88results about How to "Efficient and accurate analysis" patented technology

Operational parametric sensing and event recording capabilities are provided for portable electronic devices such as media players, cell phones, laptop computers, and the like that takes the can take the form of a standalone sensing unit or as an integrated component of the portable electronic device.

System, method and program product for text processing using object coreference technology. In particular, the invention provides a text processing method which includes, acquiring text to be processed; extracting subject words and entity words corresponding to the subject words from the text; grouping the subject words; determining entity words that reference a same concerned object according to the grouped subject words; and generating processing policy for entity words that reference a same concerned object. The invention also includes a system with means for carrying out the method. The invention generally realizes automatic, more comprehensive, accurate, efficient analysis and processing on text data. The invention can be used to dig a large amount of comment data about some entity, and the invention can also be used to suggest insertion place in an article where embedded advertisement is inserted.

A method and apparatus are provided for analyzing software programs. The invention combines data flow analysis and symbolic execution with a new constraint solver to create a more efficient and accurate static software analysis tool. The disclosed constraint solver combines rewrite rules with arithmetic constraint solving to provide a constraint solver that is efficient, flexible and capable of satisfactorily expressing semantics and handling arithmetic constraints. The disclosed constraint solver comprises a number of data structures to remember existing range, equivalence and inequality constraints and incrementally add new constraints. The constraint solver returns an inconsistent indication only if the range constraints, equivalence constraints, and inequality constraints are mutually inconsistent.

A computer implemented method and program for analyzing statistical an original data set having a first size, dimension and distribution. Multiple random data sets are generated, each having a second size, dimension and distribution related to the first size, dimension and distribution of the original data set. Numerical values of test statistics corresponding to the random data sets are calculated in accordance with a predetermined test statistic formula. A relationship between the numerical values corresponding to the random data sets and the numerical value of the test statistic corresponding to the random data set, calculated in accordance with the test statistic formula, is determined. It is determined that the original data set includes at least one factor not based on chance when the relationship indicates that the numerical value of the original test statistic is not within a range of the numerical values corresponding to the random data sets.

The invention provides an electric power line loss analysis method, device and system. The method comprises steps of acquiring an electric power data set in a target region through an acquisition terminal, wherein the acquisition terminal comprises an electricity utilization information acquisition terminal in a low-voltage bench region, and a feed line current acquisition terminal arranged on a power distribution network, and the electric power data set comprises electric power data, and place tags and time tags corresponding to the electric power data; acquiring an electric power network model of the target region, wherein the electric power network model comprises a topology relation and element device parameters of an electric power network in the target region; according to the topology relation and the element device parameters of the electric power network in the target region, determining theoretical line loss of the target region; according to the electric power data set and the electric power network model, calculating actual line loss of the target region; and according to the theoretical line loss and the actual line loss, generating an electric power line loss analysis report. According to the invention, large workload in manual investigation and analysis of electric power line loss is reduced and effects of reducing line loss are improved.

A method is provided for providing an automated assistance to design an analog non linear circuit under transient conditions, and to a corresponding system. The method enables the circuit designer to consider with simulation the time reactive effects of generally nonlinear components, while keeping the significant and intuitive qualities of an analysis view design tool like the CAIRO+/CHAMS environment. The method includes at least a transient instant solving procedure producing a numerical simulation that uses a given set of sizes and biases to provide a set of local behavior parameters in at least one node at current time. This transient instant solving procedure includes an incremental iteration under transient conditions of an evaluation in an analysis view of a dependency graph of the functional structure of the circuit. An optional transient analysis performs a numerical simulation to provide a time dependent behavior simulation of the circuit, and a performance evaluation.

The invention relates to an flexible DC engineering electromechanical-electromagnetic hybrid simulation method comprising the following steps of: acquiring operation parameter data and technical parameter data of a flexible DC project for simulation; The hybrid simulation network of flexible HVDC engineering is divided into regions, the AC power network is divided into electromechanical transientcalculation regions, the DC power network is divided into electromagnetic transient calculation regions, and the position of simulation interface is set. Editing Power Flow Data File and Transient Data File of AC Power Grid Based on Electromechanical Transient Analysis Program; Based on electromagnetic transient simulation program PSD-PSModel, establishing the electromagnetic transient model; combining electromechanical transient model with electromagnetic transient model, a hybrid simulation example of flexible HVDC project is constructed. According to the tidal current result file obtained from the tidal current data file, the key parameters are read to the primary system file of the electromagnetic transient model for initialization setting, and the simulation conditions are set according to the simulation requirements for hybrid simulation calculation.

The invention belongs to the technical field of intelligent teaching, particularly relates to a teaching knowledge point graph system based on network swarm intelligence, and aims to solve the problems of single knowledge point source, poor diversity, repeated knowledge creation and uneven knowledge point quality of an existing teaching knowledge point system. The method comprises the following steps: automatically extracting teaching plan keywords, inputting the teaching plan keywords into a teaching knowledge point map exploration module, and interactively exploring retrieved information bya user: if satisfactory knowledge is found, directly updating a teaching plan; and if not, supplementing knowledge in a man-machine cooperation mode. The man-machine cooperation means that the user and the AI knowledge producer construct new knowledge at the same time and fuse the new knowledge, and the new knowledge is cooperatively created by combining the capabilities of the user and the AI. And the intelligent expert recommendation system recommends experts to participate in verification of the newly constructed knowledge by analyzing the knowledge and the evaluation data of the user, andintegrates the new knowledge with the teaching knowledge point graph. The invention has the advantages of multiple knowledge point sources, high quality and less knowledge repeated creation.

Methods and systems for selecting and/or displaying related images. Images may be selected by designating a first region of interest in an image, wherein the first region of interest comprises one or more addresses including an address of interest; locating one or more images in a selected series of images containing at least one address from the first region of interest; and selecting a first group of images from the selected series of images containing at least one address from the first region of interest. The selected images may be, displayed, stored, transmitted, and/or printed.

The invention relates to a voice emotion recognition method and device, a medium and electronic equipment, and belongs to the technical field of emotion recognition. The method comprises the steps: extracting various types of audio features of user voice when the user voice is received; matching the audio features with feature samples in an emotional feature library to obtain emotional labels corresponding to the feature samples matched with the audio features; constructing a feature tag matrix of the user voice based on the audio features and the emotion tags corresponding to the matched feature samples; inputting the feature tag matrix into a multi-emotion recognition model to obtain a plurality of emotion sets and scene tags corresponding to the emotion sets; and acquiring a scene tag matched with the voice scene of the user voice so as to determine an emotion set corresponding to the matched scene tag as the recognized user voice emotion. According to the invention, various potential emotions can be efficiently and accurately recognized from the voice.

The invention discloses an intelligent networked vehicle test monitoring and management platform based on a broadband mobile Internet. The platform comprises a data access layer, a data storage and application management layer, a big data analysis platform and an application service and presentation layer, and has beneficial effects that the interface service of the data access layer includes a database management module, a log management module, and an abnormality management module, and is connected with a platform relational library, so that the received data is timely and valid, and the whole system is not affected by the damage to a certain single module; the data storage and application management layer, in an intelligent networked vehicle test process, mainly produces data in the following aspects: each group of information uploaded by a test vehicle includes high-precision location information, time, vehicle state and the like, and the data is stored and applied in a timely manner; the big data analysis platform is an all-channel integrated data access, storage, management and intelligent analysis platform to make data analysis accurate and efficient.

Provided herein are embodiments of a system for representing, persisting, authoring and publishing immersive reality simulations. The system may include an authoring software, wherein the authoring software may include an AR or VR virtual objects and scenario authoring tool, a published AR or VR experience, a data pipeline module. and a dashboard module. The system may be used for creating educational and training content for AR and VR environments.

The invention discloses an underground coal field fire zone typical product dynamic precipitation release simulation experiment system. An underground coal field fire zone product dynamic simulation experiment device is divided into a fissure-containing coal seam geological module, a ventilation module, a fire zone temperature test module and a product detection module according to the experimentprinciple. Each module is arranged in an external protective layer; the ventilation module, by adding an air inlet roadway of a heating belt, inputs hot gas flow and suitable oxygen into the fissure-containing coal seam geological module with air leakage crack design in advance; and the fissure-containing coal seam geological module is connected with the product detection module through an air return way. The simulation experiment system for analyzing the characteristics of the evolutionary products in the coal field fire area is constructed, and the system helps to deepen the understanding ofthe laws of coal fire development, provides theoretical support for the targeted formulation of fire prevention measures, and is of great significance for coal fire control and disaster prevention and control and the like.

With the measurement unit (7) empty and with the maximum (or approximately 100%) transmissivity of the first dimmer apparatus (3) and the second dimmer apparatus (4), the output voltages of the preamplifier (11) (i.e. the value Pa corresponding to the first light source 1 and the value Pb corresponding to the second light source 2) are stored in the memory unit (16). The appropriate transmissivity computation unit (17) compares the Pa value with the Pb values, sets the smaller value as Ps, and computes the appropriate transmissivity (Ps/Pa)×100 of the dimmer apparatus (3) and the appropriate transmissivity (Ps/Pb)×100 of the dimmer apparatus (4). The controller (15) sets the transmissivities of the dimmer apparatus (3) and the dimmer apparatus (4) to have the previously obtained respective appropriate transmissivities. As a result, both the output voltages (or the values corresponding to the first light source (1) and second light source (2)) of the preamplifier (11) become Ps. The value of Ps is optimized by changing the sensitivity of the photoelectric detector (10). Accordingly, it is possible to equalize the amounts of light of plural lamps (or light sources) simultaneously used, without deteriorating the S/N, unsteadying the lamp's amount of light, and shortening the lamp's lifetime.

The invention discloses a multi-lead electrocardiogram (ECG) signal composite feature extraction method and a corresponding monitoring system, and relates to the field of ECG signal analysis and detection. The method comprises the following steps: 1, extracting statistical features or morphological statistical features and wavelet energy entropy features of the morphology of single-lead ECG signals; 2, repeating the step 1 to acquire and fuse statistical features or the morphological statistical features and the wavelet energy entropy features of the lead morphology; the system comprises a feature extraction module; the feature extraction module comprises a dynamic link library, a feature extraction unit and a feature fusion unit, and is used for extracting the statistical features or themorphological statistical features and the wavelet energy entropy features of the morphology. The method is used for extracting the statistical features or the morphological statistical features and the wavelet energy entropy features of the morphology of the ECG signals, fully characterizes the local features of the signals, enhances the feature expression ability, and achieves the effects of accurately capturing the small short dynamic changes of the ECG signals and the morphological changes of the complex ECG waveforms as well as accurately identifying the normal state and abnormal state ofthe ECG signals.

The invention provides an industrial control situation awareness method and system based on machine learning. The awareness method comprises the steps: collecting the alarm data sets of different network security devices; normalizing the collected alarm data set, and constructing an original alarm database by adopting a regular expression and attribute information extracted from an alarm log in acharacter string matching manner; adopting a classical association rule mining algorithm Apriori to realize alarm aggregation, dividing the global attack sequence into a plurality of candidate sequence sets according to the size of a window, and finally mining a maximum attack mode through an improved Prefix Span algorithm. Compared with a Prefix Span algorithm, the method has the advantages thatthe accuracy and effectiveness are greatly improved, and the overhead is reduced.

The invention relates to a resource calling analysis method and a resource calling analysis device. The method comprises the following steps: obtaining a calling operation for resources; under the condition that the calling operation is obtained, judging whether the calling operation meets analysis conditions; under the condition that the calling operation meets the analysis conditions, analyzing and recording calling information corresponding to the calling operation; and under the condition that information output conditions are met, outputting the recorded calling information. According to the resource calling analysis method and the resource calling analysis device disclosed by the embodiment of the invention, the calling information corresponding to the calling operation meeting the analysis conditions are analyzed and recorded, and the recorded calling information is output, so that the calling condition of system resources is efficiently and accurately analyzed.