• The Transactions of the Korean Institute of Electrical Engineers A
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• v.50 no.4
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• pp.180-187
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• 2001

This paper proposes an efficient evolutionary programming algorithm for solving a generation expansion planning(GEP) problem known as a highly-nonlinear dynamic problem. Evolutionary programming(EP) is an optimization algorithm based on the simulated evolution (mutation, competition and selection). In this paper, new algorithm is presented to enhance the efficiency of the EP algorithm for solving the GEP problem. By a domain mapping procedure, yearly cumulative capacity vectors are transformed into one dummy vector, whose change can yield a kind of trend in the cost value. To validate the proposed approach, this algorithm is tested on two cases of expansion planning problems. Simulation results show that the proposed algorithm can provide successful results within a resonable computational time compared with conventional EP and dynamic programming.

• Journal of the Korea Society of Computer and Information
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• v.20 no.2
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• pp.29-45
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• 2015

Systematic theory, concepts, and methodology for the biological evolution have been developed while patterns and principles of the evolution have been actively studied in the past 200 years. Furthermore, they are applied to various fields such as evolutionary economics, evolutionary psychology, evolutionary linguistics, making significant progress in research. In addition, existing studies have applied main biological evolutionary models to artifacts although such methods do not fit to them. These models are also limited to generalize evolutionary patterns of artifacts because they are designed in terms of a subjective point of view of experts who know well about the artifacts. Unlike biological organisms, because artifacts are likely to reflect the imagination of the human will, it is known that the theory of biological evolution cannot be directly applied to artifacts. In this paper, beyond the individual's subjective, the aim of our research is to present evolutionary patterns of a given artifact based on peeping the idea of the public. For this, we propose a text mining approach that presents a systematic framework that can find out the evolutionary patterns of a given artifact and then visualize effectively. In particular, based on our proposal, we focus mainly on a case study of mobile phone that has emerged as an icon of innovation in recent years. We collect and analyze review posts on mobile phone available in the domestic market over the past decade, and discuss the detailed results about evolutionary patterns of the mobile phone. Moreover, this kind of task is a tedious work over a long period of time because a small number of experts carry out an extensive literature survey and summarize a huge number of materials to finally draw a diagram of evolutionary patterns of the mobile phone. However, in this work, to minimize the human efforts, we present a semi-automatic mining algorithm, and through this research we can understand how human creativity and imagination are implemented. In addition, it is a big help to predict the future trend of mobile phone in business and industries.

• Journal of the Korea Fashion and Costume Design Association
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• v.21 no.3
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• pp.137-147
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• 2019

The purpose of this study, I investigate the new trend, 'new-tro', through the music video costumes of young generations, and analyze the meaning and characteristics of 'new-tro'. The research method is, select 30 music video with new-tro fashion style on the music sites, and the fashion styles were analyzed in 11 music videos checked and selected by 100 students. As a definition of the term, 'retro' refers to a phenomenon in which the past reappears in modern time, and 'new-tro' is a new retro trend, a social phenomenon that enjoys the old with a modern sense, and is a compound word of 'new' and 'retro'. 'new-tro' is a modern reinterpretation and rebirth of the past style, and 'fu-tro' is a style of coexistence between the past and the future. In the music video, fashion is a media language and cultural code, and it creates trend or new fashion, that communicates with the public, stimulating emotions. As a result of the research, the common trend phenomenon expressed in the music video costume of 'new-tro' trend which appeared in 2000s is as follows. 1. New-tro style starts with items that were famous in the past. 2. It is one of postmodern marketing using color, print and logo. 3. It spreads quickly by the influence of culture that is characteristic of the Internet and SNS world. 4. It is bottom up propagation phenomenon of street fashion. 5. It is a time game where modern people connect the past with the present. 6. "new-tro" continues to evolve for that time, based on 'retro'. New-tro, an evolutionary version of the 21st century retro wave. and it is a key to marketing effectiveness as a sympathetic elements of 1020 generations with the reproduction of memories.

• Proceedings of the Korean Society for Quality Management Conference
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• 1998.11a
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• pp.277-286
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• 1998

This paper investigates the problem of determining optimal replacement policies for equipment subject to failures with cyclic rates. In many situations, the system failures depend on the operating environmental conditions that vary on time, usually with periodical manners. We use nonhomogeneous Poisson processes whose rate functions exhibit cyclic behavior as well as a long-term evolutionary trend to model the stochastic process of the failures when the rate of occurrence of the failures varies periodically, for example from day to day or between seasons. In this study, we compare optimal policies under the nonhomogeneous process with/without a cyclic component in the failure rate function. The analytical results for various situations are presented along with numerical examples using simulated data.

• Management Science and Financial Engineering
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• v.5 no.2
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• pp.43-53
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• 1999

In many situations, the system failures depend on the operating environmental conditions that vary on time, usually with periodical manners. We use nonhomogeneous Poisson processes whose rate functions exhibit cyclic behavior as well as a long-term evolutionary trend to model the stochastic process of the failures when the rate of occurrence of the failures varies periodically, for example from day to day or between seasons. In this study, we compare optimal policies under the nonho-mogeneous process with/without a cyclic component in the failure rate function. The analytical re-sults for various situations are presented along with numerical examples using simulated data.

• Electrical & Electronic Materials
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• v.13 no.12
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• pp.6-9
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• 2000

Over the years of decades, the memory technology has progressed a long, marble way. As we have evidenced from the Intel's 1Kb DRAM in 1970 to the Gigabit era of 2000's, the road further ahead towards the Terabit era will be unfolded. The technology once perceived inconceivable is in realization today, and similarly roadblocks as we know of today mayvecome trivial issues for tomorrow. For the inquiring mind, the question is how the "puzzle"of tomorrow's memory technology is pieced-in today. The process will take place both in evolutionary and revolutionary ways. Among these, note-worthy are the changes in DRAM architecture and the cell process technology. In this paper, some technical approaches will be discussed to bring these aspects into a general overview and a per-spective with possibilities for the new memory technology will be presented.presented.

• Korean Journal of Veterinary Service
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• v.25 no.1
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• pp.97-103
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• 2002

Infectious bronchitis(IB) is a viral disease in which continued evolution of the virus is of paramount importance for annual endemics and epidemics in chickens. Since the isolation of IB viruses(IBVs) in the 1930s, over 50 serotypes or variants have been reported worldwide. Continuing evolution is most prominent in the suface glycoproteins of IBV but also occurs in other parts of the genome. This genetic variability results from accumulation of molecular changes that can occur by a number of different mechanisms including genetic drift (point mutations) and genetic shift(RNA recombination). GA98 is a new serotype of IBV identified recently in the United States. In this paper, the evolutionary trend of IBV will be discussed using GA98 serotype as a model.

• Journal of the Korean Institute of Rural Architecture
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• v.13 no.3
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• pp.99-106
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• 2011

The purpose of this paper is to examine their degree of housing satisfaction in Gyeongju, focused on indoor environment of urban traditional houses. Mostly built during time period from 1930's to 1980's in Seoak-dong, Bomun-dong, Namsan-dong, Sajeong-dong, and Hwangnam-dong, Gyeongju' Hanok reveals the evolutionary development to fit into the urban settlement. Urban traditional house has important meaning as a type of residence maintaining tradition of Korean residential culture, and it is the study's first goal to derive developable element by analyzing the characteristics of urban traditional house focusing on such a feature. Residents in 5 districts in Gyeongju were classified and the self-administered questionnaires were provided to them. 187 papers were used for final analysis. The data for general trend of satisfaction was seek for after its average and standard variation were calculated.

• The Korean Journal of Ecology
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• v.28 no.6
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• pp.405-415
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• 2005

This paper considers the advantage of Machine Learning (ML) implemented to freshwater ecosystem research. Currently, many studies have been carried out to find the patterns of environmental impact on dynamics of communities in aquatic ecosystems. Ecological models popularly adapted by many researchers have been a means of information processing in dealing with dynamics in various ecosystems. The up-to-date trend in ecological modelling partially turns to the application of ML to explain specific ecological events in complex ecosystems and to overcome the necessity of complicated data manipulation. This paper briefly introduces ML techniques applied to freshwater ecosystems in Korea. The manuscript provides promising information for the ecologists who utilize ML for elucidating complex ecological patterns and undertaking modelling of spatial and temporal dynamics of communities.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2000.07a
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• pp.17-20
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• 2000

Over the years of decades, the memory technology has progressed a long, marble way. As we have evidenced from the Intel’s 1Kb DRAM in 1970 to the Gigabit era of 2000’s, the road further ahead towards the Terabit era will be unfolded. The technology once perceived inconceivable is in realization today, and similarly roadblocks as we know of today may become trivial issues for tomorrow. For the inquiring mind, the question is how the “puzzle” of tomorrow’s memory technology is pieced-in today. The process will take place both in evolutionary and revolutionary ways. Among these, note-worthy are the changes in DRAM architecture and the cell process technology. In this paper, some technical approaches will be discussed to bring these aspects into a general overview and a perspective with possibilities for the new memory technology will be presented.