57 results about "Pixel connectivity" patented technology

In one exemplary aspect, an edge-gateway multipath method includes the step of providing an edge device in a local network communicatively coupled with a cloud-computing service in a cloud-computing network. A set of wide area network (WAN) links connected to the edge device are automatically detected. The WAN links are automatically measured without the need for an external router. The edge device is communicatively coupled with a central configuration point in the cloud-computing network. The method further includes the step of downloading, from the central configuration point, an enterprise-specific configuration data into the edge device. The enterprise-specific configuration data includes the gateway information. The edge device is communicatively coupled with a gateway in the cloud-computing network. The communicatively coupling of the edge device with the gateway includes a multipath (MP) protocol.

The invention relates to a human body measurement method, in particular to the non-contact human body measurement method for clothing design which belongs to the technical field of clothing design. The digital images of the front surface and the side surface of the human body are firstly obtained; the extraction of the image edges are carried out by adopting the color segmentation, the best threshold segmentation, the hole filling, the opening operation and the pixel communication image processing method, thereby obtaining the image edges of the front surface and the side surface of the human body; the human body measurement feature points and the lines are determined, the corresponding height and width measurement data of the human body for the clothing design are obtained by calculation; a mathematical model is established by applying the width and the thickness data of the human body to obtain the related circumference data, and the human body circumference measurement data for the clothing design is obtained by BP neural network simulation and regression prediction treatment. The method has simple device, convenient operation and low measurement cost, thereby being capable of meeting the requirements on the design and the production of the clothing industry and having broad popularization and application prospects.

Provided is an apparatus and method for performing activation / deactivation of a serving cell in a wireless communication system supporting dual connectivity. The method for performing activation / deactivation of serving cell by a user equipment in a wireless communication system includes configuring a dual connectivity with at least two different base stations based on dual connectivity configuration information received through RRC (Radio Resource Control) message from a base station, receiving activation / deactivation information about secondary serving cell configured for the UE from each of two different base stations, and selectively applying the activation / deactivation information about the secondary serving cell configured for the UE based on information including the secondary serving cell provided by the base station or information about the base station providing the secondary serving cell configured for the UE.

An electronic device with multiple sensors can report the various sensor readings and measurements using wireless connectivity to a remote computer system operating a sensing as a service platform and a web application.

A method for automatically establishing a wireless connection between a receiving screen and a mobile wireless device to enable streaming of multimedia data is provided herein. The method comprises the steps of: (i) creating a dynamic image code which includes data enabling wireless connection that is associated with the target screen device; (ii) displaying said image code on the target screen device, until a connection with a mobile wireless device is established; (iii) capturing said dynamic image code by the mobile wireless device; (iv) decoding the dynamic code for retrieving the data enabling wireless connection that is associated with the target screen; and (v) establishing a wireless connection between a target screen device and a mobile wireless device for enabling data streaming by the mobile wireless device based on the retrieved enabling data wireless connection.

The invention provides a quantitative characterization method and a quantitative characterization device for pore connectivity. The quantitative characterization method comprises the following steps: performing three-dimensional digital imaging processing on a sample to obtain a two-dimensional digital image sequence of the sample; distinguishing two-dimensional digital images in the two-dimensional digital image sequence according to the sequence to generate a binary digital image sequence; generating a three-dimensional digital model according to the binary digital image sequence; determining the number of total pixel points and pore pixel points and location markers of all points in a three-dimensional digital model according to the preset resolution; determining pore connected domains of the sample according to a seed fill algorithm and the three-dimensional digital model; generating a pore connectivity quantitative characterization result according to the number of the total pixel points and the pore pixel points, the location markers of all the points and all determined pore connected domains. According to the quantitative characterization method, the pore connectivity of rocks can be characterized visually and quantitatively; the quantitative characterization method provides a powerful tool for physical property evaluation of reservoirs, the permeability evaluation of porous media and the like.

An optimized spanning tree protocol (OSTP) minimizes latency and provides high throughput in a full-mesh portion of a network, and is compatible with external networks where a standard spanning tree protocol is used. The OSTP enables traffic traversing the full-mesh portion to take a shortest path from source to destination through use of full-mesh connectivity. In some embodiments, a cluster includes a plurality of servers connected in a full mesh, and the OSTP is used on internal ports of the servers. In some embodiments, the OSTP is configured on a per-VLAN basis. In some embodiments, the servers exchange special messages enabling determination of full-mesh connectivity. In further embodiments, sending of the special messages is suppressed on certain port types, such as external ports. In some embodiments, determination of the full-mesh connectivity disables use of a standard spanning tree protocol and / or enables use of OSTP on the full-mesh portion.

A novel and useful neural network (NN) processing core incorporating inter-device connectivity and adapted to implement artificial neural networks (ANNs). A chip-to-chip interface spreads a given ANN model across multiple devices in a seamless manner. The NN processor is constructed from self-contained computational units organized in a hierarchical architecture. The homogeneity enables simpler management and control of similar computational units, aggregated in multiple levels of hierarchy. Computational units are designed with minimal overhead as possible, where additional features and capabilities are aggregated at higher levels in the hierarchy. On-chip memory provides storage for content inherently required for basic operation at a particular hierarchy and is coupled with the computational resources in an optimal ratio. Lean control provides just enough signaling to manage only the operations required at a particular hierarchical level. Dynamic resource assignment agility is provided which can be adjusted as required depending on resource availability and capacity of the device.

The invention provides a remarkable object detecting method utilizing image boundary information and area connectivity. According to the method, superpixel segmenting is carried out on an image to be detected, average Lab color feature vectors of superpixels and the space topological relation of the superpixels are utilized for constructing three non-vector weight graphs, the shortest path from each superpixel to the image boundary is calculated to obtain three saliency maps, the three saliency maps are multiplied to obtain a final saliency map, and detection of salient objects is finished; local context information of the superpixels is utilized for correcting saliency values, so that the detection precision of the salient objects is improved, and then the saliency of a background region is reduced; in addition, a logistic regression device is adopted for carrying out feature integration on the corrected saliency map obtained through calculation carried out according to different kinds of connectivity to obtain final uniform and highlight saliency map in the saliency object region. According to the method, the saliency object region can be made highlight fast, and the false drop rate of a high-contrast region in the background can be reduced.

A method and an apparatus for wireless link (radio link) control in a wireless communication system supporting dual connectivity is disclosed. The present invention includes: detecting radio link failure (RLF) of a secondary serving cell provided from a secondary base station, separately from detecting RLF of a primary serving cell provided from a master base station; generating a RLF specifier specifying an occurrence of RLF of the secondary serving cell when RLF of the secondary serving cell is detected; and transmitting the RLF specifier to an RRC connected master base station. A wireless link between a terminal and a master base station and a wireless link between a terminal and a secondary base station can be managed individually when a terminal is dually connected to both the master base station and the secondary base station in a network.

The present invention relates to a color interpolation method for Bayer filter array images. The method first inputs a 3×3 Bayer pattern block with a center pixel. Next, a color filter interpolation case is determined according to the type of the center pixel. Next, Bayer pixel averages and Bayer pixel differences in horizontal and vertical directions of the color filter interpolation case are obtained. Next, missing color components of the center pixel are interpolated in both horizontal and vertical directions. Next, color differences in the horizontal and vertical directions are obtained based on the Bayer pixel differences and averages. Next, a pixel activity of the 3×3 Bayer pixel block is determined. Finally, interpolated color components in the direction of lower color differences are selected, when the pixel activity is high.

Methods and apparatus are provided for interoperating a device with network based services. In one embodiment, a method includes detecting registration with a service account, providing a graphical display for user selection during output associated with content stored by the device, the graphical display identifying a network based service based on the service account, and detecting user selection of the graphical display, wherein the network based service relates to a network accessible third party service associated with the device based on the service account. The method may further include transmitting the content by the device based on the user selection to the network based service.

Disclosed is a method for conducting random access on a small cell under dual connections. The method comprises: on a designated small cell, a user equipment (UE) sending a dedicated random access preamble code corresponding to the designated small cell to a base station to which the designated small cell belongs; and the UE receiving a random access response message sent by a base station to which a main control cell belongs in dual connections or the base station to which the designated small cell belongs. Also disclosed, at the same time, are a system for conducting random access on a small cell under dual connections, a base station, a UE and a computer storage medium.

Circuit component connectivity evaluation and validation method provides comparing and validating the correctness of electrical phase connectivity at connection nodes between conducting components within a circuit model of a power distribution network or other circuit. Phase connectivity requirements of each connected component / device / equipment in a particular circuit are obtained from a Common Interface Model (CIM) file containing parameter data describing the circuit. XML data strings obtained from the CIM file are parsed into enumerated data objects representing each component's phase connectivity requirements and assigned unique four bit binary phase connectivity mask values indicative of the particular electrical phase connectivity requirements of each component. Associated mask values corresponding to connection nodes between pairs of connected components are bit-wise logically “AND”ed and the result compared to each component's bit mask to validate that each connected component in the circuit is a correct phase type match with other components to which it is connected.

The invention discloses a special cell selection at secondary network nodes supporting dual connectivity. A computer program, network node and method performed at a secondary network node within a wireless communication network supporting dual connectivity, such that a user equipment may communicate with a master network node and a secondary network node at a same time, the secondary network node supporting a plurality of cells. The method comprising: determining at the secondary network node that a configuration of one of the plurality of cells as a special cell for the user equipment such that the special cell provides predetermined functionality should be transferred to another one of the plurality of cells; and in response to the determining step, transmitting a request for a change in special cell towards the master network node.

A local connectivity feature transform (LCFT) is applied to binary document images containing text characters, to generate transformed document images which are then input into a bi-directional Long Short Term Memory (LSTM) neural network to perform character / word recognition. The LCFT transformed image is a gray scale image where the pixel values encode local pixel connectivity information of corresponding pixels in the original binary image. The transform is one that provides a unique transform score for every possible shape represented as a 3×3 block. In one example, the transform is computed using a 3×3 weight matrix that combines bit coding with a zigzag pattern to assign weights to each element of the 3×3 block, and by summing up the weights for the non-zero elements of the 3×3 block shape.

An adaptive synchronous watermark method based on image connectivity includes converting original grey scale image to be two-valued image, obtaining connecting through image, mapping it into grey scale image, selecting relatively big gravity as reference point to embed watermark and ensuring adaptive synchronization of watermark by utilizing unchanged topology and stable gravity of image.

An integrated circuit package system includes: forming a lead having a both top contact portion and a bottom contact portion; connecting an integrated circuit die and the lead; and forming a package encapsulation, having a top side and a bottom side, over the integrated circuit die. The forming the package encapsulation includes partially exposing the top contact portion at the top side, and partially exposing the bottom contact portion along the bottom side with the bottom contact portion extending beyond a nonhorizontal portion of the package encapsulation.

The invention discloses a focusing segmentation method for a light field refocusing image. The focusing segmentation method comprises the steps of transforming an input image into a neuron firing sequence space by using a PCNN computation model to generate a two-dimensional firing sequence matrix; in the firing sequence matrix, analyzing a connected region and a connectivity of each firing sequence number to obtain a connectivity attribute of each pixel; according to the pixel connectivity attributes and a pixel neighborhood firing sequence model, establishing a pixel classification criterion; for each pixel, marking a classification attribute according to the pixel classification criterion, and forming a classification mark matrix; and on the classification mark matrix, searching a region with the highest density of "clear marks" using a sliding window technique, and segmenting a corresponding region as a focusing region in an original refocusing image to be output. The method can obviously reduce the focusing segmentation time without losing the accuracy of the segmentation; and the method has simple configuration and good scalability, and is very suitable for the field of computationally intensive light field image processing.

The invention provides a method and a system for detecting internal connectivity of frame type equipment. The method for detecting the internal connectivity of a frame type device comprises the stepsthat a main control board card obtains all first internal cascade ports and records message sending port bitmaps corresponding to all the first internal cascade ports; the main control board card sends a detection message to all the first internal cascade ports, so that any first internal cascade port forwards the detection message to the service board card corresponding to the first internal cascade port; any service board card judges whether the detection message meets a preset requirement or not; if yes, any service board card redirects the detection message to the main control board card through a second internal cascade port; the main control board card records message receiving port bitmaps corresponding to all the second internal cascade ports, and compares whether the message sending port bitmaps are matched with the message receiving port bitmaps or not; and the main control board card determines the internal connectivity condition of the frame type equipment according to a matching result of the message sending port bitmap and the message receiving port bitmap.

The embodiment of the invention provides a secondary node control method in double connection and a base station, and the method comprises the steps: obtaining a radio access network notification areacode of a terminal, and issuing measurement configuration information to the terminal, so that the terminal reports a measurement report according to the measurement configuration information; locally storing all cell information of which the reference signal receiving power RSRP value is higher than a preset threshold value in the measurement report as a first adjacent cell list; locally storinga cell with the same radio access network notification area code as the terminal in the first adjacent cell list as a second adjacent cell list; and determining the secondary node in the second adjacent cell list to establish dual connection. According to the auxiliary node control method in dual connection and the base station provided by the embodiment of the invention, different application scenarios are comprehensively considered, and the auxiliary node is selected to establish dual connection according to the channel quality and the data flow of the terminal, so that the performance of the terminal is maximized.

The invention belongs to polymer flooding of a tertiary oil recovery technology, in particular to a polymer flooding production optimization method and system based on inter-well connectivity. According to the polymer flooding production optimization method and system based on the inter-well connectivity, the primary option is that an oil deposit is simplified into a series of inter-well connectivity unit bodies, the shunt volume of all well points are obtained through calculation, and an initial polymer flooding connectivity model is established; then characteristic parameters of the initialpolymer flooding connectivity model are adjusted, and the optimized polymer flooding connectivity model is generated; and finally constraint conditions are combined, a polymer flooding optimal controlmodel is set up, and the polymer flooding index when the economic net present value is maximum is solved, and scene injection-production plan design is instructed. According to the polymer flooding production optimization method and system based on inter-well connectivity, the connectivity model of polymer flooding production-polymer concentration can be quickly predicted, the actual production data are combined so that historic matching is conducted, the polymer flooding optimal control model is solved through an optimization algorithm, adjustment and control of liquid production capacity and polymer injection concentration in each stage can be automatically realized, the oil production volume is increased, the economic benefits are improved, and scene injection-production plan design isinstructed.

The invention relates to the technical field of integrated circuits, in particular to a method for detecting pin connectivity of an integrated chip. The method comprises the following steps: S1, providing an integrated chip which provides a universal input / output interface; S2, providing terminal equipment providing an output pin connected with the universal input / output interface correspondingly;and S3, switching the high-low level state of the universal input / output interface to detect the level state of the output pin so as to determine a line connection relationship between the integratedchip and the terminal equipment. The method has the following beneficial effects: the pin connectivity of the peripheral circuit of the integrated chip is detected; the operation difficulty of hardware is reduced; observation becomes convenient; the test result is accurate; and the debugging progress is further improved.

The invention discloses a fundus image blood vessel segmentation method based on a coupled neural network and a line connector and belongs to the technical field of medical image and digital image processing. The method comprises the following steps that a simplified pulse coupling neural network model is proposed, and a basic structure of a blood vessel in an image is obtained by utilizing the similarity of adjacent neurons; a new denoising method is provided, most noise points are removed through pixel connectivity, and meanwhile complete blood vessel edges are reserved, a problem of blood vessel breakage in the segmentation process is solved through the line connector so that a complete blood vessel structure is presented, and blood vessel recognition accuracy is improved. A test is carried out on two public retina databases of DRIVE and STARE, and a result shows that compared with an existing method, the method is advantaged in that excellent scores are obtained on indexes such asaverage accuracy and sensitivity, and the good response time is achieved.

The invention discloses an obstacle detection method and device, an unmanned aerial vehicle and a storage medium. The method comprises the following steps: acquiring pose data and a disparity map of an unmanned aerial vehicle, wherein the pose data and the disparity map have a corresponding relationship; determining pixel connectivity in a first specified direction in the disparity map according to the pose data, and extracting strip-shaped disparity features from the disparity map according to the pixel connectivity; clustering the strip parallax features to obtain clustering information; anddetermining obstacle information according to the clustering information. According to the technical scheme, the pose data of the unmanned aerial vehicle is utilized when the obstacle is detected, obstacle information drifting caused by movement of the unmanned aerial vehicle can be avoided, the whole process is low in complexity, consumption of computing resources is low, the obstacle detectiontime is shortened while the obstacle detection precision is guaranteed, and the invention is particularly suitable for equipment such as the unmanned aerial vehicle which conducts obstacle detection depending on the lightweight computing resources.

A hybrid electro-optical data center system includes multiple tiers. A bottom tier has one or more bottom tier instances, with each bottom tier instance including one or more racks, an electro-optical switch corresponding to each rack, and a first bottom tier optical loop providing optical connectivity between the electro-optical switches of the respective bottom tier instance. At least one server within each rack is electrically connected to the respective electro-optical switch and at least one super-server within each rack is electrically and optically connected to the respective electro-optical switch. A top tier includes electro-optical switches, each electrically connected to an electro-optical switch in a respective bottom tier instance, a first top tier optical loop providing optical connectivity between the electro-optical switches of the top tier, and one or more optical add / drop modules providing optical connectivity between the first bottom tier optical loop and the first top tier optical loop.

The invention is directed to the interference image pre-processing, and provides an automated processing method for single interference round fringe pre-processing through an improved denoising method, a binarization algorithm, and a refining and patching algorithm. The invention introduces a diffusion coefficient to a P-M model to modify a median filtering window, and then combining the above two by means of weighting to form the denoising method which can protect image edges and details. The refining and patching algorithm adopted in the invention can not only remove the glitch, but also remove excess second pixels while ensuring the image connectivity, so that the image can be refined into a single pixel image. The invention has a great significance for feature information extraction of the single interference round fringe, and can provide a reliable analysis method for application of optical measurement technology based on single interference round fringe analysis.

The invention provides a dense reservoir pore movable fluid invasion profile imaging method based on array induction well-logging resistivity data. The dense reservoir pore movable fluid invasion profile imaging method comprises the following steps that (1), data are corrected; (2), interpolation is re-sampled; and (3), color carving is conducted, specifically, color carving is conducted on S'(x',y'), resistivity values are subjected to color carving from dark to bright according to the sequence from small to large, a movable fluid invasion profile imaging graph is formed. According to the dense reservoir pore movable fluid invasion profile imaging method, the defects that as for imaging well-logging and rock core experiment methods and nuclear magnetic resonance T2 spectra, the investigation depth is low, the acquisition rate is low, and representativeness is poor are solved, and pore connectivity and movable fluid distribution characteristics within the range of the radial 120 in depth of a dense reservoir can be displayed visually.