• The Journal of Sustainable Design and Educational Environment Research
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• v.21 no.1
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• pp.24-39
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• 2022

This study was conducted to provide implications so that teachers' voices are heard in the social consensus for future schools by exploring teachers' needs for future school spaces. A qualitative study was performed to listen to teachers' voices directly, and 10 teachers from "A" Elementary School (tentative name) participated in the study. The study 1) recognized the emergence of learning that transcends time and space, and emphasized the importance of an ICT-based informatization environment that can support such learning, 2) confirmed the characteristics of futuristic school spaces centered on "tradition" and "technology," 3) recognized the importance of learning community spaces, 4) emphasized "variable" classrooms for flexible teaching and learning activities, and 5) confirmed the need to introduce eco-friendly elements and provide support for those who may be vulnerable in high-tech learning environments. Finally, the study concluded that teachers need systematic education and experiences that contain sufficient important discourses related to future schools such as "eco-friendliness" and "connection with local communities".

• Journal of the Korea Institute of Information Security & Cryptology
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• v.32 no.5
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• pp.915-932
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• 2022

According to the Personal Information Protection Act and Pseudonymization Guidelines, the mapping is processed to the hash value of the combination key generation items including Salt value when different combination applicants wish to combine. Example of combination key generation items may include personal information like name, phone number, date of birth, address, and so on. Also, due to the properties of the hash functions, when different applicants store their items in exactly the same form, the combination can proceed without any problems. However, this method is vulnerable to combination in scenarios such as address changing and renaming, which occur due to different database update times of combination applicants. Therefore, we propose a privacy preserving combination key generation scheme robust to updates of items used to generate combination key even in scenarios such as address changing and renaming, based on the thresholds through probabilistic record linkage, and it can contribute to the development of domestic Big Data and Artificial Intelligence business.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.483-486
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• 2021

With the explosive increase in data, the 'big data era' has arrived, focusing on deriving new values and insights through data. With the development of data analysis technology, the importance of data analysis and utilization in the field of diagnosis and treatment as well as prevention is expanding, while the use of big data is emerging in the healthcare field. Moreover, as the three data-related laws (Personal Information Protection Act, Information and Communication Network Act, and Credit Information Act) were passed in January 2020, it became possible to use a wide range of big data through pseudonym information. However, the use of healthcare big data is still struggling due to various policies and regulations, inconsistent data quality, and the absence of specialized personnel. Therefore, in this study, examines the current state of use of big data in the healthcare field, and analyzes the challenges, overseas cases, plans, and expected effects for activation of healthcare big data.

• Industry Promotion Research
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• v.8 no.3
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• pp.201-210
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• 2023

This study is based on data ecology theory and takes Chinese local governments' open public data as the research object. Data asset value assessment methods are compared from a new perspective of data business operations. The results show that the assessment model constructed using the hierarchical analysis method (AHP) can more objectively reflect the commercial value of government open data assets than the traditional cost, revenue and market methods, has the advantage of a comprehensive assessment of data value index, and better reflects the findings of a comprehensive index of regional data value. The data show that the local government data value assessment index is positively proportional to the region's digital economy development index, highlighting the driving effect on the digital economy. The results of the study provide a good help for the identification of local government data value rights. The research and practice of promoting the construction of data innovation and data business operation models, improving social well-being and promoting the rapid development of the digital economy to achieve data realisation provides a good reference.

• The Journal of Bigdata
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• v.7 no.2
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• pp.75-90
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• 2022

Recently, complex and sophisticated analysis of transportation is required due to changes in the socioeconomic environment and the development of bigdata technology. Especially, the revision of 3 laws including PERSONAL INFORMATION PROTECTION ACT makes it possible to combine various types of mobility data. But strengthen personal information protection makes inefficiency in utilizing mobility bigdata. In this paper, we proposed the "Virtual fusion methdology via mobility bigdata" which is a methodology for indirect data fusion for various mobility bigdata such as mobile data and transportation card data, in order to resolve legal restrictions and enable various transportation analysis. And we also analyzed regional bus passenger in Seoul capital area and Cheongju city with aforementioned methodology for verification. This methdology could analyze behavioral pattern of passenger with the MCGM(Mobility Comprehensive Genetic Map), graph with position and time, making with mobile data. Consquently, using MCGM, which is a result for indirect data fusion, makes it possible to analyze various transportation problems.

• Journal of the Korean Society of Radiology
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• v.83 no.4
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• pp.759-770
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• 2022

The importance of ethics in research and the use of artificial intelligence (AI) is increasingly recognized not only in the field of healthcare but throughout society. This article intends to provide domestic readers with practical points regarding the ethical issues of using radiological images for AI research, focusing on data security and privacy protection and the right to data. Therefore, this article refers to related domestic laws and government policies. Data security and privacy protection is a key ethical principle for AI, in which proper de-identification of data is crucial. Sharing healthcare data to develop AI in a way that minimizes business interests is another ethical point to be highlighted. The need for data sharing makes the data security and privacy protection even more important as data sharing increases the risk of data breach.

• Journal of Korean Philosophical Society
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• v.116
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• pp.225-256
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• 2010

The two school $M{\bar{a}}dhyamika$ and $Yog{\bar{a}}c{\bar{a}}ra$ act as a representative of $Mah{\bar{a}}y{\bar{a}}na$ Buddhism in India. But the two school disputed with each other insisting ${\acute{s}}{\bar{u}}nyat{\bar{a}}-v{\bar{a}}da$ and $vij{\tilde{n}}aptim{\bar{a}}trav{\bar{a}}da$ separately. To introduce the disputation shortly is as follow. $N{\bar{a}}g{\bar{a}}rjuna$ explained the world and truth by two truth theories(二諦說) which carry out truth of a word and the dimension(spiritual enlightenment) which is absolute(ultimate) to it being lokasaṁvṛtisatya(世俗諦) about the truth which can be expressed verbally, and which is phenomenon-like (everyday) at paramaarthasatya(勝義諦). By the way, lokasaṁvṛtisatya and paramaarthasatya are actually distinction of the recognition which is not an ontological distinction. That is, lokasaṁvṛti(世俗) is paramaartha(勝義) as it is the time of seeing by the eyes of those who have realized. The two truth theories of $N{\bar{a}}g{\bar{a}}rjuna$ was developed logical more precisely by his successors. With an everyday language, the position of Candrakīrti(月稱) that it cannot be expressed as the position of $Bh{\bar{a}}vaviveka$(淸辨) that paramaarthasatya can be expressed logically is opposed to each other, and dissociates by $Sv{\bar{a}}tantrika$(自立論證派) and $P{\bar{a}}rsagika$(歸謬論證派). Confrontation of $Sv{\bar{a}}tantrika$ and $P{\bar{a}}rsagika$ is the dispute about the ability of s which is the highest truth to be proved logically. The $P{\bar{a}}rsaga$ of Candrakirti thinks that people exist truly, and is because it claims not existing in the world where a favorite thing is actually actual. However, $Bh{\bar{a}}vaviveka$ proved Sunyata(空性)을 positively based on the reliance to language and logic. Also the mokṣa of $M{\bar{a}}dhyamika$ is not recovery of original condition of $vij{\tilde{n}}apti$ which is pure in itself as $Yog{\bar{a}}c{\bar{a}}ra$ saying, as well as obtaining a thing which is dravya-sat as $Sarv{\bar{a}}stiv{\bar{a}}din$ saying. The mokṣa of $M{\bar{a}}dhyamika$ means a condition of liberated from karma and pains through extinction of $prapa{\tilde{n}}ca$ and discrimination by realizing the real aspect of all dharma which is said by pratītyasamutpāda, $praj{\tilde{n}}apti$, niḥsvabhāva, ${\acute{s}}{\bar{u}}nya$, $madhyam{\bar{a}}pratipad$.

• The Korean Society of Law and Medicine
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• v.22 no.4
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• pp.3-35
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• 2021

Inmitten der Flut der privaten und öffentlichen Information gilt die riesige Informationsmenge als Schlüsselressource im Zeitalter der 4. industriellen Revolution, repräsentiert durch Big-Data. Das Interesse an diesen wächst weltweit. Es gibt eine aktive Diskussion darüber, wie man Daten sichert und akkumuliert und wie man die gesammelten Daten sicher und effektiv nutzt. Gesundheitsdaten werden vor allem als die wertvollste Ressource bewertet, für die Big-DataTechnologie eingesetzt wird. Um Gesundheitsdaten sinnvoll zu nutzen, müssen verteilte Gesundheitsdaten integriert und den Benutzern in einer Form zur Verfügung gestellt werden, die für Forschung oder Inspektion verwendet werden kann. In einer Situation, in der große Länder um den Aufbau bzw. die Führung der Datenwirtschaft konkurrieren, wurden im August 2020 auch in Südkorea die sog. „3-Daten-Gesetze" geändert, die das Datenschutzgesetz(DSG) enthälten. Das DSG führte das Konzept der pseudonymen Informationen ein und baute eine Rechtsgrundlage für deren Verwendung auf. Als Folgemaßnahme kündigte die, Kommission für den Schutz personenbezogener Daten(Personal Information Protection Commission: PIPC)' die „Richtlinien für die Bahandlung mit pseudonymen Informationen" und, Ministerium für Gesundheit und Wohlfahrt' die „Richtlinien für die Verwendung von Gesundheitsdaten" an. Gesundheitsdaten stehen direkt in Zusammenhang mit Leben und Körper des Menschen und damit enthalten viele sensible Daten. Es handelt sich also um ein System, das aus einer vorsichtigeren und konservativeren Sicht unter der Voraussetzung verwendet werden kann, personenbezogene Daten sicherer zu schützen. Um die Hauptinhalte der „Richtlinien für Verwendung von Gesundheitsdaten" zu analysieren, überprüften wir zunächst die Hauptinhalte des überarbeiteten DSG. Danach durch die Analyse der wesentlichen Inhalte der „Richtlinien für Verwendung von Gesundheitsdaten" wurden Probleme wie Konflikte mit anderen Gesetzen und Verbesserungsmaßnahmen überprüft.

• Journal of Korean Medical classics
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• v.18 no.4 s.31
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• pp.155-165
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• 2005

진당시기대상한론치법적연구유(晋唐時期對傷寒論治法的硏究有): 왕숙화운용당시성행적(王叔和運用當時盛行的)‘한(汗), 토(吐), 하(下), 온(溫), 구(灸), 자(刺), 수(水), 화(火)’등팔법(等八法), 귀납료상한론적증치경험(歸納了傷寒論的證治經驗); 손사막근거자기적임상경험(孫思邈根據自己的臨床經驗), 파상한론적태양병편진행료(把傷寒論的太陽病篇進行了)‘이방명법(以方名法), 안법류증(按法類證)’, 저시해시기대상한론육경병치법적대표성적연구(這是該時期對傷寒論六經病治法的代表性的硏究), 저종연구유원시화력사적국한성(這種硏究有原始和歷史的局限性), 종중국의학대상한론육경병치법적연구력사고려(從中國醫學對傷寒論六經病治法的硏究歷史考慮), 저성위료후세적치법연구적선구자(這成爲了後世的治法硏究的先驅者), 구유비상대적영향(具有非常大的影響). 재송대대상한론치법적연구상(在宋代對傷寒論治法的硏究上), 기관건작용적의가유방안시화주굉(起關鍵作用的醫家有龐安時和朱肱). 타문대상한론치료원칙적천발(他們對傷寒論治療原則的闡發), 대륙경병적분석귀납(對六經病的分析歸納), 이급제시구체적치법상(以及提示具體的治法上), 도주출료공헌(都做出了貢獻). 방안시주장료응안인(龐安時主張了應按人), 지(地), 시제정치료적사상(時制定治療的思想); 주굉이(朱肱以)‘병유표본(病有標本), 치유선후(治有先後)’위치료원칙(爲治療原則), 여상한론상결합진행치료(與傷寒論相結合進行治療), 대후세의가산생료영향(對後世醫家産生了影響). 도료금원대성무기(到了金元代成無己), 류완소(劉完素), 왕호고등(王好古等), 대내경내용각자이사상관점(對內經內容各自以思想觀点), 분별안변증론치총결료육경병적치료규율(分別按辨證論治總結了六經病的治療規律), 동시대증후화방약진행료분석(同時對證候和方藥進行了分析), 천명료구체적육경병치법적병리전귀(闡明了具體的六經病治法的病理轉歸), 도유기독창성(都有其獨創性). 성무기용내경해석료상한론(成無己用內經解釋了傷寒論), 총결해기(總結解肌) 발한(發汗) 중제발한(重劑發汗) 해표행수(解表行水) 화해(和解) 공비 지열(止熱) 삼설등치법, 위후세대상한론치법적연구개벽료도로, 인이갱가명확화해적개념(因而更加明確和解的槪念), 병응용지금(幷應用至今). 류완소제창료주화론(劉完素提倡了主火論), 중시료상한론한(重視了傷寒論汗), 토(吐), 하삼법적연구(下三法的硏究), 창립료신량해표법(創立了辛凉解表法), 대후세온병치료적발전대래료흔대영향. 왕호고작위이수학파(王好古作爲易水學派), 운용장부적한열허실이론결합약미효능(運用臟腑的寒熱虛實理論結合藥味效能), 탐색료상한론육경병적치료규율(探索了傷寒論六經病的治療規律), 강조료양명병적익진액적치료원칙(强調了陽明病的益津液的治療原則), 대후세연구상한론치법급여료흔대적계발. 이상대상한론치법연구(以上對傷寒論治法硏究), 불근성위당시임상의학적선도(不僅成爲當時臨床醫學的先導), 이차성위료후세연구상한론치법적기초(而且成爲了後世硏究傷寒論治法的基礎).

• Journal of the Korea Institute of Information Security & Cryptology
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• v.30 no.2
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• pp.287-304
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• 2020

There have been a number of legal & policy studies on the affecting factors of big data utilization, but empirical research on the composition factors of personal information regulation or data combination, which acts as a constraint, has been hardly done due to the lack of relevant statistics. Therefore, this study empirically explores the priority of personal information regulation factors and data combination factors that influence big data utilization through Delphi Analysis. As a result of Delphi analysis, personal information regulation factors include in order of the introduction of pseudonymous information, evidence clarity of personal information de-identification, clarity of data combination regulation, clarity of personal information definition, ease of personal information consent, integration of personal information supervisory authority, consistency among personal information protection acts, adequacy punishment intensity in case of violation of law, and proper penalty level when comparing EU GDPR. Next, data combination factors were examined in order of de-identification of data combination, standardization of combined data, responsibility of data combination, type of data combination institute, data combination experience, and technical value of data combination. These findings provide implications for which policy tasks should be prioritized when designing personal information regulations and data combination policies to utilize big data.