肌阵挛-失张力癫癎（epilepsy with myoclonic-atonic seizures，EMAs），又称Doose综合征。Doose等1970年首次描述了EMAS的临床特征，1989年国际抗癫癎联盟（ILAE）将其归类为“隐源性和（或）症状性全面性癫癎”，2010年ILAE在关于癫...肌阵挛-失张力癫癎（epilepsy with myoclonic-atonic seizures，EMAs），又称Doose综合征。Doose等1970年首次描述了EMAS的临床特征，1989年国际抗癫癎联盟（ILAE）将其归类为“隐源性和（或）症状性全面性癫癎”，2010年ILAE在关于癫癎发作、综合征分类及术语报告中将EMAS列为按年龄分类的电临床综合征中儿童期的一种。展开更多
One algorithm and one method for PNNI(Private Network to Network Interface) routing were presented. The algorithm is OIL (Older Is Leader) algorithms for Peer Group selection, and the method is the DOO (Distributed ob...One algorithm and one method for PNNI(Private Network to Network Interface) routing were presented. The algorithm is OIL (Older Is Leader) algorithms for Peer Group selection, and the method is the DOO (Distributed object-oriented) method for HDOS (Hierarchy Distributed-Object System), PNNI systems and IP(Internet Protocol) networks. Based on the specifications from ATM forum, and the creative ideas from Distributed System realization, this paper studies and analyzes the private ATM network environment. The OIL algorithm and the DOO method are both for PNNI routing protocol. Through the PNNI simulation, the availability and robustness are proved for the above two improvements.展开更多
A fuzzy requirement based strategy for QoS service in broadband networks was presented. With the analysis of QoS service in ATM networks and broadband IP networks, it gave a requirement based strategy for QoS service...A fuzzy requirement based strategy for QoS service in broadband networks was presented. With the analysis of QoS service in ATM networks and broadband IP networks, it gave a requirement based strategy for QoS service application with Fuzzy language evaluation principles. The requirement parameters are chosen according to the WANT/COST rule, and a fuzzy set is constructed to realize the fuzzy determinant. The simulation results show that it is useful to evaluate the QoS service in broadband networks, and to effectively simplify the access protocols and solve the billing issues in broadband networks.展开更多
This paper considers the distributed online optimization(DOO) problem over time-varying unbalanced networks, where gradient information is explicitly unknown. To address this issue, a privacy-preserving distributed on...This paper considers the distributed online optimization(DOO) problem over time-varying unbalanced networks, where gradient information is explicitly unknown. To address this issue, a privacy-preserving distributed online one-point residual feedback(OPRF) optimization algorithm is proposed. This algorithm updates decision variables by leveraging one-point residual feedback to estimate the true gradient information. It can achieve the same performance as the two-point feedback scheme while only requiring a single function value query per iteration. Additionally, it effectively eliminates the effect of time-varying unbalanced graphs by dynamically constructing row stochastic matrices. Furthermore, compared to other distributed optimization algorithms that only consider explicitly unknown cost functions, this paper also addresses the issue of privacy information leakage of nodes. Theoretical analysis demonstrate that the method attains sublinear regret while protecting the privacy information of agents. Finally, numerical experiments on distributed collaborative localization problem and federated learning confirm the effectiveness of the algorithm.展开更多
文摘肌阵挛-失张力癫癎（epilepsy with myoclonic-atonic seizures，EMAs），又称Doose综合征。Doose等1970年首次描述了EMAS的临床特征，1989年国际抗癫癎联盟（ILAE）将其归类为“隐源性和（或）症状性全面性癫癎”，2010年ILAE在关于癫癎发作、综合征分类及术语报告中将EMAS列为按年龄分类的电临床综合征中儿童期的一种。
文摘One algorithm and one method for PNNI(Private Network to Network Interface) routing were presented. The algorithm is OIL (Older Is Leader) algorithms for Peer Group selection, and the method is the DOO (Distributed object-oriented) method for HDOS (Hierarchy Distributed-Object System), PNNI systems and IP(Internet Protocol) networks. Based on the specifications from ATM forum, and the creative ideas from Distributed System realization, this paper studies and analyzes the private ATM network environment. The OIL algorithm and the DOO method are both for PNNI routing protocol. Through the PNNI simulation, the availability and robustness are proved for the above two improvements.
基金National‘86 3’ High Technolgy Plan!(86 3-317-0 1-0 1-0 1-99)
文摘A fuzzy requirement based strategy for QoS service in broadband networks was presented. With the analysis of QoS service in ATM networks and broadband IP networks, it gave a requirement based strategy for QoS service application with Fuzzy language evaluation principles. The requirement parameters are chosen according to the WANT/COST rule, and a fuzzy set is constructed to realize the fuzzy determinant. The simulation results show that it is useful to evaluate the QoS service in broadband networks, and to effectively simplify the access protocols and solve the billing issues in broadband networks.
基金supported by the National Natural Science Foundation of China (62033010, U23B2061)Qing Lan Project of Jiangsu Province(R2023Q07)。
文摘This paper considers the distributed online optimization(DOO) problem over time-varying unbalanced networks, where gradient information is explicitly unknown. To address this issue, a privacy-preserving distributed online one-point residual feedback(OPRF) optimization algorithm is proposed. This algorithm updates decision variables by leveraging one-point residual feedback to estimate the true gradient information. It can achieve the same performance as the two-point feedback scheme while only requiring a single function value query per iteration. Additionally, it effectively eliminates the effect of time-varying unbalanced graphs by dynamically constructing row stochastic matrices. Furthermore, compared to other distributed optimization algorithms that only consider explicitly unknown cost functions, this paper also addresses the issue of privacy information leakage of nodes. Theoretical analysis demonstrate that the method attains sublinear regret while protecting the privacy information of agents. Finally, numerical experiments on distributed collaborative localization problem and federated learning confirm the effectiveness of the algorithm.
