455results about How to "Improve accuracy and reliability" patented technology

A method and computer-based apparatus for monitoring the degradation of, predicting the remaining service life of, and/or planning maintenance for, an operating system are disclosed. Diagnostic information on degradation of the operating system is obtained through measurement of one or more performance characteristics by one or more sensors onboard and/or proximate the operating system. Though not required, it is preferred that the sensor data are validated to improve the accuracy and reliability of the service life predictions. The condition or degree of degradation of the operating system is presented to a user by way of one or more calculated, numeric degradation figures of merit that are trended against one or more independent variables using one or more mathematical techniques. Furthermore, more than one trendline and uncertainty interval may be generated for a given degradation figure of merit/independent variable data set. The trendline(s) and uncertainty interval(s) are subsequently compared to one or more degradation figure of merit thresholds to predict the remaining service life of the operating system. The present invention enables multiple mathematical approaches in determining which trendline(s) to use to provide the best estimate of the remaining service life.

Provided is a biochemical analyzer in which a microfluidic biochemical assay may be performed. The analyzer includes: a microfluidic device loading space including a microfluidic device supporting unit detachably supporting a microfluidic device including an energy application region in which an energy is applied; an energy source loading space including an energy source applying the energy to the radiation application region; and an isolation wall isolating the microfluidic device loading space and the energy source loading space to prevent heat transfer between the microfluidic device loading space and the energy source loading space and including a window through which the energy can be transmitted. A method of controlling an internal temperature of the biochemical analyzer is also provided.

The present invention is directed at modifying digital images of faces automatically or semi-automatically. In one aspect, a method of detecting faces in digital images and matching and replacing features within the digital images is provided. Techniques for blending, recoloring, shifting and resizing of portions of digital images are disclosed. In other aspects, methods of virtual “face lifts” and methods of detecting faces within digital image are provided. Advantageously, the detection and localization of faces and facial features, such as the eyes, nose, lips and hair, can be achieved on an automated or semi-automated basis. User feedback and adjustment enables fine tuning of modified images. A variety of systems for matching and replacing features within digital images and detection of faces in digital images is also provided, including implementation as a website, through mobile phones, handheld computers, or a kiosk. Related computer program products are also disclosed.

Radar sensor for motor vehicles, having a transmitter and receiver unit whose directional characteristic has multiple lobes, at least one of which is directed parallel to the roadway surface, at least one other lobe being directed obliquely to the roadway surface.

The invention relates to a method for predicting short-term air traffic flow based on real-time radar and flight information, which pertains to emulation of computers. On the basis of traditional prediction, real-time radar data and weather information are brought in; the radar data are directly led from an ATC system and the flight information and the weather information are led from an AFTN network. Corresponding flight models are set up according to different plane types; a flight route and specified cruising speed are obtained from a flight plan; time and speed of flying each way point, as well as when and where to pass through what controlled areas, are predicted roughly. After a plane takes off, the real-time radar data are used for amending existing prediction. During the whole way of flight, relevant upper wind data are brought in to judge the influence of wind on the flight and amend relevant flight models. A system is provided with a processing server of the flight information and weather, a processing server of the radar data, a processing server of the flow, a database and a display terminal. The invention greatly promotes correctness and reliability of flow prediction by carrying out data exchanging through ethernet network.

The invention discloses a method for monitoring motor temperature. The method comprises the following steps: arranging n temperature sensors for detecting the current temperature T of a motor, wherein, n is not less than 2; reading detection data from the n temperature sensors; and obtaining the current temperature T of the motor on the basis of the detection data from the temperature sensors which normally work in the n temperature sensors. The invention further provides a method for controlling motor power. The method comprises the following steps: obtaining the current temperature T of the motor by utilizing the method for monitoring motor temperature; judging temperature range of the current temperature T of the motor according to the current temperature T of the motor and a predetermined motor temperature range threshold; and setting the maximum output power of the motor according to the temperature range of the current temperature T of the motor. By utilizing the method for monitoring the motor temperature and the method for controlling the motor power, the current temperature of the motor can be effectively and reliably obtained, and reliably and maintenance-free performance of the motor can be improved.

The invention discloses a method and a device for inputting position information and displaying information matching. The method comprises the following steps of: acquiring a touch position detected by a touch screen on the basis of a first mode; magnifying a control input area according to preset magnitude for display when the touch position is located in the control input area currently displayed by the touch screen or in a close area within a preset distance outside the control input area; detecting the touch position in the magnified and displayed control input area on the basis of the second mode; and executing an operation corresponding to the control input area when the touch position is detected within the magnified and displayed control input area. In the touch input process of the technical scheme, the control input area on the touch screen can be firstly magnified, and then, touch input can be carried out; thus, the accuracy and the reliability of icon selection in the control input area can be effectively increased, and the problem that mistake icon selection caused by the mismatching of the touch position and the display position in the touch screen is effectively solved.

The invention discloses an intelligent acupuncture point locating device and method based on image identification. The device comprises an image acquisition device, a display unit, a voice broadcast unit, a microprocessor and a memory, wherein the image acquisition device is arranged in a probe, the output of the image acquisition device is connected with the microprocessor, the voice broadcast unit comprises a unit and an audio conversion module, and the control signal output of the microprocessor is connected with the loudspeaker through the audio conversion module. The device vividly and directly displays the acupuncture point on a human body three-dimensional (3D) model, objectively and accurately locates the acupuncture point according to the location relationship of human body skeleton, muscle, vessel, nerve, lymph or internal organs of the body and the acupuncture point, and is not influenced by the body shape difference of users, so the location result has high accuracy and reliability; and in addition, the locating steps are simple and scientific, and the device is simple to operate, convenient and safe to use, and is beneficial to the development and popularization of an acupuncture diagnosis and treatment technology.

The invention provides a music recommendation method and system based on group perspective. User characteristics and the favorite categories of songs listened to by users are analyzed according to user history logs, then user sets are divided according to the user characteristics and the favorite categories, user groups with the same general characteristics are built, and the user groups to which the users belong are analyzed; the collaborative filtering fusion algorithm is adopted to generate a recommendation song list, and the recommendation song list is pushed to the users. In the whole process, accurate user group division is carried out for a huge number of users, user interesting multidimensional perspective is achieved by deeply excavating the user data, and the music recommendation precision is improved. In addition, the user groups with the same general characteristics are built, and then the hybrid recommendation algorithm is used, so that music recommendation accuracy and reliability are further improved.

The invention discloses a rapid correction method for scanning a document image. A detection step is calculated according to the size of the image; four lines are fixedly detected, and the maximum number of points of each line is 100, so the maximum number of characteristic points of a straight line is no more than 400; therefore, the calculated amount of Hough transformation during straight line detection is reduced and the stability is improved; the Hough transformation with a limited included angle is adopted to further improve the efficiency of the straight line detection; an inclined angle is calculated according to parallel lines, so the algorithm can process a trapezoidal document image; the calculation of an intersection is determined according to a parametric equation of two straight lines; when the image rotates, an effective image region is only processed, the process of interpolation calculation of a black background is avoided, and the processing efficiency is improved; and the document image is partitioned for processing, and the interpolation calculation is determined according to a partitioning characteristic so as to improve the execution efficiency of a correction algorithm; and quality optimization adopts a grey scale compensation method so as to achieve better visual effect.

The invention discloses a power system fault diagnostic method based on a probability Petri net. The power system fault diagnostic method comprises the following steps of: when a power system is in fault, identifying whether fault information is true fault information or not, preprocessing the true fault information, generating a fault suspicious component library, and forming a correlated suspicious component sublibrary; extracting suspicious components in the fault suspicious component library by a monitoring center, and generating a suspicious component fault tree; establishing a probability Petri net model of outgoing lines of the suspicious components in all directions; carrying out fault diagnosis, so as to obtain fault diagnosis results; and judging fault conditions of the suspicious components corresponding to fault diagnosis results, if the suspicious components belong to the associated suspicious components, executing credibility comparison, so as to obtain fault components, and if not, regenerating the fault tree. With the adoption of the power system fault diagnostic method based on the probability Petri net, an optimal function parameter of a transition function is given based on a probability Petri net theory, the unreliability of the components is introduced, and the fault diagnosis method containing credibility evaluation is provided, so that the power system fault diagnostic method is higher in reliability and accuracy, and can be well applied in actual power grids.

The invention discloses a vehicle lane change decision method based on a BP neural network model, which utilizes the BP neural network model to provide the decision guidance for a driver when the vehicle is changing the parking lane and alarm alerts are supplied in time when danger happens at the time of lane changing. The method can effectively provide accurate and reliable decision guidance for the driver when the vehicle is changing the parking lane, and road traffic accidents caused by fault decisions at the time of lane changing are greatly reduced. The decision method comprises the steps that 1, sample data are obtained through the Doppler speed detection radar sensor; 2, a vehicle lane changing decision module based on the BP neural network model is constructed; 3, in the step of decision judgments, the obtained six sample data are loaded into the vehicle lane changing decision module in real time, and the decision judgments of vehicle lane changing are formed based on the output node classifications of the BP neural network model in the weka platform.

The invention provides an alarm system for detecting the abnormal operation of a wind driven generator. A sound acquisition module is disposed on the wind driven generator. The alarm system includes the sound acquisition module, an acoustic signal processing module, a fault diagnosis module, and an early warning module which are successively connected. The early warning module is configured to detect the working state of the wind driven generator. If discovering that the wind driven generator operates abnormally, the early warning module gives an early warning message to remind a maintenance worker to perform maintenance. The alarm system provides a simple, high-efficiency and low-cost noncontact in-position fault diagnosis method for anomaly detection of the wind driven generator, and gives guidelines for the normal operation and maintenance of the wind driven generator.

The invention discloses a method and a device for detecting a distributed denial-of-service attack. The method comprises the following steps of: acquiring search log information recorded on a DNS (Domain Name Sever); and detecting whether a DDoS (Distributed Denial of Service) attack behavior aiming at the DNS exists or not according to the obtained search log information. The device comprises an information acquisition module and a detection module. According to the search log information on the DNS, the technical scheme of the invention can effectively detect the DDoS attack behavior and prevent the DNS from being attacked by DDoS.

The invention discloses an automatic sorting machine for semiconductor chips, comprising a bottom plate. The bottom plate is provided with a chip feeding table, a chip test table, a chip BIN sorting table and a material taking unit. The transfer of a chip is carried out between the chip feeding table and the chip test table as well as between the chip test table and the chip BIN sorting table through the material taking unit. The design of integrating examining, test and sorting greatly improves the accuracy and the reliability of examining and sorting of the semiconductor chips, and avoids the condition that concentrated examining is firstly carried out and then BIN is singly sorted to be easy to cause errors so as to influence the accuracy of the sorting.

The invention discloses a system and method for testing the breaking tenacity of a material based on a temperature-controllable electrochemical hydrogen charging environment. The method comprises the following steps: fixedly connecting a target material testing component, adding electrolyte, and inserting a temperature sensor, an auxiliary electrode, an extensometer and the like, and respectively connecting a temperature control assembly, an electrochemical working station, a stretcher and a computer; starting the electrochemical working station, carrying out electrolysis to produce a large amount of hydrogen on the surface of the target material testing component, and introducing hydrogen into the testing component through permeation and diffusion, so as to realize the hydrogen charging of the testing component; after reaching a set hydrogen charging time, starting the stretcher to carry out tensile experiment operation on the testing component, and calibrating breaking tenacity of a target material. According to the system, the performance parameters such as the breaking tenacity of the target material in a given hydrogen charging environment are synchronously measured.

The invention discloses a vehicle behavior continuous tracking detection system based on a radar group. The system comprises the radar group, data communication equipment, data storage equipment, a background data processing server, a vehicle driving state display module and a power supply control module. The radar equipment is installed in a designated area, and networking is carried out to formthe radar group; road traffic data is collected through the radar group, and the road traffic data is sent to the data storage equipment; the vehicle driving state display module is used for realizingpreliminary visual display of a vehicle driving state; the background data processing server associates discrete driving state data of vehicles in each radar equipment monitoring area to realize trajectory tracking; the background data processing server fuses the radar group data to realize connection of the same vehicle driving track in the adjacent areas; the background data processing server realizes all-road-section vehicle driving behavior analysis and process reconstruction; the vehicle driving state display module realizes visual display of the whole-road-section vehicle driving behavior process.

The invention relates to a method for measuring initial rotor position of permanent magnet synchronous motor which comprises steps of: applying constant voltage space vector on motor armature winding; applying constant voltage pulse for judging initial rotor magnetic pole pointing direction; applying a first voltage pulse and A phase upper bridge arm conducting, B and C phase lower bridge arm conducting and having the same conducting width with A phase. In the conducting duration, A phase current is target current for detecting A phase current peak value; and then detecting and calculating each phase target current in sequence; comparing current variance ratio on the three windings, the rotor magnetic pole axis has the shortest distance with the axis of the phase with the greatest current variance ratio, the direction and changed current direction are consistent.

The present invention discloses a vehicle end gas detecting method based on a gas sensor array which is provided in a test box that can be changed with temperature and moisture and can be injected or discharged with the gas to be detected. The gas sensor array comprises a CO gas sensor, a NO2 gas sensor, a flammable gas sensor, a temperature sensor and a moisture sensor. The detection method comprises the steps of installing the gas sensor array demarcator and a vehicle end gas detecting system, demarcating the characteristic of gas sensor in clean air, demarcating the sensitivity characteristic of single-component gas by the gas sensor array, demarcating the sensitivity characteristic of total hydrocarbon in vehicle end gas by the gas sensor array, testing the detecting precision of the gas sensor array to the gas mixture, and the detecting and analyzing of the application of gas sensor to the vehicle end gas. The method also comprises a step of data fusion procession. Eight groups of concentration values and average value of eight groups of gas sensor arrays are respectively calculated out. The concentrations of CO, NO2 and total hydrocarbon in the vehicle end gas are respectively obtained.

The embodiment of the invention relates to the technical field of automobile electronic control, and discloses a vehicle safe driving detection method based on an artificial neural network, a device and a computer-readable storage medium. In the invention, the method comprises the following steps of: collecting characteristic sample parameters of a historical driving process; Establishing artificial neural network model including front neural network and back neural network, and train artificial neural network model by using characteristic parameters of dangerous driving. The first kind of characteristic parameters and the second kind of characteristic parameters of the driver are obtained in real time during the current driving process of the vehicle. The first and second characteristic parameters are inputted into the artificial neural network model, and the classification probability value of dangerous driving characteristics is obtained. Then the driver is judged to be in dangerousdriving state and the reminder information is sent. The invention provides a vehicle safe driving detection method based on an artificial neural network, a device and a computer-readable storage medium, which can improve reliability and accuracy of dangerous driving evaluation.

A system and method for online energy forecasting of integrated steel enterprises belong to in the field of forecast technologies of energy. The energy forecast system is composed of the PCS layer which is constituted by sensors, PLC and DCS (1) and located in the site, site monitor terminal HMI (2), interface management server (3), database server (4), application layer server (5), Web, anti-virus server (6), workstation to client terminal (7), network which connects all the computer equipment, controllers and sensors. The energy forecast method includes: the extraction of energy data, preprocess of energy data, modeling of energy, algorithm library of modeling, forecast of energy. The advantages of the invention are: the use of a variety of energy forecasting algorithms, and adopting the way of combined model for forecasting, overcoming the limit of using a single or two methods to forecast the energy demand, improving the accuracy and reliability, and suiting for the present and interim energy forecasting.

The invention relates to the relay protection field of a distribution network, in particular to a single-phase earth fault selection method of a double-phase TA distribution network. When B phase earth is provided to the double-phase TA distribution network, small wave packet reconstruction algorithm is utilized to analyze the sum of A phase mutant current and C phase mutant current before selection; thereby, transient state characteristics of the A phase mutant current and the C phase mutant current of various lines are fully utilized; the selection success rate is high; the accuracy and reliability are very high; earth fault lines can be selected accurately.

Provided are a smart home linkage method and system by infrared human body induction based on a cloud lock. The method includes the process of door entering unlocking and detection. The method includes step 1 of acquiring fingerprint information or key information by a mobile communication terminal, and transmitting fingerprint information or key information and unlocking instructions; step 2 of determining whether the fingerprint information or the key information has the unlocking authority; step 3 of receiving, by a cloud lock device, an infrared detection command and a remote unlocking command, and detecting whether someone is outside the door by an infrared sensor A; step 4 of sending, by the cloud lock device, a triggering infrared command to a cloud server after unlocking is achieved; step 5 of triggering, by the cloud server, an infrared sensor B on a smart home device; step 6 of sending a starting instruction to the smart home device after the confirmation by the mobile communication terminal; step 7 of receiving the starting instruction by the smart home device, and performing starting operation. According to the smart home linkage method and system, not only is the problem of potential safety hazards caused by accidental remote unlocking touch solved, but also the specific indoor smart home device is triggered by linkage, and the smart home linkage method and systemare more intelligent.

A blocking device for a nail gun includes a push member disposed on a nail pusher in a nail cartridge of the nail gun for moving toward a nail groove base with the nail pusher, a brake member movably installed on the nail pusher for moving toward the nail groove base with the nail pusher, and a rotational fastener pivotably installed on the nail groove base on a moving path of the push member and the brake member. The fastener can be touched to rotate by the push member when there are a small number of remaining nails in the nail cartridge so as to prevent the brake member moving to a position where it blocks an upward movement of the safety bar, and can be released by the push member and rotate back to an original position when there is no remaining nail in the nail cartridge so as to release the brake member to move to a position where it blocks an upward movement of the safety bar and thereby a nail shooting action of the nail gun. The accuracy of the nail shooting blocking is improved.

The embodiment of the invention discloses a wireless link quality monitoring method and device and a wireless transmitting-receiving unit. The method comprises the steps of receiving a wireless frame signal through a downlink wireless link, obtaining the period according to the presetting, and obtaining the signal to noise ratio of a pilot signal in the wireless frame signal and/or the block error rate of a service channel; according to the obtained signal to noise ratio and/or the block error rate of the service channel, combining the block error rate of a physical downlink control channel, and judging whether the downlink wireless link is synchronous or is out of synchronization. According to the embodiment of the method, the accuracy and reliability of wireless link quality monitoring can be improved.

Provided are cone penetrometers for measuring the impedance of the ground. In an embodiment, the cone penetrometer comprises an inner electrode, an outer electrode, an insulator layer and a penetrating rod. The inner electrode includes a cone, a first contact portion to which terminal cables of an impedance meter are connected, and a metal rod. The metal rod has a diameter smaller than that of the cone. The metal rod has a front end connected to the bottom of the cone and a rear end connected to the first contact portion. The outer electrode has an inner diameter smaller than the diameter of the cone and is in the form of a hollow tube accommodating the metal rod. The insulator layer is formed between the inner electrode and the outer electrode to prevent short circuits between the two electrodes. The penetrating rod is in the form of a hollow tube accommodating the outer electrode. The use of the cone penetrometers improves the accuracy and reliability of the measured results. Further, the cone penetrometers can be miniaturized while maintaining high stiffness against buckling.

The invention provides a method and a device for railway vehicle tracking and planned reporting. The method comprises the following steps of: through collecting representation information of a station interlocking device, position and status information of a switch engine, and wireless train number information of a TDCS (Train Operation Dispatching Command System), distinguishing operation runs of different types of action objects in a railway marshaling station according to an occupation state and a voidance state of a track circuit on a zone in an operation access so as to track an operation track and form tracking data; and obtaining the corresponding tracking data in the predetermined time range according to the type of an operation plan, after the operation plan is matched with the tracking data, modifying matching fields of the tracking data and synchronizing the state of the tracking data in a database. According to the invention, accuracy and reliability of tracking and reporting of a railway vehicle are greatly improved, and the method and the device have the advantage of higher working efficiency.

The invention provides a method for blocking popup windows in a browser and a device for blocking the popup windows. The method comprises the steps that a request of a webpage resource of a current webpage is initiated in the browser; information of the webpage state of the webpage resource is sent to a popup window blocking engine of the side of the browser to be judged; when the information of the webpage state is matched with a blocking rule in the popup window blocking engine, the browser popup windows of the webpage resource are blocked and loaded at the side of the browser. The method and the device can reliably block the popup windows with high blocking accuracy.

The invention discloses a disease risk regulation model establishment method. According to the method, for historical data of patients in a hospital or all hospitals in a region, accompanying complications of the patients during hospitalization, population characteristics of patient individuals, hospitalization state sources and the like are integrated into affecting variable factors of disease treatment, and statistic models are established according to the DRG type of a disease diagnosis related group and final treatment information of the patients respectively for performing numerical prediction and analysis on the death rate, the hospitalization period and the hospitalization medical cost of the hospital patients. According to a risk regulation model, the complications and other hospitalization information variables of the patients during hospitalization are innovatively utilized, a check and regression method in classical statistics is adopted, and modeling is carried out in combination with an LASSO method, so that over-fitting caused by too many variables is avoided, the death rate, the hospitalization period and the hospitalization cost of the patients are quantitatively predicted, and new means and way are created for medical analysis and hospital management.

The invention relates to a forward collision avoidance pre-warning algorithm taking the feature of driver response differences into consideration. The algorithm is applied to the field of active safety of vehicles, and achieves the forward collision avoidance pre-warning function by predicting the response deceleration of drivers, working out the safety distance value by which the drivers can avoid a collision according to the kinematics theories on the basis of a hypothetical pre-warning response time value, and giving a pre-warning message to the driver of a back car when the actual distance between a front car and the back car is shorter than the safety distance. The algorithm works out the brake distance needed for avoiding a collision based on the actual vehicle motion state and has higher accuracy and reliability compared with a danger sensing algorithm. Besides, the algorithm allows the driver response time, the brake deceleration and other parameters to be adjusted in order to take the feature of the driver response differences into consideration.