http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
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.
Investigation on Optimization of AlOx Passivation Layer for High-performance p-PERC Solar Cells
Minsoo Jeong(정민수),Yong-jin Kim(김용진),Sang Hee Lee(이상희),Yunae Cho(조윤애),Kyung Taek Jeong(정경택),Hee-eun Song(송희은),Min Gu Kang(강민구),Sungeun Park(박성은),Yoonmook Kang(강윤묵) 한국태양에너지학회 2024 한국태양에너지학회 학술대회논문집 Vol.2024 No.4
( Minsoo Kim ),( Sanghyuk Han ),( Jiwoong Jeon ),( Sangwoon Woo ),( Jun Won Yang ),( Sungyoon Park ),( Yejee Lim ),( Nway Oo Khin ),( Jimin Yu ),( Han S. Kim ) 한국폐기물자원순환학회(구 한국폐기물학회) 2019 ISSE 초록집 Vol.2019 No.-
To date, demand for valuable metals continuously increasing due to electronic industries in Korea, and as a result, the generation of wastes are dramatically increasing. Along with aluminum, copper is one of the most demanding metals in most industries, and therefore, their recovery and recycling have received extensive interests. High-purity copper is critically required for electronic and electrical industries. A number of purification processes have been developed for the purity level-up of low-degree copper recycling resources. In this study, copper was recovered from acidic wastewaters generated in plating processes by electrolysis. Copper extraction was conducted in a 1.5L batch type reactor (90×120×170 mm, L×W×H) made of plexiglass. Cathode was made of a stainless-steel plate and anode was prepared by coating iridium/ruthenium onto a titanium plate (100×100×0.4 mm, L×W×T for both electrodes). The electronic wastewaters used in this study were highly acidic (mainly composed of sulfuric and nitric acids, respectively) and contained a considerable amount of copper. The metals contained in the sulfuric acid wastewater were 92.95% of copper, 2.89% of iron, 1.19% of lead, and 2.97% of other trace metals and those in the nitric acid wastewater were 49.87% of aluminum, 45.97% of copper, and 4.16% of other trace metals. Inductively coupled plasma-optical emission spectroscopy was used to determine the recovery rate and purity of copper during electrolysis. Recovery rate of copper from sulfuric acid wastewater and its purity were 99.98% and 99.47%, respectively. Recovered copper was obtained in the form of thin foil at the high recovery rate. Furthermore, it was found that the recovery rate of copper from the sulfuric acid wastewater can be effectively enhanced by optimizing reaction run time, current density, and chemical additives. On the contrary, copper in nitric acid wastewater was not recovered by electrolysis. Instead, a precipitation method was employed for the recovery, and 86.54% of recovery rate was achieved as a copper hydroxide form. This copper can be recovered by dissolving into sulfuric acid wastewater followed by electrolysis process. Voltage and temperature did not change significantly, and the pH was maintained at the low level due to the H+ formation in the electrolysis process. The results of this study will be useful for the development of a process that efficiently recovers high purity copper from waste acids and wastewaters of plating process.
Minsoo Son,Hyunsoo Kim,Injoon Yeo,Yoseop Kim,Areum Sohn,Youngsoo Kim 한국생물공학회 2019 Biotechnology and Bioprocess Engineering Vol.24 No.2
Quantifying multiple protein biomarkers in a blood sample at one time has many advantages for diagnosing human diseases. In this study, 34 multiplex assays by multiple reaction monitoring-mass spectrometry (MRM-MS) for serum biomarkers were characterized according to Clinical Proteomic Tumor Analysis Consortium (CPTAC) guidelines. The assays revealed that the median lower limit of quantitation (LLOQ) was 0.37 fmol/μL (16.0 ng/mL) and that the median total coefficient of variation (CV) was 18.2%, 12.2%, and 10.6% in the low-, medium-, and high-quality control (QC) samples. With regard to selectivity, the median mean differences in slope and concentration were 2.1% and 4.3%, respectively. The median values for all CVs and %difference from the nominal concentration for stability were 9.5% and 2.7% in low-QC and 3.8% and 3.1% in medium-QC. The median total CV was 9.8% in the reproducibility. Finally, 17 protein-based biomarker assays were reliable and transferrable for preclinical purposes per CPTAC guidelines.