807results about How to "Fast data processing" patented technology

A method of noncontact imaging for performing qualitative and quantitative analysis of wounds includes the step of performing structured illumination of surface and subsurface tissue by both diffuse optical tomography and rapid, wide-field quantitative mapping of tissue optical properties within a single measurement platform. Structured illumination of a skin flap is performed to monitor a burn wound, a diabetic ulcer, a decubitis ulcer, a peripheral vascular disease, a skin graft, and / or tissue response to photomodulation. Quantitative imaging of optical properties is performed of superficial (0-5 mm depth) tissues in vivo. The step of quantitative imaging of optical properties of superficial (0-5 mm depth) tissues in vivo comprises pixel-by-pixel demodulating and diffusion-model fitting or model-based analysis of spatial frequency data to extract the local absorption and reduced scattering optical coefficients.

A single-shot spectral imager or imaging system which acquires multiplexed spatial and spectral data in a single snapshot with high optical collection efficiency and with the speed limited only by the readout time of the detector circuitry. The imager uses dispersive optics together with spatial light modulators to encode a mathematical transform onto the acquired spatial-spectral data. A multitude of encoded images is recorded simultaneously on a focal plane array and subsequently decoded to produce a spectral / spatial hypercube.

An analytic apparatus and method is provided for diagnosis, prognosis and biomarker discovery using transcriptome data such as mRNA expression levels from microarrays, proteomic data, and metabolomic data. The invention provides for model-based analysis, especially using kernel-based models, and more particularly similarity-based models. Model-derived residuals advantageously provide a unique new tool for insights into disease mechanisms. Localization of models provides for improved model efficacy. The invention is capable of extracting useful information heretofore unavailable by other methods, relating to dynamics in cellular gene regulation, regulatory networks, biological pathways and metabolism.

An artificial neural network compression coding device comprises a memory interface unit, an instruction buffer memory, a controller unit and an operation unit, wherein the operation unit is used for performing corresponding operation on data from the memory interface unit according to the instruction of the controller unit. The operation unit mainly performs three steps of: 1, multiplexing an input neuron with weight data; 2, performing an addition tree operation for adding the weighted output neurons after the first step through an addition tree or obtaining a biased output neurons through adding the output neurons and a bias; and 3, executing a function activation operation, and obtaining a final output neuron. The invention further provides an artificial neural network compression coding method. The artificial neural network compression coding device and the artificial neural network compression coding method have advantages of effectively reducing size of an artificial neural network model, improving data processing speed of the artificial neural network, effectively reducing power consumption and improving resource utilization rate.

A method and apparatus for materials requirements planning that implements a client / server computer network with an algorithm which enables receiving and preserving input data from the client in a stateless protocol in the server, the input data from a client is preprocessed to determine the MPR state, and stored for each client in the server in a separate side container using stateless protocols. A side container containing a client's data is accessed by distinct SQL and VB code routines to perform specific reports, modification of a required materials order and / or adjustment of material availability for use dates. The preprocessing arranges the input data into record sets of all scheduled material requirements, all currently available and required materials and all unfulfilled ordered materials. The preprocessing is executed via SQL, and the processing is executed via executable code into a temporary record set that is placed into a storage container. The apparatus consists of a server side processor having a network connection and provided with software to supply network server functions, server side general purpose programming functions, and database functions using SQL code. A client side processor connected to the network and provided with software to enable login to the server side processor via the network, and to supply software functions including data access reports and / or modification in order to be able to control server access.

The invention discloses a method and a device for managing a heterogeneous hybrid memory. The heterogeneous hybrid memory comprises an NVM (Non-Volatile Memory) and a DRAM (Dynamic Random Access Memory). The method comprises the following steps: receiving a memory allocation request sent by a user process, and judging the user process; if the user process is a system-level process, allocating the memory space of the DRAM to the user space; if the user process is a batch processing process, allocating the memory space of the NVM to the user process. By virtue of the memory management mechanism, the system-level process is capable of performing data processing in the DRAM with relatively high access rate, the batch processing process is capable of performing data processing in the NVM, so that influence of the access speed difference between the DRAM and the NVM on the data processing speed is reduced, and the data processing speed of the user process and the overall processing performance of the system are enhanced.

The invention provides a human-machine interaction control system of an unmanned airship. The human-machine interaction control system of the unmanned airship comprises an interface layer, a processing layer and a user layer. The interface layer comprises a communication module and a video collection module; the processing layer comprises a down data analyzing module and an up data transmitting module; the user layer comprises a plurality of function modules including airship attitude display, flight path display, instrument panel, flight data storage, flight record query and trajectory playback, video display, storage and playback and command operation. Compared with traditional fight control human-machine interaction systems, the human-machine interaction control system of the unmanned airship has the advantages of being friendly in interface, easy to operate, mature in function, rapid in data processing speed, high in reliability and the like.

The invention provides a method and apparatus for controlling optical image stabilization, and an image acquisition device of a mobile device. The method includes the following steps that: a rotational angular velocity when the mobile device jitters is acquired; a corresponding first control command is generated according to the rotational angular velocity; translational acceleration when the mobile device jitters is acquired; a second control command is generated according to the translational acceleration; and the first control command and the second control command are transmitted to a driving device so as to command the driving device to drive an optical lens to move, so that first displacement compensation and second displacement compensation can be performed. According to the method for controlling optical image stabilization provided by the invention, 4-axis optical image stabilization (OIS) is adopted, and effective light compensation can be performed on rotation and translation jigger in horizontal-axis and vertical-axis directions quickly and accurately in the close shot photographing process of the mobile device.

The invention discloses a four-axis full-automatic high-speed dispensing robot servo-control system. The four-axis full-automatic high-speed dispensing robot servo-control system is characterized in that an FPGA (Field Programmable Gata Array) processor is introduced in a single-chip DSP (Digital Signal Processor) so as to form a DSP-FPGA based dual-core processor, the dual-core processor concentratedly designs the traditional multi-controllers system realized by a singlechip and fully considers the function of a battery in the system so as to realize that one controller synchronously controls four axes, and a four-axis servo system of heaviest workload in a four-axis full-automatic high-speed dispensing robot servo controller system is controlled by the FPGA processor, so that the characteristic of faster data processing speed of the FPGA processor is fully played; a human-computer interface module, a path read module, an on-line output module, a data memory module, an I (Input) / O(Output) control module and an image acquisition and processing unit are controlled by the DSP, so that the DSP and the FPGA processor divide the work, the DSP is free from heavy workload, therefore the capacity of resisting disturbance of a dispensing robot is greatly enhanced.

The invention discloses a thrombus elasticity testing device. The thrombus elasticity testing device comprises a supporting plate, a measuring unit, a driving unit and a cup holding unit, wherein the measuring unit and the driving unit are arranged on the supporting plate, and the cup holding unit is connected with the driving unit; the measuring unit comprises a base, a rotating part, a rotating shaft and a balance spring. According to the thrombus elasticity testing device, the driving unit is combined with the cup holding unit to carry out regular vibration on a blood sample in a measuring cup to simulate a physiological thrombus formation environment in vivo, thereby guaranteeing an accurate and reliable test result; by virtue of a structure consisting of the conical tip-shaped rotating shaft and the balance spring in the measuring unit, friction generated during vibration of the measuring unit is decreased sharply, and the shock resistance of the complete device is greatly improved on the premise of guaranteeing restoring force, so that the measurement reliability is high; by virtue of an optical lever measuring mechanism, the resolving ability and sensitivity of thrombus elasticity measurement are effectively increased, so that the measuring accuracy is remarkably improved; by virtue of a measuring cup loading-unloading mechanism, the operation is convenient and reliable.

The invention relates to a water environment monitoring system based on ZigBee wireless technology. The current monitoring usually uses a way of wired transmission, which results in difficult routing and high cost. The water environment monitoring system of the invention comprises a plurality of water environment monitoring nodes which are distributed in water environment monitoring regions and a data and video base station, wherein, the water environment monitoring node is based on the ZigBee wireless technology and comprises a node microprocessor module, a node ZigBee radio frequency module CC2420 radio frequency chip, a power management module and a water quality parameter collection module. The data and video base station uses the structure of ARM-DSP dual processors and comprises a base station ZigBee radio frequency module CC2420 radio frequency chip, CDMA transmission module HUAWEI-CM320, a video signal collection module and a microprocessor module. The water environment monitoring system of the invention can simultaneously collect a plurality of parameters of water quality, and has the advantages of strong data communication capacity and wide network coverage area. Moreover, the water environment monitoring system of the invention can realize real-time collection, processing and wireless transmission of video signals.

An apparatus and method for recognizing a current position of a vehicle are disclosed. The apparatus receive information about an initial position of a vehicle from an external input, and receive an image signal from an image sensor to take a picture of an identifiable object and extract image signal information corresponding to the identifiable object from the image signal, and connect to an internal network of the vehicle of the vehicle and receive information about a traveling state of the vehicle, and calculate the current position of the vehicle based on the information obtained.

This invention relates to one language interact device and method with imbed structure, wherein, the device comprises power, time clock generator, central processor, audio decoding chip, FLASH memory and static memory. This invention method comprises the following steps: loading language sound identification module, language database module and integration module to the static memory; A / d converting and coding; transferring sound identification module; transferring the sound database module; transferring sound integration module to get the answer digital sound signal; A / D converting and mixing; human sound signal outputting.

A method for automatic translation from a first language to a second language, according to the invention, comprising the steps of:a) acquiring an initial sentence or text to be translated;b) selecting one or more automatic translation techniques;c) generating a plurality of translations of the initial sentence or text from the first language to the second language by means of the selected translation technique or techniques;d) for each one of the translations into the second language, generating a back-translation from the second language to the first language;e) comparing said back-translations into the first language with the initial sentence or text in the first language and generating a corresponding index of deviation;f) selecting, among the translations into the second language, the translation that corresponds to the back-translation for which the index of deviation is lowest or nil.

The invention relates to a water environment monitoring node based on ZigBee wireless technique. The prior technology has long monitoring period and large work intensity, and cannot reflect dynamic variation of water environment. The invention includes an electric power management module, a water quality parameter acquisition module, an MPU module and a ZigBee radio frequency module. The equipment adopts an MSP430F149 MPU, for analyzing and processing water environmental parameter, and controls the operating status of the ZigBee radio frequency module and the water quality parameter acquisition module. The MSP430F149 processor is interconnected to the water quality parameter acquisition module through a 12 bit A / D converter self integrated with the MSP430F149 processor, and is interconnected to the ZigBee radio frequency module through an SPI serial interface, meanwhile also controls a power supply management module to supply power through an analogue switch, so as to achieve the goal of energy-saving. The invention has low cost, and low power consumption; can be arranged in water environment for a long term, execute multiple parameter real time monitoring to the water environment, and complete the high-efficiency transmission of data, thereby having wide applications prospect in the water environment monitoring.

The invention discloses a ground manipulation system for a coaxial dual-rotor unpiloted helicopter. The system comprises a portable manipulation mechanism, a man-simulation machine manipulating mechanism, a manipulation mode switch, a first sensor, a second sensor, a first transmission medium, a second transmission medium, a DGPS apparatus unit, a data collection processing unit, a manipulation feedback unit, a monitoring storage unit, a simulated training unit and remote-control transmission unit. The invention takes the unpiloted helicopter as the remote aim; a fly manipulation operator utilizes manual manipulation and mode switch to accomplish the input of a proportion instruction and a switch instruction in different manipulation modes; and then a back end unit is used for processing so as to form effective uplink information to be transmitted to a remote control transmission apparatus so as to realize the remote control of the unpiloted helicopter or the self-fly guidance of the unpiloted helicopter. The system can be applied to manipulating the unpiloted helicopter in different environments, and the mode switch is flexible; and the system can improve the effectiveness and correctness of the action of ground manipulation manual remote control and shorten the training time.

The invention discloses a pixel circuit, a pixel driving method, and a display device. The pixel circuit comprises a driving transistor, a capacitor, a data writing module, and a current control module. In a luminous phase process, under control of a second control signal input by a second control signal input line, the current control module is used to control a ratio between total time of a driving current flowing to the current control module and the total time of the driving current flowing to a luminous device, and then the visual brightness of the luminous device is controlled. By adopting a technical scheme provided by the invention, when data voltage input by a data line is not changed, the current control module is used to adjust the ratio between the total time of the driving current flowing to the current control module and the total time of the driving current flowing to the luminous device, and therefore the adjustment of the visual brightness of the luminous device is realized. A number of Gamma data in a driving chip is effectively reduced, and the data processing speed of the driving chip is accelerated.

The disclosure discloses a neural-network computing system. The system includes: an I / O interface, which is used for I / O of data; a memory, which is used for temporarily storing a multi-layer artificial-neural-network model and neuron data; an artificial-neural-network chip, which is used for executing multi-layer artificial-neural-network operation and a back-propagation training algorithm thereof, wherein data and a program from a central processing unit (CPU) are accepted, and the above-mentioned multi-layer artificial-neural-network operation and the back-propagation training algorithm thereof are executed; the central processing unit CPU, which is used for data transportation and starting / stopping control of the artificial-neural-network chip, is used as an interface of the artificial-neural-network chip and external control, and receives results after execution of the artificial-neural-network chip. The disclosure also discloses a method of applying the above-mentioned system forartificial-neural-network compression encoding. According to the system, a model size of an artificial neural network can be effectively reduced, data processing speed of the artificial neural network can be increased, power consumption can be effectively reduced, and a resource utilization rate can be increased.

The invention provides an RFID technology based concrete quality monitoring system and a working method thereof. The system comprises a production information monitoring unit, a supplier inputting unit, a constructor detecting unit and a central monitor control unit. The working method comprises the following steps: electronic tag initialization, production information monitoring and early warning, supplier information inputting, constructor detecting, etc. The invention can track and manage the whole process of concrete, including production, vehicle transport, unloading detection, construction site detection, maintenance and the like, and efficiently monitor the concrete quality.

A storage control apparatus capable of rapidly carrying out data processing according to requests from upper order apparatus, and capable of rapidly returning the results of processing to the upper order apparatus is provided. A computer system comprised of upper order apparatus and storage control apparatus is disclosed. The upper order apparatus accesses a virtual volume. A pool volume is allocated to the virtual volume. The pool volume is provided with a storage region of storage discs. The pool volume classifies data sent from the upper order apparatus for every type into text data, block data, and large sized data. The storage control apparatus then recognizes the types of data and stores the data on respective volumes.

The invention discloses a cloud medical data monitoring system with an efficient privacy protection function, and a cloud medical data monitoring method with the efficient privacy protection function. The monitoring system comprises a sensor user used for providing medical data information, a data user used for querying the medical data information, a cloud server used for receiving a query request of the data user and sending the medical data information of the sensor user to the data user, and an authentication center used for performing registration authentication on the sensor user, the data user and the cloud server, wherein the sensor user encrypts the medical data information through encoding and uploads the encrypted medical data information to the cloud server; the cloud server directly performs query and vital sign situation analysis on a ciphertext without decrypting data; and the data user decrypts the ciphertext through a secret key and reads a query result. The monitoring method comprises five stages of system establishment, user registration, data acquisition, query request generation and query result returning. According to the system and the method, a ciphertext data query function is realized through encoding, and reliability and high efficiency are achieved.

An embedded gateway for WiFi and ZigBee wireless network protocol conversion belongs to the wireless communication network technology field, the embedded gateway comprises a microprocessor, a system bus and a peripheral circuit which is connected with the microprocessor, and the peripheral circuit comprises a Flash memory, a SDRAM memory, an asynchronous serial communication port, an Ethernet interface, a JTAG interface, a USB interface, a USB wireless network card, a GPIO interface and a ZigBee wireless transceiving module. The embedded gateway has the advantages of low cost and small size, and the embedded gateway is applicable to mass production and fixed-point layout in project development; the data processing speed is fast; the reliability is high, the functions are powerful; the power consumption is lower and the embedded gateway can be used for a long time under special circumstances. The embedded gateway can realize the protocol conversion and data forwarding between the wireless ZigBee network and the wireless WiFi network, thereby realizing the interoperability between the two wireless networks.

A portable computer system and method include an auxiliary system including a first wireless sending / receiving part; and a main system including a data storing part storing data, a second wireless sending / receiving part, a mounting part mounting the auxiliary system thereto, and a mounting sensing part sensing whether the auxiliary system is mounted on the mounting part, where when displaying the data of the main system on a display part, the main system transmits the data stored in the data storing part to the auxiliary system to process and to display the data on the display part, and when not displaying the data on the display part, the main system supplies a signal to the switching part to cut-off electric power to the auxiliary system through the mounting part or the first wireless sending / receiving part.

The invention discloses an automatic control system of an unmanned aerial vehicle (UAV). The automatic control system comprises a processor unit, a controller, a first motor, a second motor, a third motor, a fourth motor, a signal processor and an unmanned aerial vehicle, wherein the processor unit transmits control signals to the controller; the controller divides the control signals into a first driving signal, a second driving signal, a third driving signal and a fourth driving signal; and the first driving signal, the second driving signal, the third driving signal and the fourth driving signal are used for controlling the first motor, the second motor, the third motor and the fourth motor respectively, and the first driving signal, the second driving signal, the third driving signal and the fourth driving signal which pass through the first motor, the second motor, the third motor and the fourth motor are compounded by the signal processor to control the movement of the unmanned aerial vehicle. The automatic control system of the UAV breaks through the limitation of high-voltage line patrol of 'giving priority to helicopter patrol and giving supplement to manual patrol' in the prior art.

The invention discloses an automobile fatigue-driving real-time alert system which comprises a driver physiological reflection characteristic detection unit, a driver operation behavior detection unit, a processor module, a data memory module and a power module. The data storage module and the power module are connected with the processor module. The driver physiological reflection characteristic detection unit comprises a brainwave detector, an infrared camera, a pupil gauge and a position sensor. The driver operation behavior detection unit comprises an angle sensor and a travel sensor. The input end of the processor module is connected with a clock module, a video signal data acquisition circuit module and a signal conditioning circuit module, and the output end of the processor module is connected with an LCD (liquid crystal display) module, a voice prompt module and an alert light. The automobile fatigue-driving real-time alert system is simple in structure, reasonable in design, rapid and convenient to use and operate, high in working reliability, good in stability, complete in function, capable of alerting a driver and other automobiles running on road, highly practical, good in use effect and convenient to promote and use.

The invention relates to the residual soil comprehensive supervision technology, provides an engineering residual soil intelligent comprehensive supervision system based on the RFID (radio frequency identification) technology and a working method of the system, wherein the system is composed of three parts, namely a supervision and management unit, a residual soil site unit and a residual soil stacking field unit. The engineering residual soil intelligent comprehensive supervision system based on the RFID technology and the working method of the system have the advantages that the residual soil site, residual soil transportation and residual soil stacking and the like can be tracked and managed intelligently in a whole course, the actual dynamic of residual soil treatment can be grasped, the system and the method are energy-saving and environmentally friendly, and the residual soil management efficiency is improved.

The invention discloses a novel quick-exploration automatic control system for a microcomputer rat, which comprises an upper computer system and a motion control system both controlled by a processor unit, wherein the processor unit is a dual-core processor and comprises a singlechip and an LM 629 chip; the upper computer system comprises a moze memory module, a coordinate positioning module and an on-line output module; the motion control system comprises a servo control module, a data storage module and an I / O control module; the moze memory module, the coordinate positioning module, the on-line output module and the I / O control module are controlled by the singlechip; the servo control module is controlled by the LM 629 chip; and the singlechip and the LM 629 chip are in real-time data exchange and invocation. According to the invention, with the dual-core processor based on the singlechip and the LM 629 chip, the singlechip is released from heavy workload, and the anti-interference ability is greatly increased.

The invention discloses a bridge crack detection device and detection method. The automatic bridge crack detection device comprises a control device, an installation car, a telescopic rod mechanism and a detection device, wherein the control device comprises a data processing device, a display, a walking controller, a camera shutter frequency detection unit, a telescopic rod adjusting device, a telescopic rod adjusting controller, a first distance detection unit, a second distance detection unit, an illuminating brightness detection unit, a brightness adjusting module and an illuminating brightness controller. The detection method comprises the steps of (1) preparatory work before detection; (2) shooting and uploading of an image; (3) image capturing; (4) bridge crack image processing; (5) calibration object image calibration; and (6) calculating and synchronous outputting of bridge crack parameters. The bridge crack detection device is simple in structure, reasonable in design, and convenient to use and operate, accurate and quick detection of the size of bridge cracks can be achieved, and the work efficiency of bridge crack detection and the reliability of detection data are improved.

The invention discloses a system and a method for determining the environment traffic capacity of an expressway based on vehicle emission. The system comprises a data acquisition system, a processor, a display and a server, wherein the processor is used for analyzing and processing data which are acquired by the data acquisition system; the display and the server are connected with the processor; the processor is in wireless connection and communication with the data acquisition system through a wireless communication system; and the data acquisition system consists of meteorological parameter detection equipment, traffic flow detection equipment and pollutant concentration detection equipment. The method comprises the following steps of: 1, acquisition and real-time uploading of the data; 2, determination of the environment traffic capacity of the expressway: determination of the cumulated amount of various vehicle emission pollutants, determination of a dilution factor f, and determination of the environment traffic capacity of a road section j of the expressway; and 3, synchronous output and storage of a processing result. The invention has the advantages of novel and reasonable design, convenience for implementation, high real-time performance, high determination accuracy of the environment traffic capacity of the expressway, high reliability, high practicability and high popularization and application value.

The invention discloses an ultrasonic gait detection device and method. The method is characterized by comprising the following steps: installing an ultrasonic detection system in front of a walking aid robot platform, respectively detecting the distance between the left and right legs of the testee and the ultrasonic detection platform by multiple ultrasonic sensors, extracting gait information in the walking process of the human body, and analyzing and calculating gait parameters, including average step length, average pace, step frequency, instantaneous speed and the like. The device comprises an ultrasonic transceiver, a data acquisition and transmission device, a gait data processing unit and a gait characteristic parameter calculation and analysis unit. The detection device is installed on the walking aid robot platform, and no device is installed on the testee body, so that the ultrasonic gait detection device can detect the gait of the testee without any restriction, thereby reducing the mental load of the testee in the gait detection process; the extracted gait characteristic parameters are more accurate; and the detection system has the advantages of simple structure and low cost, and is convenient to use and install.