47results about How to "Accurate threshold" patented technology

To measure or exert optically-induced forces on at least one particle in the focus of an optical cage, the following steps are taken:

• • a) the focus is positioned in a microelectrode arrangement with a three-dimensional electrical field that has a field gradient which forms an electrical capture area, and the focus is at a distance from the capture are and
  • b) the amplitude of the electrical field, the light power of the light beam forming the optical cage, and/or the distance of the capture area from the focus are varied to detect which varied field property moves the particle from the focus to the capture area or vice versa, or at least to temporarily move the particle into the capture area.

The invention discloses an improved constant false alarm rate detecting method for a ship-borne linear frequency modulation continuous wave radar and belongs to the field of signal processing. The method includes: the maximum value of each Doppler channel energy after Doppler treatment of each distance unit is used as the input of a two-dimensional reference window; judgment is performed twice, targets and backgrounds are preliminarily distinguished through the first judgment, and before the second judgment, the units judged as the targets by the first judgment are removed during energy average value calculation of the distance units. Compared with traditional CA_CFAR, the method has the advantages that the defect of mutual shielding of adjacent targets is overcome, the advantage of low calculation complexity of the traditional CA_CFAR is kept, and both detection performance and software-hardware implementation cost are considered.

The invention discloses a fabric defect detection method based on optical threshold segmentation. The method comprises two parts, i.e., an optimal threshold selection part and an image segmentation part. The optimal threshold selection part specifically comprises the following steps: step 1, randomly selecting a gray value as a segmentation threshold, step 2, according to the threshold, dividing an image into two types, step 3, solving the gray scale total mean value of the gray scale mean value of each type of image and the image, step 4, solving a between-class variance and an inter-class variance of the two types, step 5, calculating a weight, and step 6, calculating an optimal segmentation threshold according to a discrimination formula. The image segmentation part is carried out on the basis of the optimal threshold selection part. The gray value of each pixel point in the image is compared to the optimal threshold, 225 is taken as a gray value which is greater than the threshold, and 0 is taken as a gray value which is smaller than the threshold, such that the image can be divided into a background part and an object part. According to the invention, during segmentation threshold selection, the between-class variance of pixels is considered, an inter-class distance is also introduced, and the weight is employed for reinforcement, so that the calculated threshold is more accurate, the defects of a fabric image can be accurately detected, and the segmentation effect of a complex texture image is improved.

Pressure sensitive transducer assembly that includes a force sensing resistor. The force sensing resistor includes: first and second substrates; at least a first and a second electrically conductive traces on the inner surface of the first substrate including interdigitated fingers defining a sensitive area; and a resistive layer facing the sensitive area. The force sensing resistor includes an auxiliary trace on the inner surface of the first substrate connecting the first trace to the second trace through a constant resistance that is not dependent on the force applied to the substrates. The constant resistance being of a value largely greater than the value of the variable resistance which can be measured indirectly between the fingers when an external force is applied to the substrates. A system and a control method are also proposed.

A printing device includes a print head having a plurality of nozzles capable of ejecting ink on a print medium and of forming one or more types of ink dots on the print medium; an ink dot setting unit that determines an ink dot setting for each pixel of image data by comparing a gradient of the each pixel with, from among thresholds in a matrix for each of respective pixels, a threshold corresponding to the each pixel of image data; a print head controller that controls ejection of ink from each nozzle of the print head on the basis of an ink dot setting determined by the ink dot setting controller; and a threshold matrix correction unit that corrects a predetermined threshold of the matrix depending on ink output characteristics of each nozzle of the print head.

The invention discloses a water body water color abnormity identification method and device based on time sequence remote sensing images, and belongs to the field of water environment pollution monitoring. The method comprises the following steps: preprocessing a multi-time-sequence remote sensing image to obtain water body remote sensing reflectivity images with different time sequences; performing spectral statistical analysis on the remote sensing reflectivity image to obtain water body pixel statistical characteristic values of different wave band long-time sequences, and establishing different wave band reference characteristic values and pixel characteristic values; making a spectral characteristic analysis on the to-be-detected remote sensing image, and creating waveband characteristic values of different wavebands; preliminarily judging whether the to-be-detected image has abnormal water color or not by comparing the wave band characteristic value of the to-be-detected image with the corresponding wave band reference characteristic value; analyzing the wave band with the abnormal water color of the to-be-detected image pixel by pixel, comparing the wave band with the pixelcharacteristic value of the corresponding wave band, obtaining the spatial distribution pixel of the abnormal water color, and obtaining the spatial distribution of the abnormal water color of the water body. According to the invention, the water color abnormity identification precision and speed of the water body are improved.

The invention discloses a threshold alarm method and device, computer equipment and a storage medium, and belongs to the technical field of computers. The method comprises the following steps: obtaining historical business data before a current time point every other preset period; analyzing the historical business data by adopting a non-parameter statistical inspection method on the basis of an arrangement sequence of probability distributions in a preset probability distribution list; when the historical business data obeys any one type of probability distribution in the preset probability distribution list, obtaining a confidence interval of a specified probability according to a distribution rule of any one type of probability distribution; and when it is detected that the service data obtained in real time is not in the confidence interval, sending alarm information. The threshold value is determined according to the probability distribution condition of the historical service data, a theoretical basis is provided, the actual condition of the service is fitted, and the determined threshold value is more accurate due to the fact that no human factor interference exists in the threshold value determining process, so that the threshold value alarm information is more accurate.

The invention discloses a high-precision rapid graph detection and identification method, which is characterized in that the high-precision rapid graph detection and identification method adopts machine vision to carry out seven steps of image shooting acquisition, image enhancement preprocessing, edge detection, key point selection, curve fitting, attribute parameter operation and graph reconstruction on a workpiece graph. The method is suitable for workpiece graph detection, recognition and reconstruction in the field of intelligent manufacturing.

The invention provides a digital identification system and a method for serial numbers of a name plate of a camera, belonging to the technical field of digital identification. The digital identification system for serial numbers of the name plate of the camera is characterized by comprising a USB camera arranged above the name plate of the camera to be identified, and the USB camera is connected with a computer by a USB connection wire, wherein the computer is provided with an evaluation program communication module, a video capture and image capture module as well as an image processing and digital identification module which are sequentially connected. The invention adopts digital image identification technology to identify the serial numbers on the name plate, then the serial numbers are compared with the numbers read out from a memory by the testing program, and judgment is made so that the reliability of the operation is improved.

A breathing system for ventilating a patient has a gas channel enclosing a gas channel volume (V), and a compliance (C). The system has a flow calculation unit operative to determine a gas flow estimate (Fe) at a flow estimate location in the gas channel. The gas flow estimate (Fe) is based on a relationship between a monitored gas flow (Fm) in the gas channel and a compressible gas flow (Fc) which depends on the compliance (C) in the gas channel. The monitored gas flow (Fm) is a gas flow at a monitoring location in the gas channel and the compressible gas flow (Fc) is a flow of gas in the gas channel between the flow estimate location and the monitoring location, and the flow estimate location is remote from the monitoring location.

The invention discloses a solar panel cleaning system based on machine vision. The method comprises the following steps: step 1, collecting on-site solar panel photos, and uploading the photos to an upper computer through WIFI; step 2, performing multi-dimensional feature vector extraction on the photosby an upper computer program; step 3, calculating the Euclidean distance between the multi-dimensional feature vector and each predetermined clustering center; step 4, comparing the minimum Euclidean distance with a predetermined threshold value of the category; step 5, enabling acleaning robotto complete the task and feed back the task to the upper computer; step 6, enabling the upper computer to send the completed signal to a database through WIFI; and step 7, enabling the database to clear away a to-do task and check whether the to-do task exists at the moment, if yes, sending the data to the upper computer program again, executing the step 2 and otherwise, finishing the whole closed-loop process. The cleaning of the solar panel is effectively realized, and power generation efficiency is improved.

The invention discloses a denoising method for a fault vibration signal of an aeroengine rotor system. The method comprises the steps that an anti-vibration vibration signal of an aeroengine rotor iscollected, and repeated row filtering processing and threshold value optimalizing are carried out on the signal; the suboptimal solution found by particle swarm optimization through iterative optimization is assigned to the initial solution in a tabu search algorithm; the fitness value is calculated; by continuously searching the neighborhood of the initial value; and a taboo table and a special pardon criterion are flexibly used at the same time, so that the tabu search algorithm can accept some low-quality inferior solutions to a certain extent. The algorithm is prevented from falling into local extremum. The global optimization ability of the algorithm is enhanced. The problem that particle swarm optimization slows down at the later stage is effectively solved. In comparison, although the convergence speed of hybrid particle swarm optimization has a certain decline, a group is effectively prevented from falling into the local optimal solution too early. The possibility of finding the global optimal solution for the group is improved. The optimization performance of the algorithm is improved as a whole.

The invention relates to a device for distinguishing ureters and blood vessels. The device comprises a handle and a clamping body arranged at the front end of the handle, the clamping body comprises clamping handles and a clamping head, the upper part and the lower part of the outer side of the clamping head are respectively provided with the clamping handles, the inner side of the clamping head is provided with arc-shaped rubber pads which fit the clamping head in a up-down corresponding manner, and detection units are correspondingly arranged in the rubber pads respectively; a display screenand a switch are arranged on the handle, and a power supply and a processing unit are arranged in the handle. The invention also relates to a method for distinguishing ureters and blood vessels. Themethod comprises the following steps: a tube to be tested is clamped; a single-chip microcomputer controls a first light source to sequentially emit incident light, a first photoelectric detector detects the light intensity of reflected light, and a second photoelectric detector detects the light intensity of transmitted light; the obtained light intensity is converted into a digital signal and sent to the single-chip microcomputer; and the single-chip microcomputer analyzes and processes the light intensity, judges that the tube to be tested is a blood vessel or a ureter, and performs calibration. The invention realizes accurate discrimination of blood vessels and ureters in a human body.

The embodiment of the invention provides a method and device for determining a threshold value. The method comprises the following steps: the historical data is acquired, the threshold value corresponding to the historical data is determined according to the historical data, then the threshold value corresponding to the historical data can be used for detecting the data generated in the second preset time period, the historical data is the data generated in the first preset time period, and the first preset time period is before the second preset time period. In the embodiment of the invention, the threshold value (namely, the threshold value is determined according to the historical detection value) determined by using the data generated before the second preset time period is used for detecting the data generated in the second preset time period, so that the threshold value can be more accurate, and the accuracy of a detection result is improved.

The invention discloses a method for predicting future signals of wireless communication by using an echo state network. The method comprises the following steps: 1) selecting and initializing echo state network parameters; 2) performing output weight training; 3) predicting future signals and code elements; 4) calculating the decoding threshold of the current symbol; and 5) iteratively predictinga future signal for decoding more sign bits, adopting offline training, and keeping an output weight Wout obtained by training unchanged in subsequent signal prediction; and predicting the next symbol, and decoding more symbol bits. The method provided by the invention is simple, convenient and feasible, can more effectively resist intersymbol interference caused by multipath transmission, reduces the bit error rate in communication transmission, and effectively improves the communication performance.

The invention discloses a target position threshold determination method, apparatus and device, and a storage medium. The target position threshold determination method comprises the following steps:obtaining coordinates of a target position in an image; determining a sub-region where the target position is located in the image; and calculating a threshold value of the target position by utilizing the coordinates and a relationship between the coordinates corresponding to the sub-regions and the threshold value. According to the technical scheme, the threshold value of the target position iscalculated through the relation between the coordinate of the relatively small area and the threshold value, so that the calculated threshold value is more accurate and closer to a nonlinear optimal solution.

The invention relates to a method and a device for controlling a vehicle door lock, a storage medium and electronic equipment and a vehicle. The method comprises the following steps: acquiring environmental images, including a target, around the vehicle door; acquiring target parameters of the target according to the environment images; setting the door lock state of the door lock in a first stateaccording to the target parameters and a door lock control parameter threshold value prestored by a cloud server, wherein the door lock state comprises an open state or a close state of the vehicle door lock; receiving a control command of the vehicle door lock of a user, wherein the control command is used for indicating the door lock state of the vehicle door lock in a second state; determiningwhether the second state indicated by the control command is equal to the first state or not; and when the second state is different from the first state, sending update information to the cloud server, wherein the update information comprises the target parameters and the second state, so that the cloud server updates the door lock control parameter threshold value according to the update information.

The embodiment of the invention discloses a proximity sensor threshold updating method and device, and a terminal. The method comprises the following steps: when a proximity sensor is detected to be located in a departure state, recording proximity values continuously collected by the proximity sensor and accumulating the continuous collection times; if the continuous collection times reach preset times, updating the threshold of the proximity sensor according to the recorded proximity values; when the proximity sensor is detected to switch from the departure state to a proximity state, resetting the continuous collection times so as to accumulate the continuous collection times and record the proximity values again when the proximity sensor is in the proximity state; and if the re-accumulated continuous collection times reach the preset times, updating the threshold of the proximity sensor based on the re-recorded proximity values. By adoption of the proximity sensor threshold updating method and device disclosed by the embodiment of the invention, the threshold of the proximity sensor can be accurately set, the problem of screen control inaccuracy is solved, and the problem of inaccurate threshold setting caused by the influence of oil contamination to the proximity sensor is avoided.

A method of detecting a ligature on a door is provided whereby the load applied by the door to a load sensing means and the movement of the door relative to the door frame are used to determine whether a ligature is being applied to the door to thereby trigger an alarm. Apparatus for carrying out the method is also provided.

The invention discloses a CJY4/30 type methane oxygen measuring device including a shell body; the shell body is internally provided with a circuit main board, a battery, a methane Wyeth electrical bridge, an oxygen wyeth electrical bridge, an A/D converter, a single-chip microcomputer, a digital tube, alarms and a wireless module; the alarms include an acoustic alarm, a light alarm and a vibration alarm. The measuring device has the advantages of stable performance, accurate door limit, rapid response, and high precision; a use method adopts a humanized design and a soft adjusting technology, and is simple to operate and easy to use; an outer shell of the measuring device adopts an ABS high-strength all-plastic structure, a touch-tone electronic thin film switch having high sealing performance is matched, a four-bit highlighted red digital tube is adopted for displaying, a sound, light and vibration combined type alarming mode is adopted, the alarming effect is more obvious and better, and the measuring device is novel in structure, unique in modeling, small in size, light in weight and easy to carry; and at the same time, a wireless transmitting-receiving module is equipped, and patrol data are uploaded.

A carburization sensing method according to the present invention includes: a first procedure of attaching a magnetic material to a reference material which has equivalent electromagnetic properties to those of a test material and is not carburized, a second procedure of measuring magnetic strength of each magnetic material and to acquire an electromagnetic test output value for each magnetic material, a third procedure of calculating a correlation between the measured magnetic strength value and the electromagnetic test output value, a fourth procedure of measuring magnetic strengths on a plurality of carburized materials, a fifth procedure of calculating a correlation between a carburized depth and the measured magnetic strength value, a sixth procedure of determining a threshold value Th2 of the measured magnetic strength value corresponding to a threshold value Th1 of the carburized depth to be sensed, a seventh procedure of determining a threshold value Th3 of an electromagnetic test output value corresponding to the threshold value Th2 of the measured magnetic strength value, and an eighth procedure to sense whether carburization occurs or not in a test material based on the magnitude correlation between the electromagnetic test output value of the test material and the threshold value Th3 of the electromagnetic test output value.

The invention relates to CTH1000-8A-carbon monoxide measuring equipment which comprises a housing, wherein a control circuit board, a power supply, a carbon monoxide sensor, an A/D converter, a singlechip microcomputer, a display, an alarm and a wireless transceiving module are arranged in the housing; the alarm comprises an acoustic alarm, a light alarm and a vibrating alarm; the measuring equipment is steady in performance, accurate in threshold, quick in reaction, high in precision, unique in modeling, small in size, light in weight, convenient to carry, simple to operate and convenient to use, and adopts humanized design and soft control technology; the housing of the alarm adopts an ABS high-strength all-plastic structure and is equipped with a touch-tone electronic membrane switch with high sealing performance; a four-digit high-brightness red Nixie tube is adopted for display, a sound, light and vibration combined alarm mode is adopted; the alarm is clear and obvious; the alarm effect is more obvious and better; and a wireless transceiving module is arranged so as to upload patrol data.