Abstract: A computerized method performed by a processor, an apparatus and a computer program product the method comprising: receiving a model associating motion parameters of an action performed by a subject with a score, the model based at least partially on data obtained in a controlled environment while performing a task on a first time period; determining action parameters during motion of the subject within an uncontrolled environment on a second time period; and providing the action parameters to the model, to obtain an assessment of an expected score for the subject performance of the task as would be performed by the subject in the controlled environment.

Abstract: The data collecting method includes: collecting first and second sensor data respectively through a first and a second sensors while a data collecting apparatus moves within a target area, and tagging a first and a second timestamp values respectively to the first and the second sensor data; generating map data of the target area and location data at a point of time corresponding to the first timestamp value, based on the first sensor data; generating map information of the target area based on the map data, and generating moving path information on the map based on the location data; and estimating a sensing location at a point of time corresponding to the second timestamp value based on the moving path information, and tagging the sensing location to the second sensor data.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a storage device, for identifying one or more water dispensing appliances that are currently using water. In one aspect, the method includes actions of obtaining a dispensing appliance signature, obtaining water consumption data that is based on first sensor data from a first sensor that is installed at the property, identifying a particular water dispensing appliance from among multiple different water dispensing appliances located at the property based on an analysis of (i) the water dispensing appliance signature and (ii) the water consumption data, and responsive to identifying the particular water dispensing appliance located at the property based on an analysis of (i) the water dispensing appliance signature and (ii) the water consumption data, generating output data based on the one or more particular water dispensing appliances that were identified.

Abstract: Systems and methods for Geiger-mode laser vibrometry are described. An example method for laser vibrometry includes receiving a first time-series of single photon arrivals corresponding to a laser beam reflected from or transmitted through a target, the single photon arrivals including information corresponding to vibrations of the target, each single photon arrival separated in time from another single photon arrival, determining, based on two or more of the single photon arrivals, a discrete time sequence having a binary value, and generating a second time-series by assigning a non-binary value to each of the discrete time points, wherein each of the assigned non-binary values is determined based on a number of discrete time points lacking a photon arrival prior to receiving a photon.

Abstract: An early sign detection device includes a plurality of sensors, a data acquisition unit configured to acquire time series variation data of a physical amount from each of the plurality of sensors, a computation unit configured to compute an occurrence probability of a vibration mode involved in a sudden variant vibration of a detection subject from an amplitude or a phase of the time series variation data of the physical amount at each of the plurality of positions, and a detection unit configured to detect an early sign of the sudden variant vibration on the basis of the occurrence probability of the vibration mode. The plurality of sensors are respectively disposed at a plurality of positions of the detection subject and are each configured to measure the physical amount at a corresponding position of the plurality of positions.

Abstract: A method including retrieving an information for a subject, the information comprising a disease of the subject, a subject condition, and a previous condition. The method includes parsing a contract between a provider and a payor to identify a measurable value and identifying a contract success factor and a social determinant for the disease in the subject based on the subject condition, the measurable value, the previous condition, and the contract. The method also includes identifying multiple options available for the provider in a treatment of the disease in the subject. The method also includes identifying an expected condition based on the performance parameter and on the disease of the subject, and providing a recommendation to the provider for an action to improve the expected condition. A system and a non-transitory, computer-readable medium storing instructions to perform the above method are also provided.

Abstract: The present invention is a method of determining an induction factor of the wind for a wind turbine (1) equipped with a LiDAR sensor (2). For this method, wind speed measurements are performed in measurement planes (PM) by use of LiDAR sensor (2), then induction factors between measurement planes (PM) are determined by use of the measurements and of a first linear Kalman filter, and the induction factor between a measurement plane (PM) and the rotor plane (PR) of wind turbine (1) is determined by a second linear Kalman filter.

Abstract: A method and a system are disclosed for determining health of a web application. The method includes receiving data for parameters related to exceptions, network anomalies, resource performance, and user experience, associated with devices and servers in the IT environment. A score is determined for the parameters and compared in a multiple-rating scale to obtain parameter ratings for the parameters. A final rating for the exceptions, network anomalies, resource performance, and user experience are determined based on the parameter ratings. The determined final ratings are used for automatically generating an application health index. The application health index provides an accurate and near real-time indication of the health of an application by considering various parameters for each network node in the IT environment.

Abstract: An automated testing method and apparatus relate to the technical field of software test. The automated testing method includes: configuring a common Software Development Kit (SDK) interface and a Basic SDK model, and receiving a to-be-tested script comprising control information data and an operation type by using the SDK interface; performing a standardization process on the control information data using the SDK basic model to obtain a standard data structure; and running the to-be-tested script according to the operation type, and positioning a to-be-tested control in the to-be-tested script according to the standard data structure.

Abstract: Disclosed is a method comprising acquiring a value relating to VEGF-A of a subject, wherein the value is a measured value of total VEGF-A in a blood sample, or a value obtained by dividing a measured value of VEGF-A165b in the blood sample by a measured value of total VEGF-A in the blood sample (VEGF-A165b/total VEGF-A), and the value suggests prognosis of myocardial infarction of the subject or severity of coronary artery disease of the subject.

Abstract: A method for locating a tool in a 3D space is provided. The method includes determining whether location data, corresponding to a location of the tool, is available. If the location data is available, the method includes providing the location data for presenting the location of the tool. If the location data is not available, the method includes determining an estimated location of the tool based on a velocity of the tool and an acceleration of the tool, generating estimated location data corresponding to the estimated location of the tool and providing the estimated location data for presenting the estimated location as the location of the tool. The method also includes determining whether accelerometer data is available. If accelerometer data is available, the method includes using the accelerometer data to estimate the location of the tool.

Abstract: The present disclosure relates to a method, performed by at least one apparatus (2, 4, 6, 8), the method comprising: obtaining (22) from a user cleaning related information, and determining (42) a composition or a part thereof for an individualized cleaning agent to be produced based on the obtained cleaning related information. The present disclosure also relates to an apparatus, a system, a computer program code and a computer readable storage medium.

Abstract: An electronic device comprising circuitry configured to sample, in a calibration phase using a known time-of-flight ?D, a first set of differential mode measurements ?cal (n??E,?D) according to a first sampling strategy tEcal, and to determine Fourier coefficients Mk of the first set of differential mode measurements ?cal(?E,n,?D) based on the known time-of-flight (?D) used in the calibration phase, and to determine a cyclic error (fCE(?1,?(?D);x)) based on the Fourier coefficients (Mk).

Abstract: A device, system, and methods are provided for remotely monitoring pump equipment. A monitoring device is mechanically mounted to a pump. The monitoring device includes internal vibration, temperature, and location sensors to periodically monitor a pump and upload data samples via cellular connection to a provider network. The monitoring device additionally includes connections to external sensors that can be sampled and uploaded with the other data samples, when the monitoring device is connected to external power. Authenticated users access the pump data though a user device that connects to the provider network.

Abstract: A LIDAR system is configured to output a system output signal that travels away from the LIDAR system and can be reflected by objects located outside of the LIDAR system. The system output signal has a frequency versus time pattern with a repeated cycle. Each cycle of the frequency versus time pattern includes multiple data periods configured such that the system output signal is chirped differently in different data periods. The LIDAR system also includes electronics configured to generate multiple different sets of LIDAR data. Each set of LIDAR data indicates a radial velocity and/or separation between the LIDAR system and one or more of the objects located outside of the LIDAR system. Each set of LIDAR data is generated from light that is included in the system output signal during a group of multiple data periods. The groups of data periods including one or more common data periods that are each included in two or more different groups of data periods.

Abstract: A system is disclosed for correcting Uranium-free gamma logs. The system may receive data about a subterranean formation from a gamma-ray-logging process in a wellbore. The system may apply a photoelectric-suppression estimator to the data to determine a photoelectric-suppression factor using stored mud parameters and a wellbore diameter value. The data may be corrected by the system by using the photoelectric-suppression factor to generate a Uranium-free, gamma-ray log. The system may output the Uranium-free, gamma-ray log for determining characteristics of the subterranean formation.

Abstract: A method for automatic diagnosis of a mechanical system of a group of mechanical systems sharing mechanical characteristics includes obtaining data relating to a vibration. The vibration-related data is acquired by a portable communications device configured to communicate with a remote processor. The processor automatically diagnoses the mechanical system by applying a relationship to the obtained vibration-related data. The relationship is based on sets of vibration-related data previously obtained from the mechanical systems. Each set of vibration-related data relates to vibrations of a mechanical system. The relationship is further based on sets of operation data previously obtained for mechanical systems of the group. Each set of operation data indicates a previous state of operation of a mechanical system. Each of the previous states of operation is associated with at least one of the previously obtained sets of vibration-related data.

Abstract: A voltage-programmed display system allows measurement of effects on pixels in a panel that includes both active pixels and reference pixels coupled to a supply line and a programming line. The reference pixels are controlled so that they are not subject to substantial changes due to aging and operating conditions over time. A readout circuit is coupled to the active pixels and the reference pixels for reading at least one of current, voltage or charge from the pixels when they are supplied with known input signals. The readout circuit is subject to changes due to aging and operating conditions over time, but the readout values from the reference pixels are used to adjust the readout values from the active pixels to compensate for the unwanted effects.

Abstract: Provided is a cross-departmental decision support system for early diagnosis of a chronic kidney disease based on knowledge graph, which comprises a patient information model building module, a patient information model library storage module, a knowledge graph association module, a knowledge graph inference module and a decision support feedback module. According to the present application, by constructing a patient information model and utilizing an OMOP CDM standard terminology system, patient electronic medical record data is constructed into a patient information model with unified concept coding and unified semantic structure; making full use the advantages of semantic technology in data interactivity and scalability, so that the system has better adaptability and scalability to heterogeneous data in different hospitals.

Abstract: A system can receive fault likelihood data about a subterranean environment and apply a binary mask filter using a tuning parameter to convert the fault likelihood data to binary distribution data having a plurality of pixels arranged in a plurality of profiles in at least two directions. The system can perform, for each profile of the plurality of profiles, fault skeletonization on the binary distribution data to form fault skeletonization data with pixels connected that represent part of a fracture. The system can convert the fault skeletonization data to seismic volume data and combine and filter the seismic volume data in the at least two directions to form combined seismic volume data. The system can output the combined seismic volume data as an image for use in detecting objects to plan a wellbore operation.