Roof model recommendation for complex buildings based on combination rules and symmetry features in footprints

Currently,very few roof shape information for complex buildings is available on OSM.Moreover,additional data requirements(e.g.3D point clouds)limit the applicability of many roof reconstruction approaches.To mitigate this issue,we propose an approach to roof shape recommendations for complex buildings by exploring the inherited characteristics of building footprints:the disclosure of rectangles combinations in a partition of footprints and the symmetrical features of footprints.First,it decomposes a complex footprint into rectangles by using an advanced minimal non-overlapping cover algorithm.Second,a graph-based symmetry detection algorithm is proposed to identify all the symmetrical sub-clusters in partitions.Then,a set of selection rules are defined to rank partitions,and the best ones are chosen for roof shape recommendation.Finally,a set of combination rules and a symmetry rule are defined.It enables to evaluate the probability of a footprint being a certain combination of roof shapes.Experimental results show the growth of the probability of correctly recommending roof shapes for single rectangles and buildings from a prior probability of 17–45%and from a prior probability of 0.29–14.3%,removing 60%and 93%of the incorrect roof shape options,respectively.

An Evidence Combination Method based on DBSCAN Clustering

Dempster-Shafer(D-S)evidence theory is a key technology for integrating uncertain information from multiple sources.However,the combination rules can be paradoxical when the evidence seriously conflict with each other.In the paper,we propose a novel combination algorithm based on unsupervised Density-Based Spatial Clustering of Applications with Noise(DBSCAN)density clustering.In the proposed mechanism,firstly,the original evidence sets are preprocessed by DBSCAN density clustering,and a successfully focal element similarity criteria is used to mine the potential information between the evidence,and make a correct measure of the conflict evidence.Then,two different discount factors are adopted to revise the original evidence sets,based on the result of DBSCAN density clustering.Finally,we conduct the information fusion for the revised evidence sets by D-S combination rules.Simulation results show that the proposed method can effectively solve the synthesis problem of high-conflict evidence,with better accuracy,stability and convergence speed.

A study of acupoint selection rules of moxibustion and auricular point therapy in the treatment of urinary retention after anorectal surgery based on data mining

Based on the Traditional Chinese Medicine Inheritance Support System(V2.5),we explored the compatibility rules of moxibustion and auricular point prescriptions in the treatment of urinary retention after anorectal surgery,and further to obtain new prescriptions.Methods:We searched CNKI,Wanfang,VIP and CBM databases for the literature of moxibustion and auricular point therapy for urinary retention after anorectal surgery,collecting complete prescriptions and entering them into the Traditional Chinese Medicine Inheritance Support System(V2.5).The acupoint frequency,association rules,and combination rules were analyzed by data mining method of software integration.Results:126 moxibustion prescriptions were selected,and the acupoints for urinary retention after anorectal surgery in the literature were analyzed,including 10 acupoints with frequency≥6,9 acupoint combinations with frequency≥26,5 acupoints with association rules,6 core acupoint combinations and 3 new prescription.124 auricular point prescriptions were selected,and the relevant acupoints in the literature were analyzed,including 10 acupoints with frequency of use≥18,15 acupoint combinations with frequency≥40,12 acupoint combinations with association rules,6 core acupoint combinations,and 3 new prescriptions.The core points include Qihai(RN6),Sanyinjiao(SP6),Zhongji(RN3),Guanyuan(RN4).The auricular point therapy is more to select the tenderness points and acupoints that have an impact on the urinary system,mainly including“Pangguang”(CO9),“Shenmen”(TF4),“Shen”(CO10),“Sanjiao”(CO17),“Pizhixia”(AT4),“Niaodao”(HX3),“Fei”(CO14),“Jiaogan”(AH6a).Conclusion:Moxibustion for the treatment of urinary retention is mainly based on invigorating“Primordial Qi”and regulating the functions of“Middle Jiao”(refers to the area of the body just below the diaphragm and above the navel that helps produce delicate nutrients).The entropic clustering of complex systems excavated new prescriptions for the treatment of urinary retention after anorectal surgery,providing new ideas for future research and treatment.

交互自适应组合规则(英文)

Aiming at the invalidation of DS theory dealing with the evidence in a high conflict and reducing confidence level of DSm theory processing a low conflict,this paper proposes an interactive-adaptive combination rule. Adopting the angle similarity based on hyper-power set as the weight of generalized Dempster rule and PCR rule,the new rule adaptively processes various evidence combination issues. In this way,the rule can obtain not only the better fusion of decision making effect in a low conflict,but also the solution to the synthesis in a high conflict. Simulation analysis demonstrates the validity and applicability from this rule of combination.

Combining the Rule of Law with the Rule of Morality——General Secretary Xi Jinping's Important Discourse on the Relationship Between the Rule of Law and Rule by Virtue

Key points:Throughout the ages,rule of law has been an indispensable means of governing a state.However,as General Secretary Xi Jinping has pointed out,it is not enough to govern a state by the rule of