• 제목/요약/키워드: Active Research

검색결과 9,758건 처리시간 0.041초

Investigation of the Protonated State of HIV-1 Protease Active Site

  • Nam, Ky-Youb;Chang, Byung-Ha;Han, Cheol-Kyu;Ahn, Soon-Kil;No, Kyoung-Tai
    • Bulletin of the Korean Chemical Society
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    • 제24권6호
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    • pp.817-823
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    • 2003
  • We have performed ab initio calculation on the active site of HIV-1 protease. The FEP method was used to determine the binding free energy of four different of protonated states of HIV-1 protease with inhibitor. The structure of the active site and hole structure was taken from the X-ray crystallographic coordinates of the C₂ symmetric inhibitor A74704 protease bound. The active site was modeled with the fragment molecules of binding pocket, acetic acid/ acetate anion (Asp25, Asp125), formamide (amide bond of Thr26/Gly27, Thr126/ Gly127), and methanol as inhibitor fragment. All possibly protonated states of the active site were considered, which were diprotonated state (0, 0), monoprotonated (-1, 0),(0, -1) and diunprotonated state (-1, -1). Once the binding energy Debind, of each model was calculated, more probabilistic protonated states can be proposed from binding energy. From ab-initio results, the FEP simulations were performed for the three following mutations: Ⅰ) Asp25 … Asp125 → AspH25 … Asp125, ⅱ) Asp25 … Asp125 → Asp25 … AspH125, ⅲ) AspH25 … Asp125 → AspH25 … AspH125. The free energy difference between the four states gives the information of the more realistic protonated state of active site aspartic acid. These results provide a theoretical prediction of the protonation state of the catalytic aspartic residues for A74707 complex, and may be useful for the evaluation of potential therapeutic targets.

장수상황버섯과 마황을 이용한 고체발효 추출물로부터 항아토피 활성의 분석 (Analysis of the Anti-Allergic Activities of Active Components Produced by Solid Fermentation of Phellinus baumii and Ephedra sinica)

  • 신용규;허진철;이진형;이상한
    • 한국식품저장유통학회지
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    • 제17권2호
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    • pp.297-300
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    • 2010
  • 여러 가지 한약재의 추출물의 항알러지 활성을 증진시키기 위하여 장수상황버섯의 고체발효 중 시너지 효과를 확인하여 보았다. 그 결과 마황이 좋은 활성을 나타내어 DNFB (dinitrochlorobenzene)에 의해 유발된 접촉성 피부염 알러지 질환 동물모델에서 피부상피조직의 비후정도를 약 50%정도의 수준으로 완화시키며, 이는 면역조직화학적인 방법으로 확인하였다. 이 결과로, 마황 추출액의 장수상황버섯 고체발효의 최적 조건을 확립한다면 향장소재 또는 이의 조성물로 유용하게 이용될 수 있다고 판단된다.

ISO 13485 인증 시스템이 경영성과에 미치는 영향 분석 : 국내 의료기기 제조업을 대상으로 (The Impact of ISO 13485 on the Performance of Korean Medical Device Manufacturers)

  • 김충연;고성석;한용희
    • 산업경영시스템학회지
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    • 제41권1호
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    • pp.11-23
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    • 2018
  • This paper investigated relationship among internal as well as external motive to receive the ISO 13485 certification, countermeasure to the certification examination, active reception/execution level of the certification, and operational as well as financial performance of the medical device related enterprises in South Korea which received and are maintaining the ISO 13485 certification. SEM (structural equation model) and related analyses using AMOS 21.0 and SPSS 21.0 have been applied to verify the hypotheses of the research. Result of the research showed that internal as well as external motive for certification positively(+) affects active reception/execution level of the certification as well as countermeasure to the certification examination. The reception/execution level of the certification also positively(+) affects on the operational as well as financial performance of the certified enterprises. However, countermeasure to the certification examination was found out to negatively(-) affects the active reception/execution level of the certification and we can interpret that relatively more countermeasure to the certification examination burdens the employees of the enterprise, causing them to be less active on the reception/execution level of the certification. This research found that an enterprise's operational/financial performance improves when an enterprise introduces the ISO 13485 certification standard spontaneously on the purpose of improving its system and the certification system is applied to the enterprise actively, not passively. This research emphasizes the need to recognize the difference of the level of active reception implication among members of an enterprise according to the motive of introduction of the certification system.

석고계 바인더를 활용한 습도도절 세라믹 보드의 특성 평가 (Evaluation of Humidity Control Ceramic Board Using Gypsum Binder)

  • 이종규;김태연
    • 한국재료학회지
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    • 제28권1호
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    • pp.62-67
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    • 2018
  • Active clay, bentonite and zeolite were used as porous materials for humidity controlling ceramic boards. The specific area and the pore volume of active clay were higher than bentonite and zeolite. The flexible strength of the gypsum board decreased with an increasing amount of porous material, and the flexible strength was lowest when active clay with a higher specific surface area than others porous materials was added. The specific surface area and total pore volume of ceramic boards containing porous material were highest at $102.25m^2/g$, $0.142cm^3/g$, respectively, when the active clay was added. In addition, as the amount of added porous materials increased, the specific surface area and total pore volume of the ceramic board increased, but the average pore diameter decreased. The addition of s porous materials with a high specific area and a large pore volume improved the moisture absorptive and desorptive performance of the ceramic board. Therefore, in this experiment, the moisture absorptive and desorptive properties were the best when active clay was added. Furthermore, as the amount of added porous materials increased, the moisture absorptive and desorptive properties improved. When 70 mass% of active clay was added to ${\alpha}$-type gypsum, the hygroscopicity was the highest, about $300g/m^2$, in this experiment.

다중 레이블 콘볼루션 신경회로망을 이용한 능동펄스 식별 알고리즘 연구 (A Study of Active Pulse Classification Algorithm using Multi-label Convolutional Neural Networks)

  • 김근환;이석진;이균경;이동화
    • 한국산업정보학회논문지
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    • 제25권4호
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    • pp.29-38
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    • 2020
  • 본 논문에서는 다중 레이블 콘볼루션 신경회로망(Multi-label Convolution Neural Networks)을 이용하는 능동펄스 식별 알고리즘을 제안한다. 제안하는 기법은 기존의 단일 레이블 기반 알고리즘이 여러 개의 신경회로망 구조로 되어 있던 것과 달리 하나의 신경회로망 구조로 능동펄스의 정보를 한번에 획득할 수 있으며, 학습과정 역시 간편해지는 장점이 있다. 제안한 능동펄스 식별 알고리즘을 검증하기 위해서 해상실험 데이터를 이용하여 신경회로망을 학습시키고 성능을 분석하였다. 분석결과 제안한 능동펄스 식별 알고리즘이 수렴하는 것을 확인하였으며, 오차행렬(Confusion Matrix) 분석을 통하여 우수한 능동펄스 식별성능을 가지는 것을 확인하였다.

Active Learning on Sparse Graph for Image Annotation

  • Li, Minxian;Tang, Jinhui;Zhao, Chunxia
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제6권10호
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    • pp.2650-2662
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    • 2012
  • Due to the semantic gap issue, the performance of automatic image annotation is still far from satisfactory. Active learning approaches provide a possible solution to cope with this problem by selecting most effective samples to ask users to label for training. One of the key research points in active learning is how to select the most effective samples. In this paper, we propose a novel active learning approach based on sparse graph. Comparing with the existing active learning approaches, the proposed method selects the samples based on two criteria: uncertainty and representativeness. The representativeness indicates the contribution of a sample's label propagating to the other samples, while the existing approaches did not take the representativeness into consideration. Extensive experiments show that bringing the representativeness criterion into the sample selection process can significantly improve the active learning effectiveness.

Control of an Active Vehicle Suspension Using Electromagnetic Motor

  • Kim, Woo-Sub;Lee, Woon-Sung;Kim, Jung-Ha
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2003년도 ICCAS
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    • pp.282-285
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    • 2003
  • Two criteria of good vehicle suspension performance are typically their ability to provide good road handling and increased passenger comfort. So far, The existing active vehicle suspension uses pneumatic and hydraulic actuators that enhance road handling and passenger comfort. But these kinds of actuators have nonlinear characteristic less than an electromagnetic motor. In this research, we are trying to examine the feasibility and the experiment of an active vehicle suspension using electromagnetic motor in order to enhance the ride quality because existing active vehicle suspension using active power sources such as compressors, hydraulic pumps has nonlinear characteristic. Active vehicle suspension using electromagnetic motor will have the ability to behave differently on smooth and rough roads. The desired response should be soft in order to enhance ride comfort, but when the road surface is too rough the suspension should stiffen up to avoid hitting its limits.

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Fabrication of Hybrid Composite Plates with an Active Frequency Selective Surface

  • Seo, Yun-Seok;Chun, Heoung-Jae;Hong, Ic-Pyo;Park, Young-Bae;Kim, Yoon-Jae
    • Composites Research
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    • 제30권5호
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    • pp.273-279
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    • 2017
  • This paper describes the fabrication techniques and analysis of hybrid composite plates with an active frequency selective surface (FSS). For fabricating hybrid composite plate with active FSS, an active FSS with a resonance frequency located in the C band can obtained using varactor diodes. The hybrid composite plate was first designed and simulated to determine its electromagnetic properties using the commercial software HFSS. After simulation, active FSSs and hybrid composite plates were fabricated by mounting with varactor diodes. After fabrication, free space measurement was used to determine the electromagnetic properties of active FSS and the hybrid composite plates. The simulation and experimental results were in good agreement.

Asymmetric Semi-Supervised Boosting Scheme for Interactive Image Retrieval

  • Wu, Jun;Lu, Ming-Yu
    • ETRI Journal
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    • 제32권5호
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    • pp.766-773
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    • 2010
  • Support vector machine (SVM) active learning plays a key role in the interactive content-based image retrieval (CBIR) community. However, the regular SVM active learning is challenged by what we call "the small example problem" and "the asymmetric distribution problem." This paper attempts to integrate the merits of semi-supervised learning, ensemble learning, and active learning into the interactive CBIR. Concretely, unlabeled images are exploited to facilitate boosting by helping augment the diversity among base SVM classifiers, and then the learned ensemble model is used to identify the most informative images for active learning. In particular, a bias-weighting mechanism is developed to guide the ensemble model to pay more attention on positive images than negative images. Experiments on 5000 Corel images show that the proposed method yields better retrieval performance by an amount of 0.16 in mean average precision compared to regular SVM active learning, which is more effective than some existing improved variants of SVM active learning.

압전세라믹을 이용한 능동진동제어장치의 개발 (Development of the Active Vibration Absorber Using Piezoelectric Actuators)

  • 곽명훈;허석;곽문규
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2001년도 추계학술대회논문집 I
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    • pp.476-481
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    • 2001
  • This research is concerned with development of the active vibration absorber using piezoelectric actuators. This active isolation system consists of a-pairs of PZT actuators bonded on a S-shaped aluminum plate and the passive damping material. The active system is connected to the passive system in series. In this paper, one of the popular control techniques which have been successfully applied to the smart structure is the Positive Position Feedback(PPF) control. The digital PPF control lows downloaded to the DSP chip and a main program, which runs SISO PPF algorithm. The structure and dynamic characteristics of the proposed active vibration isolation system and described in detail. To demonstate the effectiveness of the active vibration control, the PPF controller is first employed. Experimental results show that the active vibration isolation is possible by means of the proposed system.

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