39results 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 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 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 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 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.