• Title/Summary/Keyword: Service Variability

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Variability Analysis Approach for Business Process Family Models (비즈니스 프로세스 패밀리 모델을 위한 가변성 분석 방법)

  • Moon, Mi-Kyeong;Yeom, Keun-Hyuk
    • The KIPS Transactions:PartD
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    • v.15D no.5
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    • pp.621-628
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    • 2008
  • Many of today's businesses need IT system's flexibility for on-demand business which can be rapidly adapted to environment changes. Service oriented architecture (SOA) provides the infrastructure which makes business flexibility possible under the on-demand operating environment. Therefore, to satisfy these requirements, new approach for assuring business flexibility and enhancing reuse is needed. In this paper, we propose an approach for developing a business process family model (BPFM) in which the variabilities in business process family can be explicitly represented by using the variability analysis method of software product line. In addition, we describe the supporting tool for this approach. It can model the BPFM and generate automatically BPMs through decision and pruning process from BPFM. By using our approach, the business and its IT system can correspond to business environment changes rapidly and efficiently.

Pulse wave analysis system using wrist type oximeter for u-Health service (u-Health 서비스 지원을 위한 착용형 옥시미터를 이용한 맥파 분석 시스템)

  • Jung, Sang-Joong;Seo, Yong-Su;Chung, Wan-Young
    • Journal of Sensor Science and Technology
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    • v.19 no.1
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    • pp.17-24
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    • 2010
  • This paper describes a real time reliable monitoring method and analysis system using wrist type oximeter for ubiquitous healthcare service based on IEEE 802.15.4 standard. Photoplethysmograph(PPG) is simple and cost effective technique to measure blood volume change. In order to obtain and monitor physiological body signals continuously, a small size and low power consumption wrist type oximeter is designed for the measurement of oxygen saturation of a patient unobtrusively. The measured data is transferred to a central PC or server computer by using wireless sensor nodes in wireless sensor network for storage and analysis purposes. LabVIEW server program is designed to monitor stress indicator from heart rate variability(HRV) and process the measured PPG to accelerated plethysmograph(APG) by appling second order derivatives in server PC. These experimental results demonstrate that APG can precisely describe the features of an individual's PPG and be used as estimation of vascular elasticity for blood circulation.

A Study on Sensitivity of Heavy Precipitation to Domain Size with a Regional Numerical Weather Prediction Model (지역예측모델 영역 크기에 따른 집중호우 수치모의 민감도 실험)

  • Min, Jae-Sik;Roh, Joon-Woo;Jee, Joon-Bum;Kim, Sangil
    • Atmosphere
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    • v.26 no.1
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    • pp.85-95
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    • 2016
  • In this study, we investigated the variabilities of wind speed of 850 hPa and precipitable water over the East Asia region using the NCEP Final Analysis data from December 2001 to November 2011. A large variance of wind speed was observed in northern and eastern China during the winter period. During summer, the regions of the East China Sea, the South Sea of Japan and the East Sea show large variances in the wind speed caused by an extended North Pacific High and typhoon activities. The large variances in the wind speed in the regions are shown to be correlated with the inter-annual variability of precipitable water over the inland region of windward side of the Korean Peninsula. Based on the investigation, sensitivity tests to the domain size were performed using the WRF model version 3.6 for heavy precipitation events over the Korean Peninsula for 26 and 27 July 2011. Numerical experiments of different domain sizes were set up with 5 km horizontal and 50 levels vertical resolutions for the control and the first experimental run, and 9 km horizontal for the second experimental run. We found that the major rainfalls correspond to shortwave troughs with baroclinic structure over Northeast China and extended North Pacific High. The correlation analysis between the observation and experiments for 1-h precipitation indicated that the second experiment with the largest domain had the best performance with the correlation coefficient of 0.79 due to the synoptic-scale systems such as short-wave troughs and North Pacific High.

Mobile Self-Adaptable Customization Technique based on Data Variability (데이터 가변성 기반 모바일 자가적응 커스터마이제이션 기법)

  • Kim, Chul-Jin
    • The Journal of the Korea Contents Association
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    • v.12 no.8
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    • pp.96-104
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    • 2012
  • The reusability problems in the existing object-oriented development method and component development method is the problem that should be also resolved in the mobile development. Changing the function in mobile applications need to upgrade the entire mobile application, which can cause problems in mobile application in conjunction with other applications within the device. Thus, the changable functions in mobile application should be developed by considering their reusability. In this paper, we propose the customization technique that can be improved reusability for a variety of requirements of mobile application. We propose the self-adaptable customization technique that can change dynamically for the function to require changes by applying the data variability among variabilities.

Proof of the Variability Propagation Principle in a Pull Serial Line : Existence and Measurement (풀흐름라인에서 변동성전파원리에 대한 증명 : 존재와 측정)

  • Choe, Sang-Woong
    • Journal of the Korean Operations Research and Management Science Society
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    • v.27 no.4
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    • pp.185-205
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    • 2002
  • In this study, we consider infinite supply of raw materials and backlogged demands as given two boundary conditions. And we need not make any specific assumptions about the inter-arrival of external demand and service time distributions. Under these situations, the ultimate objective of this study is to prove the variability propagation principle in a pull serial line and is to measure it in terms of the first two moments of the inter-departure process subject to number of cards in each cell. Two preparations are required to achieve this objective : The one is to derive a true lower bound of variance of the inter-departure process. The other is to establish a constrained discrete minimax problem for the no backorder (backlogging) probabilities in each cell. We may get some fundamental results necessary to a completion for the proof through the necessary and sufficient conditions for existence of optimal solution of a constrained discrete minimax problem and the implicit function theorem. finally, we propose a numeric model to measure the variability propagation principle. Numeric examples show the validity and applicability of our study.

Robust QFD : Framework and a Case Study (Robust QFD : 체계 및 적용사례)

  • Kim Deok-Hwan;Kim Gwang-Jae;Min Dae-Gi
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 2006.05a
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    • pp.1079-1084
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    • 2006
  • Since the focus of QFD is placed on the early stage of product development, the uncertainty in the input information of QFD is inevitable. If the uncertainty is neglected, the QFD analysis results can be misleading. This paper proposes an extended version of the QFD methodology, called Robust QFD, which is capable of considering the uncertainty of the input information and the resulting variability of the output. The proposed framework aims to model, analyze, and dampen the effects of the uncertainty and variability in a systematic manner. The proposed framework is demonstrated through a case study on the ADSL-based high-speed internet service.

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Estimation of Probability Distribution of Fatigue Lives in Crank Throw Forged Steel (크랭크스로 단조강의 피로수명의 확률분포 추정)

  • Kim, Seon-Jin;Ahn, Seok-Hwan
    • Journal of Power System Engineering
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    • v.20 no.3
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    • pp.29-35
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    • 2016
  • Because of the severe service environment of the large marine vessel, the fatigue strength and its evaluation play an important role in design and maintenance of marine crankshaft. The aim of this work is to investigate the probability distribution of fatigue lives in crank throw forged steel and to develop the methodology for estimation of the probabilistic design fatigue strength. Detailed studies were performed on the constant amplitude axial loading fatigue test. The experiments were controlled by stress ratio of -1 and 15Hz frequency for each stress level. The considerable variability of fatigue life was observed in each stress level under rigidly controlled constant fatigue testing conditions. The fatigue life of crank throw forged steel was well followed the log-normal and Weibull distribution. In addition, it can be used for the estimation of probabilistic design fatigue strength by using the proposed methodology.

Reflectance Measurements of Soil Variability

  • Sudduth, K.A.;Hong, S.Y.;Hummel, J.W.;Kitchen, N.R.
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.1194-1196
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    • 2003
  • Variations in soil physical and chemical properties can affect agricultural productivity and the environmental implications of crop production. These variations are present and may be important at regional, field, and sub-field (precision agriculture) scales. Because traditional measurements are time-consuming and expensive, reflectance-based estimates of soil properties such as texture, organic matter content, water content, and nutrient status are attractive. Soil properties have been related to reflectance measured with laboratory, in-field, airborne, and satellite sensors. Both multispectral and hyperspectral instruments have been used, with both natural and artificial illumination. Varying levels of accuracy have been obtained, with the best results (r > 0.95) using hyperspectral reflectance data to estimate soil organic matter and water content.

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Many-objective joint optimization for dependency-aware task offloading and service caching in mobile edge computing

  • Xiangyu Shi;Zhixia Zhang;Zhihua Cui;Xingjuan Cai
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.18 no.5
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    • pp.1238-1259
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    • 2024
  • Previous studies on joint optimization of computation offloading and service caching policies in Mobile Edge Computing (MEC) have often neglected the impact of dependency-aware subtasks, edge server resource constraints, and multiple users on policy formulation. To remedy this deficiency, this paper proposes a many-objective joint optimization dependency-aware task offloading and service caching model (MaJDTOSC). MaJDTOSC considers the impact of dependencies between subtasks on the joint optimization problem of task offloading and service caching in multi-user, resource-constrained MEC scenarios, and takes the task completion time, energy consumption, subtask hit rate, load variability, and storage resource utilization as optimization objectives. Meanwhile, in order to better solve MaJDTOSC, a many-objective evolutionary algorithm TSMSNSGAIII based on a three-stage mating selection strategy is proposed. Simulation results show that TSMSNSGAIII exhibits an excellent and stable performance in solving MaJDTOSC with different number of users setting and can converge faster. Therefore, it is believed that TSMSNSGAIII can provide appropriate sub-task offloading and service caching strategies in multi-user and resource-constrained MEC scenarios, which can greatly improve the system offloading efficiency and enhance the user experience.

A Study on the Application of Measures of Travel Time Variability by Analysis of Travel Time Distribution According to Weather Factor (기상요인에 따른 통행시간 분포 분석을 통한 통행시간 변동성 지표의 적정성 연구)

  • Kim, Jun-Won;Kim, Young-Chan
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.14 no.6
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    • pp.1-13
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    • 2015
  • Travellers consider extra travel time to be arriving their destination because of uncertainty of travel. So it is important to make predictable highway by providing information of travel time variability to traveller so as to enhance level of service at highway. In order to make predictable highway, it is necessary to develope measures of travel time variability that travellers can easily understand. Recently advanced country including the United States, travel time variability index are actively studied. In earlier study, 95percentile of travel time is considered to be most important calculation index of travel time variability. In this study, is has focused on the propriety analysis of 95percentile of travel time in domestic transportation environment. Result of analysis, All of measures(80percentile of travel time, 90percentile of travel time, 95percentile of travel time) show the tendency to increase when case of weather factor occur compare to normal condition under LOS A~D. Especially 95percentile of travel time increased sensitively.