• 제목/요약/키워드: Self recognition

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물리치료학과 학생들의 재활로봇에 대한 인식도와 자기효능감 조사 (A Survey on the Recognition of Rehabilitative Robots for Therapy and Self-Efficacy in University Students Enrolled in the Department of Physical Therapy)

  • 김태호;김다현;김세연;박하영;이은경;정인선;천지윤;김민희
    • PNF and Movement
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    • 제19권1호
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    • pp.115-125
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    • 2021
  • Purpose: This study aimed to investigate basic data on the recognition of rehabilitation robots and self-efficacy through general characteristics of students in the department of physical therapy. Methods: This study surveyed 100 students in the Department of Physical Therapy at E University in Seongnam using Google Form, an online survey tool. The questionnaire consisted of 64 questions including 15 questions on general characteristics, 13 questions regarding recognition of rehabilitative robots, and 36 questions about self-efficacy. General self-efficacy consisted of three sub-factors: confidence, self-regulation efficacy, and task difficulty preference. Results: The recognition of rehabilitative robots according to general characteristics showed significant differences in age, level of education, and experience in searching rehabilitative robots; according to general characteristics, self-efficacy showed significant differences dependent on age and gender (p < 0.05). In addition, recognition of rehabilitation robots for students in the Department of Physical Therapy was found to have a significant effect on robot use self-efficacy (p < 0.05). Conclusion: There were significant differences in the scores of rehabilitation robot recognition and self-efficacy according to the general characteristics of students in the Department of Physical Therapy. For such reasons, it is important for students to have an opportunity to get educated on rehabilitation robots; in order to achieve this goal, domestic studies on rehabilitation robots must be actively conducted. The technological development of rehabilitation robots and the establishment of a system for domestic rehabilitation robots from both social and legal standpoints were found to be necessary based on a volume of domestic research.

한국어 연결 숫자음 인식을 일한 최대 사후 Eigenvoice에 근거한 자기적응 기법 (Self-Adaptation Algorithm Based on Maximum A Posteriori Eigenvoice for Korean Connected Digit Recognition)

  • 김동국;전형배
    • 한국음향학회지
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    • 제23권8호
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    • pp.590-596
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    • 2004
  • 본 논문에서는 한국어 연결 숫자음 인식을 위한 최대 사후 eigenvoice을 사용한 자기적응 기법을 제안한다. 제안된 최대 사후 eigenvoice 기법은 eigenvoice 계수에 대한 확률 밀도 함수를 가정함으로 구성된다. 제안된 알고리즘은 기존 eigenvoice 추정 과정에 선 분포 모델을 포함하는 일반적인 해를 제공하는 구조를 갖는다. 인식할 한 문장만을 사용하는 자기 적응 시스템을 위해 매우 강인한 특성을 갖는 최대 사후 eigenvoice 적응 기법을 사용하였다. 한국어 연결 숫자음에 대한 일련의 자기 적응 실험결과 제안된 알고리즘의 성능은 매우 적은 량의 적응 데이터에 대해 기존 eigenvoice 알고리즘에 비해 우수한 성능을 나타냈었다.

어떤 사람이 보험을 필요로 하는가? - 보험 인식 및 사회경제적 가치관을 중심으로 - (Who Needs Life Insurance? - Focusing on Recognition of Insurance and Socioeconomic Values -)

  • 구혜경
    • 한국콘텐츠학회논문지
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    • 제21권8호
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    • pp.315-328
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    • 2021
  • 본 연구는 최근 1년 이내 생명보험을 가입한 경험이 있는 25-54세 성인소비자 1,500명을 보험 필요성 인식 수준에 따라 필요성 인식 상위, 중위, 하위의 3개 집단으로 유형화하고, 유형별로 보험 및 금융에 대한 인식 및 사회경제적 가치 인식에 차이가 있는지를 실증하였다. 특히 본 연구에서는 보험 및 금융관련 전반적 인식 요인, 보유 보험 개수, 보험 만족도 이외에 사회경제적 가치인식 요인의 영향력을 확인하고자 하였다. 보험 및 금융관련 전반적 인식 요인은 '보험을 전문관리 및 재테크 수단으로 인식', '자기주도적 보험 설계 및 가입', '보험에 대한 경제적 부담 인식'으로 구분되었고 사회경제적 가치 인식 요인은 '사회경제적 자족감', '워라밸 가치추구', '경제적 가치추구'로 구분되었다. 보험 필요성 인식 상위집단을 준거집단으로 필요성을 보다 높게 인식하는데 영향을 미치는 요인을 확인하였다. 특히 중위집단에 가장 영향을 미치는 요인은 보험을 전문관리 재테크 상품으로 인식하는 것이었으며, 상위집단은 워라밸 가치추구 요인인 것으로 나타났다. 두 번째로 영향을 미치는 요인은 두 집단 모두 자기주도적 보험 설계 및 가입 요인이었다. 향후 보험 가입율 증진을 위해 워라밸 가치 추구를 위해 보험이 필수적인 상품으로 인식될 수 있도록 교육, 소통해야 하며 소비자들이 스스로 정보를 탐색하고 상품을 비교할 수 있는 정보탐색 여건의 지속적인 개선이 보험시장 활성화를 위해 중요한 요소일 것이다.

일부지역의 주관적인 구취에 대한 인식 및 구취 자가진단에 관한 연구 (The subjective recognition of oral malodor and oral malodor self test)

  • 전주연;이경희
    • 한국치위생학회지
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    • 제14권6호
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    • pp.871-879
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    • 2014
  • Objectives: The purpose of the study was to investigate the appropriate management and implementation of the oral malodor prevention for the general people. Methods: A self-reported questionnaire was filled out by 420 subjects in Seoul and Gyeonggi Province from March to October, 2013. Except 19 copies, 401 copies were analyzed. The instrument of subjective oral malodor awareness and status was adapted from Yoon and Youn and partly modified. The questionnaire consisted of general characteristics(4 questions), oral malodor awareness(3 questions), oral malodor related characteristics(3 questions), self-diagnostic test of oral malodor(5 questions), and subjective oral malodor and health status(3 questions). Self-diagnostic test of oral malodor was score as yes(1 point) and no(0 point). The subjective oral malodor and health status scoring was done by Likert 5 scale. Cronbach alpha was 0.713 in the self-diagnostic test of oral malodor. Results: The self-recognition rate of oral malodor was 0.8%. When the level of oral malodor increased to 1 point, the self-test of oral malodor increased as the rate of 0.033(p<0.05). Conclusions: There existed no close correlation between subjective recognition of oral malodor and oral malodor self-test. Therefore, oral malodor should be measured by an expert counseling to make an accurate diagnosis. It is important to establish the appropriate oral malodor prevention program for the general people.

Malay Syllables Speech Recognition Using Hybrid Neural Network

  • Ahmad, Abdul Manan;Eng, Goh Kia
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2005년도 ICCAS
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    • pp.287-289
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    • 2005
  • This paper presents a hybrid neural network system which used a Self-Organizing Map and Multilayer Perceptron for the problem of Malay syllables speech recognition. The novel idea in this system is the usage of a two-dimension Self-organizing feature map as a sequential mapping function which transform the phonetic similarities or acoustic vector sequences of the speech frame into trajectories in a square matrix where elements take on binary values. This property simplifies the classification task. An MLP is then used to classify the trajectories that each syllable in the vocabulary corresponds to. The system performance was evaluated for recognition of 15 Malay common syllables. The overall performance of the recognizer showed to be 91.8%.

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노인의 일상생활 수행능력, 자기 효능감, 신체활동 및 인지기능의 관계 (The Relations among ADL, Self-efficacy, Physical Activity and Cognitive Function in Korean Elders)

  • 왕명자
    • 지역사회간호학회지
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    • 제21권1호
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    • pp.101-109
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    • 2010
  • Purpose: This study was to identify the relations among ADL, self-efficacy, physical activity and cognitive function in elders. Methods: A total of 257 subjects aged between 60 and 92 were selected through convenient sampling. Data were collected with a self-reported questionnaire from November 1 to November 30, 2008. Collected data were analyzed with SPSS/WIN 15.0. Results: Differences in ADL, self-efficacy, physical activity, and cognitive functions according to general characteristics were as follows. ADL was significantly different according to age, cohabitation, recognition on health, and successful aging. Self-efficacy was significantly different according to cohabitation, recognition on health, and successful aging. Physical activity was significantly different according to age, educational level, cohabitation, and cognition on health. Cognitive function was significantly different according to age, educational level, job, and recognition on health. The correlation coefficient (r) of the ADL variables was .565 for self-efficacy, .633 for physical activity and .460 for cognitive function. Conclusion: Findings of this study may be useful in understanding the health status of community-dwelling elders and developing more specific health promotion programs.

자기조직화 지도를 이용한 반도체 패키지 내부결함의 패턴분류 알고리즘 개발 (The Development of Pattern Classification for Inner Defects in Semiconductor Packages by Self-Organizing Map)

  • 김재열;윤성운;김훈조;김창현;양동조;송경석
    • 한국공작기계학회논문집
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    • 제12권2호
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    • pp.65-70
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    • 2003
  • In this study, researchers developed the estimative algorithm for artificial defect in semiconductor packages and performed it by pattern recognition technology. For this purpose, the estimative algorithm was included that researchers made software with MATLAB. The software consists of some procedures including ultrasonic image acquisition, equalization filtering, Self-Organizing Map and Backpropagation Neural Network. Self-organizing Map and Backpropagation Neural Network are belong to methods of Neural Networks. And the pattern recognition technology has applied to classify three kinds of detective patterns in semiconductor packages : Crack, Delamination and Normal. According to the results, we were confirmed that estimative algerian was provided the recognition rates of 75.7% (for Crack) and 83.4% (for Delamination) and 87.2 % (for Normal).

Presentation Attack Detection (PAD) for Iris Recognition System on Mobile Devices-A Survey

  • Motwakel, Abdelwahed;Hilal, Anwer Mustafa;Hamza, Manar Ahmed;Ghoneim, Hesham E.
    • International Journal of Computer Science & Network Security
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    • 제21권12spc호
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    • pp.415-426
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    • 2021
  • The implementation of iris biometrics on smartphone devices has recently become an emerging research topic. As the use of iris biometrics on smartphone devices becomes more widely adopted, it is to be expected that there will be similar efforts in the research community to beat the biometric by exploring new spoofing methods and this will drive a corresponding requirement for new liveness detection methods. In this paper we addresses the problem of presentation attacks (Spoofing) against the Iris Recognition System on mobile devices and propose novel Presentation Attack Detection (PAD) method which suitable for mobile environment.

거주지 별 자기이미지와 의복 추구이미지가 의복구매 의사결정에 미치는 영향 (The Influence of Self-Image and Pursued-Image of Clothes on the Clothing Purchase Decision Making According to the Residence)

  • 임경복
    • 대한가정학회지
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    • 제46권6호
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    • pp.49-59
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    • 2008
  • The purpose of this study was to examine the role of consumers' self-image and pursued-image of clothes on the clothing purchase decision making according to the location. Data were obtained from a questionnaire filled out by 575 women living in Seoul and Jechon. For data comparative analysis, paired t-test, t-test, factor analysis and multiple regression analysis were used. The results of this study are as follows: 1. There were significant differences in self-image and pursued-image in terms of clothing purchases between women who live in Seoul and Jechon residents. 2. Demographic variables influenced to the self-image and pursued-image of clothes factor. Among them, size of the city was the most important factor which influence to the clothing purchase behavior. 3. Self-image, pursued-image of clothes, problem recognition and evaluative criteria factors significantly differed between Seoul and Jechon residents. In two cities, problem recognition factor which was arisen by external stimulus and all of the evaluative criteria factors showed significant differences. 4. When the cities were partitioned by size(large and small city), the influence of self-image and pursued-image of clothes on the clothing purchase behavior showed different phases. Generally, self image and pursued-image of clothes were more important to various problem recognition and evaluative criteria factors in large city(i.e. Seoul) than in small city(i.e. Jechon). However economic rational factor was the exception.

호텔직원의 인구통계적특성에 따른 자기효능감에 대한 인식; 서울지역 특급호텔을 중심으로 (Recognition for Self-efficacy by Demographic Characteristics of Hotel Staffs; Deluxe Hotels in Seoul)

  • 김재곤;김연선
    • 한국콘텐츠학회논문지
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    • 제10권6호
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    • pp.450-459
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    • 2010
  • 본 연구는 특급호텔 직원이 지각하는 자기효능감에 대한 인식의 차이를 연구하고자 하였다. 본 연구의 과제는, 첫째, 서울지역의 특1급 호텔과 특2급 호텔에 근무하는 직원들을 대상으로 인지하고 있는 자기효능감을 측정한다. 둘째, 측정된 자기효능감은 본 연구를 위해 요인분석 한다. 셋째, 특1급 호텔과 특2급 호텔 직원들 간의 자기효능감의 차이를 연구한다. 넷째, 근무하고 있는 호텔직원들의 각각의 인구통계적 특성에 따라 자기효능감의 인식에 차이가 있는지 연구한다. 본 연구를 위해 모집단은 서울 지역 특급호텔에 근무하고 있는 직원들을 대상으로 하였고, 400부를 배포하여 총 352부를 분석 자료로 사용하였다. 연구결과 첫째, 특1급 호텔과 특2급 호텔 직원들의 자기효능감의 인식은 유의수준에서 유의한 차이가 있었다. 둘째, 인구통계적 특성 중 결혼유무, 전공학과, 학력, 재직기간 그리고 소득수준에 따라서 유의한 차이가 있는 것으로 확인되었다.