3333 results about "Analysis models" patented technology

One embodiment of the present invention provides a system that determines an assist feature placement. During operation, the system receives an initial assist feature placement for a layout. Next, the system determines assist feature perturbations using the initial assist feature placement. An assist feature perturbation typically comprises a few simple polygons. The system then determines perturbation values at evaluation points in the layout using the assist feature perturbations and an analytical model. If a process-sensitivity model is used, the perturbation value at an evaluation point is associated with the change in the through-process window at that point in the layout. Next, the system determines a change in the value of an objective function using the perturbation values. The objective function can be indicative of the overall manufacturability of the layout. The system then determines an assist feature placement using the change in the value of the objective function. For example, the system can determine an assist feature placement using an assist feature perturbation which minimizes the objective function value.

A system, method, and computer-readable medium for detecting errors on a network. According to a preferred embodiment of the present invention, a network error manager retrieves a network topology from a master subnet manager, wherein the network includes a collection of devices coupled by a first interconnect type. When a connectivity failure is detected in the first interconnect type, the network error manager receives from the master subnet manager at least one event notification via a second interconnect type. An error log analysis component identifies at least one device among the collection of devices as a possible cause of the connectivity failure in the first interconnect type. The network error manager retrieves events from at least one device among the collection of devices that can influence a state of the first interconnect type.

The invention stimulates the production of an oil reservoir by carrying out a sequence of steps of constructing a flow simulator from physical data measured in the oil reservoir; determining a first analytical model relating the production of the reservoir as a function of time by taking account of parameters having an influence on the production of the reservoir, the first model best adjusting to a finite number of production values obtained by the reservoir simulator; selecting at least one new production value, this new value being obtained by the reservoir simulator; and determining a second model by adjusting the first model so that the second model interpolates the new production value.

A method of determining the voltage and current output required for the application of specific and selective electric and electromagnetic signals to diseased articular cartilage in the treatment of osteoarthritis, cartilage defects due to trauma or sports injury, or used as an adjunct with other therapies (cell transplantation, tissue-engineered scaffolds, growth factors, etc.) for treating cartilage defects in the human knee joint and a device for delivering such signals to a patient's knee. An analytical model of the human knee is developed whereby the total tissue volume in the human knee may be determined for comparison to the total tissue volume of the diseased tissue in the animal model using electric field and current density histograms. The voltage and current output used in the animal model is scaled based on the ratio of the total tissue volume of the diseased tissue of the human to the total tissue volume of the diseased tissue in the animal model and the resulting field is applied to the diseased tissue of the human using at least two electrodes applied to the knee or a coil or solenoid placed around the knee. The voltage of the signal applied to the electrodes, coil or solenoid is varied based on the size of the knee joint; larger knee joints require larger voltages to generate the effective electric field.

Systems and methods relating to a method for generating a threat analysis and modeling tool are described. In an implementation, aggregate analysis is performed upon applications of an enterprise for complete risk management of the enterprise. The threat analysis model is generated by defining the application, its attributes and the rules related to the application. An application task list is generated from a common task list for the application. Countermeasures for known attacks pertaining to the application are described in the application task list, which allows the developer to reduce the risk of attacks.

A technique that can obtain right results of a simulation if the user does not have sophisticated knowledge about strength analysis simulations is provided. An analysis data judging apparatus comprises an analysis results acquiring section that acquires analysis data relating to the results of analysis of a strength analysis simulation executed for an object of analysis model and a judging section that determines whether the analysis data acquired by the analysis results acquiring section shows a predetermined deformed state of a predetermined part according to the threshold value set for the predetermined part of the object of analysis model or not.

A method for migration from a multitenant database is shown that includes building an analytical model for each of a set of migration methods based on database characteristics; predicting performance of the set of migration methods using the respective analytical model with respect to tenant service level agreements (SLAs) and current and predicted tenant workloads, where the prediction includes a migration speed and an SLA violation severity; and selecting a best migration method from the set of migration methods according to the respective predicted migration speeds and SLA violation severities.

A method and system for modeling business transformation. The method comprises constructing a first analysis model based on at least one legacy-business-process-model. Analyzing the first analysis model in conjunction with at least one business-process-reference-model. The method further comprises deriving a second analysis model in response to analyzing the first analysis model in conjunction with the at least one business-process-reference-model and refining the second analysis model to obtain a design model.

Methods and apparatus for analyzing tasks performed by computer users by (i) gathering usage data, (ii) converting logged usage data into a uniform format, (iii) determining or defining task boundaries, and (iv) determining a task analysis model by "clustering" similar tasks together. The task analysis model may be used to (i) help users complete a task (such help, for example, may be in the form of a gratuitous help function), and / or (ii) to target marketing information to users based on user inputs and the task analysis model. The present invention also provides a uniform semantic network for representing different types of objects in a uniform way.

The present invention relates to a rail traffic real-time fault diagnosis method based on data comparative analysis and a rail traffic real-time fault diagnosis system based on data comparative analysis. The method comprises the steps of (1) collecting the historical monitoring data and real-time monitoring data of rail traffic signal equipment, (2) according to the correlation relationship between the parameters of the historical monitoring data, obtaining a comparative analysis model of a normal state and a fault state, (3) according to the comparative analysis model of the fault state, generating the classification model of fault through classifier training, (4) for the real-time monitoring data, judging the normal state or abnormal state of equipment operation through the comparative analysis model, and carrying out fault alarming if the state if the abnormal state, (5) for the data of the abnormal state, carrying out fault diagnosis and classification through a fault analysis model, and outputting a fault diagnosis result. According to the method and the system, the fault of the equipment is diagnosed through classification and comparative analysis methods, and the problems of heavy workload, low efficiency and high risk in the artificial diagnosis of a railway signaling system failure are effectively solved.

In accordance with the objects of the present invention, a method of complex product design is provided. The method defines a product design space a base design analysis model is then automatically generated within the product design space. A topology optimization of the base design analysis model is performed including solving the topology optimization for multiple mass fractions to identify critical structure areas. The results of the topology optimizations are utilized to identify a plurality of load paths. An optimization of said plurality of load paths is performed to find the optimized load paths. Critical structure areas along the plurality of optimized load paths are then parameterized. An optimization is performed utilizing a multi-disciplinary optimization to optimize geometry, material and thickness along the optimized load paths. A manufacturing analysis of the shape optimized structure is performed and the shape optimized structure is modified to comply with manufacture requirements. An optimization is then performed using multi-disciplinary optimization comprising a gauge and grade optimization.

The invention discloses a natural language processing-based multi-language analysis method and device. The method comprises the following steps of: selecting to input a natural language text information language category through a language detection training model; obtaining word embedding expression information of corresponding words which can be recognized by a computer through a trained word vector model, and extracting a keyword of the obtained word embedding expression information through a TF-IDF manner; calculating an article vector and a category vector of each preset category according to the keyword and a keyword weight, and calculating a similarity between an article of natural language text information and each preset category so as to determine a text classification result ofthe natural language text information; and inputting the word embedding expression information of the natural language text information into a trained convolutional neural network and a parallel-framework text emotion analysis model of a bidirectional gate circulation unit, and obtaining a final emotion tendency value through calculation. According to the method and device, the problem that traditional multi-language analysis method needs to know domain knowledges of related linguistics and needs plenty of manpower to carry out operation is solved.

The invention relates to a driving behavior warning method based on vehicle bus data. The driving behavior warning method based on vehicle bus data is characterized by comprising an iOBD terminal and an iOBD monitoring platform, wherein the iOBD terminal provides the following data according to the driving state: sudden brake times (b), sudden acceleration times (a), sudden turning times (t), rotating speed (r), average speed (v) and driving distance (d); the iOBD terminal transmits the data information to the iOBD monitoring platform; the iOBD monitoring platform performs statistics and analysis on the driving behavior data of a user and determines the comprehensive driving behavior score of the user; and the iOBD monitoring platform transmits the comprehensive driving behavior score of the user to a mobile phone of the user to serve as the basis of judging advantages and disadvantages of long-term driving behavior, prompts according to the score and triggers warning according to the real-time data. By the driving behavior warning method based on vehicle bus data, the driving behavior score of the user is calculated according to the preset user driving behavior statistics analysis model. The driving behavior warning method based on vehicle bus data has the advantages that the advantages and the disadvantages of the driving behavior of the user can be judged; an analysis report is formed and transmitted to the user; and the driving safety of the user is greatly improved.

The invention discloses a method for performing fault diagnosis by using model conversion. According to the method, processed related information of a fault mode effect analysis model is converted into a corresponding Bayesian network model by using a self-defined data structure while ensuring complete data, an elementary event, a logic gate and an intermediate event of a fault tree in a fault tree analysis model are converted into nodes in a Bayesian network respectively, and a corresponding conditional probability table in the Bayesian network is set. The fault diagnosis is performed through the converted Bayesian network model. The method of the invention expands the use of the Bayesian network model in the fault diagnosis, improves the diagnosis accuracy of a fault diagnosis model in practical application, ensures the universality of model conversion, and can realize cross-tool conversion among different fault mode effect analysis, fault tree analysis result and the generated Bayesian network.

The invention provides a customer service information providing method and device, electronic equipment and a storage medium. The method comprises the steps of receiving a Chinese text input by a user; inputting the input Chinese text into a Chinese customer service question-answering model based on a Bi-LSTM (Bidirectional Long Short-Term Memory) model and a CNN (Convolutional Neural Network) model to acquire an answering statement; inputting the input Chinese text into a content extraction and intention classification model based on a Bi-LSTM-CRF (Conditional Random Field) model and an LSTMclassifier to acquire customer intention classification and key information; determining service recommended to a user according to the customer intention classification and the key information; inputting the input Chinese text into a Chinese text emotion analysis model based on the CNN model to acquire a user emotion classification; adjusting the answering statement according to the user emotionclassification; and in combination with the adjusted answering statement and the determined service, providing customer service information to the user. According to the method and device optimizationmodel provided by the invention, the automatic customer service answering is realized.

A system, method and program product for analyzing multiphase flow in a wellbore. A system is provided that includes: an input system for receiving pressure and temperature readings from a pair of sensors located in the wellbore; a computation system that utilizes a flow analysis model to generate a set of wellbore fluid properties, wherein the set of wellbore fluid properties includes at least one of: a fluid mixture value, a phase velocity value, a flow rate, a mixture density, a mixture viscosity, a fluid holdup, and a slip velocity; and a system for outputting the wellbore fluid properties.

A computer implemented method, apparatus, and computer program product for generating receptivity cohorts. Digital sensor data associated with a set of individuals is retrieved in response to receiving an identification of a proposed future change in a current set of circumstances associated with the set of individuals. The digital sensor data comprises events metadata describing a set of events associated with the set of individuals. The set of events comprises at least one of body language, facial expressions, vocalizations, and social interactions of the set of individuals. An analysis server selects a set of receptivity analysis models based on the proposed future event and the set of events. Each analysis model in the set of receptivity analysis models analyzes the set of events to identify conduct attributes indicating receptiveness of each individual in the set of individuals to the proposed future change. The events metadata describing the set of events is analyzed in the selected set of receptivity analysis models to form a receptivity cohort. The receptivity cohort comprises a set of conduct attributes indicating receptiveness of each individual in the set of individuals to the proposed future change.

The invention discloses a personal driving behaviour analysis management control system, comprising a data reading terminal, a GPS (global positioning system) positing device and a server, wherein the data reading terminal is used for acquiring vehicle ECU (electronic control unit) operational data, reading automobile travelling working condition data, creating a driver operation behaviour data evaluation analysis model, giving an alarm when finding a dangerous driving behaviour, emergently recording vehicle accident data, carrying out statistic on automobile travelling mileage and fuel consumption and detecting whether vehicle emission exceeds the standard or not; the GPS positioning device is used for vehicle positioning; and the server is used for recording and analyzing driving behaviour data, timely reminding a vehicle maintenance fault by combining OBD (on-board diagnostics) vehicle diagnostic function and exchanging information with a user by virtue of an interconnection platform. The invention extracts safety and economy conditions of a vehicle owner by virtue of multiple behaviour models, provides guiding suggestions and ideas for a vehicle owner and alarms and suggests in the automobile driving process and on an Internet terminal interface, thus the system improves driving behaviour and achieves energy conversation and emission reduction, is safety in control, is economic and environment-friendly.

A value-driven build-to-buy decision analysis system and method is provided that addresses and integrates the system analysis for multiple parts of the build-to-buy business cycle. The system and method of the present invention includes a demand component and a supply component. The demand component includes decision analysis components for one or more demand oriented activities in the build-to-buy cycle, such as selling and buying activities. The supply component includes decision analysis components for one or more supply oriented activities in the build-to-buy cycle, such as product creation, product packaging and product pricing activities. Each decision analysis component utilizes values-based object-oriented analytical models.

A method, performed by a mobile communication device, may include obtaining one or more images, extracting one or more features from the one or more images, and determining a dermatological classification for the obtained one or more images based on the extracted one or more images and based on a dermatological analysis model. The method may further include determining a recommendation based on the determined dermatological classification and providing information about the determined dermatological classification along with the recommendation to a user of the mobile communication device.

The present disclosure describes an apparatus and methods for performing data analysis, in particular network analysis. Specifically it provides a framework and user interface whereby raw data may be imported into a data model with entities, attributes, and relationships between the entities and multiple data analysis algorithms may be pipelined into a larger data analysis model and applied to the data model. Offline and online data visualization and data exploration techniques, may be applied to the results of the data analysis enabling real-time and near real-time interactive online analysis. Extensibility models and market transaction models are also provided.

Method for evaluating an underground reservoir production scheme taking account of uncertainties.Flow simulator input parameters characterizing the reservoir and the production scheme are selected. An approximate analytical model allowing the reservoir responses to be predicted is constructed. A desired degree of accuracy Dp is defined, this degree of accuracy Dp measuring the difference between the responses of the model and those of the simulator. The degree of accuracy Dp(M) of the predictions of the model is calculated. A design of experiments is constructed so as to select simulations to be performed, pertinent for adjustment of the model. The simulations selected by the design of experiments are carried out, then, for each response simulated by the simulator, the analytical model is adjusted by means of an approximation method. This operation is repeated until the desired degree of accuracy Dp is reached. Finally, the production scheme is evaluated by analyzing the reservoir responses predicted by the approximate analytical model.Application: notably to the development of petroleum reservoirs for example.

A ship intelligent energy efficiency management system includes a basic function module and an advanced function module. The basic function module is used for monitoring and evaluation on energy consumption and energy efficiency; through automatic collection and online monitoring of ship navigational status and energy consumption condition data, by applying data correlation analysis and a data model algorithm, analysis, evaluation and predication are performed on ship energy consumption, energy efficiency and discharge, so that data evaluation and analysis results and assisting decision suggestions are provided for ship operation managers and intelligent energy efficiency management basic functions of ship energy efficiency real time monitoring, intelligent evaluation and optimization andcomprehensive report generation are implemented. The advanced function module is used for navigational speed optimization and establishing of a ship energy efficiency analysis model and a navigationalspeed optimization analysis model, so that the navigational speed optimization function based on voyage number plan and economic benefit is implemented. Real time evaluation is performed based on data collected in real time. Ship operation condition is regulated based on energy efficiency improvement on the basis of actual data, so that ship energy efficiency management becomes more scientific and effective.

The invention discloses an end-to-end fault diagnosing and positioning platform of IPTV (Internet Protocol Television) business. The platform comprises a presentation layer, an application layer, a logic layer, a data layer, a collection layer and a system management layer, wherein the collection layer is used for collecting various data by using online or offline method and processing and integrating the collected data; the data layer is used for storing and managing various KPI (Key Performance Indicator) data; the logic layer is used for carrying out logic association and analysis processing on the original data; the application layer is used for constructing fault diagnosis and analysis through establishing a data association analysis model; the presentation layer is used for providing a service supporting interface; and the system management layer is used for managing system privilege, security and logs. The invention provides an end-to-end fault diagnosing and positioning platform of the IPTV business; and because the abnormity is actively found and the problem is handled through periodically inspecting quality situations of a terminal, a bearing network and a platform, the end-to-end fault diagnosing and positioning platform of the IPTV business disclosed by the invention has the advantages of rapidness in diagnosis, accuracy in positioning, active operation and the like; end-to-end business monitoring and prewarning are realized; the IPTV business operation capacity is increased; the processing efficiency is increased; and the processing period is reduced.

The invention relates to a machine vision technology based method for rapidly detecting egg internal quality, belonging to non-destructive testing technologies for agricultural and animal products. According to the method, a machine vision technology is used for acquiring characteristics on three aspects including a color space, an eggshell shape and an egg density from an egg transmission image so as to comprehensively judge the freshness characteristic of the egg. The machine vision technology based method specifically comprises the steps: acquiring the transmission image of an egg under a certain illumination condition, transmitting the transmission image to a computer through image acquisition equipment, acquiring the information on the three aspects including the color space, an egg yolk area and the egg density from the acquired egg image, fusing and screening the information on the three aspects, and finally obtaining a detection result of the egg freshness by means of a multi-variable analysis model in a standard library, wherein the information on the three aspects including the color space, the egg yolk area and the egg density is in one-to-one correspondence to three phenomena of diluted concentrated egg white, enlarged egg yolk area and raised gas cell height which are expressed under an egg freshness drop condition. In addition, grading can be carried out according to standards so that the egg freshness can be detected more objectively and accurately.

The invention provides a public information intelligent analysis platform based on big data analysis and mining. The public information intelligent analysis platform comprises a big data preprocessing module, an intelligent analysis module and an information presentation module. The big data preprocessing module is used for storing and preprocessing enterprise information via a clouded mode. The intelligent analysis module is used for performing event cause and effect analysis, assessment of the overall situation of the company and future trend prediction and returning analysis results to an upper layer by comprehensively utilizing the preprocessed data according to data analysis tasks transmitted by the upper layer. The information presentation module is used for generating the data analysis tasks to the intelligent business analysis module and receiving the returned results, presenting the analysis results of the intelligent analysis module and providing an operation interface to a user. Intelligent analysis is performed on mass data in enterprise operation by adopting a clustered computing method via flexibly establishing and configuring analysis models so that problems of poor real-time performance, high effectiveness and interactivity of a conventional data processing method are solved, the user is assisted to perceive the enterprise situation in real time and thus enterprise management efficiency and business processing level are enhanced.

The invention relates to an analysis method for electricity stealing behavioral mode of user electricity utilization of a user. The analysis method comprises the steps of: (1) acquiring electricity utilization data of the user and acquiring anomalous event data of an ammeter; (2) extracting historical electricity utilization data and historical anomalous event data of the ammeter for processing; (3) cleaning the historical electricity utilization data and the historical anomalous event data of the ammeter; (4) establishing an electricity stealing behavioral analysis model; (5) correcting electricity stealing model parameters; (6) evaluating an electricity stealing risk. The analysis method is carried out under a framework of a big data platform, and mass data are calculated in parallel, so that the problem of low calculation efficiency is solved, the requirements on daily analysis, daily processing and daily monitoring of an electricity utilization department are satisfied, a clerk per se can select an electricity stealing user in high risk for processing, and therefore the work efficiency is improved.

The invention discloses an analysis method and a system for vehicle insurance claim-settlement photos. According to the preset types of vehicle damaged parts, the claim-settlement photos of a preset number for each preset type of vehicle damaged parts are acquired from a vehicle insurance claim-settlement database. Based on claim-settlement photos corresponding to each preset type of vehicle damaged parts, a preset analysis model for analyzing claim-settlement photos and containing the preset types of vehicle damaged parts is generated according to a preset model generation rule. After that, a claim-settlement photo uploading request sent by a mobile terminal is received, and claim-settlement photos corresponding to the claim-settlement photo uploading request are acquired. The acquired claim-settlement photos are analyzed based on the generated preset analysis model. Finally, a prompt message corresponding to the analysis result of the above step is generated based on the analysis result. According to the technical scheme of the invention, the effect of automatically uploading insurance claim-settlement photos is realized. Meanwhile, the acquisition efficiency and the acquisition accuracy of photos for vehicle damaged parts are improved.