65 results about "Computer data analysis" patented technology

The patterns of contraction and relaxation of the heart before and during left ventricular or biventricular pacing are analyzed and displayed in real time mode to assist physicians to screen patients for cardiac resynchronization therapy, to set the optimal A-V or right ventricle to left ventricle interval delay, and to select the site(s) of pacing that result in optimal cardiac performance. The system includes an accelerometer sensor; a programmable pace maker, a computer data analysis module, and may also include a 2D and 3D visual graphic display of analytic results, i.e. a Ventricular Contraction Map. A feedback network provides direction for optimal pacing leads placement. The method includes selecting a location to place the leads of a cardiac pacing device, collecting seismocardiographic (SCG) data corresponding to heart motion during paced beats of a patient's heart, determining hemodynamic and electrophysiological parameters based on the SCG data, repeating the preceding steps for another lead placement location, and selecting a lead placement location that provides the best cardiac performance by comparing the calculated hemodynamic and electrophysiological parameters for each different lead placement location.

A system and method of computer data analysis using neural networks. In one embodiment of the invention, the system and method includes generating a data representation using a data set, the data set including a plurality of attributes, wherein generating the data representation includes: modifying the data set using a training algorithm, wherein the training algorithm includes growing the data set; and performing convergence testing, wherein convergence testing checks for convergence of the training algorithm, and wherein the modifying of the data set is repeated until convergence of the training algorithm occurs; and displaying one or more subsets of the data set using the data representation. In one embodiment, the data representation is a knowledge filter that includes a representation of an input data set. The representation may be constructed during a training process. In one exemplary embodiment, the training process uses unsupervised neural networks to create the data representation. In general terms, the data representation may include a number of coupled, or connected, hexagons called nodes. Considering relevant attributes, two nodes that are closer together may be more similar than two nodes that are further apart.

The invention provides a system and method for rapidly detecting seepage of a geomembrane in a refuse landfill. The system comprises a mobile testing car, wherein the mobile testing car is matched with a testing probe, a signal processing circuit, a data acquiring system, a GPS (Global Position System) positioning device and a computer data analysis and model establishing system; and the testing probe is connected with the anode of a high-voltage (1000V) signal source through a lead, and the cathode of a high-voltage (1000V) direct signal source is connected with a high-voltage electrode. When a device for rapidly detecting seepage of the geomembrane in the refuse landfill is used for detection, large-scale soil aeration on the refuse landfill is not needed, and paving of a plurality of detecting electrodes is also not needed; and when seepage detection is carried out by using a high-voltage direct-current method, a seepage point can be rapidly searched through orienting and positioning by using a voltage field multi-dimensional vector analysis method which is different from the traditional plane voltage field analysis method. By using the GPS navigation of a vehicle-mounted detecting system, the detection process is accelerated, the detecting efficiency is increased, and the labor intensity is reduced.

The invention provides a curve display and inquiry method for large data quantity, belonging to the field of computer data analysis. The method comprises the following steps: firstly, acquiring a user inquiry condition, and judging whether the total data number is more than that of drawing points; if yes, dividing time intervals into n numbered segments with equal data quantity, and calculating the number of the points to be obtained in the time intervals; drawing a curve according to the maximum value and minimum value of the time intervals and the number of the points to be obtained in the time intervals; specifically starting a thread for each time interval for processing curve inquiry and view update in the time intervals; after processing n numbered threads completely, completing curve drawing; and if a user needs to select a certain interval for checking detailed data from the drawn curve, repeating the processes. In the method, by adopting a multi-thread mechanism, part of the data can be obtained for drawing within quicker time, thus preventing all the data from being drawn and greatly saving system memory.

The invention discloses a high-sensitivity alpha energy spectrum measuring method of radon concentration in air by using a radon and daughter collecting device, an alpha ray semi-conductive detector, a temperature and humidity measuring module, a circuit system, a man-computer interface and a computer data analysis system. The sensitivity surface of the alpha ray semi-conductive detector is arranged in a cavity of the radon and daughter collecting device, and the alpha ray semi-conductive detector, the temperature and humidity measuring module and the man-computer interface are connected with the circuit system which is connected with the computer data analysis system through a USB (Universal Serial Bus) interface. The method collects radon in the air by adopting a static diffusion mode, absorbs radon charged daughters by adopting a high-pressure electrostatic mode, distinguishes radon-thorium daughters by utilizing the alpha ray semi-conductive detector to measure air radon concentration through alpha energy spectrum measurement and correct influence on the measurement of radon concentration by adopting a temperature-humidity synchronous measuring mode. The method is suitable for the fields of monitoring radon level and controlling pollution in the indoor radiation environment of civil constructional engineering, monitoring radon concentration in mines and tunnels, and the like.

The invention discloses a dual-phase stainless steel crystalline grain structure display method which comprises four working procedures of mechanical polishing, electrolytic polishing, scanning crystal orientation measurement with an electron back-scattering diffraction (EBSD) instrument and crystalline grain structure display. The method comprises the following steps of: processing a test piece; performing mechanical polishing and electrolytic polishing on the test piece; then performing surface scanning crystal orientation measurement on a selected region on the test sample; performing phase discrimination on ferrite phase and austenite phase; and finally performing computer data analysis on crystal orientation data acquired by EBSD, and displaying different orientations with different colors. According to the method, ferrite and austenite dual-phase crystalline grains can be clearly displayed.

The invention discloses an FPGA (Field Programmable Gate Array) configuration information turnover testing platform based on dynamic reconfiguration and a testing method. The FPGA configuration information turnover testing platform comprises an upper computer control module, a TCP / IP (Transmission Control Protocol / Internet Protocol) communication module, a configuration read-write module, a to-be-tested module, a data collection module and an upper computer data analysis module, wherein the upper computer control module is used for generating a parameter required by testing, and transferring the parameter to the configuration read-write module through the TCP / IP communication module; the configuration read-write module is used for realizing the read-write and real-time turnover of configuration information through an interior collocation access port (ICAP); the to-be-tested module is provided by a user as required; the data collection module is used for generating an excitation signal required by the to-be-tested module, and sending an output result of the to-be-tested module, which is obtained after the configuration information is overturned, to the upper computer data analysis module; the upper computer data analysis module is used for counting and analyzing a tested result, and judging whether the function of the to-be-tested module can be realized correctly. The FPGA configuration information turnover testing platform has the advantages of low FPGA resource consumption, flexible to-be-tested system and high interface processing speed, and can be used for a reliability test of a satellite-borne FPGA system.

The invention relates to a regional traffic demand prediction method based on a convolutional long-term and short-term memory network, and belongs to the field of computer data analysis. The inventionprovides a framework integrating multiple tasks. For a traffic flow prediction problem, a multi-task learning layer is added. Through underlying parameter sharing, multiple prediction targets are completed at the same time, and the generalization ability is improved. According to a traditional traffic demand prediction method, only a single prediction task is processed, and the characteristic that multiple related tasks can be parallel is not considered. The idea of multi-task learning is introduced, and multiple tasks are integrated on the topmost layer of the model and trained at the same time, and the situation that each task is trained separately is replaced. By adding the multi-task layer, the shared weight in the network can be fully utilized, and a better prediction result is provided.

The invention relates to a method and device of an implanted telemetering stimulating system based on wireless power transmission and two-way communication. In the system of the invention, the wireless power transmission and two-way communication implanted telemetering system is used to perform telemetering to the physiological parameters such as blood pressure, electrocardio, temperature and mobility safely and stably for long-term in natural physiological status, an external program is used to control the internal system and perform electrostimulation to and control heart, nervus and muscle in vivo; a wireless power transmission system is used to perform external wireless high-efficiency energy supply to a miniature electronic capsule, physiological signals are transmitted to a signal conditioning and processing module through a signal sensing module for conditioning and emitted by a special ultra-low power consumption launch module, an external receiving system receives the signals, processes the signals and sends the signals to an external computer data analysis system; and an external program control module sends the stimulus signals to the stimulation functional module of an internal miniature electronic capsule system for functional stimulation through a wireless transmitting and receiving module and can also perform external adjustment to stimulus frequency, stimulus amplitude, stimulus period and the like.

The invention discloses a multifunctional rare earth product radioactivity detecting instrument based on a composite detector. The instrument can be used for the radioactivity monitoring of the rare earth product, and comprises a composite detector, a signal conditioning module, a lead chamber, a multi-channel data collecting and analyzing module, a computer data analyzing and managing module, a power supply managing module with low power consumption, and the like, wherein the composite detector is formed by combing a detector for detecting alpha and beta total amount and a detector for detecting gamma energy spectrum into a whole. The instrument can be used for simultaneously measuring the alpha and beta total amount and the gamma energy spectrum, and can give the alpha and beta total amount and the contents of radium, uranium, thorium, potassium and rate earth self radioactive element through one-time measurement. The instrument can realize the function which is realized by several instruments and several measurements in the prior art through one-time measurement. The invention has broad applying prospect in the radioactivity detecting field of rare earth industry, and has the advantages of simple and reasonable structure, high price / performance ratio, low energy consumption, strong function, convenient use and the like.

The invention relates to an on-line monitoring device for rubber ball cleaning of a condenser of a power plant based on optical fiber sensing technology. The device comprises a rubber ball cleaning device and a monitoring control circuit. The technical key points of the device comprise: an information acquisition unit of the monitoring control circuit adopts a contrast type optical fiber photoelectric sensor, a transmitting end and a receiving end of the contrast type optical fiber photoelectric sensor are packaged on the relative positions at both sides of a shell of the monitoring device respectively, planes where axes of the transmitting end and the receiving end are positioned are perpendicular to a water flow direction in the shell, the contrast type optical fiber photoelectric sensor is connected with a computer data analysis and processing unit of the monitoring control circuit through a switching value input board, and an output end of the computer data analysis and processing unit consisting of a data acquisition and storage module and a statistic data analysis module is connected with an alarm display unit. The device is used as an additional component of the rubber ball cleaning device. Compared with the prior similar devices, the device has a simple structure and low cost, and can monitor the quantity of rubber balls recovered in a circulating pipeline in a real-time, on-line and accurate mode.

The invention discloses a drilling-machine remote monitoring system. The drilling-machine remote monitoring system comprises a vehicle-mounted collecting facility, a data transmission module and a center server. The vehicle-mounted collecting facility comprises multiple sensors installed on a drilling machine, a data processor installed on the drilling machine and used for real-time collecting, processing and saving and a display device; the data transmission module adopts 4G network communication to achieve data transmission through the Internet, or a mobile phone APP obtains data in a Blue Tooth mode, and then data is uploaded through the mobile phone APP; the center server comprises an upper computer data analysis processing unit, and is connected with the vehicle-mounted collecting facility through the data transmission module, data information collected and saved in the data processor by the sensors through the vehicle-mounted collecting facility is received, analyzed and processed, automatic collection, digitization saving and remote transmission of working state parameters of the drilling machine are achieved, and automatic monitoring and convenient management are achieved.

The invention belongs to the field of electronic packaging and relates to an electronic speckle pattern interference detection system and method for failures of solder balls in board assembly ball grid array packaging devices. The system provided by the invention comprises a detection sample fixing and loading part, an electronic speckle pattern interference out-of-plane displacement testing light path part and a computer data analyzing and processing part, wherein the electronic speckle pattern interference out-of-plane displacement testing light path part is used for forming the interference fringes of the detection sample after deforming under a mechanical load, namely out-of-plane micro-displacement information; the computer data analyzing and processing part is used for collecting the fringes, carrying out phase unpacking and displacement computation and positioning failure regions; and the out-of-plane displacement fringes of a standard sample and the sample are compared to determine whether the sample is subjected to the failure of the solder balls or not. The system provided by the invention has the advantages of simple composition components, no damage on the devices in a measuring course, simple and convenient detection method, good process integrity and real-time measurement realization on a production line, thereby greatly enhancing the detection efficiency of the failure of the solder balls in the board assembly ball grid array packaging devices.

The invention relates to a landfill isolating membrane seepage block detection method and device. According to the detection device, a percolate guiding and discharging main pipe, a percolate collection branch pipe, a partially filled pipe ultrasonic flowmeter and a sleeve are arranged in a landfill of a double-layer anti-seepage structure, and a lead is adopted to connect the partially filled pipe ultrasonic flowmeter with a computer data analysis system to implement accurate detection of a geomembrane seepage area of the landfill. The landfill isolating membrane seepage block detection device divides the main anti-seepage layer HDPE geomembrane into blocks, the percolate seepage amount in each unit area in the main anti-seepage layer HDPE membrane is detected, and based on the computer data analysis system, the area of the main anti-seepage layer HDPE membrane where a geomembrane defect is located and the damage degree of the geomembrane of the corresponding area can be accurately judged.

The invention discloses an accelerated aging test device of a nonlinear resistor disc and a method for testing aging characteristics of the nonlinear resistor disc. The accelerated aging test device of the nonlinear resistor disc comprises a voltage-stabilized source, a high-voltage test power source, a waveform switch mechanism, a temperature test box, a control unit, a measurement unit and a computer data analysis and processing unit. The high-voltage test power source and the waveform switch mechanism are matched and arranged, so that supply, selection and switch of a direct current high-voltage power supply and an alternating current high-voltage power supply are achieved, the blank is filled, and the application range is wide; data is acquired by the measurement unit and output to the computer data analysis and processing unit for storing statistic and graphic plotting of the data , further, the data can be displayed, inquired and output, functions are complete, and statistics are comprehensive; and the high-voltage power supplies can be automatically switched by virtue of cooperative control of the control unit and the computer data analysis and processing unit, and the operation is simple, safe and efficient. The invention further provides the method for testing the aging characteristics, and according to the method, the test device is utilized, relative data is analyzed and processed, and an aging curve and data parameters can be obtained.

The invention provides equipment and a method for measuring a decoupling factor of an optical fiber gyro. The measuring equipment comprises a laser, a measuring device, a rotary platform moving acquisition card, a 485 interface, a data analysis system, an image acquisition card, a high-speed camera and a projection screen. The measuring method comprises the following steps that: based on the fact that laser emitted by the laser is reflected when projected onto the equipment to be measured and the fact that the reflected light forms a tiny round spot on the screen, the high-speed camera acquires the moving track image of the round spot on the screen in real time and sends the image to the data analysis system of a computer; and when the equipment to be measured moves along an azimuth axis and a pitch axis, the light spot forms the moving track, corresponding to moving parameters and a moving precision of the equipment to be measured, on the screen, by dividing, identifying and tracking the light spot of the acquired high-speed image sequence, the data analysis system of the computer fits the moving curve of the round spot in the time direction, and calculates moving information based on the fitting curve. The equipment has the advantages of being easily and conveniently operated and effectively overcoming defects existing in the conventional method.

The invention relates to a second-hand vehicle detection system, which comprises a vehicle body surface paint data analysis module, a vehicle chassis data analysis module, a vehicle computer data analysis module, an engine cylinder pressure data analysis module, an engine cylinder body analysis module, an engine performance analysis module and a comprehensive evaluation module, wherein the vehicle body surface paint data analysis module is used for setting the number of vehicle body surface paint data acquisition surfaces according to a different vehicle type, and each vehicle body surface paint data acquisition surface is provided with five acquisition points; vehicle body surface paint defects are judged according to the vehicle body surface paint data; and the comprehensive evaluation module is used for evaluating the comprehensive state of the vehicle according to the vehicle body surface paint defects, the vehicle chassis deformation state, the working state of each part of the vehicle, the engine cylinder body state and the engine power performance state. As each vehicle body surface paint data acquisition surface is provided with five acquisition points, the overall vehicle body surface paint detection efficiency is greatly improved, and compared with the phenomenon that four acquisition points are arranged for the original vehicle body surface paint detection, the efficiency is improved by about 30%.

The invention discloses a method of analysis of a regulatory relationship between genes or loci and a disease based on multi-omics, and belongs to the field of biological information and computer data analysis. The method includes the following steps that after a patient sample is collected, the pathogenesis is analyzed by transcriptome analysis, CHIP-Seq analysis, miRNA analysis and GWAS analysis respectively, and the mutant genes or loci and the confidence coefficients obtained are (g1, x1), (g2, x2), (g3, x3) and (g4, x4) respectively; the above analysis result is integrated by an estimation function htheta(x)=0.2+0.7*x1+0.6*x2+0.3*x3+0.9*x4, so that the regulatory relationship between the genes or the loci and the disease is analyzed. According to the method, the accuracy of analysis of the genes related to the disease by the estimation function reaches 87%.

The invention discloses a computer data analysis device based on big data, which comprises a base, the top of the base is fixedly connected with a connecting column, and the top of the connecting column is fixedly connected with a shell. According to the computer data analysis device based on big data, a sliding plate, teeth, a driving gear, a driven gear, a threaded rod and a threaded ring are matched for use; in the downward pressing process of the sliding plate, the driving gear can rotate through teeth mounted on the outer side wall of the sliding plate; the driving gear rotates to drive adriven gear to rotate, so that a threaded rod fixedly connected to the inner side wall of the driven gear rotates; the threaded rod rotates to enable a threaded ring on the outer side wall of the threaded rod to move outwards; when the sliding plate slides to the bottommost part, the display can be driven by the threaded ring to move to the outer side, at the moment, equipment can be used; the display can be driven to be opened and put back through pushing of the sliding plate, effective protection is achieved, damage is avoided, and convenience is brought to use of workers.

The invention belongs to the field of computer data analysis, and provides a traffic prediction method based on graph transfer learning, which can efficiently transfer knowledge from a source domain with sufficient training samples to a target domain with insufficient training samples, and improve the prediction performance of a traffic prediction model based on a graph convolutional neural network under the condition of small samples. The method provided by the invention can help to improve the prediction accuracy of a traffic prediction model based on graph data under the condition of small samples. According to the method, spatial clustering and time clustering regular terms are introduced, spatial-temporal pattern matching and prediction accuracy are balanced, and matching of node spatial-temporal pattern similarity in a target domain and a source domain is completed in a data driving mode, so that the effect of reducing negative migration is achieved, and the calculation overhead of the conventional method in the space-time mode matching process is greatly reduced.

The invention provides an optical fiber seismic monitoring system based on the back rayleigh scattering principle. The system mainly comprises an optical fiber, a lower computer system which carries out data collection and analysis, an upper computer data analysis system, a client interface which is used for displaying specific seismic information, and an alarm device. According to the principle of the system, a pulse light source emits pulse light into the optical fiber, and at the same time the device detects back rayleigh scattered light at the incident end of the pulse light; and the return light intensity information is analyzed. The back rayleigh scattering regularity of the optical fiber is very strong. Under the condition that the optical fiber does not vibrate, the returned back rayleigh scattering intensity is basically fixed. When the seismic wave acts on a certain position of the optical fiber, the rayleigh scattering at the position changes. The analysis system determinesthe vibration position based on the time when the abnormal value is received. The vibration intensity is determined by analyzing the change magnitude of a vibration value. The lower computer uploads the analysis result to an upper computer. The upper computer displays alarm details and commands the alarm device to alarm.

The invention discloses a golf swing training system and its application. The system includes a golf swing alignment trainer (1), a golf swing detector (2), a human skeleton data collector (3), a data analysis system (4) and a golf hitting pad (5). The human skeleton data collector (3) is placed directly in front of the golf swinger, at a height of 1.2 to 2.5 meters from the ground, and the human skeleton data collector (3) is connected to the golf hitting pad (5) by wire, The golf swing alignment trainer (1) and the golf swing detector (2) are wirelessly connected to the golf hitting pad (5). The present invention can real-time detect the information of the club head in the golf swing action, the height and speed information of the first stage of the golf flight, and the bone movement data of the swinger, and after processing and analyzing by the computer data analysis system (4), it can provide the golfer with The analysis result of the swing action is provided, which is beneficial for the user to improve the golf exercise level.

A system and method of computer data analysis using neural networks. In one embodiment of the invention, the system and method includes generating a data representation using a data set, the data set including a plurality of attributes, wherein generating the data representation includes: modifying the data set using a training algorithm, wherein the training algorithm includes growing the data set; and performing convergence testing, wherein convergence testing checks for convergence of the training algorithm, and wherein the modifying of the data set is repeated until convergence of the training algorithm occurs; and displaying one or more subsets of the data set using the data representation. In one embodiment, the data representation is a knowledge filter that includes a representation of an input data set. The representation may be constructed during a training process. In one exemplary embodiment, the training process uses unsupervised neural networks to create the data representation. In general terms, the data representation may include a number of coupled, or connected, hexagons called nodes. Considering relevant attributes, two nodes that are closer together may be more similar than two nodes that are further apart.

The invention discloses a ship-based portable deep-sea seabed soil field strength testing device, belonging to the achievement work of the deep-sea seabed soil mechanical property testing technology and device in the field of marine engineering, geotechnical engineering and geological engineering, due to the fact that the test site is located on the field test or engineering ship, and the technical device overcomes the obstacles of the deep sea in time and space, a field test result with certain timeliness can be obtained. According to the device in the invention, a sensor is arranged on the top of a probe to avoid the distortion caused by temperature difference or humidity difference of the sensor; a sample is fixed by using a telescopic arm lock, so that the sample is not affected by thesway of a hull during the test; automatic control of one-time penetration or loop penetration is realized by computer programming, which is more efficient and accurate; the optimized data acquisitionsystem is adopted so as to ensure the stability and reliability of the acquired data; and the optimized computer data analysis software is adopted so as to ensure the integrity of the data and realize fast, accurate and efficient data processing.

The invention discloses a computer data analysis and management system based on big data. The system comprises a data acquisition module, a data processing module, a data comparison module, a data analysis module, a reading module, a database, an information collection module, a controller, an indicator light, an information intercommunication module, a data calculation module and an encryption backup module. According to the invention, when the data analysis module receives an overuse signal, the CPU occupancy rate, the memory occupancy rate and the hard disk read-write rate that are used bya computer every time in last week are extracted from the reading module, and the obtained values of T, Y and U and the values of t, y and u are respectively compared with the preset values a, s and dand the preset values f, g and h, and the generated CPU solution signals, memory solution signals or hard disk read-write solution signals are transmitted to the information intercommunication modulethrough the controller and are sent to a mobile phone of a user through the information intercommunication module to be displayed, so that the phenomena of computer jamming, damage and the like can be prevented in advance.

The invention discloses a diesel engine real machine test platform and method for cylinder sleeve-piston ring comprehensive performance analysis. The test platform comprises an experiment table base,a diesel engine body, a load simulation system, a measurement and control system and a computer data analysis system. A diesel engine output belt wheel is connected with the load simulation system through belt drive. Various sensors in the measurement and control system are arranged at key nodes of the diesel engine respectively, and signals obtained by the sensors pass through an analog-to-digital conversion module and a data acquisition card and enter the computer system for data analysis. The test platform can test and analyze the performance of the cylinder sleeve and the piston ring and the influence of the performance on the comprehensive performance of the diesel engine under a fuel load working condition, and can be widely applied to analysis and research of the comprehensive performance of the cylinder sleeve-piston ring under the working condition of a real machine; and the diesel engine is under different loads by adjusting the simulation load, so that the single working condition is avoided, and one machine with multiple measurement can be achieved.

The invention provides a multi-modal data and algorithm code management system based on a hybrid database. The multi-modal data and algorithm code management system comprises a data format and code classification grading system, a data classification storage management system, a data backup and management system and a data code uploading and downloading identity authentication and authority management system. According to the invention, Unified format standards are provided for multi-modal mixed data including images, texts, videos and the like and corresponding computer data analysis and processing algorithms. Coding criteria, classification and grading standards are met, and unified management is carried out; therefore, the multi-modal data management difficulty and the use difficulty are reduced; the work efficiency and the collaborative development efficiency are improved, a large amount of repeated work is avoided, the data algorithm use experience is improved, the algorithm performance can be improved by improving the combination degree of data and algorithms, the expandability and safety of data resources can be greatly improved, and effective data and algorithm support andthe like can be provided for other system platforms.

The invention discloses a local scan association rule computer data analysis method based on pre-judging screening. Aiming at inherent defects of a classic Apriori algorithm, a local scan association rule analysis algorithm-MAWP algorithm based on transaction number query is provided based on an association rule analysis algorithm based on pre-judging screening. The algorithm records transaction numbers including a frequency k item set, and partially scans the transactions in the database but not completely scans the same during a process of verifying the screened candidate k item set, namely only scans a transaction set including the k-1 item set and with the minimal amount of the transactions, so that the total amount of the transactions scanned for determining the frequency item set is decreased, the operation time of the algorithm is reduced, and the operation efficiency of the algorithm is improved.