• 제목/요약/키워드: Threshold model

검색결과 1,451건 처리시간 0.023초

MULTIPLE FLUX SYSTEMS AND THEIR WINDING ANGLES IN HALO CME SOURCE REGIONS

  • Kim, Hye- Rim;Moon, Y.J.;Jang, Min-Hwan;Kim, R.S.;Kim, Su-Jin;Choe, G.S.
    • 천문학회지
    • /
    • 제41권6호
    • /
    • pp.181-186
    • /
    • 2008
  • Recently, Choe & Cheng (2002) have demonstrated that multiple magnetic flux systems with closed configurations can have more magnetic energy than the corresponding open magnetic fields. In relation to this issue, we have addressed two questions: (1) how much fraction of eruptive solar active regions shows multiple flux system features, and (2) what winding angle could be an eruption threshold. For this investigation, we have taken a sample of 105 front-side halo CMEs, which occurred from 1996 to 2001, and whose source regions were located near the disk center, for which magnetic polarities in SOHO/MDI magnetograms are clearly discernible. Examining their soft X-ray images taken by Yohkoh SXT in pre-eruption stages, we have classified these events into two groups: multiple flux system events and single flux system events. It is found that 74% (78/105) of the sample events show multiple flux system features. Comparing the field configuration of an active region with a numerical model, we have also found that the winding angle of the eruptive flux system is slightly above $1.5{\pi}$.

개선된 퍼지 클러스터링 (Improved Fuzzy Clusteirng)

  • 김승석;김성수;유정웅
    • 한국지능시스템학회논문지
    • /
    • 제15권1호
    • /
    • pp.6-11
    • /
    • 2005
  • 본 논문에서는 지능형 시스템의 초기 구조 및 파라미터 최적화에 필요한 개선된 성능의 퍼지 클러스터링 방법을 제안한다. 일반적인 클러스터링의 유용한 특성을 유지하면서 시스템의 구성을 적응적으로 변화시켜 전체 시스템의 학습과 성능을 개선할 수 있도록 하였다. 특히, 클러스터링 과정에서 발생하는 초기 파라미터 결정 문제와 최적화 문제를 동시에 만족하면서 일정한 구조로 수련하는 제안된 방법의 특성을 이용하여 지능형 모델에서 필요로 하는 조건이나 패턴의 구조를 자율적으로 추정하였다. 실험에서는 제안된 클러스터링 방법을 기존의 연구된 알고리즘과 비교하여 제안된 방법의 우수성을 보였다.

다층/ART2 신경회로망을 이용한 고장진단 (A Fault Diagnosis Based on Multilayer/ART2 Neural Networks)

  • 이인수;유두형
    • 한국지능시스템학회논문지
    • /
    • 제14권7호
    • /
    • pp.830-837
    • /
    • 2004
  • 본 논문에서는 비선형시스템에서 발생한 고장을 감지하고 분류하기 위한 신경회로망기반 고장진단 방법을 제안한다. 제안한 알고리듬에서는 시스템의 출력과 다층신경회로망 공칭모델 출력 사이의 오차가 미리 설정한 문턱값을 넘으면 고장을 감지한다. 고장이 감지되면 다층신경회로망과 ART2 신경회로망을 이용한 고장분류기에서 시스템에서 발생한 고장을 분류한다. 컴퓨터 시뮬레이션 결과로부터 제안한 고장진단방법이 비선형시스템에서의 고장감지 및 분류문제에 잘 적용됨을 알 수 있다.

Multi-Channel MAC Protocol Using Statistical Channel Utilization for Cognitive Networks

  • Xiang, Gao;Zhu, Wen-Min;Park, Hyung-Kun
    • Journal of information and communication convergence engineering
    • /
    • 제8권3호
    • /
    • pp.273-276
    • /
    • 2010
  • Opportunistic spectrum access (OSA) allows unlicensed users to share licensed spectrum in space and time with no or little interference to primary users, with bring new research challenges in MAC design. We propose a cognitive MAC protocol using statistical channel information and selecting appropriate idle channel for transmission. The protocol based on the CSMA/CA, exploits statistics of spectrum usage for decision making on channel access. Idle channel availability, spectrum hole sufficiency and available channel condition will be included in algorithm statistical information. The model include the control channel and data channel, the transmitter negotiates with receiver on transmission parameters through control channel, statistical decision results (successful rate of transmission) from exchanged transmission parameters of control channel should pass the threshold and decide the data transmission with spectrum hole on data channel. The proposed protocol's simulation will show that proposed protocol does improve the throughput performance via traditional opportunistic spectrum access MAC protocol.

한반도에서 여름철 폭염이 일 사망률에 미치는 영향 (Influences of Heat Waves on Daily Mortality in South Korea)

  • 김지영;이대근;박일수;최병철;김정식
    • 대기
    • /
    • 제16권4호
    • /
    • pp.269-278
    • /
    • 2006
  • Extremely hot weathers may cause major weather-related deaths in the summertime. Influences of heat waves on daily mortalities in 6 major cities of South Korea were investigated. Daily deaths at Seoul were exponentially increased with the daily maximum temperature. However, there were regional differences of the temperature dependence on the mortality because of an acclimation effect of inhabitants. The threshold temperature (with respect to daily maximum temperature) at Seoul was found to be about $31^{\circ}C$ provided that it is determined by a two-phase regression model. The meteorological causes of recordable hot summer in late July of 1994 and their impacts on human health were also investigated. Strong surface heating caused by strong insolation under conditions with clear sky and dry surface due to prolonged drought was likely to be closely associated with the extreme hot weather in 1994 in South Korea.

이동 통신망에서 적응형 구조의 호 저하 시간 비율 추정 (Estimation of Degradation Period Ratio for Adaptive Framework in Mobile Cellular Networks)

  • 정성환;이세진;홍정완;이창문
    • 한국경영과학회:학술대회논문집
    • /
    • 한국경영과학회/대한산업공학회 2003년도 춘계공동학술대회
    • /
    • pp.441-447
    • /
    • 2003
  • Recently there is a growing Interest In mobile cellula r network providing multimedia service. However, the link bandwidth of mobile cellular network is not sufficient enough to provide satisfactory services to use rs. To overcome this problem, an adaptive framework has been proposed in this study, we propose a new method of estimating DPR(degradation period ratio) in an adaptive multimedia network where the bandwidth of ongoing call can be dynamically adjusted during its lifetime. DPR is a QoS(quality of service) parameter which represents the ratio of allocated bandwidth below a pre-defined target to the whole service time of a call. We improve estimation method of DPR using DTMC(discrete time Markov chain) model. We also calculate mean degradation period and degradation probability more precisely than in existing studies. Under Threshold CAC(call admission control) algorithm, we present analytically how to guarantee QoS to users and illustrate the method by numerical examples. The proposed method is expected to be used as one of CAC schemes in guaranteeing predefined QoS level of DPR

  • PDF

Hydrodynamic coupling distance between a falling sphere and downstream wall

  • Lin, Cheng-Chuan;Huang, Hung-Tien;Yang, Fu-Ling
    • Coupled systems mechanics
    • /
    • 제7권4호
    • /
    • pp.407-420
    • /
    • 2018
  • In solid-liquid two phase flow, the knowledge of how descending solid particles affected by the presence of downstream wall is important. This work studies at what interstitial distance the velocity of a vertically descending sphere is affected by a downstream wall as a consequence of wall-modified hydrodynamic forces through a validated dynamic model. This interstitial distance-the hydrodynamic coupling distance ${\delta}_c-is$ found to decay monotonically with the approach Stokes number St which compares the particle inertia to viscous drag characterized by the quasi-steady Stokes' drag. The scaling relation ${\delta}_c-St-1$ decays monotonically as literature below the value of St equal to 10. However, the faster diminishing rate is found above the threshold value from St=10-40. Furthermore, an empirical relation of ${\delta}_c-St$ shows dependence on the drop height which clearly indicates the non-negligible effect of unsteady hydrodynamic force components, namely the added mass force and the history force. Finally, we attempt a fitting relation which embedded the particle acceleration effect in the dependence of fitting constants on the diameter-scaled drop height.

동적 배경에서의 고밀도 광류 기반 이동 객체 검출 (Dense Optical flow based Moving Object Detection at Dynamic Scenes)

  • 임효진;최연규;구엔 칵 쿵;정호열
    • 대한임베디드공학회논문지
    • /
    • 제11권5호
    • /
    • pp.277-285
    • /
    • 2016
  • Moving object detection system has been an emerging research field in various advanced driver assistance systems (ADAS) and surveillance system. In this paper, we propose two optical flow based moving object detection methods at dynamic scenes. Both proposed methods consist of three successive steps; pre-processing, foreground segmentation, and post-processing steps. Two proposed methods have the same pre-processing and post-processing steps, but different foreground segmentation step. Pre-processing calculates mainly optical flow map of which each pixel has the amplitude of motion vector. Dense optical flows are estimated by using Farneback technique, and the amplitude of the motion normalized into the range from 0 to 255 is assigned to each pixel of optical flow map. In the foreground segmentation step, moving object and background are classified by using the optical flow map. Here, we proposed two algorithms. One is Gaussian mixture model (GMM) based background subtraction, which is applied on optical map. Another is adaptive thresholding based foreground segmentation, which classifies each pixel into object and background by updating threshold value column by column. Through the simulations, we show that both optical flow based methods can achieve good enough object detection performances in dynamic scenes.

Reliability Characteristics of La-doped High-k/Metal Gate nMOSFETs

  • Kang, C.Y.;Choi, R.;Lee, B.H.;Jammy, R.
    • JSTS:Journal of Semiconductor Technology and Science
    • /
    • 제9권3호
    • /
    • pp.166-173
    • /
    • 2009
  • The reliability of hafnium oxide gate dielectrics incorporating lanthanum (La) is investigated. nMOSFETs with metal/La-doped high-k dielectric stack show lower $V_{th}$ and $I_{gate}$, which is attributed to the dipole formation at the high-k/$SiO_2$ interface. The reliability results well correlate with the dipole model. Due to lower trapping efficiency, the La-doping of the high-k gate stacks can provide better PBTI immunity, as well as lower charge trapping compared to the control HfSiO stacks. While the devices with La show better immunity to positive bias temperature instability (PBTI) under normal operating conditions, the threshold voltage shift (${\Delta}V_{th}$) at high field PBTI is significant. The results of a transconductance shift (${\Delta}G_m$) that traps are easily generated during high field stress because the La weakens atomic bonding in the interface layer.

THE DEVELOPMENT OF IR-BASED VISIBLE CHANNEL CALIBRATION USING DEEP CONVECTIVE CLOUDS

  • Ham, Seung-Hee;Sohn, Byung-Ju
    • 대한원격탐사학회:학술대회논문집
    • /
    • 대한원격탐사학회 2008년도 International Symposium on Remote Sensing
    • /
    • pp.430-432
    • /
    • 2008
  • Visible channel calibration method using deep convective clouds (DCCs) is developed. The method has advantages that visible radiance is not sensitive to cloud optical thickness (COT) for deep convective clouds because visible radiance no longer increases when COT exceeds 100. Therefore, once DCCs are chosen appropriately, and then cloud optical properties can be assumed without operational ancillary data for the specification of cloud conditions in radiative transfer model. In this study, it is investigated whether IR measurements can be used for the selection of DCC targets. To construct appropriate threshold value for the selection of DCCs, the statistics of cloud optical properties are collected with MODIS measurements. When MODIS brightness temperature (TB) at 11 ${\mu}$ m is restricted to be less than 190 K, it is shown that more than 85% of selected pixels show COT ${\geq}$ 100. Moreover, effective radius ($r_e$) distribution shows a sharp peak around 20 ${\mu}m$. Based on those MODIS observations, cloud optical properties are assumed as COT = 200 and $r_e$ = 20 ${\mu}m$ for the simulation of MODIS visible (0.646 ${\mu}m$) band radiances over DCC targets.

  • PDF