209results about How to "Implement parallel processing" patented technology

The invention discloses a wearable intelligent hand ring and method for continuously monitoring human body physiological signs. The intelligent hand ring comprises a hand ring body; a monitoring circuit is embedded in the hand ring body; the monitoring circuit comprises a main control unit and multiple monitoring units; each monitoring unit monitors the various human body physiological signs which are processed by a main control unit. The wearable intelligent hand ring and method for the continuously monitoring the human body physiological signs have the following beneficial effects of integrating multiple sensing circuits, being capable of collecting multiple human body physiological signs and realizing the parallel processing on various collected data; the collected human body physiological signs are analyzed by adopting a unique data analysis method, so the human body healthy condition can be comprehensively accurately obtained; a user can regularly start the monitoring function by triggering of one hand or controlling of the main control unit, and the need that the human body physiological signs of the user are monitored anytime anyplace for 24 hours is met; the intelligent hand ring is provided with a wireless communication unit, and data synchronization can be performed between the intelligent hand ring and a mobile terminal, so the user can learn the physiological signs and the healthy condition in real time.

The invention provides a video special effects rendering method, device and terminal. The video special effects rendering method comprises the following steps: decoding a obtained video source in response to a user instruction to obtain a first video frame data in a particular format; sending the first video frame data and the preset special effects parameters to the GPU, so that the GPU completes the rendering of the first video frame data; and obtaining a second video frame data from the GPU and encoding to obtain a target special effects video, wherein the second video frame data is obtained by rendering the first video frame data by the GPU. According to the video special effects rendering method, the processing ability of the GPU for graphics is effectively utilized, the parallel computing capabilities of the GPU is utilized to speed up the rendering of video effects, and the duration of video rendering is shortened, so that the preview of the video rendering frames is high, the playback of the frames is smooth, and the occupancy rate of the CPU when rendering is reduced, therefore, the heating temperature of the mobile terminal is reduced.

The invention provides a flow-based abnormal communication behavior detection method and system, and belongs to the field of passive discovery of network security abnormal events. The detection systemcomprises: a configuration management module used for configuring a white list IP, a key target IP and a general target IP, a data acquisition module and a storage module used for acquiring and storing network flow data information, a key target abnormity detection module and a general target abnormity detection module used for detecting key targets and general targets respectively, and an abnormity evaluation module. According to the detection method provided by the invention, different methods are adopted to construct flow models for important network nodes and common network nodes, networkanomaly detection is carried out respectively, network events of important targets and common targets are associated, and network intrusion behaviors and abnormal communication behaviors with certainhazards are mined. The method has good discovery capability for various types of traffic abnormal behaviors, and is low in computation complexity for flow data, and is high in abnormity discovery real-time performance.

The invention relates to a loop filter method used in image code process. Wherein, it comprises: first, calculating the number of similar points in the margin of filtered code block, and according to said number and if there is frame internal block, to decide the block effective value of said code block; then according o the pixel difference between two sides of block margin, judging if the block margin is the real edge of picture; at last, processing filter treatment on the code block according to the block effective value, when it is false edge. The invention improves the flat area filtration, to obtain better effect on the block removal effect of flat area.

The invention discloses a method and a device for controlling a block processing task, belonging to the technical field of block chain, in the method and device provided by the present invention, theblock processing task is divided into successive multi-level processing subtasks, and at least one corresponding-level execution module is configured for each level processing subtask, and each levelexecution module continues to execute the level processing subtask on the next level processing subtask after executing the level processing subtask on the current level processing subtask on the block to be processed. As such, on one hand, the process subtasks at each level can be sequentially performed by the execution modules at each level; On the other hand, each level execution module continues to execute the next level processing sub-task of the block to be processed after executing the current level processing sub-task of the block to be processed, thus realizing the block processing tasks of processing multiple blocks to be processed in parallel, and further accelerating the processing speed of the block processing tasks between blocks.

The invention provides a task scheduling device, a task scheduling method and a data parallel processing device. The task scheduling device comprises a statistic module, a scheduling module and a distribution module, wherein the statistic module is used for determining idle processing units from a plurality of processing units and carrying out statistics on the number of the idle processing units; the scheduling module is used for sequentially taking out task information with corresponding number by starting from the head of a task queue according to the number of the idle processing units; the distribution module is used for respectively distributing the task information which is taken out into the idle processing units so as to enable the task information which is taken out to be processed by the idle processing units. After the task scheduling device, the task scheduling method and the data parallel processing device are used, the data processing speed of the device can be continuously improved.

An embodiment of the invention provides a block chain data parallel processing method and device, equipment and a storage medium. The method comprises the following steps: determining a next logical processing request to be processed from a task queue of current logical processing requests to be processed; identifying a dependency relationship between the next logical processing request to be processed and the current logical processing request being processed; if there is no dependency relationship, starting parallel processing of the next logical processing request to be processed and the current logical processing request being processed; and if there is a dependency relationship, starting the processing of the next logical processing request to be processed after the dependency relationship is eliminated. The embodiment of the invention realizes the parallel processing of part of the logic processing requests while taking into account the dependency relationship of the logic processing requests, and improves the processing efficiency.

The invention provides a portable water quality monitor, which comprises an upper computer and a lower computer, wherein the upper computer and the lower computer are connected through a communication middleware or a wireless communication part, and the upper computer comprises an upper computer human-computer interface part; the lower computer comprises a singlechip, a data acquisition part, an expanded SDRAM (synchronous dynamic random access memory) part and a lower computer human-computer interface part, the data acquisition part is provided with an SDI (standard data interface)-12 sensor connected with the singlechip through a flexible SDI-12 interface bus, and the SDI-12 interface bus is connected with at least one SDI-12 sensor through a successive type interface; the wireless communication part comprises a GPRS (General Packet Radio Service) wireless module; and a power source part comprises a selfcontained power source, a solar energy power source and a power source management module used for switching the power source into the selfcontained power source when voltage provided by the solar energy power source is not sufficient to maintain the work of the water quality monitor. In the invention, the number of sensors accessed into the portable water quality monitor is not limited, the data transmission is simple, and the data storage capacity is large.

The invention discloses an audio treatment method and an audio treating device. In one embodiment of the invention, when audio data is received, an audio treating passage is selected fro the audio data based on the type of the audio data; the audio processing passage comprises preset number of audio processing units; the preset number of audio processing units of the audio treating passage carry out resampling treatment and gain adjustment treatment for implementing audio treatment, because of a plurality of audio processing passages are provided, parallel treatment to a plurality of audio data is implemented, audio treating efficiency is raised, and simultaneously a plurality of audio treating passages are interdependent, thereby enhancing anti-fault capability of the system, further more, audio effect after treating is good because of the a plurality of treating passages treats audio data of distinct types distinctively.

The invention discloses a method for realizing decoding, a software decoder and a decoding device. When used for decoding an encoded image, the software decoder of the embodiment of the invention adopts virtual frame storage to imitate DPB operation of a hardware decoder after decoding the encoded image of a frame to ensure that the encoded image of the next frame can be decoded without waiting the finish of the decoding of the hardware decoder so as to avoid the situations that the software decoder and the hardware decoder wait for each other because the DPB operation is performed only after the finish of the decoding of the hardware decoder in the prior art. The method, the software decoder and the decoding device can well realize parallel processing of the software decoder and the hardware decoder, and improve the decoding efficiency.

The invention discloses a method and a device for tracking image target based on parallel particle filtering. The method comprises the following steps: (1) acquiring an image sequence and defining F as the NO. F frame of the image sequence; (2) acquiring a to-be-tracked target; (3) distributing particle points and ensuring that F is equal to 2; (4) inputting the NO. F frame; (5) carrying out brightness filtering till obtaining a column diagram; (6) comparing the particle points with the target column diagram to acquire normalized weight; (7) acquiring the coordinates of the target in the NO. F frame; (8) outputting the NO. F frame and updating the target column diagram; (9) resampling the NO. F frame; (10) judging whether to continue tracking and entering step (11) if continuing tracking, otherwise, stopping tracking; and (11) ensuring that F is equal to F plus 1 and returning to the step (4) to repeat the step (4) to the step (10). The method and the device break the logical dependence of sampling, weight calculation and resampling in the prior particle filtering algorithm, and realize algorithm parallel processing and execution acceleration by utilizing the normalized weight of the previous frame as a resampling function.

The invention discloses a numerical control system and control method based on dual-core architecture teamwork, which are characterized in that a first logic unit is connected with a second logic unit, and a conjunction gate is connected between the first logic unit and the second logic unit; the first logic unit sets control signals as high-level read-in processing codes, carries out interpretation on the codes, then manages data (interpreted by created forward-looking queue read codes) by using nodes, and after carrying out speed optimization, speed real-time control and speed interpolationon the data, outputting the motion data of each motor shaft in an interpolation cycle; the second logic unit outputs first feedback signals when the motion data of each motor shaft in a cycle is required; the first feedback signals and the control signals of the first logic unit pass through the conjunction gate, then synchronous control signals are outputted; after receiving the synchronous control signals, the first logic unit transmits the motion data of each motor shaft in a cycle to the second logic unit; and after receiving the motion data and carrying out computing on the motion data, the second logic unit outputs pulse signals for controlling motors.

The invention discloses a processing method and a device for parallelizing high-speed serial signals in a SerDes. The processing method comprises the steps of 1 using an eight-phase clock subjected to frequency division at input signal frequency as a sampling clock, controlling high-speed serial signal sampling and performing phase adjustment and locking to obtain eight-way sampling data; 2 using a two-phase clock as a shifting clock, performing serial shifting on the eight-way sampling data under the control of the shifting clock and serially outputting all of data; 3 performing frequency division on the two-phase clock to obtain a low-speed assembly clock, controlling eight-way serial data sampling, parallelly outputting all of data, performing phase adjustment and then synchronously outputting the data. The device comprises a high-speed sampling module, a high-speed serial shifting module and a low-speed assembly module for the method. The device has the advantages of being simple in achieving method, capable of achieving high-speed sampling of the high-speed serial signals and parallelization processing after sampling and high in execution efficiency.

The invention relates to a wave-equation reverse-time migration imaging method for a mass-data graphic processing unit. The method includes a data distribution module which distributes single-shot data to different graphic-processing-unit nodes; a reverse-time migration module which performs calculation imaging on the single-shot data and outputs an imaging file; a real-time data combination module which scans the imaging file in a real-time manner and performs statistics and classification and calculates the number and size of information files needed by a user and notifies the user how much time is needed to complete the data combination in a percentage form. Through the method, parallel calculation through the graphic processing unit is realized through calculation of dense wave-field spread, border conditions and imaging.

The invention is suitable for the technical field of Internet, and provides a service request response method and a service request response system. The method comprises the following steps: transmitting a service request to processing control middleware; identifying a service type corresponding to the service request, and configuring task information about the service request for each service type; querying a service processing node associated with the service type, and sending the task information; and generating a service response result of the service request according to the task result fed back by the service processing node, and sending the service response result. The task information is sent to the corresponding service processing node for processing according to the service type,so that the independence of the processing logic of different types of service requests can be ensured, and the parallel processing of multiple types of tasks can be realized.