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한국에서 사물인터넷과 관련한 빅데이터 보호제도의 현재와 그 방향 ― 사물인터넷의 특성과 부정경쟁방지 및 영업비밀보호에 관한 법률에 의한 보호의 충분성에 중점을 두고
설민수 ( Seul¸ Minsoo ) 한국지식재산연구원 2020 지식재산연구 Vol.15 No.4
빅데이터의 보호는 사물인터넷이 활성화와 함께 일반인의 관심을 모으고 있는 영역이다. 자연스럽게 기존 보호제도의 문제점을 지적하면서 새로운 지식재산권에 의한 보호주장들이 분출되고 있다. 하지만 사물인터넷 관련 빅데이터는 다른 빅데이터와는 사물인터넷 기술의 특성에 따라 보안조치에 의한 비공지성, 추적가능성에 바탕을 둔 사용자의 개인정보와의 불가분성 등 여러 가지 다른 특징을 가지고 있고, 이러한 특성을 무시한 새로운 지식재산권에 의한 보호는 그 소유권 귀속과 같이 해결하기 어려운 여러 가지 법률적 쟁점을 야기할 뿐이다. 반면, 비공지성을 갖춘 정보를 보호하는 한국의 부정경쟁방지 및 영업비밀보호에 관한 법률과 그 보호범위에 관한 법원의 해석은 다른 국가와 다르게 영업비밀, 영업상 주요자산, 제2조 제1호 ㈘목의 부정경쟁행위라는 틀을 통해 이를 다양하게 분류해 보호하고 있다. 또한 그 정보의 독점력이 가진 가치에 따라 다양한 범위의 형사적 제재 및 민사적 보호를 폭넓게 제공하고 있다. 이에 따라 사물인터넷 관련 빅데이터 중 그 가치를 달리하는 사전처리를 거친 데이터세트, 비식별화 조치를 거친 데이터세트, 원시데이터 상태의 빅데이터에 관해서도 충분한 보호를 제공하며 사물인터넷 관련 빅데이터 거래에 있어 중요한 장애물인 개인정보 보호에 관련하여 재식별을 막아 빅데이터 거래 활성화를 가능하게 하는 장점도 가지고 있다. Protection of Big Data draws attention of general public beyond related experts as Internet of Things(hereafter ‘IoT’) spreads. Naturally, discussions of introduction of new intellectual property protection measures that points out the fault of existing protections are erupting. However, IoT related Big Data has many distinct features from other Big Data including non-publicity originated from security measures, inseparability of user’s personal information by traceability. Accordingly, new protection measures by intellectual property to IoT related Big Data bring out unsolvable numerous legal issues like attribution of ownership. The Unfair Competition Prevention and Trade Secret Protection Act and court’s interpretation(hereafter ‘the Act’) protects non-public information in Korea by utilizing frames of trade secret, major assets in business and unfair competitory acts by section 2.1(Ka) unlike other countries. The Act provides various and wide range of criminal sanctions and civil protection measures according to the value of the information by monopoly powers. It sufficiently protects pre-processed dataset, de-identified dataset, Big Data in raw data status among IoT related Big Data and has the advantage of helping active trading of Big Data by discouraging re-identification of personal information which is one of main barriers to trading of IoT related Big Data.
Minsoo Ko(Minsoo Ko),Su-hyuk Chi(Su-hyuk Chi),Jong-ha Lee(Jong-ha Lee),Sang-il Suh(Sang-il Suh),Moon-Soo Lee(Moon-Soo Lee) 대한정신약물학회 2023 CLINICAL PSYCHOPHARMACOLOGY AND NEUROSCIENCE Vol.21 No.2
Objective: Cyber addiction, which is more vulnerable in adolescents, is defined as the excessive use of computers and the Internet that causes serious psychological, social, and physical problems. In this study, we investigated the resting-state functional connectivity (rsFC) in adolescents with cyber addiction. Methods: We collected and analyzed resting-state functional neuroimaging data of 20 patients with cyber addiction, aged 13−18 years, and 27 healthy controls. Based on previous studies, the seed regions included the dorsolateral prefrontal cortex, medial orbitofrontal cortex, lateral orbitofrontal cortex, dorsal anterior cingulate cortex, insula, hippocampus, amygdala, nucleus accumbens, and the ventral tegmental area. Seed-to-voxel analyses were performed to investigate the differences between patients and healthy controls. A correlation analysis between rsFC and cyber addiction severity was also performed. Results: Patients with cyber addiction showed the following characteristics: increased positive rsFC between the left insular−right middle temporal gyrus; increased positive rsFC between the right hippocampus−right precentral gyrus; increased positive rsFC between the right amygdala−right precentral gyrus and right parietal operculum cortex; increased negative rsFC between the left nucleus accumbens−right cerebellum crus II and right cerebellum VI. Conclusion: Adolescents with cyber addiction show altered functional connectivity during the resting state. The findings of this study may help us better understand the neuropathology of cyber addiction in adolescents.
MinSoo Byun,Dahyun Yi,JunHo Lee,YoungMin Choe,BoKyung Sohn,JunYoung Lee,HyoJung Choi,Hyewon Baek,YuKyeong Kim,YunSang Lee,ChulHo Sohn,Inhee MookJung,Murim Choi,YuJin Lee,DongWoo Lee,SeungHo Ryu,ShinGy 대한신경정신의학회 2017 PSYCHIATRY INVESTIGATION Vol.14 No.6
Objective-The Korean Brain Aging Study for the Early Diagnosis and Prediction of Alzheimer’s disease (KBASE) aimed to recruit 650 individuals, aged from 20 to 90 years, to search for new biomarkers of Alzheimer’s disease (AD) and to investigate how multi-faceted lifetime experiences and bodily changes contribute to the brain changes or brain pathologies related to the AD process. Methods-All participants received comprehensive clinical and neuropsychological evaluations, multi-modal brain imaging, including magnetic resonance imaging, magnetic resonance angiography, [11C]Pittsburgh compound B-positron emission tomography (PET), and [18F]fluorodeoxyglucose-PET, blood and genetic marker analyses at baseline, and a subset of participants underwent actigraph monitoring and completed a sleep diary. Participants are to be followed annually with clinical and neuropsychological assessments, and biannually with the full KBASE assessment, including neuroimaging and laboratory tests. Results-As of March 2017, in total, 758 individuals had volunteered for this study. Among them, in total, 591 participants-291 cognitively normal (CN) old-aged individuals, 74 CN young- and middle-aged individuals, 139 individuals with mild cognitive impairment (MCI), and 87 individuals with AD dementia (ADD)-were enrolled at baseline, after excluding 162 individuals. A subset of participants (n=275) underwent actigraph monitoring. Conclusion-The KBASE cohort is a prospective, longitudinal cohort study that recruited participants with a wide age range and a wide distribution of cognitive status (CN, MCI, and ADD) and it has several strengths in its design and methodologies. Details of the recruitment, study methodology, and baseline sample characteristics are described in this paper.
Automatic Detection of Sleep Stages based on Accelerometer Signals from a Wristband
Minsoo Yeo,Yong Seo Koo,Cheolsoo Park 대한전자공학회 2017 IEIE Transactions on Smart Processing & Computing Vol.6 No.1
In this paper, we suggest an automated sleep scoring method using machine learning algorithms on accelerometer data from a wristband device. For an experiment, 36 subjects slept for about eight hours while polysomnography (PSG) data and accelerometer data were simultaneously recorded. After the experiments, the recorded signals from the subjects were preprocessed, and significant features for sleep stages were extracted. The extracted features were classified into each sleep stage using five machine learning algorithms. For validation of our approach, the obtained results were compared with PSG scoring results evaluated by sleep clinicians. Both accuracy and specificity yielded over 90 percent, and sensitivity was between 50 and 80 percent. In order to investigate the relevance between features and PSG scoring results, information gains were calculated. As a result, the features that had the lowest and highest information gain were skewness and band energy, respectively. In conclusion, the sleep stages were classified using the top 10 significant features with high information gain.
Overseas Review on the In-situ Demonstration of EBS for IN-DEBS Development
Minsoo Lee,Heui-Joo Choi,Jong-Youl Lee,Changsoo Lee,Jae-Owan Lee,Inyoung Kim 한국방사성폐기물학회 2014 방사성폐기물학회지 Vol.12 No.2
본 연구에서는 한국원자력연구원 부지 내 KURT 연구시설에 심지층 처분실증시험을 수행할 목적으로 사전 해외현황조사를실시하였다. 고준위폐기물 심지층 처분을 목적으로 지하연구시설을 구축한 나라들을 대상으로 현재 수행되었거나, 수행이진행 중인 공학적방벽 성능평가 시험들을 조사하였다. 주요 실증시험으로는, 스웨덴/프랑스 TBT, 스웨덴 LOT, 스위스 HEE,벨기에 PRACLAY, 스페인 FEBEX, 일본 HORONOBE, 및 캐나다 BCE 등이었다. 각 실증시험에 대하여 시험의 목적, 시험체의 구성, 시험조건, 세부 구성도, 측정 항목, 측정기기, 및 도출된 결과 등을 구체적으로 조사하였으며, 시험결과보다는 시험목적 및 시험물의 구축방법 파악에 더 집중하였다. 왜냐하면, 각국의 공학적방벽 성능시험방법의 검토를 통해 향후 KURT에서 추진하게 될 공학적방벽 실증시설의 설계에 도움을 얻고, 다양한 성능시험을 동시에 수행할 수 있도록 하기 위해서였다. 향후 KURT 확장을 통해 공학적방벽 성능시험 터널을 확보하고, 중규모의 성능 시험시연을 추진하게 될 예정이다. 본 기술검토를 통해 이 때 추진할 시험내역과 시험체의 구성 및 크기 등의 상세 설계에 필요한 기초적인 지식을 얻고자 하였다.
An Approximate Closed-Form Channel Model for Diverse Interconnect Applications
Minsoo Choi,Jae-Yoon Sim,Hong-June Park,Byungsub Kim IEEE 2014 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS PART 1 R Vol.61 No.10
<P>This paper presents an approximate closed-form channel model for a wide range of high-speed interconnect designs. Closed-form formulas derived from telegrapher's equation can accurately describe frequency responses of various interconnects, which have hardly been described by simple closed-form formulas, as long as the channels meet clear validity conditions. The formulas also provide a simple and intuitive equivalent circuit representation which allows designers to separately consider the effects of transmitter impedance, receiver termination, and wire attenuation. For a wide range of applications, the relative error of our model is theoretically bounded by the validity conditions. The model's accuracy is verified by comparing the calculated transfer functions against simulation results using the previous method built in SPICE for various interconnect examples from LC-dominant printed-circuit-board interconnects to RC-dominant silicon-interposer interconnects. In addition, the simplicity of our model improves computation time by about 162 times compared to the previous numerical computation method. With this channel model, designers can intuitively and accurately analyze the behavior of interconnects and design trade-offs of a wide range of interconnects without complex numerical simulation.</P>