• Journal of Electrical Engineering and Technology
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• v.11 no.4
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• pp.915-920
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• 2016

A power system designer may have difficulties in choosing a suitable multiple-input converter topology for a specific target application because each multiple-input converter topology presented in the literature has its own advantages and disadvantages. In this perspective, this paper presents a systematic topology selection method for multiple-input converters with three comparison criteria including cost-saving effect, modularity potential and flexibility. Based on these criteria, this paper proposes a strategic flow chart example for choosing a proper multiple-input converter topology. This flow chart will provide a powerful selection tool to a power system designer when he or she chooses a specific multiple-input converter for a given application.

• Journal of the Ergonomics Society of Korea
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• v.34 no.6
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• pp.563-581
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• 2015

Objective: This study was conducted to investigate the potential of sematic network analysis for design research. Background: As HCD (Human-Centered Design) was emphasized, lots of design research methodologies were developed and used in order to find user needs. However, it is still difficult to discover users' latent needs. This study suggests the semantic network analysis as a complementary means for design research, and proved its potential through the practical application, which compares multi-screen purchase and usage behaviors between America and China. Method: We conducted an in-depth interview with 32 consumers from USA and China, and analyzed interview texts through semantic network analysis. Cross cultural differences in purchase and usage behaviors were investigated, based on measuring centrality and community modularity of devices, functions, key buying factors and brands. Results: Americans use more services and functions in the multi-screen environment, compared to Chinese. As a device substitutes other devices, traditional boundaries of the devices are disappearing in the USA. Americans consider function to recall Apple, but Chinese consider function, design and brand to recall Apple, Sony and Samsung as an important brand at the time of their purchase. Conclusion: This study shows the potential of semantic network analysis for design research through the practical application. Semantic network analysis presents how the concepts regarding a theme are structured in the cognitive map of users with visual images and quantitative data. Therefore, it can complement the qualitative analysis of the existing design research. Application: As the design environment becomes more and more complicated like multi-screen environment, semantic network analysis, which is able to provide design insights in the intuitive and holistic perspective, will be acknowledged as an effective tool for further design research.

• Journal of KIISE:Computer Systems and Theory
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• v.31 no.1_2
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• pp.112-117
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• 2004

In this paper, we propose a suitable multiplication architecture for cellular automata in a finite field $GF(2^m)$. Proposed least significant bit first multiplier is based on irreducible all one Polynomial, and has a latency of (m+1) and a critical path of $ 1-D_{AND}＋1-D{XOR}$.Specially it is efficient for implementing VLSI architecture and has potential for use as a basic architecture for division, exponentiation and inverses since it is a parallel structure with regularity and modularity. Moreover our architecture can be used as a basic architecture for well-known public-key information service in $GF(2^m)$ such as Diffie-Hellman key exchange protocol, Digital Signature Algorithm and ElGamal cryptosystem.

• Journal of the Korean housing association
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• v.26 no.1
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• pp.43-51
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• 2015

The purpose of this study was to analyze the planning characteristics and it's application of container architecture as case study. Field survey was used to analyze the spatial planning characteristics in terms of development outline, appearance, exterior, floor plan and interior of eight famous cases in Berlin, Hamburg, Hannover, Amsterdam and Paris of Europe. The results of this study were as follows; Firstly, good examples of container architectures such as student housing, social service center, temporary medical facility and cruise terminal in Europe suggested the potential of domestic applicability in various purposes and development. Secondly, various types of freight container, building container and module frame system should be developed with their reprocessing environment. Thirdly, it is necessary for us to develop ISO type(20~40ft) container and standard plan with interior and storage design reflecting demands of residents. Finally, the use of container module will be an environmental-friendly alternative for its modularity and reusability, so it should be used as it is without severe deformation. The development of environmental friendly energy sources such as hydro and solar power is necessary for domestic container architecture as well. The container design should include the use of high quality of exterior finishing materials and the plan of aesthetical color planning to make the building a local landmark.

• The Journal of the Korea Contents Association
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• v.17 no.4
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• pp.275-284
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• 2017

Modularity has merits in modifiability of product structure management and product arrangement. This feature helps consumer to expand the selection of products and to get customized products. Also consumers are drive satisfaction and reduce a post-purchase dissonance from role in a 'prosumer'. But expanding product's alternative would cause the overload confusion by rising complexity of information handling. Purpose of the study is to verify how interaction about option size and personal disposition are effected consumer's overload confusion. For this purpose we deducted 3 personal dispositions 'Regulatory focus', 'Product familiarity', 'Self-efficacy' that presented lead to potential effect of personal information handling by previous research. By statistical inquiry prevent focus group had perceived more overload confusion than promotion focus group in an expanding option size circumstances. And low Product familiarity and Self-efficacy group had perceived more overload confusion than high Product familiarity and Self-efficacy group in a expanding option size circumstances.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.14 no.4
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• pp.199-209
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• 2019

The importance of business strategy for successful social media engagement has quickly increased as more businesses engage in social media. The importance is even greater for startup companies because startup companies are genuinely new to business, and they need to increase their presence in the market, and quickly access future customers. The objective of this paper lies in exploring key indicators of social media engagements by selected startup companies. The key indicators include two aspects of social media usages by the companies: i) overall social media activities, and ii) properties of network structure of the information flow platform provided by social media service. To better assess and evaluate the key indicators of social media usages by startup companies, the indicators will be compared with those of selected large established companies. Twitter is selected as a social media service for the analysis of this paper, and using Twitter REST API, data regarding the key indicators of overall Twitter activities and the Twitter follower-network of each company in the sample are collected. Then, the data are analyzed using social network analysis and hierarchical clustering analysis to examine the characteristics of the follower-network structures and to compare the characteristics between startup companies and established companies. The results show that most indicators are significantly different across startup companies and established companies. One key interesting finding is that the startup companies have proportionally more influencers in their follower-networks than the established companies have. Another interesting finding is that the follower-networks of startup companies in the sample have higher modularity and higher transitivity, suggesting that the startup companies tend to have a proportionally larger number of communities of users in their follower-networks, and the users in the networks are more tightly connected and cohesive internally. The key business implication for the future social media engagement efforts by startup companies in general is that startup companies may need to focus on getting more attention from influencers and promoting more cohesive communities in their follower-networks to appreciate the potential benefits of social media in the early stage of business of startup companies.