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Natural Language Processing based Context Sensitive, Content Specific Architecture & its Speech based Implementation for Smart Home Applications

첫 페이지 보기
  • 발행기관
    보안공학연구지원센터(IJSH) 바로가기
  • 간행물
    International Journal of Smart Home 바로가기
  • 통권
    Vol.4 No.2 (2010.04)바로가기
  • 페이지
    pp.1-10
  • 저자
    M.B.Chandak, Dr.Rajiv Dharaskar
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A118953

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원문정보

초록

영어
The one of the upcoming research stream of Computer Science and Engineering is Natural Language Processing (NLP), which is widely being used in design of Interfaces for Human-Computer Interaction. One of the basic applications of NLP, is design of “"Smart Homes”", in which; based on user input certain actions can be performed either locally inside the house or globally outside the house. The smart homes designed are either based on remote input provided to the system from one place in the house or limited to only certain type of actions which the system can handle. The current state of art of the Smart Home design methodologies, does not includes the design of customized systems capable of handling inputs from different gender i.e., in different pitches, similarly the methodologies does not provides facilities to handle input in different language. The systems existing are not capable of understanding the context of situation and determining actions based on context.
The paper describes a Smart Home application which can be used by elderly people living alone in the home to serve their basic needs, which specifically includes security issues. The system is initially based on generic architecture, and can be further customized to user needs. The main component of the generic architecture is ability to fix a certain language or set of languages in which the input will be provided to the system. This enables the user to interact with the system in multiple languages, thus the specific instruction set is not limited to one language. The interface designed is based on speech input, can handle multiple languages and is not gender specific. The system designed is also “"Context Specific”", to understand the context of current state in which input is given to the system and perform the necessary action. The context understanding feature makes the system more specific to understand the urgency of action to be performed based on input. The system can deployed for a building incorporating a wireless sensor network, and provide a high quality, efficient contextsensitive data transmission facility.

목차

Abstract
 1. Introduction.
 2. Architecture of Smart Home Application System
 3. Implementation Details.
 4. Voice Controlled User Interface:
 5. Implementation of Speech Enabled Voice Interface
 6. Strategies for better user interface based on speech recognition
 7. Conclusion
 8. References

키워드

Smart Homes Natural Language Processing Prosody detection Context specific Sensor networks Data transfer.

저자

  • M.B.Chandak [ Shri Ramdeobaba Kamla Nehru Engineering College, Nagpur - INDIA ]
  • Dr.Rajiv Dharaskar [ G.H.Raisoni College of Engineering, Nagpur - INDIA ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    보안공학연구지원센터(IJSH) [Science & Engineering Research Support Center, Republic of Korea(IJSH)]
  • 설립연도
    2006
  • 분야
    공학>컴퓨터학
  • 소개
    1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업

간행물

  • 간행물명
    International Journal of Smart Home
  • 간기
    격월간
  • pISSN
    1975-4094
  • 수록기간
    2008~2016
  • 십진분류
    KDC 505 DDC 605

이 권호 내 다른 논문 / International Journal of Smart Home Vol.4 No.2

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