31results about How to "Improve integration accuracy" patented technology

The invention relates to a temperature conversion method and a low-power high-precision integrated temperature sensor. The low-power high-precision integrated temperature sensor is composed of a band gap reference circuit with a sensing core, a positive and negative synchronous switch capacitor integral circuit, a current source and a sampling capacitor dynamic element matching module, a clock generating circuit, a divider and buffer circuit and a fully differential analog-to-digital converter. The sensing core circuit in the traditional technology and the band gap reference circuit are combined and integrated, so that the circuit structure is simplified; the current source dynamic element matching module is arranged and thus a base-emitter junction voltage difference in proportion to the absolute temperature is generated, wherein the polarity of the voltage difference changes alternately; with the novel positive and negative synchronous switch capacitor integral circuit, the improved temperature conversion function is completed and the dynamic range utilization rate of the analog-to-digital converter is improved; dynamic element matching is carried out on the sampling capacitor, thereby improving the integral accuracy; and the analog-to-digital converter is used for carrying out quantization processing on an effective temperature signal to provide a digital output. Therefore, the temperature error and circuit power consumption of the sensor can be effectively reduced; and the method and the sensor are suitable for the low-power high-precision temperature sensing application.

Methods and systems for collaborative, incremental specification of identities are provided. Users of an information processing system collaborate to define and refine identities of entities, and users can create references for those identities. Relationships among the identifiers implied related keywords that can be used to improve search, navigation, and integration. Relationship factoring can be used to maintain efficient logical and physical representations.

The invention discloses an analog-digital conversion circuit for a dynamically tuned gyroscope, which comprises a divided circuit, an integrating circuit, a logic control circuit, a switching circuit, a shaping circuit, a constant-current source circuit and an output circuit. The analog-digital conversion circuit has the following advantages: (1) as the resistance-type divided circuit is adopted, an integrator can work in a few milliampere state, and the integral accuracy is improved; (2) the ternary widening logic is utilized for replacing the dual logic, the absolute value of the zero position of a ternary logic convertor is small, and the variation of the zero position is also small; (3) the measuring range of the analog-digital conversion circuit disclosed by the invention meets the great dynamic requirement of -600 degrees/s to 600 degrees/s, the clock signal is increased from 128 KHz to 256 KHz to ensure the resolution ratio of angular velocity measurement, and the degree of linearity in the temperature field of [-40 DEG C, +60 DEG C] is less than 8*10<-4>, so the degree of linearity in the entire temperature field range is ensured, and the accuracy of analog-digital conversion is improved.

The invention discloses an LED module and a display device, and relates to the technical field of display, the LED module comprises an LED substrate, a driving substrate and a connecting structure; the LED substrate comprises a PCB substrate, a plurality of first signal wires and a plurality of LED chips arranged in an array, the LED chips and the first signal wires are arranged on the PCB substrate with the PCB substrate as a substrate, and first poles and second poles of the LED chips are connected with the different first signal wires respectively; the driving substrate comprises a glass substrate, a driving chip and a plurality of second signal wires, the driving chip and the second signal wires are arranged on the glass substrate by taking the glass substrate as a substrate, and one end of each second signal wire is electrically connected with the driving chip; and the first signal wire and the second signal wire are electrically connected through a connecting structure. Accordingto the invention, the IR voltage drop of the signal line between the driving chip and the LED chip can be effectively reduced while the integration precision of the driving chip is improved.

The invention discloses a two-stage instance layer data integration approach based on fuzzy priority and belongs to the technical field of data integration. The two-stage instance layer data integration approach based on the fuzzy priority comprises the following steps: determining priority indicators and the weight of each indicator of distributed storage nodes firstly, wherein records to be integrated belongs to the distributed storage nodes, adopting triangular fuzzy numbers to show the fuzzy priority; distinguishing the intensity conflict of an instance layer according to a voting mechanism when data is integrated; if the intensity conflict is weak, adopting the most consistent attribute value to be used as an integrated result; and if the intensity conflict is strong, calculating each record and the membership degree of a positive ideal solution and determining the attribute value adopted by integration by means of construction of a fusion decision matrix of defuzzification. The two-stage instance layer data integration approach based on the fuzzy priority solves the problems of low integrated efficiency of low precision of the integrated result in massive data integration and the like.

The invention relates to the technical field of big data and artificial intelligence, in particular to a big data resource integration method and system based on artificial intelligence and a cloud platform. The method comprises the following steps: acquiring a track user data set of a first track and customer description class data on the first track; inputting the trajectory user data set of the first trajectory and the customer description type data on the first trajectory into a first target user data set neural model to determine a mode of a preset resource data integration list from a first initial calculation point to a first termination calculation point in a data integration model, obtaining and inputting the track user data set of the first track and the customer description type data of the first track from the data integration model into the neural model to determine the preset resource data integration list, so that the purpose of improving the accuracy of determining the preset resource data integration list is achieved, the integration accuracy of the preset resource data integration list is improved, and the technical effect of providing optimal track selection for the user is achieved.

The invention provides an inertia pre-integration optimization method based on a double-speed numerical integration structure, and the inertia pre-integration involved in a common inertia-based combined motion measurement system is a very key link in the system in the application fields of vehicle automatic driving, unmanned aerial vehicle attitude control, motion capture, augmented reality and the like. A double-speed numerical integration structure is introduced into inertia pre-integration of the combined motion measurement system, the double-speed numerical integration structure comprisesa double-speed rotation integration structure, a double-speed speed integration structure and a double-speed position integration structure, and parameters in a linear integration item and a nonlinearintegration item are optimally designed by implementing parameter optimization of the double-speed numerical integration structure. By using the method disclosed by the invention, the motion estimation precision, the calculation real-time performance and the numerical stability of the inertia-based combined motion measurement system can be remarkably improved.

Provided in the invention is an on-line verification system for voltage and current transformers. The system is composed of a standard transformer, a verified transformer, and a PC machine. The standard transformer consists of a primary sensing unit, an acquisition transmission unit, and a main control module; the primary sensing unit is connected to the acquisition transmission unit connected tothe main control module; and the main control module is connected to the PC machine. A voltage or current signal outputted by the primary sensing unit is transmitted to the acquisition transmission unit at a low-voltage side by a shielding cable for signal processing; the outputted signal is transmitted to the main control module by a first fiber; after framing processing, the processed signal asa standard signal is transmitted to the PC machine. According to the on-line verification system, online verification the voltage and current transformers in operation is realized simultaneously by using one set of acquisition transmission unit and main control module, so that the equipment investment is saved substantially and the complexity of the system is reduced.

The invention discloses angle adjusting equipment which comprises a vacuum negative pressure workbench, angle adjusting tables and a push rod assembly; materials to be integrated are placed on the vacuum negative pressure workbench, the angle adjusting tables are arranged on the top face of the vacuum negative pressure workbench in a sliding mode and located on the side faces of the materials to be integrated, and the push rod assembly is used for pushing the materials to be integrated to be horizontal; and the vacuum negative pressure workbench is arranged on a machine frame, and ground feetare installed on the bottom side of the machine frame and are fixed ground feet or rolling wheel ground feet. According to the angle adjusting equipment, the angle adjusting tables are arranged on thetwo sides of the materials, the acting sequence of the two angle adjusting tables is set to be matched with positioning holes which are inclined in the supplementary angle mode in the two sides, so that two references exist in the material integration process, the angle tolerance value can be effectively reduced, and the integration precision is improved.

The invention relates to a transportation network data integration method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring a transportation network data integration request which carries cargo delivery volume data and a plurality of transit points in a transportation network, wherein the cargo delivery volume data comprises target cargo volume data; according to a pre-integrated transit point shipping strategy, determining a transportation capacity corresponding to the cargo shipping volume data at each transit point, and connecting the determined transportation capacities in series to obtain a comprehensive transportation capacity; distributing the target cargo volume data to the comprehensive transportation capacity according to the pre-integrated transit point shipping strategy; carrying out statistics on the cargo volume data of each transportation capacity in the comprehensive transportation capacity, and determining the transportation capacity corresponding to cargo volume data greater than a preset threshold value; and according to the pre-integrated transfer point shipping strategy and the cargo shipping volume data, adjusting the cargo volume data of the transportation capacity corresponding to the cargo volume data greater than the preset threshold to obtain network integration data of the transportation network. By adopting the method, the transportation network can be accurately described.

The invention provides an integrated pruning strategy based on a balanced binary tree, and the structure of a multi-step multi-line ship lock comprises the following steps: S1, initializing a base classifier integrated pool: segmenting a big data set to form a plurality of sub-data sets, and carrying out the training and testing of each sub-data set, thereby forming an initial complete classifierpool; S2, constructing a balanced binary tree to form a final sub-integration; and S3, predicting and classifying new data samples by using the reserved optimal sub-ensemble. According to the method,the technical problems that a fitting phenomenon is easy to generate, a base classifier with too high or too low test precision is difficult to remove, and the generalization performance is not high are solved.

The object of the present invention is to provide a generator with high productivity, low price and high durability. According to the vehicle charging generator equipped with a one-way clutch of the present invention, the clutch has a clutch inner sleeve and a clutch outer sleeve, the inner sleeve is installed on the rotor shaft, the outer sleeve is inserted between the inner sleeve and the pulley, and the pulley is driven by the power unit of the vehicle. It is driven and transmits power in only one direction of rotation from the pulley to the rotating shaft. It is characterized in that: there is an external thread on the shaft, and an internal thread is provided on the inner circumference of the inner sleeve of the clutch; through the engagement of the internal thread and the external thread, the The clutch inner sleeve is fixed to the shaft, and the clutch outer sleeve and the pulley are integrally formed. According to the vehicle charging generator of the present invention, fastening nuts are omitted to reduce the number of parts, and the combined operation steps are further reduced. Accordingly, combination operations are facilitated and overall accuracy is improved.