Implementing machine learning algorithms in the non-conducive environment of the vehicular network requires some adaptations due to the high computational complexity of these algorithms.K-clustering algorithms are sim...Implementing machine learning algorithms in the non-conducive environment of the vehicular network requires some adaptations due to the high computational complexity of these algorithms.K-clustering algorithms are simplistic,with fast performance and relative accuracy.However,their implementation depends on the initial selection of clusters number(K),the initial clusters’centers,and the clustering metric.This paper investigated using Scott’s histogram formula to estimate the K number and the Link Expiration Time(LET)as a clustering metric.Realistic traffic flows were considered for three maps,namely Highway,Traffic Light junction,and Roundabout junction,to study the effect of road layout on estimating the K number.A fast version of the PAM algorithm was used for clustering with a modification to reduce time complexity.The Affinity propagation algorithm sets the baseline for the estimated K number,and the Medoid Silhouette method is used to quantify the clustering.OMNET++,Veins,and SUMO were used to simulate the traffic,while the related algorithms were implemented in Python.The Scott’s formula estimation of the K number only matched the baseline when the road layout was simple.Moreover,the clustering algorithm required one iteration on average to converge when used with LET.展开更多
本体感觉神经肌肉促进技术（proprioceptive neuromuscular facilitation，PNF），是利用牵张、牵引、关节挤压和施加阻力等本体刺激，应用螺旋对角运动模式来促进运动功能康复的治疗方法。早存1900，英国神经生理学家Charles Scott She...本体感觉神经肌肉促进技术（proprioceptive neuromuscular facilitation，PNF），是利用牵张、牵引、关节挤压和施加阻力等本体刺激，应用螺旋对角运动模式来促进运动功能康复的治疗方法。早存1900，英国神经生理学家Charles Scott Sherrington就对神经肌肉促进和抑制做了定义，之后Kabat等人发展并在临床上应用了PNF技术。展开更多
In this paper, the agreement of Isbell and Scott topologies on the Domain function spaces is discussed. In terms of Domain function spaces, a non-continuous DCPO with Scott open filters as a subbase of Scott topology ...In this paper, the agreement of Isbell and Scott topologies on the Domain function spaces is discussed. In terms of Domain function spaces, a non-continuous DCPO with Scott open filters as a subbase of Scott topology is given.展开更多
文摘Implementing machine learning algorithms in the non-conducive environment of the vehicular network requires some adaptations due to the high computational complexity of these algorithms.K-clustering algorithms are simplistic,with fast performance and relative accuracy.However,their implementation depends on the initial selection of clusters number(K),the initial clusters’centers,and the clustering metric.This paper investigated using Scott’s histogram formula to estimate the K number and the Link Expiration Time(LET)as a clustering metric.Realistic traffic flows were considered for three maps,namely Highway,Traffic Light junction,and Roundabout junction,to study the effect of road layout on estimating the K number.A fast version of the PAM algorithm was used for clustering with a modification to reduce time complexity.The Affinity propagation algorithm sets the baseline for the estimated K number,and the Medoid Silhouette method is used to quantify the clustering.OMNET++,Veins,and SUMO were used to simulate the traffic,while the related algorithms were implemented in Python.The Scott’s formula estimation of the K number only matched the baseline when the road layout was simple.Moreover,the clustering algorithm required one iteration on average to converge when used with LET.
文摘本体感觉神经肌肉促进技术（proprioceptive neuromuscular facilitation，PNF），是利用牵张、牵引、关节挤压和施加阻力等本体刺激，应用螺旋对角运动模式来促进运动功能康复的治疗方法。早存1900，英国神经生理学家Charles Scott Sherrington就对神经肌肉促进和抑制做了定义，之后Kabat等人发展并在临床上应用了PNF技术。
基金the National Natural Science Foundation of China (No.10571112)the National Key Project of Fundamental Research (No.2002CB312200)
文摘In this paper, the agreement of Isbell and Scott topologies on the Domain function spaces is discussed. In terms of Domain function spaces, a non-continuous DCPO with Scott open filters as a subbase of Scott topology is given.
