Sports Emergency Management Based on GM(1,1) and Gray Correlation Degree

2020 ◽  
Vol 29 (5) ◽  
Author(s):  
Liu Shiduo
Keyword(s):  
Emergency Management ◽  
Gray Correlation Degree ◽  
Correlation Degree ◽  
Gray Correlation

Spatial Load Forecasting Based on Load Forecasting Reliability

2014 ◽  
Vol 672-674 ◽  
pp. 1075-1080 ◽  
Author(s):  
Bai Xiao ◽  
Hao Wang ◽  
Gang Mu
Keyword(s):  
Power Supply ◽  
Load Forecasting ◽  
Forecasting Error ◽  
Comprehensive Index ◽  
Gray Correlation Degree ◽  
Analysis Theory ◽  
Correlation Degree ◽  
Forecasting Method ◽  
Gray Correlation

A spatial load forecasting method based on reliability of load forecasting is proposed. It calculates the correlation of wave comprehensive index, variance, maximum predictable ability of each power supply small area’s historical load data by using the analysis theory of grey degree based on the analysis of load forecasting error last target year. The weight of each factor effected on prediction outcomes according to the gray correlation degree is determined, then the load forecasting reliability model of each power supply area is constructed. Finally, by using the adjustment role of load forecasting reliability, the load of target year is forecasted. Actual example shows that the spatial load forecasting method based on reliability of load forecasting is correct and effective.

Damage and Springback Analysis of Two Typical Dented Pipelines With Different Parameters

2019 ◽  
Vol 141 (4) ◽  
Author(s):  
Ying Wu ◽  
Jiacheng Li ◽  
Linya Li
Keyword(s):  
Internal Pressure ◽  
Influence Factors ◽  
Influential Factors ◽  
Orthogonal Experimental Design ◽  
Damage Degree ◽  
Gray Correlation Degree ◽  
Correlation Degree ◽  
Gray Correlation ◽  
Nonlinear Regression Method ◽  
Dent Depth

During pipeline construction, the pipeline may be impacted by sharp rocks or excavators. To study the failure mechanism of the pipeline, the damage degree and springback rate of the pipelines with two typical dents (transverse and longitudinal) were analyzed in terms of various factors (indenter size, pipeline size and internal pressure, and dent depth). The results reveal the following: (1) when pipeline size and internal pressure are unchanged and indenter size is changed, the integral value I used to measure the damage degree of the dented pipeline increases with increasing dent depth. When the dent depth reaches a certain value, at the same dent depth, the smaller the indenter size, the larger the damage integral value; (2) when other parameters remain unchanged, the larger the pipeline size is, the larger is the damage integral value, and the larger the internal pressure is, the smaller is the damage integral value. (3) The curves for damage and springback for the two kinds of dents are basically similar. Generally, the maximum damage of the longitudinal dent is larger than that of the transverse dent. (4) By a combination of an orthogonal experimental design and a gray correlation degree calculation, for the damage integral value of the two typical dented pipelines, the order of importance of the influential factors was obtained. (5) Formulas for the damage integral value and influence factors were fit using a nonlinear regression method, which provides a reference for calculation of pipeline damage.

Research the Measurement Method of Software Aging in Cloud

2013 ◽  
Vol 392 ◽  
pp. 779-782 ◽  
Author(s):  
Fang Liu ◽  
Jing Cao ◽  
Jun Guo ◽  
Bin Zhang
Keyword(s):  
Measurement Method ◽  
Performance Metrics ◽  
Service Failure ◽  
Fuzzy Evaluation ◽  
Software Aging ◽  
Gray Correlation Degree ◽  
Correlation Degree ◽  
Gray Correlation ◽  
Performance Decline ◽  
Resource Allocation Strategy

Although SaaS is a new application model, the phenomenon of software aging still exists, which will cause service performance decline ceaselessly, even worse, service failure. In order to ensure SaaS performance, we need to estimate the degree of software aging accurately, so as to provide a basis to the resource allocation strategy. In this paper we describe the process of calculating software aging degree, and build a performance metrics system according to gray correlation degree analysis, then calculate SaaS software aging degree based on fuzzy evaluation. Finally, we verify the effectiveness of our measurement method of software aging in cloud by experiments.

A Trust-Based Method in Construction Industry

2014 ◽  
Vol 539 ◽  
pp. 762-768
Author(s):  
Jing Xu ◽  
Yan Xin Liu ◽  
Lan Fang Luo
Keyword(s):  
Correlation Analysis ◽  
Construction Industry ◽  
Trust Building ◽  
Contractor Selection ◽  
Gray Correlation Degree ◽  
Correlation Degree ◽  
Gray Correlation ◽  
Construction Contractor ◽  
Gray Correlation Analysis ◽  
Criteria For Evaluation

This paper presents a method for construction contractor selection based on trust building. By classifying criteria into three types of trust and applying gray correlation analysis, the presented method concerns multi-criteria for evaluation other than price, selects trust-and selection-related criteria, provides approaches for indicator quantification and determines the contractor on the basis of gray correlation degree.

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