• 제목/요약/키워드: Competitive extraction

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Data mining and Copyright

  • Kim, Kyungsuk
    • International Journal of Internet, Broadcasting and Communication
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    • 제14권4호
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    • pp.11-19
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    • 2022
  • Data mining has broad applications that reach beyond scholarly and scientific research and provide internet search engine services that are commonly used forms of Text and Data Mining('TDM') of websites. The exceptions and limitations for data mining provide a competitive advantage in the global race for policy innovation because it permits researchers to conduct computational analysis - TDM on any materials to which they have access. For this purpose, Japan and the EU added limitations on copyright to legalize some TDM research through amendments to copyright law, and the U.S. copyright law has allowed data mining by the fair use provision. On the other hand, there are no explicit exceptions and limitations for data mining under the Korean Copyright Act, and there are no cases considering data mining fair use. We review comparatively exceptions and limitations on copyright which will help to encourage AI-related business by using more data smoothly through the mining process and extracting more valuable information.

Production of Group Specific Monoclonal Antibody to Aflatoxins and its Application to Enzyme-linked Immunosorbent Assay

  • Kim, Sung-Hee;Cha, Sang-Ho;Karyn, Bischoff;Park, Sung-Won;Son, Seong-Wan;Kang, Hwan-Goo
    • Toxicological Research
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    • 제27권2호
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    • pp.125-131
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    • 2011
  • Through the present study, we produced a monoclonal antibody against aflatoxin B1 (AFB1) using AFB1-carboxymethoxylamine BSA conjugates. One clone showing high binding ability was selected and it was applied to develop a direct competitive ELISA system. The epitope densities of AFB1-CMO against BSA and KLH were about 1 : 6 and 1 : 545, respectively. The monoclonal antibody (mAb) from cloned hybridoma cell was the IgG1 subclass with ${\lambda}$-type light chains. The $IC_{50}s$ of the monoclonal antibody developed for AFB1, AFB2, AFG1 and AFG2 were 4.36, 7.22, 6.61 and 29.41 ng/ml, respectively, based on the AFB1-KLH coated ELISA system and 15.28, 26.62, 32.75 and 56.67 ng/ml, respectively, based on the mAb coated ELISA. Cross-relativities of mAb to AFB1 for AFB2, AFG1 and AFG2 were 60.47, 65.97 and 14.83% in the AFB1-KLH coated ELISA, and 59.41, 46.66 and 26.97% in the mAb coated ELISA, respectively. Quantitative calculations for AFB1 from the AFB1-Ab ELISA and AFB1-Ag ELISA ranged from 0.25 to 25 ng/ml ($R^2$ > 0.99) and from 1 to 100 ng/ml ($R^2$ > 0.99), respectively. The intra- and inter-assay precision CVs were < 10% in both ELISA assay, representing good reproducibility of developed assay. Recoveries ranged from 79.18 to 91.27%, CVs ranged from 3.21 to 7.97% after spiking AFB1 at concentrations ranging from 5 to 50 ng/ml and following by extraction with 70% methanol solution in the Ab-coated ELISA. In conclusion, we produced a group specific mAb against aflatoxins and developed two direct competitive ELISAs for the detection of AFB1 in feeds based on a monoclonal antibody developed.

소형 유전자 알고리즘을 이용한 스테레오 영상으로부터의 3차원 모델 추출기법 (3D Model Extraction Method Using Compact Genetic Algorithm from Real Scene Stereoscopic Image)

  • 한규필;엄태억
    • 대한전자공학회논문지SP
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    • 제38권5호
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    • pp.538-547
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    • 2001
  • 최근 2차원 실시간 영상통신기술들이 급속한 발전을 거듭하여 여러 제품에 상용화되고 있는 추세이다. 그러나 이 기술들은 2차원 영상의 시각적 전송이므로 가상현실의 도래로 인해 수반된 3차원 현실감을 다루기에는 불충분하다고 할 수 있다. 이밖에 컴퓨터 그래픽 분야의 3차원 가상현실 연구가 합성 영상에 국한되어 연구되어졌기 때문에 실 영상에 대한 가상현실의 구현이 어려운 실정이다 그러므로 본 논문에서는 스테레오 시각을 이용하여 실 영상 가상현실 구현에 적용될 수 있는 유전자 알고리즘 기반의 새로운 3차원 객체 추출기법을 제시한다. 제안한 방법은 저장공간의 낭비와 알고리즘의 복잡성을 줄이기 위해서 확률벡터와 반복학습에 기반한 개체군기반 증가 학습이라는 소형 유전자 알고리즘을 정합 환경에 맞게 변형시켰다. 그 결과 정합 성능이 기존의 스테레오 정합 기법보다 우수하며, 간단하고 빠른 정합 알고리즘을 제시할 수 있었다. 또한, 영상의 특성에 무관하게 알고리즘의 변경 없이 안정된 결과를 얻을 수 있다는 장점이 있었다.

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중금속류 오염 토양 처리를 위한 복합 고화제(lime, DAP, 래들 슬래그) 성능 평가 (Evaluation of the Performance of Multi-binders (lime, DAP and ladle slag) in Treating Metal(loid)s-contaminated Soils)

  • 최지연;신원식
    • 한국환경과학회지
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    • 제26권8호
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    • pp.955-966
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    • 2017
  • Amendment of multi-binders was employed for the immobilization of metal(loid)s in field-contaminated soils to reduce the leaching potential. The effect of different types of multi-binders (lime/diammonium phosphate, diammonium phosphate/ladle slag and lime/ladle slag) on the solidification/stabilization of metal(loid)s (Pb, Zn, Cu and As) from the smelter soil and mine tailing soil were investigated. The amended soils were evaluated by measuring Toxicity Characterization Leaching Procedure (TCLP) leaching concentration of metal(loid)s. The results show that the leaching concentration of metal(loid)s decreased with the immobilization using multi-binders. In terms of TCLP extraction, the mixed binder was effective in the order of lime/ladle slag > diammonium phosphate/ladle slag > lime/diammonium phosphate. When the mixed binder amendment (0.15 g lime+0.15 g ladle slag for 1g smelter soil and 0.05 g lime+0.1 g ladle slag for 1 g mine tailing soil, respectively) was used, the leaching concentration of metal(loid)s decreased by 90%. However, As leaching concentration increased with diammonium phosphate/lime and diammonium phosphate/ladle slag amendment competitive anion exchange between arsenic ion and phosphate ion from diammonium phosphate. The Standard, Measurements and Testing programme (SM&T) analysis indicated that fraction 1 (F1, exchangeable fraction) decreased, while fraction 4 (F4, residual fraction) increased. The increased immobilization efficiency was attributed to the increase in the F4 of the SM&T extraction. From this work, it was possible to suggest that both arsenic and heavy metals can be simultaneously immobilized by the amendment of multi-binder such as lime/ladle slag.

이동형 정보 증강 시스템을 위한 실시간 장소 인식 (Real-Time Place Recognition for Augmented Mobile Information Systems)

  • 오수진;남양희
    • 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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    • 제14권5호
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    • pp.477-481
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    • 2008
  • 이동 중 사용자에게 필요한 정보를 제공하기 위해서는 장소를 인지하는 기술이 필요하다. 본 논문에서는 건물 내에서 이동하면서 카메라에 의해 포착된 영상 정보를 분석하여 현재 장소를 파악하고 카메라 영상에 관련 정보를 증강하는 비디오 기반 실시간 장소인식 시스템을 제안한다. 영상의 전역적 특징을 이용한 기존 연구들은 장면의 부분적인 폐색이나 잡음에 민감하고, 물체인식을 행하는 지역적 특징 의존 방식은 계산량이 많아 실시간 적용이 어렵다. 또한, 그러한 특징들로부터 장소인식 결과를 도출하기 위해서는 통계적 그래프 기반 모델이나 베이시안 네트웍등이 이용되어 왔는데, 전자의 경우 장소 이동의 확률을 얻기 위한 많은 통계 데이타가 필요하며, 후자는 장소 이동문맥을 활용하지 못하므로 물체 인식 결과에만 의존하는 단점이 있다. 본 논문에서는 장소 문맥 정보를 활용하면서 영상의 지역적, 전역적 특징추출법의 결합을 통해 부분 폐색 및 잡음에 대한 전역적 방법의 민감성을 보완하고, 지역적 방법의 느린 처리속도를 보완한 시스템을 제안한다. 제안된 방법을 건물 내부를 이동하면서 장소에 대한 정보를 얻는 정보증강 시스템에 적용하여 실시간 성능을 확인하였다.

역상 고속액체크로마토그라프법을 이용한 혈장 및 뇨 중 로바스타틴의 정량 (Quantitative Analysis of Lovastatin in Human Plasma and urine by Reversed-Phase High-Performance Liquid Chromatography)

  • 최혜진;김명민;최경업
    • 약학회지
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    • 제42권5호
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    • pp.473-479
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    • 1998
  • Lovastatin (LOVA), a fungal metabolite isolated from cultures of Aspergillus terreus, is a competitive HMG-CoA reductase inhibitor used for the treatment of primary hyper cholesterolemia, and has also been shown to suppress growth in a variety of non-glioma tumor cell lines. A sensitive reversed-phase high-perfonnance liquid chromatographic method with ultraviolet (UV) absorbance detection has been developed to quantitate LOVA in human plasma and urine samples using liquid-liquid extraction procedure. Baseline separation of LOVA and internal standard, simvastatin was achieved on a Novapak $C_{18}$ analytical column with a mobile phase containing 0.025M $NaH_2PO_4$: CAN (35:65, v/v%), adjusted pH to 4.5. The flow rate was set at 1.5ml/min, and the column effluent was monitored by a UV detection at 238nm. The limit of quantification was determined to be 0.5${\mu}$g/ml while extraction efficiency of LOVA ranged from 73.4-82.9% at LOVA concentrations of 0.5 to 10${\mu}$g/ml. Good linearity with correlation coefficients greater than 0.999 was obtained in the range of LOVA concentrations from 0.5 to 10${\mu}$g/ml. The accuracy and the precision were proven excellent with relative standard deviation (RSD, %) and relative error (RE, %) of less than 4.2 and 4.0, respectively. Intraday precision, evaluated at five LOVA concentrations (0.5, 1, 2, 5, 10${\mu}$g/ml) and expressed as RSD ranged from 0-1.82% while the interday precision at the same concentrations ranged from 0.7-10.5%. The analytical method described was then successfully employed for the determination of LOVA concentrations in plasma samples obtained during a phase II clinical trial using high doses of LOVA (30-40mg/kg/day). This method could be further utilized for the ongoing pharmacolkinetic studies and therapeutic drug monitoring of the high-dose LOVA therapy in adenocarcinoma patients.

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고정밀 신관 부품의 MIM 공정에 관한 연구 (A Research on the MIM Process of High-Precision Fuze Parts)

  • 서정화;강경훈
    • 한국군사과학기술학회지
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    • 제15권3호
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    • pp.231-240
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    • 2012
  • During the past two decades, Metal Injection Molding(MIM) has become a very competitive technology to fabricate small, precise and complex-shaped parts in large quantities. In this research, the applicability of MIM technology in the mass-production of the high precision fuze parts to save manufacturing cost was investigated. The water-atomized 17-4PH stainless steel powder, one of the best corrosion-resistant high strength materials, was injection-molded into real-shape fuze part and flat tensile specimens. The injection-molded parts were thermally debound in hydrogen gas flow without solvent extraction. Sintering of the debound parts was carried out in vacuum at temperatures ranging from $1150^{\circ}C$ to $1370^{\circ}C$. The sintering behavior, mechanical properties, dimensional precision, corrosion resistance of the MIMed 17-4PH stainless parts were investigated. It was found that almost all the properties of the MIMed parts were comparable to those of the mechanically machined parts. Also, actual military field tests using both MIMed and mechanically machined fuze parts were performed as well and were found to be very successful.

자기 조직화 기법을 활용한 컬러 영상 배경 영역 추출 (Background Segmentation in Color Image Using Self-Organizing Feature Selection)

  • 신현경
    • 정보처리학회논문지B
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    • 제15B권5호
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    • pp.407-412
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    • 2008
  • 잡음이 심한 배경을 가진 영상 내부의 영역 분할 처리 과정은 해결하기 매우 어려운 문제로 인식되어 왔다. 그에 따라 이 문제를 해결하기 위한 기초적 방법론에 관한 연구 및 주어진 문제에 따라 실제적 적용을 위한 다양한 노력이 있어왔다. 본 논문에서는 영상 분할을 위한 새로운 접근법을 제시하는 것을 목적으로 하였다. 새로운 방법론으로서 기존의 관심 객체 분할의 반대인 배경 영역 분할이라는 새로운 관점을 연구의 중심으로 하였다. 기반 이론으로는 승자 독식 원리의 자기 학습 이론 알고리즘에서 특징 선택을 위한 자기 조직화를 분석하고 이를 문제 해결에 적용하였다. 실제적 영상 데이터를 통한 실험을 통해 배경 영역 분할을 적용한 영상 분할은 효과적으로 수행될 수 있음을 실험 결과로 제시해 보였다.

Output-error state-space identification of vibrating structures using evolution strategies: a benchmark study

  • Dertimanis, Vasilis K.
    • Smart Structures and Systems
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    • 제14권1호
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    • pp.17-37
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    • 2014
  • In this study, four widely accepted and used variants of Evolution Strategies (ES) are adapted and applied to the output-error state-space identification problem. The selection of ES is justified by prior strong indication of superior performance to similar problems, over alternatives like Genetic Algorithms (GA) or Evolutionary Programming (EP). The ES variants that are being tested are (i) the (1+1)-ES, (ii) the $({\mu}/{\rho}+{\lambda})-{\sigma}$-SA-ES, (iii) the $({\mu}_I,{\lambda})-{\sigma}$-SA-ES, and (iv) the (${\mu}_w,{\lambda}$)-CMA-ES. The study is based on a six-degree-of-freedom (DOF) structural model of a shear building that is characterized by light damping (up to 5%). The envisaged analysis is taking place through Monte Carlo experiments under two different excitation types (stationary / non-stationary) and the applied ES are assessed in terms of (i) accurate modal parameters extraction, (ii) statistical consistency, (iii) performance under noise-corrupted data, and (iv) performance under non-stationary data. The results of this suggest that ES are indeed competitive alternatives in the non-linear state-space estimation problem and deserve further attention.

n-ZnO:Ga/p-Si 이종접합 발광 다이오드의 제작 및 특성 평가 (Fabrication and characterization of n-ZnO:Ga/p-Si heterojunction light emitting diodes)

  • 한원석;공보현;안철현;조형균;김병성;황동목
    • 한국전기전자재료학회:학술대회논문집
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    • 한국전기전자재료학회 2008년도 하계학술대회 논문집 Vol.9
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    • pp.97-98
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    • 2008
  • n-ZnO/p-Si heterostructure is a good candidate for ZnO-based heterojunction light emitting diodes(LED) because of its competitive price and lower driving voltage. However, the conventional LED shows much lower extraction efficiency, because it has small top contact and large backside contact. In this structure, the injected current from the top contact enters the active region underneath the top contact. Thus, the emitted light is hindered by the opaque top contact. This problem can be solved by using a current-blocking layer(CBL) that prevents the current injection into the active region below the top contact.

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