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Unbiased Estimation Formula of Unit Weight Standard Deviation in Regularization Solution 被引量:1
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作者 SHENYunzhong LIUDajie 《Geo-Spatial Information Science》 2004年第3期210-213,共4页
Regularization method is an effective method for solving ill\|posed equation. In this paper the unbiased estimation formula of unit weight standard deviation in the regularization solution is derived and the formula i... Regularization method is an effective method for solving ill\|posed equation. In this paper the unbiased estimation formula of unit weight standard deviation in the regularization solution is derived and the formula is verified with numerical case of 1 000 sample data by use of the typical ill\|posed equation, i.e. the Fredholm integration equation of the first kind. 展开更多
关键词 regularization solution unit weight standard deviation unbiased estimation
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GIS Analysis of Spatial Distribution of Crop Incidence 被引量:2
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作者 马永 周春平 李小娟 《Plant Diseases and Pests》 CAS 2011年第3期14-16,共3页
Using GIS spatial statistical analysis method, with ArcGIS software as an analysis tool, taking the diseased maize in Hedong District of Linyi City as the study object, the distribution characteristic of the diseased ... Using GIS spatial statistical analysis method, with ArcGIS software as an analysis tool, taking the diseased maize in Hedong District of Linyi City as the study object, the distribution characteristic of the diseased crops this time in spatial location was analyzed. The results showed that the diseased crops mainly dis- tributed along with river tributaries and downstream of main rivers. The correlation between adjacent diseased plots was little, so the infection of pests and diseases were excluded, and the major reason of incidence might be river pollution. 展开更多
关键词 Crop incidence Spatial statistical analysis method GIS Weighted standard deviation ellipse China
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Predictive-reactive Strategy for Flowshop Rescheduling Problem:Minimizing the Total Weighted Waiting Times and Instability 被引量:1
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作者 Ayoub Tighazoui Christophe Sauvey Nathalie Sauer 《Journal of Systems Science and Systems Engineering》 SCIE EI CSCD 2021年第3期253-275,共23页
Due to the fourth revolution experiencing,referred to as Industry 4.0,many production firms are devoted to integrating new technological tools to their manufacturing process.One of them,is rescheduling the tasks on th... Due to the fourth revolution experiencing,referred to as Industry 4.0,many production firms are devoted to integrating new technological tools to their manufacturing process.One of them,is rescheduling the tasks on the machines responding to disruptions.While,for static scheduling,the efficiency criteria measure the performance of scheduling systems,in dynamic environments,the stability criteria are also used to assess the impact of jobs deviation.In this paper,a new performance measure is investigated for a flowshop rescheduling problem.This one considers simultaneously the total weighted waiting time as the efficiency criterion,and the total weighted completion time deviation as the stability criterion.This fusion could be a very helpful and significant measure for real life industrial systems.Two disruption types are considered:jobs arrival and jobs cancellation.Thus,a Mixed Integer Linear Programming(MILP)model is developed,as well as an iterative predictive-reactive strategy for dealing with the online part.At last,two heuristic methods are proposed and discussed,in terms of solution quality and computing time. 展开更多
关键词 RESCHEDULING FLOWSHOP predictive-reactive strategy weighted waiting time stability weighted completion time deviation
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