1612 results about "Edge based" patented technology

The present invention relates to a video coding method. Specifically, the invention relates to motion vector (MV) coding, wherein the MV coding is based on edge matching or adaptive template matching, namely the motion vector coding based on boundary matching (MVCBM) and the motion vector coding based on adaptive template matching (MVCATM). Generally speaking, the invention limits a prediction candidate set, wherein a predictor adaptively changes based on the current distribution of the adjacent MV. Subsequently, a matching technique (boundary matching in MVCBM and adaptive template matching in MVCATM) is used for reducing the number of the prediction and reducing the number of bits used by indexing. Afterwards, an optimal motion vector predicator is selected from the reduced concentrated predictor. The guessing strategy based on the least MVD standard further saves the number of indexing bits.

Systems and methods that accurately detect and locate an edge or boundary position based on a number of different characteristics of the image, such as texture, intensity, color, etc. A user can invoke a boundary detection tool to perform, for example, a texture-based edge-finding operation, possibly along with a conventional intensity gradient edge-locating operation. The boundary detection tool defines a primary region of interest that will include an edge or boundary to be located within a captured image of an object. The boundary detection tool is useable to locate edges in a current object, and to quickly and robustly locate corresponding edges of similar objects in the future.

A method and apparatus for intra prediction of an image having arbitrary directivity are provided. Arbitrary edge directions and amplitudes of the edges based are calculated on neighboring pixels of a prediction block. From the calculated edge directions, a number of intra prediction directions in an order of the amplitudes of the edges is selected. An optimum intra prediction mode is determined by performing block prediction in the selected number of the intra prediction directions.

The invention relates to a GIS device state intelligent monitoring system and method based on the edge computing technology. The system includes a state sensor terminal, a data node device and an intelligent monitoring center, wherein the state sensor terminal is used for gathering collected state data to the data node device to perform power IoT edge calculation and is connected with the intelligent monitoring center through the transmission network, the condition monitoring sensor terminal is used for acquiring related state parameters in real time and receiving and performing limited edge calculation tasks, the data node device is used for collecting the data and receiving and performing the edge calculation tasks, and the intelligent monitoring center is used for performing equipment IoT management, intelligent evaluation analysis and advanced application for a GIS device state and configuring an optimized edge calculation algorithm model and an SG-CIM data model to the data node device. The system is advantaged in that a circuit breaker GIS equipment Internet of Things system of a substation is constructed, and the automation, informationization and intelligence level of equipment state evaluation and diagnosis can be improved.

DNS in its native form cannot identify a good or best server. Traditional Service Providers deploy a centralised approach to global traffic management based on enhancements to DNS, but do have the capability to augment this with edge-based server selection because they do not own/operate an edge network. Their resolution of DNS requests is typically restricted to identifying candidate servers within an edge domain rather than selecting the “best” server. The invention proposes a method of handling Internet resource requests whereby a local lookup server receiving a request searches for a best server able to satisfy the resource request. The local lookup server finds the best server by searching a database for a resource record associated with the best server, and then uses the resource record to retrieve an identifier of a series of executable instructions that are executed to locate the best server. The resource requests and responses may hold additional information relating to operational characteristics which may used to determine the best server. The invention proposes a DNS record type comprising a user-defined field for conveying this additional information in the resource request and in the response. The invention also proposes architecture for handling the resource request comprising a network server that provides the requested resource using the best server, as well as a communications network comprising this architecture.

The probability of a computer file being malware is inferred by iteratively propagating domain knowledge among computer files, related clients, and/or related source domains. A graph is generated to include machine nodes representing clients, file nodes representing files residing on the clients, and optionally domain nodes representing source domains hosting the files. The graph also includes edges connecting the machine nodes with the related file nodes, and optionally edges connecting the domain nodes with the related file nodes. Priors and edge potentials are set for the nodes and the edges based on related domain knowledge. The domain knowledge is iteratively propagated and aggregated among the connected nodes through exchanging messages among the connected nodes. The iteration process ends when a stopping criterion is met. The classification and associated marginal probability for each file node are calculated based on the priors, the received messages, and the edge potentials associated with the edges through which the messages were received.

An efficient and non-iterative 3D post processing method and system is proposed for mosquito noise reduction, block localization and correction in DCT block-based decoded images. The 3D post processing is based on a simple classification that segments a picture in multiple regions such as Edge, Near Edge, Flat, Near Flat and Texture regions. The proposed technique comprises also an efficient and shape adaptive local power estimation for equivalent additive noise and provides simple noise power weighting for each above cited region. Temporal filtering configurations using Minimum Noise Variance Criterion are proposed for reducing temporally varying coding artifacts. A Minimum Mean Square Error or Minimum Mean Square Error-like noise reduction with robust and effective shape adaptive windowing is utilized for smoothing mosquito and/or random noise for the whole image, particularly for Edge regions. The proposed technique comprises also signal domain histogram analysis based Block Localization and adaptive edge based Block artifact correction. Finally, is also proposed an optional adaptive detail enhancer which can enhances the luminance signal in eight directions differently.

Aspects of the present invention include distributing new resources closer to end-users which are making increased demands by spinning-up additional virtualized instances (as part of a cloud provisioning) within servers that are physically near to the network equipment (i.e., web servers, switches, routers, load balancers) that are receiving the requests.

A scalable, minimum node complexity, energy efficient, and error-resilient routing method for wireless sensor networks is described. The network is partitioned into regions by power controlled base station scans using a directional antenna. Routing is performed using only local location information and instructions received from the base station at each sensor node with minimum processing and control overhead, thus allowing simple, low-cost sensor designs. Sensors in the network provide to a base station reports of the condition of the sensors themselves, and these reports are analyzed by the base station to determine improved routing instructions, which are then provided to the sensor nodes in control messages. Each data packet is relayed in an interleaved, loop-free mesh of sectors toward the base station, making data delivery robust to sensor failures and transmission errors. The disclosure also contains descriptions for simple edge-based tasking, query, code distribution, and network programming for sensor nodes. The method is suitable for large-scale, dense sensor networks for detection, alarming, and monitoring applications.

An interlaced to progressive scan video converter which identifies object edges and directions, and calculates new pixel values based on the edge information. Source image data from a single video field is analyzed to detect object edges and the orientation of those edges. A 2-dimensional array of image elements surrounding each pixel location in the field is high-pass filtered along a number of different rotational vectors, and a null or minimum in the set of filtered data indicates a candidate object edge as well as the direction of that edge. A 2-dimensional array of edge candidates surrounding each pixel location is characterized to invalidate false edges by determining the number of similar and dissimilar edge orientations in the array, and then disqualifying locations which have too many dissimilar or too few similar surrounding edge candidates. The surviving edge candidates are then passed through multiple low-pass and smoothing filters to remove edge detection irregularities and spurious detections, yielding a final edge detection value for each source image pixel location. For pixel locations with a valid edge detection, new pixel data for the progressive output image is calculated by interpolating from source image pixels which are located along the detected edge orientation.

A point cloud data processing device extracts features of an object from point cloud data thereof and automatically generates a three-dimensional model in a short time. The device includes a non-plane removing unit for removing points of non-plane areas from the point cloud data, and a plane labeling unit for adding identical labels to points in the same planes other than the points that are removed by the non-plane removing unit so as to segment the point cloud data into planes. The device also includes a three-dimensional edge extracting unit for extracting three-dimensional edges based on at least one of lines of intersections of the segmented planes and convex lines that convexly cover the segmented planes. The device further includes a two-dimensional edge extracting unit for extracting two-dimensional edges from within the segmented planes, and an edge integrating unit for integrating the three-dimensional edges and the two-dimensional edges.

A method and system for distributing printed advertising. Printed advertising may be pre-printed on printable paper sheets and leaving a printable field free of printed advertising on each of the plurality of sheets. The partially-printed paper is distributed to a plurality of users. Users access a website to confirm acquisition of the partially-printed paper. The website records usage of the partially-printed paper and increases a credit account associated with the user based on usage of the partially-printed paper. In an alternate method, the printed advertisement is formatted for marginal printing on printable paper sheets by a user's printer when a registered user downloads printed information via the Internet. A website records printing of the advertising information formatted for marginal printing and increases a credit account associated with the user based on printing of the advertising information formatted for marginal printing.

The invention provides an intelligent production system and method based on edge calculation and digital twinning, which belong to the field of intelligent production. The intelligent production system comprises a physical system, an edge digital twinning node, a digital twinning management control system, a production manufacturing simulation system, an order system and an AI algorithm model base. The method comprises the steps that intelligent sensing equipment acquires physical production line information in real time and transmits the physical production line information to the edge digital twinning node; the edge digital twinning node constructs an equipment model, predicts equipment faults and service life, and carries out visual display; and the digital twinning management control system generates simulation analysis operation of production equipment scheduling, optimizes a production scheduling strategy according to a simulation result of the production manufacturing simulationsystem, and sends a production scheduling instruction to the physical system. According to the invention, the calculation burden of the terminal processor is reduced, the time delay is reduced, the information mapping efficiency and the working efficiency of the whole intelligent production system are improved, and the equipment fault monitoring, prediction and maintenance at the edge side are realized.

The ensuring of predictable and quantifiable networking performance. Embodiments of the invention combine a congestion free network core with a hypervisor based (i.e., edge-based) throttling design to help insure quantitative and invariable subscription bandwidth rates. A lightweight shim layer in a hypervisor can adaptively throttle the rate of VM-to-VM traffic flow. A receiving hypervisor can detect congestion and communicate back to sending hypervisors that rates are to be regulated. In response, sending hypervisors can reduce transmission rate to mitigate congestion at the receiving hypervisor. In some embodiments, the principles are extended to any message processors communicating over a congestion free network.

An edge computing platform with machine learning capability is provided between a local network with a plurality of sensors and a remote network. A machine learning model is created and trained in the remote network using aggregated sensor data and deployed to the edge platform. Before being deployed, the model is edge-converted (“edge-ified”) to run optimally with the constrained resources of the edge device and with the same or better level of accuracy. The “edge-ified” model is adapted to operate on continuous streams of sensor data in real-time and produce inferences. The inferences can be used to determine actions to take in the local network without communication to the remote network. A closed-loop arrangement between the edge platform and remote network provides for periodically evaluating and iteratively updating the edge-based model.

The invention discloses an industrial Internet of Things system based on edge computing, and the system comprises a data collection module, an edge gateway, and a cloud processing platform; the data collection module is used for collecting the original data of a field device; The edge gateway is used for converting the original data into standard data, carrying out real-time analysis on key data in the original data, carrying out real-time intelligent processing on the field equipment according to an analysis result, carrying out classified packaging on the standard data, carrying out protocolconversion on the standard data, and sending the standard data to the cloud processing platform; And the cloud processing platform is used for carrying out data analysis, system monitoring and energymanagement according to the data from the edge gateway, and sending a data analysis result to a corresponding Internet of Things application. Through the edge gateway, the data transmission cost canbe effectively reduced, and the real-time decision and response of the key service can be ensured; By utilizing the powerful management capability of the cloud platform, mass data access is supported,a safe and reliable message processing capability is provided, and enterprises are assisted to integrate value chains and quickly construct innovative Internet of Things services.

A method for protecting a Web application running on a first local Web Server bases from hacker attacks, said Web Server being connectable to at least one client, the method comprising the following steps: —providing a plurality of preset rules on said Server, which correspond to specific characteristics of HTTP requests; —receiving an HTTP request on said server from the client, said HTTP request comprising a plurality of characteristics; —analyzing said characteristics of said received HTTP request in accordance with said rules provided on said server; —rejecting said HTTP request, if said rules identify said HTTP request as harmful request; —accepting said HTTP request, if said rules identify said HTTP request as trustable request; —classifying said HTTP request as doubtful request, if said rules identify said request neither as harmful request nor as trustable request; —evaluating the characteristics of said doubtful local request; —generating a learned rule on basis of the edge base evaluation.

A technique is provided for automatically generating a bone mask in CTA angiography. In accordance with the technique, an image data set may be pre-processed to accomplish a variety of function, such as removal of image data associated with the table, partitioning the volume into regionally consistent sub-volumes, computing structures edges based on gradients, and/or calculating seed points for subsequent region growing. The pre-processed data may then be automatically segmented for bone and vascular structure. The automatic vascular segmentation may be accomplished using constrained region growing in which the constraints are dynamically updated based upon local statistics of the image data. The vascular structure may be subtracted from the bone structure to generate a bone mask. The bone mask may in turn be subtracted from the image data set to generate a bone-free CTA volume for reconstruction of volume renderings.

A method and apparatus estimates the strength of block artifacts in compressed video is described. Block artifacts are associated with the block-based image/video compression schemes. The block artifacts deteriorate the quality of compressed image and video, especially at low bit rates. A deblocking method measures the strength of the block artifacts at each block boundary and adjusts the deblocking parameters accordingly to improve the performance of the overall deblocking process. A method and device to measure the strength of block artifacts based on the global and local edge information of the current picture is provided.

A system and method for processing a digital video signal corresponding to an image are provided. A plurality of independent edge detecting processes or edge detector modules detect a set of edges and at least one additional edge that is not included in the set of edges. An edge map includes data regarding all edges identified by any edge detecting process or module, and a visually perceptible artifact of the image is altered based at least in part on an evaluation of the edge map. The system and method detects and filters block artifacts and ringing or other noise from digital images, resulting in reduced image distortion.

A composite repair system and method for assisting in the repair of a cured composite part in which a damaged portion has been cut out and removed, exposing a plurality of composite plies and their corresponding composite ply edges. The composite repair system may comprise a light source to illuminate the ply edges, an image capturing device to obtain an image of the ply edges, and a computing device for processing the image of the ply edges and creating a map of the ply edges based on the image. The map may be used to manufacture filler plies having peripheral edges shaped to correspond with the composite ply edges for replacing the damaged portion of the composite part.

A method and processing system for generating a workflow graph from empirical data of a process are described. Data for multiple instances of a process are obtained, the data including information about task ordering. The processing system analyzes occurrences of tasks to identify order constraints. A set of nodes representing tasks is partitioned into a series of subsets, where no node of a given subset is constrained to precede any other node of the given subset unless said pair of nodes are conditionally independent given one or more nodes in an immediately preceding subset, and such that no node of a following subset is constrained to precede any node of the given subset. Nodes of each subset are connected to nodes of each adjacent subset with edges based upon the order constraints and based upon conditional independence tests applied to subsets of nodes, thereby providing a workflow graph.

The invention provides a method for the outline automatic extraction of a level set medical ultrasonic image area based on an edge and a statistical characteristic, aiming at the characteristics of low contrast degree and small signal-to-noise ratio of medical ultrasonic images and designing a method for the outline extraction of the level set area based on the edge and the statistical characteristic. The method comprises three steps of: 1, carrying out area outline coarse extraction, completing image inverse extraction and self-adapting Gaussian function background suppression, applying otsu image automatic threshold algorithm to convert the image into a binary image, and carrying out image degreasing interference operation and closed area outline extraction work; 2, adopting a selectivity aeolotropy medical ultrasonic image smoothing algorithm to pre-treat an original image; and 3, carrying out the precise extraction of the level set image area based on the edge and the statistical characteristic. Experimental results indicate that compared with the prior method, the method of the invention can obtain a more precise partition result.

The invention discloses an industrial big data monitoring system based on edge computing. The system comprises a data source layer, an edge layer, a platform layer and an application layer. The data source layer collects heterogeneous data information through various Internet of Things technologies and transmits the data to the edge server through a short-distance communication technology. The edge layer specifically analyzes and processes the real-time data acquired by the data source layer on the edge side, extracts high-value data and transmits the high-value data to the platform layer. theplatform layer mainly utilizes a cloud computing platform to realize the functions of industrial data analysis, data storage and the like on the data transmitted by the edge layer. The application layer is used for providing related software services based on the platform layer and displaying the information to a user through user terminal equipment. According to the invention, the problems of large platform load, low data processing efficiency, high network time delay, low security and the like of a traditional data monitoring system based on a cloud computing platform in an industrial dataviolence environment are mainly solved.