Abstract: Systems and methods are described that allow a Programmable Logic Controller (PLC) to receive Demand Response (DR) data and process the data in a PLC Function Block (FB). Embodiments provide a PLC demand response FB that solicits DR data and a demand response load manager FB that compares the DR data with predetermined demand constraints corresponding to electrical equipment. The demand constraints provide energy consumption strategies for buildings and factories.

Abstract: High intensity ultrasound is used for pipeline obstruction remediation. Ultrasound transducers are positioned around an outside of the pipeline. The transducers transmit acoustic energy into the obstruction. The acoustic energy heats the obstruction at a location spaced away from the walls of the pipeline. As the obstruction heats, an opening may be formed in the obstruction, relieving pressure build-up without releasing the plug.

Abstract: An acoustic signal traversing a hot gas is sampled at a source and a receiver and is represented in overlapping windows that maximize useable signal content. Samples in each window are processed to represented in different sparsified bins in the frequency domain. Determining a signal delay between the source and the receiver from a summation of maximum smoothed coherence transform cross-correlation values of different data windows wherein a sparseness of a mean smoothed coherence transform cross-correlation of windows is maximized. Determining a set of delay times wherein outliers are deleted to estimate a time of flight from which a temperature of the hot gas is calculated.

Abstract: A method for managing allocation of electrical power includes selecting one or more power consuming entities for receiving a request to reduce electrical power usage (S23) based on data pertaining to past selections of entities for receiving requests to reduce power and a history of compliance with said requests (S22). A customized request to reduce power usage for each of the selected one or more power consuming entities is generated (S24). The generated customized request to reduce power usage is received at a corresponding power consuming entity and a cost associated with complying with the received customized request to reduce power usage is evaluated (S25). A commitment to comply with the received customized request to reduce power usage is returned when the evaluated cost is within a threshold of acceptability and negotiating a new request to reduce power when the evaluated cost is greater than a threshold of acceptability (S26).

Abstract: A method and system for non-invasive assessment of coronary artery stenosis is disclosed. Patient-specific anatomical measurements of the coronary arteries are extracted from medical image data of a patient acquired during rest state. Patient-specific rest state boundary conditions of a model of coronary circulation representing the coronary arteries are calculated based on the patient-specific anatomical measurements and non-invasive clinical measurements of the patient at rest. Patient-specific rest state boundary conditions of the model of coronary circulation representing the coronary arteries are calculated based on the patient-specific anatomical measurements and non-invasive clinical measurements of the patient at rest. Hyperemic blood flow and pressure across at least one stenosis region of the coronary arteries are simulated using the model of coronary circulation and the patient-specific hyperemic boundary conditions.

Abstract: A method and system for multi-atlas segmentation brain structures and vessel territories in a brain computed tomography (CT) image is disclosed. Each of a plurality of atlas images is individually registered to an input brain CT image, resulting in a plurality of warped atlas images. A region of interest is defined based on labeled brain structures in each of the plurality of warped atlas images. For each atlas image, a respective sum of squared difference (SSD) value is calculated between the corresponding warped atlas image and the brain CT image within the region of interest defined for the corresponding warped atlas image. A number of the atlas images are selected based on the SSD values calculated for the atlas images. The brain structures and vessel territories are segmented in the brain CT image using only the selected atlas images.

Abstract: Systems and methods are provided to record at least a first and a second image of a marking on a surface of an object with a mobile computing device including a processor, a display and a camera with a lens. The lens and the display are located at the same side of the body of the computing device. The first image is taken with a first part of the display illuminating the object and the second image is taken with a second part of the display illuminating the object illuminating the object from different directions. Different illumination directions provide different shadow effects related to ridges and grooves on the surface. Processing the images which are substantially registered allows extraction of markings created by ridges and or grooves on the surface of the object. Computer tablets and smart phones perform the steps of the present invention.

Abstract: In a machine condition monitoring technique, related sensors are grouped together in clusters to improve the performance of state estimation models. To form the clusters, the entire set of sensors is first analyzed using a Gaussian process regression (GPR) to make a prediction of each sensor from the others in the set. A dependency analysis of the GPR then uses thresholds to determine which sensors are related. Related sensors are then placed together in clusters. State estimation models utilizing the clusters of sensors may then be trained.

Abstract: A semantic tagging engine automatically generates semantic tags for the given documents and enables semantic search, based on meanings of search terms and content tags. A Semantic Knowledge Management Tool (SKMT) forms a semantic search and knowledge management platform to search, analyze and manage enterprise content. SKMT scans different content sources and generates indexes of semantic keywords. Its interface allows users to manage various data sources, search, explore and visualize search results at semantic level. SKMT provides high precision of semantic search and semantic data visualization.

Abstract: A method for estimating a remaining useful life of a system includes monitoring sensor data from sensors deployed within a system. A plurality of features are extracted from the sensor data. Tree graphs are generated including mathematical operators and features as nodes and a advanced feature is produced from each of the tree graphs by transforming the tree graphs into equations. A recursive operation including analyzing a fitness of each of the advanced features, performing crossover/mutation on the tree graphs, producing advanced features from the altered tree graphs, and analyzing the fitness of the altered tree graphs to produce at least one final advanced feature is performed. A remaining useful life of the system is calculated based on the final advanced feature.

Abstract: A computer-implemented method for calculating a multi-dimensional wavelet transform in an image processing system comprising a plurality of computation units includes receiving multi-dimensional image data. An overlap value corresponding to a number of non-zero filter coefficients associated with the multi-dimensional wavelet transform is identified. Then the multi-dimensional image data is divided into a plurality of multi-dimensional arrays, wherein the multi-dimensional arrays overlap in each dimension by a number of pixels equal to the overlap value. A multi-dimensional wavelet transform is calculated for each multi-dimensional array, in parallel, across the plurality of computation units.

Abstract: Computer assisted design data is rendered in the cloud. A client-server relationship is provided for 3D rendering. To reduce the burden on the server, the 3D rendering adapts based on the client capabilities. Where possible, some of the 3D rendering is performed by the server and some by the client machine. The 3D rendering by the client machine may be limited to avoid transfer of geometrical data of the CAD data. Different textures or shaders are used for rendering images associated with motion. Dictionary information is accumulated by the client machine to reduce the number of coefficients later transferred to the client machine for 3D rendering. The model represented by the CAD data is used to predict rendered images so that video compression may be performed. The server sparsely renders an image and compressive sensing is used by the client machine to generate the complete image.

Abstract: A power grid of renewable sources is stabilized. Inverters for connecting power sources, such as wind turbines, batteries, or photovoltaics, to a grid are used to damp grid oscillations. The damping is distributed to the inverters, but based on measurements for the grid rather than local measurements. The control of the damping is based on grid wide analysis, and the damping is performed proportionately by already existing inverters distributed throughout the grid.

Abstract: A method of approximating a solution of a stochastic state estimation (SSE) model of an electric grid, includes choosing (70) starting anchor points in an SSE model of an electric grid, relaxing (71) constraints of an SSE objective function to solve for a feasible solution of the SSE model, calculating (72) updated dual variables and infeasibility reduction directions from the feasible solution, generating (73) a linear cut for the chosen starting anchor points, choosing (74) a step size toward the reduction directions, and updating (75) the anchor points through branching by making the chosen step, wherein each anchor point defines a rectangle that at least partially covers a feasible solution set of the SSE model and the set of rectangles covering the feasible solution set of the SSE model define an approximate solution of the SSE model of said electric grid.

Abstract: A method and system for fully automatic segmentation the prostate in magnetic resonance (MR) image data is disclosed. Intensity normalization is performed on an MR image of a patient to adjust for global contrast changes between the MR image and other MR scans and to adjust for intensity variation within the MR image due to an endorectal coil used to acquire the MR image. An initial prostate segmentation in the MR image is obtained by aligning a learned statistical shape model of the prostate to the MR image using marginal space learning (MSL). The initial prostate segmentation is refined using one or more trained boundary classifiers.

Abstract: A system generates medical knowledge base information by searching at least one repository of medical information to identify sentences including a received medical term. A data processor searches the identified sentences to identify sentences including a medical term different to the received term in response to a predetermined repository of medical terms and excludes sentences without a term different to the received term, to provide remaining multiple term sentences. The data processor groups different terms of individual sentences of the multiple term sentences to provide grouped terms, determines whether a medically valid relationship occurs between different terms of an individual group of terms of the grouped terms by using predetermined sentence structure and syntax rules and outputs data representing grouped terms having a medically valid relationship.

Abstract: A human-machine interface (HMI) application (26) uses parallel processing. The HMI engineering system (24) allows explicit specification (44) of different cores of a multi-core processor (16) for different elements and/or actions. The programmer may design the HMI application for concurrent operation. The HMI engineering system (24) or runtime system (28) may test (56) for data dependency amongst the elements or actions and automatically assigns different cores where data is independent. During runtime, different threads for the HMI application (e.g., different elements and/or actions) are scheduled for different cores.

Abstract: A method and system for patient-specific planning and guidance of an ablation procedure for cardiac arrhythmia is disclosed. A patient-specific anatomical heart model is generated based on pre-operative cardiac image data. The patient-specific anatomical heart model is registered to a coordinate system of intra-operative images acquired during the ablation procedure. One or more ablation site guidance maps are generated based on the registered patient-specific anatomical heart model and intra-operative patient-specific measurements acquired during the ablation procedure. The ablation site guidance maps may include myocardium diffusion and action potential duration maps. The ablation site guidance maps are generated using a computational model of cardiac electrophysiology which is personalized by fitting parameters of the cardiac electrophysiology model using the intra-operative patient-specific measurements. The ablation site guidance maps are displayed by a display device during the ablation procedure.

Abstract: Methods for computing hemodynamic quantities include: (a) acquiring angiography data from a patient; (b) calculating a flow and/or calculating a change in pressure in a blood vessel of the patient based on the angiography data; and (c) computing the hemodynamic quantity based on the flow and/or the change in pressure. Systems for computing hemodynamic quantities and computer readable storage media are described.

Abstract: A catheter (10) comprising a catheter tip (14) that is adapted to have deflection of an associated spring (22) detected by imaging techniques and to have that deflection be translated into an estimation of the tip (14) contact force.