• 제목/요약/키워드: Ai-Chi

검색결과 86건 처리시간 0.035초

수중 Ai-Chi 운동프로그램이 신체 활동량에 따른 대상자의 엉덩관절 가동성과 자세 및 균형에 미치는 영향 (Effect of the Underwater Ai-Chi Exercise Program on Hip Joint Mobility, Body Balance and Posture Change Based on Amount of the Physical Activity of College Students )

  • 남기원;김세훈
    • 대한물리의학회지
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    • 제18권4호
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    • pp.89-96
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    • 2023
  • PURPOSE: To investigate the effects of the underwater Ai-Chi exercise on the joint range of motion, balance and posture. METHODS: Thirty-six college students (30 men, 6 women) were divided into a 'low physical activity' groups (Group I). and an 'appropriate physical activity' groups (Group II). The Ai-Chi underwater exercise was conducted three times a week for two weeks for both groups. A goniometer was used to measure the range of motion of the hip joint, and Y-Balance and the posture screen mobile were used to measure the stability of the lower extremities. RESULTS: An evaluation of the range of motion of the hip joint before and after the Ai-Chi exercise showed significant results in the low physical activity group. However, the flexural range showed a significant increase after exercise, but not significant result. In the comparison of the mean increase between groups, only the right hip joint showed a significant difference in both groups. Also, in the comparison of the Y balance test and posture screen test before and after exercise, both groups showed significant. CONCLUSION: The Ai-Chi underwater exercise helped improve the range of motion of the hip joint and the ability to balance. Also It helped improve posture alignment. In addition, although the increase in all physical activity groups lower than the appropriate physical activity groups was greater in all figures, the increase in the number of samples, the extension of the experimental period, and various variables could be obtained.

블록체인 기반 AI 법인 시스템: Juridical AI Chain (Blockchain-Based Juridical AI System : Juridical AI Chain)

  • 전민규;황지연;나현숙
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2019년도 추계학술발표대회
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    • pp.160-163
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    • 2019
  • 4차 산업혁명의 시대가 도래함에 따라 자율주행자동차 및 인공지능(Artificial Intelligent; AI) 로봇의 법적 지위와 민·형사법적 문제 해결을 위한 법제도 도입의 필요성이 제기되고 있다. 본 연구는 법제도 마련과 함께 준비되어야 할 기술적 패러다임으로서 AI 법인 및 블록체인 기반 AI 법인 시스템을 제안한다. 이 시스템에서는 특정 업무를 수행하는 AI 로봇 (하드웨어 또는 소프트웨어)이 정부의 엄격한 검증 및 테스트 기준에 따라 심사 및 인증을 받고, 그것의 정보, 인증 내용 및 알고리즘 코드가 임의로 조작될 수 없도록 암호화되어 블록체인에 기록된다. AI 로봇의 하드웨어 및 소프트웨어가 AI 법인으로서 정부의 인증을 받기 위해서는, 주요 업무 수행 및 네트워크 접근이 블록체인에 기록되고, 법인 시스템의 승인 없이는 작동될 수 없도록 하드웨어 또는 소프트웨어가 프로그래밍 되어 있어야 한다. 블록체인은 불변성과 보안성이 우수한 세계적으로 공유된 분산 데이터베이스이므로, 블록체인 기반 AI 법인 시스템을 국가적 정보시스템으로 도입하면 자율주행자동차 및 각종 AI 로봇의 상용화가 가져올 국내외적 문제와 혼란들을 대비하는데 큰 도움이 될 것이다.

어린이집내 인공지능 로봇 사용경험 여부에 따른 유아의 인공지능 인식 차이 (Differences in Preschool Children's Perceptions of Artificial Intelligence according to their Experiences with AI Robots in daycare centers)

  • 이보람;김수정
    • 한국보육지원학회지
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    • 제19권2호
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    • pp.43-59
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    • 2023
  • Objective: This study investigated the differences in preschool children's perceptions of artificial intelligence (AI) and their distribution by latent profiles according to their experience with AI robots in daycare centers. Methods: The participants included 119 five-year-old children, 52 of whom had experience with AI robots in daycare centers and 67 of whom did not. Children's perceptions of AI were measured using the Godspeed scale from Bartneck et al.(2009). Data were analyzed using a t-test, latent profile analysis, and chi-square test. Results: The results showed that compared to the inexperienced group, the experienced group reported lower levels of animacy and perceived intelligence of AI robots, indicating higher levels of AI knowledge and understanding. In addition, the experienced group had a higher probability of belonging to the 'machine recognition' type than 'organism recognition' type, although the difference was not statistically significant. Conclusion/Implications: The findings suggest that experience with AI robots in daycare centers can improve children's AI knowledge and understanding. To further enhance this effect, it is necessary to increase the number of robots put into classrooms, and to consider various teaching media that reflect children's preferences.

Model-based design of hierarchical event-based control

  • Chi, Sung-Do;Zeigler, Bernard P.
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1990년도 한국자동제어학술회의논문집(국제학술편); KOEX, Seoul; 26-27 Oct. 1990
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    • pp.1240-1245
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    • 1990
  • Intelligent Control is an extended paradigm that subsumes both control and AI paradigms, each of which is limited by its own abstractions. Autonomy, as a design goal, offers an arena where both control and AI paradigms must be applied -and a challenge to the viability of both as independent entities. We discuss hierarchical event-based control architectures in which AI and Control paradigms can be integrated within a model-based approach. In a niodel-based system, knowledge is encapsulated in the form of models at the various layers to support the predefined system objectives. Concepts are illustrated with a robotmanaged space-borne chemical laboratory.

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Is the Arch Index Meaningful

  • Lung, Chi-Wen;Yang, Sai-Wei;Hsieh, Lin-Fen
    • 한국운동역학회지
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    • 제19권2호
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    • pp.187-196
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    • 2009
  • The foot type is classified into normal, high or low arch according to either foot print or medial longitudinal arch (MLA) height. Plantar fasciitis, heel pain, Achilles tendinitis, stress fracture, metatarsalgia, knee pain, shin splint pain, and etc are common foot disorders and associate to the foot type. The purpose of this study was to evaluate several suggested bony inclination used to classified the abnormal foot and if the arch index (AI) was correlated with foot morphology. Lateral view and dorso-plantar view of radiographic images and flatbed scanner measurements obtained from 57 college students were analyzed. Results showed that AI measured in this study was higher than Caucasian Americans and European, but similar with African. The ethnic origin could influent the AI distribution. The AI provided a simple quantitative means of assessing the structure of lateral and medial longitudinal arches. The correlation coefficients of true bone height with AI could be further improved by normalized foot width rather than foot length. AI also demonstrated as a good indicator of inclination between calcaneus-fifth metatarsal (CalM5) and calcaneus-first metatarsal (CalX), it is a good means to classify the foot type.

Critical Factors Affecting the Adoption of Artificial Intelligence: An Empirical Study in Vietnam

  • NGUYEN, Thanh Luan;NGUYEN, Van Phuoc;DANG, Thi Viet Duc
    • The Journal of Asian Finance, Economics and Business
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    • 제9권5호
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    • pp.225-237
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    • 2022
  • The term "artificial intelligence" is considered a component of sophisticated technological developments, and several intelligent tools have been developed to assist organizations and entrepreneurs in making business decisions. Artificial intelligence (AI) is defined as the concept of transforming inanimate objects into intelligent beings that can reason in the same way that humans do. Computer systems can imitate a variety of human intelligence activities, including learning, reasoning, problem-solving, speech recognition, and planning. This study's objective is to provide responses to the questions: Which factors should be taken into account while deciding whether or not to use AI applications? What role do these elements have in AI application adoption? However, this study proposes a framework to explore the significance and relation of success factors to AI adoption based on the technology-organization-environment model. Ten critical factors related to AI adoption are identified. The framework is empirically tested with data collected by mail surveying organizations in Vietnam. Structural Equation Modeling is applied to analyze the data. The results indicate that Technical compatibility, Relative advantage, Technical complexity, Technical capability, Managerial capability, Organizational readiness, Government involvement, Market uncertainty, and Vendor partnership are significantly related to AI applications adoption.

M&S와 AI간의 유기적 통합을 위한 시간기반 전문가 시스템 설계 (Time-based Expert System Design for Coherent Integration Between M&S and AI)

  • 신석훈;지승도
    • 한국시뮬레이션학회논문지
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    • 제26권2호
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    • pp.59-65
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    • 2017
  • M&S의 발전과 더불어 국방 M&S등 인간의 의사결정을 포함하는 분야의 요구가 증대되는 현실에서 AI기술을 활용한 모델링 연구가 각광받고 있다. AI는 복잡한 문제 해결을 위한 방법임은 분명하나 M&S에서 요구되는 입력시점과 처리시간 등의 논리적 시간을 고려하지 않았다. 따라서 본 논문에서는 대표적인 AI 기술인 규칙기반 전문가시스템을 논리적 시간을 고려한 규칙구조 "IF-THEN-AFTER"와 추론엔진으로 재설계한 시간기반의 전문가 시스템을 제안하고, 기존의 규칙기반 전문가 시스템과의 차이를 설명하기 위한 간단한 예제를 들어 논리적 분석을 시도하였다. 그 결과로 제안하는 시간기반의 전문가 시스템 모델은 일반적인 규칙기반 전문가시스템과 다르게 입력시점과 추론시간에 따라 다른 결과를 보임을 알 수 있으며, 이는 M&S에서 요구되는 논리적 시간을 고려한 AI의 문제해결이 가능함을 의미한다.

슬골관절염 노인환자의 타이치운동 효과 (Effects of Tai Chi Exercise in Elderly with Knee Osteoarthritis)

  • 이혜영;이금재
    • 대한간호학회지
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    • 제38권1호
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    • pp.11-18
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    • 2008
  • Purpose: This study was to determine whether the Sun-style 24 forms of Tai Chi exercise improve pain, stiffness, disability, knee joint motion, mobility, balance or falling. Method: Forty-six community-dwelling elderly subjects (mean age, $75.46{\pm}6.28$) voluntarily participated in an intervention group of either 24 forms of Sun-style T ai Chi for 60 min, 2 times per week for 12 weeks or a control group. A non-equivalent pretest-posttest design was used. Independent t-test and ANCOVA were used to examine group differences by using SPSS12.0. Result: The experimental group had significantly less pain (F=7.60, p=.008) and stiffness (t=-3.19, p=.003) than the control group. Also there were significant improvements in knee joint motion on the right knee (t=2.44, p=.019), left knee (t=2.30, p=.026), rising time (F=8.03, p=.07), balance on the left single leg test (t=2.20, p=.033), and fear of falling (t=-2.33, p=.024) in the Tai Chi exercise group. No significant group differences were found in disability and falls efficacy. Conclusion: The Sun-style 24 forms Tai Chi exercise is effective in decreasing pain, stiffness, fear of falling and it improves balance, rising time, and knee joint motion. We suggest a continuing long term intervention to decrease disability and increase efficacy concerning falls.

기계 합금화한 AI-Ti합금의 열적 안정성에 미치는 V첨가의 영향 (Effect of V additions on the thermal stability of mechanically alloyed AI-alloys)

  • 오준영;박치승;김선진
    • 한국재료학회지
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    • 제4권4호
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    • pp.483-490
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    • 1994
  • AI-Ti합금의 열적 안정성에 미치는 V첨가의 영향에 대하여 조사하였다. AI-8wt.%Ti 분말과 Ti과 V의 원자비를 3:1, 1:1로 달리한 AI-8wt.%(Ti+V)분말을 기계적 합금화 방법으로 준비하였으며 16시간의 기계적 합금화 후 모든 조성에 대해 정상상태의 혼합 분말을 얻을 수 있었다. 기계적 합금화한 분말은 진공열간압축하여 성형하였다. 열적 안정성을 평가하기 위하여 $400^{\circ}C$, $480^{\circ}C$, $550^{\circ}C$에서 최고 1000시간까지 등온열처리후 경도시험을 행하였다. AI-Ti합금에 V을 첨가함으로써 $Ai_{3}Ti$의 조대화가 억제되어 열적 안정성이 증가하였음을 확인하였다.

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