• Journal of the Korea Computer Industry Society
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• v.5 no.3
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• pp.393-404
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• 2004

Recently, public home have used a more than two computer connected with network, and several home appliances using independently with internet or network are developing to be related closely with the network. Therefore, the home utilized for a simple terminal of the global network in the past is being expanded to another part of the sub network. For a variety of connecting home-area protocols with the existing existing network, we require a new Residential Gateway(RG) that does not only make the home-area network operating in the sub network but also connects to the external network. In this paper, RG has intrinsic limits against flexible service due to IP address assignment and hardware capacity. In order to solve this problem in the RG, we propose a Management Server(MS). The MS that offers the integrated managements and control services for a variety of devices connected the RG in the home-area. It can not only solve the dynamic IP address assigning problem but also assigns private IP addresses to the home network devices through the Network Address Translation(NAT). It also provides somewhat useful functions for the home network and the RG for other additional services. <중략> The MS is using a SNMP protocol for managing the RG in the domain, a polling method of the MS and the RG compose a sequence polling method, a polling method using a multi-process and a multi-thread. In this paper, we introduce a problem with polling method separately, show a polling method between the MS and the RG using a multi-thread.

• Korean journal of communication and information
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• v.58
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• pp.106-129
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• 2012

Social Network Service(SNS), which are an emerging form of political architecture, have been a political means to promote civic engagement and shape pubic opinions on social issues. Along with the influence of SNSs, the governmental control on the dissemination of information over SNSs has increased more and more. It would be ideal if the autonomous governance regulates SNSs which facilitate the networks of the dispersed people. It is the fact, though, that compulsory regulations under which the government controls impose policy and legal restrictions on political expressions. The current study addresses expressive and participatory nature embedded in technological characteristics of SNSs and discusses the problems of content regulations of political expression over SNSs. First of all, it is analyzed that light touch regulation or light touch monitoring should be applied to regulating content on SNSs, particularly political expressions. Constitutional Court proclaimed that legal restrictions on the Internet could infringe basic rights of the people and thus under unambiguous standards, the Doctrine of Clear and Present Danger should be applied to its content. Second, it is found that clarifying the definition of illegality in the application of legal restrictions is necessary to minimize the excessive misleading. Third, it is required that Korea Communications Standards Commission under the government control needs to change in determining the scope of illegal information. In a domestic level, there needs to be safeguards for the protection of the self-regulatory organization such as KISO to guarantee voluntary and autonomous regulatory practices.

• Information Systems Review
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• v.11 no.2
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• pp.67-90
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• 2009

This study addresses information technology using level has an effect on the collaboration and organization's performance depending on the partnership that is important because of rapid development of information technology and internet diffusion. In the long view, information technology persistently increases the performance and expects the useful factor for the examing the organization's performance. Information technology using level leaves the lowness or highly, information technical application effort for the future value of each enterprise is necessary, the staff education which continuous for this the fact that the introduction is more important what continuously is information technology which is suitable at the enterprise of execution. The main purpose of this study is to figure out the difference between collaboration and organization's outcome using information technology using level that is moderating variable and difference the effect.

• Journal of Distribution Science
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• v.13 no.7
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• pp.63-71
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• 2015

Purpose - The characteristics of the modern management environment in Korea clearly involve the limitations of knowledge management, globalization, changes in industrial structures, polarization of the economy, consumption, and education, and the demand for creative management. To achieve a continuous competitive advantage for individuals as well as organizations, Wisdom Management can be said to be a paradigm for the current environment. The Research is an alternative to environmental management in the early study of the need to conceptualize the theoretical approach to wisdom management. In other words, it presents a new management paradigm for a business environment of uncertainty and unpredictability. Furthermore, it aims to propose Wisdom Management as an alternative in the modern management environment as well as a topic of discourse. Its purpose is to provide basic knowledge to people who study and practice in this field to strengthen the competitiveness of individuals and companies. Research design, data, and methodology - This paper first provides six characteristics of the current management environment at home and abroad. It then attempts to emphasize the necessity of wisdom based on such characteristics by classifying wisdom according to recent management study research. This allows the derivation of definitions of wisdom management, suggesting its components and properties. Results - The six characteristics of the modern business environment are: 1) limits of knowledge, 2) intensifying globalized competition, 3) changes in industry structure - IoT (Internet of all Things) trend, 4) serious polarization and social unrest diffusion, 5) personal and organizational competitiveness creativity requirements, and 6) domestic special national and social situations. Therefore, accordingly, wisdom can be defined and classified as: wisdom that offers potential integration beyond knowledge, practicing and maintaining knowledge wisdom as an efficient strategy for an organization wisdom as a decision-making process that addresses ambivalence wisdom as the pursuit of common goods based on ethics; and, wisdom as creativity that involves intuition and insight. This paper attempts to define Wisdom Management in accordance with these definitions of wisdom. Wisdom Management is a management system that is awareof the current environment given in the multidimensional perspective, achieves the efficiency of the organization and the goals of common good through an uncertain decision-making process, based on the organization of individual and organizational knowledge, and the internal experiences and resources. Wisdom Management components include human beings, virtue, knowledge, creativity, and ambivalent thinking. Its properties include intentionality, self-destructiveness, creative and ethical reflexivity, complexity, insight, unpredictability, ambivalence, and wholeness. Conclusions - Since all organizations face the limitations of their environment, crises, and opportunities, applying wisdom in management to develop as Wisdom Management can be an inevitable alternative to the uncertainties of the management environment faced by modern society. The conceptualization of Wisdom Management forms a valuable context to further advance knowledge management theory into practice. It is also a cornerstone of strategic management and can provide insight into its potential for success and implementation.

• Journal of the Korean Geographical Society
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• v.48 no.2
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• pp.259-271
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• 2013

This paper addresses the efficient facility placements to adopt a super WiFi network, taking significant considerations as the next generation 'information highway'. Since the super WiFi has a wider geographic coverage by utilizing the white spaces of TV broadcasting which are empty and available frequencies for the wireless communications, it would play an important role in releasing digital divide of the internet access for low populated or mountainous areas. The purpose of this paper is to explore systematic and efficient spatial plans for the super WiFi. For doing this, we applied optimal location covering models to Gurye-gun, Jeonlanamdo. From the application, we presented optimal locations for super WiFi facilities and significant analytical results, such as the tradeoff between the number of facilities and coverage and marginal coverage for establishing super WiFi network. The results of this research would be usefully utilized for decision makers who wish to adopt a super WiFi, to extend wireless networks in a city or build a regional infrastructure of wireless facilities.

• Journal of Global Scholars of Marketing Science
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• v.20 no.1
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• pp.4-14
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• 2010

Collaboration strategies entail information sharing and other varied forms of cooperation that are mutually beneficial to the company and stakeholder groups. This study addresses the specific types of collaboration used in the fashion industry while also examining strategies that have been most successful for fashion companies and perceived benefits of collaboration from the customer perspective. In the present study we define fashion companies and brands as collaborators and their partners or stakeholders as collaboratees. We define collaboration as a cooperative relationship where more than two companies, brands or individuals provide customers with beneficial outcomes utilizing their own competitive advantages on an equal basis. Collaboration strategies entail information sharing and other varied forms of cooperation that are mutually beneficial to the company and stakeholder groups. Through collaboration, fashion companies have pursued both tangible differentiation, such as design and technology applications, and intangible differentiation such as emotional and psychological benefits to customers. As a result, collaboration within the fashion industry has become an important, value creating concept. This qualitative study utilized case studies and in-depth interview methodologies to examine customers' attitudes concerning collaboration in the fashion industry. A total of 173 collaboration cases were identified in Korean and international markets from 1998 through December 2008, focusing on fashion companies. Cases were collected from documented data including websites and industry data bases and top ranked portal search sites such as: Rankey.com; Naver, Daum, and Nate; and representative fashion information websites, Samsungdesignnet and Firstviewkorea. Cases were collected between November 2008 and February 2009. Cases were selected for the analysis where one or more partners were associated with the production of fashion products (excluding textile production), retail fashion products, or designer services. Additional collaboration case information was obtained from news articles, periodicals, internet portal sites and fashion information sites as conducted in prior studies (Jeong and Kim 2008; Park and Park 2004; Yoon 2005). In total, 173 cases were selected for analysis that clearly exhibited the benefits and outcomes of collaboration efforts and strategies between fashion companies and stakeholders. Findings show that the overall results show that for both partners (collaborator and collaboratee) participating in collaboration, that the major benefits are reduction of costs and risks by sharing resource such as design power, image, costs, technology and targets, and creation of synergy. Regarding types of collaboration outcomes, product/design was most important (55%), followed by promotion (21%), price (20%), and place (4%). This result shows that collaboration plays an important role in giving life to products and designs, particularly in the fashion industry which seeks for creative and newness. To be successful in collaboration efforts, results of the depth interviews in this study confirm that fashion companies should have a clear objective on why they are doing the collaboration. After setting the objective, they should select collaboratees that match their brand image and target market, make quality co-products that have definite concepts and differentiating factors, and also pay attention to increasing brand awareness. Based on depth interviews with customers, customer benefits were categorized into six factors: pursuit for individual character; pursuit for brand; pursuit for scarcity; pursuit for fashion; pursuit for economic efficiency; and pursuit for sociality. Customers also placed more importance on image, reputation, and trust of brands regarding the cases shown in the interviews. They also commented that strong branding should come first before other marketing strategies. However, success factors recognized by experts and customers in this study showed different results by subcategories. Thus, target customers and target market should be studied from various dimensions to develop appropriate strategies for successful collaboration.

• Journal of Korean Home Economics Education Association
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• v.19 no.2
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• pp.1-12
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• 2007

This study analyzed the recognition and utilization regarding teacher's guidebook for middle school technology-home economics class in the 7th Educational Curriculum. The data were collected via e-mail to teachers teaching home economics in middle schools. These e-mail addresses were acquired from middle school web pages registered on the Educational Board. The 355 data were analyzed using the SPSS program. The results were as follows: First, teachers recognized highly the necessity of teacher's guidebook. However, as the actual guidebook was not adequately helpful, the overall degree of satisfaction was relatively low. Teachers utilizing guidebook had more positive recognition on teacher's guidebook than teachers who did not. And teachers majored in technology education thought teacher's guidebook more helpful compared with teachers majored in home economics education. Second, teachers referenced teacher's guidebook mostly for field practice guidance. Third, teachers who did not utilize teacher's guidebook used other reference materials such as Internet Web sites and audiovisual materials. They were most commonly used for the reason that the contents were ample and easy to access. Fourth, the followings were suggested to improve teacher's guidebook. The provision of learning contents that can be practically used in class, the various samples of teaching-learning method, the specified methods of planning and criteria for performance assessment, the adequate supplementations regarding textbook contents, and the improvement of the outward layout format of the guidebook.

• Journal of Intelligence and Information Systems
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• v.21 no.1
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• pp.119-142
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• 2015

With the explosive growth in the volume of information, Internet users are experiencing considerable difficulties in obtaining necessary information online. Against this backdrop, ever-greater importance is being placed on a recommender system that provides information catered to user preferences and tastes in an attempt to address issues associated with information overload. To this end, a number of techniques have been proposed, including content-based filtering (CBF), demographic filtering (DF) and collaborative filtering (CF). Among them, CBF and DF require external information and thus cannot be applied to a variety of domains. CF, on the other hand, is widely used since it is relatively free from the domain constraint. The CF technique is broadly classified into memory-based CF, model-based CF and hybrid CF. Model-based CF addresses the drawbacks of CF by considering the Bayesian model, clustering model or dependency network model. This filtering technique not only improves the sparsity and scalability issues but also boosts predictive performance. However, it involves expensive model-building and results in a tradeoff between performance and scalability. Such tradeoff is attributed to reduced coverage, which is a type of sparsity issues. In addition, expensive model-building may lead to performance instability since changes in the domain environment cannot be immediately incorporated into the model due to high costs involved. Cumulative changes in the domain environment that have failed to be reflected eventually undermine system performance. This study incorporates the Markov model of transition probabilities and the concept of fuzzy clustering with CBCF to propose predictive clustering-based CF (PCCF) that solves the issues of reduced coverage and of unstable performance. The method improves performance instability by tracking the changes in user preferences and bridging the gap between the static model and dynamic users. Furthermore, the issue of reduced coverage also improves by expanding the coverage based on transition probabilities and clustering probabilities. The proposed method consists of four processes. First, user preferences are normalized in preference clustering. Second, changes in user preferences are detected from review score entries during preference transition detection. Third, user propensities are normalized using patterns of changes (propensities) in user preferences in propensity clustering. Lastly, the preference prediction model is developed to predict user preferences for items during preference prediction. The proposed method has been validated by testing the robustness of performance instability and scalability-performance tradeoff. The initial test compared and analyzed the performance of individual recommender systems each enabled by IBCF, CBCF, ICFEC and PCCF under an environment where data sparsity had been minimized. The following test adjusted the optimal number of clusters in CBCF, ICFEC and PCCF for a comparative analysis of subsequent changes in the system performance. The test results revealed that the suggested method produced insignificant improvement in performance in comparison with the existing techniques. In addition, it failed to achieve significant improvement in the standard deviation that indicates the degree of data fluctuation. Notwithstanding, it resulted in marked improvement over the existing techniques in terms of range that indicates the level of performance fluctuation. The level of performance fluctuation before and after the model generation improved by 51.31% in the initial test. Then in the following test, there has been 36.05% improvement in the level of performance fluctuation driven by the changes in the number of clusters. This signifies that the proposed method, despite the slight performance improvement, clearly offers better performance stability compared to the existing techniques. Further research on this study will be directed toward enhancing the recommendation performance that failed to demonstrate significant improvement over the existing techniques. The future research will consider the introduction of a high-dimensional parameter-free clustering algorithm or deep learning-based model in order to improve performance in recommendations.