• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2011년도 춘계 학술논문 발표대회 1부
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• pp.171-172
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• 2011

Formwork accounts for a large proportion of the framework in high-rise construction projects in terms of the duration and cost. Especially, slab formwork has a significant influence on these factors. However, the current selection of formwork method in general contractors depends on the decisions of few experienced engineers, and layout planning of the formwork in specialty contractors requires lots of time by different floor types. As a preliminary study for developing an optimum layout model in slab formwork of high-rise building construction, this study proposes the process of the optimum layout model and determines a fitness function for use of the genetic algorithm aimed at table formwork.

• Journal of Electrical Engineering and information Science
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• 제2권5호
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• pp.51-59
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• 1997

This paper presets a methodology of improving a conventional model in power systems using Genetic Algorithms(GAs) and suggests a GAs-based model which can directly solve the real-valued optimum in an optimization procedure. In applying GAs to the power flow, a new fitness mapping method is proposed using the proposed using the probability distribution function for all the payoffs in the population pool. In this approach, both the notions on a way of the genetic representation, and a realization of the genetic operators are fully discussed to evaluate he GAs' effectiveness. The proposed method is applied to IEEE 5-bus, 14-bus and 25-bus systems and, the results of computational experiments suggest a direct applicability of GAs to more complicated power system problems even if they contain nonlinear algebraic equations.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2001년도 하계학술대회 논문집 D
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• pp.2405-2407
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• 2001

In this paper, we apply and evolutionary computation(EC), probabilistic optimization algorithm, to active contour. A number of problems exist associated with such as algorithm initialization, existence of local minima, non-convex search space, and the selection of model parameters in conventional models. We propose an adequate fitness function for these problems. The determination of fitness function adequate to active contour using EC is important in search capability. As a result of applying the proposed method to non-convex object shape, we improve the unstability and contraction phenomena, in nature, of snake generated in deformable contour optimization.

• Journal of information and communication convergence engineering
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• 제5권1호
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• pp.35-41
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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, based on the Bayesian likelihood fitness function instead of a conventional Euclidean distance measure. In its searching procedure, all of the possible desired channel states are constructed with the elements of estimated channel output states. The desired state with the maximum Bayesian fitness is selected 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 Positioning, Navigation, and Timing
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• 제11권2호
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• pp.99-107
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• 2022

Urban Air Mobility (UAM) such as a drone taxi is one of the future transportations that have recently been attracting attention. Along with the construction of an urban terminal, an accurate landing system for UAM is also essential. However, in urban environments, reliable Global Navigation Satellite Systems (GNSS) signals cannot be received due to obstacles such as high-rise buildings which causes multipath and non-line of sight signal. Thus, the positioning result in urban environments from the GNSS signal is unreliable. Consequently, we propose the Ultra-Wideband (UWB) network to assist the soft landing of UAM on a vertiport. Since the positioning performance of UWB network depends on the layout of UWB anchors, it is necessary to optimize the layout of UWB anchors. In this paper, we propose a two-steps genetic algorithm that consists of binary genetic algorithm involved multi objectives fitness function and integer genetic algorithm involved robust solution searching fitness function in order to optimize taking into account Fresnel hole effects.

• 한국물환경학회지
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• 제23권5호
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• pp.697-704
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• 2007

This study proposes an integrated technique of Genetic Algorishim (GA) and Geographic Information System (GIS) for designing the water quality monitoring networks. To develop solution scheme of the integrated system, fitness functions are defined by the linear combination of five criteria which stand for the operation objectives of water quality monitoring stations. The criteria include representativeness of a river system, compliance with water quality standards, supervision of water use, surveillance of pollution sources and examination of water quality changes. The fitness level is obtained through calculations of the fitness functions and input data from GIS. To find the most appropriate parameters for the problems, the sensitivity analysis is performed for four parameters such as number of generations, population sizes, probability of crossover, and probability of mutation. Using the parameters resulted from the sensitivity analysis, the developed system proposed 110 water quality monitoring stations in the Nakdong River. This study demonstrates that the integrated technique of GA and GIS can be utilized as a decision supporting tool in optimized design for a water quality monitoring network.

• International Journal of Advanced Culture Technology
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• 제8권3호
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• pp.334-341
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• 2020

Through a investigation of the physical activity status of 1794 undergraduates who were non-sports majors from freshman to senior in Jiangxi Normal University, to analyze physical fitness status of college students with different physical activity levels. The results showed that in physical activity, high-intensity physical activity of male was higher than female, while medium-intensity and low-intensity (insufficient) physical activity of female was higher than male. College students' high-intensity physical activity group's physical test scores were better than the medium-intensity physical activity group, and the medium-intensity physical activity group was superior to the low physical activity group. In terms of physical fitness, among the test indicators of body shape and physiological function, the vital capacity and body mass index of male and female were ranked at a pass level. In the physical fitness test indicators, the performance of college students' endurance qualities was better while the overall performance of strength qualities was lower. The overall fitness of college students was ranked at a pass level, and the physical test scores of female were better than male.

• Nuclear Engineering and Technology
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• 제49권6호
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• pp.1250-1258
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• 2017

The multigroup transport theory is the basis for many neutronics modules. A significant point of the cross-section (XS) generation procedure is the choice of the energy groups' boundaries in the XS libraries, which must be carefully selected as an unsuitable energy meshing can easily lead to inaccurate results. This decision can require considerable effort and is particularly difficult for the common user, especially if not well-versed in reactor physics. This work investigates a genetic algorithm-based tool which selects an appropriate XS energy structure (ES) specific for the considered problem, to be used for the condensation of a fine multigroup library. The procedure is accelerated by results storage and fitness calculation speedup and can be easily parallelized. The extension is applied to the coupled code SIMMER and tested on the European Sustainable Nuclear Industrial Initiative (ESNII+) Advanced Sodium Technological Reactor for Industrial Demonstration (ASTRID)-like reactor system with different fitness functions. The results show that, when the libraries are condensed based on the ESs suggested by the algorithm, the code actually returns the correct multiplication factor, in both reference and voided conditions. The computational effort reduction obtained by using the condensed library rather than the fine one is assessed and is much higher than the time required for the ES search.

• 한국의류산업학회지
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• 제25권4호
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• pp.508-519
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• 2023

Muscle reduction owing to aging causes changes in physical function among the elderly. Fitness compression wear reduces fatigue by compressing the main muscles, expanding blood vessels, and rapidly discharging lactic acid. The effect of clothing pressure when wearing fitness compression wear for the elderly was objectively and subjectively evaluated for six women aged 55-64 years. The evaluation clothes were three types of tops and bottoms, one type of design (A) preferred among the existing compression wear, and two types of design (B and C). The objective evaluation items included clothing pressure, blood flow, surface temperature, and subjective satisfaction. It was found that clothing A had the highest clothing pressure in the straight posture and five fitness movements. Blood flow increased the most when wearing the evaluation clothing. The surface temperature was found to be the highest for clothing C, and subjective satisfaction was found to be the best when wearing evaluation clothing B. If the tensile strength was low and the tensile elongation was high, as in evaluation clothing B, it was recognized as appropriate clothing pressure, and the subject was subjectively satisfied. When manufacturing fitness compression wear in the future, it will be possible to increase users' objective and subjective satisfaction with wearing it, if the incision of the garment were placed at the location of the line of non-extension (LoNE), and appropriate material characteristics are applied.

• 한국산학기술학회논문지
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• 제12권12호
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• pp.5865-5872
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• 2011

무선 센서 네트워크의 클러스터링 시스템에서 클러스터 헤드가 기지국으로부터 멀리 떨어져있어 다중홉으로 통신하는 경우, 센싱된 데이터는 중간 클러스터 헤드를 통해 기지국으로 전송한다. 기지국에 가까이 있는 헤드 노드가 먼 노드보다 더 많은 패킷을 중계할 필요가 있기 때문에 핫 스팟 문제가 생긴다. 이런 문제로 기지국 가까이에 있는 클러스터 헤드는 에너지가 쉽게 고갈되고 이로 인해 네트워크의 수명을 단축시킨다. 본 논문에서는 궤적 클러스터링 기법을 이용한 클러스터 그룹 헤드 선정 기법을 제안한다. 제안하는 방법에서 클러스터 헤드 및 그룹 헤드의 선정은 궤적 클러스터링 기법 및 적합도 함수를 이용함으로써 에너지 효율을 높인다. 또한 핫 스팟 문제는 여러 계층을 클러스터 그룹으로 지정하고 그에 대한 적합도 함수를 이용하여 에너지 소모의 균형을 맞춤으로써 해결한다. 실험을 통해 이전의 클러스터링 기법보다 네트워크 에너지 효율성이 향상됨을 입증한다.