• 한국정보과학회논문지:정보통신
• /
• 제36권2호
• /
• pp.69-79
• /
• 2009

오늘날의 인터넷은 일상생활에서 필수적인 요소가 되었으며, 인터넷의 이상 현상은 사회적 문제가 되고 있다. 이 때문에 인터넷 트래픽의 특성을 연구하기 위한 인터넷 측정 연구가 주목을 받고 있다. 특히 최근에는 트래픽 분산 그래프(TDG, Traffic Dispersion Graph)라는 새로운 트래픽 분석 기법이 제안되었다. TDG는 기존의 트래픽의 통계적 표현과 분석이 아닌, 그래프를 이용하여 네트워크 요소들의 상호작용을 표현하는 기법이다. 본 연구에서는 새로운 이상 탐지 기법의 패러다임과 TDG를 활용한 이상 탐지 기법을 제시한다. 기존의 이상 탐지 패러다임은 "비정상 패킷이나 플로우(Abnormal Packets or Flows)를 탐지하여 제거하자"는 것이지만, 본 연구에서는 "이상 트래픽의 근원이 되는 이상 호스트(Anomalous Hosts)를 탐지하여 이상 현상에 대응할 것"을 제안한다. 이를 위해서 TDG 클러스터링 기법(TDG Clustering Technique)을 고안하였다. 제안한 기법에 대한 실험에서 짧은 시간 안에 웜 바이러스(Worm Virus)에 감염된 호스트들을 찾아낼 수 있었고, 그 호스트들이 발생하는 이상 트래픽을 제거하여 정상적인 트래픽을 얻을 수 있었다. TDG 클러스터링 기법은 연산 속도가 빠르므로 실시간 이상 탐지에 적용될 수 있을 것으로 기대된다.

• 한국건설순환자원학회논문집
• /
• 제4권2호
• /
• pp.90-96
• /
• 2009

최근 도심부의 건축구조물이 점차 고층화함에 따라 고강도 콘크리트에 대한 요구가 증가하고 있다. 특히 100 MPa 이상의 초고강도 콘크리트에는 산업부산물로서 강도증진 등의 목적에 사용되는 SF와 공사비 절감 및 장기강도증진 등의 목적에 사용되는 FA 및 BS 등 광물질 혼화재의 분상성과 관련한 유동성 검토가 매우 중요하다. 즉, 각각의 혼화재들이 가진 고결현상으로 인하여 분산성이 크게 저하되어 유동성을 저감시키는 문제가 발생한다. 따라서 본 연구에서는 이를 개선시키기 위해 프리믹스 시멘트의 효과를 분석하기 위하여 시멘트 페이스트의 유동성 실험을 하였는데, 그 결과를 요약하면 다음과 같다. 먼저 결합재 종류에 따라서는 OFS의 경우보다 OBS의 경우가 유동성이 증가하였는데, 이는 OBS의 경우는 BS의 유리질 표면에 의해 유동성이 증가하고, OFS의 경우는 FA의 혼화제 흡착작용에 의한 점성이 증가하여 유동성이 감소하였다. 혼합방법에 따라서는 개별혼합의 경우보다 프리믹스의 경우가 유동성이 증가하였는데, 이는 개별혼합의 경우는 페이스트 혼합 시 각각의 결합재가 균일하게 분산되기 어렵기 때문에 유동성이 나쁘게 나타난 반면, 프리믹스의 경우는 분산성이 증가하여 상대적으로 유동성이 양호하게 나타났다. 또한 믹싱시간은 30, 60, 180초로 길어질수록 결합재의 분산성이 좋아지고, SP제가 페이스트 입자 사이에 균등하게 분포되어 유동성이 증가하였다.

• Journal of the Korean Statistical Society
• /
• 제28권2호
• /
• pp.211-223
• /
• 1999

We propose a simple estimation procedure in the mixed linear models with censored normal data, using both Buckly and James(1979) type pseudo random variables and Lee and Nelder's(1996) estimation procedure. The proposed method is illustrated with the matched pairs data in Pettitt(1986).

• 한국분말야금학회:학술대회논문집
• /
• 한국분말야금학회 2003년도 international symposium on advanced powder metallurgy
• /
• pp.62-63
• /
• 2003

The inter-particle distance between diamonds on the segment surface of sawing blade predicted theoretically and measured experimentally followed a Gamma or Weibull function, rather than a normal distribution function. These results suggest that random dispersion of diamond particles in the segment may not be an efficient way of improving cutting efficiency of the blade.

• 한국전기전자재료학회논문지
• /
• 제14권1호
• /
• pp.84-92
• /
• 2001

In this papers, we proposed the new method in order to diagnosis aging state of transformers. For wavelet transform, Daubechies filter is used, we can obtain wavelet coefficients which is used to extract feature of statistical parameters (maximum value, average value, dispersion skewness, kurtosis) about each acoustic emission signal. Also, these coefficients are used to identify normal and fault signal of internal partial discharge in transformer. As improved method for classification use neural network. Extracted statistical parameters are input into an back-propagation neural network. The number of neurons of hidden layer are obtained through Result of Cross-Validation. The network, after training, can decide whether the test signal is early aging state, alst aging state or normal state. In quantity analysis, capability of proposed method is superior to compared that of classical method.

• Progress in Superconductivity
• /
• 제13권1호
• /
• pp.47-51
• /
• 2011

Mono-atomic-layer graphene is an interesting system for studying the relativistic carrier transport arising from a linear energy-momentum dispersion relation. An easy control of the carrier density in graphene by applying an external gate field makes the system even more useful. In this study, we measured the Josephson current in a device consisting of mono-layer graphene sheet sandwiched between two closely spaced (~300 nm) aluminum superconducting electrodes. Gate dependence of the supercurrent in graphene Josephson junction follows the gate dependence of the normal-state conductance. The gate-tunable and relatively large supercurrent in a graphene Josephson junction would facilitate our understanding on the weak-link behavior in a superconducting-normal metal-superconducting (SNS) type Josephson junction.

• Preventive Nutrition and Food Science
• /
• 제8권2호
• /
• pp.179-184
• /
• 2003

The use of high amylose maize varieties significantly affected the alkaline-cooking process and characteristics of alkaline-processed food products, such as masa and tortilla chips. High amylose maize varieties had softer endosperm textures with move tightly attached pericarps than normal maize. Masa prepared from high amylose mutant maize was less cohesive than that of normal maize due to insufficient dispersion of amylopectin and excessive retrogradation of starches. Tortilla chips prepared from amylose-extender dull (ae du), amylomaize V, and Ⅶ had slightly increased oil absorption, while tortilla chips from dull (du) and amylose-extender sugary-2 (ae su-2) had oil contents similar to that of control chips. Increased oil absorption of the tortilla chips was due to their increased surface area. Tortilla chips produced from high amylose mutant maize had darker color than control chips, presumably due to the pigmented pericarp tissues, higher levels of reducing sugars, and phenolic compounds present in the kernel.

• Communications for Statistical Applications and Methods
• /
• 제13권2호
• /
• pp.309-318
• /
• 2006

There are many statistical methods of testing the equality of two population variances. Among them, the well-known F test is very sensitive to the normality assumption. Several other tests that do not assume normality have been proposed, but these tests usually need tables of critical values or software for hypotheses testing. McGrath and Yeh (2005) suggested a quick and compact Count Five test requiring only the calculation of the number of extreme points. Since the Count Five test uses only extreme values, this discards some information from the samples, often resulting in a degradation in power. In this paper, an alternative Count Five test using the trimmed mean is proposed and its properties are discussed for some distributions and normal mixtures.

• 산업경영시스템학회지
• /
• 제39권3호
• /
• pp.10-17
• /
• 2016

Control Chart is a graph which dots the characteristic values of a process. It is the tool of statistical technique to keep a process in controlled condition. It is also used for investigating the state of a process. Therefore many companies have used Control Chart as the tool of statistical process control (SPC). Products from a production process represent accidental dispersion values around a certain reference value. Fluctuations cause of quality dispersion is classified as a chance cause and a assignable cause. Chance cause refers unmanageable practical cause such as operator proficiency differences, differences in work environment, etc. Assignable cause refers manageable cause which is possible to take actions to remove such as operator inattention, error of production equipment, etc. Traditionally ${\bar{x}}-R$ control chart or ${\bar{x}}-s$ control chart is used to find and remove the error cause. Traditional control chart is to determine whether the measured data are in control or not, and lets us to take action. On the other hand, RNELCC (Reflected Normal Expected Loss Control Chart) is a control chart which, even in controlled state, indicates the information of economic loss if a product is in inconsistent state with process target value. However, contaminated process can cause control line sensitive and cause problems with the detection capabilities of chart. Many studies on robust estimation using trimmed parameters have been conducted. We suggest robust RNELCC which used the idea of trimmed parameters with RNEL control chart. And we demonstrate effectiveness of new control chart by comparing with ARL value among traditional control chart, RNELCC and robust RNELCC.

• 한국대기환경학회지
• /
• 제31권5호
• /
• pp.461-471
• /
• 2015

Base on emission factors derived from National Institute of Environmental Research, Particulate matter from combined cycle power plants (CCPPs) has been estimated to be a important source of $PM_{10}$. Generally there is no serious emission of particulate matter in CCPPs. because the fuel of them is natural gas. But emission gas after long shut down season has very high dust content. Therefore $PM_{10}$ emission rate is dependent on its operation mode. In this study, particulate dispersion study for new city near CCPPs complex has performed using CALPUFF model for three case. $PM_{10}$ concentration has big difference between normal operation and 2 case start-up condition after long shutdown. In normal operating conditions, daily $0.32{\sim}0.50{\mu}g/m^3$ influence on of the surrounding area. But when 1~2 aerobic high concentration discharged conditions, average concentration is higher about $9.2{\sim}34.1{\mu}g/m^3$ than normal operating conditions.