254 results about "Property analysis" patented technology

Simulation continues to be the primary technique for functional validation of designs. It is important that simulation vectors be effective in targeting the types of bugs designers expect to find rather than some generic coverage metrics. The focus of this work is to generate property-specific testbenches that are targeted either at proving the correctness of a property or at finding a bug. It is based on performing property-specific analysis on iteratively less abstract models of the design in order to obtain interesting paths in the form of a Witness Graph, which is then targeted during simulation of the entire design. This testbench generation framework will form an integral part of a comprehensive verification system currently being developed.

The present invention relates to systems and methods for biomedical drug research, addressing major molecular, cell biological and biochemical information management issues within drug discovery and basic biomedical science. The invention allows scientists to enter biological, chemical, and/or molecular data into a central database, analyze the data entries according to entry attributes, and graphically view the results. A group of web-enabled researchers can enter, share and analyze molecular and cellular data and information from the resources using standardized vocabularies and ontologies. This application describes in detail components of the databasing system, including but not limited to annotation modules, reference managers, advanced search algorithms, ontology browsers, molecular network builders, and text processing scripts. Ultimately, the information gathered, viewed, and analyzed by this relational databasing system is relevant to research ranging from basic researchers to advanced research in applied technologies within pharmaceutical development and biotech fields.

The invention provides an analysis method of the corrosion action and the corrosion effect of a carbonate rock. The method comprises the following steps: detecting petrologic parameters, geological fluid characteristics and geological background parameters of a reservoir stratum of the carbonate rock; selecting a plunger sample, and preparing the plunger sample into a diagenetic fluid; performing weighing, physical property analysis, CT scan analysis and microscopic property analysis on the sample before experiment; performing a corrosion simulated experiment on the carbonate rock, and collecting the reaction generated liquid; performing the physical property analysis, the CT scan analysis and the microscopic property analysis on the sample after experiment; analyzing the content of Ca<2+> and Mg<2+> of the generated liquid; analyzing the corrosion action of the carbonate rock under different controlling factors, determining a three-dimensional structure and a microcosmic pattern of representation of a corrosion hole of the carbonate rock, and quantitatively assessing the corrosion hole of the carbonate rock and the communicated property evolution. By the method, the corrosion action and the corrosion benefits of the carbonate rock from an earth surface to the deep burying environment can be analyzed, and more accurate analytical data is provided for assessing and forecasting the favorable reservoir stratum of the carbonate rock.

The present invention provides a device and method for analyzing the characteristics of a biopolymer with excellent mechanical stability, high spatial resolution and sensitivity using a simple device construction. Specifically, the Raman scattered light of a biopolymer is measured and the properties of monomer units forming the biopolymer are analyzed by using a biopolymer property analysis chip (100a) characterized by comprising: a solid substrate (110); at least one nanopore (120) disposed in the solid substrate (110); and one or more electrically conductive thin films (130a, 130b) disposed on the solid substrate (110). The biopolymer property analysis chip (100a) is characterized in that the electrically conductive thin films (130a, 130b) are disposed partially on the solid substrate (110) where the nanopore (120) is formed and a biopolymer which has penetrated into the nanopore (120) is caused to generate Raman scattered light by means of irradiation with external light.

The invention provides a real-time simulated test research method for security and stability control of a power grid. The real-time simulated test research method comprises a large power grid real-time simulation model and parameter establishing method, a multi-time scale multi-area stability control technology comprehensive coordination method, and a wide area stability system real-time simulation scene establishing technology. The method provided by the invention is characterized in that a real-time simulation system is connected with an actual alternative-current/direct-current control protection device and a security and stability control device is used for development and test on the security control. With the adoption of the real-time simulated test research method provided by the invention, an important supporting platform is provided for the development and the test on the security control of the large-size power grid; and the principle research of the stability technology, the scheme design of the stability system, the comprehensive test of a stability device, the comprehensive verification of a control target, and the dynamical property analysis of the power grid can be perfectly combined.

Media data about a property is collected via one or more unmanned vehicles having sensors, and optionally other devices as well. The unmanned vehicles are guided along paths about the property, optionally about the exterior and interior of a structure on the property, A layout of the property—optionally including a layout of the interior and/or exterior of the structure—is generated and shared. The media data and the generated layout may be certified using digital signatures, enabling verification of their source device, collection time, and authenticity.

The invention relates to a multilevel and multidimensional method and a device for analyzing data attributes, wherein the method comprises the following steps: building a public code platform for maintaining the public basic data, wherein the public basic data comprises basic data and/or a public code table; building a data relationship model for the basic data analysis as the basic data analysis platform; performing the multilevel and multidimensional analysis on the data attributes according to the data relationship of the basic data analysis platform. The multilevel and multidimensional method and the device for analyzing data attributes achieve a tree-shaped hierarchy show for the multidimensional analysis on the data attributes through the analysis dimensionalities of the basic data analysis types and the tree-shaped hierarchy expansion, and fast achieve the building and flexible expansion for the public basic data through the public code platform. The method and the device fast achieve the building of the data attribute analysis types and analysis dimensions based on the basic data analysis platform, and achieve the multilevel and multidimensional analysis on the data attributes and dynamic expansion of the analysis dimensions in a tree-shaped hierarchy expansion way. The dimensional data analysis rules are arranged to flexibly achieve the statistics summary of the analysis data.

The invention discloses a passenger flow video detection and analysis system. The passenger flow video detection and analysis system includes hardware equipment, software engines and a template database; the hardware equipment includes a computer, video input equipment and network equipment; the software engines include a passenger flow analysis engine, a customer commodity attention degree analysis engine and a customer attribute analysis engine; the template database includes a human shape base template, a human movement posture template, a face base template, a gender and age group face base template, the video input equipment includes a camera and a hard disk video recorder; the camera performs video real-time input and real-time analysis; the hard disk video recorder performs video playback input; the passenger flow analysis engine performs video detection and analysis on data of passenger flows entering and exiting from a statistics area; the customer commodity attention degree analysis engine performs video detection and analysis on dwell time and movement trajectories of customers in the statistics area, so as to calculate the attention degree of the customers to commodities; and the customer attribute analysis engine performs video detection and analysis on the race, gender and edge group data of the customers.

The invention discloses an intravascular plaque attribute analysis method based on depth migration learning, belonging to the medical science image processing field. The invention particularly relatesto an intravascular plaque attribute analysis method based on depth migration learning. The intravascular plaque attribute analysis method comprises steps of obtaining multi-mode intravascular imagedata in a clinical mode, artificially marking an attribute of an intravascular plaque, performing pre-processing on a marked intravascular image, using intravascular image data which is pre-processedas an input of a depth convolution neural network, adopting a learning method with supervision to perform depth convolution neural network training, adopting a back-propagation-algorithm-based stochastic gradient descent mode to perform network parameter learning, adopting trained multiple cross-modal prediction models to perform voting fusion prediction on the intravascular image obtained from the step 1 and generating a plaque kind probability graph. The intravascular plaque attribute analysis method based on depth migration learning solves a problem that the prior art is labor-consuming andlow in speed and has artificial difference. The intravascular plaque attribute analysis method based on depth migration learning can be used for intravascular image processing.

The invention discloses a water surface target rapid-detection method based on an unmanned vessel application, and belongs to the technical field of cross of digital image processing and a control system. A target candidate region is obtained through target property analyses; a certain false alarm exists in the candidate region, so a significance region is obtained by utilizing significance analyses; and the target property and significance are combined, the false alarm is rejected, and then an accurate position of a target is obtained. The water surface target rapid-detection method does not have specific target type information, so the water surface target rapid-detection method has good universality; compared with other existing target detection algorithms, the water surface target rapid-detection method has great improvements on the aspect of a target detection effect and also on the aspect of a speed of the method; and the water surface target rapid-detection method has an important guiding significance for automatic obstacle avoidance of an unmanned vessel.

An unmanned aerial vehicle (UAV) may couple to a sensor payload device that includes cameras, radar, lidar, and/or other sensors. The UAV, coupled to the sensor payload device, may fly within the airspace of and/or around a property and capture images and/or sensor measurements of the property. The images and sensor measurements may be certified so that they may be verified as unaltered by viewers. A 3D representation of the property may be generated, and defects in the property may be detected by comparing the 3D representation to media depicting property defects. A report identifying the defects may be generated.

A method and system are disclosed for creating a combination attribute volume or combo volume by combining one or more attribute volumes into a single volume. For instance, seismic data volumes may be used for creating a combination seismic attribute volume from multiple seismic attribute volumes. This is accomplished by replacing certain of the standard 8-bit data values in a seismic data volume with marker values that denote certain values of other, spatially coincident, seismic attribute data. The resulting combo volume may then be displayed and a seed pick positioned on an event of interest such as a geological body. An auto-picker function or program will then find all the connecting points which will quickly further define the event. The event may then be displayed and interpreted.

The invention provides a well drilling comprehensive speed accelerating optimization expert system. The expert system comprises an adjacent well data acquisition unit, a drilling following data acquisition unit, a geological property analysis module, a drill bit efficient rock breaking datum line generation unit, a drilling efficiency evaluation module and a well drilling real-time optimization module, wherein the adjacent well data acquisition unit is used for acquiring adjacent well finishing drilling data and adjacent well geological data; the drilling following data acquisition unit is used for acquiring current well drilling following real time data association; the geological property analysis module is connected with the adjacent well data acquisition unit and the drilling following data acquisition unit, and is used for confirming a rock compression strength section and a rock property section of the current drilling well; the drill bit efficient rock breaking datum line generation unit is connected with the geological property analysis module, and is used for obtaining an efficient rock breaking datum line; the drilling efficiency evaluation module is connected with the drilling following data acquisition unit, and is used for calculating rock breaking efficiency evaluation indexes; the well drilling real-time optimization module is connected with the drilling following data acquisition unit, the drilling efficiency evaluation module and the drill bit efficient rock breaking datum line generation unit, and is used for optimizing drilling efficiency. The expert system can break through the limitation that penetration rate is taken as performance evaluation, realizes quantifying evaluation of rock breaking efficiency, and achieves the goal of improving drilling speed.

The invention provides a modeling method for a group brain network. The modeling method comprises the following steps that (1), nodes of the group brain network are defined according to group brain imaging data; (2), connecting matrixes between the different nodes are calculated according to the nodes defined in the step (1) and adopted as edges; (3), a group brain network model is constructed according to the nodes defined in the step (1) and the edges defined in the step (2). Meanwhile, the invention provides a topological attribute analytical method for the group brain network. The topological attribute analytical method is achieved based on the modeling method for the group brain network. According to the modeling method and topological attribute analytical method for the group brain network, the interactive mode features of a studied group can be judged, and whether key members exist in the group or not is further analyzed. Therefore, group behaviors can be predicated by utilizing a group neural activity mode result.

The invention relates to a porous rubber material member. The member comprises a thin covering layer and a hole sound absorption layer which are integrated and made of a rubber material, wherein holes of the hole sound absorption layer are blind holes. The hole condition of the porous rubber material member is different from that of the common porous sound insulation material; in order to exert a sound absorption function, air holes of the common porous material are open and intercommunicated, and sound absorption property is higher when the number of the air holes is larger; the blind holes are directly and vertically punched on a rubber plate, so the porous rubber material member is suitable for vibration reduction and sound insulation in an air medium, and meets the requirement of certain pressure resistance when underwater equipment works in a deep water area; movement resistance can be reduced because the porous rubber material member has smooth appearance; in addition, the hole sound absorption layer and the thin covering layer are combined to form a composite structure, so the porous rubber material member has high sound absorption and sound insulation properties.

This invention provides one product cloud shape property analysis method based on data dynamic memory module, which comprises the following steps: reading the output data from digital device into memory and establishing linear memory structure for data; then adopting 3D R*-tree for rapid space polymer sorting on data and to establish data dynamic memory; then in the browsing process, using current data point as aim point to get the local reference data set by use of Bezier curve accuracy near to point set to estimate curve rate ; finally mapping the data curve rate as RGB color mode.

The invention discloses a load forecasting management system based on an electric power system. The system includes a management module for managing basic information data, a load analysis module usedfor load correlation property analysis, a load forecasting module used for supporting multi-forecasting-mode comparative analysis and intelligent selection, a load forecasting assessment module usedfor counting and analyzing load forecasting accuracy rate, and a data exchange management module used for timing and time-limited reporting of dispatching forecasting data step by step. The system establishes a complete short-term load forecasting theoretical system and a well-designed short-term load forecasting strategy, establishes a complete short-term load forecasting method base, and provides an efficient load forecasting method.

The invention discloses an electrical property prediction method of an active reflector antenna, which mainly solves the problem that the electrical properties are difficult to be told in advance when adjusting a panel of the active reflector antenna. The method has processes of: obtaining an initial pose of the active panel based on basic structure parameters of the antenna and the partitioning condition of the active panel; calculating the phase difference of sampling nodes selected on a single panel to synthesize the phase difference of the single panel and finally synthesize the phase difference of the whole antenna reflector; calculating the electric field distribution in the antenna far zone by utilizing gauss integral formulas for quadrilateral elements and getting a directional pattern and related electrical parameters of the antenna; judging whether the electrical parameters can meet the design requirements of the antenna, if can, outputting the electrical parameters and pose information of the single panel, if not, adjusting the active panel and repeating the previous analysis process until the electrical properties meet the demand. The simulation result shows that the method can be applied to the electrical property predictions of antennae with different frequency ranges and be used to guide the panel adjustment of the active reflector antenna and the electrical property analysis.

The invention discloses a system and a method for driver fatigue analysis and early-warning. The system comprises an image pick-up unit, a fatigue analysis unit and an alarm device. The image pick-up unit is used for acquiring real-time video information of a driver; the fatigue analysis unit is used for receiving video information acquired by the image pick-up unit so as to judge whether the driver is fatigue; the fatigue analysis unit includes one or more of a human face capturing detector, a human face pose recognition device, a living body recognition device and a human face attribute analysis device; and the alarm device is used for receiving an alarm signal sent by the fatigue analysis unit and sending out alarm information. The system can be used for analyzing fatigue of the driver, has adequately high recognition accuracy, can be well compatible with an existing monitoring network to alarm timely and is stable in work, easy to upgrade and maintain and low in cost. With the system and the method, fatigue driving of the driver can be found out, alarming can be carried out timely, and traffic accidents caused by fatigue driving can be effectively avoided.

The invention provides a determination method of the bearing capacity of an overlong bored pile. The method comprises the following steps that the total stiffness of pile soil is determined, and a standard value of the frictional resistance of the pile side of each layer of pile soil and a standard value of the counterforce of the pile bottom are determined in accordance with engineering needs; a mathematically traditional fitting method is utilized to determine a hyperbolic function passing parameter of the pile side of each layer of the pile soil and determine a hyperbolic function passing parameter of the pile bottom of each layer of the pile soil; a length measuring device is utilized to determine the pile diameter D; the subsection length of a pile body is determined in accordance with the requirement of calculation accuracy, and each subsection corresponds to one layer of the pile soil; the frictional resistance of the pile side on the subsection length of each pile body is calculated one by one, and a control value of the frictional resistance of the pile side is determined; and whether a control value of the counterforce of the pile bottom and the vertical bearing capacity of a pile foundation meet the conditions or not is determined, thereby determining the bearing capacity of the overlong bored pile. By using the determination method of the bearing capacity of the overlong bored pile, the defects in aspects of bearing property analysis and parameter selection calculation of the overlong bored pile in the prior art can be overcome.

Devices and methods for assessing tissue contact based on dielectric properties and/or impedance sensing are disclosed. In some embodiments, one or more probing frequencies are delivered via electrodes including an electrode in proximity to a tissue (for example, myocardial tissue). In some embodiments, dielectric parameter values, optionally together with other known and/or estimated tissue characteristics, are measured to determine a contact quality with the tissue. In some embodiments, dielectric contact quality is used, for example, in guiding the formation of a lesion (for example, RF ablation of heart tissue to alter electrical transmission characteristics).

The invention discloses a low-temperature oxidation experimental device of crude oil extracted by injecting air into a light oil reservoir. The experimental device consists of an injection system, a module system, a data acquisition and control system, a first output system, a second output system, a first analysis system and second analysis system, wherein one side of the module system is communicated and connected to the injection system; the upper end of the module system is connected to the first output system for collecting free gas and the second output system for collecting live oil, wherein the first output system and the second output system are arranged in parallel; the output end of the first output system is communicated to the first analysis system; a sampling end for dissolved gas separated out by using the second output system is communicated to the first analysis system; a sampling end of a liquid separated out by using the second output system is communicated to the second analysis system; and the module system is further connected to the data acquisition and control system. In the device, a free gas sample and live oil under experimental pressure are sampled by using the two output systems respectively, and the dissolved gas in the live oil is separated out for gas constituent and crude oil property analysis, so that the accuracy of an analysis result is ensured.