40results about How to "Reduce data flow" patented technology

A general purpose network tone detection method and apparatus that allows the precise and accurate recognition of North American tones (MF, DTMF (Dual-Tone Multifrequency), and CPT (Call Progress Tones)) and international MF-R2 tones as well as taking into consideration other common tones such as Calling Card Service Prompt and Recall Dial. Through the use of the Discrete Fourier Transform (DFT) on small time windows and by providing phase continuity between these windows, the results of the successive DFTs may be combined and processed by a second DFT computation. This second DFT allows higher frequency resolution without requiring the re-computation of the DFT from the time samples. The resulting effect is a tone receiver with both high time and frequency resolution which consequently leads to robust and accurate tone recognition systems conforming even to the most stringent specification while maintaining low computational requirements.

A storage server for efficiently retrieving data from a plurality of disks in response to user access requests. The server comprises a plurality of processors coupled to disjoint subsets of disks, and a custom non-blocking packet switch for routing data from the processors to users. By tightly coupling the processors to disks and employing an application-specific switch, congestion and disk scheduling bottlenecks are minimized. By making efficient use of bandwidth, the architecture is also capable of receiving real-time data streams from a remote source and distributing these data streams to requesting users. The architecture is particularly well suited to video-on-demand systems in which a video server stores a library of movies and users submit requests to view particular movies.

A section-specific video data stream is derived by reducing a video data stream pertaining an entire scene with conservation of conformance by use of a file format and incorporating slices into which tiles of a set of tiles are encoded which forms the section, are incorporated into a set of one or more source tracks and a set of one or more gathering tracks including construction instructions is used in order to indicate a synthesis of the section-specific video data stream by signaling replacements of certain portions of the slices and instructing to copy certain portions of the slices. Further, there is described a concept pertaining an indication of a position of a region of interest.

The invention provides a network video monitoring system based on a cloud platform. The system comprises monitoring equipment, the cloud platform and a client, wherein the monitoring equipment and the client are connected through the Internet by using the cloud platform as a center; the monitoring equipment is composed of a camera, a network interface card, an encoding module and a logic control unit; the cloud platform comprises a user authentication module, an equipment control module, a data processing module, a data storage module and an alternating layer; the client can be a browser terminal, a desktop terminal or a mobile terminal. The system has the advantages of low cost in hardware composition, simple framework and wide application range, access of various terminals can be supported, after video information is encoded and compressed, data flows are greatly reduced, thereby reducing the requirements on bandwidth, various clients including the desktop application terminal, the mobile application terminal and the browser terminal are supported by an interactive interface provided by the cloud platform, and the requirements of different users are satisfied.

An InfiniBand™ network node includes a network interface, a system memory, a memory controller configured for controlling access to the system memory, and a processor. The network interface is configured for outputting data packets according to a prescribed flow control protocol that specifies flow control resources. The network interface also is configured for outputting a data flow interruption request to the memory controller based on a determined depletion of the flow control resources. The memory controller, in response to reception of the data flow interruption request, restricts access to the system memory. Hence, the processor, in response to detecting the restricted access to the system memory, reduces execution of a prescribed application resource based on the determined depletion of the flow control resources. Hence, the supply of data for the data packets is reduced based on the reduced execution of the prescribed application resource, enabling flow control protocols to be maintained while preserving processor and memory resources for other application resources.

The invention discloses a configurable NAT for accomplishing end-to-end communication and its operation method comprising: network connection relation control matrix records connection relation of networks accessed by interface module; address switching mapping recording list records connection state of the interface module; interface module attribute list records network type connected with interface module and inner net address and outer net address used when the network converts address; interface module receives data from network or other interface module according to recording information and the status mark of matching relation, and completes address conversion and relay the data to other interface module or network accessed by present interface module. In the invention, data can reach any on communication node in three hops after one-time network address conversion, time for converting network address multi-time is saved, data stream is limited in configurable NAT equipment, data stream in network is reduced.

The invention discloses a single-channel CMOS (Complementary Metal Oxide Semiconductor) image sensor, which comprises a pixel array formed by a plurality of pixel units and a data processing unit. The data processing unit comprises an analog-digital conversion module, an image processing module and a control module. The control module can recognize a region where two continuous frames of images have great changes and control the analog-digital conversion module to carry out analog-digital conversion on the image change region at the subsequent frame, so that the pressure from various aspects, such as on-chip analog digital signal conversion, on-chip image processing and high-speed data interface, can be greatly reduced.

The invention discloses a method and system for realizing data compression of a transformer substation three-dimensional model. The method comprises: traversing sub component model data in a transformer substation three-dimensional equipment model; carrying out grouping matching on sub components in the transformer substation equipment model by using a model feature matching method and obtaining a reference model from each kind of sub component model set; on the basis of the reference model, calculating spatial transformation parameters of the involved kind of all component models relative to the reference model; according to the calculated spatial transformation parameters, carrying out indexing and recoding on the transformer substation equipment model to complete data compression of the three-dimensional scene of the transformer substation. According to the embodiment of the invention, united coding is carried out based on the reference models, thereby substantially reducing the data flow of the three-dimensional scene of the transformer substation and realizing data compression of the three-dimensional scene of the transformer substation. Therefore, the transmission efficiency of the three-dimensional scene of the transformer substation is improved.

The invention provides an RFID (Radio Frequency Identification) machine room monitoring device. The device comprises passive e-tags arranged on equipment required to be monitored, RFID readers communicating with the passive e-tags, resource awareness controllers and main controllers, wherein the resource awareness controller is connected with the RFID reader and is also in network connection with the main controller; and the quantity of the passive e-tags is the same as that of the equipment required to be monitored, the quantity of the RFID readers is determined by the area coverage of the passive e-tags, and the quantities of both the resource awareness controllers and the main controllers are determined by data amount. The invention also provides an RFID-based machine room monitoring system and method, the resource awareness controllers are used for processing acquired data and sending the processed data to the main controllers for unified comprehensive processing, so that lots of complex data processing tasks are divided, the data processing pressure of the main controllers is relieved, the network data stream is reduced and errors are avoided.

The invention discloses a deep neural network accelerator based on hybrid precision storage, and belongs to the technical field of calculation, reckoning and counting. The accelerator comprises an on-chip cache module, a control module, a bit-width-controllable multiply-add-batch calculation module, a nonlinear calculation module, a register array and a Huffman decoding module based on double lookup tables, effective bit and sign bit parameters of the weight are stored in the same memory, so that mixed-precision data storage and analysis are realized, and multiply-add operation of mixed-precision data and weight is realized. Through data storage analysis based on mixed precision and Huffman decoding based on a dual lookup table, compression and storage of data and weights under different precision are realized, data streams are reduced, and low-power-consumption data scheduling based on a deep neural network is realized.

The first data flow is buffered at a receiver, and the buffer contents are scanned for metadata. Where metadata are found indicating a second data flow which has not yet arrived, the system enters a stalling phase during which the length of any silent periods in the first data flow are stretched. As the point in the first data flow at which the second data flow is necessary gets closer, the factor by which silent periods are stretched increases exponentially. Once the expected second data flow in fact arrives, playback of two data flows is accelerated by compressing silent periods so as to clear the backlog of additional data that built up in the buffer during the stalling phase.

The invention discloses a method for realizing service callback based on a message queue and a search engine, belongs to the field of information technology service, and aims to solve the technical problem of how to ensure high performance of callback service realization and meet actual use of business requirements. According to the technical scheme, the method specifically comprises the following steps: a client initiates a service function request; the business background decides to request the server to initiate a callback service according to the business function request; the server initiates a callback service request, and request information enters a RabbitMq message queue; the request information is subjected to persistence and enters an Elasticsearch search engine; the Consumer executes a callback service according to the callback rule; and the server updates the data record according to the execution result of the callback service.

The present invention discloses an image compression system of a dynamic adaptation compression parameter. A pattern and history analysis device detects the content of decoded pixels of multiple histories or analyzes previous historical information, and thus a predictive value and a current history are generated. A predict-value difference device subtracts a current encoding pixel and the predictive value to generate a predict-value difference. A bit rate control device is adapted to a compression rate according to a final_bits and outputs a suggest_bits. A mapping device is connected to the pattern and history analysis device, the predict-value difference device, and the bit rate control device. According to the predict-value difference, the current historical information and the suggest_bit, an index is calculated and generated. The encoding device encodes the index to output a bit stream and the final_bits.

The invention provides a multi-precision DEM (Digital Elevation Model) data difference smooth fusion method and system. The method comprises the steps of collecting topographic data of a scene where a transformer substation and a cable tunnel are located through an unmanned aerial vehicle, and obtaining topographic image data of the scene where the transformer substation and the cable tunnel are located within a calibrated topographic range; generating a first DEM model and a second DEM model according to the topographic image data of the scene where the transformer substation and the cable tunnel are located; and fusing the first DEM model and the second DEM model by using a difference method to obtain a fused digital elevation model. The system comprises modules corresponding to the steps of the method.

The invention relates to an automatic identification and acquisition method and system for a hot metal car, an intelligent terminal and a storage medium. The method comprises the following steps: acquiring the car number information and the hot metal ladle information of the hot metal car through a first identification instrument group when the hot metal car passes through the first identification instrument group, and then acquiring empty ladle weight information and scrap steel weight information through a car scale; when the hot metal car passes through a second identification instrument group, acquiring the car number information of the hot metal car through the second identification instrument group; and when the hot metal car runs to a tap hole, acquiring the net weight information of molten iron after molten iron adding is completed, associating the car number information and the molten iron ladle information with the empty ladle weight information, the scrap steel weight information, furnace port number information and molten iron net weight information of the current hot metal car, and carrying out storing. According to the application, various information can be counted according to ladles, and the use frequency of the ladles can be counted to calculate the maintenance time of the ladles while the use amount of the molten iron is recorded.

The invention discloses a remote vehicle-mounted troubleshooting and repairing method and system. The remote vehicle-mounted troubleshooting and repairing method comprises the steps that whether a troubleshooting mode is entered or not is confirmed when a vehicle fault gives an alarm; after the vehicle enters the troubleshooting mode, the vehicle enters a set troubleshooting working condition whenbeing in a safe environment, and meanwhile, working condition data of a corresponding system on the vehicle is collected according to the current fault information; and after troubleshooting is completed, fault maintenance suggestions are remotely given in combination with the working condition data, and field fault maintenance is carried out according to the maintenance suggestions. The remote fault diagnosis method is more direct and efficient, a corresponding collection module is awaken according to fault code information, and data flow is greatly reduced; and a driver is prompted to entera specific fault reproduction working condition, problems can be rapidly searched, data volume is reduced, data redundancy and data loss risks are effectively avoided, and the purposes of quickly troubleshooting and analyzing faults are achieved.

The invention relates to the field of ultrasonic medical images, in particular to an ultrasonic elastic imaging system implemented through an FPGA and a working method of the ultrasonic elastic imaging system. The system comprises a front end ultrasonic digital signal obtaining module, a middle end ultrasonic elastic imaging real-time processing module and a rear end elastic image display module. The system has the advantages that nuclear elastic imaging signal processing is completed through the FPGA, elastic images are displayed in real time, front end ultrasonic data do not need to be transmitted to an upper computer, and therefore the system is simplified, and the cost performance of the product is improved.

The invention relates to the technical field of laser radar sensors and automatic driving, in particular to an end-to-end point cloud data compression method based on a three-dimensional laser radar sensor. The method combines an encoder with three-channel fusion neighborhood curvature and density characteristics and a robust decoder with additional trainable parameters. In combination with the feature information, the ConvLSTM can obtain more detail enhancement in the point cloud coding and decoding process. The structure of alternate decoding and up-sampling ensures the accurate recovery of the point cloud. In addition, the provided mixed loss function has higher convergence speed and better fitting performance. Experiments show that compared with a compression algorithm based on Draco, an octree and JPEG, the method can obtain a higher compression rate and satisfactory compression quality. In addition, the method provided by the invention has good generalization ability in different scenes.

The invention belongs to the technical field of virtual reality, and particularly relates to a movement capture glove of a virtual human hand reality system and a virtual reality system, which comprises an attachment layer, a wrist part, a palm part and a finger part, the attaching layer is a thin fiber glove woven by natural cotton fibers; the wrist part, the palm part and the finger parts whichare positioned on one side of the attaching layer are fixedly connected with one another; magnetic crutchers are fixedly connected to the sides, close to the adsorption layer, of the wrist part, the palm part and the finger parts; optical fiber sensors, displacement sensors and angle sensors are fixedly connected to the joint of the wrist part and the palm part and the joint of the palm part and the finger parts; the electric shock device, the embedded pneumatic actuator array and the elastic thermoelectric generation device are fixedly connected to the sides, close to the attaching layer, ofthe wrist part, the palm part and the finger part. According to the invention, the movement capture glove is modified, so that feelings of touch, temperature, pain, compression and the like are provided for an experiencer, and the true degree of the experiencer brought by a virtual system is enhanced.

The invention discloses a method of using multicast PIM protocol message to obtain device port information, including the steps: 1) as IP protocol module of a route device supporting PIM multicast protocol receives the PIM protocol message, it directly adds physical port information for receiving the message to the message and reports the message with the port information to a PIM protocol processing module for processing; 2) the PIM protocol processing module receives the message, and then takes the port information out of it; 3) the PIM protocol processing module uses the port information to build a corresponding relationship between port and neighbor; and 4) the PIM protocol realizes the transmission of multicast data according to the corresponding relationship. It is simple to implement, good in extensibility and compatibility, and unnecessary to modify the interface between original modules, thus making the software easy to implement on a platform and it reduces the coupling factor between different modules and then enhances the robustness and maintainability of the software.

The present invention discloses an image compression system of a dynamic adaptation compression parameter. A pattern and history analysis device detects the content of decoded pixels of multiple histories or analyzes previous historical information, and thus a predictive value and a current history are generated. A predict-value difference device subtracts a current encoding pixel and the predictive value to generate a predict-value difference. A bit rate control device is adapted to a compression rate according to a final_bits and outputs a suggest_bits. A mapping device is connected to the pattern and history analysis device, the predict-value difference device, and the bit rate control device. According to the predict-value difference, the current historical information and the suggest_bit, an index is calculated and generated. The encoding device encodes the index to output a bit stream and the final_bits.

The invention discloses a base station rate detection and restoration method. The method comprises the following steps: detecting an air interface rate between a base station and a mobile terminal; when it is judged that the air interface rate does not reach the first preset value, adjusting air interface link configuration parameters; detecting a backhaul rate between the base station and the gateway; and when it is judged that the backhaul rate does not reach a second predetermined value, adjusting backhaul link configuration parameters. According to the base station rate detection and restoration method, the air interface rate and the return rate can be respectively detected as required, and after the air interface rate detection result is obtained, the rate abnormality caused by partial interference can be automatically restored; after a return rate detection result is obtained, rate abnormity caused by a WAN port broadband mode configuration problem and an IP fragmentation problem can be automatically repaired.

The invention discloses a system, method and equipment for realizing business perception. The system for realizing business perception includes: a data extraction strategy library, used to provide data extraction strategies; a data packet feature extraction module, used to extract flow characteristic data; The flow model instance building module is used to establish a set of flow model instances according to the flow characteristic parameters output by the data packet characteristic extraction module; the identification strategy library is used to provide identification strategies for the integrated service perception module; the integrated service perception module is used to analyze the flow model instance perception. The method for realizing service awareness includes: extracting flow characteristic data; constructing a collection of flow model instances; sensing the flow model instances, and outputting recognition results. The device for realizing business awareness includes: a fast identification module for quickly identifying flow model instances; a machine learning module for further processing flow model instances that cannot be identified by the fast identification module, and outputting identification results.