• 제목/요약/키워드: Variability Dependency

검색결과 27건 처리시간 0.026초

가변성 결정기반 BPM 생성을 위한 가변성 의존관계 분석 (Variability Dependency Analysis for Generating Business Process Models based on Variability Decisions)

  • 문미경
    • 정보처리학회논문지D
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    • 제16D권5호
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    • pp.791-800
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    • 2009
  • 최근 서비스 지향 아키텍처 (Service Oriented Architecture SOA) 기반의 애플리케이션 개발에 맞게 비즈니스 프로세스의 유연성을 확보하고 재사용을 증진시키기 위하여 비즈니스 프로세스 패밀리 모델 (Business Process Family Model: BPFM)이 제시되었다. BPFM은 소프트웨어 프로덕트 라인 방법의 가변성 분석 기법을 사용하여 비즈니스 프로세스 군 (family)에서 나타날 수 있는 가변성을 분석하여 이를 명시적으로 표현하고 있는 모델이다. BPFM으로부터 여러 개의 비즈니스 프로세스 모델 (Business Process Model: BPM)을 개발하기 위해서는 가변성 결정 및 가지치기(Decision and Pruning) 과정을 거쳐야 한다. 이 때 가변성 사이에는 서로 협력적 또는 배타적인 관계를 가질 수 있고 이는 가변성 결정과 가지치기에 영향을 미치게 되는데, 현재 제시된 BPFM에는 이러한 바인딩 정보에 대해서 고려하지 않고 있다. 본 논문에서는 비즈니스 프로세스 군에서 식별될 수 있는 가변성들 사이의 의존관계 유형을 분석하고 이러한 가변성 정보를 독립된 의존관계 분석모델로 표현하는 방법을 제시한다. 또한 추출된 모델을 기반으로 하나의 가변성 결정으로부터 영향을 받는 다른 가변성들을 추적하여 선결정 처리 할 수 있는 방법을 제공한다. 본 방법을 이용함으로써 가변성 결정회수를 줄일 수 있고, 또한 잘못된 가변성 결정으로 인한 BPM의 기능 불일치를 해소할 수 있음을 사례연구를 통해 보인다.

심박변이도의 운동부하 의존성 (Work Load Dependency of Heart Rate Variability (HRV))

  • 권정훈;김철승;엄광문
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2006년도 춘계학술대회 논문집
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    • pp.641-642
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    • 2006
  • The purpose of this work is to investigate the effect of work load on heart rate variability (HRV) which is widely used marker of the autonomic nervous system activity. Average heart rate, rating of perceived exertion, and the power spectrum of heart rate variability were investigated in seven healthy males during exercise at various work loads. The subjects were divided into two groups according to the average heart rate during exercise, group 1 with lower heart rate and group 2 with higher heart rate. HF component showed decrease followed by increase with workload. Accordingly, the LF/HF ratio showed increase followed by decrease with workload. The peak in LF/HF ratio of group 1 was at the lower workload than that of group 2.

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깊이 방향의 변화가 있는 해저 퇴적물에서 반사 특성 (Wave Reflection from Porous Ocean Sediment With Depth Dependent Properties)

  • 이근화;성우제
    • The Journal of the Acoustical Society of Korea
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    • 제25권1E호
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    • pp.1-7
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    • 2006
  • This study examines the reflection characteristic of a thin transition layer of the ocean bottom showing variability with respect to depth. In order to model the surficial sediment simply, we reduce the Biot model to the depth dependent wave equation for the pseudo fluid using the fluid approximation (weak frame approximation). From the reduced equation, the difference between the inherent frequency dependency of the reflection and the frequency dependency resulting from a thin transition layer is investigated. Using Tang's depth porosity profile model of the surficial sediment [D. Tang et al., IEEE J. Oceanic Eng., vol.27(3), 546-560(2002)], we numerically simulated the reflection loss and investigated the contribution from both frequency dependencies. In addition, the effects of different sediment type and varying depth structure of the sediment are discussed.

Median polish 기법을 이용한 한국 논의 공간변이 분석 (Analysis of Spatial Variability in a Korean Paddy Field Using Median Polish Detrending)

  • 정선옥;정인규;성제훈
    • Journal of Biosystems Engineering
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    • 제33권5호
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    • pp.362-369
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    • 2008
  • There is developing interest in precision agriculture in Korea, despite the fact that typical Korean fields are less than 1 ha in size. Describing within-field variability in typical Korean production settings is a fundamental first step toward determining the size of management zones and the inter-relationships between limiting factors, for establishment of site-specific management strategies. Measurements of rice (Oriza Sativa L) yield, chlorophyll content, and soil properties were obtained in a small (100-m by 30-m) Korean rice paddy field. Yield data were manually collected on 10-m by 5-m grids (180 samples with 3 samples in each of 60 grid cells) and chlorophyll content was measured using a Minolta SPAD 502 in 2-m by 2-m grids. Soil samples were collected at 275 points to compare results from sampling at different scales. Ten soil properties important for rice production in Korea were determined through laboratory analyses. Variogram analysis and point kriging with and without median polishing were conducted to determine the variability of the measured parameters. Influence of variogram model selection and other parameters on the interpretation of the data was investigated. For many of the data, maximum values were greater than double the minimum values, indicating considerable spatial variability in the small paddy field, and large-scale spatial trends were present. When variograms were fit to the original data, the limits of spatial dependency for rice yield and SP AD reading were 11.5 m and 6.5 m, respectively, and after detrending the limits were reduced to 7.4 m and 3.9 m. The range of spatial dependency for soil properties was variable, with several having ranges as short as 2 m and others having ranges greater than 30 m. Kriged maps of the variables clearly showed the presence of both large-scale (trend) variability and small-scale variability in this small field where it would be reasonable to expect uniformity. These findings indicate the potential for applying the principles and technology of precision agriculture for Korean paddy fields. Additional research is needed to confirm the results with data from other fields and crops.d similar tendency with the result for the frequency less than 20 Hz, but the width of change was reduced highly.

피에조콘을 이용한 선행압밀하중 결정 신경망 모델의 초기 연결강도 의존성 개선 (Improvement of Initial Weight Dependency of the Neural Network Model for Determination of Preconsolidation Pressure from Piezocone Test Result)

  • 박솔지;주노아;박현일;김영상
    • 한국지반공학회:학술대회논문집
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    • 한국지반공학회 2009년도 춘계 학술발표회
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    • pp.456-463
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    • 2009
  • The preconsolidation pressure has been commonly determined by oedometer test. However, it can also be determined by in-situ test, such as piezocone test with theoretical and(or) empirical correlations. Recently, Neural Network(NN) theory was applied and some models were proposed to estimate the preconsolidation pressure or OCR. However, since the optimization process of synaptic weights of NN model is dependent on the initial synaptic weights, NN models which are trained with different initial weights can't avoid the variability on prediction result for new database even though they have same structure and use same transfer function. In this study, Committee Neural Network(CNN) model is proposed to improve the initial weight dependency of multi-layered neural network model on the prediction of preconsolidation pressure of soft clay from piezocone test result. It was found that even though the NN model has the optimized structure for given training data set, it still has the initial weight dependency, while the proposed CNN model can improve the initial weight dependency of the NN model and provide a consistent and precise inference result than existing NN models.

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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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    • 제18권5호
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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.

Statistical Study and Prediction of Variability of Erythemal Ultraviolet Irradiance Solar Values in Valencia, Spain

  • Gurrea, Gonzalo;Blanca-Gimenez, Vicente;Perez, Vicente;Serrano, Maria-Antonia;Moreno, Juan-Carlos
    • Asia-Pacific Journal of Atmospheric Sciences
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    • 제54권4호
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    • pp.599-610
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    • 2018
  • The goal of this study was to statistically analyse the variability of global irradiance and ultraviolet erythemal (UVER) irradiance and their interrelationships with global and UVER irradiance, global clearness indices and ozone. A prediction of short-term UVER solar irradiance values was also obtained. Extreme values of UVER irradiance were included in the data set, as well as a time series of ultraviolet irradiance variability (UIV). The study period was from 2005 to 2014 and approximately 250,000 readings were taken at 5-min intervals. The effect of the clearness indices on global irradiance variability (GIV) and UIV was also recorded and bi-dimensional distributions were used to gather information on the two measured variables. With regard to daily GIV and UIV, it is also shown that for global clearness index ($k_t$) values lower than 0.6 both global and UVER irradiance had greater variability and that UIVon cloud-free days ($k_t$ higher than 0.65) exceeds GIV. To study the dependence between UIVand GIV the ${\chi}^2$ statistical method was used. It can be concluded that there is a 95% probability of a clear dependency between the variabilities. A connection between high $k_t$ (corresponding to cloudless days) and low variabilities was found in the analysis of bidimensional distributions. Extreme values of UVER irradiance were also analyzed and it was possible to calculate the probable future values of UVER irradiance by extrapolating the values of the adjustment curve obtained from the Gumbel distribution.

Probabilistic study of the influence of ground motion variables on response spectra

  • Yazdani, Azad;Takada, Tsuyoshi
    • Structural Engineering and Mechanics
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    • 제39권6호
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    • pp.877-893
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    • 2011
  • Response spectra of earthquake ground motions are important in the earthquake-resistant design and reliability analysis of structures. The formulation of the response spectrum in the frequency domain efficiently computes and evaluates the stochastic response spectrum. The frequency information of the excitation can be described using different functional forms. The shapes of the calculated response spectra of the excitation show strong magnitude and site dependency, but weak distance dependency. In this paper, to compare the effect of the earthquake ground motion variables, the contribution of these sources of variability to the response spectrum's uncertainty is calculated by using a stochastic analysis. The analytical results show that earthquake source factors and soil condition variables are the main sources of uncertainty in the response spectra, while path variables, such as distance, anelastic attenuation and upper crust attenuation, have relatively little effect. The presented formulation of dynamic structural response in frequency domain based only on the frequency information of the excitation can provide an important basis for the structural analysis in some location that lacks strong motion records.

DSM을 이용한 건설사업 공정관리에 관한 연구 (A Study on Schedule Management in Construction Project Using the Dependency Structure Matrix(DSM))

  • 장세훈;박문서;이현수
    • 한국건설관리학회:학술대회논문집
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    • 한국건설관리학회 2007년도 정기학술발표대회 논문집
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    • pp.682-686
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    • 2007
  • 건설사업은 다양한 시대적 요구를 충족시키기 위해 매우 다변화되었고, 그에 따라 참여주체들이 많아지고 복잡성이 증가하게 되었으며, 사업의 규모 측면에 있어서도 날로 대형화되어 가고 있는 실정이다. 하지만 현재의 건설 프로젝트 공정관리 수준은 1950년대에 만들어진 PERT나 CPM을 반세기가 지난 지금까지 그대로 사용하고 있을 정도로 후진성을 면치 못하고 있다. 또한 현재의 공정관리는 결과위주의 방식으로 건설사업 과정에서 나타나는 작업 간의 정보의 흐름과 변이요소의 발생을 충분히 고려하지 못하고 있다. 따라서 본 연구에서는 기존의 공정관리도구들의 단점을 개선하고 공정관리기술의 한계를 극복하기 위하여, 국내에는 잘 알려지지 않은 설계관리기법인 DSM(Dependency Structure Matrix)를 도입하여 건설사업 공정관리에 대한 적용성을 고찰해보고자 한다.

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종속적 문헌 추정치를 이용한 모집단 변이 분포의 추정 (Estimating the Population Variability Distribution Using Dependent Estimates From Generic Sources)

  • 임태진
    • 한국경영과학회지
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    • 제20권3호
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    • pp.43-59
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    • 1995
  • This paper presents a method for estimating the population variability distribution of the failure parameter (failure rate or failure probability) for each failure mode considered in PSA (Probabilistic Safety Assessment). We focus on the utilization of generic estimates from various industry compendia for the estimation. The estimates are complicated statistics of failure data from plants. When the failure data referred in two or more sources are overlapped, dependency occurs among the estimates provided by the sources. This type of problem is first addressed in this paper. We propose methods based on ML-II estimation in Bayesian framework and discuss the characteristics of the proposed estimators. The proposed methods are easy to apply in real field. Numerical examples are also provided.

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