• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.488-490
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• 2003

Over the past few years, a number of studies have been made on web map services, which enable the GIS user to access spatial data through the web. They, however, have focused on only implementation techniques separately, such as map client implementation, map server implementation, communication between client and server, and the map data representation. Therefore, it is hard to share and practical use the spatial data, because they does not ensure interoperability in heterogeneous map servers. In this paper, we have designed and implemented the web map server with open architecture, which complies with the standard interfaces proposed by OpenGIS Consortium (OGC). In particular, we have extended the OGC’s interfaces for a map server to support one or more data sources. This paper has contributed to construction and practical use of web map services by newly proposing the method of implementation of a map server, which could be reused regardless of the types of data sources.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.10
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• pp.2750-2767
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• 2023

Live Commerce is rapidly emerging as a new paradigm for the digital economy and consumption activities in the post-COVID era. Many prior studies have been conducted on Live Commerce, but studies focusing on the characteristics of sources of Live Commerce are insufficient. This study aimed to investigate the human factors of sources that affect consumers' intention to use Live Commerce. For this purpose, based on an expanded TAM (Technology Acceptance Model) through literature research, variables were set, and a survey was conducted targeting Korean consumers who have experienced purchasing products through Live Commerce. Excluding unreliable data, 201 responses were utilized in the analysis of this study. At first, the measurement tools were checked through validity and reliability verification, and correlation analysis was conducted to identify the relationships between variables. Then, the proposed hypotheses were verified through multiple regression analysis. As a result, firstly, the human factors of sources had a positive effect on PU (Perceived Usefulness). Secondly, the PEOU (perceived ease of use) had a positive effect on both PU and CS (Consumer Satisfaction). Thirdly, PU had a positive effect on CS and ITU (Intention to Use). Finally, CS with Live Commerce had a positive effect on the ITU. Through this study, we try to provide an understanding of consumer behavior in the Live Commerce environment and contribute to enhancing the service provider's ability to offer high-quality Live Commerce content.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.28 no.4
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• pp.809-826
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• 2018

The entropy evaluation method for noise sources is one of the evaluation methods for the random number generator that is the essential element of modern cryptographic systems and cryptographic modules. The primary entropy evaluation methods outside of the country are more suitable to apply to hardware noise sources than software noise sources, and there is a difficulty in quantitative evaluation of entropy by software noise source. In this paper, we propose an entropy evaluation method that is suitable for software noise sources, considering characteristics of software noise sources. We select time-dependent noise sources that are software noise sources of Windows OS, and the heuristic analysis and experimental analysis are performed considering the characteristics of each time-dependent noise source. Based on these analyses, we propose an entropy harvest method from the noise source and the min-entropy estimation method as the entropy evaluation method for time-dependent noise sources. We also show how to use our entropy evaluation method in the Conditioning Component described in SP 800-90B of NIST(USA).

• Journal of the Korean Home Economics Association
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• v.45 no.5
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• pp.39-49
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• 2007

The purpose of this study was 1) to segment the middle-aged and elderly women's fashion market based on the clothing benefits sought by the buyer and 2) to compare the purchase criteria and fashion information sources among the segmented markets. The data were collected using a self-administered questionnaire in Seoul and its surrounding suburban areas. Factor analysis, ANOVA, Duncan test, and Dunnett's T3 tests were used to conduct the data analysis from 285 out of 300 questionnaires. The middle-aged and elderly women's fashion market was segmented into four groups; value-oriented, social status/trend-oriented, uniqueness-oriented, and protection/ convenience-oriented. All four groups were significantly different in terms of purchase criteria and fashion information sources. The social status/trend-oriented group used external purchase criteria, such as country of origin or brand and obtained fashion information from personal experience, advice from the salesperson, and celebrities. The protection/convenience-oriented group sourced fashion information from newspapers, the internet, and the radio. The uniqueness-oriented group put less importance on practical use/convenience criteria. Marketing strategies for these segmented markets were discussed.

• Journal of Korea Society of Digital Industry and Information Management
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• v.10 no.3
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• pp.143-149
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• 2014

This paper is on the blind signal separation(BSS) method by the geometric method. To separate the signal sources, we use Hough transform and BSS. Hough transform is a geometric method which let us know the local informations of the signal. We find the orientations of signals by Hough transform and know the number of signal sources. When the number of sensors is more than the number of sources. the BSS algorithm can separate the mixtures well in the time domain. This algorithm has a good performance in converging fast. We had checked up the quality of the algorithm after separating the mixed signals. The results of simulations show that this BSS method has the abnormal waveforms due to unconverging coefficients in the beginning, and stably has the separated waveforms which almost equal to the sources in the most period.

• The Journal of the Korea Contents Association
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• v.11 no.10
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• pp.217-233
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• 2011

In this study, we have examined how the potential users of IT convergence product use the external information sources for purchasing decision focusing on a case of smartphone. Although the specifications and price of IT convergence products, such as smartphone, tablet pc, and smart TV, are considered as major criteria for purchasing decision, the competitiveness of these factors have disappeared as many companies launch similar products in the market. External information sources play a significant role to differentiate the alternatives by offering value-added experience information. The effect of external information sources becomes stronger for experience and high-involvement product whose performance can be evaluated through only users' direct experience. In this study, we categorized the external information sources for smartphone into five; company ads, personal network, expert group, consumers, and media. Through an empirical study with potential smartphone users, we verified how these external information sources affect users' purchasing decision in the perspective of the perceived attributes of information source, quality of information, and individual's characteristics based on self-regulatory theory.

• Proceedings of the Optical Society of Korea Conference
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• 2009.10a
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• pp.323-324
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• 2009

In this paper, we use multi-point sources to illuminate the sample in digital holographic microscopy. The resolution of digital holographic microscopy is enhanced without shifting the CCD camera. The specimen is illuminated from many directions by using multi-point sources which are easily created by a lens-array. The high frequency information of specimen can be captured at a fixed position of CCD camera. All information is then synthesized to increase the resolution.

• The Research Journal of the Costume Culture
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• v.27 no.6
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• pp.569-581
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• 2019

This study investigated differences in cosmetic buying behavior and personal characteristics between cosmetic involvement groups. Cosmetics buying behavior refers to reason for using cosmetics, use of information sources, selection criteria, place of purchase, use/non-use of cosmetics, purchase propensity, purchase frequency, purchase amount, and satisfaction with cosmetics. Personal characteristic contains pursuing image, age, residence area, job, and average household monthly income. Data was collected from 5-10 December 2016, from 308 females in their 20s using an internet survey. The analysis included descriptive statistics, t-tests, Mann-Whitney U tests, and chi-square tests. The respondents were divided into two groups (a high cosmetic involvement group and a low cosmetic involvement group) according to the degree of cosmetic involvement. The results of t-tests revealed significant differences between groups in terms of reasons for using cosmetics, use of information sources, selection criteria, purchase frequency, place of purchase, use/non-use of cosmetics, and satisfaction with cosmetics. The results of Mann-Whitney U tests highlighted a significant difference in purchase frequency between both groups. The results of chi-square tests indicated significant differences in purchase frequency, purchase amount, pursuing image, and average household monthly income. However, no significant differences were evident in terms of purchase propensity, age, job, and area of residence between groups.

• International journal of advanced smart convergence
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• v.12 no.4
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• pp.104-110
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• 2023

In the user-centered design paradigm, information systems are created entirely tailored to the users who will use them. When the functions of a complex system meet a simple user interface, users can use the system conveniently. While web personalization services are emerging as a major trend in portal services, portal companies are competing for a second service, such as introducing 'integrated communication platforms'. Until now, the role of the portal has been content and search, but this time, the goal is to create and provide the personalized services that users want through a single platform. Personalization service is a login-based cloud computing service. It has the characteristic of being able to enjoy the same experience at any time in any space with internet access. Personalized web services like this have the advantage of attracting highly loyal users, making them a new service trend that portal companies are paying attention to. Researchers spend a lot of time collecting research-related information by accessing multiple information sources. There is a need to automatically build interest information profiles for each researcher based on personal presentation materials (papers, research projects, patents). There is a need to provide an advanced customized information service that regularly provides the latest information matched with various information sources. Continuous modification and supplementation of each researcher's information profile of interest is the most important factor in increasing suitability when searching for information. As researchers' interest in unstructured information such as technology markets and research trends is gradually increasing from standardized academic information such as patents, it is necessary to expand information sources such as cutting-edge technology markets and research trends. Through this, it is possible to shorten the time required to search and obtain the latest information for research purposes. The interest information profile for each researcher that has already been established can be used in the future to determine the degree of relationship between researchers and to build a database. If this customized information service continues to be provided, it will be useful for research activities.

• Journal of the Korean Society for information Management
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• v.26 no.3
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• pp.435-449
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• 2009

Rapid change in information use environments that corresponds with the development of new technologies requires a new perspective in examining information source uses and information services. As understanding information seeking behaviors is an essential element for improving information services, the changing information seeking behaviors should be examined in a timely manner. While several prior studies focus on this topic, few studies deal with medical doctors' information seeking behaviors especially focusing on information seeking in both medical practices and research. Thus, this study aims to explore the information seeking behaviors of medical doctors who are both medical practitioners and researchers. Data were obtained by open-ended and semi-structured in-depth interviews during one month from April to May, 2009. The interview-question topics ranged from research contexts, medical-practice-related information seeking behaviors, favorable information sources, and information search process and satisfaction. Findings include that, for research purpose, digital journal articles accessed through the PubMed were more favorable sources while, for practice purpose, printed textbooks were preferred. Overall, the most-frequently-used sources were PubMed and articles because medical doctors regard the reliability and authority very highly.