• 제목/요약/키워드: assistant

검색결과 1,401건 처리시간 0.166초

Development of Walking Assistant Controller for Patients with Weakness in Cardiopulmonary System (심폐기능 허약자를 위한 보행보조장치 제어기 개발)

  • Kang, S.J.;Kim, G.S.;P, S.H.;Mun, M.S.;Sei, S.W.;Kim, J.K.;Ryu, J.C.
    • Journal of rehabilitation welfare engineering & assistive technology
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    • 제4권1호
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    • pp.23-28
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    • 2010
  • Case of patients with weakness in cardiopulmonary system, other ambulatory function is normal, but oxygen supply function is problem. So they need reduce energy consumption for gait by assistance system. In this study, we designed and developed walking assistant device which helps flexion and extension of hip joint for cardiopulmonary patients. There are two motors, each at the left and right side of pelvis, providing torque to the hip joint. The target angle of the flexion and extension in the hip joint is set according to the normal gait. As a result, reduction of energy consumption was 14.8% by gait assistive device.

Speed Control of DC Motor for Roller Type Seeder (롤러형 파종기 구동용 직류모터의 회전속도 제어)

  • 이중용;김유용;박상래
    • Journal of Biosystems Engineering
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    • 제25권5호
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    • pp.351-358
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    • 2000
  • This study was conducted to develop a speed control system of a DC motor which drove a barley seeder mounted on a combine harvester. Barley seeder mounted on a combine has been known to reduce labor and cost of barley cultivation. However, development of the seeder has been unsuccessful because the combine, a dedicated rice and barley harvester has not enough space and proper power take-off for barley seeder. To develop a barley seeder, small powered motor speed controller was required. A proximity sensor for detecting working speed of the combine and a programmable one board microprocessor was used to develope a control system. Motor parameters and motor constant, relationship between seeding rate, motor speed, groove volumes of a tested roller, torque were measured. The proximity sensor sent a frequency signal to the microprocessor. In laboratory experiments, the excitation voltage of the motor was shown not to be proportional to the size of pulse width (duty ratio). A table transforming frequency signal, that represented for working speed to proper pulse width was developed from seeding rate experiments. However, seeding rate at low frequency signal was not proportional to the working speed. Seeding rate control proportional to the frequency signal was achieved by shifting of the frequency signal.

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An Intelligent Auto Parking System for Vehicles

  • Razinkova, Anastasia;Cho, Hyun-Chan;Jeon, Hong-Tae
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제12권3호
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    • pp.226-231
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    • 2012
  • Autoparking assistant systems are a new and very promising area in automotive systems engineering. Since the traffic in modern cities becomes more intense, it is getting harder for a driver. Those systems are necessary for an inexperienced one to find a proper parking slot, or to park in a narrow parking slot without damaging his car or the vehicles around. The implementation of autoparking assistant systems may reduce drivers' stress and make parking generally more comfortable. In addition, such system can be extremely useful for senior or disabled people or for drivers with reduced mobility. The implementation of autoparking assistant systems may increase the safety of the parking, and therefore the development of such systems is a highly-demanded task. We introduce an intelligent autoparking system that automatically generates trajectory for parking using a fuzzy logic. This paper consists of three parts. In first part we introduce trajectory generation method for parallel parking without collisions. Fuzzy-logic based trajectory generation algorithm is described in second part. Experimental results presented in the third part of the paper prove effectiveness of the proposed method.

Effect of Carrying Weight on the Gait of Elderly Women when using a Walking Assistant Vehicle

  • Roh, Hyo-Lyun;Son, Sung-Min;Kwag, Sung-Won
    • Journal of the Korean Society of Physical Medicine
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    • 제13권4호
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    • pp.1-8
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    • 2018
  • PURPOSE: This study was conducted to analyze the effects of carrying weight on the gait of elderly women using a walking-assistant vehicle (WAV) as the weight increased. METHODS: A total of 30 elderly women living in the local community were included as subjects and instructed to walk 50 m using a WAV loaded with sandbags corresponding to 0%, 5%, 10%, or 15% of their mean weight. The subjects' gait was analyzed using a gait analyzer to measure stride length, step length, step width, and gait time. RESULTS: Stride and step lengths were longest when carrying 5% of their weight and shortest when carrying 15% of their mean body weight. Step width and gait time were lowest when carrying weights corresponding to 5% and highest for 15% of their mean body weight. When observing gait with a WAV, the gait time was greatly affected by weights, with carrying weight equivalent to 5% of the body weight positively affected the gait with a WAV, whereas carrying weights of >15% resulted in slower gait speed. CONCLUSION: When walking with a WAV, an appropriate carrying weight of approximately 5% of the body weight stabilizes gait, while a weight of 15% leads decreased gait efficiency. Therefore, when using a WAV during outdoor activities, elderly women should add some weight to the WAV; however, the carrying weight should be <15% of the body weight.

Disaster preparedness and response competency of emergency medical technician-paramedics in the disaster medical assistant team (재난의료지원팀 내 1급 응급구조사의 재난대비·대응역량에 관한 연구)

  • Park, Jong-Chan;Lee, Kyoung-Youl
    • The Korean Journal of Emergency Medical Services
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    • 제23권2호
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    • pp.19-31
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    • 2019
  • Purpose: This study aimed to investigate disaster preparedness competence and disaster response competence of paramedics working in emergency medical centers operating a disaster medical assistance teams. Methods: Data of 174 emergency medical technician(EMT)-paramedics were collected from July 15 to August 14, 2018 at regional and local emergency medical centers that operate disaster medical assistant team. Analysis of the data was carried out with IBM SPSS statistics 24.0 software (IBM, Armonk, NY, USA). Results: The mean disaster preparedness competence score was $3.57{\pm}0.63$ (out of five). Participants' disaster preparedness competence significantly differed according to type of emergency medical center (p<.000), disaster education experience (p<.000), and education frequency (p=.001). The mean disaster response competence score was $4.09{\pm}0.57$ (out of five). Participants' disaster response competence significantly differed according to disaster education experience (p<.000) and medical assistance experience (p=.045). Conclusion: Emergency medical technician-paramedics without disaster training should first be provided with this training. Further, it is important for EMT-paramedics to know their disaster preparedness and response capacities and strengthen their shortcomings. It is also important to develop education and training programs that properly equip EMT-paramedics with practical competencies.

An AI Technology-based Intelligent Senior Assistant Voice Recognition System (AI 기술 기반 지능형 시니어 도우미 음성인식 시스템)

  • Hong, Phil-Doo
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 한국정보통신학회 2019년도 춘계학술대회
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    • pp.355-357
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    • 2019
  • Now that we are entering an aging society, the user interface for new devices and IoT technology is very inconvenient for senior generation. To improve this, we propose an AI technology-based intelligent senior assistant voice recognition system. This system implements Cloud platform based API to accumulate data for machine learning processing, provides content for diagnosis and prevention of dementia, and provide chat-bot content for senior generation. We hope that senior generations will increase the accessibility and convenience of IoT devices and new technology devices with our system.

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A reliable intelligent diagnostic assistant for nuclear power plants using explainable artificial intelligence of GRU-AE, LightGBM and SHAP

  • Park, Ji Hun;Jo, Hye Seon;Lee, Sang Hyun;Oh, Sang Won;Na, Man Gyun
    • Nuclear Engineering and Technology
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    • 제54권4호
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    • pp.1271-1287
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    • 2022
  • When abnormal operating conditions occur in nuclear power plants, operators must identify the occurrence cause and implement the necessary mitigation measures. Accordingly, the operator must rapidly and accurately analyze the symptom requirements of more than 200 abnormal scenarios from the trends of many variables to perform diagnostic tasks and implement mitigation actions rapidly. However, the probability of human error increases owing to the characteristics of the diagnostic tasks performed by the operator. Researches regarding diagnostic tasks based on Artificial Intelligence (AI) have been conducted recently to reduce the likelihood of human errors; however, reliability issues due to the black box characteristics of AI have been pointed out. Hence, the application of eXplainable Artificial Intelligence (XAI), which can provide AI diagnostic evidence for operators, is considered. In conclusion, the XAI to solve the reliability problem of AI is included in the AI-based diagnostic algorithm. A reliable intelligent diagnostic assistant based on a merged diagnostic algorithm, in the form of an operator support system, is developed, and includes an interface to efficiently inform operators.

Development of a Scheduling Assistant Program for Usability Improvement of Construction Scheduling Solutions (건설 공정관리 솔루션의 활용성 증대를 위한 공정표 작성 지원 프로그램 개발)

  • Park, Sung Hwan;Lee, Si Wook;Woo, Sungkwon;Shin, Do Hyoung
    • KSCE Journal of Civil and Environmental Engineering Research
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    • 제30권4D호
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    • pp.413-421
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    • 2010
  • Scheduling management is one of the most important factors for the efficient performance of construction projects. Various computer-aided solutions for schedule management have been developed, but they are not commonly used in practice. This study conducted surveys on scheduling management methods and the related solutions to identify their status and problems in practice. Based on the results of the surveys, this study also developed a scheduling assistant program to improve the usability of scheduling management solutions. Through the developed program, the usability of scheduling management solutions will be improved in practice, thus enabling efficient scheduling management.

Application of AI in Marketing Strategy: Insights from Millennials and Generation Z

  • Yooncheong CHO
    • The Journal of Economics, Marketing and Management
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    • 제12권1호
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    • pp.29-38
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    • 2024
  • Purpose: The purpose of this study is to explore the perceptions of millennials and Generation Z regarding AI applications in marketing, an area that has been rarely explored in previous researches. This study formulated research questions how millennials and Generation Z perceive the impact of brand image, AI-assistant customer service, affective factor, immersive experience, cognitive factor social factor and competitiveness of products and brands on overall attitude through the lens of AI applications in marketing. Additionally, this study also explored the influence of overall attitudes on satisfaction, intention to use, and loyalty towards AI applications. Research design, data and methodology: To gather data, this study employed an online survey conducted in collaboration with a reputable research organization. This study utilized factor analysis, ANOVA, and regression analysis for data analysis. Results: The findings revealed that the impact of brand image, AI-assistant customer service, and competitiveness on attitude demonstrated significance in both millennials and generation Z cohorts. The study identified that cognitive and social factors significantly influenced attitudes among millennials, whereas affective and immersive experiences showed significance in influencing attitudes among Generation Z. Conclusions: The findings offer valuable managerial implications, shedding light on the application of AI in marketing with distinct perspectives between millennials and Generation Z.

The Effects of Pair Assistant Collaborative Learning on Academic Achievement of Second Year Middle School Students in the Areas of Probability and Figures (짝 도우미 협력학습이 중학교 2학년 확률 및 도형영역의 학업성취에 미치는 효과)

  • Shin, Haeng-Ja;Kim, Seong-A;Shim, Kyu-Bark
    • Communications of Mathematical Education
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    • 제25권1호
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    • pp.261-288
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    • 2011
  • We examined the effects of pair assistant collaborative learning on academic achievement of the 2nd year middle school students in the three subjects such as the Probability, Properties of Figures and Similarities of Figures. In order to carry out this study, we selected 2 classes of 2nd year students in a girls middle school in the Fall semester of 2009 and set up the experiment group and comparison group by the result of academic achievement tests given in the end of the Spring semester of 2009. Pair assistant collaborative learning was adopted for students in problem solving 2 or 3 times per a week in the experiment group and each academic achievement was given at the end of each subject in both groups. Also, we had a final survey to find out students' attitude to this collaborative learning. The achievement and survey were analysed by statistical methods. We conclude that our pair assistant collaborative learning was effective in Probability and Similarities of Figures Units. According to the result of survey, this collaborative learning brought about an opportunity to promote students' community spirit through reflecting each one's role in the group.