1885results about How to "Improve objectivity" patented technology

Orientation device for surgical use includes a frame and a level device attached to the frame. The feature may be oriented with a reference such as the Antero Superior Iliac Spine, the acetabulum or the operating table to position the pelvis or the device. The level device is adapted to define a reference plane. The device thus allows precise orientation with respect to the pelvis through use of a reference plane.

The invention relates to a method for constructing an electronic evidence. The method specifically comprises the following steps: generating a unique length-fixed digital abstract for electronic data of an applicant, and constructing a Merkle tree of an electronic evidence block chain system; constructing the electronic evidence block chain system with a timestamp; and setting an index number for a block by the electronic evidence block chain system, and returning the index number, the generated digital abstract and the timestamp to the applicant together. According to the method and the system disclosed by the invention, all participating parties can construct jointly, maintain jointly and supervise jointly, thereby meeting the right to know and the supervision right of each party; the identification cost of the electronic evidence is reduced, the identification efficiency is improved, and the objectivity and the reliability of the electronic evidence are enhanced.

The invention is directed to a method for training at least one learning-capable system comprising the steps of providing a predetermined training data set corresponding to a predetermined number of subjects comprising a predetermined input data set and a predetermined outcome data set, augmenting the input data set and / or the outcome data set, and training each learning-capable system using the augmented input data set and / or the augmented outcome data set.

The invention relates to a system and a method for intelligently dispatching and managing urban public transports. A GPS subsystem acquires traffic data in real time, and the data is transmitted to a central server through a radio communication subsystem; the central server transmits a dispatching scheme to a control terminal through a computer network subsystem; vehicles execute the dispatching of the control terminal; and the control terminal displays the operation state of the vehicles on electronic maps based on a GIS geographic information subsystem, the automatic acquisition and transportation of operation information, passenger traffic volume and operation and production process information of the vehicles are realized through a computer network central database, the objectivity and the trueness of basic production information records of enterprises are improved, the checking requirements of different levels and different ranges are met, and the operation quality is detected. The system and the method can perform real-time optimum dispatching on operating vehicles and emergency repair vehicles under the assistance of a computer-based intelligent dispatching system, and strengthen the commanding capability and the response capability on the operation state.

The invention relates to one wireless sensor network mixture intruding test method, which comprises the following steps: integrating multiple test method based on host machine, network, integration and abnormal mode, wherein, according to wireless sensor network property and outer and inner attack and distributing the test task onto sensor points, cluster point and base station point combined with host machine and network.

The invention discloses an environment risk source pre-warning system, comprising a data collector, a data server, a risk real-time evaluation system and a warner. The data collector is used for collecting real-time monitoring data of detection points in an environment risk source. An environment risk source information database for recording environment risk source basic information and a threshold value database for recording the threshold values corresponding to the real-time monitoring data of the detection points are installed in the data server. The risk real-time evaluation system is used for carrying out security evaluation on the environment risk source and calculating the risk degree of the environment risk source. The warner is used for carrying out selective warning according to the risk degree of the environment risk source. According to the system, the risk evaluation and pre-warning can be carried out on the environment risk source, a monitor can be helped to take countermeasures effectively and timely, and losses resulting from a risk event can be reduced to the lowest.

The invention provides a food sensory quality evaluation method and a system thereof. The method comprises the following steps: analyzing the special sensory characteristics of a food object to be researched to obtain a food sensory quality semantic description space; utilizing a modern instrument analyzing technical means combined with chemometrics to carry out storage and processing with digital information to the food object to be researched so as to obtain a food physicochemical parameter space; utilizing an intelligent sensory analysis technology to obtain an intelligent sensor image and a map space of the food object to be researched; utilizing an information fusion technology to carry out information fusion to the food sensory quality semantic description space, the food physicochemical parameter space, the intelligent sensor image and the map space; and utilizing a data mining technology to obtain the relationship between a sensory evaluation index, a physicochemical testing index and an intelligent sensory analysis index from basic data of the food object to be researched so as to evaluate the sensory quality of the food object to be researched. The invention can improve the objectivity and the accuracy of the food sensory quality evaluation.

The present invention discloses a method for remotely treating automobile insurance service and a system thereof. The method comprises the following steps: remotely realizing the automobile insurance acceptance service through inputting customer information based on mobile communication system and used portable mobile communication device, and storing or outputting the insurance acceptance information; at a state that the automobile is generated with an accident, through the mobile communication system and the used portable mobile communication device, automatically guiding the interaction based on insurance acceptance information through inputting the customer accident generation information for quickly completing the automobile insurance accident report, and storing or outputting the automobile insurance accident report information; based on the insurance acceptance information and automobile insurance accident report information, completing the automobile insurance accident field and automobile exploration remotely through collecting the field image information and related information of automobile insurance accident by the used portable mobile communication device, and storing or outputting the automobile insurance accident field and automobile exploration information; and based on the insurance acceptance information, automobile insurance accident report information and automobile insurance field and automobile exploration information, remotely completing the automobile insurance accident loss evaluating movably, generating the automobile insurance accident loss evaluating information, and transmitting the automobile insurance accident loss evaluating information to a maintenance shop or a related department.

The invention discloses a call speech quality inspection method and device, computer equipment and a storage medium, and is applied to the field of artificial intelligence. The method comprises the following steps: acquiring the call recording data in the quality inspection cycle, wherein the call recording data carries the seat person identifier; using the target speech static decoding network toperform text translation of the call recording data so as to obtain the call text data; performing sensitive word verification on the call text data, extracting the target sensitive words and obtaining the first quality inspection score value based on the target sensitive words; using a multi-dimensional quality inspection scoring model corresponding to the quality inspection scoring table to perform quality inspection scoring on the call recording data and the call text data so as to obtain the second quality inspection score value; and obtaining the comprehensive quality inspection result corresponding to the seat person identifier according to the first quality inspection score value and the second quality inspection score value. The method has low cost and high efficiency in call speech quality inspection and has more objective quality inspection result.

The invention discloses a resolving power measuring device and a resolving power evaluation method for a three-generation dim light image intensifier, and belongs to the field of optical measurement and metering. The resolving power measuring device is characterized by consisting of a light source component, a resolving power target, a collimator tube, an imaging objective lens, a test camera obscura, a charge coupled device (CCD) camera and a computer. The resolving power evaluation method comprises the following steps of: imaging the resolving power target irradiated by a standard light source to a fluorescent screen by using a measured image intensifier; converting into a frame image of a target line by using the CCD camera, and transmitting into the computer; successively processing asingle frame image of the target line by using a normalized cross correlation model and an optical modulation degree model through internal image processing software of the computer to acquire a single frame processing result; and analyzing multi-frame processing results and performing corresponding supplement operation to acquire a final resolving power evaluation result. By the device and the method, the problem of objective evaluation during resolving power measurement of the three-generation dim light image intensifier is solved; and the device and the method can be popularized to other measurement fields such as an intensified charge coupled device (ICCD) measurement field and the like where resolving power is required to be objectively evaluated, and have wide application prospects.

The present document describes methods and systems for the automatic inspection of material quality. A set of lights with a geometric pattern is cast on a material to be analyzed. Depending on the material being inspected, same may act as a mirror and the reflected image is captured by a capture device, or the light passes through the material being inspected and the image is captured by a capture device. Defects in the material can be detected by the distortion caused by same in the pattern of the reflected image or passing through. Finally, software is used to identify and locate these distortions, and consequently the defects in the material. This classification of defects is carried out using artificial intelligence techniques.

The invention provides a method and a system for prediction of advertisement clicking rate to solve a problem of accuracy of the clicking rate prediction affected by seriously imbalanced sample data in the original sample set. The method comprises: extracting sample data to construct an original sample set, wherein the sample data comprises clicked data and unclicked data of users; constructing a training sample set by carrying out sampling on the original sample set; constructing a prediction model by using the sample data in the training sample set as model parameters; and predicting the user clicking rate of each kind of advertisement by utilizing the prediction model to predict the testing sample set. The method and the system in the invention can eliminate the problem of serious imbalance of the proportion between the clicked data and the unclicked data in the original sample set and construct a relatively balanced training sample set. The method and the system improve recognition rate of the prediction model on the clicked rate and improve the accuracy of clicking rate prediction.

The invention relates to a spare part assembling demand forecasting information processing method applied to inventory management, comprising the following steps:1) take one part of historical sales data as method learning data and take the other part of the historical sales data as weight building data; 2) use the method learning data to practice an ARMA (Autoregression and Moving Average) method, a multiple linear regression method and a BP (Back Propagation) neural network approach respectively for each spare part; 3) apply the above three methods respectively by using the weight building data, so as to obtain forecasting relative error values for different methods; 4) calculate the weights of the above methods; 5)construct an assembling demand forecasting model; 6) forecast the future sales demands of all spare parts. Compared with the prior art, the method is suitable for the spare parts with different demand features, and has the advantages of strong objectivity, high forecasting precision, and can greatly reduce the inventory cost on the premise of having a certain service level and improves the supply chain management efficiency and customer satisfaction.

The invention relates to a comprehensive diagnostic apparatus for xerophthalmia. The comprehensive diagnostic apparatus comprises an upper computer, a controller, a Placido disc, a near-infrared light illuminating system, a white light illuminating system, and an imaging system, wherein the white light illuminating system comprises a diffuse reflection plate and a white light LED array, the imaging system comprises an industrial camera, an automatic focusing lens, an optical filter wheel disc, a motor and a gear, the diagnostic apparatus respectively measures the tear meniscus height, the area of a tiny blood vessel of a conjunctiva, the structural and morphological parameters of meibomian glands, the breakup time of a tear film, and the thickness of a lipid layer of the tear film according to the principles of visible light / near-infrared light imaging measurement, structured light imaging measurement and white light interferometry, so as to provide objective diagnostic evidences and preliminary diagnostic result for the diagnosis of the xerophthalmia. The diagnostic apparatus can replace a series of separated diagnosis items during the clinical diagnosis of the xerophthalmia, the diagnosis flow of the xerophthalmia is simplified, the diagnosis time is shortened, and the objectivity and the repeatability of the diagnosis result are improved.

The invention relates to the technical field of biological and medical in vitro detection, and discloses a cell separating micro-structural system. The cell separating micro-structural system comprises a microfluidic chip, wherein the microfluidic chip comprises a sample inlet, a sample outlet, a cell capturing region, a side flushing inlet, a recycling outlet and a cleaning inlet; a plurality of microcolumns are formed inside the cell capturing region to form a microcolumn array; the microcolumn array is distributed in a gradient manner, thus showing microcolumn distance gradient change and microcolumn dimension gradient change; each layer of the microcolumn array is distributed in the form of a regular trapezoid gradually dispersing from the top layer to the bottom layer; the horizontal cross section shape of each microcolumn is divided into an upper part and a lower part; the upper part close to the sample inlet is similar to a normal isosceles triangle, wherein the two isosceles sides are in an symmetrical inner-concave circular arc shape; and the lower part close to the sample outlet is in an inverted isosceles triangle shape. The cell separating micro-structural system disclosed by the invention is used for separating, gathering, counting and recycling CTC or UETC, wherein detecting efficiency exceeds 90%; and moreover, damages of the microcolumn array on captured cells when a fluid impacts the captured cells are lowered.

The invention relates to a neural network-based method for identifying and classifying visible components in urine, and belongs to a method for identifying and classifying the visible components in the urine. The method comprises the following steps: shooting an image of a urine sample with a flowing microscope system in urinary sediment detection equipment, and transmitting the image to a memoryof a urinary sediment image workstation; segmenting the shot image in the step 1 to form visible component particle images of the urine, calculating shape and texture feature vectors of the segmentedvisible component particle images in the step 2, and taking the vectors as input of an intelligent neural network; and receiving the feature vectors of the visible component particle images to be identified, normalizing to a range of [0,1], and inputting the trained intelligent neural network for identification. The method has high identification rate and low false positive rate, and greatly improves the accuracy and objectiveness of identifying the visible components in the clinical urine. Meanwhile, the workload of doctors is greatly lightened, and the standardization and automation of detecting the visible components in the urine are realized.

The invention provides a non-invasive continuous blood pressure measurement method based on deep learning. The measurement method mainly comprises a pulse wave signal preprocessing method, a deep neural network model establishing method and a blood pressure measuring method. Pulse wave signals input to a neural network are subjected to preprocessing, filtering and noise reduction and normalizationprocessing, so that an established model is more accurate and has better adaptability. The method uses a deep neural network, subjective feature extraction and complex mathematical modeling problemsare avoided, and the network can conduct blood pressure measurement on different forms of pulse waves of different individuals through a large number of data training networks and can be applied to awide range of blood pressure prediction scenarios after the network is trained for once. Compared with the prior art, the objectivity is high, the model robustness is strong, and the measurement method is suitable for integration in home medical monitoring equipment and is also suitable for blood pressure monitoring of a wearable device.

This invention discloses such a measurement and method of a large caliber steel tube cross-section shape, which belongs to the domain of geometric measurement technique. The measurement system of information processing mode and measurement mode is located in the small moving car, with the small car moving on the datum circular orbit. The input and output mode connect the information processing mode through the serial port. The measurement method is like this: testing a series of the steel tube surface and the radial distance of a certain known datum circular orbit radius in order to get a configuration point coordinates of the steel tube cross-section. When the amount of sampling points is abundant enough, we can get the accurate outline of steel tube. Then the information-processing mode counts the steel tube cross-section shape and dimension parameter.

A tongue manifestation analyzing and diagnosing system for traditional Chinese medicine is composed of a GUI module, a data managing module for creating the electronic medical history and expert information and storing the pre-treating data in database, a tongue manifestation acquiring and pre-treating module, a tongue manifestation processing and analyzing module, and a diagnosing and treating module.

The invention relates to an air bridge and an automatic abutting method therefor. The air bridge comprises an airplane connector, a lifting mechanism, a travelling mechanism and an automatic abutting device. The automatic abutting device comprises an image data acquisition unit, a preprocessing unit, a database, a visual identification and positioning unit, a motion control unit and a bridge control system. When an airplane parks at a parking position and the air bridge automatically abuts at an initial position, the automatic abutting device is started; image data of a hatch door of the airplane, included in the image data acquisition unit, is preprocessed; an image meeting the features of the hatch door of the airplane is recognized from the processed image data; information about the position of the airplane connector relative to the hatch door is calculated; travel control information is generated according to the information about the relative position; the relative position information and the travel control information are encoded and transmitted to the bridge control system; finally, the received information is decoded, the travel control information is executed, and the air bridge is driven to move until automatically abutting to the hatch door.

The present invention relates to a personalized travel route recommendation method based on tourist trust. Firstly, photo information with a geographical label and historical tourist information in a network are gathered, a large number of photo information is subjected to preprocessing, reliable interest point information is obtained, then a body database is constructed by using body-based modeling thought, interest point probability is predicted by using the mixed model of Markov and an subject, the travel route generation algorithm based on interest point heat is generated, and finally combined with a user trust weighted tourist route, a final route is recommended to a user. According to the method, the real travel information of users in a social network is fully utilized, a personalized travel route recommendation service can be effectively provided to the user, and the method has a good reference value for transportation service departments and travel agencies.

The invention discloses a test method for game data; the test method for the game data is used for testing the online game data and analyzing the balance of a character in an online game. The test method for the game data comprises the following steps: acquiring skill effect data of a to-be-tested character, and making a battle strategy according to the skill effect data of the to-be-tested character; executing a to-be-tested online game, performing fight test of the to-be-tested character according to the battle strategy, and acquiring and outputting test data; judging whether the battle strategy needs to be adjusted or not according to the test data; if yes, adjusting the battle strategy, performing the fight test of the to-be-tested character according to the adjusted battle strategy, and acquiring the test data; otherwise, analyzing the balance of the to-be-tested character in the to-be-tested online game according to the output test data. Moreover, the invention also provides a test device. According to the test method and the test device for the game data, the objectivity of a test result can be improved, and moreover, the test method and the test device for the game data are higher in test efficiency.

The invention discloses an identification method of abnormal power equipment images, and is applied to identifying the abnormal power equipment images from power equipment images. The method comprises the following steps: 1, obtaining the power equipment images; 2, extracting power equipment features from the power equipment images; 3, based on the power equipment features, identifying power equipment and image areas where the power equipment is located; and 4, comparing images of the image areas with corresponding comparison images to determine whether abnormal change exists in the images of the image areas so as to identify the abnormal power equipment images, wherein the abnormal change is correlated with operation state abnormities of the power equipment. Correspondingly, the invention also brings forward an identification system of abnormal power equipment images, for identifying abnormal power equipment images from power equipment images.

The invention relates to an automatic wheel hub appearance sorting device based on machine vision. The automatic wheel hub appearance sorting device comprises a detection body. The detection body comprises a positioning assembly, at least three light source camera assemblies and a detection frame, wherein the positioning assembly is used for fixing a wheel hub through a clamping device and driving the wheel hub to make Z-axis movement and rotary movement; the light source camera assemblies are correspondingly arranged on the upper portion, the lower portion and the side edge of the fixed wheel hub; and the detection frame is used for fixing the positioning assembly and the light source camera assemblies through connecting devices, and the light source camera assemblies are connected with an upper computer through network interfaces. Through the automatic wheel hub appearance sorting device, the functions of wheel hub type recognition, fixed centering and automatic appearance detection are achieved, and the automatic wheel hub appearance sorting device has the advantage of being high in detection efficiency and accuracy rate.

The invention discloses a substation inspection communicating system which comprises a local monitoring system for conducting two-way information exchange with a remote centralized control background through a special-purpose electric power network; and a remote centralized control system for accessing on-spot monitoring data and the state data of robots in real time and further comprising a management server and a client terminal. When communication signals are disrupted or abnormal data arise, both the local monitoring system and the remote centralized control system make warnings on abnormal communications. The robots are provided with communication warning and indicating signals by themselves. The backgrounds of both the local monitoring system and the remote centralized control system make warnings on abnormal communications. According to the invention, the substation inspection system can replace or help people to conduct inspections completely, locally or through a remote control mode. The inspection contents include equipment temperature, instruments, and etc. The detection means are diversified and intelligent. Further, the inspections are standardized ones, making them very objective.

The invention discloses a processing method for space-occupying lesion ultrasonic images. The processing method preprocesses the acquired ultrasonic image, comprising the following steps: the removal of the text information around the image, filtration, edge enhancement, the determination of an effective information region and the like; automatic location of a lesion region; determination of the rough contour of the space-occupying lesion, and extraction of the precise contour of the lesion region with the rough contour as an initial contour for an active contour model algorithm. The processing method realizes the functions of automatically segmenting the space-occupying lesion ultrasonic image and automatically extracting the region of interest in order to automatically diagnose the space-occupying lesion, thus enhancing the objectivity and accuracy of clinical diagnosis, and therefore the processing method effectively assists the diagnosis of space-occupying lesions.

The invention relates to a super-resolution image reconstruction method based on analysis sparse representation, belonging to the technical field of image processing. The method comprises the following steps of: performing dictionary training according to a training sample set; and training a high-resolution dictionary and a low-resolution dictionary for an extracted feature; converting an image to be input from an RGB (Red, Green and Blue) space into a 1 alpha beta space and dividing into blocks of a same size; performing two kinds of operation on the blocks, wherein one is that each block is amplified by using the conventional amplification method and the other one is that an residual image of each block is extracted, sparse representation of the residual image in the low-resolution dictionary is calculated, and then the residual image is reconstructed in the high-resolution dictionary to obtain a reconstructed residual image; summarizing results of the two steps, converting back into the RGB space and performing back projection to obtain the reconstructed super-resolution image. According to the method, the image reconstruction noise can be obviously reduced, and detail features are kept; and meanwhile, the method has the advantages of easiness in operation and wide application.

The invention relates to a comprehensive ocular surface analyzer based on an expert system. The comprehensive ocular surface analyzer comprises a comprehensive ocular surface analyzer hardware module, an image processing module and an expert system module, wherein the comprehensive ocular surface analyzer hardware module comprises a controller, a structured illumination module and an imaging module; the image processing module comprises a tear meniscus height measuring module, a red eye detection module, a tear film stability detection module, a meibomian gland morphology detection module and a corneal topography analysis module; and the expert system takes information acquired though image processing as the input, performs objective and correct judgment on common diseases of the human ocular surface and provides therapeutic measures.

The invention proposes a method for measuring atmosphere visibility, which includes the flowing steps that: A, a plurality of image edge intensity values under different visibility conditions are obtained through a video camera, and a plurality of visibility values corresponded to each image edge intensity value are obtained, then a visibility prior knowledge database in which the image edge intensity and the intensity measured value has one-to-one correspondence is constructed; B, a visibility computing formula for relationship between edge intensity of a fixed scene image and visibility is obtained according to the visibility prior knowledge database; C, when current image edge intensity of the observation point is obtained through the video camera, current atmosphere visibility value is calculated by using the visibility computing formula. The method has advantages that visibility observation is carried through an existing video monitoring device used for city management, then objectivity and importance of visibility observation are improved.

The invention discloses a power communication backbone network safety risk assessment method based on network topology. The method comprises the following steps of: identifying a network unit in a power communication backbone network topology chart; respectively calculating the service importance and safety risk event probability of the network unit; and respectively calculating safety risk values of the network unit and the link and performing risk assessment. The safety risk assessment of the power communication backbone network is performed by combining the network topology and the network service importance, the network and link in the backbone network are subjected to safety risk assessment, the safety risk level of the whole backbone network can be counted, the assessment result is specific and credible, the actual field requirements can be met, and the method is convenient for management of managers and has practical guiding significance.