• Journal of KIISE:Computing Practices and Letters
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• v.10 no.4
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• pp.337-350
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• 2004

Because of a security problem and not enough IPv4 address space, the home network has been made up of private network, and it has been separated from Internet. This fact prevents people in Internet from controlling and monitoring home appliances. So, this paper designs and Implements the UPnP Proxy System which offers functions for users to control and monitor home appliances. When users are in the outside of the home network, they do not know which devices were connected in the home network because the advertisement messages of UPnP devices would not be delivered to the outside of the home network. Also, users cannot access devices directly, and their control messages are not delivered into the home network. So, this paper designs and implements the UPnP Proxy System to solve these problems. The merit of the system is that users can control and monitor home appliances in realtime using presentation web documents with the HTTP push technology.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.9
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• pp.1199-1205
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• 2021

In the era of big data, not only structured data well organized in databases, but also the Internet, social network services, it is very important to effectively analyze unstructured big data such as web documents, e-mails, and social data generated in real time in mobile environment. Big data analysis is the process of creating new value by discovering meaningful new correlations, patterns, and trends in big data stored in data storage. We intend to summarize and visualize the analysis results through frequency analysis of unstructured article data using R language, a big data analysis tool. The data used in this study was analyzed for total 104 papers in the Mon-May 2021 among the journals of the Korea Institute of Information and Communication Engineering. In the final analysis results, the most frequently mentioned keyword was "Data", which ranked first 1,538 times. Therefore, based on the results of the analysis, the limitations of the study and theoretical implications are suggested.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.15 no.1
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• pp.3-15
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• 2005

As a large quantity of information is presented in XML format on the web, there are increasing demands for XML security. Research area or n security is about Encryption Digital signature, Key management and Access control. until now research on U security has been focused on the security of data network using digital signature and encryption technology. As XML data become extensive and complex XML security comes to involve not only network security but also managerial security. Managerial security is guaranteed through access control. But XML Encryption supports simple network security. So it can't support multiple users and multiple access control policies. In this paper, we propose an integration method of encryption and access control policy for securing XML documents. This methodology can supper multiple authorizations of multiple users with integrating access control. And this can reduce the cost of evaluation process of the existing complicated access authorization with pre-processing.

• Analytical Science and Technology
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• v.34 no.3
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• pp.99-114
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• 2021

Substance identification is the first step in implementing chemical legislation, such that subsequent hazard and risk assessments can be accurately followed. Based on the web page and related guidance documents of the European Chemicals Agency and available consortia information, the procedure for substance identification carried out in Registration, Evaluation, Authorization and Restriction of Chemicals (REACH) is surveyed. In this study, the importance of substance identification and substance sameness check, as well as the necessity of generating a substance identity profile (SIP) are considered. In addition, the SIPs of several substance types are presented, which focused on information utilization in the instrumental analysis results and organization of information to generate the SIP. Analytical science can contribute to the accurate and effective implementation of chemical regulation at the starting stage of substance identification. However, understanding of the regulation and consequent final wrap-up of analytical results as a SIP should be followed for communication among registrants in Substance Information Exchange Forum (SIEF) as well as with related authorities.

• The Journal of the Convergence on Culture Technology
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• v.8 no.4
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• pp.375-380
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• 2022

The purpose of this study is to find out consumers' perception and meaning of convenience store convenience food by using big data. For this study, NNAVER and Daum analyzed news, intellectuals, blogs, cafes, intellectuals(tips), and web documents, and used 'convenience store convenience food' as keywords for data search. The data analysis period was selected as 3 years from January 1, 2019 to December 31, 2021. For data collection and analysis, frequency and matrix data were extracted using TEXTOM, and network analysis and visualization analysis were conducted using the NetDraw function of the UCINET 6 program. As a result, convenience store convenience foods were clustered into health, diversity, convenience, and economy according to consumers' selection attributes. It is expected to be the basis for the development of a new convenience menu that pursues convenience and convenience based on consumers' meaning of convenience store convenience foods such as appropriate prices, discount coupons, and events.

• The Journal of Internal Korean Medicine
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• v.42 no.6
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• pp.1303-1318
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• 2021

Objectives: The aim of this study was to examine the debate on the use of medical devices between Western Medicine and Korean Medicine, as this is one of the greatest conflicts in Korea's medical profession. Judicial precedents and interpretations of authority serve as regulations because medical affairs law states that Korean Medicine practices are ambiguous. Method: We conducted a search in the Korean RISS, OASIS, and DBPIA databases using several keywords associated with medical devices, Korean Medicine, and Korean Medicine Doctors. The search period was until November 5 2021. The retrieved papers were classified according to the selection and exclusion criteria by checking the title, abstract, and text. For precedents, searches were done regarding comprehensive legal information, etc., and in the case of non-disclosure precedents, we requested access to the precedents by web-court requests. Results: A total of 80 documents were found as a result of the search, and 13 publications were included in the study. The selected publications were classified and analyzed by this research team into Korean medicine, Western medicine, and legal or state agency research. In the existing literature and judgments, the arguments that played a major role changed depending on the time the judgment was made. "Social conventions", "curriculum", "academic principles", and "health and hygiene dangers" were the key arguments. Conclusions: Further studies will be needed that can comprehensively arrange the existing literature and clinical results, and continuous study will be needed to verify that the use of medical devices by Korean medicine doctors is helpful for prognosis and accurate treatment of their patients.

• Journal of the Korean Society of Food Culture
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• v.38 no.1
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• pp.1-14
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• 2023

This study was conducted to explore the change in the market issues on HMR (Home Meal Replacements) using local foods after the COVID-19 outbreak. Online text data were collected from internet news, social media posts, and web documents before (from January 2016 to December 2019) and after (from January 2020 to November 2022) the COVID-19 outbreak. TF-IDF analysis showed that 'Trend', 'Market', 'Consumption', and 'Food service industry' were the major keywords before the COVID-19 outbreak, whereas 'Wanju-gun', 'Distribution', 'Development', and 'Meal-kit' were main keywords after the COVID-19 outbreak. The results of topic modeling analysis and categorization showed that after the COVID-19 outbreak, the 'Market' category included 'Non-face-to-face market' instead of 'Event,' and 'Delivery' instead of 'Distribution'. In the 'Product' category, 'Marketing' was included instead of 'Trend'. Additionally, in the 'Support' category, 'Start-up' and 'School food service' appeared as new topics after the COVID-19 outbreak. In conclusion, this study showed that meaningful change had occurred in market issues on HMR using local foods after the COVID-19 outbreak. Therefore, governments should take advantage of such market opportunity by implementing policy and programs to promote the development and marketing of HMR using local foods.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.146-149
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• 2022

With internet development, many peoples use their email to exchange documents, register for web services, and much more. Some individuals/organizations (including educational institutions) use their own domain name for email instead of a domain provided by commercial email services. However, suppose the domain used for custom email expires. In that case, other individuals/organizations can reuse the domain, and the new domain owner can send and receive all emails incoming to the domain. It makes us concerned about Privacy violations. Email that new domain owners can look into also contains sensitive emails like password reset notifications, credit card statements, order history, and more. In this research, we would like to describe the privacy violations caused by the expired domain used for email that did not remove all dependencies of email users and propose a solution.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.164-167
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• 2022

In table Machine comprehension, the knowledge required for language models or the structural form of tables changes depending on the domain, showing a greater performance degradation compared to text data. In this paper, we propose a pre-learning data construction method and an adversarial learning method through meaningful tabular data selection for constructing a pre-learning table language model robust to these domain changes in table machine reading. In order to detect tabular data sed for decoration of web documents without structural information from the extracted table data, a rule through heuristic was defined to identify head data and select table data was applied. An adversarial learning method between tabular data and infobax data with knowledge information about entities was applied. When the data was refined compared to when it was trained with the existing unrefined data, F1 3.45 and EM 4.14 increased in the KorQuAD table data, and F1 19.38, EM 4.22 compared to when the data was not refined in the Spec table QA data showed increased performance.

• Asia-Pacific Journal of Business
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• v.14 no.3
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• pp.241-250
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• 2023

Purpose - The purpose of this study was to investigate the perception of 'unmanned cafes' on the network through big data analysis, and to identify the latest trends in rapidly changing consumer perception. Based on this, I would like to suggest that it can be used as basic data for the revitalization of unmanned cafes and differentiated marketing strategies. Design/methodology/approach - This study collected documents containing unmanned cafe keywords for about three years, and the data collected using text mining techniques were analyzed using methods such as keyword frequency analysis, centrality analysis, and keyword network analysis. Findings - First, the top 10 words with a high frequency of appearance were identified in the order of unmanned cafes, unmanned cafes, start-up, operation, coffee, time, coffee machine, franchise, and robot cafes. Second, visualization of the semantic network confirmed that the key keyword "unmanned cafe" was at the center of the keyword cluster. Research implications or Originality - Using big data to collect and analyze keywords with high web visibility, we tried to identify new issues or trends in unmanned cafe recognition, which consists of keywords related to start-ups, mainly deals with topics related to start-ups when unmanned cafes are mentioned on the network.