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52results about How to "Low execution efficiency" patented technology

Method and Arrangement for Allocating a Dedicated Channel in a Cellular Communication System

A dynamic channel assignment scheme for a TDD radio communication system (100) with coexisting dedicated (230; 240) and shared (210; 220) channels has segregated dedicated and shared channel mechanisms. Up to nDL<sub2>—</sub2>DCH<sub2>—</sub2>MAX/nUL<sub2>—</sub2>DCH<sub2>—</sub2>MAX dedicated downlink/uplink channel slots are granted, with the remainder of slots for shared channels. These maximum numbers accommodate the needs of conversational and streaming class traffic carried on shared channels. New slots can be claimed for dedicated channels (subject to this maximum) as required, taking the shared channel slot with the smallest timeslot. If the last DCH allocation in a slot is ended, the slot is freed for DSCH/USCH usage. This provides the following advantage(s): uplink algorithm metrics account for intercell interference, the most significant interference source in TDD mode systems, leading to greater capacity; midcall reallocation allows coverage and quality of service to a user to be maintained when a user moves from the centre of the cell to the cell edge; dynamic split between dedicated channel timeslots and shared channel timeslots allows the network to optimise radio resources according to traffic type, leading to an overall higher capacity when the network supports both dedicated channels and shared channels; alignment of the DCH slots across many cells improves the usefulness of measurements for DCA/CAC.
Owner:INTELLECTUAL VENTURES HOLDING 81 LLC

Livestock and poultry house environment monitoring system based on Internet of Things technology and working method thereof

The invention relates to a livestock and poultry house environment monitoring system based on the Internet of Things technology and a working method thereof. The system comprises a monitoring and executing module, a data transmission module, an upper computer monitoring platform 1 and a mobile terminal. The monitoring and executing module is arranged in a livestock and poultry house and comprises a monitoring module 6 and an executing module. The data transmission module is a ZigBee wireless sensing module. The upper computer monitoring platform 1 comprises a real-time display module, a data storage module, a control module and an alarm module. The working method of the system includes the steps of information acquisition, data fusion, fuzzy control and instruction output. An optimal weighted data fusion algorithm is adopted for the data fusion step. The system and the working method thereof have the advantages that the system is supported by the Internet of Things technology and the fuzzy control technology, a ZigBee wireless sensing network, a TCP/IP network and a mobile communication network are fully utilized, and the intelligent livestock and poultry house environment monitoring system is provided. The system achieves access of the mobile phone terminal to ZigBee network monitoring data through an SIM900A module and the upper computer monitoring platform 1.
Owner:NANTONG UNIVERSITY

Bank system historical data cleaning method and device

The invention provides a bank system historical data cleaning method and device, used for cleaning historical data of a database data table. The bank system historical data cleaning method comprises the following steps: formulating a data cleaning rule according to the life cycle and association relationship of the data table of the database; screening data and key values of the data table to be cleaned according to the data cleaning rule, and determining the cleaned data index of the data table to be cleaned; cleaning the data of the data table of the database according to the data cleaning index, and writing the key values of the cleaned data into a backup index file; and generating a cleaning statistics report and recording the cleaned data in the file to save for a set time according to the backup index file, so as to support recovering the file from the file as needed. Through the bank system historical data method and device disclosed by the invention, the cleaning of the historical data can be realized, and efficient and safe operation of the production environment system can be ensured; therefore, the impact of the historical data cleaning process on normal business applications is avoided to the greatest extent, and the probability of affecting the normal applications in the normal production environment after the data cleaning is reduced.
Owner:BANK OF CHINA

Space positioning system for intelligent assembly and space positioning method for intelligent assembly

The invention discloses a space positioning system for intelligent assembly. The space positioning system for intelligent assembly can carry out space positioning on target objects which are complex in shape. The space positioning system for intelligent assembly comprises a robot control cabinet, a robot module, a 3DL camera, an image processing module, an algorithm calculating module and a positioned target object. The invention further discloses a space positioning method for intelligent assembly. The space positioning method for intelligent assembly comprises the steps of (1) building a user coordinate system and a tool coordinate system of the 3DL camera, (2) calibrating the 3DL camera in the user coordinate system, (3) taking eight photograph points in the edge of the target object to photograph, (4) carrying out binarization processing on photographed images of each point, and obtaining feature points of each photograph point, (5) extracting space position information of each feature point in the user coordinate system, (6) transmitting the space position information of each feature point in the user coordinate system to the robot control cabinet, and (7) calculating a space position coordinate system of the target object according to the space position information of the eight feature points on the target object.
Owner:SHANGHAI FANUC ROBOTICS

A pigment separation method of centralized image channel difference based on optical density space

The invention discloses a pigment separation method of centralized image channel difference based on optical density space, which comprises the following steps of acquiring an RGB color skin image under polarized light and extracting skin color; dividing the image into a plurality of sub-image blocks and discarding the sub-image blocks containing non-skin pixels; obtaining the pure color density of each sub-image block; obtaining a matrix optimum solid color concentration matrix; calculating the concentrations of melanin and hemoglobin in the image, and introducing the gray distribution and color distribution of the pigment concentration. According to the present invention, a light source interference term in a conventional pigment separation model is eliminated without principal componentanalysis, and a simple and efficient constraint condition for judging the rationality of the pure color concentration matrix is designed, thereby avoiding, in the existing pigment separation algorithm, the inaccuracy and robustness of the pigment concentration extraction result due to the interference of light source intensity and the data loss in the principal component analysis process, as wellas the low efficiency of the algorithm due to the complexity of the determination process of the pure color concentration matrix.
Owner:武汉嫦娥医学抗衰机器人股份有限公司

Method for quickly optimizing and compensating spatial positioning errors of rotating shaft of five-axis numerical control machine tool

The invention discloses a method for quickly optimizing and compensating spatial positioning errors of a rotating shaft of a five-axis numerical control machine tool. The method comprises the following steps: 1) establishing a spatial positioning error model; (2) forming an error database containing 12 geometric error vectors of the rotating shaft; 3) constructing a numerical control system rotating shaft space positioning error compensation table; 4) establishing a compensation data optimization model; 5) completing iterative optimization of the compensation data, and realizing optimal selection of a correction coefficient; 6) completing compensation for the geometric errors of the rotating shaft of the five-axis numerical control machine tool; and 7) updating geometric error correction data to an error database, detecting a linkage track of the rotating shaft, setting a positioning error threshold of the linkage track, and circularly implementing three steps of operations of detection, optimization and compensation to realize precision guarantee. According to the optimization compensation method, iteration of the machine tool space positioning error compensation value can be efficiently and conveniently completed, the automation degree is high, the adaptability of optimization compensation is good, and technical support is provided for machine tool machining precision.
Owner:CHENGDU AIRCRAFT INDUSTRY GROUP

Method and device for fault tolerance of grading instruction memory structure capable of actively writing back

The invention provides a method and a device for fault tolerance of a grading instruction memory structure capable of actively writing back. The device comprises a grading instruction memory, an instruction fault correcting and checking module, an instruction character register, and an instruction address register. The method comprises: 1, starting and operating a processor; 2, taking out instruction character data from the grading instruction memory; 3, sending the instruction character data to the instruction fault correcting and checking module; 4, determining a fault correcting and checking result to have no fault or have a correctable fault; if yes, continuing to perform a step 5; if no, jumping to step 10; 5, writing an instruction character to the instruction character register; 6,updating the instruction address register; 7, determining whether a correctable fault occurs; if yes, continuing to perform a step 8; if no, jumping to a step 9; 8, writing the instruction character data back to the grading instruction memory; 9, ending processing; jumping to the step 2, processing the address of the next instruction; 10, when the instruction character data has uncorrectable fault, suspending the processor. The method and the device realize fault tolerance of instructions and the instruction memory, and have relatively low hardware cost.
Owner:XIAN MICROELECTRONICS TECH INST

A template selection and accelerated matching method for nonlinear color space classification

The invention provides a template selection and accelerated matching method for nonlinear color space classification, and the method comprises the processes of the model training and the image matching, wherein the model training comprises the steps of collecting a training image sample, extracting a CIE chromaticity diagram of the training image sample, and carrying out the manual marking of a color category number to which the CIE chromaticity diagram belongs; and obtaining a five-layer feedforward neural network model; and the image matching process comprises the following steps of inputting a pair of color images, and setting a sampling rate; carrying out isolated point downsampling processing; obtaining a classification result set; calculating a metric value of the similarity probability; selecting i corresponding to the first k values with the highest scores as a preferred color category number, and correspondingly obtaining a template area in the template image and an area to bematched in the image to be matched according to the preferred color category number; and matching the template area in the template image with the to-be-matched area in the to-be-matched image. Experimental results show that the method has the higher registration rate and execution speed, and the problem that color space color distance measured by a linear model is inconsistent with human eye vision judgment in an existing matching method is solved.
Owner:LIAONING TECHNICAL UNIVERSITY

Hyperspectral image distributed compression method and system based on compressed sensing

The invention discloses a hyperspectral image distributed compression method and system based on compressed sensing. The hyperspectral image distributed compression method comprises the steps of conducting spectral compression sampling on an original hyperspectral image; carrying out distributed encoding processing on the sampled data; dividing each waveband into at least one coding block with thesame number, taking the first waveband as a starting waveband, carrying out linear prediction on the current coding block by utilizing the corresponding coding block in the adjacent previous wavebandfor any coding block in any of the rest wavebands, and determining the number r of LSBs needing to be transmitted by the current coding block according to the prediction residual error; and transmitting the data after spatial lossless compression of each coding block in the first waveband, the first r LSBs of each coding block in other wavebands and the prediction coefficient to a receiving end for compressed sensing reconstruction of the hyperspectral image. The compression method provided by the invention has relatively low complexity, good compression performance and error code resistance.With a coding block as a basic unit, an error code is controlled in the coding block and cannot be transmitted to other blocks.
Owner:ARMY MEDICAL UNIV
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