• Title/Summary/Keyword: human case

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A Study on Application Case Analysis of Human Book Programs to the Library: Focused on the Case of Gyeong-gi Provincial Office of Education ('사람 책' 프로그램 운영 사례 분석을 통한 도서관 적용 방안 연구 - 경기도교육청 사례를 중심으로 -)

  • Lim, Seong-Gwan;Cho, Mi-ah
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.29 no.1
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    • pp.345-368
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    • 2018
  • The purpose of this study is to analyze the different human book programs operated by the Gyeonggi Provincial Office of Education and from this analysis, propose systematic and efficient ways to operate human book programs in libraries. In order to accomplish these objectives, we analyzed the case studies of the human book programs run by the Gyeonggi Provincial Office of Education from 2015 to 2017. As a result, participating readers were shown to be satisfied with the human book program overall and wanted to continue the program respectively. I personally found that I was able to meet with people involved with human books in various fields and could expand the time of conversation with them. Results of these conversations further suggest the positive feasibility of running a human book program in a library. The results of this study will help in the planning and operation of human book programs in any library.

A Study on Human-AI Collaboration Process to Support Evidence-Based National Innovation Monitoring: Case Study on Ministry of Oceans and Fisheries (Human-AI 협력 프로세스 기반의 증거기반 국가혁신 모니터링 연구: 해양수산부 사례)

  • Jung Sun Lim;Seoung Hun Bae;Kil-Ho Ryu;Sang-Gook Kim
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.46 no.2
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    • pp.22-31
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    • 2023
  • Governments around the world are enacting laws mandating explainable traceability when using AI(Artificial Intelligence) to solve real-world problems. HAI(Human-Centric Artificial Intelligence) is an approach that induces human decision-making through Human-AI collaboration. This research presents a case study that implements the Human-AI collaboration to achieve explainable traceability in governmental data analysis. The Human-AI collaboration explored in this study performs AI inferences for generating labels, followed by AI interpretation to make results more explainable and traceable. The study utilized an example dataset from the Ministry of Oceans and Fisheries to reproduce the Human-AI collaboration process used in actual policy-making, in which the Ministry of Science and ICT utilized R&D PIE(R&D Platform for Investment and Evaluation) to build a government investment portfolio.

Analytic Case Study on Ethical Responsibilities of the Nurse (간호사의 윤리적 책임을 주제로 한 사례분석적 연구 -투옥된 정치범을 중심으로-)

  • Paik Hoon-Jung
    • Journal of Korean Academy of Fundamentals of Nursing
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    • v.6 no.2
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    • pp.277-287
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    • 1999
  • Respect for human life and respect for human rights are basic values which the organized nursing profession has urged its members to adhere to in their service to human beings. This study was designed and carried out to identify ways to reconcile often conflicting basic values in practice. This study focused on ethical dilema experienced by nurses who were caring for political offenders in prison. Concrete case study was presected to show solutions to the problems.

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A human case of house dust mite Tarsonemus floricolus collected from sputum

  • Ryu, Jae-Sook;Ree, Han-Il;Min, Duk-Young;Ahn, Myoung-Hee
    • Parasites, Hosts and Diseases
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    • v.41 no.3
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    • pp.171-173
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    • 2003
  • A 23-year-old medical student showed a positive reaction on a skin test for Paragonimus westermani, and two Tarsonemus floricolus mites were subsequently found by sputum examination and identified morphologically. Our report is the first human case of Tarsonemus floricofus in Korea.

Research on Thermal Comfort by Increasing Air Conditioner Temperature (에어컨 온도상승에 따른 온열쾌적성 변화에 관한 연구)

  • Kim, Hyung-Chul;Kum, Jong-Soo;KIM, Dong-Gyu;CHUNG, Yong-Hyun
    • Journal of Fisheries and Marine Sciences Education
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    • v.18 no.2
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    • pp.77-84
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    • 2006
  • This research evaluates thermal comfort by comparing the case of maintain cooing temperature of room with the case of raising it at the point of time that human body begins to adapt. An experiment uses constant temperature & humidity chamber 2 places. Pretesting room make up summer season environment, the testing room control by air-conditioner. In condition that maintain temperature of $33^{\circ}C$. The subjects stay in the pretesting room during the 30 minute for the heat storage amount of the normal summertime. The subjects stay in the testing room under each case (case 1: maintaining $24^{\circ}C$, case 2: maintaining $26^{\circ}C$, case 3: up $1^{\circ}C$ after maintaining $24^{\circ}C$ during 30 minute, case 4: up $1^{\circ}C$ after maintaining $26^{\circ}C$ during 40 minute). 1. Result of comparison of case 1 and case 2 appears that thermal sensitive vote examine from slight cool to cool and thermal comfort examine slight comfort by temperature rise at human body adaptation point of time.2. Test of case 3 and case 4 appear similar value at thermal sensitive vote and thermal comfort.3. Through the case 2 and case 4, continuous thermal comfort maintain at $24^{\circ}C$, if raise $26^{\circ}C$, same thermal comfort maintain after a human body adaptation temperature rising effect bring energy saving.

Experimental study on human arm motions in positioning

  • Shibata, S.;Ohba, K.;Inooka, H.
    • 제어로봇시스템학회:학술대회논문집
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    • 1993.10b
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    • pp.212-217
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    • 1993
  • In this paper, characteristics of the motions of a human arm are investigated experimentally. When the conditions of the target point are restricted, human adjusts its trajectory and velocity pattern of the arm to fit the conditions skillfully. The purpose of this work is to examine the characteristics of the trajectory, velocity pattern, and the size of the duration in the following cases. First, we examine the case of point-to-point motion. The results are consistent with the minimum jerk theory. However, individual differences in the length of the duration can be observed in the experiment. Second, we examine the case which requires accuracy of positioning at the target point. It is found that the velocity pattern differs from the bell shaped pattern explained by the minimum jerk theory, and has its peak in the first half of the duration. When higher accuracy of the positioning is required, learning effects can be observed. Finally, to examine the case which requires constraint of the arm posture at the target point, we conduct experiments of a human trying to grasp a cup. It is considered that this motion consists of two steps : one is the positioning motion of the person in order to start the grasping motion, the other is the grasping motion of the human's hand approaching toward the cup and grasping it. In addition, two representative velocity patterns are observed : one is the similar velocity pattern explained in the above experiment, the other is the velocity pattern which has its relative maximum in the latter half of the duration.

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A STUDY ON SATELLITE DIAGNOSTIC EXPERT SYSTEMS USING CASE-BASED APPROACH (사례기반 추론을 이용한 위성 고장진단 전문가 시스템 구축)

  • 박영택;김재훈;박현수
    • Journal of Astronomy and Space Sciences
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    • v.14 no.1
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    • pp.166-178
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    • 1997
  • Many research works are on going to monitor and diagnose diverse malfunctions of satellite systems as the complexity and number of satellites increase. Currently, many works on monitoring and diagnosis are carried out by human experts but there are needs to automate much of the routine works of them. Hence, it is necessary to study on using expert systems which can assist human experts routine work by doing automatically, thereby allow human experts devote their expertise more critical and important areas of monitoring and diagnosis. In this paper, we are employing artificial intelligence techniques to model human expert's knowledge and inference the constructed knowledge. Especially, case-based approaches are used to construct a knowledge base to model human expert capabilities which use previous typical exemplars. We have designed and implemented a prototype case-based system for diagnosing satellite malfunctions using cases. Our system remembers typical failure cases and diagnoses a current malfunction by indexing the case base. Diverse methods are used to build a more user friendly interface which allows human experts can build a knowledge base in an easy way.

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Continuous Human Activity Detection Using Multiple Smart Wearable Devices in IoT Environments

  • Alshamrani, Adel
    • International Journal of Computer Science & Network Security
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    • v.21 no.2
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    • pp.221-228
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    • 2021
  • Recent improvements on the quality, fidelity and availability of biometric data have led to effective human physical activity detection (HPAD) in real time which adds significant value to applications such as human behavior identification, healthcare monitoring, and user authentication. Current approaches usually use machine-learning techniques for human physical activity recognition based on the data collected from wearable accelerometer sensor from a single wearable smart device on the user. However, collecting data from a single wearable smart device may not provide the complete user activity data as it is usually attached to only single part of the user's body. In addition, in case of the absence of the single sensor, then no data can be collected. Hence, in this paper, a continuous HPAD will be presented to effectively perform user activity detection with mobile service infrastructure using multiple wearable smart devices, namely smartphone and smartwatch placed in various locations on user's body for more accurate HPAD. A case study on a comprehensive dataset of classified human physical activities with our HAPD approach shows substantial improvement in HPAD accuracy.

A study for Decision Method of Human Body Safety according to Power Load Fluctuation of the Chechon Area (제천지역 전력부하변동에 따른 인체 전 판단 방법에 대한 연구)

  • 김상철;김두현
    • Journal of the Korean Society of Safety
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    • v.15 no.4
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    • pp.69-77
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    • 2000
  • This paper presents a study for decision method of human body safety according to power load fluctuation of the Chechon area. To cope with substantial electromagnetics analysis, the safety assessments were analyzed the double 154 [kV] T/L, 345 [kV] T/L, Chechon-Ichon, Chechon-Youngju, respectively. As the results of case study, in case of 345 [kV] T/L, the electric field value was 11.4927 [kV/m], magnetic field value was 0.4622 [G] at the point about 7 [m] away from the line in severest case. The results showed that the membership of a proposition fuzzy '11.4937 [kV/m] is hazardous' is 0.7063 for the severest case in case of 345 [kV] T/L. As the analytic results using the fuzzy qualifier term, the membership in case of very false is 0.0862 and fairly false is 0.5419, respectively.

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Intention Recognition Using Case-base Learning in Human Vehicle

  • Yamaguchi, Toru;Dayaong, Chen;Takeda, Yasuhiro;Jing, Jianping
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2003.09a
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    • pp.110-113
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    • 2003
  • Most traffic accidents are caused by drivers' carelessness and lack of information on the surrounding objects. In this paper we proposed a model of human intention recognition through case-base learning and to build up an experiment system. The system can help us recognize object's intention (e.g. turn left, turn right or straight) by using detected data about human's motion, speed of the car and the distance between the car and the intersection. Furthermore, we included an example using case-base learning in this paper to improve the precision of recognition as well as an example to explain the use of the system. PC can be used to predict the driving reaction beforehand and send a warning signal to the driver in time if there is any danger.

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