuitable environment for processing inference. Hence, we propose context-situation reasoning elements and their formal models in this paper, and we verify the formal models` applicability by applying them to an example. Finally, we design and implement an inference engine that realize the context-situation inference elements in computing environment, and we experiment an example by using the proposed inference engine to verify applicability and reusability of inference engine.
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      Context-aware mobile computing has become the primary approach to realize automatic, autonomous and user-centric computing in the context of mobile devices used that embed available sensors. However, designing an inference engine nonetheless requires ...

      Context-aware mobile computing has become the primary approach to realize automatic, autonomous and user-centric computing in the context of mobile devices used that embed available sensors. However, designing an inference engine nonetheless requires the tasks of analyzing contexts, situations and can be inferred, etc. Moreover, a mobile device has limited resources and limited computation capability, which results in results in recognizing the common sense of its unsuitable environment for processing inference. Hence, we propose context-situation reasoning elements and their formal models in this paper, and we verify the formal models` applicability by applying them to an example. Finally, we design and implement an inference engine that realize the context-situation inference elements in computing environment, and we experiment an example by using the proposed inference engine to verify applicability and reusability of inference engine.

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      참고문헌 (Reference)

      1 Sasank Reddy, "Using Mobile Phones to Determine Transportation Modes" 6 (6): 2010

      2 Anind K. Dey, "Understanding and Using Context" 5 (5): 2001

      3 Aftab Ahmed, "Software Architecture of a Learning Apprentice System in Medical Billing" 1 : 2010

      4 Juan Ye, "Situation identification techniques in pervasive computing: A review" 8 (8): 36-660, 2012

      5 Fabian Pedregosa, "Scikit-learn: Machine Learning in Python" 12 : 2825-2830, 2011

      6 Rim Helaoui, "Recognizing interleaved and concurrent activities: A statistical-relational approach" 1-9, 2011

      7 "Python Software Foundation" Python

      8 Sergios Theodoridis, "Pattern Recognition, 4th Ed." Academic Press 2008

      9 Eunju Kim, "Human Activity Recognition and Pattern Discovery" IEEE 9 (9): 48-53, 2010

      10 "Django Software Foundation" Django

      1 Sasank Reddy, "Using Mobile Phones to Determine Transportation Modes" 6 (6): 2010

      2 Anind K. Dey, "Understanding and Using Context" 5 (5): 2001

      3 Aftab Ahmed, "Software Architecture of a Learning Apprentice System in Medical Billing" 1 : 2010

      4 Juan Ye, "Situation identification techniques in pervasive computing: A review" 8 (8): 36-660, 2012

      5 Fabian Pedregosa, "Scikit-learn: Machine Learning in Python" 12 : 2825-2830, 2011

      6 Rim Helaoui, "Recognizing interleaved and concurrent activities: A statistical-relational approach" 1-9, 2011

      7 "Python Software Foundation" Python

      8 Sergios Theodoridis, "Pattern Recognition, 4th Ed." Academic Press 2008

      9 Eunju Kim, "Human Activity Recognition and Pattern Discovery" IEEE 9 (9): 48-53, 2010

      10 "Django Software Foundation" Django

      11 Karen Henricksen, "Developing context-aware pervasive computing applications: Models and approach" 2 (2): 37-64, 2006

      12 Ian H. Witten, "Data Mining: Practical Machine Learning Tools and Techniques" Morgan Kaufmann 2011

      13 Dragan Stojanovic, "Context-Aware Mobile and Ubiquitous Computing for Enhanced Usability: Adaptive Technologies and Applications"

      14 Daqiang Zhang, "Context reasoning using extended evidence theory in pervasive computing environments" 26 (26): 207-216, 2010

      15 Ahmad Akl, "Accelerometer-based gesture recognition via dynamic-time warping, affinity propagation, & compressive sensing" 2270-2273, 2010

      16 Claudio Bettini, "A survey of context modelling and reasoning techniques" 6 (6): 161-180, 2010

      17 Du Wan Cheun, "A Practical Framework for Comprehensive Mobile Context Visualization" 201-206, 2011

      18 Holger Schmidt, "A Generic Context Service for Ubiquitous Environments" 1-6, 2009

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2027 평가예정 재인증평가 신청대상 (재인증)
      2021-01-01 평가 등재학술지 유지 (재인증) KCI등재
      2018-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2015-01-01 평가 등재학술지 유지 (계속평가) KCI등재
      2012-10-31 학술지명변경 한글명 : 소프트웨어 및 데이터 공학 -> 정보처리학회논문지. 소프트웨어 및 데이터 공학 KCI등재
      2012-10-10 학술지명변경 한글명 : 정보처리학회논문지B -> 소프트웨어 및 데이터 공학
      외국어명 : The KIPS Transactions : Part B -> KIPS Transactions on Software and Data Engineering
      KCI등재
      2010-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2008-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2006-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2003-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2002-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2000-07-01 평가 등재후보학술지 선정 (신규평가) KCI등재후보
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.35 0.35 0.28
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.23 0.19 0.511 0.06
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