• Journal of Korean Society of Archives and Records Management
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• v.19 no.4
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• pp.87-114
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• 2019

With the increase of the establishment of temporary institutions in accordance with social issues, the importance of managing records that reflect the characteristics of temporary institutions is highlighted. However, because of the ambiguity of laws related to records management, the limited number of employees, and the lack of awareness of records management by temporary institutions, the records management has not been carried out properly. Therefore, this study seeks to identify the gaps between statutes and practices and derive improvement measures for them. As such, the concept and characteristics of temporary institutions were identified through requests for disclosure of information. Moreover, the status of the administrative committee and the records management status of various temporary organizations were determined as well. Finally, improvement measures were drawn and proposed in terms of law, system, and record management by selecting relevant institutions in accordance with the Act and conducting in-depth interviews. This study is significant as it monitored the entire process of managing the records of existing time organizations and will serve as the basis for efficiently managing the future ones.

• Convergence Security Journal
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• v.21 no.1
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• pp.191-200
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• 2021

Artificial intelligence technology is developing in an environment where a lot of data is produced due to the development of computing technology, a cloud environment that can store data, and the spread of personal mobile phones. Among these artificial intelligence technologies, the deep neural network provides excellent performance in image recognition and image classification. There have been many studies on image detection for forest fires and fire prevention using such a deep neural network, but studies on detection of cigarette smoking were insufficient. Meanwhile, military units are establishing surveillance systems for various facilities through CCTV, and it is necessary to detect smoking near ammunition stores or non-smoking areas to prevent fires and explosions. In this paper, by reflecting experimentally optimized numerical values such as activation function and learning rate, we did the detection of smoking pictures and non-smoking pictures in two cases. As experimental data, data was constructed by crawling using pictures of smoking and non-smoking published on the Internet, and a machine learning library was used. As a result of the experiment, when the learning rate is 0.004 and the optimization algorithm Adam is used, it can be seen that the accuracy of 93% and F1-score of 94% are obtained.

• The Korean Journal of Archival Studies
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• no.32
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• pp.45-78
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• 2012

The significance of Presidential Impeachment in 2004 is subject to interpretations in many different contexts, but its nature as its justice was the constitutional trial by the nation's impeachment system. This study set out to compare and analyze the understanding of the event centered around its nature as "an impeachment event as a public activity" and the records related to it. For that purpose, the study attempted to analyze the impeachment event to understand it as a public activity and examined and analyzed the records of the impeachment event in the public domain through personal visit, phone interview, and request of information disclosure based on the analysis results. An impeachment event as a public activity can be understood as an activity carried out by the National Assembly, which is to issue a motion for impeachment under the norms of the nation's impeachment system, and Constitutional Court, which is responsible for impeachment trial, through their unique rights prescribed in the Constitution. The important subjects of such a public activity included the accused president, the acting presidential system created by the motion for impeachment, and the National Election Commission that provided a decisive ground for impeachment. It was confirmed that the records, which are legal requirements, were well created and have been preserved and managed in the public domain. However, it was difficult to conclude that the records of the impeachment event were thoroughly created in terms of content in relation to affairs as they mainly covered the superficial treatment processes and the results of explicit activities. There was, in particular, the absence of records showing the context of activity.

• The Korean Journal of Archival Studies
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• no.39
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• pp.139-191
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• 2014

Government publications, as the important media of communication between the public and the government, have served as informational sources to provide a variety of information. Although technological development led into sharp changes in the types and services of government publications, the Korean service of government publications has yet to respond to the changes properly. The web service of government publications is provided only in the archives-based way with no consideration of the characteristics of the government publications, so that it is considerably difficult to use the service. Therefore, based on literature research, request of information disclosure, website survey, and interviews, this work overhauled the web service of government publications provided by the National Archives of Korea, and suggested an improvement plan of the service. This study is meaningful in the point that it suggested an improvement plan for the web service of government publications, which have been managed as a sort of archives but have been placed in the blind spot of service, through interviews with the persons in charge of government publications in relevant public organizations and the National Archives of Korea.

• Journal of the Korean Society for information Management
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• v.36 no.1
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• pp.7-30
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• 2019

Open Science Project, which enables users to access and utilize public research results in a digital format, is being actively promoted overseas, and American university libraries are interested in research support service. Among the three OECD implementation measures, 'capacity building' can be effectively prepared through librarians' research support services. Therefore, this study investigated the policy of research support service implemented in leading American 13 university libraries in preparation for the open science era focusing on the recent literatures and library websites. Based on the best cases of research support service of American university libraries, I analyzed the homepage of 19 domestic research universities' library focusing on scholarly communication service and suggested improvements. In Korea, open access service and management of research data are lacking in terms of experience and expertise. This study result can be used as a basic reference when establishing the research support service plan needed in the open science era in the university library and can contribute to the improvement of the research ability of domestic researchers by introducing internationally competitive research support services.

• Journal of Digital Convergence
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• v.17 no.5
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• pp.137-143
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• 2019

Fake news is a form of misinformation that has the advantage of rapid spreading of information on media platforms that users interact with, such as social media. There has been a lot of social problems due to the recent increase in fake news. In this paper, we propose a method to detect such false news. Previous research on fake news detection mainly focused on text analysis. This research focuses on a network where social media news spreads, generates qualities with DeepWalk, a network embedding method, and classifies fake news using logistic regression analysis. We conducted an experiment on fake news detection using 211 news on the Internet and 1.2 million news diffusion network data. The results show that the accuracy of false network detection using network embedding is 10.6% higher than that of text analysis. In addition, fake news detection, which combines text analysis and network embedding, does not show an increase in accuracy over network embedding. The results of this study can be effectively applied to the detection of fake news that organizations spread online.

• Journal of Internet Computing and Services
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• v.20 no.5
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• pp.27-36
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• 2019

In this study, experiments on the improvement of the emotion classification, analysis and accuracy of EEG data were proceeded, which applied DEAP (a Database for Emotion Analysis using Physiological signals) dataset. In the experiment, total 32 of EEG channel data measured from 32 of subjects were applied. In pre-processing step, 256Hz sampling tasks of the EEG data were conducted, each wave range of the frequency (Hz); Theta, Slow-alpha, Alpha, Beta and Gamma were then extracted by using Finite Impulse Response Filter. After the extracted data were classified through Time-frequency transform, the data were purified through Independent Component Analysis to delete artifacts. The purified data were converted into CSV file format in order to conduct experiments of Machine learning algorithm and Arousal-Valence plane was used in the criteria of the emotion classification. The emotions were categorized into three-sections; 'Positive', 'Negative' and 'Neutral' meaning the tranquil (neutral) emotional condition. Data of 'Neutral' condition were classified by using Cz(Central zero) channel configured as Reference channel. To enhance the accuracy ratio, the experiment was performed by applying the attributes selected by ASC(Attribute Selected Classifier). In "Arousal" sector, the accuracy of this study's experiments was higher at "32.48%" than Koelstra's results. And the result of ASC showed higher accuracy at "8.13%" compare to the Liu's results in "Valence". In the experiment of Random Forest Classifier adapting ASC to improve accuracy, the higher accuracy rate at "2.68%" was confirmed than Total mean as the criterion compare to the existing researches.

• Tunnel and Underground Space
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• v.30 no.6
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• pp.509-518
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• 2020

This study constructed a new simulation platform, including mesh generation process, numerical simulation, and post-processing for results analysis based on exploration data to perform real-scale numerical analysis considering the actual geological structure efficiently. To build the simulation platform, we applied for open-source programs. The source code is open to be available for code modification according to the researcher's needs and compatibility with various numerical simulation programs. First, a three-dimensional model(3D) is acquired based on the exploration data obtained using a drone. Then, the domain's mesh density was adjusted to an interpretable level using Blender, the free and open-source 3D creation suite. The next step is to create a 3D numerical model by creating a tetrahedral volume mesh inside the domain using Gmsh, a finite element mesh generation program. To use the mesh information obtained through Gmsh in a numerical simulation program, a converting process to conform to the program's mesh creation protocol is required. We applied a Python code for the procedure. After we completed the stability analysis, we have created various visualization of the study using ParaView, another open-source visualization and data analysis program. We successfully performed a preliminary stability analysis on the full-scale Dokdo model based on drone-acquired data to confirm the usefulness of the proposed platform. The proposed simulation platform in this study can be of various analysis processes in future research.

• Korean Journal of Construction Engineering and Management
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• v.22 no.2
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• pp.106-118
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• 2021

Global governments and initiatives have attempted and integrated various organizational efforts to implement the 17 Sustainable Development Goals (SDGs), presenting a new paradigm of sustainable development to address global issues (climate change, poverty eradication, and human rights). Recently, investment in sustainable finance has expanded to finance the attainment of goals set out in the Paris Agreement and SDGs. Non-financial factors such as environment, social responsibility, and governance (ESG) have become intangible assets that determine the future competitiveness and profitability of companies. Domestic and foreign institutional investors and asset management companies have been expanding their investments based on the ESG performance of companies. In this study, we aim to derive international standards and initiatives that require disclosure of information on corporate social responsibility activities and ESG performance and analyze construction companies' ESG activities and performance levels. The results of this study can be used as the basis to develop platforms for the construction industry ESG ecosystem and the measurement and management of intangible assets. These could ultimately contribute to overcoming the crisis in the future due to the outbreak of the COVID-19 pandemic, fostering net-zero emissions, and preventing fatal workplace accidents in the construction industry.

• Food Science and Industry
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• v.51 no.3
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• pp.174-184
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• 2018

The impact of regulations on industrial activities is significant. Because the food industry has to observe given obligations and bear costs and expenses resulted from complying with applicable food safety regulations. Meanwhile, A government drafts the regulatory impact analysis report prior to enactment, amendment or reinforcement of any regulations. The analysis powered by objective and scientific methodologies enable a government to judge whether a particular regulation will be good or bad for the society. An effective policy implementation in practice and cost-bearing is entirely up to industries. Moreover, opportunity cost and actual cost relating to or arising from regulatory compliance will be estimated only by the respective industries. Therefore, the food Industry needs to collect and accumulate the said information and also to disseminate their hardships and financial burdens. Objective and practical information will encourage a government to set out regulatory frameworks that rational policy making.