397 results about "Combined result" patented technology

Systems, methods, devices and computer program products which relate to utilizing a camera of a mobile terminal as a user interface for search applications and online services to perform visual searching are provided. The system consists of an apparatus that includes a processor that is configured to capture an image of one or more objects and analyze data of the image to identify an object(s) of the image. The processor is further configured to receive information that is associated with at least one object of the images and display the information that is associated with the image. In this regard, the apparatus is able to simplify access to location based services and improve a user's experience. The processor of the apparatus is configured to combine results of robust visual searches with online information resources to enhance location based services.

A method, system and computer program product for assessing information security interviews users regarding technical and non-technical issues. In an embodiment, users are interviewed based on areas of expertise. In an embodiment, information security assessments are performed on domains within an enterprise, the results of which are rolled-up to perform an information security assessment across the enterprise. The invention optionally includes application specific questions and vulnerabilities and/or industry specific questions and vulnerabilities. The invention optionally permits users to query a repository of expert knowledge. The invention optionally provides users with working aids. The invention optionally permits users to execute third party testing/diagnostic applications. The invention, optionally combines results of executed third party testing/diagnostic applications with user responses to interview questions, to assess information security. A system in accordance with the invention includes an inference engine, which may include a logic based inference engine, a knowledge based inference engine, and/or an artificial intelligence inference engine. In an embodiment, the invention includes an application specific tailoring tool that allows a user to tailor the system to assess security of information handled by a third party application program.

A method of detecting an intrusion into (or an anomaly in a behavior of) a target software system begins by instrumenting the target software system to generate behavior data representing a current observation or observation aggregate. The method then determines whether the current observation or observation aggregate warrants a second level examination; preferably, this determination is made by processing the current observation or observation aggregate through a first level detection algorithm that provides a first, provisional indication of a possible intrusion. If a result of executing the first level detection algorithm indicates that the current observation or observation aggregate warrants a second level examination, the method continues by processing the current observation or observation aggregate through at least one or more second level detection algorithms to provide a second, more definite, fine grain indication of a possible intrusion. The observation aggregates used by the first and second level detection algorithms may be the same or different. The first and second level detection algorithms may be executed in the same or different systems, machines or processors. The target software system operation may be suspended as the current observation or observation aggregate is processed through the one or more second level detection algorithms. A given action (e.g., sending an alert, logging the event, activating a countermeasure, or the like) may be taken if the result of the second level examination indicates a possible intrusion. Multiple algorithms may be executed together within a single examination level, with the individual results then analyzed to obtain a composite result or output indicative of intrusive or anomalous behavior.

Demographic information of an Internet user is predicted based on an analysis of accessed web pages. Web pages accessed by the Internet user are detected and mapped to a user path vector which is converted to a normalized weighted user path vector. A centroid vector identifies web page access patterns of users with a shared user profile attribute. The user profile attribute is assigned to the Internet user based on a comparison of the vectors. Bias values are also assigned to a set of web pages and a user profile attribute can be predicted for an Internet user based on the bias values of web pages accessed by the user. User attributes can also be predicted based on the results of an expectation maximization process. Demographic information can be predicted based on the combined results of a vector comparison, bias determination, or expectation maximization process.

A real-time vehicular traffic flow display system employs groups of monitor stations positioned at spaced-apart locations along vehicular roadways, to sense the speed of traffic flow on a given portion of a route. Individual section stations each serve a sequential group of different monitor stations. Each monitor station senses the speed of vehicular traffic a given road portion and transmits corresponding information to an associated section station; each section station processes the received signals, and transmits them to display stations on board vehicles in addition to sending the signals to an optional geographic area central station. The signals transmitted to vehicles present information concerning traffic speed for each monitored portion of a road in addition to identifying the road portion; traffic speed information is processed to identify predetermined ranges of average speed in selected colors. Each vehicle station includes a Global Positioning System (GPS) receiver and visual display device with access to both the GPS including a database of local area road maps for display. All portions of each monitored route on a displayed map are shown in a color corresponding to the average speed of traffic monitored on the corresponding route portion. The current position of the vehicle station is shown on the map, and a “preferred” route from that location to an optionally selected destination is highlighted; both functions are accomplished in accordance with known GPS technology. An optional geographic area central station stores information not usually available in the on-board vehicle station, such as wide-area maps, and also receives traffic condition signals from various section stations including those beyond the range of the vehicle station. The central station correlates these two sources of information and makes the combined results available for separate access by users of the system.

A method for predicting localized damage and naturally occurring fractures in a subsurface region is provided. This invention uses a hybrid FEM-DEM (i.e. finite-discrete element) framework combined with a fracture risking analysis and fracture initiation and propagation criteria, to model the transition of rock from a state of continuum to discontinuum. The risking analysis combines results from other natural fracture prediction tools (e.g. displacement discontinuity method, restoration analyses, curvature analysis, analytical solutions, continuum analysis) to augment FEM-DEM solutions, such as by providing remote and local boundary conditions and identifying potential regions of anticipated damage and fracturing. Natural fractures and damage information is extracted from the modeling results and may be used directly for predictions or used as input into other fracture analysis tools or techniques. The FEM-DEM and risking techniques can be incorporated into a variety of numerical simulation software packages that use a finite-discrete method solver.

A Double Blinded Privacy-Safe Distributed Data Mining Protocol is disclosed, among an aggregator, a data consumer entity having privacy-sensitive information, and data source entities having privacy-sensitive information. The aggregator does not have access to the privacy-sensitive information at either the data consumer entity or the data source entities. The aggregator formulates a query without using privacy-sensitive information, and sends the query to the data consumer entity. The data consumer entity generates a list of specific instances that meet the conditions of the query and sends the list, encrypted, to the data source entities either directly or through the aggregator. The data source entities match the list against transactional data, de-identify the matched results, and send them to the aggregator. The aggregator combines results from data source entities and sends the combined result to the data consumer entity. This allows for privacy-safe data mining where both the data consumer entity and data source entities have privacy-sensitive information not available for the aggregator to see or use.

In one embodiment, a distributed intelligence agent (DIA) collects local state information from a plurality of minimalistic connected objects (MCOs) in a computer network, the local state information for each MCO comprising a corresponding neighbor list and a selected next-hop for the respective MCO, where one or more of the MCOs are configured to select their next-hop without any self-optimization. The DIA may then analyze a current routing topology, which is the combined result of the selected next-hops, in comparison to a computed optimal routing topology, and (optionally) in light of required service level agreement (SLA), to determine whether to optimize the current routing topology. In response to determining that the current routing topology should be optimized, the DIA may transmit a unicast routing instruction to one or more individual MCOs to instruct those individual MCOs how to optimize the current routing topology, accordingly.

A weight vector computing unit derives amounts of phase rotation for a plurality of multicarrier signals, respectively, and rotates the phase of a weight vector. A combining unit weights respectively a plurality of multicarrier signals with the phase-rotated weight vector, combines weighting results, and determines a combined result. A receiving weight vector computing unit remodulates the determined result and derives a first phase difference between the plurality of multicarrier signals and a result of the remodulation. The receiving weight vector computing unit remodulates the values of pilot signals and derives a second phase difference between the plurality of multicarrier signals and a result of the remodulation. Further, the receiving weight vector derives phase rotation amounts based on the first phase difference and the second phase difference.

An apparatus and method for processing a data backup service of a mobile terminal. The apparatus and method backs-up data files stored in a mobile terminal in a backup server over a wireless Internet. The backup server is capable of backing-up resource information of the mobile terminal. The apparatus and method comprise a) checking setup backup resources during a backup setup procedure, and attempting to establish a connection to the backup server; b) analyzing category information of data to be transmitted to the backup server after connecting to the backup server, determining the number of references if the data category is equal to data including iterative information, and determining a division interval on the basis of a file size and performing data synchronization if the data category is equal to data including binary data. The apparatus and method further comprise c) separately storing the synchronization data serving as the iterative information and combining the separately-stored results when the synchronization data is determined to be iterative information, or divisionally storing the synchronization data, combining the divisionally-stored results, and transmitting the combined result when the synchronization data is determined to be divisionally-designated data; and d) terminating a backup operation of the mobile terminal when the backup server generates a response signal after the data is transmitted to the backup server.

Techniques for static code analysis are provided. The techniques include routing a code analysis request to a set of one or more static code analysis tools based on a context of the request, merging one or more tool-specific outputs of the code analysis, wherein merging the one or more tool-specific outputs comprises using one or more tool-specific mappings to one or more static code analysis abstractions and one or more source linkages of one or more static code analysis defects, performing a deep analysis on a set of one or more defect categories, and combining results of the merging with the deep analysis to filter out one or more false-positives and to add one or more new true positives to create an optimal set of defects.

A system and method for reducing the overhead associated with direct data placement is provided. Processing time overhead is reduced by implementing packet-processing logic in hardware. Storage space overhead is reduced by combining results of hardware-based packet-processing logic with ULP software support; parameters relevant to direct data placement are extracted during packet-processing and provided to a control structure instantiation. Subsequently, payload data received at a network adapter is directly placed in memory in accordance with parameters previously stored in a control structure. Additionally, packet-processing in hardware reduces interrupt overhead by issuing system interrupts in conjunction with packet boundaries. In this manner, wire-speed direct data placement is approached, zero copy is achieved, and per byte overhead is reduced with respect to the amount of data transferred over an individual network connection. Movement of ULP data between application-layer program memories is thereby accelerated without a fully offloaded TCP protocol stack implementation.

The disclosed multi-classifier combination face recognition method based on feature sorting comprises: extracting face area from initial image for pre-process and feature extraction; feature sorting to obtain different face feature groups; designing component classifier for every group to recognize face and combine results for optimal effect. This invention overcomes dimension disaster, reduces algorithm complexity, and improves recognition performance.

A computer-implemented system for creating customized model ensembles on demand is provided. An input module is configured to receive a query. A selection module is configured to create a model ensemble by selecting a subset of models from a plurality of models, wherein selecting includes evaluating an aspect of applicability of the models with respect to answering the query. An application module is configured to apply the model ensemble to the query, thereby generating a set of individual results. A combination module is configured to combine the set of individual results into a combined result and output the combined result, wherein combining the set of individual results includes evaluating performance characteristics of the model ensemble relative to the query.

Apparatus, method, and software for electrocardiogram-assisted non-invasive arterial blood pressure d stiffness measurement is disclosed including brachial cuff with flexible electrodes, control box with rigid electrodes, and associated hardware/software. Cuff is wrapped around upper arm while electrodes on device are touched with fingers of other hand. Device acquires simultaneous ECG/oscillometric data during cuff deflation. Processing unit determines ECG R-peak positions to isolate arterial pulses and calculate pulse transit time. Change in pulse amplitude as function of cuff pressure is used for constructing oscillometric envelope and calculating blood pressure using empirical coefficients. Change in pulse transit time as function of cuff pressure is used independently for constructing pulse transit time envelopes and finding blood pressure with/without empirical coefficients. Fusion algorithm combines results for robust blood pressure and vessel stiffness evaluation. Device sends physiological information to personal computer/smartphone wirelessly, for further analysis. Computer/smartphone transmits information to third party for patient management.

The invention discloses a system and a method for locating an inspection robot in a petrochemical plant. The system comprises a global positioning system (GPS) observation unit, an ultra-wide bandwidth (UWB) observation unit, a visual observation unit, a laser observation unit, a mileage observation unit, a combination decision module, an inertial state estimation module, an available positioningobservation/strapdown inertial navigation system (SINS) combination module, and a positioning information fusion module. The GPS observation unit, the UWB observation unit, the visual observation unit, the laser observation unit and the mileage observation unit acquire the respective observation data and send same to the combination decision module; the combination decision module performs multi-layer map-based positioning by combining an environmental map model stored in an environmental model prior information module so as to determine available observation types; the available positioning observation/SINS combination module combines available observation data with a corresponding motion equation established by an inertial state estimation module, and the combined result is sent to the positioning information fusion module for carrying out final integrated pose estimation. The system and the method solve the problem of seamless positioning of the inspection robot which runs in various complicated regions of the petrochemical plant, and guarantee the continuity of a positioning process and the stability of the positioning result.

The invention discloses a multispectral face detection method based on a graphics processing unit (GPU). The GPU based on compute unified device architecture (CUDA) is used for calculating an infrared light video and a visible light video which are recorded synchronously, so that features of a face in an infrared light image and a visible light image are detected respectively; and an infrared light detection result and a visible light detection result are combined synchronously, and a combined result is used as a face feature of a human and output. According to the multispectral face detection method, the face detection results based on the infrared light image and the visible light image are combined. The detection method is not influenced by light, and a detected face image is an accurate visible light image; and a face in an image can be detected under a severe environment. During detection, a support vector machine (SVM) classifier for classifying attitudes of faces is constructed; and due to the classification of the attitude classifier, face detection based on an adaboos detection algorithm is performed on sub types of infrared images. According to the technology, faces with various attitudes in the infrared images can be detected; and the limitation that only front faces in the infrared images can be detected is broken through.

The invention discloses a real time diagnosing method for turbo unit rotor thermal bending malfunctions. The method processes the calculation, analysis and judgments for the vibrating data via collecting the rotor vibrating signals of the turbo unit; and the method processes the real-time calculation of storage on both sides of the rotor shaft relative vibration frequency of vibration amplitude and phase values, and real-time axis vibration frequency of vibration amplitude in real-time authentication, determine any side of the rotor shaft vibration amplitude of the vibration frequency is greater than the vibration amplitude threshold. Then the method is combined with least square method, based on the axial vibration frequency of vibration data axis vibration frequency of the vibration amplitude of the trend of flat-based authentication and shaft vibration frequency vibration phase of verification, such as the trend of moderate real-time quantitative calculation and analysis. Calculated in real-time quantitative analysis based on the combined results of the verification, automatic real-time diagnosis of whether units imbalance rotor thermal bending failure. The invention has the advantages of scientific method; reliable conclusions can automatically real-time online monitoring, fault diagnosis and so on.

The invention discloses a vehicle navigation system with the high safety and a guiding method thereof. The vehicle navigation system comprises a real-time data collection unit, a data processing unit, a navigation map storage unit and an output reminding unit; the data processing unit receives real-time data collected by the real-time data collection unit, the real-time data is matched with map data provided by the navigation map storage unit after being processed, and then guiding information is output by the output reminding unit. Accordingly, the driving safety is promoted through sensor recognition results, sensors comprise a high-precision map, a binocular camera and a radar, the characteristics of all the sensors are combined, targeted screening and filtering are conducted, and after the results are integrated, the safety guiding information is output.

Network selecting is a key problem of wireless resource management under a heterogeneous network scene. The invention provides a network selecting method based on multi-attribute decision-making and group decision-making. First, a subjective decision-making result and an objective decision-making result are obtained through a multi-attribute decision-making method, the subjective decision-making result and the objective decision-making result are obtained through a level analysis method and an entropy weight method respectively, then the subjective decision-making result and the objective decision-making result are combined through the group decision-making, compatible theory in the group decision-making is adopted for judging rationality of the combined result, whether the combined result has rationality is judged, if the result is not reasonable, decision-making is required, and combination is conducted again. The decision-making is conducted for a network according to the combined result, and a suitable network is selected for users. The network selecting method not only gives consideration to objective attribute, but also gives consideration to preference of the users, and the users can not select some networks with poor performance according to preference of the users. The network selecting method not only can effectively reduce times of switching, but also can provide satisfactory service quality for the users.

A method and a supply modulator (SM) are provided for supplying power from a wireless transmitter to a radio frequency (RF) power amplifier. A power control signal input from a modem is received. A reference voltage is determined. An operating mode of the SM is changed by controlling a level of the reference voltage. A voltage is determined based on the level of a reference voltage. When the operating mode of the SM is an ET mode, a first output signal from a linear regulator and a second output signal from a switching regulator are combined to obtain a combined result, and the combined result is output. The first output signal is based on the voltage. When the operating mode of the SM is an APT mode, the voltage based on the reference voltage is output.

A method and apparatus for iterative computer-mediated collaborative synthesis and analysis synthesizes a first focus topic in accordance with ideas collected from a plurality of cooperating users. The first focus topic triggers an analysis of that focus topic. The conclusions of this analysis indicate shortcomings in the first focus topic and trigger a further synthesis of the first focus topic. The further synthesis results trigger further analysis, and so on, on an iterative basis. The cooperating users follow a process template comprises of a scripted series of synthesis and analysis activities. Facilitation support is provided to the cooperating users to assist the cooperating users in accomplishing each activity in sequence. In further embodiments, a second focus topic is synthesized in response to the conclusion implied by the analysis of the first focus topic, and an analysis of the second focus topic is triggered.