• 제목/요약/키워드: task performance rate

검색결과 260건 처리시간 0.034초

노인의 인지기능, 손의 기민성 및 인지과제를 결합한 이중과제 수행과의 상관성 연구 (Correlation of Cognitive Function and Dual-task Performance in Elderly)

  • 곽호성
    • 대한통합의학회지
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    • 제10권4호
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    • pp.83-91
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    • 2022
  • Purpose: The goal of this study was to investigate changes in dual-task performance according to age and difficulty of cognitive tasks for the in community-dwelling elderly populations, as well as to examine their changes in hand dexterity according to age and cognitive function. Methods: A total of 135 people aged 65 years old and over participated in the study. To evaluate each participant's dual-task performance, each participant completed a dual task. To assess their cognitive function, the Korean Mini-Mental State Examination (MMSE-K) and the Korean version of Montreal Cognitive Assessment (MoCA-K) were the tools used. Participants were divided into three groups based on their age: 65-69 years, 70-79 years, and 80-89 years. Results: The findings showed that age groups and the difficulty of the cognitive task significantly affected the amount of time required for dual-task performance (p<.001). Additionally, the dual-task correct response rate (CRR) decreased significantly with age groups and the difficulty of the cognitive task (p<.001). The amount of time required for finger dexterity performance increased significantly with age groups (mean score±standard deviation [SD]; 19.46±2.26 in subjects aged 65-69 years; 21.92±2.61 in subjects aged 70-79 years; and 23.82±2.92 in subjects aged 80-89 years; p<.001). Moreover, as a result of the correlation between hand dexterity and cognitive function, MoCA-K was -0.563 and MMSE-K was -.412, showing a statistically significant correlation (p<.001). Conclusions: Age and the difficulty of the cognitive task affect the community-dwelling elderly populations in terms of dual-task performance and dual-task CRR. In addition, aging and general cognition have an impact on hand dexterity. Based on the results of this study, it is anticipated that the results will serve as a reference for domestic clinical trials that confirm cognitive decline in the elderly using dual task and hand dexterity evaluation.

아급성기 뇌졸중 환자에서 지각-운동 과제를 통한 내잠 학습의 효과 (The Effect of Implicit Motor Sequence Learning Through Perceptual-Motor Task in Patients with Subacute Stroke)

  • 이미영;박래준;남기석
    • The Journal of Korean Physical Therapy
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    • 제20권3호
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    • pp.1-7
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    • 2008
  • Purpose: Implicit motor learning is the capacity to acquire skill through physical practice without conscious awareness of what elements of performance improved. This study investigated whether subacute stroke patients can implicitly learn a perceptual-motor task. Methods: We recruited 12 patients with subacute stroke and 12 age-matched controls. All participants performed a perceptual-motor task that involved pressing a button corresponding with colored circles (blue, green, yellow, red) on a computer screen. The task consists of 7 blocks composed of 10 repetitions for a repeating 12-element sequence (total 120 responses). Results: Both groups demonstrated significant improvement in acquisition performance. Reaction times deceased in both groups at similar rate within the sequential block trials (2-5 blocks), and reaction times increased at a similar rate when the task paradigm was transferred from the sequential block trial to the random block trial (5-6-7 blocks). Conclusion: The results of this study suggest that patients with sub-actue stroke can implicitly learn a perceptual motor skill. Although explicit instructions should be used to focus the learner's attention rather than provide information about the task, the application of implicit motor learning strategies in the rehabilitation setting may be beneficial.

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Hi Herzberg ? : The Role of Compensation Factors and Suggestions for Performance Compensation System

  • Kim, Yoo-Gue;Yang, Woo-Ryeong;Kim, Ha-Ryong;Yang, Hoe-Chang
    • 융합경영연구
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    • 제5권1호
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    • pp.21-26
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    • 2017
  • Purpose - This study extracts performance-reward factors based on the previous studies related to Herzberg's two-factor theory and performance-reward and proposes a research method to identify how these factors have an influence on task performance directly related to production performance and contextual performance that has an indirect influence. Research Design, Data, and Methodology - This study draws performance-reward factors through Focus Group Interview(FGI), classifies them into economic/uneconomic and direct/indirect factors, draws maintenance/improvement factors and unnecessary ones through IPA, and maximizes the effectiveness of performance-reward factors. Results - It also identifies how performance-reward factors have an influence on internal and external motives based on previous studies, classifies performance-reward factors into task performance and contextual performance and identifies the influence relationship between these, and proposes a research model to identify the roles of equity sensitivity based on equity theory. Conclusion - The findings from this study are expected to lay the groundwork for drawing various methods to reduce the turnover rate of employees and be important resources for reinforcing the competitiveness of businesses by classifying the performance -reward factors that may cause internal and external motives from the small and medium-sized manufacturing perspective and presenting methods to identify if these have an influence on task performance and contextual performance.

MEC 시스템에서 태스크 파티셔닝 기법의 성능 비교 (Performance Comparison of Task Partitioning Methods in MEC System)

  • 문성원;임유진
    • 정보처리학회논문지:컴퓨터 및 통신 시스템
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    • 제11권5호
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    • pp.139-146
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    • 2022
  • 최근 사물 인터넷의 발전과 함께 차량과 IT 기술의 융합되어 자율주행과 같은 고성능의 어플리케이션들이 등장하면서 멀티 액세스 엣지 컴퓨팅(MEC)이 차세대 기술로 부상하였다. 이런 계산 집약적인 태스크들을 낮은 지연시간 안에 제공하기 위해, 여러 MEC 서버(MECS)들이 협력하여 해당 태스크를 수행할 수 있도록 태스크를 파티셔닝하는 기법들이 많이 제안되고 있다. 태스크 파티셔닝과 관련된 연구들은 모바일 디바이스에서 태스크를 파티셔닝하여 여러 MECS들에게 오프로딩을 하는 기법과 디바이스에서 MECS로 오프로딩한 후 해당 MECS에서 파티셔닝하여 다른 MECS들에게 마이그레이션하는 기법으로 나누어볼 수 있다. 본 논문에서는 오프로딩과 마이그레이션을 이용한 파티셔닝 기법들을 파티셔닝 대상 선정 방법 및 파티셔닝 개수 변화에 따른 서비스 지연시간, 거절률 그리고 차량의 에너지 소비량 측면에서의 성능을 분석하였다. 파티셔닝 개수가 증가할수록 지연시간의 성능은 향상하나, 거절률과 에너지 소모량의 성능은 감소한다.

실시간 시스템에서 성능 향상 기법 (Enhanced Technique for Performance in Real Time Systems)

  • 김명준
    • 한국IT서비스학회지
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    • 제16권3호
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    • pp.103-111
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    • 2017
  • The real time scheduling is a key research area in high performance computing and has been a source of challenging problems. A periodic task is an infinite sequence of task instance where each job of a task comes in a regular period. The RMS (Rate Monotonic Scheduling) algorithm has the advantage of a strong theoretical foundation and holds out the promise of reducing the need for exhaustive testing of the scheduling. Many real-time systems built in the past based their scheduling on the Cyclic Executive Model because it produces predictable schedules which facilitate exhaustive testing. In this work we propose hybrid scheduling method which combines features of both of these scheduling algorithms. The original rate monotonic scheduling algorithm didn't consider the uniform sampling tasks in the real time systems. We have enumerated some issues when the RMS is applied to our hybrid scheduling method. We found the scheduling bound for the hard real-time systems which include the uniform sampling tasks. The suggested hybrid scheduling algorithm turns out to have some advantages from the point of view of the real time system designer, and is particularly useful in the context of large critical systems. Our algorithm can be useful for real time system designer who must guarantee the hard real time tasks.

병원간호조직의 특성과 개인의 특성이 결과변수에 미치는 영향 (The Impact of Organizational and Individual Characteristics on Outcome Variables)

  • 이상미
    • 간호행정학회지
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    • 제13권2호
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    • pp.156-166
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    • 2007
  • Purpose: The purpose of the present study was to examine the causal relationships among hospital nursing organizational characteristics (organizational climate, workload), individual characteristics (experience, education) and outcome variables (job satisfaction, job stress, task performance) by constructing and testing a conceptual framework. Method: Five large general hospitals located in Seoul were selected to participated. The total sample of 245 registered nurses represents a response rate of 94 percent. Data for this study was collected from January to February in 2006 by questionnaire. Path analyses with LISREL program were used to test the fit of the proposed model to the data and to examine the causal relationships among variables. Result: Both the proposed model and the modified model fit the data excellently. The model revealed relatively high explanatory power of work stress (40%), job satisfaction (46%) and task performance (27%) by predicted variables. In predicting work stress, job satisfaction and task performance, the finding of this study clearly demonstrate organizational climate might be the most important variable. Conclusion: Based on the findings of the study, it was suggested that desirable organizational climate was needed to increase the nurses' mental and physical health as well as qualified task performance.

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강화 이론에 근거한 교사 보조 로봇 인터랙션 디자인: 수행도와 반응률 측정을 중심으로 (The Interaction Design of Teaching Assistant Robots Based on Reinforcement Theory: With an Emphasis on the Measurement of Task Performance and Reaction Rate)

  • 곽소나;이동규;이민구;한정혜;김명석
    • 로봇학회논문지
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    • 제1권2호
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    • pp.142-150
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    • 2006
  • This study examines whether the reinforcement theory would be effectively applied to teaching assistant robots between a robot and a student in the same way as it is applied to teaching methods between a teacher and a student. Participants interact with a teaching assistant robot in a 3 (types of robots: positive reinforcement vs. negative reinforcement vs. both reinforcements) by 2 (types of participants: honor students vs. backward students), within-subject experiment. Three different types of robots, such as 'Ching-chan-ee' which gives 'positive reinforcement', 'Um-bul-ee' which gives 'negative reinforcement', and 'Sang-bul-ee' which gives both 'positive and negative reinforcement' are designed based on the reinforcement theory and the token reinforcement system. Participants' task performance and reaction rate are measured according to the types of robots and the types of participants. In task performance, the negative reinforcement robot is more effective than the other two types, but regarding the number of stimulus, the less the stimulus is, the more effective the task performance is. Also, participants showed the highest reaction rate on the negative reinforcement robot which implies that the negative reinforcement robot is most effective to motivate students. The findings demonstrate that the participants perceive the teaching assistant robot not as a toy but as a teaching assistant and the reinforcement interaction is important and effective for teaching assistant robots to motivate students. The results of this study can be implicated as an effective guideline to interaction design of teaching assistant robots.

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고농도 산소가 덧셈과제 수행능력과 생리신호에 미치는 영향 (Effect of Highly Concentrated Oxygen Administration on Addition Task Performance and Physiological Signals)

  • 정순철;임대운
    • 감성과학
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    • 제11권1호
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    • pp.105-112
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    • 2008
  • 본 연구에서는 40% 농도의 산소 공급이 난이도에 따른 덧셈과제 수행 능력, 혈중 산소 포화도, 심박동율의 변화에 어떠한 영향을 미치는지 관찰하였다. 10명의 남자와 10명의 여자 대학생이 두 가지 농도의 산소 (21%, 40%)를 흡입하면서 세 가지 난이도의 덧셈연산을 수행하였다. Rest1 (3분), Task1 (1분, 한 자리 수 덧셈), Task2 (1분, 두 자리 수 덧셈), Task3 (1분, 세 자리 수 덧셈), Rest2 (4분)의 순서로 실험이 진행되었고, 모든 구간에서 혈중 산소 포화도와 심박동율이 측정되었다. 21%에 비해 40% 농도의 산소를 공급했을 때 평균 정답률이 증가하였고, 난이도가 증가할수록 정답율의 차이가 더컸다. 21%에 비해 40%의 산소가 주어질 때 모든 구간에서 혈중 산소 포화도는 증가하였고, 심박동율은 감소하였다. 결론적으로 고농도 산소 공급이 혈중 산소 포화도를 증가시켜 인지 처리에 따른 뇌 활성화를 촉진시킬 수 있고 이로 인해 연산 수행 능력이 증가되었다는 사실을 도출 할 수 있다. 특히 난이도가 증가할수록, 즉 인지 처리의 요구가 커질수록 고농도 산소의 효과가 더 명확히 나타난다는 사실을 도출할 수 있다.

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실시간 시스템에서 태스크 이용율을 이용한 스케줄링 가능성 검사 (Schedulability Test using task utilization in Real-Time system)

  • 임경현;서재현;박경우
    • 인터넷정보학회논문지
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    • 제6권2호
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    • pp.25-35
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    • 2005
  • 실시간 스케줄링 알고리즘에서는 비율단조(RM) 스케줄링 알고리즘과 마감시한(EDF) 스케줄링 알고리즘이 가장 일반적으로 사용되고 있다. 이러한 알고리즘에서는 태스크 집합의 전체 이용율 값을 가지고 수행 가능성을 판별하였다. 그러나 임의의 태스크에서 이용율 값이 초과되면 개별 태스크의 한계성을 전혀 예측할 수 없는 문제점이 있었다. 본 논문에서 제안한 알고리즘은 이용율 값이 초과한 태스크를 예측하고, 개별 태스크의 이용율 값을 기반으로 스케줄링 가능성 여부를 판단하는 방법을 제시하였다. 또한, 실시간 시스템에서 스케줄링 가능성 검사의 한계성을 시뮬레이션을 통해 예측하고 결과를 분석하였다.

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정리정돈을 위한 Q-learning 기반의 작업계획기 (Tidy-up Task Planner based on Q-learning)

  • 양민규;안국현;송재복
    • 로봇학회논문지
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    • 제16권1호
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    • pp.56-63
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    • 2021
  • As the use of robots in service area increases, research has been conducted to replace human tasks in daily life with robots. Among them, this study focuses on the tidy-up task on a desk using a robot arm. The order in which tidy-up motions are carried out has a great impact on the success rate of the task. Therefore, in this study, a neural network-based method for determining the priority of the tidy-up motions from the input image is proposed. Reinforcement learning, which shows good performance in the sequential decision-making process, is used to train such a task planner. The training process is conducted in a virtual tidy-up environment that is configured the same as the actual tidy-up environment. To transfer the learning results in the virtual environment to the actual environment, the input image is preprocessed into a segmented image. In addition, the use of a neural network that excludes unnecessary tidy-up motions from the priority during the tidy-up operation increases the success rate of the task planner. Experiments were conducted in the real world to verify the proposed task planning method.