• Proceedings of the KIEE Conference
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• 1994.11a
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• pp.408-410
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• 1994

This Paper Presents a learning strategy for neural networks based on genetic algorithms and evolution strategies. Genetic algorithms and evolution strategies are used to train weights of feedforward neural network to solve problems faster than neural network, especially backpropagation. Simulations are performed exclusive-OR problem, full-adder problem, sine function generator to demonstrate the effectiveness of neural-GA-ES.

• Information and Communications Magazine
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• v.3 no.1
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• pp.52-63
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• 1986

This paper discusses the network evolution strategies, worldwide trends in fiber optics systems, fiber hub in KTA access network, positioning the access network for new digital services - DLC(Digital Loop Carrier), CSA(Carrier Serving Area), and fiber optics systems overlay in the existing access network and its evolution toward near term ISDN.

• Korean Management Science Review
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• v.28 no.1
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• pp.11-24
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• 2011

In this paper, we develop a new conceptual framework for finding new business opportunities in the cloud computing environment. We propose a service model framework for cloud computing business. In the service concept of the proposed business model, we categorize customer needs and service offering value, while we analyze customer behavior for developing revenue model. In addition, we analyze cloud computing market drivers for finding an evolution path of the proposed business model. Finally, we develop cloud computing business strategies for Korean IT service industry.

• Journal of Microbiology and Biotechnology
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• v.33 no.10
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• pp.1257-1267
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• 2023

Although rational genetic engineering is nowadays the favored method for microbial strain improvement, building up mutant libraries based on directed evolution for improvement is still in many cases the better option. In this regard, the demand for precise and efficient screening methods for mutants with high performance has stimulated the development of biosensor-based high-throughput screening strategies. Genetically encoded biosensors provide powerful tools to couple the desired phenotype to a detectable signal, such as fluorescence and growth rate. Herein, we review recent advances in engineering several classes of biosensors and their applications in directed evolution. Furthermore, we compare and discuss the screening advantages and limitations of two-component biosensors, transcription-factor-based biosensors, and RNA-based biosensors. Engineering these biosensors has focused mainly on modifying the expression level or structure of the biosensor components to optimize the dynamic range, specificity, and detection range. Finally, the applications of biosensors in the evolution of proteins, metabolic pathways, and genome-scale metabolic networks are described. This review provides potential guidance in the design of biosensors and their applications in improving the bioproduction of microbial cell factories through directed evolution.

• Journal of the Computational Structural Engineering Institute of Korea
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• v.15 no.4
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• pp.591-598
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• 2002

In the ship structural design, the material cost of hull weight and the overall cost of construction processes should be minimized considering safety and reliability. In the past, minimum weight design has been mainly focused on reducing material cost and increasing dead weight reflect the interests of a ship's owner. But, in the past experience, the minimum weight design has been inevitably lead to increasing the construction cost. Therefore, it is necessary that the designer of ship structure should consider both structural weight and construction cost. In this point of view, multi-objective optimization technique is proposed to design the ship structure in this study. According to the proposed algorithm, the results of optimization were compared to the structural design of actual VLCC(Very Large Crude Oil Carrier). Objective functions were weight cost and construction cost of VLCC, and ES(Evolution Strategies), one of the stochastic search methods, was used as an optimization solver. For the scantlings of members and the estimations of objectives, classification rule was adopted for the longitudinal members, and the direct calculation method, GSDM(Generalized Slope Deflection Method), lot the transverse members. To choose the most economical design point among the results of Pareto optimal set, RFR(Required Freight Rate) was evaluated for each Pareto point, and compared to actual ship.

• Journal of Korea Technology Innovation Society
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• v.1 no.2
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• pp.153-164
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• 1998

This study attempts to provide policy makers and other interested parties with policy implications throughout an economic analysis of software sector. Chapter 2 is designed to provide an overview of market characteristics in the software sector. Chapter 3 reviews an overview of the evolution stage of the software industry and the effects these trends have on firm strategies. Chapter 4 reviews the relationships between software economic characteristics and intellectual property rights. Some suggestions are offered in the conclusion, with special attention given to an examination of market characteristics, firm strategies, government policies, and some economic factors.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.14 no.2
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• pp.56-70
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• 2006

Since the 90's, the world's aerospace industry have been experienced the era of radical changes. We make a comparative study about the 10 countries government policies and corporate strategies changes in this era. In this study, we figure out aerospace industry's evolutional patterns and factors through evolutionary perspective, and then, proposed development strategies and implications for Korea's aerospace industry.

• Advances in Computational Design
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• v.1 no.4
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• pp.315-327
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• 2016

Damage detection and localisation in structures is essential since it can be a means for preventive maintenance of those structures under service conditions. The use of structural modal data for detecting the damage is one of the most efficient methods. This paper presents comparative performance of various state-of-the-art meta-heuristics for use in structural damage detection based on changes in modal data. The metaheuristics include differential evolution (DE), artificial bee colony algorithm (ABC), real-code ant colony optimisation (ACOR), charged system search (ChSS), league championship algorithm (LCA), simulated annealing (SA), particle swarm optimisation (PSO), evolution strategies (ES), teaching-learning-based optimisation (TLBO), adaptive differential evolution (JADE), evolution strategy with covariance matrix adaptation (CMAES), success-history based adaptive differential evolution (SHADE) and SHADE with linear population size reduction (L-SHADE). Three truss structures are used to pose several test problems for structural damage detection. The meta-heuristics are then used to solve the test problems treated as optimisation problems. Comparative performance is carried out where the statistically best algorithms are identified.

• Journal of Digital Convergence
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• v.2 no.2
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• pp.9-28
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• 2004

The purpose of this study is explore the changes of environment in terms of diffusion of EC and to present effective marketing strategies for Electronic Commerce Activation. This paper focuses on the customer management, Real-Time Responding, and market strategies in Electronic Commerce. EC(Electronic Commerce) that out of the evolution of Internet technology gets a corporation changes to survive in 21st century. So the corporation must set the strategy to fit a Internet focused society. This paper is focusing the analysing the difference between the e-marketing and traditional marketing and proposing the new strategical marketing mix. On the Electronic Commerce, the 6Cs of marketing - Contents, Community, Commerce, Connection, Communication, Customizing - are being played out quite differently than they normally are off-line. In conclusion, the change in Electronic Commerce environment results in (1) redefinition of customer group, (2) different marketing strategies to fit in Electronic Commerce environment, and (3) changes in customer management, promotion strategy, advertizing appeal.

• 한국디지털정책학회:학술대회논문집
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• 2003.12a
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• pp.381-402
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• 2003

The Purpose of this study is explore the changes of environment in terms of diffusion of EC and to present effective marketing strategies for Electronic Commerce Activation. This paper focuses on the customer management, Real-Time Responding, and market strategies in Electronic Commerce. EC(Electronic Commerce) that out of the evolution of Internet technology gets a corporation changes to survive in 21st century. So the corporation must set the strategy to fit a Internet focused society. This paper is focusing the analysing the difference between the e-marketing and traditional marketing and proposing the new strategical marketing mix. On the Electronic Commerce, the 6Cs of marketing - Contents, Community, Commerce, Connection, Communication, Customizing - are being played out quite differently than they normally are offline. In conclusion, the change in Electronic Commerce environment results in (1) redefinition of customer group, (2) different marketing strategies to fit in Electronic Commerce environment, and (3) changes in customer management, promotion strategy, advertizing appeal.