• Korean Journal of Human Ecology
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• v.14 no.4
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• pp.653-663
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• 2005

The society advance of a development of the science technique and women from the industrialization, women prefered the tailor-made clothes to the convenient ready-made clothes in the aspect to be economic and save time in the clothing habits. After marriage, middle age women change the comparison of their body due to the pregnancy and birth, the body girth of them increases compared with young woman, the winding of the waist comes to be small and they show the feature of body which the vibration thickness and the brachial girth grows bigger. The reason is that the problem on the fitness of the ready-made clothes comes into being. According to this result which analyzes a ready-made clothes body of the jacket-brand which does the middle age woman to the target in research, actual purchasing age appears than the age which most companies do to the target so that it is high, and though the body is divided in KS standard, the measurement distinguished without the body and most companies were producing the jacket. There was many case to select a fitting model Among a designer or within firm employee with the similar body and measurement. It was revealed that high rate of mending relation of a sale jacket of the company. Research about the body of the ready-made clothes is thought by continuing over there.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.11
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• pp.2514-2520
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• 2010

The objective of this paper is to propose the methodology for automated generation of the optimal security defense strategies using evolutionary techniques. As damages by penetration exploiting vulnerability in computer systems and networks are increasing, security techniques have been researched actively. However it is difficult to generate optimal defense strategies because it needs to consider various situations on network environment according to countermeasures. Thus we have adopted a genetic algorithm in order to generate an optimal defense strategy as combination of countermeasures. We have represented gene information with countermeasures. And by using simulation technique, we have evaluated fitness through evaluating the vulnerability of system having applied various countermeasures. Finally, we have examined the feasibility by experiments on the system implemented by proposed method.

• KIPS Transactions on Software and Data Engineering
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• v.4 no.8
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• pp.321-330
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• 2015

In journal manuscript submission and review systems, authors can submit their manuscript at any time and editorial members are struggling to find proper reviewers for the submitted manuscripts and assign them to such reviewers. In order to solve this problem, we propose a greedy algorithm and a genetic algorithm to recommend proper reviewers for the submitted manuscripts. The proposed algorithms evaluate reviewers' speciality for the submitted manuscripts by using the submitted manuscripts' keywords and the reviewers expertises. In addition to that, they take the fairness among the reviewers' speciality and the review frequency for consideration. To verify the proposed algorithms, we apply them to the JIPS manuscript submission and review system that the Korea Information Processing Society has operated, and present the results in this paper. By performing the performance evaluation of the proposed algorithms, we finally show that the genetic algorithm outperforms the greedy algorithm in terms of the recommended reviewers' fitness.

• Journal of Advanced Navigation Technology
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• v.24 no.5
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• pp.382-392
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• 2020

The use of unmanned aerial vehicle (UAV) have been regarded as a promising technique in both military and civilian applications. Nevertheless, due to the lack of relevant and regulations and laws, the misuse of illegal drones poses a serious threat to social security. In this paper, aiming at deriving the three-dimension optimal surveillance trajectories for group monitoring drones, we develop a group trajectory planner based on the particle swarm optimization and updating mechanism. Together, to evaluate the trajectories generated by proposed trajectory planner, we propose a group-objectives fitness function in accordance with energy consumption, flight risk. The simulation results validate that the group trajectories generated by proposed trajectory planner can preferentially visit important areas while obtaining low energy consumption and minimum flying risk value in various practical situations.

• The Journal of the Korea Contents Association
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• v.9 no.10
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• pp.67-74
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• 2009

Incorrect deployment of RFID readers occurs reader-to-reader interferences in many applications using RFID technologies. Reader-to-reader interference occurs when a reader transmits a signal that interferes with the operation of another reader, thus preventing the second reader from communicating with tags in its interrogation zone. Interference detected by one reader and caused by another reader is referred to as a reader collision. In RFID systems, the reader collision problem is considered to be the bottleneck for the system throughput and reading efficiency. In this paper, we propose a novel RFID reader anti-collision algorithm based on evolutionary algorithm(EA). First, we analyze characteristics of RFID antennas and build database. Also, we propose EA encoding algorithm, fitness algorithm and genetic operators to deploy antennas efficiently. To show superiority of our proposed algorithm, we simulated our proposed algorithm. In the result, our proposed algorithm obtains 95.45% coverage rate and 10.29% interference rate after about 100 generations.

• Proceeding of KASS Symposium
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• 2008.05a
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• pp.101-106
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• 2008

This paper describes a comparative study of genetic algorithm and mathematical programming technique applied in the design optimization of geodesic dome. In particular, the genetic algorithm adopted in this study uses the so-called re-birthing technique together with the standard GA operations such as fitness, selection, crossover and mutation to accelerate the searching process. The finite difference method is used to calculate the design sensitivity required in mathematical programming techniques and three different techniques such as sequential linear programming (SLP), sequential quadratic programming(SQP) and modified feasible direction method(MFDM) are consistently used in the design optimization of geodesic dome. The optimum member sizes of geodesic dome against several external loads is evaluated by the codes $ISADO-GA{\alpha}$ and ISADO-OPT. From a numerical example, we found that both optimization techniques such as GA and mathematical programming technique are very effective to calculate the optimum member sizes of three dimensional discrete structures and it can provide a very useful information on the existing structural system and it also has a great potential to produce new structural system for large spatial structures.

• Fashion & Textile Research Journal
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• v.11 no.2
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• pp.278-285
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• 2009

As children's apparel industry expands, there are many researches on purchasing and wearing children's clothing and optimal sizes, but researches on purchasing and wearing children's clothing and the appropriateness of sizes comparing average body shape and obese children are still inadequate. Therefore, in this research Late Elementary Schoolgirls ranging in age from 12 to 13 are categorized into the average or the obese body type, and by comparing and analyzing purchasing and wearing children's clothing and the appropriateness of its sizes between these groups, the problems in the size system of children's apparel are realized and the basic information about designing children's clothing for average body shape and non-average body shape(out-size)children are presented. The survey questions were composed of topics about general personal information, the purchasing practice and wearing practice, the appropriateness of its size when wearing children's clothing and the practice of mending apparel according to the satisfaction level of children's clothing sizes. Because subjects are often too big to wear children's clothing, and in the case of obese children the deviation of a body type is amplified, therefore in buying and wearing children's clothing, they demonstrate different forms of purchasing and wearing characteristics than adults. Considering the practice of increasing obesity in children due to westernized eating habits and decreased physical activities, along with developing programs for improving obesity, the development of an optimal size system in response to various body types will become an important challenge.

• Journal of the Korean Institute of Intelligent Systems
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• v.24 no.3
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• pp.279-284
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• 2014

This paper proposes a optimum design method for the Fuzzy PID controller of magnetic levitation-based Rail-Guided Vehicle(RGV). Since an attraction type levitation system is intrinsically unstable, it is difficult to completely satisfy the desired performance through the methods designed by conventional controllers. In the paper, the Fuzzy PID controller with fixed parameters are applied and then the optimum parameters of fuzzy PID controller are selected by genetic algorithm. For the fitness function of genetic algorithm, the performance index of PID controller is used. To verify the performance of the proposed method, we used Matlab/simulink model of Maglev and compared the proposed method with the performance of PID controller. The simulation results show that the proposed method is more effective than conventional PID controller.

• Fashion & Textile Research Journal
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• v.12 no.1
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• pp.86-93
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• 2010

The purpose of this study was to develop torso pattern of Middle-aged obese women by using the virtual twin and 3D virtual garment simulation system. The results were as follows; 1. By using 3D Virtual Garment Simulation, new torso pattern considered obese women was development. The basic numerical formula were as follows ; bust girth B/2+5, armhole depth B/6+5, front waist girth W/4+2+0.5, back waist girth W/4+1-0.5, front hip girth H/4+1+0.5, back hip girth H/4+2-0.5, chest width B/6+2.5, back width B/6+2.5 and back neck width B/20+2.5. 2. According to the results of the new torso pattern's appearance evaluation, it estimated more highly than existing pattern in silhouette and ease amount, confirming that new torso pattern is appropriate for the obese women. Also, new torso pattern was evaluated to allow proper space length of bust, waist, abdomen and hip. Virtual models production through 3D body scan data, pattern draft and virtual garment digital program were applied to prototypic design method so as to enhance the fitness of ready-made garments. This study is expected to serve as one of important basic data for ensuing studies that may utilize 3D Virtual Garment Simulation System with 2D patterns, and also for future 3D Pattern Production Program development.

• Journal of the Korean Institute of Intelligent Systems
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• v.15 no.3
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• pp.375-381
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• 2005

Usually genetic algorithms are used to design optimal system. However the performance of the algorithm is determined by the fitness function and the system environment. It is expected that a co-evolutionary algorithm, two populations are constantly interact and co-evolve, is one of the solution to overcome these problems. In this paper we propose three types of co-evolutionary algorithm to solve GA-Hard problem. The first model is a competitive co-evolutionary algorithm that solution and environment are competitively co-evolve. This model can prevent the solution from falling in local optima because the environment are also evolve according to the evolution of the solution. The second algorithm is schema co-evolutionary algorithm that has host population and parasite (schema) population. Schema population supply good schema to host population in this algorithm. The third is game model-based co-evolutionary algorithm that two populations are co-evolve through game. Each algorithm is applied to visual servoing, robot navigation, and multi-objective optimization problem to verify the effectiveness of the proposed algorithms.