• Title/Summary/Keyword: Time-Sequential Analysis

검색결과 326건 처리시간 0.027초

ATM Traffic Analysis: Burst Scale Probability Function

  • Kemelmacher, E.Rozenshine
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2002년도 ITC-CSCC -2
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    • pp.876-879
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    • 2002
  • The paper presents the analysis and results of traffic measurements in the 155 Mbit/s real working ATM backbone network. The traffic is described as an ordered sequence of real-time cells. In this paper we analyze two timescales in which some form of a stochastic process is taking place: cell scale and burst scale. We present another way to describe the cell flow in ATM networks by definition the function, designed to be the probability of the burst of length ∫in n sequential slots.

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A model of predicting performance of Olympic female weightlifters using time series analysis

  • Won, Jin-hee;Cho, In-ho
    • International Journal of Advanced Culture Technology
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    • 제8권3호
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    • pp.216-222
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    • 2020
  • The purpose of this study was to predict the performance of female weightlifters using time series analysis. Based on this purpose, a time series analysis was used to calculate the performance prediction model for women(58kg) among the domestic women weightlifters who participated in the Olympics. As a result of creating time series data based on 10 years of record and then evaluating the sequential charts of each athlete group, the female athletes' records did not show any seasonality or difference. In addition, after examining the independence of the data through the creation of a time series model, it was shown that the models produced conformed to the criteria for compliance and that there was no difference in the data, but there was a trend. Accordingly, Holt linear trend analysis of the exponential smoothing model was applied. As a result of deriving the prediction model of the athletes through this process, it was found that the women (58kg) who participated in the Olympics continued to improve within the range of 166.11kg to 184.1kg.

User Intention-Awareness System for Goal-oriented Context-Awareness Service

  • Lee, Jung-Eun;Yoon, Tae-Bok;Lee, Jee-Hyong
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제7권2호
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    • pp.154-158
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    • 2007
  • As the technology developed, the system is being developed as the structure that is adapted to the intelligent environment. Therefore, the existing situation information system couldn't provide satisfactory service to the user as it provides service only by the information which it received from the sensor. This paper analyzed the problems of the existing user intention awareness system and suggested user intention awareness system to provide a stable and efficient service that fits to the intention of the user compensating this. This paper has collected the behavior data based on the scenario of the sequential behavior course of the user that occurs at breakfast time in the kitchen which is the home domain environment thai is closely related to our lives. This scenario course also showed the flow that the goal intentional user intention awareness system acted that it suggested, and showed the sequential course processing the user behavior data by tables and charts.

Bayesian Approach for Determining the Order p in Autoregressive Models

  • Kim, Chansoo;Chung, Younshik
    • Communications for Statistical Applications and Methods
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    • 제8권3호
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    • pp.777-786
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    • 2001
  • The autoregressive models have been used to describe a wade variety of time series. Then the problem of determining the order in the times series model is very important in data analysis. We consider the Bayesian approach for finding the order of autoregressive(AR) error models using the latent variable which is motivated by Tanner and Wong(1987). The latent variables are combined with the coefficient parameters and the sequential steps are proposed to set up the prior of the latent variables. Markov chain Monte Carlo method(Gibbs sampler and Metropolis-Hasting algorithm) is used in order to overcome the difficulties of Bayesian computations. Three examples including AR(3) error model are presented to illustrate our proposed methodology.

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Sensor selection approach for damage identification based on response sensitivity

  • Wang, Juan;Yang, Qing-Shan
    • Structural Monitoring and Maintenance
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    • 제4권1호
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    • pp.53-68
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    • 2017
  • The response sensitivity method in time domain has been applied extensively for damage identification. In this paper, the relationship between the error of damage identification and the sensitivity matrix is investigated through perturbation analysis. An index is defined according to the perturbation amplify effect and an optimal sensor placement method is proposed based on the minimization of that index. A sequential sub-optimal algorithm is presented which results in consistently good location selection. Numerical simulations with a two-dimensional high truss structure are conducted to validate the proposed method. Results reveal that the damage identification using the optimal sensor placement determined by the proposed method can identify multiple damages of the structure more accurately.

소프트웨어를 이용한 마비말장애 화자의 일련운동속도 분석 (Analysis of sequential motion rate in dysarthric speakers using a software)

  • 박희준;안신욱;신범주
    • 말소리와 음성과학
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    • 제10권4호
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    • pp.173-177
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    • 2018
  • Purpose: The primary goal of this study was to discover whether the articulatory diadochokinesis (sequential motionrate, SMR) collected using the Motor Speech Disorder Assessment (MSDA) software module can diagnose dysarthria and determine its severity. Methods: Two subject groups, one with spastic dysarthria (n=26) and a control group of speakers (n=30) without neurological disease, were set up. From both groups, the SMR was collected by MSDA at a time, and then analyzed using descriptive statistics. Results: For the parameters of syllable rate, jitter, and the mean syllable length (MSL) at the front and back, the control group displayed better results than the dysarthria patients. Conclusions: At the level of articulatory diadochokinesis, the results showed that the use of MSDA software in clinical practice was generally suitable for quickly recording the parameters of syllable rate, jitter, and mean syllable length.

Up-regulation of Cyelin A-Cdk2 activity is associated with depolarization of mitochondrial membrane potential during apoptosis of human hepatoma SK-HEP1 cells induced by treatment with panaxadiol

  • Park, Byoung-Duck;Jin, Ying-Hua;Yim, Hyung-Shin;Lee, Seung-Ki
    • 대한약학회:학술대회논문집
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    • 대한약학회 2003년도 Proceedings of the Convention of the Pharmaceutical Society of Korea Vol.2-2
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    • pp.167.1-167.1
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    • 2003
  • Here we show that panaxadiol, a ginseng saponin with a dammarane skeleton, induces acute apoptotic cell death in human hepatoma SK-HEP-1 cells as evidenced by analysis of DNA fragmentation, caspase activation, and changes in cell morphology. The kinetic study showed that panaxadiol-induced apoptosis is associated with depolarization of mitochondrial membrane potential and cytochrome c release. Sequential activations of caspases-depolarization of mitochondrial membrane potential and cytochrome c release. Sequential activations of caspases-9, and -3, or -7, but not of caspase 8 coincide well in a time dependent manner with mitochondrial membrane depolarization and cytochrome c release from mitochondria during apoptosis of SK-HEP-1 cells induced by treatment with panaxadiol. (omitted)

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머신러닝을 활용한 알려지지 않은 암호통신 프로토콜 식별 및 패킷 분류 (Identification of Unknown Cryptographic Communication Protocol and Packet Analysis Using Machine Learning)

  • 구동영
    • 정보보호학회논문지
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    • 제32권2호
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    • pp.193-200
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    • 2022
  • 알려지지 않은 암호통신 프로토콜은 개인 및 데이터 프라이버시를 보장한다는 장점이 있을 수 있으나, 악의적 목적에 사용될 경우 기존의 네트워크 보안 장비를 이용하여 이를 식별하고 대응하는 것이 불가능에 가깝다. 특히, 실시간으로 오가는 방대한 양의 트래픽을 수작업으로 분석하는 데에는 한계가 존재한다. 따라서, 본 연구에서는 머신러닝 기법을 활용하여 알려지지 않은 암호통신 프로토콜의 패킷 식별과 패킷의 필드 구분을 시도한다. 순차 패턴과 계층적 군집화, 그리고 피어슨 상관계수를 활용하여 알려지지 않은 암호통신 프로토콜이라 하더라도 그 구조를 자동화하여 분석할 가능성을 확인한다.

열-수리-역학적 연계해석을 위한 OGS-FLAC 시뮬레이터의 성능 평가 (Performance Evaluation of OGS-FLAC Simulator for Coupled Thermal-Hydrological-Mechanical Analysis)

  • 박도현;박찬희
    • 터널과지하공간
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    • 제32권2호
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    • pp.144-159
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    • 2022
  • 본 연구에서는 지반의 열-수리-역학적 복합거동을 모델링하기 위한 순차적 접근법 기반의 시뮬레이터를 개발하고 적용된 연계해석 알고리즘의 계산성능을 분석하였다. 본 연구의 순차적 연계해석에서는 다공성 매질의 열 및 유체거동 분석을 위한 오픈소스 기반의 OpenGeoSys 수치코드와 역학해석을 위한 상용 소프트웨어 FLAC3D가 연동되었다. 해석해가 주어진 열-수리-역학적 복합거동 문제를 토대로 개발된 시뮬레이터에 대한 벤치마크 테스트가 수행되었다. 적용된 벤치마크 문제는 완전포화된 지반 내 점열원 작용 시 지반거동(시간에 따른 온도, 간극수압, 응력, 변형 변화)과 관계된다. 해석해와 수치해석 시뮬레이션 결과를 비교 분석하고 연계해석 시뮬레이터의 적정성을 조사하였다.

운동학습에 의한 왼쪽 하전두영역의 분할비등방성의 변화 (Change of Fractional Anisotropy in the Left Inferior Frontal Area after Motor Learning)

  • 박지원;남기석
    • The Journal of Korean Physical Therapy
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    • 제22권5호
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    • pp.109-115
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    • 2010
  • Purpose: This study was to delineate the structural change of neural pathway after sequential motor learning using diffusion tensor imaging (DTI). Methods: The participants were 16 healthy subjects, which were divided by training (n=8) and control (n=8) group. The task for the training was the Serial Reaction Time Task (SRTT) which was designed by Superlab program. When the 'asterisk' shows up in the 4 partition spaces on the monitor, the subject presses the correct response button as soon as possible. The training group participated in the training program of motor learning with SRTT composed of 24 digits pattern in one hour per daily through 10 days during 2 weeks. Results: In the behavioral results the training group showed significant changes in the increase of response number and the reduction of response time than those of the control group. There was significant difference in the left inferior frontal area in the fractional anisotropy (FA) map of the training group in DTI analysis. Conclusion: Motor sequential learning as like SRTT may be needed to the learning of language and visuospatial processing and may be induced for the experience-dependent structural plasticity during short period.