• Title/Summary/Keyword: backbone

Search Result 1,090, Processing Time 0.025 seconds

Quality Discrimination on the Internet under Congestion Effects and Strategic Behavior by Users (혼잡효과가 있는 경우의 인터넷 백본서비스의 품질차별화 전략)

  • Jung, Choong-Young
    • Journal of Korea Technology Innovation Society
    • /
    • v.9 no.4
    • /
    • pp.740-758
    • /
    • 2006
  • This paper is related to the optimal pricing of Internet Backbone Services that are differentiated according to the size of the bandwidth required for applications with different quality sensitivities, Itdiscusses IBP (Internet Backbone Provider) optimal nonlinear pricing process in the presence of a congestion externality in addition to strategic behavior by users. In this scenario, the quality of service provided may reach its socially optimal level irrespective of strategic behavior by users and may be independent of the characteristics of the applications delivered over the Internet.

  • PDF

1H, 15N, and 13C backbone assignments and secondary structure of the cytoplasmic domain A of mannitol trasporter IIMannitol from Thermoanaerobacter Tencongensis phosphotransferase system

  • Lee, Ko-On;Suh, Jeong-Yong
    • Journal of the Korean Magnetic Resonance Society
    • /
    • v.19 no.1
    • /
    • pp.42-48
    • /
    • 2015
  • The mannitol transporter Enzyme $II^{Mtl}$ of the bacterial phosphotransferase system has two cytoplasmic phosphoryl transfer domains $IIA^{Mtl}$ and $IIB^{Mtl}$. The two domains are linked by a flexible peptide linker in mesophilic bacterial strains, whereas they are expressed as separated domains in thermophilic strains. Here, we carried out backbone assignment of $IIA^{Mtl}$ from thermophilic Thermoanaerobacter Tencongensis using a suite of heteronuclear triple resonance NMR spectroscopy. We have completed 94% of the backbone assignment, and obtained secondary structural information based on torsion angles derived from the chemical shifts. $IIA^{Mtl}$ of Thermoanaerobacter Tencongensis is predicted to have six ${\beta}$ strands and six ${\alpha}$ helices, which is analogous to $IIA^{Mtl}$ of Escherichia coli.

Backbone NMR chemical shift assignment of transthyretin

  • Kim, Bokyung;Kim, Jin Hae
    • Journal of the Korean Magnetic Resonance Society
    • /
    • v.25 no.1
    • /
    • pp.8-11
    • /
    • 2021
  • Transthyretin (TTR) is an important transporter protein for thyroxine (T4) and a holo-retinol protein in human. In its native state, TTR forms a tetrameric complex to construct the hydrophobic binding pocket for T4. On the other hand, this protein is also infamous for its amyloidogenic propensity, which causes various human diseases, such as senile systemic amyloidosis and familial amyloid polyneuropathy/cardiomyopathy. In this work, to investigate various structural features of TTR with solution-state nuclear magnetic resonance (NMR) spectroscopy, we conducted backbone NMR signal assignments. Except the N-terminal two residues and prolines, backbone 1H-15N signals of all residues were successfully assigned with additional chemical shift information of 13CO, 13Cα, and 13Cβ for most residues. The chemical shift information reported here will become an important basis for subsequent structural and functional studies of TTR.

Weight Distribution of Neural Networks in Computer Vision (컴퓨터 비전에서 신경망의 가중치 분포)

  • Wu, Chenmou;Lee, Hyo-Jon
    • Proceedings of the Korea Information Processing Society Conference
    • /
    • 2022.11a
    • /
    • pp.594-596
    • /
    • 2022
  • Over the last decades, deep neural networks have demonstrated significant success in various tasks. To address the special vision task, choosing a hot network as backbone to extract feature is a common way in both research and industry project. However, the choice of backbone usually requires the expert experience and affects the performance of the classification task. In this work, we propose a novel idea to support backbone decision-making by exploring the feature attribution and weights distribution of hidden layers from various backbones. We first analyze the visualization of feature maps on different size object and different depth layers to observe learning ability. Then, we compared the variance of weights and feature in last three layers. Based on analysis of the feature and wights, we summarize the traits and commonalities of existing networks.

Analysis of junction between T-DNA and plant genome in insect resistance GM Chinese cabbage (해충저항성 GM 배추에서 T-DNA와 식물체 게놈의 인접 부위 분석)

  • Lim, Sun-Hyung;Park, Seung-Hye;Kim, Jung-Hwan;Kim, Na-Young;Won, So-Youn;Lee, Si-Myung;Shin, Kong-Sik;Woo, Hee-Jong;Kim, Dong-Hern;Cho, Hyun-Suk
    • Journal of Plant Biotechnology
    • /
    • v.35 no.2
    • /
    • pp.101-108
    • /
    • 2008
  • The Agrobacterium-mediated transformation has been successfully used method to introduce foreign genes into some monocotyledonous as well as a large number of dicotyledonous plants genome, We developed transgenic Chinese cabbage plants with insect-resistance gene, modified CryIAc, by Agrobacterium-transformation and confirmed transgene copy number by Southern blot analysis. We confirmed that twenty-nine out of 46 transgenic Chinese cabbage plants have single copy of CryIAc. To obtain the sequences information on the transferred DNA (T-DNA) integration into plant genome, we analyzed left border (LB) flanking sequences by genome walking (GW) PCR method. Out of 46 transgenic Chinese cabbage plants examined, 37 carried the vector backbone sequences. This result indicates that the transfer of the vector backbone from the binary vectors resulted mainly from inefficient termination of LB site. Analysis of T-DNA LB flanking region of 9 transgenic Chinese cabbage plants without vector backbone revealed that all LB ends were not conserved and nucleotides up to 36bp from the LB cleavage site were deleted.

Transfer Learning Backbone Network Model Analysis for Human Activity Classification Using Imagery (영상기반 인체행위분류를 위한 전이학습 중추네트워크모델 분석)

  • Kim, Jong-Hwan;Ryu, Junyeul
    • Journal of the Korea Society for Simulation
    • /
    • v.31 no.1
    • /
    • pp.11-18
    • /
    • 2022
  • Recently, research to classify human activity using imagery has been actively conducted for the purpose of crime prevention and facility safety in public places and facilities. In order to improve the performance of human activity classification, most studies have applied deep learning based-transfer learning. However, despite the increase in the number of backbone network models that are the basis of deep learning as well as the diversification of architectures, research on finding a backbone network model suitable for the purpose of operation is insufficient due to the atmosphere of using a certain model. Thus, this study applies the transfer learning into recently developed deep learning backborn network models to build an intelligent system that classifies human activity using imagery. For this, 12 types of active and high-contact human activities based on sports, not basic human behaviors, were determined and 7,200 images were collected. After 20 epochs of transfer learning were equally applied to five backbone network models, we quantitatively analyzed them to find the best backbone network model for human activity classification in terms of learning process and resultant performance. As a result, XceptionNet model demonstrated 0.99 and 0.91 in training and validation accuracy, 0.96 and 0.91 in Top 2 accuracy and average precision, 1,566 sec in train process time and 260.4MB in model memory size. It was confirmed that the performance of XceptionNet was higher than that of other models.

Dynamic p-y Backbone Curves for a Pile in Saturated Sand (포화 사질토 지반에서의 동적 p-y 중추곡선)

  • Yang, Eui-Kyu;Yoo, Min-Taek;Kim, Hyun-Uk;Kim, Myoung-Mo
    • Journal of the Korean Geotechnical Society
    • /
    • v.25 no.11
    • /
    • pp.27-38
    • /
    • 2009
  • In this study, a series of 1 g shaking table model pile tests were carried out in saturated dense and loose sand to evaluate dynamic p-y curves for various conditions of flexural stiffness of a pile shaft, acceleration frequency and acceleration amplitude for input loads. Dynamic p-y backbone curve which can be applied to pseudo static analysis for saturated dense sand was proposed as a hyperbolic function by connecting the peak points of the experimental p-y curves, which corresponded to maximum soil resistances. In order to represent the backbone curve numerically, empirical equations were developed for the initial stiffness ($k_{ini}$) and the ultimate capacity ($p_u$) of soils as a function of a friction angle and a confining stress. The applicability of a p-y backbone curve was evaluated based on the centrifuge test results of other researchers cited in literature, and this suggested backbone curve was also compared with the currently available p-y curves. And also, the scaling factor ($S_F$) to account for the degradation of soil resistance according to the excess pore pressure was developed from the results of saturated loose sand.

The Evolution Strategies of the DACOM Metro IP Backbone Networks (데이콤 Metro IP 백본망의 구성방안)

  • 이승민;강현서;백승환;이동열
    • Proceedings of the IEEK Conference
    • /
    • 2000.11a
    • /
    • pp.429-432
    • /
    • 2000
  • With the unprecedented growth in internet traffic, demand for larger, more scaleable IP backbone networks is seemingly limitless. This critical requirement is leading the DACOM to investigate architectural alternatives for cost effective, scaleable and flexible IP backbones. In this paper, we present three alternatives for IP backbones using DWDM systems and multi-gigabit IP Routers in the DACOM metro networks, and then compare them by performing an economic analysis.

  • PDF

A Simulation of BCT(Backbone Core Tree) Generation Algorithm for Multicasting (멀티캐스팅을 위한 BCT생성 알고리즘의 시뮬레이션)

  • 서현곤;김기형
    • Proceedings of the Korea Society for Simulation Conference
    • /
    • 2002.05a
    • /
    • pp.67-71
    • /
    • 2002
  • 본 논문에서는 many-to-many IP 멀티캐스팅을 위한 효율적인 BCT(Backbone Core Tree)생성 알고리즘의 시뮬레이션 방법에 대하여 제안한다. BCT는 기법은 CBT(Core Based Tree)에 기반을 두고 있다. CBT는 공유 트리를 이용하여 멀티캐스트 자료를 전달하기 때문에 Source based Tree에 비하여 각 라우터가 유지해야 하는 상태 정보의 양에 적고, 적용하기 간단하지만, Core 라우터 선택의 어려움과 트래픽이 Core로 집중되는 문제점을 가지고 있다. 이에 대한 보완책으로 BCT기법이 제안되었는데, 본 논문에서는 주어진 네트워크 위상 그래프에서 최소신장 트리를 만들고, 센트로이드(Centroid)를 이용하여 효율적인 BCT를 생성하는 알고리즘을 제안하고 시뮬레이션 방법을 제시한다.

  • PDF

Quenching of Water Soluble Conjugated Polymer by Electrostatic Interaction

  • Jin, Youngeup
    • Bulletin of the Korean Chemical Society
    • /
    • v.33 no.11
    • /
    • pp.3593-3596
    • /
    • 2012
  • The water-soluble conjugated polymer with fluorescence quenching as a result of electrostatic interaction and aggregation was synthesized through Suzuki polymerization. The absorption and emission of anionic polymer (a-PFP) is blue shifted as compared with cationic polymer (c-PFP) although getting same backbone, and the absolute PL quantum efficiency of a-PFP in water is over 90% due to good solubility in aqueous solution. We anticipate that the fluorescence quenching of anionic and cationic polymers, with same conjugated backbone, could be shown in aqueous solution.