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3030 results about "Backbone network" patented technology

A backbone is a part of computer network that interconnects various pieces of network, providing a path for the exchange of information between different LANs or subnetworks. A backbone can tie together diverse networks in the same building, in different buildings in a campus environment, or over wide areas. Normally, the backbone's capacity is greater than the networks connected to it.

System and method for a wireless unit acquiring a new internet protocol address when roaming between two subnets

In a wireless network system having a wired backbone network with two or more sub-networks, each having one or more access points for communicating with wireless units via a wireless transmission medium, a system, apparatus and method for a wireless unit to determine whether a candidate access point is on a different sub-network than its current access point. If the wireless unit determines that the candidate access point is on a different sub-network, then the wireless unit releases its current network protocol address which was valid for the current sub-network, and obtains a new network protocol address valid for the new sub-network. This is accomplished by the candidate access point transmitting a multicast packet that includes the network protocol address of the access point and the subnet mask of the sub-network which the access point is on. By receiving this multicast packet, the wireless unit can determine if the candidate access point is on a different sub-network than its current sub-network. Also disclosed is a technique for a wireless unit to determine whether to roam to a candidate access point based on the signal qualities to its current and candidate access points, and whether the candidate access point is on a different sub-network or a designated restricted sub-network.
Owner:MICROSOFT TECH LICENSING LLC

Network equipment for supplying multimode mobile terminals with data necessary for automatically selecting radio access network interfaces during service sessions

A network equipment is dedicated to radio access networks of different types connected to a backbone network to which is coupled at least one application equipment including at least one external application adapted to exchange data with at least one internal application installed on multimode mobile terminals and further comprising at least two network interfaces adapted to be connected to radio access networks. The equipment comprises management means adapted to transmit to a designated terminal a control software module adapted once installed to provide a proxy interface function between internal and external applications adapted each time that it receives a transaction request designating an external application from an internal application of the terminal to determine which of the network interfaces of the terminal is suited to the transaction as a function of control information and routing information and then to instruct the operating system of the terminal to transmit the transaction request to the designated external application via a transport level connection between the determined network interface and the application equipment containing the external application.
Owner:ALCATEL LUCENT SAS

Stratification characteristic analysis-based method and apparatus thereof for on-line identification for TCP, UDP flows

The invention relates to a stratification characteristic analysis-based method and an apparatus thereof for on-line identification for TCP, UDP flows. The method comprises the following steps that: an off-line phase determines a common port number of a first layer to-be-identified service type and a characteristic field of a second layer to-be-identified service data flow through a protocol analysis; a port number and characteristic field database is constructed; meanwhile, a third layer Bayesian decision tree model is obtained by training by employing a machine study method; and service type identification on a flow is completed by utilizing the characteristic database and a study model at an on-line classification phase. In addition, the apparatus provided in the invention comprises a data flow separating module, a characteristic extraction module, a characteristic storage module, a characteristic matching module, an attribute extraction module, a model construction and classification module and a classification result display module. According to the embodiment of the invention, various application layer services based on TCP and UDP are accurately identified; moreover, the identification process is simple and highly efficient; therefore, the method and the apparatus are suitable for realization of a hardware apparatus and can be applied for equipment and systems that require on-line flow identification in a high speed backbone network and an access network.
Owner:BEIJING UNIV OF POSTS & TELECOMM

A pedestrian and vehicle detection method and system based on improved YOLOv3

The invention discloses a pedestrian and vehicle detection method and system based on improved YOLOv3. According to the method, an improved YOLOv3 network based on Darknet-33 is adopted as a main network to extract features; the cross-layer fusion and reuse of multi-scale features in the backbone network are carried out by adopting a transmittable feature map scale reduction method; and then a feature pyramid network is constructed by adopting a scale amplification method. In the training stage, a K-means clustering method is used for clustering the training set, and the cross-to-parallel ratio of a prediction frame to a real frame is used as a similarity standard to select a priori frame; and then the BBox regression and the multi-label classification are performed according to the loss function. And in the detection stage, for all the detection frames, a non-maximum suppression method is adopted to remove redundant detection frames according to confidence scores and IOU values, and an optimal target object is predicted. According to the method, a feature extraction network Darknet-33 of feature map scale reduction fusion is adopted, a feature pyramid is constructed through feature map scale amplification migration fusion, and a priori frame is selected through clustering, so that the speed and precision of the pedestrian and vehicle detection can be improved.
Owner:NANJING UNIV OF POSTS & TELECOMM
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