• Title/Summary/Keyword: Performance Function

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Normative Data of the Yonsei Dual Task Cognitive Screening Test (Y-DuCog) for Korean Older Adults and Characteristics of Cognitive Function (국내 고령자의 Y-DuCog 표준치, 인지기능에 관한 연구)

  • Kwak, Hosoung
    • Journal of The Korean Society of Integrative Medicine
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    • v.8 no.4
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    • pp.59-66
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    • 2020
  • Purpose : This study aimed to present normative data for older Korean adults completing the Yonsei dual task cognitive screening test (Y-DuCog) and identify changes in cognitive function on the Montreal Cognitive Assessment - Korean (MoCA-K) with age. Methods : From May 2019 to August 2019, 195 healthy adults aged ≥60 years participated in this study. All participants completed the Y-DuCog to assess their dual-task performance and the MoCA-K to assess their cognitive function. Participants were divided into three groups based on their age: 60~69 years, 70~79 years, and ≥80 years. Results : The results of the Y-DuCog showed that dual-task performance time, effect, and correct response rate decreased significantly with age (p<.001). Scores from the three groups showed differences on all items (p<.001). Cognitive function on the MoCA-K also decreased significantly with age (mean score ± standard deviation [SD]; 27.33 ± 2.61 in subjects aged 60~69 years; 24.82 ± 3.20 in subjects aged 70~79 years; and 22.10 ± 4.91 in subjects aged ≥80 years; p<.001). Conclusions : Occupational therapists should be aware of the decline in cognitive function and dual-task performance time, effect, and correct response rate in older adults and consider interventions to treat this decline. Further studies are needed with larger groups of participants to examine factors, such as sex and education, that may impact dual-task performance and cognitive function.

Prediction of Probabilistic Distribution of a Loudspeaker's Performance Due to Manufacturing Tolerances by Performance Moment Integration Method (성능 모멘트 적분법을 이용한 제작공차에 의해 발생하는 스피커 성능함수의 확률분포 특성 예측)

  • Kang, Byung-su;Back, Jong Hyun;Kim, Dong-Hun
    • Journal of the Korean Magnetics Society
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    • v.26 no.3
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    • pp.81-85
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    • 2016
  • This paper introduces a performance integration method to predict variation characteristic of a performance function of electromagnetic machines or devices due to manufacturing tolerances. A normalized performance function space and a hybrid mean value technique are adapted to effectively predict mean and variance, which can identify probabilistic distribution of the performance function. To verify the effectiveness and accuracy of the proposed method, a mathematical problem and a loudspeaker model are tested, and numerical results are compared with those of existing methods such as Monte Carlo simulation and univariate dimension reduction method.

Improvement of learning method in pattern classification (패턴분류에서 학습방법 개선)

  • Kim, Myung-Chan;Choi, Chong-Ho
    • Journal of Institute of Control, Robotics and Systems
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    • v.3 no.6
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    • pp.594-601
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    • 1997
  • A new algorithm is proposed for training the multilayer perceptrion(MLP) in pattern classification problems to accelerate the learning speed. It is shown that the sigmoid activation function of the output node can have deterimental effect on the performance of learning. To overcome this detrimental effect and to use the information fully in supervised learning, an objective function for binary modes is proposed. This objective function is composed with two new output activation functions which are selectively used depending on desired values of training patterns. The effect of the objective function is analyzed and a training algorithm is proposed based on this. Its performance is tested in several examples. Simulation results show that the performance of the proposed method is better than that of the conventional error back propagation (EBP) method.

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Sparse kernel classication using IRWLS procedure

  • Kim, Dae-Hak
    • Journal of the Korean Data and Information Science Society
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    • v.20 no.4
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    • pp.749-755
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    • 2009
  • Support vector classification (SVC) provides more complete description of the lin-ear and nonlinear relationships between input vectors and classifiers. In this paper. we propose the sparse kernel classifier to solve the optimization problem of classification with a modified hinge loss function and absolute loss function, which provides the efficient computation and the sparsity. We also introduce the generalized cross validation function to select the hyper-parameters which affects the classification performance of the proposed method. Experimental results are then presented which illustrate the performance of the proposed procedure for classification.

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The Effects of Trunk Muscle Strengthening Exercises on Balance Performance of Sitting Posture and Upper Extremity Function of Children with Spastic Diplegic Cerebral Palsy (체간 근력 강화 운동이 경직성 양하지 뇌성마비 아동의 앉은 자세 균형 수행력과 상지 기능에 미치는 영향)

  • Choi, Young-Chul;Park, Soo-Jin;Lee, Myoung-Hyo;Kim, Jin-Sang
    • Journal of the Korean Society of Physical Medicine
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    • v.8 no.1
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    • pp.117-125
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    • 2013
  • PURPOSE: The purpose of this study was to investigate the effect of trunk muscle strengthening exercises on balance performance of sitting posture and upper extremity function, targeting the children with spastic diplegic cerebral palsy. METHODS: 20 children with spastic diplegic cerebral palsy were sampled at random and the tests were conducted for 6 weeks, 3 times per week. For experimental groups, basic physical therapy and trunk muscle strengthening exercises were conducted and for control groups, only basic physical therapy was conducted. BPM(Balance Performance Monitor) was used to measure balance performance and QUEST(quality of upper extremity skills test) was used to measure the upper extremity function. RESULTS: The comparison of changes in sitting balance performance in between experimental groups and control groups show significant difference (p<.05), the changes of the upper extremity function in experimental groups and control groups show significant difference (p<.05). CONCLUSION: Trunk muscle strengthening exercises are effective in improving balance performance and the upper extremity function for the children with spastic diplegic cerebral palsy.

A Study on the Effect of Oral Sense Play Treatment Program on the Social Enhancement in Dysphagic Children with Cerebral Palsy (섭식장애가 있는 뇌성마비아동의 사회성 증진을 위한 구강 감각 놀이 치료프로그램의 효과연구)

  • Oh, Hyewon;Kim, Koun
    • Journal of The Korean Society of Integrative Medicine
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    • v.8 no.4
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    • pp.265-275
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    • 2020
  • Purpose : In this study, we would like to apply oral sensory play therapy program to children with cerebral palsy who have sensitive oral senses to find out the effect on oral sensory ability, oral function, performance ability and sociality. Methods : The subjects of this study were 20 children diagnosed with cerebral palsy, and 10 experimental groups and 10 control groups. Oral sensory play therapy programs, including oral sensory programs, were conducted in the experimental group, while only oral sensory programs were conducted in the control group. Oral Sensory Treatment Level was used to identify the sensory profile and the overall oral function of the oral function was used, and the performance and satisfaction of Canadian occupational performance measure (COPM) were examined to find out the performance of the work, and social skills were examined for social skills (SMS). Results : The level of oral sensory treatment, overall oral function, work performance and sociality all increased significantly in the experimental group, but the oral sense and oral function in the control group were significantly increased, but not significantly in the case of work performance and sociality. Conclusion : Through this study, we confirmed that oral sensory play therapy program is an effective arbitration method for oral sensation, oral function, work performance and social enhancement of children with cerebral palsy. Based on the results of this study, the study of arbitration protocols for children with cerebral palsy with oral sensory problems will have to be more active.

Study of Performance Criteria Methodology for Maintenance Effectiveness Monitoring Program for Nuclear Power Plants (원전 정비효과성감시 프로그램의 성능기준설정 방법론 개선)

  • Song, Tae-Young;Yeom, Dong-Un;Hyun, Jin-Woo
    • Transactions of the Korean Society of Pressure Vessels and Piping
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    • v.8 no.2
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    • pp.26-32
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    • 2012
  • The systems of the nuclear power plant are designed based on the User Requirement Document, and Korea Hydro & Nuclear Power Co. (KHNP) implements preventive maintenance activities to keep the specific design function of the system consistently. To monitor the preventive maintenance effectiveness, KHNP has also developed maintenance effectiveness monitoring (MR) program based on NUMARC 93-01 since 2003, and has implemented the program in all operating plants. Recently, KHNP has upgraded MR programs by reflecting implementing experiences ; reestablishing the performance monitoring level, improving analysis for standby function and performance criteria for passive components, reestablishing the availability performance criteria and the performance criteria for the same type of components. These upgraded MR programs will contribute to enhance safety and improve equipment reliability through monitoring maintenance effectiveness.

A Study of Fuzzy Inference System Based Task Prioritizations for the Improvement of Tracking Performance in Multi-Function Radar (다기능 레이더의 추적 성능 개선을 위한 퍼지 추론 시스템 기반 임무 우선 순위 선정 기법 연구)

  • Kim, Hyun-Ju;Park, Jun-Young;Kim, Dong-Hwan;Kim, Seon-Joo
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.24 no.2
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    • pp.198-206
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    • 2013
  • This paper presents the improvement of tracking performance using fuzzy inference system based task prioritizations for multi-function radars. The presented technique calculates elemental priorities using track information of a target and obtain the total priority from fuzzy inference system of each fuzzy set's membership function. In this paper, we proposed the task prioritization algorithms based on fuzzy inference system, and evaluated the tracking performance on multi-function radar scenario using it. As a result, we confirmed that excellent performance could be achieved when using the proposed algorithm.

A Study on System Requirement Structure of Urban Transit System (도시철도시스템의 요구사항체계 구축에 관한 연구)

  • Lee Woo-Dong
    • Proceedings of the KSR Conference
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    • 2004.10a
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    • pp.157-161
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    • 2004
  • Urban transit is system that offer target Performance and function because various lower part system such as vehicles, signaling, power supply, rail track is consisted as complex. It is important first of all that describe correctly system requirement until configuration of system, design, manufacture, installation and test verification so that the complicated urban transit system is to act safety and reliable and to display target Performance and function properly. The system requirement assist the system developer to comprehensive the performance and function of system in basic design. Therefore, In this paper wishes to study way to analyze system of system requirement and apply to Urban transit.

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4차 고다드 알고리즘의 몇 가지 수렴 성질: 2. 평균성능함수의 기하

  • 최진호;배진수;송익호;박래홍;이민수
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.21 no.9
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    • pp.2355-2361
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    • 1996
  • Convergence analysis on Godard's quartic(GQ) algorithm used for blind equalization is accomplished in this paper. First, we explain the local behavior of the GQ algoithm around the global minimum point of the average performance function. Then we consider the geometry of the average performance function. The main result is that a good initial parameter vector of the GQ algorithm can be chosen based on the information of the geometry of the average performance function.

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