22 results about "Bidirectional traffic" patented technology

The invention relates to a feature defense method and system in a network transmission process, and the method comprises the steps: intercepting a network transmission data flow in a migration channel of a virtual machine in real time, and building a bidirectional flow mirror image pipeline; performing deep protocol analysis and recombination on the original transmission message in the mirror image pipeline to obtain a structured traffic log of complete load information and metadata labels; based on a preset traffic feature set, extracting a memory paging transmission time sequence feature and a disk data block check code distribution feature from the structured traffic log, and constructing a first detection sub-vector; according to the invention, a high-precision virtual machine migration security protection system is realized.

The invention relates to the technical field of unmanned aerial vehicle flight path planning, in particular to a public route network generation method for a small unmanned aerial vehicle, which comprises the following steps: reading urban road network data, removing expressways and branches, and generating a two-dimensional route network; determining the lifting height according to the height of the tree, and generating a three-dimensional air route network; constructing a space matrix by using the surface feature passenger flow data and rasterizing a road network; rasterizing a coherent feasible region of a road network through morphological opening operation, and identifying an intersection and generating a topological structure by openCV; establishing a layered traffic line for the intersection to realize two-way traffic; the airspace utilization rate and the flight safety can be improved, and the problem of large-scale unmanned aerial vehicle path conflict is solved.

The invention relates to the technical field of highway lighting, and particularly discloses a photovoltaic lighting structure for a central isolation strip of an expressway, the photovoltaic lighting structure comprises a plurality of foundation columns fixedly mounted on a highway pavement and a plurality of wave baffles mounted on the foundation columns, and a plurality of light holes are formed in the wave baffles; the lighting mechanism is arranged on the outer side of the outer wall, close to one side of the foundation column, in the wave baffle; the power mechanism is arranged in the middle of the road and can receive airflow flowing power generated when the two-way traffic flow passes through, convert the airflow flowing power and transmit the airflow flowing power to the lighting mechanism. The photovoltaic mechanism is arranged between the power mechanism and the lighting mechanism and used for providing electric energy for the lighting mechanism. The light-transmitting pieces can correspond to the light-transmitting holes in position, light of the lighting mechanism penetrates through the light-transmitting pieces to be projected on the road surface, and a plurality of warning irradiation areas with different distances from the wave baffle are formed. According to the invention, an integrated photovoltaic illumination structure with autonomous energy supply, anti-dazzle and accurate projection warning is realized.

Aspects of the disclosure relate to sidelink (SL) discontinuous reception (DRX) techniques. A first device may determine SL DRX configuration parameters for SL communication between the first device and a second device. The SL DRX configuration parameters include a plurality of first transmission durations and a plurality of first DRX on-durations, the plurality of first transmission durations include times during which the first device is permitted to transmit via SL communication to the second device and the plurality of first DRX on-durations include times during which the first device monitors for SL communication from the second device. The first device may, at least one of, monitor for SL communication from the second device during at least one of the plurality of first transmission durations, or transmit via SL communication to the second device during at least one of the plurality of first DRX on-durations.

The application is suitable for the field of traffic control technology, and relates to a highway construction period tunnel intersection signal control method based on UWB, which comprises the following steps: S10, on the basis of UWB networking of a target area and a construction vehicle, a plurality of detection zones are set, and the real-time state of the construction vehicle and the detection zones is analyzed by using a difference method according to real-time coordinates of the vehicle; S20, according to the real-time state of the relevant detection zones of each working face, a target working face of the vehicle in the entry slope hole direction of the intersection is analyzed; S30, based on the real-time state of the vehicle reaching the detection zone, the sequence of the vehicle reaching the entry road of the intersection is analyzed, and the passing right of the vehicle reaching the entry road of the intersection is distributed according to the release rule of the conflict zone of the intersection; and S40, for the vehicle with the passing right, the turning decision of the vehicle at the intersection is determined according to the construction organization demand. The application solves the traffic control technical problem in the scene that the driving sight distance of the conflict vehicle flow of the intersection in the bidirectional traffic tunnel is seriously limited.

The invention relates to the field of network flow collection and analysis, in particular to a full-stack path tracking method and system based on network analysis and electronic device.The method comprises the steps that data packets are collected from key network nodes, and key indexes of the data packets are extracted through TCP analysis; constructing a session record which takes a composite key as a unique identifier and aggregates the key indexes; inputting identification information of a target session, and querying all related sessions of bidirectional traffic of the target session in the session record; dividing the queried sessions into a session set of a request path from the client to the server and a session set of a response path from the server to the client, and sorting the session sets of the request path and the response path by using a non-insertion association algorithm; and determining a final path according to a sorting result. According to the method, a communication path can be completely restored without implanting codes, and low-intrusion and high-reliability full-stack traffic tracking and visual analysis are realized.

The embodiment discloses a device forwarding performance test method, device, system, equipment, medium and product. The method comprises the following steps: obtaining a first IPv6 one-way traffic packet loss detection result; obtaining a second IPv6 one-way traffic packet loss detection result; determining a first target board card in the user side board card and the network side board card which causes the SRv6TE bidirectional traffic packet loss according to the first IPv6 one-way traffic packet loss detection result and the second IPv6 one-way traffic packet loss detection result; constructing the SRv6TE bidirectional traffic between the first target board card and the second target board card, and testing the maximum forwarding traffic size of the second target board card under the condition that the SRv6TE bidirectional traffic is constructed between the target auxiliary board card and the second target board card.

The application discloses a kind of adaptive bidirectional traffic shaping method and system suitable for service grid, it is related to network security technical field, the metadata collection mechanism based on time window of the present application makes system can continuously perceive service state change, by the configuration file of dynamic updating shaping strategy, it is realized to the quick adaptation of new service on-line, traffic mode change etc. Scene, by dynamically clustering analysis service traffic characteristics, can automatically identify key services and form optimal shaping strategy, realize the accurate allocation of network resources, effectively avoid the problem of bandwidth waste or key service resource shortage caused by traditional fixed strategy. Adopt sending / receiving double-agent architecture, implement cooperative shaping at both ends of communication. The sending end marks the shaped traffic by header identification, and the receiving end significantly reduces the impact of burst traffic on the system through intelligent reorganization and differential processing of virtual / real requests, improving the stability and reliability of inter-service communication.

The invention relates to a road motor vehicle OD and city motor vehicle OD splicing method. The method comprises the steps that a traffic area is divided into an urban community, a toll station community and an external community; calculating a passenger flow volume proportion between the cells based on the mobile phone signaling data; and calculating the traffic flow between the urban communities and the external communities in combination with the entrance and exit directions of the toll stations. The method has the beneficial effects that the motor vehicle flow of the inner and outer regions of the city is accurately split by combining the in-out direction of the toll station and the passenger flow distribution proportion of the mobile phone signaling data, and the data blank between the city and the regional traffic model is filled. Moreover, a bidirectional flow splitting algorithm is adopted, so that the error of a single data source is effectively reduced, and the reliability of a calculation result is improved.

Disclosed is a cloud-based security system implemented in a forward proxy that provides generative artificial intelligence (GenAI) traffic inspection to protect against security and privacy concerns related to GenAI use for protected endpoints. The security system intercepts requests and determines whether those requests are directed to a GenAI application. The security system includes a GenAI request classifier trained to classify prompts submitted to GenAI applications as one of benign, prompt injection attack, or uploaded files. The security system further includes a GenAI response classifier trained to classify responses from GenAI applications as one of normal, leaked system prompt, leaked user uploaded files, or leaked training data. Based on the classification, and optionally other security analysis, the security system may enforce security policies on both the requests and responses that block the traffic, trigger alerts to administrators, and the like to enforce security and privacy protection on bidirectional traffic.

The invention belongs to an expressway in an urbanization area. The invention aims to improve the safety and mobility of road users, reduce energy consumption and environmental pollution and create an enterprise logistics system. The core of the invention is that the forward high-speed lane is located on the left side, the reverse high-speed lane is located on the right side, and the distance between the two lanes can accommodate company buildings. The vehicles are connected through a low-speed one-way traffic lane and can reach a commercial district, a passenger getting-on and getting-off point and a parking lot only at a right-hand curve. In order to ensure safe passage of pedestrians, bicycle riders and light motorcycles, a special passage is arranged on a second plane along the road between the buildings. A passenger tramcar with a loading and unloading area and loading and unloading equipment, a freight tramcar and a passenger traffic infrastructure are arranged below the special passage and on the underground part. And a logistics base is planned at the tail end of the track. And the second plane of the underground part comprises subway trains and infrastructures for passenger transportation. These purposes are achieved by avoiding intersections of traffic aisles and creating a reasonable multi-mode transportation and logistics system.

The invention discloses a cloud environment safe screen recording method and system based on a VNC (Virtual Network Console), and relates to the field of cloud computing or other related technical fields, the method comprises the following steps: a user identity token in an access request initiated by a VNC terminal passes verification, server information and meta-information of cloud resources are read, based on the server information, the VNC terminal receives the meta-information of the cloud resources, and the VNC terminal receives the meta-information of the cloud resources; executing real-time two-way traffic proxy by using the started traffic copy coroutine, drawing a local change picture from the VNC server to the VNC terminal to the canvas, extracting a snapshot from the canvas at a preset configuration frame rate, and adding a watermark in the snapshot; and performing real-time encoding on the snapshot added with the watermark by using a target video encoder, pushing a video stream obtained by encoding to a real-time transmission server, and transmitting the video stream to a plurality of clients for playing. According to the method and the device, the technical problems that real-time multi-terminal sharing cannot be realized and the multi-terminal cooperation working efficiency is reduced when screen recording is carried out in a cloud environment in the prior art are solved.

The invention discloses an integral steel box girder bridge deck replacement and updating construction device and method based on bidirectional traffic keeping. The device comprises a mobile positioning mechanism, and a hoisting mechanism and a traffic guiding mechanism which are arranged on the mobile positioning mechanism, the movable positioning mechanism comprises a mounting frame, supporting frames are arranged on the mounting frame in an array mode, the bottoms of the supporting frames are bent outwards, the tops of the supporting frames are vertically arranged upwards, a top plate is mounted at the top ends of the supporting frames, extending plates are symmetrically arranged at the two ends of the top plate, connecting rods are arranged between the extending plates, and sliding frames are arranged at the bottom ends of the extending plates. The hoisting mechanism comprises a hoisting frame, a second mounting plate is arranged at the bottom end of the hoisting frame, a winch is arranged at the bottom end of the second mounting plate, and a hoisting piece is arranged on the winch; the traffic guiding mechanism comprises installation rods arranged on the supporting frame and the top plate in an array mode, and guardrail plates are installed on the installation rods in a sliding mode. The position and the angle of the guardrail plate are flexibly adjusted according to the construction progress and traffic diversion requirements, and traffic jam caused by guardrail movement is reduced.

A method for obtaining, by a first network device of a pair of network devices, a packet, wherein the packet specifies a source address corresponding to a first client device and a destination address corresponding to a second client device, making a first determination, by the first network device and using the source address and the destination address, that the first network device is not an owner of bidirectional traffic associated with the packet, based on the first determination, transmitting, by the first network device, the packet to a second network device of the pair of network devices, making a second determination, by the second network device, that the second network device is the owner of bidirectional traffic associated with the packet, performing, in response to the second determination and by the second network device, data processing on the packet to generate a processing result.

A reflector unit may act as a retroreflector to reflect light of a selected color. The reflector unit may include a plurality of reflector elements having a first side configured to reflect light of a first color and a second side configured to reflect light of a second color. In response to receiving a signal (e.g., indicating that the bidirectional vehicle has changed direction of travel), the reflector unit may rotate the reflector element and expose different sides of the reflector element according to the direction of travel. In some examples, the reflector unit may have a shielding element that may be actuated to cover or expose the reflective element.

The invention discloses an expressway missing traffic state estimation method based on a physical information guide neural network, and the method comprises the steps: carrying out the time-space discretization of two detectors and a middle non-detection road segment of an expressway, and enabling the cellular states of the installation positions of the two detectors to be observable traffic states; the states of all cells in the non-detection area are to-be-estimated traffic states; a bidirectional traffic state estimation framework from upstream to downstream and from downstream to upstream is provided, a neural network is designed based on a traffic state estimation model, a downstream boundary cellular state is utilized to carry out iterative estimation on all upstream cellular states, and an upstream boundary cellular state is utilized to carry out iterative estimation on all downstream cellular states. And the bidirectional estimation result is fused to form a final estimation result. According to the method, the accuracy and reliability of missing traffic state estimation can be improved, meanwhile, the interpretability of the model is ensured, the expressway traffic flow time-space evolution mechanism can be accurately grasped, and the full-time-space domain traffic state of the expressway target area can be estimated in real time.

A system facilitates communication between branches of an SD-WAN and a service chain element. A hub node receives a data packet of a flow from a source branch over a VPN segment to be transmitted to a destination branch, extracts flow information from the data packet including VPN segment information to be stored in a flow table before transmitting the data packet to the service chain element over a service chain VPN. Upon return of the data packet from the service chain element, the hub node uses packet tuple information to retrieve the flow information with VPN segment information from the flow table. The hub node can then forward the data packet to the destination branch over the VPN segment. The hub node can generate and store an Auto Service Chaining Key that connects bidirectional flows so that the hub node can apply service-chaining to bidirectional traffic.

The present invention relates to the field of vehicle flow detection technology, and discloses a two-way vehicle flow identification method and device based on target detection and tracking algorithms, the method comprising: including one or more target vehicle objects in a current road section image; inputting the current road section image into a target detection model for analysis to obtain object information of the target vehicle object, inputting the object information into a tracking algorithm model for analysis to obtain a tracking sequence number of the target vehicle object; determining the traffic status result of each target vehicle object based on the object information and tracking sequence number of each target vehicle object and a traffic data set; determining the traffic flow result based on the traffic status result of the identified vehicle objects in the traffic data set, and all identified vehicle objects include the target vehicle object. It can be seen that the present invention can improve the accuracy and reliability of the determined traffic flow result, the determination efficiency and the determination convenience, thereby improving the accuracy, efficiency and timeliness of traffic flow identification of the target road section.

This application relates to an interconnection method and apparatus for VXLAN EVPN symmetrical networking. The method includes: configuring a Common Layer 3 Virtual Network Identifier (VNI) on the VXLAN interface of a VTEP device; after receiving target traffic, the local VTEP device performs a route lookup on the destination address corresponding to the target traffic; when the destination address matches a gateway-directed route but no corresponding address resolution information is obtained, a probe route is generated; the probe route is sent to the peer VTEP device; an EVPN Type II route is received from the peer VTEP device; and the target traffic is forwarded according to the EVPN Type II route to achieve interconnection in VXLAN EVPN symmetrical networking. The interconnection method and apparatus for VXLAN EVPN symmetrical networking disclosed in this application can solve the interconnection obstacles caused by missing address resolution information in unidirectional traffic scenarios, and achieve rapid establishment and reliable interconnection of bidirectional traffic.

This invention discloses a method for dynamic modeling of bidirectional traffic flow based on a deep spatiotemporal graph neural network, belonging to the field of intelligent transportation and data mining. The method includes the following steps: S1, constructing a dynamic traffic flow graph to capture the local spatiotemporal dependencies of the traffic flow; S2, after obtaining the local spatiotemporal dependencies, using a temporal convolutional layer to extract temporal features; S3, after obtaining the temporal features, using a selection gate to filter the effective information obtained in S2 to obtain the final output; S4, after obtaining the result in S3, using a composite graph convolutional module to extract spatial features; S5, fusing the bidirectional traffic flow and obtaining the final prediction result through a prediction layer; S6, calculating the model loss to determine whether the model meets the requirements. This invention addresses the problems of insufficient bidirectional traffic flow modeling, inadequate capture of dynamic dependencies, and poor adaptability to complex traffic scenarios faced by existing technologies in traffic flow prediction, thereby improving the accuracy and applicability of traffic flow prediction.

The invention discloses a self-adaptive two-way traffic shaping method and system suitable for a service grid, and relates to the technical field of network security, the system can continuously perceive the change of a service state based on a metadata collection mechanism of a time window, and a configuration file of a shaping strategy is dynamically updated so as to realize the self-adaptive two-way traffic shaping of the service grid. According to the method and the system, rapid adaptation to scenes such as new service online and traffic mode change is realized, service traffic characteristics are analyzed through dynamic clustering, key services can be automatically identified, an optimal shaping strategy is formed, accurate distribution of network resources is realized, and the problem of bandwidth waste or insufficient key service resources caused by a traditional fixed strategy is effectively avoided. A sending / receiving double-agent architecture is adopted, and cooperative shaping is implemented at two communication ends. The sending end marks the shaping traffic through the head identifier, and the receiving end significantly reduces the impact of the burst traffic on the system through the differential processing of intelligent recombination and virtual / real requests, and improves the stability and reliability of communication between services.

The invention discloses a multi-segment BTSform intelligent identification method for double traffic, and belongs to the field of network security and traffic identification. According to the method, a packet length sequence is divided into communication stage sub-segments through a fixed window, and in-segment time sequence modeling and inter-segment global semantic modeling are carried out respectively. Extracting context features in the segments by adopting an embedded layer and a multi-layer Bi-GRU, introducing CLS Token between the segments, fusing behavior semantics of each segment by using a multi-head self-attention mechanism MSA, generating a flow-level global feature vector, and inputting the global feature vector into a classifier to realize encrypted traffic application category judgment; in the training stage, optimization is carried out by combining cross entropy loss with L2 regularization, and the generalization ability and convergence of the model are ensured. Modeling is carried out only based on an observable packet length sequence in the encryption communication process, plaintext content, an IP address or a port number is not depended on, and privacy protection and deployment universality are achieved; the model is light in structure and clear in division, can be deployed on edge equipment or security gateways, and supports real-time traffic identification and high-concurrency scenes.