Abstract: Disclosed is a three-parameter strength reduction method for slope stability evaluation. The present disclosure reflects the difference in the attenuation and contribution of the cohesion, internal friction angle and tensile strength in the process of slope instability by reducing the three parameters by different reduction factors. Based on the sudden change of the characteristic point displacement of the slope as a criterion of slope instability, the present disclosure derives the fitting relationship between the characteristic point displacement and the cohesion reduction factor. The present disclosure assumes that the comprehensive safety factor satisfies a linear relationship with the cohesion reduction factor, the internal friction angle reduction factor and the tensile strength reduction factor and derives the relationship between the comprehensive safety factor and the cohesion reduction factor.

Abstract: Data filtering and processing techniques for generating improved wellbore resistivity maps are contemplated. In some aspects, a process of the disclosed technology includes steps for receiving a plurality of measurement sets, wherein each measurement set includes electromagnetic field data associated with a geologic formation, performing an inversion on each of the plurality of measurement sets to generate a corresponding plurality of formation profiles, and applying a filter to each of the formation profiles to generate a plurality of profile clusters. In some aspects, the process can further include steps for selecting a representative cluster from among the profile clusters for use in generating a wellbore resistivity map. Systems and machine-readable media are also provided.

Abstract: A method of enhanced backward/forward sweep based power flow analysis is described. The method can include performing a backward sweep to determine first branch currents of a radial distribution network based on nodal voltages determined at a last iteration. The radial distribution network can include nodes and branches that are sequentially numbered and belong to different layers. A forward sweep is determined to determine first nodal voltages of the radial distribution network based on the first branch currents. Second branch currents of the radial distribution network are determined based on the first nodal voltages. The second branch current of the respective node is a sum of a nodal injection current of the respective node that is updated based on the first nodal voltage of the respective node, and if available, the first branch currents of branches emanating from the respective node.

Abstract: An analog computing system with coupled non-linear oscillators can solve complex combinatorial optimization problems using the weighted Ising model. The system is composed of a fully-connected LC oscillator network with low-cost electronic components and compatible with traditional integrated circuit technologies. Each LC oscillator, or node, in the network can be coupled to each other node in the array with a multiply and accumulate crossbar array or optical interconnects. When implemented with four nodes, the system performs with single-run ground state accuracies of 98% on randomized MAX-CUT problem sets with binary weights and 84% with five-bit weight resolutions. The four-node system can obtain solutions within five oscillator cycles with a time-to-solution that scales directly with oscillator frequency. A scaling analysis suggests that larger coupled oscillator networks may be used to solve computationally intensive problems faster and more efficiently than conventional algorithms.

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: Presented is an apparatus and system for an artificial turf system. The artificial turf system includes a backing layer having a plurality of fibers extending therefrom. The artificial turf system further includes a plurality of impact sensors located at least partially on, in, and/or beneath the backing layer, wherein the plurality of impact sensors are operable to detect a force or pressure applied to the backing layer.

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 of obtaining characteristic measurements K and ? of an electrical system comprising at least two terminals, the method comprising: injecting a reference voltage at a first of the at least two terminals; measuring a voltage at a second of the at least two terminals to provide a measured voltage, the second terminal being connected to earth; measuring a ratio of amplitude between the injected reference voltage and the measured voltage to provide a K value; and measuring a phase angle difference between the injected reference voltage and the measured voltage to provide an angle value ?.

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: Some implementations of the present disclosure provide a computer-implemented method that includes: accessing measurement data obtained from a drilling operation, wherein the measurement data show multiple measurements during the drilling operation when a drilling bit is located at a range of depths; based on the measurement data, using machine learning analytics to construct a model that predicts a formation top when the drilling bit reaches a depth; determining a correlation between the measurement data and the predicted formation top; and in response to determining the correlation exceeds a pre-determined threshold, applying the model to predict a formation top when the drilling bit reaches the depth.

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 system and method for monitoring the blood pressure of a patient that allows for a device sensor to be recalibrated according to atmospheric pressure without removing the device sensor from inside the patient. This permits quickly monitoring the blood pressure of a patient if a re-zero is needed. The invention has a blood pressure monitor (BPM) that obtains an atmospheric pressure observation. The atmospheric pressure observation is adjusted and stored to memory as a zero value. The zero value is retrieved to recalibrate the system and method if a device sensor has been disconnected from and reconnected to the same or a different BPM, the patient has been moved such that the surroundings have been altered to make it necessary to recalibrate according to atmospheric pressure, and/or the device sensor has been connected to a different patient care monitor.

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: Medical devices and related systems and methods are provided. A method of calibrating an instance of a sensing element involves obtaining fabrication process measurement data from a substrate having the instance of the sensing element fabricated thereon, obtaining a calibration model associated with the sensing element, determining calibration data associated with the instance of the sensing element for converting the electrical signals into a calibrated measurement parameter based on the fabrication process measurement data using the calibration model, and storing the calibration data in a data storage element associated with the instance of the sensing element.

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: A method for determining a solution to a constrained optimization problem includes programming a weights matrix of a Hopfield network with a first encoded matrix representation of an initial constrained optimization problem. The method also includes employing the Hopfield network to determine a solution to the initial constrained optimization problem. Additionally, the method includes encoding a plurality of constrained optimization problems associated with a target constrained optimization problem into a plurality of encoded matrix representations each of which are a combination of the first and the second encoded matrix representations. The plurality of encoded matrix representations increases in convergence to the second encoded matrix representation of the target constrained optimization problem sequentially. The method further includes re-programming the weights matrix of the Hopfield network in an iterative manner with the plurality of encoded matrix representations.

Abstract: Provided is a fitting apparatus configured to acquire measurement data obtained by measuring a swing action of a test club by a golfer with a measurement device, calculate an amount of change in an attitude of a face surface of a head included in the test club in a period before impact at a time of the swing action, based on the measurement data, and select a balance of a golf club suitable for the golfer, according to the amount of change.

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: A system for monitoring installed healthcare assets includes an asset database containing installed asset data and recovered asset data and a storage system storing a trained regression model and a clustering model. A processing system is configured to process the installed asset data using the trained regression model to predict a recovery time for each installed healthcare asset and process the installed asset data and the recovered asset data using the clustering model to identify a set of target assets, wherein the set of target assets is subset of the installed healthcare assets. The processing system is further configured to identify at least one recovery target asset based on the set of target assets and the predicted recovery time for each installed healthcare asset in the set of target assets.