A new diagnosis method, called Double-Syndrome diagnostic, is proposed, which can identify faulty nodes by comparing 2 different syndromes. For the same system, the average number of faulty nodes identified correctly ...A new diagnosis method, called Double-Syndrome diagnostic, is proposed, which can identify faulty nodes by comparing 2 different syndromes. For the same system, the average number of faulty nodes identified correctly by the Double-Syndrome diagnostic is much greater than the t-diagnosability and the(t_1/t_1)-diagnosability of the system. Furthermore, in order to identify the remaining faulty nodes in the system, two strategies of fault diagnostic are proposed, one is called(k, t)-fault diagnosable strategy, another is called(k, t/t)-fault diagnosable strategy. Besides, the conditional(k, t)-diagnosable((k, t/t)-diagnosable) system is introduced. Furthermore, the conditional diagnosabilities are proved for some regular(k, t)-diagnosable and(k, t/t)-diagnosable networks such as n-dimensional hypercube network and n-dimensional star network. And then, for a system, its(k,t)-conditional diagnosability and its(k, t/t)-conditional diagnosability are identical, and in the worst case, they are equal to their traditional conditional diagnosability.展开更多
依据人类AD(Alzheimer's Disease)相关蛋白质相互作用网络图,利用基于算术平均最小值——AAMV(Arithmetic Average Minimum Value)的K-means聚类方法对蛋白质进行聚类并预测4个孤立蛋白质的功能。分析结果表明:所得结果与用Maryland...依据人类AD(Alzheimer's Disease)相关蛋白质相互作用网络图,利用基于算术平均最小值——AAMV(Arithmetic Average Minimum Value)的K-means聚类方法对蛋白质进行聚类并预测4个孤立蛋白质的功能。分析结果表明:所得结果与用Maryland Bridge法及Korbel法所得结果非常相似。展开更多
基金supported by Funding Project for Academic Human Resources Development in Institutionsof Higher Learning Under the Jurisdiction of Beijing Municipality(PHR(IHLB))National NaturalScience Fbundation of China under Grant No.10631070,No.60873205+2 种基金Beijing Natural Science Foundationunder Grant No.1092011Foundation of Beijing Education Commission under Grant No.SM200910037005Scientific Research Base foundation of Beijing Wuzi University.
基金Supported by the National Natural Science Foundation of China(No.61862003,61761006)the Natural Science Foundation of Guangxi of China(No.2018GXNSFDA281052,2017GXNSFAA198263)。
文摘A new diagnosis method, called Double-Syndrome diagnostic, is proposed, which can identify faulty nodes by comparing 2 different syndromes. For the same system, the average number of faulty nodes identified correctly by the Double-Syndrome diagnostic is much greater than the t-diagnosability and the(t_1/t_1)-diagnosability of the system. Furthermore, in order to identify the remaining faulty nodes in the system, two strategies of fault diagnostic are proposed, one is called(k, t)-fault diagnosable strategy, another is called(k, t/t)-fault diagnosable strategy. Besides, the conditional(k, t)-diagnosable((k, t/t)-diagnosable) system is introduced. Furthermore, the conditional diagnosabilities are proved for some regular(k, t)-diagnosable and(k, t/t)-diagnosable networks such as n-dimensional hypercube network and n-dimensional star network. And then, for a system, its(k,t)-conditional diagnosability and its(k, t/t)-conditional diagnosability are identical, and in the worst case, they are equal to their traditional conditional diagnosability.
