• Journal of the Korean Society of Physical Medicine
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• v.19 no.1
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• pp.119-129
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• 2024

PURPOSE: The purpose of this study was to examine the effectiveness of a low-intensity combined exercise program on daily physical fitness parameters such as balance, flexibility, muscle strength, and fear of falling of elderly women in the community. METHODS: This study assigned 30 elderly women randomly into two groups: The control and experimental groups. The control group (n = 15) underwent routine gait. The experimental group (n = 15) underwent the low-intensity combined exercise. The exercise program in this study comprising combined exercise, including balance, flexibility, muscle strength training, and the exercise program using props was conducted twice a week for 8 weeks. RESULTS: The average age of the control and experimental groups was 77.27 years and 78.33 years, respectively. There were significant differences in static balance (t = -4.167, p < .001), dynamic balance (t = 2.463, p < .001), (t = -3.870, p < .001), (t = -2.262, p < .001), (t = -5.732, p < .001), (t = -6.573, p < .001), and fear of falling (t = -5.129, p < .001). CONCLUSION: The results show that low-intensity combined exercise is an effective intervention that improves physical health fear of falling in older women. The combined exercise program was found to be more effective in terms of physical function and fall-related psychological function compared to the control group that only walked.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2007.05a
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• pp.382-388
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• 2007

In this paper, a modified Fuzzy C-Means (MFCM) algorithm is presented for nonlinear blind channel equalization. The proposed MFCM searches the optimal channel output states of a nonlinear channel from the received symbols, based on the Bayesian likelihood fitness function instead of a conventional Euclidean distance measure. Next, the desired channel states of a nonlinear channel are constructed with the elements of estimated channel output states, and placed at the center of a Radial Basis Function (RBF) equalizer to reconstruct transmitted symbols. In the simulations, binary signals are generated at random with Gaussian noise. The performance of the proposed method is compared with that of a hybrid genetic algorithm (GA merged with simulated annealing (SA): GASA), and the relatively high accuracy and fast searching speed are achieved.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.11 no.11
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• pp.2158-2165
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• 2007

In this paper, a Modified Fuzzy C-Means algorithm with Gaussian Weights(MFCM_GW) is presented for nonlinear blind channel equalization. The proposed algorithm searches the optimal channel output states of a nonlinear channel from the received symbols, based on the Bayesian likelihood fitness function and Gaussian weighted partition matrix instead of a conventional Euclidean distance measure. Next, the desired channel states of a nonlinear channel are constructed with the elements of estimated channel output states, and placed at the center of a Radial Basis Function(RBF) equalizer to reconstruct transmitted symbols. In the simulations, binary signals are generated at random with Gaussian noise. The performance of the proposed method is compared with those of a simplex genetic algorithm(GA), a hybrid genetic algorithm(GA merged with simulated annealing(SA): GASA), and a previously developed version of MFCM. It is shown that a relatively high accuracy and fast search speed has been achieved.

• Journal of the Korean Applied Science and Technology
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• v.38 no.6
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• pp.1606-1615
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• 2021

The purpose of this study is to provide basic data for injury prevention and performance improvement by developing a flywheel training program for handball players. The results of analyzing the effects of the 12-week complex flywheel training program on body composition, physical fitness factors, anaerobic power, and isokinetic muscle function are as follows. There was a significant difference between groups in push-ups. Body fat percentage and anaerobic power showed significant differences in the interaction by period. Long jump, slow jump, grip strength, back muscle strength, anaerobic average power, and isokinetic muscle function tests showed significant differences by period in the left and right flexors. Therefore, it is considered that 12-week flywheel training results can be used as the basic data for injury prevention and improvement of performance in handball players.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1996.10a
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• pp.271-274
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• 1996

In this paper a new determination scheme of linear decision function is proposed. In this scheme, the weights in linear decision function is obtained by genetic algorithm. The result considering balance between clusters as well as classification error can be obtained by properly selecting the fitness function of genetic algorithm in determination of linear decision function and this has the merit in applying this scheme to the construction of binary decision tree. The proposed scheme is applied to the artificial two dimensional data and real multi dimensional data. Experimental results show the usefulness of the proposed scheme.

• Journal of Astronomy and Space Sciences
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• v.29 no.1
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• pp.11-21
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• 2012

In this paper, the authors introduced a new approach to find the optimal collision avoidance maneuver considering multi threatening objects within short period, while satisfying constraints on the fuel limit and the acceptable collision probability. A preliminary effort in applying a genetic algorithm (GA) to those kinds of problems has also been demonstrated through a simulation study with a simple case problem and various fitness functions. And then, GA is applied to the complex case problem including multi-threatening objects. Two distinct collision avoidance maneuvers are dealt with: the first is in-track direction of collision avoidance maneuver. The second considers radial, in-track, cross-track direction maneuver. The results show that the first case violates the collision probability threshold, while the second case does not violate the threshold with satisfaction of all conditions. Various factors for analyzing and planning the optimal collision avoidance maneuver are also presented.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2011.11a
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• pp.101-103
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• 2011

Various desired performances of concrete cannot be always obtained by current conventional mix proportion methods for recycled aggregate concrete (RAC). This paper suggests a new design method of mix proportion for RAC to reduce the number of trial mixes using genetic algorithm (GA) which has been an optimization technique to solve the multi-object problem. In mix design method by GA, several fitness functions for the required properties of concrete, i.e., slump, strength, price, and carbonation speed coefficient were considered based on conventional data or fitness function. As a result, various optimum mix proportions for RAC that meet required performances were obtained and the risk evaluation was also conducted for selected mixtures.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.2 no.4
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• pp.184-193
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• 2008

We examine the performance of genetic algorithms using binary encoding, with respect to a change of basis. Changing the basis can result in a change in the linkage structure inherent in the fitness function. We test three simple functions with differing linkage strengths and analyze the results. Based on an empirical analysis, we show that a better basis results in a smoother fitness landscape, hence genetic algorithms based on the new encoding method provide better performance.

• Journal of the Korean Society for Precision Engineering
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• v.15 no.1
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• pp.35-42
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• 1998

This paper presents the introduction of Pseudo-2 axes robot module and its GA-based fuzzy control implementation. Pseudo-2 axes robot module which use a single motor and controller for driving 2 joints of a robot mechanism, is devised towards a lower priced robot with its degree of freedom maintained GA-based Fuzzy controller is considered for the better control implementation of the developed system than the conventional PID controller. Here. the scaling factors of the membership function with high fitness values are selected using a genetic algorithm for a pulse-type input trajectory. The obtained controller also shows better trajectory tracking performance than a PID controller.

• Journal of the Korean Home Economics Association
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• v.25 no.4
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• pp.19-32
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• 1987

The purpose of this study was to provide basis data for the pattern and material development of the Taekondo uniform by investigating the Taekwondo uniform wearing status of 260 Taekwondo players. The results can be summarized as follows: 1. In the current material of Taekwondo uniform, the problem of physiological comfort was generally dissatisfied in all subjects. And this unsatisfactory trend was founded higher in female player. 2. In the problem of the body fitness of Taekwondo unifrom, the unifitness of upper and lower clothes was founded higher in female player. And both of male and female player represented unfitness more high in lower clothes. So the current size of Taekwondo uniform, especially the size of lower clothes had its problem. 3. The problem of the sports function, the body fitness and easiness of wearing of Taekwondo uniform was generally founded uncomfortable in all subjects. But especially female player, fat type player was founded higher in the phase of discomfort. And accoring to the method of gaining clothes, the case of the slop was founded the highest.