• Title/Summary/Keyword: 기능적 인식

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Performance Evaluation of Search Engine for Speech Recognition Based Map Information Retrieval System (음성인식기능을 이용한 지도정보검색시스템을 위한 검색엔진의 성능 평가)

  • 김태수
    • Proceedings of the Acoustical Society of Korea Conference
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    • 1998.08a
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    • pp.39-42
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    • 1998
  • 음성인식기능을 이용한 지도정보 검색 시스템의 실용화를 위하여 독자적인 지도검색 알고리즘을 구현하여 기존의 GIS 용 검색툴을 이용함으로서 소요되는 비용을 최저화하면서도 어느 정도의 검색속도를 유지할 수 있는 음성구동지도검색시스템 구현을 위해 개발한 검색엔진의 성능 평가 실험을 통하여 그 유효성을 확인하고자 한다. 지도정보 검색시스템은 크게 음성인식부, 지도검색부로 나눌 수 있으며, 음성인식부에서는 유한상태오토마타에 의한 구문 제어를 통하여 OPDP 법으로 대상 단어의 인식을 수행하고, 지도검색부에서는 기존의 시스템에 사용된 OLE 기법에 기저한 Mapinfo 툴을 이용하지 않고, Visual C++를 이용한 독자적인 알고리즘을 구성하여 지도자료를 읽어 들이도록 구성하였다. 평가결과, 사무실 환경하에서 지도검색용 68단어를 대상으로 실시한 on-line test에서 검색 대상 단어인식률은 98.02%를 얻었으며, 이 때 해당지도를 화면에 나타내는데 걸리는 시간은 평균 18.2초가 소요되었다.

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지능형 로봇과 얼굴 인식 융합기술

  • Kee, Seok-Cheol
    • Review of KIISC
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    • v.17 no.5
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    • pp.25-31
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    • 2007
  • IT기술과 지능을 로봇에 융합시킴으로써, 로봇이 스스로 사용자를 인식하여 사용자가 원하는 일을 하고 원하는 정보를 검색해 주는 인간 중심적 서비스를 제공하는 것이 지능형 로봇의 궁극적인 목표이다. 사용자가 원하는 서비스를 제공하기 위해서는 다양한 의사소통 채널을 통해 인간과 로봇, 두 개체간의 상호작용 및 의사소통 연결 고리를 형성하는 인간-로봇 상호작용(HRI: Human-Robot Interaction)기술 개발이 반드시 필요하다. HRI 기술에는 얼굴 인식, 음성 인식, 제스처 인식 및 감정 인식 등 로봇이 인간의 의사표시를 인식하기 위한 기술들이 있다. 본고에서는 지능형 로봇과 로봇의 시각 지능화의 가장 핵심적인 기능인 얼굴 인식의 융합 기술 동향에 대해서 응용 서비스 및 표준화 이슈를 중심으로 살펴보고자 한다.

Study on the effects of the male elderly's age discrimination experiences on their perception of the elderly and attitude toward the old age life -Examination of mediation effects of family function and peer relations- (남성노인의 차별경험이 노인인식 및 노년기 태도에 미치는 영향에 관한 연구 - 가족기능과 동년배관계의 매개효과 검증 -)

  • Nam, Seok In
    • 한국노년학
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    • v.28 no.4
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    • pp.1297-1315
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    • 2008
  • Elderly males in retirement experiencing a change in their social status and role in the family are likely to develop negative perception toward the elderly and the elderly life. The purpose of this study is to examine how the experiences of age discrimination affect elderly male's perception and his attitude towards the elderly life, and to verify the mediation effects of the family and peer relations, which would necessitate the need for social welfare intervention. 215 participants, the elderly men registered at the welfare centers in Seoul Metropolitan area, participated in this research utilizing the structural equation modeling to verify the mediation effect. The findings are as follows. First, the elderly males's experiences of age discrimination is found not to have a significant effect on their perception towards the elderly. Second, the elderly males' discrimination experience has a significant effect on their attitude towards the elderly life. Third, it is found out that family function and peer relationship has complete mediation effect on the perception on the elderly experiencing discrimination in their perception towards the elderly life. Fourth, the family function and peer relationship has partial mediation effect on the elderly male experiencing discrimination in their attitude toward their life after retirement. This shows that more efforts are needed to reduce discrimination towards the elderly, and that strong family function and peer relations help the elderly to develop more positive perception and attitude towards the elderly life. In conclusion, it proposes an institutional approach towards the problem as well as increased support for elderly welfare service including family counseling intended to strengthen family function and alternative family, and more active social activities aimed at strengthening of peer relationship.

Emotion Perception and Multisensory Integration in Autism Spectrum Disorder: A Review of Behavioral and Cognitive Neuroscience Studies (자폐 스펙트럼 장애의 다중감각 통합과 정서인식: 행동연구와 인지 신경 과학 연구에 대한 개관)

  • Cho, Hee-Joung;Kim, So-Yeon
    • Science of Emotion and Sensibility
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    • v.21 no.4
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    • pp.77-90
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    • 2018
  • Behavioral studies of emotion recognition in autism spectrum disorders (ASD) have yielded mixed results. Most of the studies focused on emotion recognition abilities with regard to ASD using stimuli with unisensory modality, making it difficult to determine difficulties in real life emotion perception in ASD. Herein, we review the recent behavioral and cognitive neuroscience studies on emotion recognition functions in ASD, including both unisensory and multisensory emotional information, to elucidate the possible difficulties in emotion recognition in ASD. In our study, we discovered that people with ASD have problems in the process of integrating emotional information during emotion recognition tasks. The following four points are discussed: (1) The restrictions of previous studies, (2) deficits in emotion recognition in ASD especially in recognizing multisensory information, (3) possible compensation mechanisms for emotion recognition in ASD, and (4) the possible roles of attention and language functions in emotion recognition in ASD. The compensatory mechanisms proposed herein for ASD with regard to emotion recognition abilities could contribute to a therapeutic approach for improving emotion recognition functions in ASD.

Trend and future prospect on the development of technology for electronic security system (기계경비시스템의 기술 변화추세와 개발전망)

  • Chung, Tae-Hwang;So, Sung-Young
    • Korean Security Journal
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    • no.19
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    • pp.225-244
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    • 2009
  • Electronic security system is composed mainly of electronic-information-communication device, so system technology, configuration and management of the electronic security system could be affected by the change of information-communication environment. This study is to propose the future prospect on the development of technique for electronic security system through the analysis of the trend and the actual condition on the development of technique. This study is based on literature study and interview with user and provider of electronic security system, also survey was carried out by system provider and members of security integration company to come up with more practical result. Hybrid DVR technology that has multi-function such as motion detection, target tracking and image identification is expected to be developed. And 'Embedded IP camera' technology that internet server and image identification software are built in. Those technologies could change the configuration and management of CCTV system. Fingerprint identification technology and face identification technology are continually developed to get more reliability, but continual development of surveillance and three-dimension identification technology for more efficient face identification system is needed. As radio identification and tracking function of RFID is appreciated as very useful for access control system, hardware and software of RFID technology is expected to be developed, but government's support for market revitalization is necessary. Behavior pattern identification sensor technology is expected to be developed and could replace passive infrared sensor that cause system error, giving security guard firm confidence for response. The principle of behavior pattern identification is similar to image identification, so those two technology could be integrated with tracking technology and radio identification technology of RFID for total monitoring system. For more efficient electronic security system, middle-ware's role is very important to integrate the technology of electronic security system, this could make possible of installing the integrated security system.

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Design of Multi-Purpose Preprocessor for Keyword Spotting and Continuous Language Support in Korean (한국어 핵심어 추출 및 연속 음성 인식을 위한 다목적 전처리 프로세서 설계)

  • Kim, Dong-Heon;Lee, Sang-Joon
    • Journal of Digital Convergence
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    • v.11 no.1
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    • pp.225-236
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    • 2013
  • The voice recognition has been made continuously. Now, this technology could support even natural language beyond recognition of isolated words. Interests for the voice recognition was boosting after the Siri, I-phone based voice recognition software, was presented in 2010. There are some occasions implemented voice enabled services using Korean voice recognition softwares, but their accuracy isn't accurate enough, because of background noise and lack of control on voice related features. In this paper, we propose a sort of multi-purpose preprocessor to improve this situation. This supports Keyword spotting in the continuous speech in addition to noise filtering function. This should be independent of any voice recognition software and it can extend its functionality to support continuous speech by additionally identifying the pre-predicate and the post-predicate in relative to the spotted keyword. We get validation about noise filter effectiveness, keyword recognition rate, continuous speech recognition rate by experiments.

A Study on Effectiveness of Hang-Tag Type and Preferred Method of Functional Information for Outdoor Jackets (아웃도어 재킷의 기능성표기 행택 유형에 대한 소비자의 이해도 및 선호도 연구)

  • Bang, Giseong;Yoo, Shinjung
    • Science of Emotion and Sensibility
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    • v.19 no.4
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    • pp.83-94
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    • 2016
  • The aim of this study was to investigate effective expression method of performance information of functional clothing and preferred alternatives for the categorized consumer groups according to the perception about the functional outdoor jacket. 472 males and females in their 20s-60s' were surveyed and their answers were analysed and categorized by using SPSS 21.0 statistical program. For the study, four different expression methods for waterproof & breathable fabric, 'illustration only', 'illustration+Korean text', 'illustration+foreign text', and 'chart with Korean text', were presented and asked for finding correct answers. The analysis was done for three categorized consumer groups from the former study, 'unconversant/brand & design pursuing group', 'conversant/function pursuing group' and 'high price/high function preferring group'. The results showed that regardless of groups, 'picture only' was the most preferred method and 'graph' was the least. However, the percentage of correct answers for the 'graph' was the biggest, especially for 'conversant/function pursuing group'. It implied that the effective expression method should be differentiated depending on the target consumer groups. 'Conversant/function pursuing group' more agreed on the need for additional information, such as 'after-washed performance', than other two groups.

Development of Gesture Recognition-Based 3D Serious Games (치매 예방을 위한 제스처 인식 기반 3D 기능성 게임 개발)

  • He, Guan-Feng;Park, Jin-Woong;Kang, Sun-Kyung;Jung, Sung-Tae
    • Journal of Korea Game Society
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    • v.11 no.6
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    • pp.103-113
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    • 2011
  • In this paper, we propose gesture recognition based 3D Serious Games to prevent dementia. These games are designed to enhance the effect of preventing dementia by helping increase brain usage and physical activities of users by the entire body gesture recognition. The existing cameras used for gesture recognition technology are limited in terms of recognition ratio and operation range. For more stable recognition of the body gestures, we recognized users with a 3D depth camera, obtained joint data of users, and analyzed joint motions to recognize gestures of the body. Game contents were designed to practice memory, reasoning, calculation, and spatial recognition focusing on the atrophy of brain cells as a major cause of dementia. Game results of each user were saved and analyzed to measure how their recognition skills improved.

Context Awareness-Based Smart Computing (상황 인식 기반 스마트 컴퓨팅)

  • Lee, Tae-Gyu;Ko, Myung-Sook
    • Proceedings of the Korea Information Processing Society Conference
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    • 2012.11a
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    • pp.172-175
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    • 2012
  • 스마트 컴퓨팅은 지능형 정보서비스로서 스마트폰, 스마트패드, 스마트TV 등의 다양한 스마트 기기를 비롯한 스마트 워크, 스마트 자동차 등의 새로운 정보화시스템 개념으로 대두되고 있다. 본 논문은 스마트 컴퓨팅의 컴퓨팅 환경과 최적의 정보 상호작용을 정립하기 위해서 정보 상호작용에 대한 상황 인식 기반 구조적, 기능적, 인터페이스 접근에 대해서 논의한다. 이러한 정보 상호작용을 통해서 사용자 컴퓨팅 환경에 최적화된 스마트 정보시스템의 효율적 구성과 사용자 정보서비스의 편의성을 구축한다.

An Experimental Study on Feature Subset Selection Methods (특징 선택 방법들의 성능 비교 분석에 대한 연구)

  • Yun, Chul-Min;Yang, Ji-Hoon
    • Proceedings of the Korea Information Processing Society Conference
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    • 2007.05a
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    • pp.439-442
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    • 2007
  • 패턴 인식의 성능 향상을 위해 효율적인 특징 선택을 해주는 것은 중요한 과정 중 하나이다. 본 연구에서는 최근에 제시되었던 특징 선택 방법들 중 대표적인 4 가지의 방법을 선택하여 성능을 비교 분석하였다. 데이터의 특징을 줄여주는 기능과 적은 수의 특징으로 더 좋은 패턴 인식 성능을 보여주는 기능의 수행 능력을 중심으로 평가하였으며, 각기 다른 형태의 데이터에 대해 각 방법들이 보이는 성능도 관찰하였다. 이를 토대로 각 방법의 장단점과 특징에 대해 생각해 본다.