• Journal of The Korean Association For Science Education
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• v.32 no.10
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• pp.1537-1550
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• 2012

This study aims to explore the differences between Korean and United States college students regarding their degree of religiosity, interest in, understanding and acceptance of evolution, and the effects of their interaction on these variables. A total of one thousand and fifteen Korean and US biology majors and non-majors college students participated in this study and a sub sample of 516 students were randomly selected for statistical tests. The results illustrated that Korean college students harbored significantly lower degrees of religiosity and interest in evolution but significantly higher degrees of knowledge and acceptance of evolution than US college students. The path analysis uncovered that the knowledge of and interest in evolution played a mediating role between religiosity and acceptance of evolution. Korean college students' interest in evolution was less correlated to other variables than US college students' interest. The acceptance of evolution was less predicted by knowledge of evolution in the Korean biology major sample than in the US biology major sample. The acceptance of evolution was predicted more by religiosity in the Korean non-major sample than in US non-major sample. This study suggests that future Korean science curriculum for evolution needs to enhance the degree of students' interest in evolution. In addition, future Korean science curriculum needs an instructional strategy in developing students' ability to make scientific decisions, such as the acceptance of evolution, without interference from their personal religious belief.

• Journal of Electrical Engineering and Technology
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• v.4 no.3
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• pp.323-329
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• 2009

This paper presents a new approach for thermal unit commitment (UC) using a differential evolution (DE) algorithm. DE is an effective, robust, and simple global optimization algorithm which only has a few control parameters and has been successfully applied to a wide range of optimization problems. However, the standard DE cannot be applied to binary optimization problems such as UC problems since it is restricted to continuous-valued spaces. This paper proposes binary differential evolution (BDE), which enables the DE to operate in binary spaces and applies the proposed BDE to UC problems. Furthermore, this paper includes heuristic-based constraint treatment techniques to deal with the minimum up/down time and spinning reserve constraints in UC problems. Since excessive spinning reserves can incur high operation costs, the unit de-commitment strategy is also introduced to improve the solution quality. To demonstrate the performance of the proposed BDE, it is applied to largescale power systems of up to 100-units with a 24-hour demand horizon.

• Journal of IKEEE
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• v.23 no.3
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• pp.941-946
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• 2019

In this paper, the author analyzed the PCI (Physical Cell Identification) allocation methods in the LTE (Long Term Evolution) SON (Self Organization Network) environment. A variety of techniques have been proposed for how to allocate PCI, and the LTE standard fundamentally explained that collision between a cell and neighbor cells arise while a cell assign the PCI. Therefore, in this paper, the author examined the scenarios of PCI collision, weak collision, and confusion proposed by LTE specification. In addition, the cell central approach and the distributed approach were discussed as solutions for each scenario. In this paper, the author reviewed the approach of graphic coloring technique which was studied recently and explained the strategy of central approach.

• Corrosion Science and Technology
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• v.22 no.5
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• pp.341-350
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• 2023

In the present study, effects of a thin Zn-flash coating on hydrogen evolution, infusion, and embrittlement of advanced high strength steel during electro-galvanizing were examined. The electrochemical permeation technique in conjunction with impedance spectroscopy was employed under applied cathodic polarization. Moreover, a slow-strain rate test was conducted to evaluate loss of elongation (i.e., indicative of hydrogen embrittlement (HE)) and examine fracture surfaces. Results showed that the presence of a thin Zn-flash coating, even when it was not distributed uniformly, reduced hydrogen evolution rate and substantially impeded infusion of hydrogen into the steel substrate. This was primarily due to a hydrogen overvoltage on Zn coating and trapping of hydrogen at the interface of Zn coating/flash coating/steel substrate. Consequently, the sample with flash coating had a smaller HE index than the sample without flash coating. These results suggest that a thin Zn-flash coating could be an effective technical strategy for mitigating HE in advanced high-strength steels.

• Journal of Microbiology and Biotechnology
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• v.33 no.11
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• pp.1412-1419
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• 2023

Retroviral integration into ancient vertebrate genomes left traces that can shed light on the early history of viruses. In this study, we explored the early evolution of retroviruses by isolating nine Spuma endogenous retroviruses (ERVs) and one Epsilon ERV from the genomes of Agnatha and Chondrichthyes. Phylogenetic analysis of protein sequences revealed a striking pattern of co-evolution between jawless fish ERV and their host, while shark ERV underwent ancient cross-class viral transmission with jawless fish, ray-finned fish, and amphibians. Nucleotide sequence analysis showed that jawless fish ERV emerged in the Palaeozoic period, relatively later than ray-finned fish ERV. Moreover, codon analysis suggested that the jawless fish ERV employed an infection strategy that mimics the host codon. The genealogical diversity of ERVs in the jawless fish genome highlights the importance of studying different viral species. Overall, our findings provide valuable insights into the evolution of retroviruses and their interactions with their hosts.

• Proceedings of the Korea Environmental Mutagen Society Conference
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• 2001.10b
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• pp.19-19
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• 2001

• Journal of Technology Innovation
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• v.18 no.2
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• pp.253-288
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• 2010

Production innovation capabilities are critical to the survival and growth of firms. This paper investigates industrial dynamics and dynamic capabilities of firms by looking at how an industry evolution process influences firms' product innovation strategy and how dynamic capabilities affect firms' product innovation process. Korea Wireless Internet industry shows a full cycle of industry evolution process including introduction phase, growth phase, maturity phase, and decline phase using by dynamic technological and market changes. 7 listed companies in Korea Wireless Internet industry were selected. We have conducted multiple case studies based upon in depth interviews. Empirical results show that different phases of industry evolution influence firms' strategy of product innovation. Dynamic capabilities are also appears to be very important to the survival and growth of a firm.

• Journal of the Korean Magnetics Society
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• v.7 no.2
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• pp.103-108
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• 1997

In this paper, the application of fuzzy decision to optimization of induction motor design is proposed. This method can reflect the designer's experience, view, and judgment, but also can be applied to multi-objective optimization design easily. The electromagnetic performance of the induction motor are calculated by means of the equivalent magnetic circuit method. The design method is The $D^2L$ method which is combined with fuzzy decision and optimization algorithm. As the optimization algorithm, the evolution strategy(ES) is applied. The proposed algorithm is applied to a multiobjective optimization of an induction motor design where the motor should have less weight and, at the same time, have higher efficiency and power factor at rated operating points.

• Journal of the Korean Magnetics Society
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• v.6 no.1
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• pp.40-47
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• 1996

In this paper, the optimal design rrethod of the electropermanent magnetic lifter is proposed. The electromag-netic performances at the states of attraction and release are calculated by the means of the equivalent magnetic circuit rrethod. The magnetic flux flow, the magneto-rrntive force and the aJronnt of lifting force correspond to the electromagnetic performances. As the optimization algorithm, the evolution strategy(ES) is applied for the maximization of the electromagnetic force at the state of attraction and for the minimization of the volume within the alJowable electomagnetic force range.[3] At this rrnrrent, the optimization satisfy the minimization of the electromagnetic force at the state of release. The validity of the proposed optimization rrethod is verified by the comparison between the optimization result and the FEM result (this FEM result is obtained from MAXWELL).

• ETRI Journal
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• v.39 no.4
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• pp.592-604
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• 2017

Intrusion detection is very important for network situation awareness. While a few methods have been proposed to detect network intrusion, they cannot directly and effectively utilize semi-quantitative information consisting of expert knowledge and quantitative data. Hence, this paper proposes a new detection model based on a directed acyclic graph (DAG) and a belief rule base (BRB). In the proposed model, called DAG-BRB, the DAG is employed to construct a multi-layered BRB model that can avoid explosion of combinations of rule number because of a large number of types of intrusion. To obtain the optimal parameters of the DAG-BRB model, an improved constraint covariance matrix adaption evolution strategy (CMA-ES) is developed that can effectively solve the constraint problem in the BRB. A case study was used to test the efficiency of the proposed DAG-BRB. The results showed that compared with other detection models, the DAG-BRB model has a higher detection rate and can be used in real networks.