924 results about "Computational analysis" patented technology

A networking database containing a plurality of records for different identities in which identities are connected to one another by defined or interpreted Inter-Personal and Intra-Personal relationships. Individuals using the system may define, group and categorize specific identities and relationships; the system may also define, categorize and group both identities and relationships belonging to individuals registered with the system and unregistered users through computational analysis. Identities and relationships may be discovered by the system via an opt-in user-provided mechanism, via a third-party providing information, or through the system's own discovery. Identity and Relationship data can then be used to customize content.

When individual persons or vehicles move through a transportation network, they are likely to be both actively and passively creating information that reflects their location and current behavior. In this patent, we propose a system that makes complete use of this information. First, through a broad web of sensors, our system collects and stores the full range of information generated by travelers. Next, through the use of previously-stored data and active computational analysis, our system deduces the identity of individual travelers. Finally, using advanced data-mining technology, our system selects useful information and transmits it back to the individual, as well as to third-party users; in short, it forms the backbone for a variety of useful location-related end-user applications.

Enabling dynamic, computer-driven, context-based detection of social network patterns within an input graph representing a social network. A Social Network Aware Pattern Detection (SNAP) system and method utilizes a highly-scalable, computationally efficient integration of social network analysis (SNA) and graph pattern matching. Social network interaction data is provided as an input graph having nodes and edges. The graph illustrates the connections and / or interactions between people, objects, events, and activities, and matches the interactions to a context. A sample graph pattern of interest is identified and / or defined by the user of the application. With this sample graph pattern and the input graph, a computational analysis is completed to (1) determine when a match of the sample graph pattern is found, and more importantly, (2) assign a weight (or score) to the particular match, according to a pre-defined criteria or context.

A networking database containing a plurality of records for different identities in which identities are connected to one another by defined or interpreted Inter-Personal and Intra-Personal relationships. Individuals using the system may define, group and categorize specific identities and relationships; the system may also define, categorize and group both identities and relationships belonging to individuals registered with the system and unregistered users through computational analysis. Identities and relationships may be discovered by the system via an opt-in user-provided mechanism, via a third-party providing information, or through the system's own discovery. Identity and Relationship data can then be used to customize content.

A method and apparatus for the detection of faces in a digital image captured under a variety of lighting conditions are provided. Rather than subjecting an entire image to computationally intensive face detection analysis, the image is subjected to computationally simply analysis to identify candidate pixels likely to be of skin colour. Only those pixels having such color are subject to computationally intensive face detection analysis. The pixels are selected by first selecting a color distribution model based on an image capture condition provided with the color digial image. Then, the color of the pixels is tested using the distribution model to determine those pixels having predominantly skin color. Preferably, the distribution model is selected from among a number of different distribution models with each of the distribution models associated with a different set of lighting conditions. In this way, a face detection process may accommodate a variety of lighting conditions associated with the capture of an image using a computationally simple analysis.

Single copy sequences suitable for use as DNA probes can be defined by computational analysis of genomic sequences. The present invention provides an ab initio method for identification of single copy sequences for use as probes which obviates the need to compare genomic sequences with existing catalogs of repetitive sequences. By dividing a target reference sequence into a series of shorter contiguous sequence windows and comparing these sequences with the reference genome sequence, one can identify single copy sequences in a genome. Probes can then be designed and produced from these single copy intervals.

The present invention comprises a multi-tier system. Major goals of the system are to 1) clearly visualize BGP dynamics and alert / report important deviation of BGP dynamics to avoid overwhelming the operators with too much information and 2) analyze the root cause of the problems by using a multi-tier approach, with a light-computational analysis and high-level classification for a real-time problem identification followed by a more rigorous off-line analysis for a further and more detailed trouble shooting. An example embodiment is provided that comprises four modules. The first module comprises a distributed family of collectors in charge of collecting real-time network information. The second module filters out non-relevant prefixes and extracts and profiles key features of the network information. The third module monitors BGP activity from both an Internet-AS and single-AS perspectives by displaying the data in real time and highlighting major shifts or divergence from historical baselines with comprehensive layouts. The forth module is run off-line to focus on a few relevant events that are selected through the first three modules. This is usually a time-consuming phase of the process due to the different temporal and / or spatial correlation that must be run across several sets of data. During this phase, the system can spend more time to better identify the real cause of the problem.

The present invention provides methods for the sequencing of all RNA species within an RNA sample, such as the RNA content obtained from a cell, a tissue, a living organism, or from an artificial source. RNA molecules within the samples are labeled in a RNA-specific manner prior to immobilization on a solid support. One label is used to mark the location of the RNA molecule on the solid support, whereas the second label is used to mark selectively the S′ end of full-length mRNA molecules. RNA molecules are sequenced while being bound to the solid support in one or more sequencing reactions, and sequences of individual RNA molecules can be forwarded to computational analysis for assembling sequence information from individual sequencing reads obtained from the same location on the solid support. Not only unsupervised expression profiling on a genome-wide scale, but also the direct analysis of RNA-RNA interactions become possible as revealed by the analysis of the sequencing information obtained along with genomic information.

A tissue stimulation system that generates an electrical tissue stimulation signal configured to reduce tissue impedance and increase depth of signal penetration. The use of leads is dynamically controlled and altered between conducting biopotential voltages, conducting electrical tissue stimulation signals, and grounding, in response to a computational analysis of biopotential data acquired from a region of tissue to be stimulated.

The system for real time train disaster vulnerability assessment and rescue guidance using multi layered video computational analytics comprises digital video cameras mounted on train, video cameras mounted at fixed locations on rail route; unmanned aerial monitoring vehicle; train on-broad computer system mounted on train and centralized system centrally located in railway network. The digital video cameras capture video images of railways track and adjacent structure from running train and automatically compute degree of disaster vulnerability from collective analysis of output from all video cameras. In case degree of disaster vulnerability exceeds predetermined threshold value a disaster alert is triggered to take immediate precautionary measures while simultaneously activating On Board Rescue and Response System. In case degree of disaster vulnerability is below predetermined threshold value, the analytics output is transmitted to higher level modules for in-depth advanced analytics by combining real-time train data or real-time geographic and environmental data contributing to a potential disaster.

A method and system for enabling multiple users from different physical locations to access, observe, control and manipulate physical processes and devices over a computer network such as the Internet is disclosed. A user may visually monitor the physical set up and state of an experiment or environment by receiving live video and data, as well as directly control instrumentation while receiving live feedback regarding the input commands. Measurement data may be collected into a database and computational analysis can be generated and displayed as a physical process is being performed. An online interactive laboratory notebook is also provided that manages items such as collected data, laboratory parameters, “to do” lists, personal notes, etc.

Computerized interpretation of medical images for quantitative analysis of multi-modality breast images including analysis of FFDM, 2D / 3D ultrasound, MRI, or other breast imaging methods. Real-time characterization of tumors and background tissue, and calculation of image-based biomarkers is provided for breast cancer detection, diagnosis, prognosis, risk assessment, and therapy response. Analysis includes lesion segmentation, and extraction of relevant characteristics (textural / morphological / kinetic features) from lesion-based or voxel-based analyses. Combinations of characteristics in several classification tasks using artificial intelligence is provided. Output in terms of 1D, 2D or 3D distributions in which an unknown case is identified relative to calculations on known or unlabeled cases, which can go through a dimension-reduction technique. Output to 3D shows relationships of the unknown case to a cloud of known or unlabeled cases, in which the cloud demonstrates the structure of the population of patients with and without the disease.

A metric application unit receives data under analysis having a plurality of attributes and a metric indicative of the distance between the data under analysis, calculates the distance between the data under analysis, and output and stores a data analysis result which is generated from an analysis on the data under analysis with a predetermined function, using the calculated distance between the data under analysis. A metric optimization unit generates side-information based on an indication of feedback information entered from the outside and including either similarities between the data under analysis, or the attributes, or a combination thereof, generates a metric which complies with a predetermined condition, based on the generated side information, and stores the generated metric in a metric learning result storage unit.

The invention relates to a line loss lean comprehensive management system and a line loss lean comprehensive management method. Relevant line loss data dispersed at automation systems are integrated so as to establish a uniform line loss databank and eliminate line loss information isolated island. The data is read on line so as to calculate the line loss, and the conventional line loss calculation is changed into on-line statistics and calculation from afterwards statistics and calculation, so that the real-time property in line loss analysis is enhanced. The line loss situation of an electric power bureau is calculated in the overall angle, the calculation and analysis on the line loss cover all voltage grades of a power grid, and the comprehensiveness and the completeness in line loss calculation and analysis are ensured. By adopting the on-line calculation mode, the situation that in the past the calculation and analysis can only be carried out on typical days is changed, the line loss analysis does not change along with the change of the season and the external environment any longer, the calculation result is more accurate and real, the situation that in the past only the line loss result is singly and roughly analyzed is changed, the working cost is lowered, and the working efficiency is improved.

A microsurgery simulator simulates various microsurgical procedures (e.g., nerve reapproximation, ear drain deployment) that utilize a surgical microscope. A surrogate surgical microscope includes a mobile device and an eye piece. A physical surrogate surgical interface represents an interface between a user and a simulated surgical scenario. Sensors sense the user's manipulation of the surrogate surgical interface. A surgical simulation generator generates a real time 3D surgical simulation based on the sensed manipulation. The generator renders the real time surgical simulation into a real time computer graphics generated video representation that is displayed on a screen of the mobile device. A processor of the mobile device is configured to perform at least a portion of a computational analysis that is used to generate the real time computer graphics generated video representation.

A radiation detection system includes many receivers to continuously receive radiation emission data from at least some of a sufficient density of dispersed detectors capable of communicating geo-positions and photon emission counts over a network; the data includes gamma intensities, time stamps, and geo-positions. A processor builds digital image data of the received radiation data for a geographic area by treating gamma-ray proton data from each dispersed detector as a pixel in a low-light image. The processor continuously executes a plurality of statistical computational analyses on the digital image data to separate detected radiation signals from random, undesired signal noise, and known signal noise or sources. The statistical computational analyses include match-filter and / or other convolution techniques. An interface reports to a user when the computational analyses result in detection of a radiation signal and reports a location of one or more of the dispersed detectors that contribute to the detection.

Methods of identifying a sequence of a nucleic acid that is suitable for use as a surface immobilized probe for two or more mRNA transcripts encoded by the same gene are provided. In practicing the subject methods, a consensus region for the two or more transcripts is first identified, and this identified consensus region is then employed to identify the suitable nucleic acid sequence, e.g., by using a probe design protocol. The subject invention also includes algorithms for performing the subject methods recorded on a computer readable medium, as well as computational analysis systems that include the same. Also provided are nucleic acid arrays produced with probes having sequences identified by the subject methods, as well as methods for using the same.

An improvement to the prior-art extends an intelligent solution beyond simple IP packet switching. It intersects with computing, analytics, storage and performs delivery diversity in an efficient intelligent manner. A flexible programmable network is enabled that can store, time shift, deliver, process, analyze, map, optimize and switch flows at hardware speed. Multi-layer functions are enabled in the same node by scaling for diversified data delivery, scheduling, storing, and processing at much lower cost to enable multi-dimensional optimization options and time shift delivery, protocol optimization, traffic profiling, load balancing, and traffic classification and traffic engineering. An integrated high performance flexible switching fabric has integrated computing, memory storage, programmable control, integrated self-organizing flow control and switching.

The invention belongs to the technical fields of simulating computational analysis and modal testing, and relates to a flutter stability domain modeling approach for a face cutting process. After all kinds of characteristic parameters of a material are known, a computer simulates a machining cutting process, calculates the cutting force in the machining process and analyzes the corresponding cutting coefficient. After the cutting coefficient is obtained, a modal experiment is utilized, modal testing is carried out on a machine tool spindle tool system, and the modal characteristic parameters of the machine tool spindle tool system are analyzed and comprise a multiple-order inherent frequency, a damping ratio, dynamic stiffness and the like. According to a flutter cutting theory, a stability lobe graph is drawn through combining the cutting coefficient and the system characteristic parameters and utilizing a computer assemble program, and is used for selecting the reasonable cutting parameter to avoid a flutter region, the processing precision and quality are improved, and a machine tool system is protected.

The invention discloses a transmission line malfunction visualized report method and system based on a Web and a GIS. The system comprises a web server side (1), a switch (2) and a client side (3). The web server side (1) is used for acquiring transmission line malfunction information, locating a malfunction to a specific tower, and providing Web services by combining a satellite map. The switch (2) is used for enabling the web server side (1) and the client side (3) to be connected. The client side (3) is used for visualized displaying of the transmission line malfunction. After electric transmission lines of a power grid break down, the system is triggered to work, the Web service side locates the malfunction tower position and generates an XML file after malfunction information computational analysis, and provides Web services to the client side (3) to carry out visualized displaying of the malfunction information. According to the transmission line malfunction visualized report method and system based on the Web and the GIS, the transmission line malfunction information is displayed visually in real time, the visual cognition degree of power transmission network malfunctions is improved, the capacities that power enterprise personnel display important information in a large amount of power system data and monitor the states of the power grid can be improved, and the reliability of the system is guaranteed.

The invention discloses a large steam turbine-generator set rotor crack fault real-time diagnosis method belonging to the filed of mechanical vibration state monitoring and fault diagnosis. Necessary computational analysis and judgment for vibration data are carried out by collecting the vibration signal of a rotor shaft of a steam turbine. The shaft vibration base frequency vibration amplitude and double frequency vibration amplitude at both sides of the rotor are computed in real time and the shaft vibration base frequency vibration amplitude is validated in real time so that the shaft vibration base frequency vibration amplitude at any side of the rotor is judged whether to be larger than vibration amplitude threshold value. Combined with least square method and product-moment correlation coefficient calculating method, real-time quantitative computational analysis, such as incremental validation of the shaft vibration base frequency vibration amplitude and incremental validation of double frequency vibration amplitude of shaft vibration, is carried out on the vibration data of shaft vibration base frequency. Based on the quantitative computational analysis and combined with each verification result, on-line diagnosis of the generator set whether to have rotor crack fault is automatically carried out in real time. The method has the advantages of scientific method and reliable conclusion, and on-line monitoring and fault diagnosis can be automatically realized in real time.

The invention discloses a test method for the fatigue damage and the service life of a horizontal axis wind turbine blade, aiming to obtain a more exact blade fatigue performance parameter by adopting a test detection and computational analysis means having low cost and high efficiency so as to meet the requirements of blade design, research and development and detection. The method is characterized in that on the basis of the characteristic that the impeller speed of a horizontal axis wind turbine is lower, and the period change frequency of various fatigue loads is also lower, a series of steps of carrying out static loading testing on the wind turbine blade to obtain a stress / strain amplitude distribution condition under the effect of various fatigue loads and analyzing by combining a material property curve and a cumulative damage theory are adopted to realize the evaluation to the blade fatigue performance. Compared with the traditional horizontal axis wind turbine blade fatigue testing technology, the method has the advantages of short period, low cost, capability of obtaining a final service life parameter of the blade, and the like.

The invention researches the substantive characteristics of material deformation to aim at the practical problem of measuring real stress-real strain and discloses a real stress-real strain calculating model and a practical testing system: 1, based on the analysis on the deformation of a tension specimen, taking a unit body the special part of which is provided with characteristics as the object for the stress-strain analysis, building a unique full-deformation unit model, firstly solving the theory analysis problem of real stress-real strain, establishing a theory foundation and building a novel real stress-real strain calculating formula: Sigma i is equal to 4Fi / Pi d<2>I and Epsilon is equal to (d<2>0 / d<2>i) minus 1; 2, adopting a machine visual technology and an image processing method to develop a practical software system and a practical hardware system that are compatible with the machine visual technology and the image processing method, and realizing the direct non-contact real stress-real strain measuring in real meaning; 3, the testing system includes a light source (1), CCD camera (2), an image acquisition card (3), a data acquisition card (4) and a material testing machine (5); 4,the software includes image capturing program, load data acquisition program and comprehensive calculation analysis program.

Systems, methods and recordable media for facilitating user-guidance of computational analysis and knowledge extraction tools for use with biological data for disambiguation and determination of causation in representations of the data. Systems, methods, tools and computer readable media for user-guided expansion of biological networks and manipulations of the same. Tools for qualitative simulation of network models, for identifying interactions between multiple networks and form maintaining knowledge about multiple alternative biological networks. Combinations of portions of networks may be constructed to provide optimal networks. Networks may be evaluated against experimental data and networks of interest may be identified based on experimental data.

A system for detecting whether a file including content s associated with a cyber-attack is described. The content may include an executable file for example. The system includes an intelligence-driven analysis subsystem and a computation analysis subsystem. The intelligence-driven analysis subsystem is configured to (i) receive the file, (ii) inspect and compute features of the file for indicators associated with a cyber-attack, and (iii) produce a first output representing the detected indicators. The computational analysis subsystem includes an artificial neural network to (i) receive a network input being a first representation of at least one section of binary code from the file as input, and (ii) process the first representation of the section to produce a second output. The first output and the second output are used in determination a classification assigned to the file.

The invention discloses a transformer area line loss calculation method based on correlation analysis and data mining. The transformer area line loss calculation method selects the characteristic index data with greater influence as the input of the deep belief network by comparing and analyzing the influence of the electrical characteristic indexes of different transformer areas on the line lossrate of the transformer areas, carries out training by distinguishing different types of transformer areas by using a clustering algorithm respectively so as to mine the complex incidence relation between the input parameters and the transformer area line loss rate, and finally, generates a transformer area line loss prediction model which is rapid and efficient in calculation and relatively highin result accuracy, so that the transformer area line loss is calculated and analyzed by utilizing the model, and the problems that an existing transformer area line loss calculation method cannot accurately and effectively mine association of transformer area line loss influence factors, the calculation working efficiency and accuracy are low and the like are solved.

The invention belongs to the field of simulation and computational analysis on power systems, particularly relating to a method for splicing and integrating models in a real-time simulation system of a large power system. The method is characterized in that the online calculating data of an intranet is reserved completely, an extranet is supplemented with offline data, and through integrating an offline model (which is not consistent in time and space) with online data, integrated data which is complete in modeling and consistent with the actual conditions of the power system can be provided in seconds or minutes. The method comprises the following steps: firstly, splicing and checking the online data, and carrying out grandstream verification on the online data so as to judge whether the online data is available; then, on the basis of intelligently setting up an online / offline data mapping table, supplementing the equivalent part of the extranet in the online data with the corresponding offline data; and finally, after adjusting the boundary connection and boundary grandstream, carrying out topology analysis and grandstream calculation on the whole network, thereby obtaining a model which can be used for the calculation of a large real-time simulation system.

The invention provides a safety analyzing system of a power network. The safety analyzing system is used for collecting real-time data, parameter data and the like of the power network, and building the data into a visualized model according to an IEC61970 (international electrotechnical commission) standard, so a manual calculation work mode of the power network operation method is changed, the working efficiency is improved, and an auxiliary decision is provided for the arrangement of the power network operation method. The safety analyzing system has the advantages that the purposes of centralized management, graded use, and interaction and sharing of the calculation and analyzing results are realized, and a support platform is provided for the stable analyzing and calculation of cooperation trends for the upper-level and lower-level dispatching of the power network operation method.