• The Journal of Korean Institute of Information Technology
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• v.17 no.5
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• pp.129-136
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• 2019

Many IoT devices like sensors lack screen and input devices, thus making them hard to meet the consent conditions that GDPR requires. This is acting as a legal barrier for further advancement in the business field. In this paper, we designed the process for consent of personal information collection that meets the legal conditions. In this design, user's personal data is received in an encrypted form by data collecting server first. The encrypted personal data can be decrypted after associating with user agent based on the consent procedure of the collection of personal information. During the consent procedure, user agent understands the privacy policy about personal information collection and offers the key to decrypt the data. This kind of personal information collection agreement procedure will satisfy the transparent and freely given consent requirements of GDPR. Thus, we can speculate from here that the proposed procedure will contribute to the evolution of IoT business area dealing with personal information.

• The Korean Journal of Archival Studies
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• no.72
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• pp.5-32
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• 2022

Collecting, archiving, and using civil records in the private sector is recognized as part of the legitimate rights that citizens should have in civil society. However, the national records management system does not have a balance between private records management and public records management, and private records are excluded from appropriate government support. Considering that civilian records cannot be restored or restored once lost or damaged, it is clear that national attention and support are needed. This study discusses the need for institutional support for private records and has two main directions for support policies: sustainable support for the revitalization and promotion of civic records culture, and within the region for the sustainable management and preservation of private records. It was identified that a stable organization and physical space support were needed for the collection and preservation of private records. And to put it into practice, the conceptual categories and current status of private records management, and the characteristics of private records management that need to be considered when establishing a private records management policy were examined.

• Journal of the Korea Society of Computer and Information
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• v.28 no.7
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• pp.47-55
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• 2023

This paper presents a method for predicting the threat index of combat systems using Gradient Boosting Regressors and Support Vector Regressors among machine learning models. Currently, combat systems are software that emphasizes safety and reliability, so the application of AI technology that is not guaranteed to be reliable is restricted by policy, and as a result, the electrified domestic combat systems are not equipped with AI technology. However, in order to respond to the policy direction of the Ministry of National Defense, which aims to electrify AI, we conducted a study to secure the basic technology required for the application of machine learning in combat systems. After collecting the data required for threat index evaluation, the study determined the prediction accuracy of the trained model by processing and refining the data, selecting the machine learning model, and selecting the optimal hyper-parameters. As a result, the model score for the test data was over 99 points, confirming the applicability of machine learning models to combat systems.

• Convergence Security Journal
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• v.22 no.1
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• pp.39-54
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• 2022

Recently, the importance of collecting, analyzing, and real-time sharing of various cybersecurity data has emerged in order to effectively respond to intelligent and advanced cyber threats. To cope with this situation, Korea is making efforts to expand its cybersecurity data sharing system, but many private companies are unable to participate in the cybersecurity data sharing system due to a lack of budget and professionals to collect cybersecurity data. In order to solve such problems, this paper analyzes the research and development trends of existing domestic and foreign cyber security data sharing systems, and based on that, propose a cybersecurity data sharing system model with a hierarchical structure that considers the size of the organization and a step-by-step security policy that can be applied to the model. In the case of applying the model proposed in this paper, it is expected that various private companies can expand their participation in cybersecurity data sharing systems and use them to prepare a response system to respond quickly to intelligent security threats.

• Journal of Korean Society of Archives and Records Management
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• v.23 no.4
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• pp.91-111
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• 2023

This study aims to analyze research topics within the domain of archival studies by examining bibliographic information from academic papers in archival science, library and information science, and history. After collecting 1,173 academic papers, network analysis was performed based on author keyword data, topic modeling was conducted from abstract data, and the analysis results were organized over time. The network analysis results based on author keywords confirmed that the research topic network actively changed according to variations in major laws and policies. Moreover, topic modeling from the abstract showed that the subjects of the entire academic paper were divided into "Records Management," "Archiving," and "National Records Policy." Notably, from 2002 to 2009, "Records Management" and "National Records Policy" were relatively dominant, but it has achieved balanced quantitative growth since 2009, peaking in 2019.

• The Journal of the Korea Contents Association
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• v.16 no.11
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• pp.253-263
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• 2016

We analyzed the social issue 'image of the elderly' using Big Data and Social Network Analysis. First, we analyzed the words extracted by the text mining technique by inputting the keyword 'elderly'. As a result of analysis, the image of the elderly viewed through media such as cafes, blogs, etc. Representing the trend of the public was using the word 'Senior' the most. The image of the elderly is expressed using the word having the highest frequency in the top 10, "The elderly are 'Senior' people who are respected by society, they are organized to earn money, to earn their qualifications, to health, and to 'Seniors' who desire to work healthy up to 100 years old". The purpose of this study is to differentiate from the existing analysis method by analyzing the macro-level image of the elderly including the social discourse by collecting vast amount of data and analyzing it with the social networking technique. When the image of the elderly that the public perceives is positively expressed as 'Senior', it can be said that the direction of the current elderly policy is evaluated as a desirable direction. On the other hand, it was able to feel the 'desire' of the public who wanted to be evaluated. Therefore, the policy direction of the elderly to be applied in the future should be the policy that enables the elderly to be perceived as 'Necessary existence' in society by taking on social roles. In addition, we proposed to implement the policy of the elderly that reflects priorities such as job creation, welfare, and alienation that can activity and maintain health.

• Journal of Korean Library and Information Science Society
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• v.52 no.3
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• pp.1-20
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• 2021

This study is the most important component in establishing the court library as the best legal library in Korea responsible for professional legal services. A perception survey was conducted on the target. As a result, first, looking at the collection direction based on the needs of general users, in the case of collection types, preference in the order of books, electronic materials, and non-books should be considered. It seems to be necessary to plan a collection development policy reflecting the high preference for books. In addition, in the non-books section, the preference for non-book materials in the form of video rather than audio is much higher, and in the case of language, domestic books should be collected mainly. Second, looking at the collection direction based on the needs of experts, the satisfaction of experts is generally low, so it seems that a collection development policy should be established to improve this. As for the type of information source, preference was shown in the order of electronic materials, books, and non-books. There is a need. The future collection direction should be based on the preference shown in the order of procedural law, specialized field, basic substantive law, and legal series. Also, when collecting the same book, electronic form of legal data should be considered rather than printed. In addition, it is necessary to collect collections mainly from domestic books, and then, it is expected that the scope of collection should be expanded to prioritize English and American books, Japanese books, and German books.

• Journal of Information Technology Applications and Management
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• v.27 no.1
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• pp.59-73
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• 2020

There is a growing interest in convergence. National R & D is also providing various policies and institutional support to promote convergence research. Convergence research, however, does not clearly specify its characteristics at the academic and government levels. This research proceeds with the process of collecting, refining, analyzing, modeling, verifying and visualizing national R & D data through the National Science and Technology Information Service (NTIS). The method is to derive the convergence research characteristics and to derive through text mining, focusing on the unstructured information of national R & D project data. The study confirmed that there was a difference in perception between the definition of converged research and the research site. In order to improve this, the research suggested that convergence among research subjects, collaboration among research topics reflecting various backgrounds and characteristics of researchers, and analysis of characteristics of convergence research using information were suggested in the process of establishing convergence policy.

• Journal of Digital Convergence
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• v.10 no.1
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• pp.371-378
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• 2012

Through sensor nodes it can obtain behavior, condition, location of objects. Generally speaking, sensor nodes are very limited because they have a battery power supply. Therefore, for collecting sensor data, efficient energy management is necessary in order to prolong the entire network survival. In this paper, we propose a method that increases energy efficiency to be self-configuring by distributed sensor nodes per cluster. The proposed method is based on the ANTCLUST. After measuring the similarity between two objects it is method that determine own cluster. It applies a colonial closure model of ant. The result of an experiment, it showed that the number of alive nodes increased 27% than existing clustering methods.

• Journal of Korean Society for Quality Management
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• v.46 no.3
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• pp.707-716
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• 2018

Purpose: This study aims to analyze the management performance and production efficiency of strawberry farmers who introduced smart farming, one of the primary symbols of the fourth industrial revolution in the agricultural sector. Methods: We conducted an empirical survey of strawberry farms using smart farming and analyzed production efficiency using DEA method. Results: First, difficulties for strawberry farmers introducing smart farming included time and money spent on parts replacement and additional costs due to compatibility problems with existing facilities after the adoption. Second, strawberry farmers using smart farming increased their total income by producing higher yield and improving quality thanks to the competent growth management. Third, the analysis of production efficiencies before and after smart farming found improvement in technical efficiency, pure technical efficiency, and scale efficiency. But, the gaps in technical and scale efficiencies among the farms widened. Conclusion: Based on the results above, following policy suggestions are offered. First, an environment control technology suitable for strawberry farming needs to be developed. Second, the smart farming technology needs to be standardized by the government. Third, new smart farm models need to be developed to accommodate to the facilities and environment in Korea through collecting big data including high-quality data on the environment, growth, and yield. Fourth, continuing education needs to be provided to narrow the gap in smart farming technology among strawberry farmers.