Results 21 to 30 of about 1,632,108 (266)
机车电传动, 2020 In the view of the lack of quantitative assessment in the performance assessment of the train communication network, a train communication network evaluation method, based on cloud model and combination weighting method, was proposed in this paper ...
Guoqiang LIU +3 more
doaj
Research on Ethernet Train Communication Network Based on URI Domain Name Addressing
机车电传动, 2021 In the ETB/ECN train communication network, when the train coupling or de-coupling, the train-level IP address of its equipment will change with the ETB attribute and coupling direction of vehicles.
Siyuan LI, Bo HAO, Zhenjun NING
doaj
An Efficient Time‐Sensitive Networking Traffic Scheduling Method for Train Communication Network
IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERINGAs a critical system of rail train, the train communication network (TCN) is an integrated central platform that is used to realize the train operation control, condition monitoring, and data transmission.
Guangchao Zhu +4 more
semanticscholar +1 more source
Reinforcement Learning Scheduler for Vehicle-to-Vehicle Communications Outside Coverage
, 2019 Radio resources in vehicle-to-vehicle (V2V) communication can be scheduled either by a centralized scheduler residing in the network (e.g., a base station in case of cellular systems) or a distributed scheduler, where the resources are autonomously ...
Boban, Mate +3 more
core +1 more source
Reconnection Design Between Bus-based and Switching-based Network Control System of High-speed Train
机车电传动, 2021 At present, there are mainly two communication modes in network control system of high-speed EMU in China: bus-type and switched-type. In some special cases, the two communication modes trains with the same speed grade need to realize connectivity ...
Yanhong SHI, Qian CHEN
doaj
Decentralised firewall for malware detection
, 2017 This paper describes the design and development of a decentralized firewall system powered by a novel malware detection engine. The firewall is built using blockchain technology.
Panigrahi, Rudrakh +3 more
core +1 more source
MG-WFBP: Efficient Data Communication for Distributed Synchronous SGD Algorithms
, 2018 Distributed synchronous stochastic gradient descent has been widely used to train deep neural networks on computer clusters. With the increase of computational power, network communications have become one limiting factor on system scalability.
Chu, Xiaowen, Li, Bo, Shi, Shaohuai
core +1 more source
Phosphatidylinositol 4‐kinase as a target of pathogens—friend or foe?
FEBS Letters, EarlyView.This graphical summary illustrates the roles of phosphatidylinositol 4‐kinases (PI4Ks). PI4Ks regulate key cellular processes and can be hijacked by pathogens, such as viruses, bacteria and parasites, to support their intracellular replication. Their dual role as essential host enzymes and pathogen cofactors makes them promising drug targets.
Ana C. Mendes +3 more
wiley +1 more source
Mechanisms of parasite‐mediated disruption of brain vessels
FEBS Letters, EarlyView.Parasites can affect the blood vessels of the brain, often causing serious neurological problems. This review explains how different parasites interact with and disrupt these vessels, what this means for brain health, and why these processes matter. Understanding these mechanisms may help us develop better ways to prevent or treat brain infections in ...
Leonor Loira +3 more
wiley +1 more source
Collaborative Training in Sensor Networks: A graphical model approach
, 2009 Graphical models have been widely applied in solving distributed inference problems in sensor networks. In this paper, the problem of coordinating a network of sensors to train a unique ensemble estimator under communication constraints is discussed. The
Kulkarni, Sanjeev R. +2 more
core +1 more source