• Title/Summary/Keyword: fitness assessment

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Physical Therapy Approaches for Respiratory Diseases (호흡계 질환의 물리치료적 접근방법)

  • Kim, Ki-Song
    • Journal of Korean Physical Therapy Science
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    • v.16 no.3
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    • pp.67-74
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    • 2009
  • Background: Various functional factors should be incorporated during assessment and intervention for patient rehabilitation. Stable respiratory function is one of required factors for functional restoration. To maximize respiratory physical therapy intervention outcome, it is required to understand clinical features of respiratory diseases and physical therapy approaches. Methods: Previous studies were systematically reviewed through computerized search. Methodological qualities of selected studies were evaluated and the levels of recommendations were determined. Results: Assessment for respiratory pattern and thoracic mobility is of importance to improve cardiopulmonary fitness during physical reconditioning. Application of optimal therapeutic protocol can increase thoracic mobility and respiratory function. Interdisciplinary communication is critical during rehabilitation for respiratory patients. Health care provider should have professional knowledge and experience for cardiopulmonary fitness and obligation to endeavor for patients' respiratory rehabilitation. It is necessary to standardize therapeutic intervention, and rehabilitative respiratory exercise should be applied to confirm the effects of intervention. Conclusion: Respiratory diseases that may reduce patients' quality of life and cardiopulmonary fitness should be resolved through physical therapy approaches. Through conducting research, effect of evidence-based and patients' function-oriented intervention can be determined.

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Prognostics for Industry 4.0 and Its Application to Fitness-for-Service Assessment of Corroded Gas Pipelines (인더스트리 4.0을 위한 고장예지 기술과 가스배관의 사용적합성 평가)

  • Kim, Seong-Jun;Choe, Byung Hak;Kim, Woosik
    • Journal of Korean Society for Quality Management
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    • v.45 no.4
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    • pp.649-664
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    • 2017
  • Purpose: This paper introduces the technology of prognostics for Industry 4.0 and presents its application procedure for fitness-for-service assessment of natural gas pipelines according to ISO 13374 framework. Methods: Combining data-driven approach with pipe failure models, we present a hybrid scheme for the gas pipeline prognostics. The probability of pipe failure is obtained by using the PCORRC burst pressure model and First Order Second Moment (FOSM) method. A fuzzy inference system is also employed to accommodate uncertainty due to corrosion growth and defect occurrence. Results: With a modified field dataset, the probability of failure on the pipeline is calculated. Then, its residual useful life (RUL) is predicted according to ISO 16708 standard. As a result, the fitness-for-service of the test pipeline is well-confirmed. Conclusion: The framework described in ISO 13374 is applicable to the RUL prediction and the fitness-for-service assessment for gas pipelines. Therefore, the technology of prognostics is helpful for safe and efficient management of gas pipelines in Industry 4.0.

On Logistic Regression Analysis Using Propensity Score Matching (성향점수매칭 방법을 사용한 로지스틱 회귀분석에 관한 연구)

  • Kim, So Youn;Baek, Jong Il
    • Journal of Applied Reliability
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    • v.16 no.4
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    • pp.323-330
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    • 2016
  • Purpose: Recently, propensity score matching method is used in a large number of research paper, nonetheless, there is no research using fitness test of before and after propensity score matching. Therefore, comparing fitness of before and after propensity score matching by logistic regression analysis using data from 'online survey of adolescent health' is the main significance of this research. Method: Data that has similar propensity in two groups is extracted by using propensity score matching then implement logistic regression analysis on before and after matching separately. Results: To test fitness of logistic regression analysis model, we use Model summary, -2Log Likelihood and Hosmer-Lomeshow methods. As a result, it is confirmed that the data after matching is more suitable for logistic regression analysis than data before matching. Conclusion: Therefore, better result which has appropriate fitness will be shown by using propensity score matching shows better result which has better fitness.

Development of Residual Stress Analysis Procedure for Fitness-For-Service Assessment of Welded Structure (용접 구조물의 사용중 적합성 평가를 위한 잔류응력 해석절차 개발)

  • Kim, Jong-Sung;Jin, Tae-Eun;P. Dong;M. Prager
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.27 no.5
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    • pp.713-723
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    • 2003
  • In this study, a state of art review of existing residual stress analysis techniques and representative solutions is presented in order to develope the residual stress analysis procedure for fitness-for-service (FFS) assessment of welded structure. Critical issues associated with existing residual stress solutions and their treatments in performing FFS are discussed. It should be recognized that detailed residual stress evolution is an extremely complicated phenomenon that typically involves material-specific ther-momechanical/metallurgical response, welding process physics, and structural interactions within a component being welded. As a result, computational procedures can vary significantly from highly complicated numerical techniques intended only to elucidate a small part of the process physics to cost-effective procedures that are deemed adequate for capturing some of the important features in a final residual stress distribution. Residual stress analysis procedure for FFS purposes belongs to the latter category. With this in mind, both residual stress analysis techniques and their adequacy for FFS are assessed based on both literature data and analyses performed in this investigation.

Assessment of Basic Physical Activity According to Sex and Age Groups in Elderly Groups in an Urban Community (도시 노인의 성별 및 연령별 기초신체활동 측정 평가)

  • Kim, So-Min;Kim, Dae-Kyung
    • PNF and Movement
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    • v.16 no.2
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    • pp.239-248
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    • 2018
  • Purpose: This study aimed to examine the elderly physical fitness test for elderly people living in urban areas and to evaluate the physical fitness level according to gender and age groups. Methods: The subjects were 180 elderly people aged 65 and over living in urban areas. The elderly people were classified into early old age, middle old age, and advanced old age groups. Five items of the physical fitness test for the elderly (arm curl, chair stand, 2 min step test, back scratch, and chair sit and reach). Results: In analyzing the average of each item by gender and age, a significant difference was found in the results of each item as age increased in all sports, but no difference was observed according to gender except dumbbell lifting. Conclusion: Although the physical fitness level of all ages decreased from early age to late age, the difference in physical fitness according to gender was not significant except the arm curl test. The results of this study can be used as basic data for a new "age-specific exercise program" for the elderly.

A Demand Survey on Major Fitness of Curriculum of Fire Risk Prediction and Assessment (화재위험성 예측평가분야 교육과정의 전공 적합도에 대한 수요조사)

  • Lee, Se-Myeoung
    • Fire Science and Engineering
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    • v.30 no.6
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    • pp.130-136
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    • 2016
  • A university needs to analyze and improve its curricula with the perspective of the consumer to develop a syllabus for the training of industry-demand customized human resources. Accordingly, this paper surveyed the demand of fire-related industry workers to evaluate the major fitness of the curriculum of fire risk prediction and assessment and carried out descriptive statistical analysis, factor analysis, cluster analysis, and one-way ANOVA based on the results. According to the analysis, fire-related industry workers reported that the curriculum of fire risk prediction and assessment is suitable for majors. In addition, they were greatly aware of the necessity of basic major and common major subjects among subjects of fire risk prediction and assessment. The results of this analysis will provide the basic data to improve the curriculum continuously in the future.

Integrated Fitness-for-service Program for Natural Gas Transmission Pipeline (천연가스 공급배관의 사용적합성 통합프로그램)

  • Kim, Woo-Sik;Kim, Young-Pyo;Kim, Cheol-Man;Baek, Jong-Hyun
    • Proceedings of the KSME Conference
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    • 2008.11a
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    • pp.269-274
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    • 2008
  • For fitness-for-service analyses of underground natural gas pipelines, engineering assessment methods against possible defects need to be developed. The assessment methods for high pressure pipeline of KOGAS, was developed using the full size pipe burst tests and the finite element analysis. It included the defect assessment methods for a single and multi-corrosion, corrosion in girth welding part, corrosion in seam welding part, the mechanical damage defects as dent and gouge, crack and large plastic deformation of API 5L X65 pipe. In addition, we developed method to assess pipeline integrity by internal and external load to buried pipeline. Evaluation results were compared with other methods currently being applied to the gas pipeline. The program of Windows environment is made for easily using assessment methods. It provides a consistent user interface, so non-professional technician can easily and friendly use the FFS program from company intranet. Several evaluation programs is easily installed using one installer. Each program constitutes a common input interface and the output configuration program, and evaluation result store and can be recalled at any time. The FFS program based on independent evaluation method is used to evaluate the integrity and safety of KOGAS pipeline, and greatly contribute to safe and efficient operation of pipeline. This paper presents experimental, analytical and numerical investigations to develop the FFS methods for KOGAS pipeline, used as high pressure natural gas transmission pipeline within KOREA. Also, it includes the description of the integrated program for FFS methods.

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Derivation of an effective military fitness model RSC clustering analysis method through review of e-commerce customers clustering analysis methods (전자상거래 고객의 클러스터링 분석방법 고찰을 통한 효과적인 군인체력 모형 RSC 클러스터링 분석방법 도출)

  • Junho, Lee;Byung-in, Roh;Dong-kyoo, Shin
    • Journal of Internet Computing and Services
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    • v.24 no.6
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    • pp.145-153
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    • 2023
  • This study emphasizes the essential need in the military for effective measurement and monitoring of soldiers' physical fitness, health, and exercise capabilities to enhance both their overall fitness and combat effectiveness. The effective assessment of physical fitness is considered a core element of management, aligning with principles of modern management. Particularly, preparing soldiers with robust physical fitness is deemed crucial for adapting to dynamic changes on the battlefield. In this research, the RFM (Recency, Frequency, Monetary) customer analysis and clustering methods, validated in e-commerce, are introduced as a basis for applying an AI-driven customer analysis approach to assess military personnel fitness. To achieve this, the study explores the incorporation of the RSC (Reveal, Sustainable, Control) analysis model. This model aims to effectively categorize and monitor military personnel fitness. The application of the RFM technique in the RSC analysis model quantifies and models military fitness, fostering continuous improvement and seeking strategies to enhance the effectiveness of fitness management. Through these methods, the study develops an AI customer analysis technique applied to the RSC clustering analysis method for improving and sustaining military personnel fitness.

Development of Fitness for Service Evaluation Programs (기간설비 사용적합성 평가 프로그램 개발)

  • Park, Young-Jae;Yun, Kang-Ok;Chang, Yoon-Suk;Kim, Young-Jin;Cho, Kyung-Shik
    • Proceedings of the KSME Conference
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    • 2004.11a
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    • pp.160-165
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    • 2004
  • An effective integrity evaluation system is essential to manage the fitness for service issues on infra-structure because the evaluation processes usually take long times and are detrimental for productivity point of view. In this paper, the key structures and procedures of four integrity evaluation programs which have been developed based on currently available codes and standards are described. The proposed programs are not only flexible to adopt advances in fitness for purpose type assessment methodologies but also convenient for field engineers. The developed programs which will be unified as an integrity evaluation system are expected to play a prominent role for integrity evaluation of major infra-structure.

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Performance Improvement of Ensemble Speciated Neural Networks using Kullback-Leibler Entropy (Kullback-Leibler 엔트로피를 이용한 종분화 신경망 결합의 성능향상)

  • Kim, Kyung-Joong;Cho, Sung-Bae
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.51 no.4
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    • pp.152-159
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    • 2002
  • Fitness sharing that shares fitness if calculated distance between individuals is smaller than sharing radius is one of the representative speciation methods and can complement evolutionary algorithm which converges one solution. Recently, there are many researches on designing neural network architecture using evolutionary algorithm but most of them use only the fittest solution in the last generation. In this paper, we elaborate generating diverse neural networks using fitness sharing and combing them to compute outputs then, propose calculating distance between individuals using modified Kullback-Leibler entropy for improvement of fitness sharing performance. In the experiment of Australian credit card assessment, breast cancer, and diabetes in UCI database, proposed method performs better than not only simple average output or Pearson Correlation but also previous published methods.