http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
LoRaWan 및 Wi-Fi fingerprint 기반 사용자 위치 추정 시스템
이순빈 ( Lee Soon Bin ),김우성 ( Kim Woo Seong ) 한국정보처리학회 2018 한국정보처리학회 학술대회논문집 Vol.25 No.1
LoRaWan(Long Range Wide Area Network)은 저전력, 장거리 특성을 가진 무선 통신기술로 그 특성상 스마트 시티(Smart City), IoT(Internet of Things) 등에 각광받고 있다. 또한 LoRaWan은 Chirp 신호 특성에 의해 실외 삼각측량에 따른 사용자 위치 추정 기술을 제공한다. 본 논문에서는 이러한 LoRaWan의 특성에 더해 Wi-Fi 지문 정보를 활용하여 위치 추정 정확도를 개선하고 또한 이웃 Wi-Fi 단말들, 가령 스마트폰 등의 위치 정보를 LoraWan 게이트웨이와 통신하여 최종적으로 서버에서 측위 할 수 있는 시스템을 제안한다.
중원문화권안의 새로운 선사유적 (1) - 옥천지역 구석기유적을 중심으로 -
이융조 ( Yung Jo Lee ),우종윤 ( Jong Yoon Woo ),김우성 ( Woo Seong Kim ) 한국고대학회 2002 先史와 古代 Vol.17 No.-
The 8 sites newly discovered at Okcheon Area have been scrutinized so far. Following table is on those and artifacts. ◁표 삽입▷(원문을 참조하세요) Through these site and artifacts, we figure some characteristics out. First, each location of those sites has common aspect that they in end of ridgeline, where Kum-River flows U-shaped. And there are relatively large ground. With these factors, it is though that those areas could provide good condition with Paleolithic people. Moreover, all sites but Deodeok-I site were found within submerging line by Daecheong Dam(80m above sea level), and were identified to be located from 65 to 80m above sea level. In this region, because paleosol and geological terrace have developed to large extent, it seems that another Paleolithic site are likely to be found. Second, variety of raw material is quartz·quartzite, and any other peculiar material was not found. Most of them are round pebbles that can be easily obtained around sites. As it, is assumed that the area where raw material had been obtained was qualified to the Kum riverside. Third, retouched artifacts are mostly cores. On the contrary to that only one retouched tool with obvious characteristic of flake, all the other artifacts are cores but 2 pieces. Even though only limited surface-survey was conducted, that aspect can show certain characteristics of the sites. Forth, types of stone artifacts are relatively various that large and heavy artifacts have great portion(87.5%). Particularly, 12 pieces of bolas-stone and cores were found that it show good possibility that tool-making behaviors had been done in there. Besides, judging from technology and typology of artifacts, there is no artifact with upper Paleolithic characteristic, that it is though upper Paleolithic is not central phase. Near to upper stream of Kum river that occupies southem part of Jungwon region region, there has not been any excavation of paleolithic site, but just possibility of being paleolithic site has been suggested so far. However, this surface-survey presented remarkable result that 8 new paleolithic site were discovered. And it is expected that more extensive research would provide novel information on this region. Until now, there were 6 excavation for Kum-riverside of Jungwon Region that they were concentrated on the inland rather than area by main stream of Kum-River. In the situation, this survey has obtained excellent results, in that it gives the opportunity to understand the entity of paleolithic culture in Kum-riverside of Jungwon Region. However, those sites are location in submerged area by Daecheong Dam that paleosol·geological terrace has been damaged so rapidly. consequently, the excavation and further research is an urgency right now, so that the positive aid of governmental organization such as Water Resources Corporation should be needed.
국내 유통 농산물 중 EBI계 농약 모니터링과 위해도 평가
이희정(Hee Jung Lee),최원조(Won Jo Choe),이주영(Ju Young Lee),조대현(Dae Hyun Cho),강찬순(Chan Soon Kang),김우성(Woo Seong Kim) 한국식품영양과학회 2009 한국식품영양과학회지 Vol.38 No.12
우리 국민의 주식이 되는 쌀(백미)과 콩류, 감귤류, 열대과일류, 엽채류, 엽경채류, 근채류, 과채류, 버섯류에 속하는 농산물(989건)에 대해 8종의 EBI계 농약의 잔류 여부를 분석하였다. 그 결과 8건의 검체에서 농약이 검출되었고 농약수는 5종이 검출되었다. 기준 미설정 농약은 2종이었으며, 곡류 134건 중 4건 검출로 3.0%, 채소류 471건 중 4건 검출로 0.8%의 검출율을 나타내었다. 그 외 콩류(48건), 견과종실류(72건), 과실류(197건), 버섯류(67건)에서는 전혀 검출되지 않았으며 부적합율은 0.1%로 나타났다. 국내 미등록농약인 paclobutrazole이 근대에서 잠정허용기준을 초과하는 것으로 확인되었다. 그리고 EBI계의 검출율은 0.8%로 매우 낮았으며 검출된 농약의 경우도 기준규격 이하로 안전한 수준이었다. Establishment of simultaneous analysis method and monitoring for individually analyzing residual eight ergosterol biosynthesis inhibitors, EBI (difenoconazole, diniconazole, fenarimol, fenbuconazole, hexaconazole, myclobutanil, nuarimol and paclobutrazol) pesticides in commercial agricultural products, were conducted. The simultaneous analysis method for the pesticides was established using a GC/MS/MS for EBI pesticides. Residual amount of those pesticides were investigated in 989 commercial agricultural products (fifteen kinds of cereal grains, vegetables, beans, nuts, fruits and mushrooms) from seven metropolitan cities and eight provinces. In EBI pesticides analysis, linearity of GC/MS/MS analysis was 0.9974~0.9992, and that of recoveries were 86~135% with relative standard deviations (RSD) <20%. The limit of quantification (LOQ) of the method ranged from 0.5 to 5.0 ㎎/㎏ for eight EBI pesticides. According to the monitoring of the EBI pesticides in commercial agricultural products, difenoconazole, fenarimol, hexaconazole showed various residual levels (total frequency of 8/989 detection, 0.8%). Paclobutrazole showed in excess levels of the MRLs (maximum residue limits) for pesticides in one chard sample by the Korea Food Code. As a result of exposure assessment on the detected 8 individual pesticides, all pesticides (difenoconazole, fenarimol, hexaconazole, paclobutrazole) were evaluated as safe level in comparison to toxicologically acceptable daily intake.
기계학습의 영상인식결과에 대한 입력영상의 영향도 분석 기법
김도완 ( Do-wan Kim ),김우성 ( Woo-seong Kim ),이은헌 ( Eun-hun Lee ),김현철 ( Hyeoncheol Kim ) 한국컴퓨터교육학회 2017 한국컴퓨터교육학회 학술발표대회논문집 Vol.21 No.2
기계학습은 인공지능(AI, Artificial Intelligence)의 일종으로 다른 인공지능 알고리즘이 정해진 규칙을 기 반으로 주어진 임무(Task)를 해결하는 것과는 달리, 기계학습은 수집된 Data를 기반으로 최적의 솔루션을 학습한 후 미래의 값들을 예측하거나 해석하는 방법을 사용하고 있다. 더욱이 인터넷을 통한 연결성의 확대 와 컴퓨터의 연산능력 발전으로 가능하게 된 Big-Data를 기반으로 하고 있어 이전의 인공지능 알고리즘에 비해 월등한 성능을 보여주고 있다. 그러나 기계학습 알고리즘이 Data를 학습할 때 학습 결과를 사람이 해 석하기에 너무 복잡하여 사람이 그 내부 구조를 이해하는 것은 사실상 불가능하고, 이에 따라 학습된 기계 학습 모델의 단점 또는 한계 등을 알지 못하는 문제가 있다. 본 연구에서는 이러한 블랙박스화된 기계학습 알고리즘의 특성을 이해하기 위해, 기계학습 알고리즘이 특정 입력에 대한 결과를 예측할 때 어떤 입력들로부터 영향을 많이 받는지 그리고 어떤 입력으로부터 영향을 적게 받는지를 알아보는 방법을 소개하고 기존 연구의 단점을 개선하기 위한 방법을 제시한다.
LiNi<sub>1/3</sub>Mn<sub>1/3</sub>Co<sub>1/3</sub>O<sub>2</sub>계 정극활물질을 적용한 전극 제조조건 최적화 연구
김현수,김성일,이창우,문성인,김우성,Kim Hyun-Soo,Kim Sung-Il,Lee Chang-Woo,Moon Seong-In,Kim Woo-Seong 한국전기전자재료학회 2006 전기전자재료학회논문지 Vol.19 No.2
A fabrication condition of the cathode electrode was optimized in a lithium secondary battery. The $LiNi_{1/3}Mn_{1/3}Co_{1/3}O_2$ powders were used as a cathode material. The $LiNi_{1/3}Mn_{1/3}Co_{1/3}O_2$/Li cells were prepared with a certain formulation and their cycleability and rate-capability were evaluated. Optimum electrode composition simulated from the evaluated value was 86.3: 5.6: 8.1 in mass $\%$ of active material: binder: conducting material. Discharge capacity decreased markedly as the press ratio exceeded $30\%$ during preparation of the electrode. Discharge performance at a high current rate deteriorated abruptly as the electrode thickness was over $120{\mu}m$.
식품 안전성 확보를 위한 목재 식기용 에폭시 코팅의 두께 결정
이광수(Kwang Soo Lee),임동길(Dong Gil Leem),김상엽(Sang Yub Kim),장미란(Mi Ran Jang),김우성(Woo Seong Kim),이영자(Young Ja Lee) 한국식품영양과학회 2004 한국식품영양과학회지 Vol.33 No.2
목재에 코팅재로 사용되는 에폭시 수지로부터의 총괄이 행량에 대한 모델을 정립하고, 이를 이용하여 안전성확보에 필요한 두께의 정도를 계산하였다. 에폭시 수지를 통한 총괄 이행은 위생적 관심영역에서 확산모델에 의하여 해석이 가능하였고, 투과성 겉보기 투과성 지표에 미치는 온도의 영향은 Arrhenius 방정식으로 설명이 가능하였다. 그리고 일반적인 식품공전의 60℃, 30분의 용출조건에서 위생적 한도를 만족시키기 위한 최소의 코팅두께는 0.004 ㎜였다. Overall migration through epoxy layer coated wood was investigated to estimate the coating thickness satisfying the regulatory limit. As an index of overall migration, KMnO₄ oxidizable extractives by the food simulant water solution was used. Migration pattern in interest range could described by a simple diffusion model, and the temperature dependence of the permeability index could be explained by Arrhenius equation. The thickness of epoxy coating greater than 0.004 ㎜ was analyzed to be required for satisfying the regulatory guideline.