536results about How to "Comprehensive assessment" patented technology

Methods and apparatus for improving measurements of cardiovascular health status in a given individual are provided. The comprehensive assessment of cardiovascular health includes at least two components: risk factor assessment based on epidemiologic studies and functional status of the individual. Structural studies of the individual can also be included in the comprehensive assessment of cardiovascular health. The invention aims to improve detection, treatment, devices, and administration of cardiovascular risk assessment.

The invention relates to a physiological signal quality evaluation method and system based on constrained estimation. The method comprises the following steps: receiving to-be-evaluated signal sections of a quasi-periodic physiological signal, performing pretreatment, waveform analysis identification and signal period segmentation to the signal sections, carrying out feature point detection to each cycle of signal section, and extracting preset physiological feature parameters of the physiological signal; for each signal section, combining the extracted physiological feature parameters to form feature vectors, performing constraint-based modeling according to transcendental knowledge of the physiological signal, and further establishing an analyzable evaluation system with constraint timing; and using a constraint evaluation model to trace sequential change of physiological parameters, combing a preset rule base and sequential change information, rating the signal quality of the quasi-periodic physiological signal, evaluating the validity of signal data of the signal sections of the quasi-periodic physiological signal, updating a time sequence evaluation system, and rating according to iteration of the periodic signal sections until the signal quality rating of all the signal sections of the quasi-periodic physiological signal is finished.

The invention discloses WLAN (Wireless Local Area Network) quality monitoring system and method and application, wherein the method comprises the following steps of: issuing a WLAN quality testing task to a monitoring terminal by using an operation maintenance center through a mobile communication network; monitoring the WLAN quality of a local WLAN access point by using the monitoring terminal according to the WLAN quality testing task, and then reporting a monitoring result to the operation maintenance center by using an WLAN; and carrying out statistic and trend analysis to the received WLAN quality monitoring result by using the operation maintenance center to evaluate the network quality of the local WLAN access point of the monitoring terminal. The system overcomes the subjective defect existing in an artificial route measuring method and greatly saves the monitoring cost.

The invention discloses a routing protocol design method based on link quality and node forwarding capacity. The problems that in an existing routing protocol based on the geographic position, data grouping end-to-end transmission path selection is low in efficiency, consequently, the data grouping delivery rate is small, and network throughput is small are solved. The realizing scheme includes the steps that parameters which are related to node quality and include the motion direction, the distance, the link quality and internal forwarding capacity are calculated; then, candidate adjacent node set selection and node priority ranking are conducted through a screening mechanism and a weighting algorithm; based on a candidate adjacent node set and node priority information, an opportunity forwarding strategy is executed on data grouping. On the premise of ensuring acceptable data grouping end-to-end delay, the delivery rate of data packages and the network throughput are increased. The routing protocol design method can be applied to communication among vehicles in car networking, effective information exchange among the vehicles is achieved, and safety and efficiency of vehicle traffic are improved.

The invention discloses an evaluation method of a leather-making industry technology based on a fuzzy comprehensive evaluation method. The method comprises the steps of: utilizing a multi-index hierarchy analysis method and fuzzy comprehensive evaluation in the evaluation to consider the influence factors such as economy, society, environment and performance and the like, and on the basis of establishing a multi-hierarchy evaluation index system, combining a multi-hierarchy index weight analysis method and the fuzzy membership concept of uncertain indexes in fuzzy mathematics. In the evaluation method, the comprehensive and reliable evaluation can be carried out on the whole production process of the leather-making industry, and effective technical support can be provided for environment management such as the evaluation on environmental influence of the leather-making industry, engineering design, construction, inspection and acceptance, operation management and the like.

The invention relates to the field of expansion planning and safety analysis on electrical power systems. In order to provide a systematized method and a relatively perfect assessment process for the safety assessment on a planning scheme, the technical scheme adopted by the invention is as follows: a method for assessing a safety value of a planning scheme for an electrical power system containing large-scale wind power comprises the following steps: 1, establishing a power supply-power grid unified planning model for taking account of static and dynamic safety values of the system; 2, beginning to carry out detailed operation simulation on candidate planning schemes; 3, after units are combined, carrying out safety assessment on the system time interval by time interval; 4, carrying out comprehensive safety control optimization on an contingency set by using a 'positive constraint and relaxation method' so as to obtain the optimal division of a preventive control contingency set and an emergency control contingency set; and 5, obtaining the total cost of the planning scheme, and taking the total cost as a basis for evaluating the planning scheme. The method disclosed by the invention is mainly applied to the expansion planning and safety analysis on the electrical power systems.

The invention provides an electrical network operation risk assessment method of a wind electricity large-scale tripping. The method comprises the following steps of: simulation of a wind electricity large-scale tripping accident caused by a fault, a risk assessment of electrical network transient stability after disturbance, the risk assessment of system frequency stability after the disturbance, and the risk assessment of voltage stability after the disturbance. The method of the invention quantizes the risk of the wind electricity large-scale tripping from each aspect of the electrical network operation, so that the effects of preventing the wind electricity tripping and improving the electrical network safety are achieved.

The invention discloses a detection and evaluation device and method for partial discharge of direct current XLPE cables. The detection and evaluation device comprises a detected cable and a direct current partial discharge detection device used for acquiring partial discharge signals. The two ends of the detected cable are connected with a direct current high-voltage output device and a current output device. A temperature detecting device is arranged on the detected cable. According to the detection and evaluation device and method, the means suitable for alternating current partial discharge detection and analysis is adopted according to the difference of direct current partial discharge and alternating current partial discharge, and the blank of a direct current partial discharge detection and analysis method is filled. The influence of temperatures on particle discharge is considered, the comprehensive analysis mode that the measurement result of partial discharge measurement which is conducted in the state of simulating cable no-load or being in an offline state under the normal temperatures and the measurement result of partial discharge measurement which is conducted of simulating the cable in an on-load state by the current output device are combined is adopted, and the insulation condition of the cable is more comprehensively evaluated.

The invention discloses an integrated power grid optimization auxiliary decision analysis system comprising an external data server, a system database, a data extraction service module, a data transformation service module, a data management service module, a graphics generation engine module, a graphics editing engine module, a topological analysis engine module, a grid rack data management module, a grid rack analysis evaluation module, a grid rack optimization management module and a business expansion auxiliary decision module. According to the integrated power grid optimization auxiliary decision analysis system, a whole network contact map of power grid racks is generated, the existing grid racks are analyzed by utilizing grid rack device data and real-time operating data, operations are carried out on the whole network contact map to simulate optimization, change and business expansion access of the grid racks, and the simulated grid racks are analyzed for solving the problem that various technical specifications, typical design guidelines and the like are not effectively applied to construction and renovation of a power grid so that the construction and the renovation of the power grid have blindness and the problems of insufficient analysis to the current situation of the power grid by a business expansion access scheme and unreasonable selection of an accesses point.

The invention discloses a tailing pond layered index safety assessment and early-warning method and system. The method comprises the steps that a three-level safety index system is built, wherein the three-level safety index system comprises four second-level indexes which are the stockpiling system, a drainage system, a risk system and a management system and fifteen three-level indexes which are the pond water level, the rainfall capacity and the like; a tailing pond safety assessment model is built, and the safety index system is utilized for assessing the overall safety state of a tailing pond; a tailing pond safety early-warning model is built, and early-warning judgment is carried out; the safety early-warning model comprehensively figures out a dynamic change curve of the future pond water level in the flood season by means of data collected in real time and weather forecast information transmitted by the network, the data collected in real time and measured by the safety assessment model to carry out comprehensive safety assessment and evaluation on the tailing pond, dangerous trend classification is carried out according to assessment, then the classification information is put into a pond water level-dam break model, the dam break risk is comprehensively calculated according to the classification information and a predicted pond water level value, and early-warning judgment is carried out according to the risk. The early-warning effect is accurate, reasonable and comprehensive.

The invention provides a television viewing rate assessment method based on an internet protocol television (IPTV). The television viewing rate assessment method based on the IPTV comprises the steps of performing meta index calculation, namely calculating acquired original television viewing data according to a preset index algorithm to obtain a plurality of television viewing meta indexes; performing dimensionless processing to the television viewing meta indexes to generate a plurality of normalized television viewing meta indexes; establishing a television viewing space, namely selecting the plurality of corresponding normalized television viewing meta indexes to establish a multidimensional television viewing space, wherein each normalized television viewing meta index represents one dimension of the television viewing space, and different television viewing behaviors are represented by television viewing spaces with different dimensions; and performing television viewing index calculation, namely calculating the television viewing indexes of the television viewing behaviors according to the television viewing space. Correspondingly, the invention further provides a television viewing rate assessment system based on the IPTV. Therefore, the television viewing behaviors of users can be objectively and comprehensively.

The invention relates to a tester of thermal protection of a fabric system. The tester which comprises a thermal exposure simulation case, a water pump, a skin temperature simulation datum acquisition system and a temperature and humidity datum acquisition system is characterized in that: a basal case with heating tubes provided therein is arranged under the thermal exposure simulation case; the outside of the thermal exposure simulation case is provided with a housing, and the top of the thermal exposure simulation case is provided with a sensor pedestal; a skin simulation sensor which is connected with the skin simulation temperature datum acquisition system is arranged in the sensor pedestal; the lower surface of the skin simulation sensor is provided with a capillary outlet pipe network; the capillary outlet pipe network is connected with the water pump by a water tube, wherein the water pump is connected with a constant temperature water bath; an comfortable layer attached fabricsystem thermal insulation layer, a waterproof ventilating layer, and an outer layer which are sequentially superposed are fixed under the capillary outlet pipe network by fabric clamping devices; a space block is arranged between the fabric clamping devices and the capillary outlet pipe network; a thermal insulation board is arranged under the outer layer; and temperature sensors and humidity sensors which are connected with the temperature and humidity datum acquisition system are arranged at appropriate positions. The tester of the invention allows thermal protection assessment to be carried out in the condition of continuous wetting.

The invention discloses a computational fluid mechanics-based cerebrovascular reserve capacity simulation system and method. The system comprises an image data collection module used for obtaining a computed tomography image of a brain blood vessel of a human body, a blood vessel three-dimensional reconstruction module for performing three-dimensional reconstruction on the computed tomography image, a boundary condition extraction module for performing post-processing on the computed tomography image of the brain blood vessel to obtain boundary information required for simulation, a CFD preprocessing module for performing preprocessing required for numerical simulation on a three-dimensional geometric model of the brain blood vessel, a CFD computing module for performing solving on hemodynamics information of all parts of the three-dimensional geometric model of the brain blood vessel, and a CFD post-processing module for comparing a simulation result with a result measured by the boundary condition extraction module. Hemodynamic feature parameters are adopted as standards for evaluating cerebrovascular reserve capacity, so that the one-sidedness of judgment through a geometric structure of the brain blood vessel is avoided, and noninvasive, quantitative and personalized cerebrovascular reserve capacity evaluation can be realized.

A test system of oxygen transducer used on automobile comprises fuel output unit for mixing fuel with air to generate mixture, combustion unit including ignition element and combustion chamber with air exhaust pipe, oxygen transducer set on air exhaust pipe with its head being inserted into said pipe to sense residual oxygen concentration in tail gas, signal collection unit for receiving signal outputted by oxygen transducer.

The invention relates to the technical field of aviation safety, and discloses a QAR data and Bayesian network-based flight risk analysis method. The method comprises the following steps of: 1) extracting a flight risk key parameter; 2) determining Bayesian network nodes and defining a calculation caliber of each node; 3) constructing a Bayesian network; 4) determining a prior probability of a root node in the Bayesian network and a conditional probability of an intermediate node in the Bayesian network; and 5) reading a section of QAR data, and inputting a risk factor occurrence state of theQAR data into the Bayesian network to obtain a target event occurrence probability. According to the method, the Bayesian network is imported, and quantified key risk points are taken as the nodes ofthe Bayesian network so as to establish a risk analysis model. The prior probability of the network is determined by using mass history QAR data, so that forward rational analysis and backward diagnosis analysis can be carried out by utilizing the established network structure, and an association relationship between specific unsecure events and risk factors can be assessed more comprehensively.

The present invention relates to the technical field of teaching management system, especially to a teaching quality assessment method. The method comprises the following steps of: a data collection step, wherein a classroom data collection module collects video data in a classroom; a video analysis step, wherein a video analysis module analyzes video data and identifies identity and motion of personnel in the video; a student attendance assessment step, wherein an attendance assessment module calculates students' attendance data; a motion discipline assessment step, wherein a classroom discipline assessment module performs statistics of students' behaviors of violating disciplines and generates student motion discipline data; an interaction assessment step, wherein an interaction assessment module performs statistics of data of the number of interaction between teachers and students according to an identification result of students' motion postures; and a statistics step, wherein an assessment statistics module generates a curriculum assessment result of a curriculum according to all the classroom assessment data of the curriculum to be assessed. The teaching quality assessment method can solve the problems that an assessment result is not objective and fair and small in sampling range in the current teaching quality assessment process.

The invention discloses a data management system based on river ecological monitoring. The data management system comprises an ecological monitoring and evaluating module, a data management platform and a forecasting and early warning module, wherein the ecological monitoring and evaluating module is used for evaluating monitored river monitoring data according to multiple evaluation indicators to obtain an ecological monitoring and evaluating result of a river, and the ecological monitoring and evaluating result comprises the health condition, existing problems and development trend of a river ecological system; the data management platform can be used for managing the monitored river monitoring data and taking the ecological monitoring and evaluating result as shared data to realize information sharing and communication; and the forecasting and early warning module is used for forecasting and early warning the river based on the river monitoring data and the ecological monitoring and evaluating result. The data management system can be used for accurately and comprehensively evaluating the repair or maintenance effect of the river ecological system, thus comprehensively judging the ecological regime of the river from multiple aspects, and forecasting and early warning different emergencies.

The invention discloses a method for evaluating the network trust level, which comprises the steps as follows: a trust request for a network entity to be tested, which is sent by a network accession user, is received; the trust information related to the network entity to be tested is extracted, and the trust information includes a historic direct trust level, a recommendation trust level, a current direct trust level, a recommendation main credibility and a trust timestamp; and the trust level of the network entity to be tested can be worked out according to the related trust information. The embodiment of the invention also discloses a device which can evaluate the network trust level and a communication system thereof. The technical proposal of the invention can comprehensively and effectively evaluate the trust level of the network to be tested, and can perfectly deal with strategic attacks executed by malicious networks and assailment or cooperative cheat executed by the malicious recommending users.

The invention relates to a data processing method for bank loan application management. The data processing method comprises the steps that an order generating system receives loan application data and compares the received loan application data with the products of a loan product memory to generate order information, wherein the order information comprises a client marker and a marker of corresponding loan products; an auditing module inquires non-processed order message in an order data memory and audits the non-processed order message by an auditing system; the auditing system obtains the loan data according to the order information and the corresponding loan product information, audits, then updates the conditions of order information in the order memory and loan data information in the loan memory after finishing auditing, and returns auditing results to client sides. According to the financial auditing method provided by the embodiment of the invention, reasonable management and control of loan application risk can be realized.

The invention discloses a host risk evaluation method and a host risk evaluation device. The method comprises the following steps of: detecting the bug information and network connectivity information of all hosts in a network; determining an attack path in the network according to the bug information and the network connectivity information; and determining the total risk of any target host based on the bug information and the attack path. In the method and the device, the thought of actively and dynamically evaluating potential bugs and risks by the attack path is put forward for the first time, so that host risk evaluation is more perfect, and effects are more ideal. Own bugs of the host and threats from the attack path in the network are combined, so the potential risks of the host can be explored more deeply.

The invention relates to a multi-standard collaborative fraud detection method based on credit accumulation, and is used for discovering collaborative fraud organizations and identifying the members thereof. The method comprises the following steps that 1) a single suspicious user node is detected and marked in a social network, and the set of all the suspicious user nodes is acquired by using a credit accumulation model; 2) the suspicious relation of the suspicious users in the set delta is judged, and the collaborative fraud organization models to which all the suspicious users belong in the set delta are classified; and 3) the organizers in the classified collaborative fraud organization models are monitored and identified. Compared with the methods in the prior art, the multi-standard collaborative fraud detection method based on credit accumulation has the advantages of being wide in detection objects, advanced in algorithm and comprehensive in assessment.

The invention discloses a graded diagnosis and treatment evaluating method based on data mining. The method comprises the steps: extracting essential information and diagnosis and treatment information on patients from medical records, associating the essential information and the diagnosis and treatment information with disease category information and medical institution information, and firstly, carrying out data cleaning and missing value filling so as to divide the patients into patients of different flow directions; then, calculating graded diagnosis and treatment monitoring indexes by using the data; portraying visiting behaviors and features of different patients by a GainRatioAttributeEva feature selection algorithm and a RIPPER sorting algorithm. According to the method, through evaluating graded diagnosis and treatment by qualitative indexes and quantified indexes, the defects in the current graded diagnosis and treatment evaluating methods that only the quantified indexes exist, the indexes are required to be reported layer upon layer, mis-reporting and confused reporting occur during reporting, and the tracking of reasons behind the indexes is absent are overcome; by using a data mining technology, graded diagnosis and treatment evaluation is more timely and accurate.