391results about How to "Automate analysis" patented technology

Modular physiological sensors that are physically and/or electrically configured to share a measurement site for the comfort of the patient and/or to ensure proper operation of the sensors without interference from the other sensors. The modular aspect is realized by providing outer housing shapes that generally conform to other physiological sensors; mounting areas for attachment of one sensor to another sensor; providing release liners on the overlapping sensor attachment areas; and/or providing notches, tabs or other mechanical features that provide for the proper placement and interaction of the sensors.

The present invention relates to a computer implemented method and system for determining the source of a determined performance variance of a complex entity, and determining one or more different actions to be taken as a consequence of the determined source of performance variance.

Method for analyzing ocular and/or head orientation characteristics of a subject. A detection and quantification of the position of a driver's head and/or eye movements are made relative to the environment. Tests of the data are made, and from the data, locations of experienced areas/objects-of-subject-interest are deduced. When a driver of a vehicle is the subject, these areas/objects-of-driver-interest may be inside or outside the vehicle, and may be constituted by (1) “things” such as audio controls, speedometers and other gauges, and (2) areas or positions such as “road ahead” and lane-change clearance space in adjacent lanes. In order to “standardize” the tracking data with respect to the vehicle of interest, the quantification of the position of the driver's head is normalized to the reference-base position thereby enabling deducement of location(s) where the driver has shown an interest based on sensed information regarding either, or both of (1) driver ocular orientation or (2) driver head orientation.

The invention provides a method and a system for automatically analyzing a panoramic digital pathological section image. Color enhancement, normalization and standardization processing are carried out on a pathological image, and an interesting feature extraction region in the image is acquired; the color, the morphology, the texture and the space distribution feature of the pathological section in the interesting feature extraction region in the image standardization module are detected; according to the detection result of the image feature extraction module, automatic classification and quantitative index calculation are carried out on the pathological image; according to the classification result of the automatic classification module, diagnosis by a medical staff is assisted. Thus, automatic analysis on the panoramic image of the digital pathological section can be realized accurately and in real time.

A method for automating the deployment and lifecycle management of an integration solution by using a deployment solution template to gather deployment information, where the integration solution combines components developed separately or on different platforms. The deployment information gathered includes the computing environment topology into which the integration solution is being deployed, as well as the resource requirements and non-functional requirements of the integration solution and its components. The method provides computer implemented models for analyzing the gathered deployment information, and identifying and optimizing deployment options. Choices for selection among identified and optimized options based on non-functional requirements of the integration solution may be displayed to a user of the deployment method. The deployment template may be customized to modify the information being gathered in view of the analysis provided by the models, and in order to use the template and models in subsequent deployments and for the management of the integration solution.

The invention discloses a device for testing the hardness, fracture toughness and residual stress of a brittle material with an indentation method, belonging to the technical field of material property representation. The device comprises a frame and an image acquiring system, wherein the frame is provided with an eye lens, a height-adjustable testing operation platform and an adjusting rotating wheel; a loading system is arranged in the frame, and comprises a fixing support base, a lever, a mandrel, a hanging rod, a middle main shaft and a second motor; and a first motor and the second motor of the loading system are connected with a computer through an I/O (Input/Output) control card. In the invention, the conventional digital image low-load Vickers hardness meter is improved, so that the micro-hardness of a material can be directly tested, and the fracture toughness and residual stress of an interface system of the brittle material and a brittle coating film material can be directly tested; and the device can be widely applied to departments such as industrial enterprises, universities, academies and the like for rapidly detecting relevant indexes.

The invention discloses a method for identifying and detecting a G-series high-speed train overhead contact line equipment supporting device cantilever connector fastener. The method comprises the steps of firstly acquiring images of a G-series high-speed train overhead contact lien equipment supporting and suspending device; screening the acquired images, constructing a sample database of an overhead contact line equipment cantilever connector; then finishing positioning and extraction of various cantilever connector of the G-series high-speed train overhead contact line equipment by means ofa Faster R-CNN algorithm based on a convolutional neural network structure; further marking various kinds of fasteners on the extracted cantilever connector images, and constructing the sample databases of various kinds of fasteners; and finishing positioning and extraction of various kinds of fasteners of the G-series high-speed train overhead contact line equipment by means of the Faster R-CNNalgorithm based on the convolutional neural network structure. The method provided by the invention has advantages of reducing high workload in artificial identification, realizing automatic analysisfor the field image, performing identification and classification on the fasteners of various kinds of overhead contact line equipment supporting device cantilever connectors, and realizing relativelyhigh identification accuracy.

The invention discloses a root fault cause analysis method and analysis device relating to the data mining and network management field, solving the problems that in the current root fault cause analysis process, a great deal of manpower and time are used to analyze weblogs, the root fault cause analysis efficiency is relatively low, and the network fault cannot be eliminated timely. The method comprises: determining the fault time point of a network device; obtaining the first log information set generated by the network device in the first time period; wherein the first log information set comprises M kinds of log information; analyzing every kind of log information in the M kinds of log information according to a preset analysis strategy, obtaining N kinds of root cause logs in the M kinds of log information; wherein the root cause logs are log information generated when the network device generates the fault, N is more than or equal to 1 and is less than or equal to M, the preset analyzing strategy is: preset fault generation rule when the network device fault is generated; and determining the cause of generating the network device fault according to the N kinds of root cause logs.

The invention discloses a geological survey method of a tunnel face based on a digital image. The geological survey method comprises the following steps of: A, confirming a target object and marking the tunnel face; B, photographing to the tunnel face by using a high-resolution digital camera to shoot a complete tunnel face region; C, calculating the proportion conversion coefficient of a real object and an image according to the distance of two marking points on the tunnel face and the pixel value of two points in the image; D, performing grey level transformation, color equalization, brightness/contrast adjustment, hue/saturation control and image filtering to logarithms; E, calculating all pixels in the digital image; F, calculating extended length of structural surface, total extension of unit area crack, linear fit of structural surface, viewing dip angle of structural surface and space structural surface parameter of structural surface by the binary image of the structural surface to obtain geological survey achievements of the tunnel face. The geologic sketch map of the tunnel face is obtained by the method, so that the geological sketch speed and the geological survey precision and accuracy are improved.

The invention discloses a parallel method for simulating and optimizing the computer architecture scheme based on a cluster system, and aims to provide a parallel method for simulating and optimizing the design scheme of the computer architecture. The technical scheme is that a parallel computer system which consists of a main control node and simulation nodes and is provided with a remote command execution environment is firstly built, and a global configuration program, a simulated configuration file generating program, a task dispatching program and a result analyzing program are arranged on the main control node, wherein, the global configuration program is used for arranging global configuration; the simulated configuration file generating program is used for generating all simulated configuration files; the task dispatching program distributes simulation evaluation tasks to each node, controls each simulation node and performs simulation evaluation; and the result analyzing program searches simulation result files sent from the simulation nodes for statistics, screens out optimal configuration parameter values, and outputs a report. By adopting the invention, the time for evaluation and optimization can be reduced, and the selection accuracy is improved.

The embodiment of the invention provides a Dump document analysis method, device and system. The method includes the steps of receiving a Dump document, scanning the Dump document through a scheduling and debugging analysis engine to obtain a Dump document analysis log, analyzing the Dump document analysis log to extract a Crash fundamental feature, generating a Crash auxiliary feature according to the Crash fundamental feature, and judging the Dump document on the basis of the Crash fundamental feature and the Crash auxiliary feature. After the Dump document analysis method is applied, automatic analysis on the Dump document is achieved, the analysis efficiency of the Dump document is improved, the software Crash problem can be rapidly positioned and solved, and therefore stability of software is improved.

An embodiment of the invention discloses a line loss abnormity location method. The method comprises obtaining the month line loss rate on line loss lines, recalculating the month line loss rate larger than the preset threshold on the line loss lines according to the set line loss calculation model and month line loss rate, and determining actual month line loss lines, actual line loss months and the line loss conditions of the months after comparing the recalculated month line loss rate with the preset threshold; obtaining the day line loss amount in every month on the line loss lines, calculating the day line loss amount difference between the same line loss line and the same month adjacent days according to the obtained day line loss amount, and determining actual day line loss lines, actual line loss days and line loss conditions of the line loss days after comparing the day line loss amount difference to be calculated with a preset day line loss amount mutation value. The embodiment of the invention further discloses a line loss abnormity location system. According to the method and the system, the problems of lack of automatic means for diagnosis analysis, large troubleshooting difficulties and heavy workloads of line losses in the prior art are solved.

The invention relates to a public opinion analysis method and system, computer equipment and a storage medium. The method comprises the following steps of: crawling public opinion information on a preset platform; determining an influence object type corresponding to the public opinion information; splitting the public opinion information to obtain a plurality of short texts; obtaining a public opinion factor corresponding to the influence object type and respectively extracting target keywords from the plurality of short texts according to the public opinion factor; and obtaining a public opinion analysis model corresponding to the influence object type, and inputting the extracted target keywords into the public opinion analysis model to obtain an emotional index corresponding to the public opinion information by calculation. By adoption of the method, the public opinion analysis efficiency and correctness can be improved.

The invention relates to a method for identifying cancer cells, belonging to the field of a medical instrument. The method comprises the following steps of: collecting images, analyzing the images, and outputting detection results, wherein the image analysis comprises noise reduction treatment, color space exchange, color regulation, images cutting, characteristic extraction, geometric analysis, and image identification. The invention provides a system and method for identifying cancer cells disclosed by the invention have reasonable price and good detection effect, can automatically analyze pathological images so as to find tumor cells at the early stage.

The embodiment of the invention provides a closestool system having a chemical examination function. The closestool system having the chemical examination function comprises a closestool body. The closestool body is provided with a dirt collection pit, and an automatically controlled movable sealing door is arranged on the side wall of the closestool body. The closestool system further comprises an automatic chemical examination analysis box, a stirrer, a mechanical hand, an automatic sampler and a control system, wherein an opening of the automatic chemical examination analysis box is connected with an opening of the closestool body through a sealing passage, and a full-automatic human excreta analysis instrument is arranged inside the automatic chemical examination analysis box; the stirrer stirs dirt in the dirt collection pit; the mechanical hand is arranged inside the automatic chemical examination analysis box; the automatic sampler is controlled by the mechanical hand; the control system instructs the devices to work in sequence. The closestool system having the chemical examination function achieves automatic analysis of human excreta, and enables people to detect various diseases in daily life.

The invention provides an automatic analysis method of a dynamic electrocardiogram. The automatic analysis method comprises the steps of reading dynamic electrocardiogram data outputted from a dynamicelectrocardio recorder; pretreating the dynamic electrocardiogram data; performing noise detection on the pretreated electrocardio data so as to obtain a noise section fragment; performing heart beatdetection treatment on the dynamic electrocardiogram data, recognizing a plurality of heart beat data in the electrocardiogram data, removing the noise section fragment, and generating an analysis heart beat sequence according to the time sequence; calculating heart beat characteristics, generating a dynamic template, performing heart beat classification, and performing amendment so as to obtainfinal classification; performing analysis and calculation on electrocardiogram events so as to generate electrocardiogram event data; and performing statistics analysis summary on the electrocardiogram event data, and outputting an electrocardiogram report. According to the automatic analysis method disclosed by the invention, the electrocardio data recorded by the dynamic electrocardio recorder can be automatically analyzed, and the final electrocardio report is obtained, so that the problems that doctors spend long time in reading and analyzing the electrocardiogram, erroneous judgment is easy to generate, and analysis is inaccurate and not comprehensive can be solved.

The invention discloses orthogonal light path-based equipment for online monitoring the concentration of organic carbon/elemental carbon in PM (Particulate Matter) 2.5. The orthogonal light path-based equipment comprises an on-line sampling unit, a sample processing and detecting unit and an orthogonal light path system, and is characterized in that the sampling unit comprises a vacuum pump, a mass flow controller, a quartz filtering membrane, a ball valve, a volatilizable organic matter denuder, and a PM2.5 cutting head; the sample processing and detecting unit comprises a digestion furnace, an oxidation furnace, a gas path control network, a carrier gas source and a non-deviation infrared detector; the orthogonal light path system comprises a laser, a light beam splitter, a reference light path photoelectric detection unit, a quartz filtering membrane transmission light path photoelectric detection unit and a reflection light path photoelectric detection unit; and three gases of high-purity He, 5 percent O2/He and 5 percent CH4/He are required to be controlled by a gas path valve network by a singlechip. The orthogonal light path-based equipment is capable of simultaneously detecting light intensity values of incident laser, sampled reflected light and transmitted light of the quartz filtering membrane, and relatively accurately achieving the segmentation of the organic carbon and the elemental carbon.

The invention discloses a caterpillar track type road surface autonomous detection robot system which comprises a caterpillar track type robot and a remote monitoring auxiliary system. The caterpillar track type robot and the remote monitoring auxiliary system transmit information in a wireless communication manner. The caterpillar track type robot is provided with a control system, a nondestructive detection system and an operation mechanism; the operation mechanism is installed on the caterpillar track type robot; the nondestructive detection system is connected with the operation mechanism; the control system is electrically connected with the operation mechanism and the nondestructive detection system; and the nondestructive detection system comprises a resistivity meter, the operation mechanism comprises a telescopic mechanism, and the resistivity meter is connected with the telescopic mechanism. The invention further discloses a road surface detection method. By the adoption of the robot system, intelligent detection can be achieved; due to the fact that manual driving is not needed, the detection safety and the accuracy of detected data are improved; various nondestructive detection sensors are integrated, the road surface and the inner condition of the road surface can be comprehensively evaluated at a time, the detection efficiency is greatly improved, and the influences on the road passage are reduced as well.

The invention discloses an urban rail transit vehicle base intelligent train inspection system. The urban rail transit vehicle base intelligent train inspection system comprises a warehousing rail side intelligent comprehensive detection system (1), an in-warehouse urban rail transit intelligent inspection robot system (2) and an integrated data detection service platform (3), the warehousing railside intelligent comprehensive detection system (1) is located at the warehousing section of an urban rail transit vehicle base, and the in-warehouse urban rail transit intelligent inspection robot system (2) is arranged on a detection platform of an urban rail transit train maintenance warehouse and comprises an inspection robot. According to the urban rail transit vehicle base intelligent traininspection system, intelligent systems such as detection equipment and an intelligent robot are adopted to replace manual detection, so that a lot of labor force is released, meanwhile, compared withtraditional manual operation, the detection range is increased, the detection omission rate is reduced, and the detection efficiency and quality are improved.

The invention discloses a unified log data analysis method. A unified log data set can be generated using unified log scripts in a website system according to the requirements of the unified log scripts, thereby facilitating automatic analysis on log data. First, the unified log data in the unified log data set is grouped according to a user identifier and a log type. For multiple pieces of unified log data in the same group, a complete operation track of the same user can be obtained through the combination of function points to track the service of the user. For multiple pieces of unified log data in the same group, the function points having the durations exceeding a threshold are determined by comparing the duration of each function point to analyze the performance of the function points. For multiple pieces of unified log data in the same group, the use frequency of each function point is counted to analyze hot spots of the function points, and the front and back functions of eachfunction point are counted to analyze the correlation of services.