• Title/Summary/Keyword: consensus

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Sequence Selectivity of DNA Alkylation by Adozelesin and Carzelesin

  • Yoon, Jung-Hoon;Lee, Chong-Soon
    • Archives of Pharmacal Research
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    • v.21 no.4
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    • pp.385-390
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    • 1998
  • Adozelesin and carzelesin are synthetic analogues of the extremely potent antitumor antibiotic CC-1065, which alkylates N3 of adenine in a consensus sequence $5^1$-(A/T)(A/T)$A^*$ ($A^*$ is the site of alkylation). We have investigated the DNA sequence selectivity of adozelesin and carzelesin by thermally ind ced DNA strand cleavage assay using radiolabeled restriction DNA fragments. An analysis of alkylation patterns shows that the consensus sequences for carzelesin and adozelesin have been found to be $5^1$-(A/T)(A/T)$A^*$ and $5^1$-(A/F)(G/C)(A/T)$A^*$. A new consensus sequence, $5^1$-(A/T)(A/T)$CA^*$, has been observed to display an additional alkylation site for adozelesin but not for carzelesin. These results indicate that the pattern of sequence selectivity induced by carzelesin is similar but not identical to those induced by adozelosin.

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Hierarchical Graph Based Segmentation and Consensus based Human Tracking Technique

  • Ramachandra, Sunitha Madasi;Jayanna, Haradagere Siddaramaiah;Ramegowda, Ramegowda
    • Journal of Information Processing Systems
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    • v.15 no.1
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    • pp.67-90
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    • 2019
  • Accurate detection, tracking and analysis of human movement using robots and other visual surveillance systems is still a challenge. Efforts are on to make the system robust against constraints such as variation in shape, size, pose and occlusion. Traditional methods of detection used the sliding window approach which involved scanning of various sizes of windows across an image. This paper concentrates on employing a state-of-the-art, hierarchical graph based method for segmentation. It has two stages: part level segmentation for color-consistent segments and object level segmentation for category-consistent regions. The tracking phase is achieved by employing SIFT keypoint descriptor based technique in a combined matching and tracking scheme with validation phase. Localization of human region in each frame is performed by keypoints by casting votes for the center of the human detected region. As it is difficult to avoid incorrect keypoints, a consensus-based framework is used to detect voting behavior. The designed methodology is tested on the video sequences having 3 to 4 persons.

And The State Will Prevail: The Elder Caregiver Sector in Singapore and Thailand

  • Devasahayam, Theresa W.;Gray, Rossarin
    • SUVANNABHUMI
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    • v.12 no.1
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    • pp.89-110
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    • 2020
  • Singapore and Thailand have been rapidly ageing. There has been a growing demand for eldercarers in the home-setting for which migrant domestic workers have filled the role. This paper examines the Association of Southeast Asian Nations (ASEAN) Consensus governing women migrant workers entering the eldercare sector. It argues that because the ASEAN Consensus is not legally binding, it only serves to reinforce the sovereignty of states in the treatment of migrant workers instead of member states acting in unison to ensure labour protections for this group; as a result, Singapore and Thailand do not feel the need to step up protections for this group of workers according to national labor laws and hence low-skilled women migrant workers entering the eldercare sector continue to be vulnerable to labour abuses. Thus as with globalization, the ASEAN Economic Community manifests the paradox of borders: that while states are economically interconnected and interdependent, they are simultaneously disconnected and independent from each other.

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COLLECTIVE BEHAVIORS OF SECOND-ORDER NONLINEAR CONSENSUS MODELS WITH A BONDING FORCE

  • Hyunjin Ahn;Junhyeok Byeon;Seung-Yeal Ha;Jaeyoung Yoon
    • Journal of the Korean Mathematical Society
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    • v.61 no.3
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    • pp.565-602
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    • 2024
  • We study the collective behaviors of two second-order nonlinear consensus models with a bonding force, namely the Kuramoto model and the Cucker-Smale model with inter-particle bonding force. The proposed models contain feedback control terms which induce collision avoidance and emergent consensus dynamics in a suitable framework. Through the cooperative interplays between feedback controls, initial state configuration tends to an ordered configuration asymptotically under suitable frameworks which are formulated in terms of system parameters and initial configurations. For a two-particle system on the real line, we show that the relative state tends to the preassigned value asymptotically, and we also provide several numerical examples to analyze the possible nonlinear dynamics of the proposed models, and compare them with analytical results.

Design of Fire Detection System Based on Sensor Network (센서 네트워크 기반 화재 감지 시스템 설계)

  • Yuk, Ui-Su;Kim, Seong-Ho
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2006.11a
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    • pp.378-382
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    • 2006
  • 현재 주로 사용되고 있는 화재 감지 장치들은 경고 기반으로 되어 있어 정확한 화재 발생의 위치 검색이 어려우며 장치의 고장이 발생한 경우 고장 유/무의 확인이 어려워 보다 큰 인명 피해 및 재산 피해를 가져올 수 있다. 센서 네트워크 시스템은 통신매체 없이 데이터 송/수신이 가능하며 이를 통한 모니터링 환경의 구축이 쉬워 위치검색 및 고장 검출 알고리즘의 적용이 간단하다. 본 논문에서는 WSN 기반의 화재 감지 시스템을 제안하며 오류검출 알고리즘인 Consensus 알고리즘을 적용하여 그 유용성을 확인하고자 한다.

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Blockchain consensus research for NFT-based digital asset transaction (NFT 기반 디지털 자산 거래를 위한 블록체인 합의 연구)

  • Baek, Yeong Tae;Min, Youn A
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2021.07a
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    • pp.111-112
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    • 2021
  • 비대면 사회 확산에 따라 디지털 콘텐츠 등 온라인상으로 거래가 관리되는 디지털 자산의 거래가 증가하고 있다. 영상 및 이미지 등 디지털 자산의 경우 창작자가 자산에 대한 충분한 대가를 받지 못하고 불법 거래 내역에 대한 파악이 어렵다. 본 논문에서는 NFT적용을 통한 효율적 디지털 자산 관리를 위하여 신뢰성과 보안을 강화한 블록체인 합의알고리즘을 연구하고 성능평가를 통하여 기존 합의알고리즘 대비 우수성을 증명하였다.

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Thailand Consensus on Helicobacter pylori Treatment 2015

  • Mahachai, Varocha;Vilaichone, Ratha-Korn;Pittayanon, Rapat;Rojborwonwitaya, Jarin;Leelakusolvong, Somchai;Kositchaiwat, Chomsri;Mairiang, Pisaln;Praisontarangkul, Ong-Ard;Ovartlarnporn, Buncha;Sottisuporn, Jaksin;Pisespongsa, Pises;Maneerattanaporn, Monthira;Sony, Ravin;Sirinthornpunya, Siam;Chaiyamahapurk, Orawan;Wiwattanachang, Olarn;Sansak, Inchaya;Harnsomboon, Piyathida;Chitapanarux, Taned;Chuenrattanakul, Surapon
    • Asian Pacific Journal of Cancer Prevention
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    • v.17 no.5
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    • pp.2351-2360
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    • 2016
  • Management of Helicobacter pylori infection is an important aspect of many upper gastrointestinal tract diseases, such as chronic gastritis, peptic ulcer disease, gastric cancer and mucosa-associated lymphoid tissue (MALT) lymphoma. The Thailand Consensus on H. pylori treatment 2015 consisted of 22 national experts who took active roles, discussed all important clinical information and investigated clinical aspects in four workshops, focuising on: (1) Diagnosis (2) Treatment (3) Follow-up after eradication and (4) H. pylori infection and special conditions. Experts were invited to participate on the basis of their expertise and contribution to H. pylori works and/or consensus methodology. The results of each workshop were taken to a final consensus vote by all experts. Recommendations were developed from the best evidence and availability to guide clinicians in management of this specific infection associated with variety of clinical outcomes.

Development of the Selected Multi-model Consensus Technique for the Tropical Cyclone Track Forecast in the Western North Pacific (태풍 진로예측을 위한 다중모델 선택 컨센서스 기법 개발)

  • Jun, Sanghee;Lee, Woojeong;Kang, KiRyong;Yun, Won-Tae
    • Atmosphere
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    • v.25 no.2
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    • pp.375-387
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    • 2015
  • A Selected Multi-model CONsensus (SMCON) technique was developed and verified for the tropical cyclone track forecast in the western North Pacific. The SMCON forecasts were produced by averaging numerical model forecasts showing low 70% latest 6 h prediction errors among 21 models. In the homogeneous comparison for 54 tropical cyclones in 2013 and 2014, the SMCON improvement rate was higher than the other forecasts such as the Non-Selected Multi-model CONsensus (NSMCON) and other numerical models (i.e., GDAPS, GEPS, GFS, HWRF, ECMWF, ECMWF_H, ECMWF_EPS, JGSM, TEPS). However, the SMCON showed lower or similar improvement rate than a few forecasts including ECMWF_EPS forecasts at 96 h in 2013 and at 72 h in 2014 and the TEPS forecast at 120 h in 2013. Mean track errors of the SMCON for two year were smaller than the NSMCON and these differences were 0.4, 1.2, 5.9, 12.9, 8.2 km at 24-, 48-, 72-, 96-, 120-h respectively. The SMCON error distributions showed smaller central tendency than the NSMCON's except 72-, 96-h forecasts in 2013. Similarly, the density for smaller track errors of the SMCON was higher than the NSMCON's except at 72-, 96-h forecast in 2013 in the kernel density estimation analysis. In addition, the NSMCON has lager range of errors above the third quantile and larger standard deviation than the SMCON's at 72-, 96-h forecasts in 2013. Also, the SMCON showed smaller bias than ECMWF_H for the cross track bias. Thus, we concluded that the SMCON could provide more reliable information on the tropical cyclone track forecast by reflecting the real-time performance of the numerical models.