• Informatization Policy
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• v.22 no.3
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• pp.61-93
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• 2015

This article assesses and examines democratic potentials of the Internet for U.S. citizens' political participation. The empirical analysis on the data from Pew Research Center's questionnaire survey focuses on four different political activities in both online and offline modes: casual political talk, contact with a government official, petition, and political contribution. The study answers two research inquiries: 1) How does the Internet influence the established patterns of political participation?; and 2) How does the Internet influence the demographic distribution of participatory inequality? Firstly, the Internet, by providing existing participants with additional tools for participation, reinforces conventional participation, rather than mobilizing new participation in politics. Secondly, the online patterns of the participation divide with respect to demographic characteristics imitate the traditional patterns of inequality and disproportionate representativeness in political participation. The Internet is still not a predominant medium for political activities. Citizens' utilization of its transformative and mobilizing potentials remains limited.

• Journal of the Architectural Institute of Korea Structure & Construction
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• v.34 no.6
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• pp.63-69
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• 2018

The machine learning model can capture the dynamics of building systems with less inputs than the first principle based simulation model. The training data for developing a machine learning model are usually selected in a heuristic manner. In this study, the authors developed a machine learning model which can describe supply air temperature from an AHU in a real office building. For rational reduction of the training data, the progressive sampling method was used. It is found that even though the progressive sampling requires far less training data (n=60) than the offline regular sampling (n=1,799), the MBEs of both models are similar (2.6% vs. 5.4%). In addition, for the update of the machine learning model, the normalized mutual information (NMI) was applied. If the NMI between the simulation output and the measured data is less than 0.2, the model has to be updated. By the use of the NMI, the model can perform better prediction ($5.4%{\rightarrow}1.3%$).

• Journal of Korea Multimedia Society
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• v.16 no.2
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• pp.241-253
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• 2013

A Shipbuilding design program used in the shipbuilding industry tends to be shifted from the TRIBON software to the AM(AVEVA MARINE) software these days. Many large domestic shipbuilding companies have been using the AM instead of the TRIBON. New design software requires education programs for the necessary personnel. However the education programs for the AM are largely based on offline education. They suffer from constraints in space and time, and from high costs. This paper describes a development of online contents for the AM software that are focused for cyber education. It covers the applied process and the organization of the contents. The details of the development decisions including the security issue for the contents are described also.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.30 no.3C
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• pp.167-175
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• 2005

Privacy enforcement has been one of the most important problems in IT area. Privacy protection can be achieved by enforcing privacy policies within an organization's online and offline data processing systems. Traditional security models are more or less inappropriate for enforcing basic privacy requirements, such as purpose binding. This paper proposes a new approach in which a privacy control model is derived from integration of an existing security model. To this, we use an extended role-based access control model for existing security mechanism, in which this model provides context-based access control by combining RBAC and domain-type enforcement. For implementation of privacy control model we use GRBAC(Generalized Role-Based Access Control), which is expressive enough to deal with privacy preference. And small hospital model is considered for application of this model.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2006.11a
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• pp.3-16
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• 2006

In the age where the Internet changes everything, even the earth has become flat. The boarders between nations, locations, times, and industries are not maningful, and no single company can do the whole process well. Therefore, various types of 'Value network' and 'Relation web' emerge for moving first and fast learning. Bort the relationship maturity model (RMM) proposed and the partnership management initiatives at SKT demonstrate that the concept is important, and that the final goal can be reached only through a series of critical outcome at each phase. In particular, recognizing as core infrastructures various online/offline channels, deep trust, and rich communications is an important finding for a successful relationship management. Also, related literatures suggest the following key factors to be influential in more that two phases: professionalism including expertise, similarity, channel capacity. Based on these findings, future efforts need to be put on the research & development of related measurement and management tools. We do hope more people dance with their partners through these efforts.

• Journal of Engineering Education Research
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• v.20 no.3
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• pp.32-41
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• 2017

The $4^{th}$ industrial revolution refers to an era where machines capable of outperforming humans are created. In light of the 4th industrial revolution, university students are demanded problem solving abilities, critical thinking abilities, and problem discovering abilities as general and basic abilities. The need for changes in the university level communication education for engineering students remains imperative in this constantly changing social environment. The era where education is conducted only in classrooms is over. This paper discusses the need for diversified education such as the integration of online and offline education, the reinforcement of learning outside of the classroom as well as an education model that transcends formal and informal education such as games and activities that induce self-learning, both intentional and non-intentional learning, and the utilization of mass media and social networking systems. Through providing an education model that assesses and utilizes the data gained from the learning process provided above, this paper widens the perception of future education methods in the 4th industrial revolution.

• KIISE Transactions on Computing Practices
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• v.21 no.2
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• pp.144-147
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• 2015

Question Answering (QA) services can provide exact answers to user questions written in natural language form. This research focuses on how to build a QA system for a specific domain area. Online and offline QA system architecture of targeted domain such as domain detection, question analysis, reasoning, information retrieval, filtering, answer extraction, re-ranking, and answer generation, as well as data preparation are presented herein. Test results with an official Frequently Asked Question (FAQ) set showed 68% accuracy of the top 1 and 77% accuracy of the top 5. The contribution of each part such as question analysis system, document search engine, knowledge graph engine and re-ranking module for achieving the final answer are also presented.

• Journal of the Korean Dietetic Association
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• v.26 no.3
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• pp.208-220
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• 2020

In modern society, the online to offline (O2O) market has become an emerging market. Based on social and cultural phenomena, the importance of "FOODTECH" linked with mobile applications is growing in the food and restaurant industry. This study examined subjective food application service quality, perceived value, and post-purchase behavior intentions. According to this study, of foodtech service quality attributes, only information, mobility, and reliability had positive (+) relationships with perceived value. However, foodtech service quality attributes did not have a direct impact on behavior intentions. Perceived values had a positive (+) relationship with behavior intentions and showed full mediation effects between foodtech service quality attributes and behavior intentions. Based on these results, future research on the relationship among food application service quality, perceived value, and post-purchase behavior intentions is needed.

• The Korean Journal of Health Service Management
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• v.13 no.3
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• pp.105-114
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• 2019

Objectives: This study aimed to provide a comprehensive analysis of the relationship between the service quality of the Korea Health Industry Development Institute (KHIDI), along with the utilization of and customer satisfaction with its export supporting program, and the export performance of Korean pharmaceutical companies. Methods: An online and offline survey was conducted on Korean pharmaceutical companies that have used the export supporting program provided by KHIDI. Data on the service quality of KHIDI, utilization of and customer satisfaction with the export supporting program, and company export performance were collected via survey. Results: Results indicated that systemizing and reliability service factors of the export supporting program have a significant impact on customer satisfaction, and customer satisfaction has a significant impact on utilization of the export supporting program. Furthermore, customer satisfaction and utilization of the program have a significant impact on company expectations regarding future export performance. Conclusions: As a result, service quality, utilization, and customer satisfaction were found to affect Korean pharmaceutical company's expectations regarding their future export performance. The results of this study can significantly impact the development of export supporting programs.

• Journal of Information Processing Systems
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• v.17 no.1
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• pp.107-123
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• 2021

In an online shopping site or offline store, products purchased by each customer over time form the purchase history of the customer. Also, in most retailers, products have a product taxonomy, which represents a hierarchical classification of products. Considering the product taxonomy, the lower the level of the category to which two products both belong, the more similar the two products. However, there has been little work on similarity measures for sequences considering a hierarchical classification of elements. In this paper, we propose new similarity measures for purchase histories considering not only the purchase order of products but also the hierarchical classification of products. Unlike the existing methods, where the similarity between two elements in sequences is only 0 or 1 depending on whether two elements are the same or not, the proposed method can assign any real number between 0 and 1 considering the hierarchical classification of elements. We apply this idea to extend three existing representative similarity measures for sequences. We also propose an efficient computation method for the proposed similarity measures. Through various experiments, we show that the proposed method can measure the similarity between purchase histories very effectively and efficiently.