• Title/Summary/Keyword: Fitness Function

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The Effect of Inline Skate Program on Physical Fitness(PAPS-D) Improvement of Student with Developmental Disability (인라인스케이트 프로그램이 발달장애 학생들의 건강체력(PAPS-D) 향상에 미치는 효과)

  • Chol, Jae-Yong;Kim, Ji-Sun
    • Journal of the Korean Applied Science and Technology
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    • v.36 no.2
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    • pp.541-550
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    • 2019
  • This study is aimed to find out the effect of PAPS-D on physical fitness of developmental disabled students who participated of Inline skate program. The subject of this study was 10 middle and high school students diagnosed as developmental disability. The subject attended a total of 32 classes twice a week for 16 weeks and the class was 1 hour each time. Improvement of physical fitness was assessed based on PAPS-D program developed by the Department of Education science in 2016 except for obesity measurement; cardio pulmonary function (walking in 6 minutes), flexibility (seated forward bend, clasped hand behind the back), muscle function (sit-up) and agility (standing long jump). To find out the interaction between control group and experimental group, two-way repeated measure ANOVA was used. As a result, there was a statistically significant relation in cardio pulmonary function and agility but not in flexibility and muscle function. 3 variables (cardio pulmonary function, flexibility and muscle function) among 4 variables showed positive effect of Inline skate program on physical fitness while one variable which was agility showed decreased result in post-test. Based on the results of three variables that were found to have improved in the pre post-examination, the result of this study indicates positive effect of Inline skating program on physical fitness of developmentally disabled students.

A study on the optimal sizing and topology design for Truss/Beam structures using a genetic algorithm (유전자 알고리듬을 이용한 트러스/보 구조물의 기하학적 치수 및 토폴로지 최적설계에 관한 연구)

  • 박종권;성활경
    • Journal of the Korean Society for Precision Engineering
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    • v.14 no.3
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    • pp.89-97
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    • 1997
  • A genetic algorithm (GA) is a stochastic direct search strategy that mimics the process of genetic evolution. The GA applied herein works on a population of structural designs at any one time, and uses a structured information exchange based on the principles of natural selection and wurvival of the fittest to recombine the most desirable features of the designs over a sequence of generations until the process converges to a "maximum fitness" design. Principles of genetics are adapted into a search procedure for structural optimization. The methods consist of three genetics operations mainly named selection, cross- over and mutation. In this study, a method of finding the optimum topology of truss/beam structure is pro- posed by using the GA. In order to use GA in the optimum topology problem, chromosomes to FEM elements are assigned, and a penalty function is used to include constraints into fitness function. The results show that the GA has the potential to be an effective tool for the optimal design of structures accounting for sizing, geometrical and topological variables.variables.

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A Study on the Proper Equipments and Optimal Dimension for a Fitness Facility in an Apartment Complex According to the Number of Users - Focused on the four Apartments located in Cheonan - (아파트 단지 내 휘트니스 시설의 이용자수에 따른 적정 시설과 공간규모에 관한 연구 - 천안시 4개 아파트 단지를 대상으로 -)

  • Park, Young-Sun;Ryu, Soo-Hoon
    • Journal of the Korean housing association
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    • v.19 no.6
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    • pp.1-8
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    • 2008
  • A fitness facility in an apartment complex is not a simple sports facility. It has important roles in improving the residents' physical and mental health, and in forming a sense of community. This study analyzed the number of users in the fitness facility of the apartment complex, which is a significant criterion in determining the dimension. A comparative analysis between the past and the present function and dimension was performed in finding out the optimal solutions. In conclusion, the number of users in the fitness facility is influenced not by the number of households in the complex but by the facility's size and creating a desired environment. The users' favorite sports equipments were figured out to meet those needs. Moreover, comparing the facilities' size, user satisfaction, area per person, an optimal dimension for the facility, and rates of equipments were found out.

A Transmission Parameter Optimization Scheme Based on Genetic Algorithm for Dynamic Spectrum Access (동적 스펙트럼 접근을 위한 유전자 알고리즘 기반 전송 매개변수 최적화 기법)

  • Chae, Keunhong;Yoon, Seokho
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.38A no.11
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    • pp.938-943
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    • 2013
  • In this paper, we propose a transmission parameter optimization scheme based on genetic algorithm for dynamic spectrum access systems. Specifically, we represent a multiple objective fitness function as a weighted sum of single objective fitness functions to optimize transmission parameters, and then, obtain optimized transmission parameters based on genetic algorithm for given transmission scenarios. From numerical results, we confirm that the transmission parameters are well optimized by using the proposed optimization scheme.

Clustering Parts Based on the Design and Manufacturing Similarities Using a Genetic Algorithm

  • Lee, Sung-Youl
    • Journal of Korea Society of Industrial Information Systems
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    • v.16 no.4
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    • pp.119-125
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    • 2011
  • The part family (PF) formation in a cellular manufacturing has been a key issue for the successful implementation of Group Technology (GT). Basically, a part has two different attributes; i.e., design and manufacturing. The respective similarity in both attributes is often conflicting each other. However, the two attributes should be taken into account appropriately in order for the PF to maximize the benefits of the GT implementation. This paper proposes a clustering algorithm which considers the two attributes simultaneously based on pareto optimal theory. The similarity in each attribute can be represented as two individual objective functions. Then, the resulting two objective functions are properly combined into a pareto fitness function which assigns a single fitness value to each solution based on the two objective functions. A GA is used to find the pareto optimal set of solutions based on the fitness function. A set of hypothetical parts are grouped using the proposed system. The results show that the proposed system is very promising in clustering with multiple objectives.

A study on the fitness of the margin to recast with a Ni-Cr alloy for full cast crown (전부주조관용 Ni-Cr 합금 재주조에 따른 변연의 적합도에 대한 연구)

  • Moon, Hee-Kyung
    • Journal of Technologic Dentistry
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    • v.31 no.1
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    • pp.17-21
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    • 2009
  • This experimental study was to determine the fitness on each cervical margin of recast using crown base metal alloy. The alloy used in this experimental study was a Ni-Cr alloy(Wirolloy, Bego, Germany) for the fabrication of full cast crown prosthesis. Twenty-five copings were divided into the five groups. And the group A, B, C, D and E were cording successively according to the frequency of recast to five times. Each specimen was recasted without adding new metal. The experimental results were as follows: 1. The group A and B showed good fitness had subtle differences in each cervical margin adaptation, in other words, the mesio and disto cervical margin showed worse adaptation than the bucco and linguo cervical margin. 2. The group C got good fitness in bucco and linguo cervical margins, but the mesio and disto cervical margin showed inaccurate fitness. And I could not get good casting bodies without adding new metal. 3. The group D and E showed bad fitness for each cervical margin. Therefore the group D and E lost its function as a dental restoration.

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Optimal Sensor Placement for Structural Parameter Estimation Using Genetic Algorithm (유전자 알고리즘을 이용한 구조계수추정 목적의 최적 계측점 선정)

  • Bahng, Eun-Young
    • Journal of the Korean Society of Hazard Mitigation
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    • v.10 no.4
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    • pp.9-16
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    • 2010
  • In the health monitoring of civil engineering structures, the optimal sensor placement has a major influence on the quality of the results. This paper considers the problem of locating sensors with the aim of maximizing the data information so that structural parameters or damage of structures can be assessed. An proposed technique using a genetic algorithm is introduced to find the optimal placement of sensors. The sensitivity on modal vectors by structural parameters and the orthogonality of modal vectors have been taken as the fitness function of the genetic algorithm. A simple tower structure is used for example analyses to investigate the feasibility and applicability of the proposed approach. The example analyses show the way how the modal sensitivity and the modal orthogonality in the fitness function have influence on the optimal sensor placement. It is shown that the present method using the proposed fitness function can provide the reliable results.

Changes of Biophysical and Physical Fitness Function on Combined Exercise Program in 20' Female University Students with Obesity according to Heights of Insole (인솔 높이에 따른 복합운동프로그램 적용 시 20대 비만 여대생의 신체생리 및 체력적 기능 변화)

  • Shin, Chul-Wha;Kim, Chan-Kyu;Jang, Il-Yong;Lee, Eun-snag;Jung, Dae-In
    • The Journal of the Korea Contents Association
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    • v.15 no.10
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    • pp.336-345
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    • 2015
  • This study conducted the following experiment to examine change of biophysical and physical fitness function on combined exercise program in 20' female university students with obesity according to heights of insole. Obesity related biophysical function was measured by basal metabolism and percent body fat(% Fat) and health related physical fitness was measured by isokinetic strength of quadriceps femoris muscle, muscular endurance, flexibility and power on comparative analysis of pre, post exercise and each groups(0cm, 5cm, 9cm) in 36 female university students with obesity subject according to heights of insole. These result lead us to the conclusion that each group were statistically improved at isokinetic muscular strength of quadriceps femoris muscle and basal metabolism, but 5cm group compared with 0cm and 9cm group was more significant improvement. Consequently, combination exercise applying appropriate heights of insole would be lead to positive increment of muscular strength and basal metabolism.

Effects of 8 Week Boxing Combined Training on Health Related Physical Fitness and Cardiopulmonary Function in Male College Students (8주간 복싱 복합트레이닝이 남자 대학생의 심폐기능과 건강관련체력에 미치는 영향)

  • Lee, SeokJoo;Sim, YoungJe
    • Archives of Orthopedic and Sports Physical Therapy
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    • v.14 no.2
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    • pp.81-90
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    • 2018
  • Purpose: The purpose of this study was to investigate the effect of boxing combined training on cardiopulmonary function and health-related fitness in male college students over a period of eight weeks. Methods: Eighteen male students were randomly assigned to the following groups: boxing exercise (n=6), aerobic exercise e(n=6), and non-exercise (n=6). The exercise program was conducted for 50 minutes every three weeks, for a total of eight weeks. After eight weeks, the factors that affected the measurement variables were analyzed, and the following results were obtained. Results: Participants in the eight-week boxing exercise group and the aerobic exercise group showed significantly increased maximal oxygen, which was not observed in the control group. The body mass index decreased in the aerobic exercise group, but did not significantly differ between the boxing exercise and control groups. Body fat (%) and abdominal fat (%) significantly decreased in all exercise groups, but significantly increased in the control group. Skeletal muscle mass increased in the boxing exercise group, but did not significantly differ between the boxing, aerobic exercise, and control groups. Muscular strength and muscular endurance increased in both exercise group, but did not change in the control group. Flexibility showed no differences between the groups. Conclusions: In conclusion, an eight-week boxing exercise program for college students showed positive effects on cardiorespiratory function and health-related fitness.

Proportional-Integral-Derivative Evaluation for Enhancing Performance of Genetic Algorithms (유전자 알고리즘의 성능향상을 위한 비례-적분-미분 평가방법)

  • Jung, Sung-Hoon
    • Journal of the Korean Institute of Intelligent Systems
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    • v.13 no.4
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    • pp.439-447
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    • 2003
  • This paper proposes a proportional-integral-derivative (PID) evaluation method for enhancing performance of genetic algorithms. In PID evaluation, the fitness of individuals is evaluated by not only the fitness derived from an evaluation function, but also the parents fitness of each individual and the minimum and maximum fitness from initial generation to previous generation. This evaluation decreases the probability that the genetic algorithms fall into a premature convergence phenomenon and results in enhancing the performance of genetic algorithms. We experimented our evaluation method with typical numerical function optimization problems. It was found from extensive experiments that out evaluation method can increase the performance of genetic algorithms greatly. This evaluation method can be easily applied to the other types of genetic algorithms for improving their performance.