760results about How to "Avoid misjudgment" patented technology

The invention discloses a method for quickly and accurately detecting and tracking a human face based on a video sequence, which relates to the technical field of mode identification. The method comprises the following steps of: 1, extracting a video frame image from a video stream; 2, preprocessing the video frame image, namely compensating light rays, extracting skin color areas, performing morphological processing and combining the areas; 3, detecting the human face, namely representing the human face by using Harr-like characteristics and detecting the human face by using a cascaded Adaboost algorithm with an assistant decision function; 4, establishing the characteristics of the human face, namely detecting the area characteristics of the detected human face and the shape characteristics of the edge profile of the human face; 5, tracking the human face, particularly tracking the human face by using a human face area characteristic model when an intersection does not occur in a human face area, and further matching when the intersection occurs according to the shape characteristics of the edge profile of the human face; and 6, extracting the sequence of a human face image. By the technical method, the human face can be detected and tracked quickly and accurately on the basis of the video sequence.

An abnormality determining apparatus is capable of avoiding mistaken determinations due to the normal value of information obtained by an information obtaining unit differing according to the content of specific information such as the operating mode setting, and deterioration of the determination precision due to a change in the user of a detection subject. The abnormality determining apparatus comprises an information storage unit for storing normal index information serving as an index of a normal state of the detection subject, an information obtaining unit for obtaining a plurality of types of information, and an abnormality determining unit for determining the presence of an abnormality in the detection subject on the basis of the normal index information stored in the information storage unit, and the information obtained by the information obtaining unit. The information storage unit stores a plurality of normal index information having different values. The abnormality determining unit selects, at a predetermined timing, normal index information to be used to determine the presence of an abnormality in the detection subject from the plurality of normal index information.

The invention provides an inter-class variance MODIS forest fire point detection method, which comprises the following steps: pretreating original data required from an MODIS satellite receiving station, acquiring brightness temperature or reflectivity of each channel, and excluding illegal data; identifying image elements of cloud and water; identifying a smog mask; extracting potential fire points from excluded image elements of the cloud, the water and the illegal data; calculating inter-class variance yield of each potential fire point and effective background image elements in a background window; verifying fire points according to the threshold value of the inter-class variance and the smog mask; and outputting an MODIS image containing the fire points. By adopting lower threshold value, the potential fire points comprise true fire points as well as comprise certain false fire points of which the underlying surfaces have higher temperature so as to avoid omission; the threshold value of the inter-class variance is adopted to judge and remove the false fire points so as to prevent from being misjudged; moreover, information of the underlying surfaces around the fire points is considered fully, so that the method can adapt to different areas and seasons.

The invention discloses an automatic test system for a digital integrated circuit. The automatic test system is composed of a tested chip, a test interface board, an integration module, a test module, a control module, a display module and an upper computer. The control module is connected with the upper computer. The test module is connected with the control module. A base pin of the tested chip is connected with the test interface board which is connected with the test module. The integration module is connected with the test module and the upper computer. The display module is connected with the control module and displays a waveform after final comparison by the aid of upper computer software, so that the automatic test for functions and performance of the chip is completed. The automatic test system is low in cost, easy to implement under laboratory conditions, easy and convenient to operate, high in development rate and capable of meeting the test requirements of small-batch products. According to the system, through an automatic test, the problem that operation is complex due to the fact that the number of test items is large in a manual test is solved, the test efficiency is enhanced, a misjudgment caused by artificial factors in the manual test is avoided, and therefore test quality is improved.

The invention relates to the testing field, which discloses a method and a device of surface detection of defect, the method includes the following steps: acquiring an original surface image; calculating gradient values of every pixel point of the original image along multiple directions respectively, taking a maximum value therein as a new gray value of the pixel point, obtaining a gradient image; if the gray value of the gray value pixel point is greater than the threshold value, then the gray value is evaluated as: the first gray value, otherwise is evaluated as: the second gray value, obtaining a binary image; refining the binary image, obtaining a single wired binary image, wherein, the single wired defective edge is included; converting the single wired defective edge into a close looped defective edge; in the original image, comparing the gray values between the pixel point in the close looped defective edge and the pixel point nearby the outside, if less than, the defect of the close loop is judged as surface defect. Using the technical scheme can achieve the automatic detection of defects in the tested object, which improves the testing efficiency.

The invention discloses a double-axis geomagnetic stall detecting method and a double-axis geomagnetic stall detecting device. The method comprises the following steps: reading the current geomagnetic flux density data in two directions in real time, wherein one direction refers to a direction that a vehicle enters a garage, and the other direction is perpendicular to the ground downwards; acquiring the fluctuating value of a data sequence corresponding to each direction based on the geomagnetic flux density data which are read in the two directions in real time, wherein the data sequence consists of multiple geomagnetic flux density data; judging whether a vehicle is parked in a stall according to the fluctuating value of the data sequence corresponding to each direction and preset judgment threshold values. The method disclosed by the invention has the advantages of easiness in technical realization, low cost and high detection accuracy.

The invention discloses an integrated docking and adding device. The integrated docking and adding device comprises a driving part and a driven part, and a layout form of a center and a periphery in a circle is adopted; a center rod is flexible, and after soft docking is realized, three groups of rigid rods uniformly distributed at the periphery are in rigid connection; when the initial docking of the flexible center rod is completed, and declination of two spacecrafts in the pitching/yaw direction is corrected, declination of the spacecrafts at lateral (radial) positions is corrected; when the initial docking of three side rods is completed, the rotating declination of the two spacecrafts is corrected, and the rigidities of the two connected spacecrafts are provided; the center rod has functions of limitation and control in extending movements and retracting movements, and after the center rod extends in place, a feedback signal is provided by a Hall proximity switch; the center rod and peripheral rods are unlocked by electromagnets. According to the integrated docking and adding device, the Hall proximity switch is arranged at the top end of the flexible rod, so that an erroneous judgment of locking is prevented, and a driven end is guaranteed to be passive.

The invention discloses an internet-based user access behavior digital marketing system and method. The digital marketing system comprises an advertisement cheating flow screening module, an advertisement user classification identification module and an advertisement release channel optimization module. According to the system and the method, real flow is identified by analyzing access behaviors of users, index values reflecting the user behaviors are classified and analyzed to establish a classification rule, and a classified user group is subjected to tag identification, so that really valuable customers are found and the misjudgment of the user behaviors in a redirected release process is avoided. Due to effective assessment of release channels, advertisements can be released to potential customers with high efficiency and low cost, and the problem that the release cannot be realized due to price fluctuation during real-time bidding of the redirected release process is avoided.

The invention provides a segmentation self-adapting hill climbing method and a system thereof applied for tracing maximum power of a photovoltaic cell. The method comprises: finding the zone of the current power by partitioning the output power of the photovoltaic cell and comparing power difference of two adjacent moments with a set value; then, adjusting duty cycle to measure the power of the next moment until the maximum power point is found. The system of the invention comprises a photovoltaic cell, a DC/DC converter and a plumbic acid storage battery which are connected by circuits in sequence, wherein, a circuit between the DC/DC converter and the plumbic acid storage battery is provided with a voltage detecting module and a current detecting module, the output ends of the voltage detecting module and the current detecting module are respectively connected with a microprocessor, and the output end of the microprocessor is connected with the DC/DC converter via an isolation/ driving circuit. The invention quickens the tracing speed of the maximum power point, improves the anti-interference performance of the system, quickens the self-optimizing process of the maximum power point of the system and decreases the oscillation of the system at the maximum power point.

The invention discloses a data index exception monitoring method and system, a storage medium and electronic equipment. The data index exception monitoring method comprises the following steps that: obtaining a data index which needs to be monitored and the historical data of an associated data index corresponding to the data index which needs to be monitored; according to the data index which needs to be monitored and the historical data of the associated data index, generating a scatter diagram; according to the data index which needs to be monitored, the historical data of the associated data index and the scatter diagram, through a quantile regression algorithm, selecting an upper tail, a lower tail and a median, and taking the upper tail, the lower tail and the median as parameters togenerate a learnt monitoring sample model through machine learning; and comparing a data difference between the data index which is obtained in real time and needs to be monitored and the monitoringsample data, and carrying out exception detection on the data index which needs to be monitored, wherein the exception detection on the data index which needs to be monitored comprises exceptional fluctuation point detection and exceptional fluctuation tendency detection.

The invention discloses an audio test system and an audio test method for a to-be-tested device. The audio test method for the to-be-tested device comprises that: a test audio is sent through a sound-sending end of the to-be-tested device, the to-be-tested device is controlled to conduct sound recording through a sound-receiving end by a control device to produce a to-be-tested audio, the to-be-tested device is controlled to broadcast the to-be-tested audio from one of two side sound-sending ends by the control device after the sound recording is finished so as to conduct the sound recording through the a test sound-receiving end, an audio analysis program is called to produce a first test result, the to-be-tested audio is broadcasted from the other of the two side sound-making ends so as to conduct the sound recording through the test sound-receiving end, and the audio analysis program is called to produce a second test result. Therefore, the audio test method for the to-be-tested device can be used for executing an automatic test to eliminate complex testing steps and details.

Discharge current of a battery is measured through a resistance cascaded in discharge loop of the battery. Released capacity of the battery is determined through method by using microprocessor in portable device to carry out integral of discharge current on time. Thus, residual capacity can be determined through comparison between rated quantity of electricity of full charged battery and the released capacity of the battery. Features are: convenient, accurate so as to give corrective determination for capacity of batteries.

The invention discloses a data-driven small watershed real-time flood forecast method comprising the following steps: (1) constructing a delay time sequence and a mean time sequence based on rainfall and river flow data; (2) calculating the grey relevance between the time sequences, and selecting the higher-correlation time sequence as modeling sample data; (3) modeling input-output data by use of a machine learning algorithm to get forecast models and a fitting value; (4) calculating the weight of each forecast model based on the information entropy theory; and (5) forecasting the river flow by use of the forecasting models, and performing weighted calculation on single-model forecast results to get a forecasted value of river flow. According to the invention, the complex nonlinear mapping relationship of small watershed flood is simulated by making full use of rainfall and river flow data, the information in the data is mined, and therefore, the accuracy of real-time small watershed flood forecast is improved.

The invention belongs to the technical field of an internal-combustion engine and relates to an on-line diagnosis and control method for knockings of the internal-combustion engine. The on-line diagnosis and control method comprises the following steps: utilizing a sensor for a pressure in a cylinder and a photoelectric encoder to synchronously determine a crank angle signal of the pressure in the cylinder of an engine; analyzing by introducing the determined signal into an on-line diagnostic processor for the knockings of the engine; adjusting a work load of the engine, so as to cause the engine to work in a low-speed heavy-load work area in which the knockings are easy to generate; on-line comparing an analysis result of the processor and judging whether a pressure peak under each crank angle, a rise rate of the pressure in the cylinder, an oscillating feature of the pressure in the cylinder and a frequency feature of a knocking center exceed respective preset knocking threshold values or not; confirming whether the engine is subjected to knockings or not according to a final diagnosis result; and if the engine is subjected to knockings, timely adjusting the parameters of angular advance for engine ignition, air-fuel ratio, and the like, through EGU, and performing feedback control till the knockings are eliminated. According to the on-line diagnosis and control method for the knockings of the internal-combustion engine, the problem of the knockings of the modern internal-combustion engine is effectively identified and restrained under the conditions of promoted fuel economy and reduced low-emission of the internal-combustion engine.

The invention discloses a method for detecting internal leakage of a multi-cavity valve. The method comprises the following steps that the valve to be detected is placed on a sealing board, and the sealing board seals and covers openings of cavities of the valve; sealing rods are inserted into and seal valve element holes in the two sides of the valve to be detected so that oil channels between the cavities in the valve can be sealed, and the cavities can be sealed independently; the cavities are inflated and deflated; the state of the valve to be detected in actual operation is simulated, pressure maintaining is completed within the set time, a leakage value is detected through an airtight instrument, and then the leakage situation of the cavities can be obtained. The invention further discloses a device for detecting internal leakage of the multi-cavity valve correspondingly. The operation of manually assembling valve elements can be omitted, and leakage detection and series leakage detection are carried out on the oil channels of the multi-cavity valve automatically. Meanwhile, labor intensity of workers is relieved, and stability of detection quality is improved.

An apparatus for determining a failure of wheel speed sensors, which is capable of properly determining whether or not a wheel speed detection system including the wheel speed sensors has failed, if at least a wheel speed detected by the wheel speed sensors indicates a stopped state of a corresponding wheel. An engine rotational speed is detected, and an input-output rotational speed ratio of a torque converter of an automatic transmission mounted in the vehicle is calculated. A shift range of the automatic transmission is detected. Whether or not the vehicle is traveling is determined based on the engine rotational speed and the input-output rotational speed ratio when the automatic transmission is in a traveling range. It is determined that the wheel speed detection system including the wheel speed sensors has failed, if it is determined that the vehicle is traveling, and at the same time, at least one of wheel speed sensors indicates a stopped state of a corresponding one of the wheels.

The invention belongs to the technical field of air conditioners and particularly relates to an indoor unit anti-freezing control method for an air conditioner and the air conditioner. By means of theindoor unit anti-freezing control method for the air conditioner and the air conditioner, the problems that it is difficult for an existing air conditioner to accurately judge the freezing conditionof an indoor unit based on the temperature of an inner coiled pipe, and accidental errors are prone to occurring in an existing point sampling judgment method are solved. The indoor unit anti-freezingcontrol method comprises the steps that when the air conditioner is in a refrigeration working condition, the current average values of a primary indoor fan are obtained every other preset time interval; the degree of attenuation of every two adjacent current average values of the indoor fan is figured out; and whether to set the air conditioner to be in an indoor unit anti-freezing mode is judged according to the degree of attenuation. The current average values of the indoor fan are adopted as foundation parameters, judgment is conducted according to the degree of attenuation of every two adjacent current average values of the indoor fan, accordingly misjudgment caused by the fluctuation phenomenon of fan currents is effectively avoided for the air conditioner, and then judgment accuracy is effectively improved.

A slippage detection system for a continuously variable transmission capable of continuously changing a ratio between a speed of rotation of an input member and a speed of rotation of an output member is provided. The slippage detection system calculates a correlation coefficient relating to the input rotation speed and the output rotation speed, based on a plurality of measurement values of the input rotation speed and a plurality of measurement values of the output rotation speed, and determines slippage of the torque transmitting member in the continuously variable transmission based on the calculated correlation coefficient.

The invention discloses an intelligent limit intrusion monitoring system and a monitoring center database. The intelligent limit intrusion monitoring system comprises a data acquisition system, a monitoring center, an integrated management platform and an intelligent alarming device. The data acquisition system is used for acquiring state monitoring data in a monitoring region. The monitoring center is in communication connection with the data acquisition system and is used for analyzing the state of a monitoring objective in the monitoring region and determining an alarming objective and the danger level of the alarming objective in real time according to the state monitoring data and triggering corresponding guard signals according to the danger level. The integrated management platform is connected with the data acquisition system and the monitoring center and used for monitoring and managing on-site monitoring equipment of the monitoring region in a centralized manner. The intelligent alarming device is in communication connection with the monitoring center to achieve linkage and is used for giving out an early warning or an alarm according to the guard signals. Thus, by means of the intelligent limit intrusion monitoring system and the monitoring center database, natural disasters, unexpected accidents, unlawful entry and other foreign body limit intrusion events endangering safety operation of a railway can be accurately monitored, pre-warned and alarmed in time.

The invention discloses a hotspare method and a system suitable for a device for processing and forwarding an IP media stream in real time. The method comprises the following working steps that: (1) two devices are simultaneously accessed to a network, wherein one is configured as a main machine, while the other one is configured as a slave machine; (2) the main machine and the slave machine synchronously operate and simultaneously process the IP media stream; the main machine processes, forwards and outputs the IP media stream; the slave machine only processes the IP media stream without forwarding and outputting the IP media stream; (3) the main machine periodically sends a heartbeat signal to the salve machine through a heartbeat communication interface; and (4) the slave machine carries out real-time monitoring in a working state of the main machine through the heartbeat communication interface; when the slave machine detects the fault of the main machine, the slave machine immediately replaces the main machine and outputs the processed IP media stream; when the slave machine detects that main machine recovers to the normal state, the slave machine immediately stops outputting any IP media stream; and the main machine takes charge of the processing and the forwarding of the media stream again. According to the method and the system, when the main machine has the fault, the system can detect the problems and rapidly switch in time, has short response time and is in particular applicable to the hotspare requirement of IPTV and other live servers.

The invention provides an automatic LED (light-emitting diode) display screen correction method. The automatic correction method comprises the following steps: (1) network connection is established; (2) an A end sends a display instruction to a B end, the B end controls the full-screen or the specific sub-area of the LED display screen to display the image; (3) the A end controls image acquisition equipment to aim at a to-be-corrected area of the LED display screen, acquires the image data and uploads the image data to the A end for analysis and process to generate correction coefficients, a controller of the B end sends the correction coefficients to a receiving card of the LED display screen, so that the LED display screen displays the corrected full-screen or specific-area image; and (5) the image acquisition equipment acquires the image in the to-be-corrected area again, the A end analyzes point-to-point brightness, judges whether the correction effect is satisfied. By using the correction method, the correction accuracy is increased, the labor intensity is saved, and the correction time is shortened effectively.

The invention discloses a fine line loss analysis system, which comprises an intelligent line loss analysis host module and a plurality of monitoring modules connected to the intelligent line loss analysis host module. The monitoring modules are respectively arranged at a side of a distribution transformer of a station area, branch nodes of each low-voltage branch line, and the side of each user meter box. The monitoring modules are used for separately monitoring the distribution transformer side, the branch nodes of each low-voltage branch line, the metering data of each user meter box, and the metering data of each branch household meter in each user meter box. The intelligent line loss analysis host module collects the total area data of the station area and the measurement data monitored by each monitoring module in real time, and compares the received measurement data according to a hierarchical structure of a distribution network of the station area to obtain and output the lineloss analysis result. According to the fine line loss analysis system, the fine line loss analysis of the station area can be realized. The method has advantages of simple realization, low cost, highprecision, stability and reliability, and the like.

The invention relates to an apparatus for detecting fatigue state of driver before driving and detection method thereof. The detection apparatus comprises a cabinet main body, a camera installed on the cabinet, a central control processer disposed in the cabinet body, a scenario test module, a pulse instrument, a direction operating apparatus and a touch display screen disposed on the cabinet. Morphological index of the measured is obtained by the camera, a plurality of psychological index of the measured such as response capability, danger sensing ability, attention are measured through the direction operation device and the touch display screen. Physical index of the measured such as pulse frequency is measured by the pulse instrument. A determination result is given based on synthetic evaluation of the three types of index, so that the determination result is more accurate and objective in comparison with that given only from morphological index, and error determination of driver's fatigue degree is prevented.

Provided are a method, device and system for discovering a link in a software-defined network. The method comprises: sending, by a controller, a first link discovery packet to a source switch, wherein the first link discovery packet carries instance identification information corresponding to the source switch; receiving, by the controller, a second link discovery packet sent by a destination switch; and judging, by the controller, whether the instance identification information carried in the received second link discovery packet is the same as that carried in the sent first link discovery packet, and if so, determining that a link connection exists between the source switch and the destination switch. By means of the method, openflow services and traditional applications, as well as a plurality of openflow instances, can be distinguished.

The invention discloses a method and a system for realizing optical image gesture recognition, which comprises the steps as follows: firstly, a user is judged whether to input a start command or not; if yes, a command matched with the start command input by the user is actuated and timing is started; and secondly, the user is judged whether to input a gesture command or not during the process of actuating the command matched with the start command input by the user; and if yes, a command matched with the gesture command input by the user is actuated, otherwise, the first step is returned after the timing is completed. The method and the system for realizing the optical image gesture recognition can effectively solve the problem of erroneous judgment easily appeared in the optical image gesture recognition of the prior art and can prevent erroneous judgment. The invention also discloses the system for realizing the optical image gesture recognition.

In a display device with optical sensors, a recognition processing portion (22) performs recognition processing on a scan picture generated by optical sensors (2), and calculates a position. A mode control portion (24) determines whether or not the mode is standby so that the recognition processing portion (22) is stopped from operating. At the time of transition to the standby mode, decimated image memory (25) stores a decimated image with a decreased number of pixels. The mode control portion (24) performs pixel-by-pixel comparison between the stored decimated image and a decimated image supplied anew, and exits the standby mode when the number of pixels whose difference in pixel values is greater than or equal to a first threshold is greater than or equal to a second threshold. Here, the first and second thresholds are appropriately set in accordance with an ambient luminance L from a luminance sensor (20), and therefore, any change in the image can be accurately distinguished from noise, thereby preventing the standby mode from being or not being cancelled by mistake.

The invention discloses an image definition detection method. The image definition detection method comprises the following steps: acquiring image data, wherein the image data are output by a camera module according to a preset exposure gain parameter; acquiring gray values of the image data according to image data formats of the image data; calculating a mean value and a mean square error of the acquired gray values, and acquiring a maximum gray mean value and a minimum gray mean value according to the mean value and the mean square error; and calculating image definition according to the maximum gray mean value and the minimum gray mean value in order to perform image definition detection by comparing the image definition with a preset threshold value. The invention also discloses an image definition detection device which is matched with the image definition detection method, and test equipment. Through adoption of the image definition detection method and device and the test equipment, the discreteness of the image definition can be reduced, and the consistency of the camera module is improved.

The application provides a method and a device for preventing library-hit attacks. The method comprises the following steps: counting a number of login times and a login success rate of a same source IP address aiming at a to-be-protected target IP in a default cycle by a server; judging whether the number of login times is greater than a preset login threshold value or not; judging whether the login success rate is smaller than a preset success rate threshold value or not; and when the number of login times is greater than the preset login threshold value and the login success rate is smaller than the preset success rate threshold value, determining that the source IP address has library-heat attack behaviors, and performing protection treatment according to protection actions specified in a preset protection rule. Because the login success rate is introduced into the application to serve as a basis for judgment, and a protection rule is set for a same source IP, the problems of wrong judgment probably caused by concurrent login of a large number of users in a NAT environment in a related technology, and missed judgment probably caused by the library-hit attacks carried out by adopting a password library for a single user are solved.

The invention provides an accompanying object determining method and device and an electronic device, which relate to the technical field of data mining. The accompanying object determining method comprises the following steps: obtaining a destination point of the target object according to a travel path of the target object; acquiring a travel point in the travel path, and determining an object passing through the travel point as an object to be confirmed; selecting an object to be confirmed having the same destination point as the object as an object data set; according to the object data set, determining a first concomitant object set by an association analysis algorithm, thereby solving the technical problem of low accuracy of current concomitant vehicle discovery methods in the priorart.

The invention provides an integrated dynamic weighing system for rectifying illegal driving. The system comprises an integrated weighing platform used for bearing weighed vehicles which drive by, six perpendicular force sensors used for detecting perpendicular force applied on the integrated weighing platform, two horizontal force (pulling force/pressure) sensors used for detecting horizontal force applied on the integrated weighing platform, and a data acquisition controller used for processing weighing data. By installing the horizontal force (pulling force/pressure) sensors on a pull rod stop device and through the data acquisition controller for processing signals detected by the pulling force sensors and a weighing sensor, cheating vehicles are identified and final weight values is corrected. Cheating behaviors such as jumping pounds, S shape, snub and the like are inhibited effectively. Thus, vehicle weighing accuracy is raised. The invention provides an integrated dynamic weighing method for rectifying illegal driving. According to the method, vehicle weight is calculated by difference, axial position computing method and integral axis group weight algorithm.