88 results about "Expert opinion" patented technology

A method and system, executed by a server, is disclosed for receiving questions from users regarding one or more topics and providing answers from a set of experts. Users can direct questions to one or more specific experts, who in turn can answer the questions, refer the questions to other experts, or both. The server automatically organizes and stores questions and answers in various for a dedicated to one or more topics, such as medical treatment for specific health conditions. Responses generated by the experts to the questions asked by the users may, in turn, be reviewed by peer review personnel. The system may be deployed at multiple network sites to provide a question and answer forum to users who visit different sites. Each network site in which the system is deployed may selectively decide whether to post at its network site the responses by experts and / or peer review personnel to questions originating from other network sites. In addition, each network site can selectively decide whether the responses by experts and / or peer review personnel to questions originating at their network site should be permitted to be posted on other network sites. Methods for funding a network site according to the present invention include the provision of advertising banners, receiving subscription payments or fees from user / subscribers for receiving expert opinions, and receiving payments from third party sponsors. Users who access the site may, in turn, receive benefits in exchange for soliciting such expert opinions.

The present invention relates to method and system for automatic control of image quality in imaging, of an object using, for example, an ultrasound system. The method comprises transmitting image generating signals into the object using selected system parameter sets of the imaging system. The imaging system has a number of different system parameter sets based on an image ranking measure reflecting a subjective expert opinion of a pre-defined set of images. The captured images are analyzed with respect to at least one image quality feature to determine an image quality metric for each image. The respective image quality metric for each image are analyzed to identify an image associated with a highest image quality metric and the system parameter set used for generating the image associated with the highest image quality metric can be selected as system parameter set for imaging of the object.

A method and apparatus for collecting and graduating opinions about people and products, aggregating and normalizing all opinions about a given object to one value, for searching and automatic matching potential business partners. The system consists of: social network in which users define their relationship types; reference system which graduates users' opinions basing on relationship types within the social network; innovative unilateral relationships within the social network for using experts' opinions, in which the experts' approval is not required but connection may be realized at a certain fee; application which aggregates and normalizes all information about the user or product to one value, whereas the value itself also depends on who it is presented to; application for organizing biddings, in which the system automatically presents bidding offers to users with highest opinions value and allows the both contracting parties to evaluate each other's work by submitting their public opinions.

The present invention provides tools to help readers select among large number of written documents by ranking using similarity level in meaning. The ranking tools also can be combined with other ranking methods such as ranking in popularity or ranking by expert opinions. Potential applications include ranking of web pages, electrical mails, academic articles, patent publications, The Bible, or other written documents.

The invention discloses a regional flood disaster risk evaluation and estimation method coupling a GIS algorithm and a GBDT algorithm. The method comprises the following steps: constructing a regionalflood disaster risk evaluation index system based on four types of disaster-causing factors, disaster-pregnant environments, disaster-bearing bodies and disaster prevention and reduction capacities,and normalizing the regional flood disaster risk evaluation index system to generate evaluation index layers; obtaining the optimal combination weight of each evaluation index, and generating four types of regional flood disaster risk distribution map layers; determining a final historical region flood disaster risk division map based on expert opinions; and constructing a regional flood disasterrisk evaluation model, predicting a future regional flood disaster risk, and generating a future regional flood disaster risk division map by using ArcGIS. The method has superiority for multivariatebig data processing, is suitable for basin or regional flood risk assessment and prediction, and can remarkably improve the calculation precision and the reliability of assessment and decision making.

The invention provides a method for comprehensively evaluating electric energy quality based on a grey theory. The method comprises the following steps that the weight of an electric energy quality evaluation index is calculated through an objective weighting entropy evaluation method; the weight of the electric energy quality evaluation index is calculated through a subjective weighting AHP method; the weight vector of the electric energy quality evaluation index is determined; the electric energy quality is comprehensively evaluated based on grey correlation analysis in the grey theory. Through the adopted combination weighting method, the defects of the single weighting method that the subjectivity of people is relied on too much in a subjective weighting method and expert opinions cannot be reflected in an objective weighting method are overcome, the expert opinions can be reflected, the actual condition of the electric energy quality can be reflected, and all subitem index weight coefficients of the scientific electric energy quality are obtained. The grey correlation analysis method is adopted on this basis, a sample to be evaluated is compared with standard samples of all electric energy quality level grades, and the comprehensive evaluation result of the electric energy quality can be objective and simple.

The invention discloses a residential building indoor environment monitoring and health grade evaluation Internet of Things system, and belongs to the fields of the residential building indoor environment detection technology and the information communication technology. The residential building indoor environment monitoring and health grade evaluation Internet of Things system is characterized in that indoor various-function room environment parameters are acquired in real time by utilizing data acquisition modules, and influence weights and health risk grades of the various indoor environment parameters on human health are comprehensively analyzed; and an expert opinion on improving of a corresponding environment condition and an expert strategy for improving the corresponding environment condition are given. An Internet of Things real-time data monitoring system is built at the same time, data can be timely transmitted to a user display terminal and a remote central service system, and the data can be taken as basic research data and a decision basis of a relevant government department. The residential building indoor environment monitoring and health grade evaluation Internet of Things system is advantageous in that the problem that the fact that the indoor environment is represented by a single parameter is unscientific is solved, real-time monitoring of the residential environment indoor comprehensive evaluation parameters and user mobile terminal contrast result synchronous searching can be achieved at the same time, and an suggestion for effective improvement of the environment and a measure for effectively improving the environment are obtained; and the residential building indoor environment monitoring and health grade evaluation Internet of Things system has the advantages of the wide application aspect and the high popularizing rate.

Systems and methods are provided that predict the accuracy of expert forecasts based on a corpus of prior expert forecasts. Expert forecasts (also referred to as opinions) are analyzed and processed to determine an opinion and related positions expressed by the expert. Each opinion is combined with relevant industry information to create a structured model for the opinion. A plurality of structured models for a given expert are then analyzed along with information related to the actual outcome of prior predictions to create a decision model for the particular expert. A new opinion issued by an expert is then analyzed using the decision model for that expert to predict the accuracy of the new opinion from the expert. Recommended actions in accordance with or against the new expert opinion may then be provided.

A system and method for representing and incorporating available information into uncertainty-based forecasts is provided. The system comprises a new class of models able to efficiently and effectively represent uncertainty-based forecasts with a wide range of characteristics with greater accuracy. Further, methods provide for selection of a most appropriate model from the class of models and calibration of the selected model to all available data, including both directly relevant historical data and expert opinion and analysis. An output is a model that can be used to generate an uncertainty-based forecast for a variable or variables of interest accurately and efficiently. In addition, methods for refining input data and testing and refining the output representation of the uncertainty-based forecast are provided.

The invention discloses a self-correcting redundancy switching mechanism for a spacecraft system and a verification method thereof. The invention adds the redundancy switching mechanism with the feature of self-correcting into the spacecraft system and provides the verification method thereof. The subsystems of the each spacecraft are communicated by a 1553B bus, and are respectively communicatedwith a ground monitor and control system by an Ethernet communication module. The ground monitor and control system immediately detects the fault state of the spacecraft system, and injects fault as well as a control instruction, thereby being capable of significantly improving the high efficiency and the safety of the redundancy switching mechanism of a complex system. By accumulating and optimizing expert opinions, the invention can reduce unnecessary backup switch, has significant research meaning for improving the long-time endurance capability, can immediately switch the fault of a key sensitive part, prevents from an uncontrolled state, and guarantees the safe operation of the system. The method has significant meaning for realizing the reliability research of a spacecraft autonomous intelligent control system.

A method for quantitative estimation of the reliability of a technical system for complex systems with a multiplicity of components. First, second and third failure rates are distinguished for the system components. An upper, lower and, if appropriate, mean value are in each case estimated for the largely unknown second failure rates by subjective expert opinion, and all upper, lower and, if appropriate, a mean probability distribution and, if appropriate, a mean probability distribution of the system reliability. Systematic correlations between expert estimates are thereby taken into account. For the first failure rates, mean values obtained from operational experience are determined with a confidence interval, and widened Poisson distributions are calculated. Furthermore, it is possible to add to the overall probability of the system reliability the Poisson distribution of third types of fault whose failure rates are known a priori or with a high statistical reliability.

Information concerning personal investment and finance is developed and stored in first and second data sets containing topics and issue-questions related thereto. The information is accessed from these data sets by selectively combining an issue-question with at least one topic to produce a primary information product. A program means associated with the data sets modifies the primary information product by imposing thereon a plurality of answer-options to the selected issue-question. Each answer-options comprises at least one expert opinion and at least one prudent-investor opinion, stored in third and fourth data sets. The imposition of answer-options on the information product produces a polycentric information product, which is readily communicated by oral, written or electronic means. Advantageously, the method provides to a user a range of focused responses to an investor's questions in a time-efficient manner in order for investors to make prudent investments given their priorities and personal preferences.

The invention refers to a method and system for recommending items of interest to a target and more particularly to a recommender system predicting user interest based on expert opinions.

A system and method for representing and incorporating available information into uncertainty-based forecasts is provided. The system comprises a new class of models able to efficiently and effectively represent uncertainty-based forecasts with a wide range of characteristics with greater accuracy. Further, methods provide for selection of a most appropriate model from the class of models and calibration of the selected model to all available data, including both directly relevant historical data and expert opinion and analysis. An output is a model that can be used to generate an uncertainty-based forecast for a variable or variables of interest accurately and efficiently. In addition, methods for refining input data and testing and refining the output representation of the uncertainty-based forecast are provided.

The invention discloses an evaluation method for a soft foundation treatment scheme. The method comprises the following multiple steps of: a. classifying whether soft soil is subjected to shallow, medium and deep treatment by applying a case-based reasoning technology; b. determining an evaluation index system with a Delphi method; c. obtaining an evaluation index weight with a combined weighting method combining an entropy weight method with an analytic hierarchy process; d. screening evaluation indexes by applying fuzzy cluster analysis; and e. calculating a grey evaluation weight by applying grey correlation analysis in a grey theory, establishing a fuzzy weight matrix and calculating a final evaluation result with a fuzzy comprehensive evaluation method. According to the method, different theories and methods are applied in links of evaluation work, so that the defect of excessive dependence on expert experience in a conventional evaluation method for a soft foundation treatment scheme is overcome, both expert opinions and actual situations can be reflected, and the reliability of a comprehensive evaluation result is high.

A method of valuation of large groups of assets using an iterative and adaptive statistical evaluation to generate asset values is described. Individual asset values are developed and listed so that individual asset values can be rapidly taken and quickly grouped in any desired or prescribed manner for bidding purposes. One method of automated underwriting includes defining clusters of financial instruments by common attributes, receiving an expert opinion of value from selected samples of the clusters, checking values for combinations of attributes and reconciling the values. A collective valuation of the assets is established by cumulating the individual valuations.

The invention discloses an information management system of a crane. The information management system of the crane comprises a crane operating system, a data recording system, a fault monitoring system, an equipment management system, a component life monitoring system and a fault diagnosing and analyzing system, wherein the component life monitoring system records the operating time of the important components of the crane in real time, monitors the relevant environments in which the components are positioned and the operating situations of the components by means of a sensing element, i.e. monitoring the operating time, the relevant environments and the operating situations of a contactor, a brake, a motor, a frequency converter and a voltage regulator in the crane, and acquires the residual service life of the components by carrying out difference value computing on the known service life of the components and the monitoring results; and the fault diagnosing and analyzing system is used for calling expert opinions corresponding to an event input by field staff from a database and displaying the expert opinions for the field staff through a display device. The system of the invention has strong logic control performance, high reliability and favorable compatibility and generality, and is suitable for being widely popularized in hoisting equipment.

A system and method for establishing an estimate for proposals and other customer requests which precludes an extensive up front investment in expert opinion and design. This is accomplished by applying a pattern-based technique toward rough application effort sizing called herein “Web Based Macro Patterns.”

The present invention relates to method and system for automatic control of image quality in imaging of an object using, for example, an ultrasound system. The method comprises transmitting image generating signals into the object using selected system parameter sets of the imaging system. The imaging system has a number of different system parameter sets based on an image ranking measure reflecting a subjective expert opinion of a pre-defined set of images. The captured images are analyzed with respect to at least one image quality feature to determine an image quality metric for each image. The respective image quality metric for each image are analyzed to identify an image associated with a highest image quality metric and the system parameter set used for generating the image associated with the highest image quality metric can be selected as system parameter set for imaging of the object.

The invention belongs to the field of electric power systems, and particularly relates to a method for evaluating relay protection states. The method includes the steps: firstly, determining single state quantities of state evaluation to acquire acquisition; secondly, building a hierarchical state evaluation system; thirdly, computing constant weight coefficients and variable weight coefficients of the single state quantities according to association rules and variable weight theories; fourthly, building membership functions of the single state quantities for state rates by a fuzzy distribution method, building a fuzzy relation matrix, and gradually computing fuzzy comprehensive evaluation result vectors; finally, judging the running state of a relay protection device according to a maximum membership principle. The influence of expert opinion subjectivity on the weight coefficients is avoided, the method contributes to solving the problem that a real running state of the relay protection device cannot be reflected by the constant weight coefficients, an accurate and simple relay protection state evaluation result is provided for operators and can serve as a state maintenance basis, the design thinking is clear, programming is easily realized, and transplantation between different programming environments is facilitated.

The invention provides an experience-feedback-based nuclear power equipment preventive replacement cycle optimizing method, which comprises the following steps of: obtaining an initial value of an equipment preventive replacement event by utilizing expert opinions according to equipment grading, and calculating the prior information of distribution of probability of no failure of equipment in a preventive replacement cycle; and performing correction in combination with practical field running experience feedback by adopting a Bayesian theory to obtain corresponding posterior information, and comparing the probabilities of no failure before and after the preventive replacement cycle is corrected, and performing optimization to finally obtain the optimal replacement cycle of the nuclear power equipment. The method is rational and reliable, and the application security of the nuclear power equipment can be effectively improved.

A computer-implemented method of facilitating communication between a care giver and a care provider. The method includes receiving identifications of one or more of primary complaints and selecting data collection questions based at least in part on the identified primary complaint(s). The questions are presented to the care giver in non-expert language and configured to help identify a medical problem associated with the medical issue, but not to diagnosis the medical problem. After responses to the questions are received from the care giver, an Intelligent Resident Note is constructed and displayed to the care provider. The care provider enters or selects a diagnosis and one or more medical protocols for inclusion in a management protocol. The management protocol may include one or more instructions related to treat the medical problem that are sent to the care giver. The care giver confirms when each instruction has been performed.

The invention relates to a subjective-and-objective mixed evaluation method for constructing a power system cloud platform. The method is characterized by comprising the following steps of1, analyzinginfluence factors for constructing the power system cloud platform, and constructing a power system cloud platform construction and evaluation index system; 2, solving an index weight value by meansof the subjective-and-objective mixed weight determining method in which a hierarchy analysis method and an entropy weight method are combined based on the power system cloud platform construction andevaluation index system which is established in the step 1, and establishing a subjective-and-objective mixed evaluation model for constructing the power system cloud platform; and 3, performing comprehensive evaluation on construction of the power system cloud platform, and obtaining a power system cloud platform construction evaluation valve F. According to the subjective-and-objective mixed evaluation method, the entropy weight method and the hierarchy analysis method are combined; the subjective-and-objective mixed weight determining method in which the hierarchy analysis method and an entropy weight method are combined is selected for solving the weight determining value; and defects of overhigh subjectivity of an expert option in a subjective weight determining method and overhigh randomness of measured data in a subjective weight determining method.

The present invention relates to a network load comprehensive evaluation method, in particular to a WLAN load comprehensive evaluation method based on an FAHP-SVM theory. The method comprises the following steps of 1 establishing a WLAN load comprehensive evaluation index system; 2 selecting a learning sample of a machine learning algorithmic; 3 adopting an analytic hierarchy process to determine the weights of the indexes in the WLAN load comprehensive evaluation index system; 4 utilizing a fuzzy comprehensive evaluation method to determine a network load evaluation value and a load evaluation grade of the sample data; 5 using the machine learning algorithmic to support the vector machine model training to obtain a network load automatic evaluation model; 6 using a WLAN load evaluation model to output a load value and a load grade corresponding to a network at this moment according to the inputted real-time WLAN performance data. The WLAN load comprehensive evaluation method based on the FAHP-SVM theory of the present invention utilizes the expert knowledge fully, also does not depend on the specific expert opinion, so that an evaluation result is objective. By using a machine learning classic algorithm SVM, the automatic evaluation of the WLAN performance is realized, and the labor cost is reduced substantially.

The invention provides a fuzzy comprehensive evaluation method for the efficiency of secondary equipment of an intelligent transformer substation, aiming at solving the problems that an existing evaluation method for the energy efficiency of the secondary equipment of the intelligent transformer substation is complex in process, high in calculation difficulty and low in efficiency, and subjectivefactors greatly influence an evaluation result in the evaluation process. The method comprises the steps of collecting expert opinions through an electronic conference analysis method, and calculatingthe weight of a first-level evaluation index; Establishing a fuzzy relation matrix of each primary evaluation index by utilizing the selected membership function, and further determining the weight of the secondary evaluation index under each primary evaluation index; And obtaining a fuzzy comprehensive evaluation result of each primary evaluation index through the weight of the secondary indexesand the fuzzy relation matrix, analyzing the fuzzy comprehensive evaluation result, and finally obtaining an evaluation result of the energy efficiency of the secondary equipment of the intelligent substation. According to the method, the working efficiency is improved, the system and the equipment can be quickly optimized, the influence caused by subjective opinions is reduced, and the reliability of an assessment result is improved.

A failure criterion determination method based on function analysis and mechanism analysis includes a first step of carrying out system level division on products and determining fault bodies of the products at the lowest level and functions of the fault bodies, wherein the 'system level division' refers to the fact that a system is divided into subsystems and components in sequence until smallest analysis units, and the 'lowest level' refers to the fact that the lowest level which can meet technical requirements, a second step of searching possible failure modes and failure mechanisms according to failure mode impact analysis and consultation of expert opinions, analyzing related relations between the failure modes and the failure mechanisms, and building correlation matrixes of the failure modes and the failure mechanisms, and a third step of carrying out classification specific to different function decay modes, combining the established correlation matrixes of the failure modes and the failure mechanisms in the second step, inspecting whether the failure modes are measurable, and determining the failure criterion after classification and corresponding measurability analysis are finished. The failure criterion determination method is wide in applicability, capable of obtaining the appropriate failure criterion, and good in application value.