118results about How to "Improve decision accuracy" patented technology

The present invention relates to a device for observing a sentinel lymph node (SLN) in a human body. More particularly, the present invention relates to a device for observing an SLN by detecting near-infrared (NIR) fluorescence caused by a fluorescent material such as indocyanine green (ICG) at the SLN and a method for detecting NIR fluorescence at an SLN. Particularly, in the implementation of a composite image obtained by reproducing a fluorescent material such as ICG and NIR fluorescence emitted by excitation light together with a visible light image, it is possible to detect an SLN with high accuracy through a color contrast method and/or a temporal modulation method using an NIR fluorescence image signal and a visible reflection light image signal.

Provided is a fire detection method and system, which includes: a video monitoring step of performing real-time video monitoring on a set surveillance space and/or surveillance area; a fire detection step of detecting a fire sign on the basis of analysis of video data; a control step of supporting a control person using a display means to make a decision on whether or not a fire has occurred; a control supplement step of supporting a control supplement function for improving accuracy of the decision-making; a remote control supplement step of supplementing the decision-making on whether or not a fire has occurred by way of remote support in a situation where there is no response from a control person within a set time; and a fire notification step of performing fire notification and warning in a surveillance space and/or a surveillance area where occurrence of fire has been confirmed.

An atrial fibrillation decision apparatus includes an acquisition unit that acquires a detected waveform signal indicating a detection result of an electrocardiogram or pulse wave, an RR interval calculation unit that calculates a parameter corresponding to the RR interval with respect to each frame on the basis of a spectrum of each frame obtained through frequency analysis of the detected waveform signal acquired, and an RR waveform signal that indicates a temporal change of the parameter, a power calculation unit that calculates a temporal change of power of a predetermined frequency band of the RR waveform signal, and a decision unit that decides whether the calculated power satisfies a specific condition and outputs information indicating whether atrial fibrillation is taking place, on the basis of the detection result.

The invention relates to a method for assessing the risk and the reliability of a power distribution network. The method includes the following steps: obtaining a model and measurement data of the power distribution network; obtaining a model and measurement data of a power transmission network; carrying out probability calculation on elements, and determining a probability value; carrying out static safety analysis, and giving an out-of-limiting device and a power-off device; carrying out conversion to obtain the load shedding amount for the out-of-limiting device according to the sensitivity; carrying out power-off risk calculation and reliability index calculation; when calculation data are research data, comparing the research data calculation result with a latest real-time data calculation result, and giving an alarm when the risk of the research calculation result is larger than that of the real-time calculation result. The method has the advantages that by means of the technical scheme, calculation of the research data is increased, when overhauling information, load information and running states are changed, the outage risk is compared, and the assessment accuracy and the decision making accuracy are improved.

The invention discloses a photovoltaic power station output data repairing method based on weather information. The method comprises the following steps: repeated, missing and unreasonable abnormal data in data are obtained through screening, and according to the length of a continuous time sequence corresponding to the abnormal data, a continuous abnormal type and a local abnormal type are divided; the correlation between the selected weather information data items and the normal photovoltaic power station output data is checked item by item, and uncorrelated data items are removed; the known weather information, a cloud covering factor at the photovoltaic power station and the temperature are used for training a BP neural network model, and all parameters of the BP neural network model are obtained; as for the local abnormal data, an interpolation method is adopted to obtain repaired photovoltaic power station output data; as for the continuous abnormal type data, the weather information at the corresponding time is used to obtain the temperature and the cloud covering factor data; and the effectiveness of the repaired data is checked, and a repairing report is outputted. By using the open and free weather information, the photovoltaic power station output data are repaired.

The invention provides an analysis method for power outage risk and reliability based on full-web topology and relates to the analysis method for the power outage risk and reliability of a power grid. After the full-web topology is changed, a risk assessment result is inaccurate. The analysis method comprises the following steps: acquiring models and measuring data for a power transmission network and a power distribution network; judging whether a calculating object of the data is real-time data or research data; acquiring modifying information and modifying the models and the measurement data; confirming a probability value; performing static safety analysis and giving an out-of-limit device and a power outage device; for the out-of-limit device, switching into a cutting load according to the sensitivity; performing power outage risk calculation and reliability index calculation; when the calculated data is the research data, comparing the calculated data with the latest real-time data calculation result; alarming when the research calculation result risk is more than the real-time data calculation result. According to the technical scheme, the research data calculation is added, and when overhauling information, load information and running state are changed, the outage risk is compared, so that the assessment accuracy and the decision correctness are promoted.

An imaging device includes a solid state imaging element that includes a plurality of pixels; and a driving unit; wherein each pixel includes: a photoelectric converting element includes a pair of electrodes stacked above a semiconductor substrate and a photoelectric converting layer arranged between the electrodes; a connecting portion that is arranged in the semiconductor substrate; a potential barrier portion; a first charge accumulating portion; and a signal output circuit, and wherein the driving unit executes such a same potential driving that the connecting portion and the potential barrier portion are set to have a same potential by varying the potential of the potential barrier portion.

The invention discloses a demand response resource multi-time scale rolling scheduling method for new energy consumption. The method comprises calculation of a day-ahead scheduling plan, calculation of an intraday scheduling plan and calculation of a real-time scheduling plan. The invention aims at different characteristics of different new energy prediction precisions at different time scales, comprehensively considers the multi-time scale characteristics of demand response resources and good interaction between demand side resources and power generation side resources such as wind power, photovoltaic, conventional start-up units and quick start-up units, considers incentive demand response resources at different time scales and price-type demand response resources affected by real-time electricity prices, realizes the rolling schedule of the demand response resources of the day-ahead, intraday and real-time time scales, and with the cooperation of multiple time scales, can ensure thesafe and stable operation of a power system and the consumption of new energy, as well as the coordinated scheduling of the demand response resources at different time scales. The method of the invention has a good application prospect.

The invention discloses a vehicle remote driving control system and method based on a 5G network, and relates to the technical field of remote driving. The vehicle remote driving control system comprises a vehicle-mounted terminal, a cloud end and a driving end, and the vehicle-mounted terminal is fixedly arranged on a vehicle; the vehicle-mounted terminal, the cloud end and the driving end are configured to establish a remote driving control system which is based on real-time data transmission connection and comprises road feel feedback and audio and video synchronous display; and the real-time data transmission is configured to be capable of packaging the vehicle comprehensive information of the vehicle into MPEG-TS data streams according to a predetermined packaging sequence and predetermined bytes and then transmitting the MPEG-TS data streams to a driving end, and is capable of packaging vehicle control information input by a driver through the driving end into UDP data packets and then transmitting the UDP data packets to the vehicle-mounted terminal. Through the implementation of the system and the method, the real-time transmission of multiple paths of high-definition audioand video information can be realized, the sense of immediacy of the driver is greatly improved, and the system has the advantages of reliable connection, low information transmission delay and goodcompatibility.

The invention discloses an air-ground coordination-based expressway emergency disposal simulation system and an assistant decision making method. The system comprises an unmanned aerial vehicle group,an unmanned aerial vehicle foundation assembly and an industrial computer. As a vehicle-mounted device for emergency command, the device can quickly reach a nearby location after an expressway emergency event, and has high flexibility and mobility; the advantages of flexible unmanned application means, abundant application scenarios and wide data acquisition are made full use of, the system and the method can be timely used for on-site information collection when the expressway emergency event happens, and the response speed of emergency disposal is ensured; an emergency disposal strategy simulation mode is applied, the implementation process of the strategy is previewed in advance, the implementation effects are evaluated to assist a field commander to make a better decision, the purposeof improving the decision making precision is achieved, and risks brought by a poor emergency disposal strategy are reduced at the same time.

The invention belongs to the technical field of digital audio data processing, and discloses a mobile voice recording device source identification method based on a stacked auto-encoding network. Themethod comprises first extracting the RASTA-MFCC feature of a pure voice segment and training a GMM-UBM model; then extracting the RASTA-MFCC feature based on the voice segment of a specific device source, adjusting the parameters of the GMM, and extracting the features of the relevant logarithmic spectrum of the voice segment of the specific device source; finally training a deep auto-encoding network by using the extracted features to achieve an automatic identification and classification requirement. The method can determine the source of digital audio in the fields of justice, news, intellectual property, scientific discovery and the like, and verifies the authenticity and the integrity of digital audio data. In the fields of voice recognition and speaker recognition, the method can separately detect the device channel information of training and testing voice, and establishes a channel mapping function between the training and test voice, thereby solving the channel mismatch.

The invention relates to the technical field of automatic driving, and provides a remote driving control method and device for an automatic driving vehicle and a remote driving system. The method is applied to a remote control center and comprises the following steps: establishing communication connection between the remote control center and a target automatic driving vehicle in response to a remote driving request sent by a user; determining a target remote driver suitable for driving the target automatic driving vehicle; acquiring vehicle driving related information from the ADS of the target automatic driving vehicle based on the communication connection; acquiring driving data of remote driving for the target automatic driving vehicle by the target remote driver based on the vehicle driving related information; and transmitting the driving data to the ADS. According to the invention, a remote driver can intervene in the driving of the automatic driving vehicle, the confidence of the user to the automatic driving vehicle can be improved, and the decision accuracy of the automatic driving vehicle under complex conditions can be improved.

In a device for detecting an abnormality of a gas sensor having a detected cell in which a pair of electrodes are provided on a solid electrolyte material, a microcomputer temporarily inputs a test signal including an alternating current component to a signal line connected to the electrode and detects a response signal developing in response to the test signal. If there is no disconnection in the cell, a current corresponding to the alternating current component flows between the electrodes due to a parasitic capacity of the cell to produce the response signal. If there is a disconnection therein, the magnitude of the response signal becomes zero. Therefore, if a detection value of the response signal falls below a reference value, a decision is made that a disconnection abnormality occurs in the cell. This enables a disconnection in the gas sensor to be detected with accuracy.

The invention relates to an agricultural monitoring system, in particular to a precision agriculture self-adaption monitoring system and a method based on agricultural Internet of things. The invention resolves the problems that an existing agricultural monitoring system is large in a rate of data loss, poor in network robustness, low in control efficiency and high in control cost. The precision agriculture self-adaption monitoring system based on the agricultural Internet of the things comprises a soil moisture content sensor network, a self-adaption environment control module, a central management platform, a weather information collecting module, an individual area information collecting module and an automatic irrigation system, wherein the soil moisture content sensor network comprises n soil moisture content data collecting modules, n power supply modules and n+1 wireless communication modules, power supply output ends of the n soil moisture content data collecting modules are connected with power supply output ends of the n power supply modules in a one-to-one corresponding mode. The precision agriculture self-adaption monitoring system and the method based on the agricultural Internet of the things are suitable for monitoring of greenhouses.

The invention discloses a gas pipe network leakage grade judgment method based on an improved evidence fusion algorithm. The gas pipe network leakage grade judgment method comprises the steps that multiple evidence sources used for judging gas pipe network leakage are obtained through gas pipe network information measured by a sensor; and for weak decision evidences, the focal element weight of the focal element with the highest mass value is taken as 1, and the other focal elements are multiplied by the respective focal element weights respectively, so that the difference between the maximumtrust focal element and the other focal elements is effectively expanded, and the evidence fusion result is more reliable, and the convergence speed is high. For conflict evidences, average evidencesare adopted to replace the conflict evidences, and the conflict evidences are limited by the evidence distance weights, so that the influence of the conflict evidences on an evidence synthesis resultis reduced, and weak decision evidences can play a decision role. According to the invention, the accuracy of gas pipe network leakage level decision can be improved.

The invention discloses a commodity delivery decision making system, method and device. The commodity delivery decision making system includes delivery decision making sub system and a delivery effectfeedback sub system. The effect feedback sub system can compare acquired practical delivery effect data with forecasted delivery effect data, acquire the difference of the two kinds of data and sendthe difference to the delivery decision making sub system as a feedback. The delivery decision making sub system can perform self-adaptive adjustment according to the difference and delivery decisionmaking on the next to-be-decided commodity list can be made by using the adjusted delivery decision making sub system. According to the invention, the delivery decision making sub system can be adjusted in real time according to the difference between the practical delivery effect data and the forecasted delivery effect data, so that an effect of improving commodity delivery decision making precision can be achieved.

The invention relates to the technical field of automatic driving, and provides a remote supervision method, a remote supervision device and a remote supervision system for an automatic driving vehicle. The remote supervision method is applied to a remote control center and comprises the steps of: establishing communication connection between the remote control center and a target automatic driving vehicle in response to a remote supervision request sent by a user; determining a target remote supervisor suitable for supervising the target automatic driving vehicle; acquiring vehicle driving related information and ADS decision-making information from an ADS of the target automatic driving vehicle based on the communication connection; acquiring supervision data from the target remote supervisor remotely supervising the target automatic driving vehicle in response to the vehicle driving related information and ADS decision-making information; and transmitting the supervision data to theADS. The remote supervision method, the remote supervision device and the remote supervision system enable the remote supervisor to be able to intervene in the driving of the ADS, facilitate the improvement of the confidence coefficient of a user for the automatic driving vehicle, and is conductive to improving the decision-making accuracy of the ADS.

The invention relates to the technical field of automatic driving, and provides a remote driving request method and device for an automatic driving vehicle, and a user terminal. The method is appliedto the user terminal and comprises steps of sending a remote driving request to a remote control center; receiving an automatic driving vehicle list and a remote operator list fed back by the remote control center in response to the remote driving request; determining a target autonomous vehicle from the autonomous vehicle list and a target remote operator from the remote operator list in responseto user selection, and generating the driving confirmation information based on the determination; and sending the driving confirmation information to the remote control center to enable a target remote operator to perform remote driving and/or remote supervision. The method is advantaged in that a remote operator can intervene in the driving or supervision of the automatic driving vehicle, and thereby improvement of confidence of the user for the automatic driving vehicle is facilitated, and improvement of decision accuracy of the automatic driving vehicle in a complex condition is further facilitated.

The invention discloses a method for reducing an LDPC decoding delay based on error characteristics of flash memory pages. As the manufacturing process of an MLC NAND flash memory is improved, the size of memory cells becomes smaller and coupling interference between the cells becomes stronger, as a result, a high bit error rate is caused, and the high bit error rate seriously affects the reliability of data. LDPC codes with a high error correction capability are widely used to ensure the data reliability. However, when the LDPC codes are used, an MSB page and an LSB page of the MLC NAND flash memory have unbalanced decoding delays, the decoding delay of the LSB page is higher than the decoding delay of the MSB page, and since the LSB page has a quite high bit error rate, the reading performance of an MLC flash memory is poor. According to the invention, favorable information is provided for LSB page decoding according to a decoding result of the MSB page and a save error mode so that the decoding delay of the LSB page is reduced, the decoding delay gap between the two pages is narrowed, and the reading performance of the MLC flash memory is improved.

The invention discloses an estimation method of integral multiple subcarrier frequency offset of a robust. In the method, by means of a known frequency domain training sequence in an orthogonal frequency division multiplexing (OFDM) system and the cross-correlation characteristic between a received signal and a known ideal signal, a channel frequency domain response is obtained by descrambling; and after time frequency domain conversion, an offset value of the integral multiple carrier frequency offset is judged according to the amplitude value of the obtained channel time domain pulse response. The estimation method can realize full multiplexing of a fast Fourier transform (FFT) module in the OFDM system and is slightly affected by multi-path channel attenuation; and the estimation method has the characteristics of simple implementation, high judgment accuracy and the like, thus being applicable to any OFDM communication system with the training sequence.

A decision tree based processing system implements a decision tree data structure to process publicly available files, such as websites suspected to contain data generated by a data transaction processing system which may be constantly fluctuating and varying. The data transaction processing system generates the data based on processing electronic data transaction request messages received over a network.

The invention relates to a method for deciding color number and a representative color value based on a picture quality limiting condition. In the method, an image processing method which is characterized by having an initial color estimating means, a representative color value calculating means, a picture quality evaluating means and a color number adjusting means is adopted; in the step of calculating the representative color value, image processing equipment comprises a control module, input equipment and display equipment which are used for processing images, wherein a controller comprisesan interface module, an image preprocessing module, a region demarcation part, a region distinguishing module, a compression module and a compound document generating module. The image preprocessingmodule is used for receiving image data, preprocessing the data and then sending the data to the region demarcation module; the region demarcation module is used for generating the data read from theimage preprocessing module into communicated rectangular regions; the region distinguishing module is used for evaluating the picture quality and distinguishing a character/line region and a continuous tone image region according to the image data of the communicated rectangular regions; and the compression module is used for compressing by different compression methods according to distinguishingresults.

A fan motor control device configured to control driving of a fan motor for cooling a CPU includes: a rotational speed sensor configured to detect a rotational speed of the fan motor; and an abnormality decision control unit configured to execute an abnormality decision mode of repeatedly switching between on and off of power supply to the fan motor during an operation of the CPU, and determine abnormality of the fan motor based on the rotational speed of the fan motor during the execution of the abnormality decision mode.

The present invention discloses a non-invasive blood pressure measurement apparatus and a safety protection method. In addition to a main pressure measurement circuit and a main microprocessor circuit, the measurement apparatus also includes an independently disposed assist pressure measurement circuit and an independently disposed assist microprocessor circuit. In normal measurement, the assist microprocessor circuit periodically samples a cuff pressure via the assist pressure measurement circuit, and compares the measured cuff pressure with a specified overpressure protection value, and if the cuff pressure exceeds the specified overpressure protection value, the assist microprocessor circuit outputs a control signal to open a deflation valve until the pressure falls to below the safety pressure. Compared with the prior art, the method for overpressure protection of the present invention is more direct and has higher accuracy of decision, leading to higher reliability of the overpressure protection and higher safety of the measurement apparatus.