611results about How to "Ensure objectivity" patented technology

The invention relates to an on-line management method for an engineering project. According to the on-line management method for the engineering project, based on a remote interaction platform, through data transmission and data processing between a budget end computer device, a plurality of contracting enterprise end computer devices, a plurality of evaluation end computer devices, an application end computer device, a plurality of submission end computer devices, a plurality of checking end computer devices and a server end computer system, on-line bidding and tendering and bid evaluation of the engineering project are achieved, and on-line evaluation and on-line making of an engineering project progress plan of a contracting enterprise of the engineering project, on-line tracking of engineering project progress completion conditions, response and management of engineering project progress abnormal conditions, on-line generation of an engineering project quality acceptance report form, one-line application for engineering project progress payment, and on-line generation of engineering project budget by material and labor cost analysis are achieved.

The invention discloses a test method for real object crash of vehicle components and a test device thereof. The test method comprises the following steps: the vehicle components are fixed on a carrying trolley which can move on a track, the speed of the trolley is increased to a test value by traction with a drive system before preparing for crash an impact wall; when the carrying trolley moves to a set position before the impact wall, a trigger device is started to detach the drive system from the carrying trolley, a test component and the carrying trolley are caused to crash the impact wall without drive power; a vehicle-borne acceleration test system is arranged on the carrying trolley so as to complete data acquisition in real time; and the trigger device triggers a speed test system, an impact force test system and a high-speed camera system at the same time. The test method of the real object crash of the vehicle components and the test device can help measure objective data in real time such as the impact force, a transient acceleration, component deformation and speed output at the moment of crash, and further can record deformation sequence images of the components during the whole crash course so as to get scientific and exact analysis results.

A method and system for permission-based communication and exchange of information by means of a neutral and unified database in which consumers remain anonymous. The method involves receiving and storing consumer information corresponding to a number of individual consumers via a consumer information receiver, the consumer information including both consumer-identifying information and consumer profile information for each consumer. The method also involves receiving a profile information search request which specifies at least one consumer profile criterion. The method also involves searching the consumer database to identify selected records which match the consumer profile criterion in order to obtain a search result. The method also involves providing the search result to the requestor via a search result provider, and wherein the search result does not include any consumer-identifying information.

Disclosed herein is an apparatus for evaluating the safety of a building. The apparatus includes first and second measurement instruments which measure earthquake accelerations of the top and bottom stories, a fast Fourier transform unit which performs fast Fourier transform on the earthquake accelerations, an integration unit which double-integrates the measured earthquake accelerations and creates drift data of the top story and the bottom story, a maximum inter-story drift ratio calculation unit which calculates a maximum inter-story drift ratio, a natural frequency change rate calculation unit which determines a natural frequency of the building, and compares the natural frequency with an ambient natural frequency of the building so as to calculate a natural frequency change rate, and a building safety evaluation unit which compares the maximum inter-story drift ratio and the frequency change rate with preset evaluation criteria and outputs a result of evaluation in the safety of the building.

The invention relates to an on-line management method for engineering project bidding, tendering and bid evaluation. According to the method, based on a remote interaction platform, through data transmission and data processing between a contracting enterprise end computer device, a checking end computer device and a server end computer system, and through the steps of applying for contracting enterprise registration, applying for the bidding, setting a bidding marking sheet, uploading tendering documents, calculating a total bid evaluation score according to marking standards of the bidding marking sheet, generating a bid evaluation report and a pre-determining report form and sending a bid-winning notice to a bid-winning contracting enterprise, on-line management for the engineering project bidding, tendering and bid evaluation is achieved, and effective support is supplied to bidding and tendering work of large-scale enterprises.

The invention provides an intelligent review expert recommending method for science and technology projects. The method includes the following steps that (1) the science and technology projects to be reviewed and expert information main texts are segmented into substring sequences, ICTCLAS segmentation of Chinese academy of sciences is carried out on the substring sequences, and stop word filtering is carried out on a segmentation result to obtain a term set; (2) a term network of project information is built, feature words are extracted on the basis of statistical characteristics and aggregation characteristics, and if expert information is relatively concise, the term set obtained in the step (1) directly serves as the feature words; (3) a knowledge representation model is built on the basis of fields and weights of the feature words, and a relative information index is built; (4) experts are recommended in groups to carry out feature merging operations between the fields and between the projects on the knowledge representation model; (5) similarity of the experts and the science and technology projects or groups to be viewed is calculated on the basis of semantics, threshold truncation is set, and a final recommended expert list is generated. By means of the method, the problems that recommending workload is large and review decisions lack scientificity are greatly alleviated.

The invention provides a vehicle speed guiding method based on short-distance wireless communication. The method comprises the steps of: 1, obtaining traffic lamp information, information of a vehicle itself, and driver driving information, wherein the traffic lamp information includes the current phase of traffic signal lamps, a phase residual time Tg and the current position information of the traffic signal lamps; and the information of the vehicle itself includes the position information and the operation state of the vehicle itself; 2, when the obtained current phase of the traffic signal lamps is green and the phase residual time Tg is no more than n seconds, judging whether queued vehicles are before the vehicle itself, if yes ,stopping the process, and if not, entering a step 3; 3, calculating an estimated time ti for the vehicle itself arriving a parking line; and 4, determining vehicle speed guiding information according to the time ti. The invention further provides a vehicle speed guiding system based on the short-distance wireless communication, and the vehicle speed guiding system is capable of effectively assisting and suggesting a driver to drive at a suggested vehicle speed, so that the potential collision danger is eliminated, and the safety accidents are avoided.

Method and system to utilize the set of navigation paths of web pages as the contextual information for subject relevant web page filtering with high accuracy are provided. The method comprises the steps of: obtaining all web pages in one or more web pages collections; collecting information of the links among the obtained web pages; extracting, based on the collected links, a set of navigation paths of each of the obtained web pages; and filtering the obtained web pages based on the extracted set of navigation paths to obtain desired web pages. In some embodiments, the extraction of the navigation paths is preferably performed on the navigation links of the web pages. Therefore, the method also comprises the process for deleting non-navigation links from all the links of the web pages. Compared with the prior art, the present invention can utilize the contextual information of the web pages for web page filtering in a more sufficient way, thereby improving the accuracy and objectivity of the web page filtering.

The invention provides a multi-vision-based bridge three-dimensional deformation monitoring method which comprises the following steps of: (1) obtaining the images of calibration plates and extracting the feature points on the multiple calibration plates by multiple video cameras respectively; (2) establishing a mapping model based on a BP neural network; (3) obtaining each video camera image at the bridge edge feature points; (4) eliminating the error point pairs by use of RANSAC to obtain the correct matching point pairs; (5) extracting the two-dimensional coordinates of each video camera image at the bridge edge feature points, obtaining the three-dimensional world coordinates of the feature points according to the mapping model based on BP neutral network, and drawing a three-dimensional curve of the bridge surface; and (6) extracting the bridge deformation rule according to the bridge curves of the bridge at different moments, and judging the bridge deformation trend. The method provided by the invention can perform non-contact three-dimensional measurement on the bridge deformation, and has the advantages of continuous measurement, instant measurement, synchronous measurement of multiple points, high precision, repeatability, low cost and the like.

The invention discloses a correlated color temperature and color rendering index self-calibration circuit of an LED light source consisting of light of multiple colors, comprising a data storage circuit, a light sensor circuit, an input circuit and a master control computing circuit, wherein the data storage circuit stores each light color LED light flux forming an LED light source or a light intensity-current curve and correlated color temperature and color rendering index-light flux or light intensity ratio curve and sends the two sets of data to the master control computing circuit; the light sensor circuit is used for sensing light signals of a light source window and sending the light signals to the master control computing circuit; the input circuit is used for setting up correlatedcolor temperature and color rendering indexes and sending the correlated color temperature and color rendering indexes to the master control computing circuit; the master control computing circuit utilizes the two curves to establish an internal database, converts the light signals of the light sensor circuit into light flux or light intensity actually sent out by an LED by the database and sendsout a corresponding control signal to an LED constant current drive circuit according to the set correlated color temperature and color rendering index, thereby enabling the LED of each light color to regulate the light flux or light intensity ratio.

The invention discloses a newborn pain degree assessment method and system based on facial expression recognition, and the method comprises the steps: building a newborn pain facial expression image data set which comprises a preprocessed newborn facial expression image and a corresponding expression class label; constructing a DCNN (deep convolutional neural network) for estimating the pain degree of a newborn, employing a disclosed large-size data set with a label for the pre-training of a network, obtaining an initial weight parameter value, carrying out the fine tuning of the network through the facial expression image data set, and obtaining a trained network model; inputting a to-be-tested newborn facial image into the trained network for facial expression classification and recognition, and obtaining a pain degree assessment result. The method can make the most of the features extracted through the DCNN, can obtain a better pain degree assessment result through a small-size newborn pain degree facial expression image data set, and is a new method for the development of a system for automatic assessment of the pain degree of the newborn based on the facial expression recognition.

The invention discloses an electronic die cutting material defect detecting implementation method based on machine vision. The method comprises the following steps of (a) loading a detection template; (b) transferring a detection object; (c) monitoring through a sensor; (d) capturing an image; (e) identifying an object; (f) processing the image; (g) carrying out binarization processing; (h) carrying out data statistics and detection analysis. The method adopts a non-contact optical sensor system, and adopts a machine to replace human eyes to measure and judge, a system utilizes a CCD (Charge Coupled Device) camera for capturing the image of an objective measuring object, and information such as pixel distribution, brightness and color of the image of the objective measuring object is converted into digital image signals; a project control system operates the signals to extract the characteristics of the measuring object; finally, field equipment is controlled to act according to tolerance and other condition output results so as to meet the core demands on on-line detection of product defects and dimension measurement, so that the measurement precision, the measurement speed, and the reliability under an industrial site environment can be ensured.

The invention relates to an Android malware static detection method based on random forest and belongs to the technical field of network security. According to the method, characteristic vectors consisting of permissions, monitored system events, sensitive APIs and permission rates are constructed, a training model and a prediction model of Android malware based on a random forest algorithm in support machine learning are established, then, the validity of the models is verified through sample calculation with a tenfold cross validation method. The prediction accuracy of the model can reach 89.91%. The method has the significant advantages as follows: 1) main characteristics involved in each Android application are acquired with a simple and quick static analysis method, besides, no dynamic tracking is involved, and the characteristics of low cost and high efficiency are realized; 2) the used four groups of characteristic vectors comprising the permissions, monitored system events, sensitive APIs and permission rates can be captured easily by each Android application, and the method is easy to popularize on an Android platform.

The invention provides a vehicle-mounted network message authentication protocol. A vehicle-mounted ad-hoc network comprises a trusted authentication center, a vehicle-mounted unit and roadside units, the message authentication protocol uses a threshold proxy re-signature algorithm to protect vehicle privacy information, the signature of a message by a vehicle-mounted communication unit is converted into the signature of the same message by an authentication center, thereby reducing the risk that the signature tracks the vehicle-mounted unit and realizing the anonymity of communication messages. Re-signature keys are dispersed to a plurality of roadside communication units in a threshold mode for management, thereby reducing the decoding success rate of the re-signature keys and preventing the roadside communication units from abusing the proxy signature right. The authentication center traces a real vehicle releasing a false message to solve the problem of calling back illegal vehicles. The protocol has relatively high security and a relatively low storage cost, has unforgeability, robustness, message authentication, replay attack resistance and traceability, and can greatly improve the privacy of network member information.

The present invention provides an information authenticating apparatus and an authenticating station adapted to improve the probative value of data as evidence by ensuring a high objectivity of the data. The information authenticating apparatus comprises a digital camera and an authenticating information adding section which adds authenticating information to digital data entered by the digital camera. The authenticating station comprises, on the other hand, a communication unit which receives the digital data from the information authenticating apparatus, and a digital signature affixing section. The digital signature affixing section affixes the digital signature to the digital data received by the communication unit when authenticating that the digital data have been entered by the digital camera.

The invention discloses an inner and outer layer nesting ECMS (equivalent fuel consumption minimization strategy) multi-objective double-layer optimization method. The inner and outer layer nesting ECMS multi-objective double-layer optimization method includes steps of building multi-objective optimization models of plug-in hybrid electric vehicles; solving the multi-objective optimization modelsby the aid of inner and outer layer nesting multi-objective particle swarm algorithms to obtain multi-objective optimized Pareto solution set front edges; weighting equivalent fuel consumption per hundred kilometers and variation ranges of deviation of SOC (state of charge) final values and target values, building total evaluation functions related to the equivalent fuel consumption per hundred kilometers and SOC deviation and selecting the optimal charge and discharge equivalent factors and engine and motor power distribution modes corresponding to the optimal charge and discharge equivalentfactors. The inner and outer layer nesting ECMS multi-objective double-layer optimization method has the advantages that output power of engines and motors of the plug-in hybrid electric vehicles canbe reasonably distributed at CS (charge sustaining) stages, so that fuel consumption can be reduced as much as possible, battery SOC balance still can be effectively kept, and the fuel economy of theintegral vehicles can be improved.

The invention provides a ray digital imaging detection system for pressure equipment girth welds. The system comprises a pressure equipment automatic scanning device which is arranged on the outside of pressure equipment for axially rotating around the pressure equipment, a ray emitting device which is fixed on the pressure equipment automatic scanning device for emitting rays to penetrate the girth welds, and a ray receiving and image processing device which is fixed on the pressure equipment automatic scanning device and is arranged opposite to the ray emitting device for receiving the emitted rays, converting optical signals of the rays into digital signals to generate girth weld detection images and processing the images to generate a processing result. The system can realize the digital imaging detection for the pressure equipment girth welds of different diameters by changing the diameter of the pressure equipment automatic scanning device, not only can greatly reduce the detection cost and shorten the development period of products, but also can quickly identify the defects.

The invention discloses a risk assessment based intelligent navigation method and device, equipment and a storage medium. The risk assessment based intelligent navigation method includes acquiring a route and navigation request sent from a client side, acquiring multiple original navigation routes according to starting location and target location of the route navigation, further acquiring to-be-assessed traffic data corresponding to each navigation route, performing rick assessment on the to-be-assessed traffic data corresponding to each navigation route through a road rick identification model trained in advance to acquire section risk probability of the corresponding road sections, acquiring the total risk probability corresponding to the original navigation routes according to the section risk probability of at least one corresponding navigation road section of each original navigation route, and finally determining the original navigation route with the lowest total risk probability as a recommended navigation route and sending the recommended navigation route to the client side. The risk assessment based intelligent navigation method can realize route planning based on safetyfactors, thereby guaranteeing safety in driving.

The invention discloses a content extraction method based on keyword matching. Keywords in a webpage source code Keywords label are counted, a standard library is built according to the keywords, and a corresponding DOM tree is built; hierarchical traversal is conducted on the DOM tree, the number of keywords contained in all nodes of the DOM trees is counted, the keyword weights of the nodes are calculated according to the ratio relation between the keyword number of the nodes and the keyword number of father nodes of the nodes, the content node containing a content text is effectively screened out and positioned by judging the maximum keyword weight of node children, and content extraction is completed; and a similarity matching method is proposed in order to solve the problem that a short text cannot be effectively extracted through a keyword matching method, and according to the similarity matching method, paragraph texts and page titles are converted into 8-bit binary data, the similarity is judged according to the Hamming distance, and content extraction of the short text is achieved. According to the content extraction method, matching is conducted according to the keywords set in a webpage, neither data training nor sample learning is needed, and the method is out of limitation of a website structure and has the good universality.

The invention discloses an angry driving behavior monitoring and intervening device capable of automatically adapting to driver characteristics. The device comprises a vehicle whistling monitoring system, a steering wheel operation monitoring system, an acceleration changing monitoring system, a sound monitoring system, a vehicle-mounted system, a self-adaptation detection system, a driving anger feeling recognition system and an early warning reminding system. Common behaviors expressed during angry driving of a driver can be monitored in real time from multiple aspects, influences of driver individual differences on anger monitoring and recognition are eliminated, the precision is high, and the accuracy is better. Meanwhile, when the driver has the angry driving behavior, the device performs real-time intervention on the driver in recorded individualized sound early-warning modes at different levels, and therefore the intervention problem that the universality is low and consumed time is long when mental training is adopted as the main means is solved, and potential safety hazards brought by angry driving are greatly reduced.

The invention discloses a moving target detecting and tracking algorithm evaluation method based on data set compensation. The moving target detecting and tracking algorithm evaluation method automatically adds quantification factors of eight performance interference factors for data sets, and allows the user to select variation factors when evaluating an algorithm conveniently; the moving target detecting and tracking algorithm evaluation method can customize weight sizes of the variation factors according to degree of sensitivity of a specific evaluated algorithm to specific variation factors, so that comprehensive quantification factors corresponding to the data sets truly reflect the algorithm application environments, and finally the objectiveness of evaluation results is ensured; at last, since the comprehensive quantification factors are comprehensive quantification embodiments of the variation factors affecting algorithm performances in the corresponding data sets, the comprehensive quantification factors of the data sets are adopted for performing weighted compensation for threshold values used for carrying out success determination of the evaluation index precision OverlapP, can show different influences of the data sets with different variation factors on the algorithm performances in the evaluation result, can simulate results of the algorithm under some interference conditions, and provides certain guidance for the further improvement direction of the algorithm.

The invention relates to a sandstone-type uranium mine target region optimal selection method based on element geochemical anomaly. The method successively comprises the following steps: 1) element geochemical data is acquired or collected; 2) a single element geochemical anomaly map is established; 3) the mineral occurrence projection transformation process is performed; 4) the indicator element screening process is performed; 5) uranium element and auxiliary indicator element geochemical anomaly maps are established and the projection transformation process is performed; 6) and the level of an uranium metallogenic prospect target region is judged. The method of the invention is suitable for a plurality of sandstone-type metallogenic belts and forecast regions on a national scale, and advantages of wide coverage, high effectiveness, good applicability and good accuracy can be realized. According to the invention, the indicator elements are clear, the advantage of good operability can be realized, the method process is evaluated normatively, the evaluation efficiency is improved, and the objectivity of the study result can be ensured.

The present disclosure provides techniques to rank search results. The techniques may include acquiring a set of primitive characteristics and extracting effective characteristics from the set of primitive characteristics based on historical transaction data. The effective characteristics include characteristics that can have an influence on ranking of search results. The techniques may also include determining an initial weight of each of the effective characteristics based on the historical transaction data, and training the initial weight using the historical transaction data and a predetermined training model to obtain a final weight. Based on the final weight, the search results may be ranked. In some aspects, the techniques may also optimize the ranking to ensure the objectivity and accuracy of ranking results.

The invention relates to a method for measuring three-dimensional morphological parameters of a blood vessel in an intracoronary ultrasound (ICUS) image sequence, which is used for improving the measurement accuracy of the morphological parameters of the blood vessel of a coronary artery. The technical scheme comprises the following steps of: completing three-dimensional reconstruction of the blood vessel by using the ICUS image sequence which is obtained by continuously withdrawing an ultrasound catheter and covers a plurality of cardiac cycles and cross information between two approximately vertical X-ray coronary arteriography images which are acquired at a starting point of a withdrawing path of the ultrasound catheter; and measuring and calculating the morphological parameters of the blood vessel which are important to clinical medicine by a geometric method by using a three-dimensional blood vessel model. Experiments prove that the measurement result of the morphological parameters of the blood vessel by the method is more accurate than that of the prior art, so that a reliable basis for visual diagnosis and treatment of coronary heart diseases and evaluation of interventional therapy effect is provided.

The invention discloses a high-accuracy computer automatic marking method for subjective items based on domain ontology. The method comprises the following steps: firstly, building a domain ontology structure suitable for automatically marking the subjective items, and explaining a domain relation into a sentence in a natural language for describing a domain event; secondly, building a subjective item bank structure based on the domain ontology and item description logic, requesting the items to accord with the subjective item bank structure, and then marking answer sheets of examinees according to the following steps: (1) obtaining single words and part-of-speech tagging in the answer sheet of each examinee; (2) tagging an ontology element; (3) generating an answer sheet semanteme based on the domain relation; (4) calculating based on the similarity of the answer of the domain relation and the answer sheet semanteme; (5) calculating the score of the answer sheet of the subjective items of each examinee. According to the method, the semanteme analyzing and processing flows of the natural language in each examinee answer sheet are greatly simplified; the semanteme of answer domain knowledge is relatively fully expressed; the accuracy for automatically marking the subjective items is ensured.

The invention is the automobile sealing strip compressing load and displacement testing equipment. The step-by-step motor drives the driving device through the computer control; the driving device composed of the gear assistant and the thread nut assistant drives the pressing head to move straight and to press on the sealing bar; the raster ruler is equipped on the cantilever of the pressing head to get the precise displacement of the head for the reading of the digital displayer; the force sensor is equipped on the pressing head; the sealing bar produces the resistance to misshape the force sensor and is reflected by the voltage changing of the electric bridge; the computer converses the voltage value into the compressing charge of the sealing bar through the sensor; the CCD testing system is equipped at one side of the sealing bar to test the space track of the points of the section of the sealing bar. The invention can realize the complicated response test of the sealing bar and ensure the testing precision.

Disclosed are a real time automatic update system and method for disaster damage investigation using wireless communication and a web-GIS (Geographic Information System), which are able to prevent disaster recurrence by effectively acquiring various data associated with a disaster area in disaster investigation, quickly establish a disaster register and enable easy searching by loading corresponding data on the web. The system includes a field equipment kit which is comprised of various kinds of equipments for capturing the location of a damaged area, damage cause information, damage images and moving images, and voice information and transmitting them to a server; a damage investigation information receiving server which receives data that is created in the field equipment kit and transmitted therefrom through wireless communication, analyzes / stores disaster data, and classifies / processes the disaster data; a web server which receives data classified suitably for a homepage, a disaster register, a web-GIS, etc. and establishes a disaster register DB and a web DB; a web-GIS server which updates and stores geographical information and geographical property information linked with the web server; and a client terminal which connects to the web server and the web-GIS server to generate a retrieval signal of disaster information and displays the information on the screen.

The invention relates to a gear-type anti-falling safety protection device detection and test equipment of a construction lifter, consisting of a cage, a drive mechanism, a safety device testing frame, a guide rail rack, a sensor and a signal processing system. The drive mechanism is arranged on the cage, the safety device testing frame is connected with the cage through the sensor, a safety device to be detected is arranged on the safety device testing frame, the cage and the safety device testing frame are connected with a guide rail rack fixed on a base through guide wheels, and the cage and the safety device testing frame make vertical movement along the guide rail rack under the effect of the drive mechanism. The detection and test equipment of the invention has the advantages of (1) high function, complete detection parameter, large range and suitability for detection of gear-type anti-falling safety device; (2) high automatic degree, convenient loading, full-automatic measurement, recording and treatment of detection date and automatic completion of detection report; (3) good safety and multi-protection; (4) strong test authenticity; and (5) strong database management function.

The invention provides an emotion monitoring method and system. The method comprises steps as follows: acquiring ECG (electrocardiogram) data, psychological scale data and motion data of a user; monitoring emotions of the user by the aid of an emotion judging model according to the acquired ECG data, psychological scale data and motion data to generate monitoring results of the emotions of the user. The emotion monitoring method and system solve the problem that existing psychological health related products using mobile client terminals are not accurate enough in emotion judgment.

The invention provides a monitoring method for running safety of an electric vehicle. The method comprises steps as follows: firstly, determining the torque requirement, and then calculating the power requirement for meeting the torque requirement; secondarily, calculating and taking one or more kinds of actual torque and / or one or more kinds of nominal torque of a current electric drive system as a torque parameter, and then calculating and taking one or more kinds of actual power of the electric drive system as a power parameter; finally, comparing the torque requirement with the torque parameter and / or comparing the power requirement with the power parameter for failure judgment, so that the running safety of the electric vehicle is monitored. The safety performance of the vehicle is judged by using two characteristics, namely, torque and power, problems that only the torque characteristic is used, the judging method is single and erroneous judgment and missing judgment can be caused easily in the prior art are solved, the vehicle safety is monitored by using the power characteristic and the torque characteristic, multi-aspect redundancy check can be performed by using various signals, the failure detection sensitivity is increased, and the detection credibility is increased through mutual check.