Abstract: A method for quantifying the balance of an individual includes segmenting, as a function of time, a statokinesigram(s) of an individual so as to generate several statokinesigram portions; extracting, from the statokinesigram portions, values of at least one trajectory parameter; determining the value of at least two quantifiers, from the values of trajectory parameters extracted in the extraction step, for each of the statokinesigram portions generated in the segmentation step; and determining said value representative of the balance of the individual from the values of the quantifiers of each of the statokinesigram portions. The method may be implemented by a processor and memory.

Abstract: A detecting device obtains a first body motion signal from a body motion sensor while a person walks with a predetermined stride, the body motion sensor being attached to a body of the person and configured to detect a body motion of the person, obtains a reference-walk-waveform from a memory, the reference-walk-waveform being generated from a second body motion signal obtained from the body motion sensor while the person walks with the predetermined stride with the body motion sensor attached to an initially attached position, compares the obtained reference-walk-waveform with a waveform of the obtained first body motion signal to determine whether an attached position of the body motion sensor is shifted from the initially attached position, and outputs a determination result.

Abstract: A computerized apparatus for presenting vibration data that is read under different conditions as a single trend line on a chart. A sensor measures vibration and produces vibration data. A memory stores the vibration data, an indicator of the condition under which the vibration data was produced, and a type associated with the vibration data. A processor reads the vibration data, the condition, and the type from the memory, and selectively plots the vibration data on the trend line when the type of the vibration data matches a given value, even though the condition might be different from data point to data point on the trend line. The processor selectively creates a flag indicating a condition change, and an interface presents a plot of the trend line, and the flag when a condition change occurs between data points.

Abstract: A system and method for unsupervised root cause analysis of machine failures. The method includes analyzing, via at least unsupervised machine learning, a plurality of sensory inputs that are proximate to a machine failure, wherein the output of the unsupervised machine learning includes at least one anomaly; identifying, based on the output at least one anomaly, at least one pattern; generating, based on the at least one pattern and the proximate sensory inputs, an attribution dataset, the attribution dataset including a plurality of the proximate sensory inputs leading to the machine failure; and generating, based on the attribution dataset, at least one analytic, wherein the at least one analytic includes at least one root cause anomaly representing a root cause of the machine failure.

Abstract: The embodiments disclosed herein relate to an apparatus for monitoring a fluid level in a returns tank in the oil and gas industry, the apparatus having a sensor configured to monitor the fluid level of the returns tank, wherein the sensor is located within the tank; and a communication device configured to transmit the fluid level from the sensor to a programmable logic controller.

Abstract: The present invention describes an electromagnetically positioning system, which can measure a position and orientation of a remote object in an isolated targeted examination area with time. Specifically, the remote object is a remote miniaturized examination device. During the location process, both the electromagnetically positioning system and the remote miniaturized examination device can have expected or unexpected, controlled and can-not-be-controlled movement. By implementing the electromagnetically positioning system, disclosed herein, position and orientation information of the remote miniaturized examination device can be linked with time, any information collected by the remote miniaturized examination device, for example, the photo images collected, can be associated kinetically with time and positioning information of the examination device, when the remote miniaturized examination device travels inside an isolated target examination area.

Abstract: Disclosed is an apparatus and method for managing a battery. The battery management apparatus according to an embodiment of the present disclosure includes a memory unit and a control unit. The memory unit is configured to store a plurality of discharge curve models including a first discharge curve model associated with a first state of charge value, and in this instance, the first discharge curve model defines a change in voltage of a battery having the first state of charge value over time under a first discharge condition. The control unit is connected to the memory unit, allowing communication with the memory unit, and is configured to call the first discharge curve model stored in the memory unit.

Abstract: A subsoil region is represented using a grid having columns of cells arranged in an array of horizontal positions. The cells of a column are delineated by geological layering of the subsoil region. The method, used for estimating elastic parameters in the subsoil region, comprises obtaining seismic traces and performing seismic inversion for the columns of cells. The seismic inversion for a column comprises selecting a set of elastic parameter values that minimizes a cost function regardless of statistical distribution of the elastic parameter values. The set of elastic parameter values is selected among a plurality of candidate sets of elastic parameter values each having values of elastic parameters for the cells of the column.

Abstract: A system and method for integrated data registration includes at least one host system and a first sensor where the first sensor provides a first input data. The system and method may further include a second sensor where the second sensor provides a second input data, a first navigation data source where the first navigation data source provides a third input data and a second navigation data source where the second navigation data source provides a fourth input data. The system and method may further include at least one non-transitory computer readable storage medium, in operative communication with the host system, first sensor, the second sensor, the first navigation source and the second navigation source, having at least one set of instructions encoded thereon that, when executed by at least one processor, performs operations to perform integrated data registration.

Abstract: A magnetic flowmeter includes at least one coil configured to generate a magnetic field within a process fluid flow. A pair of electrodes is configured to detect an electromotive force within the flowing process fluid in response to the magnetic field. Measurement circuitry is coupled to the pair of electrodes and is configured to provide an indication of the detected electromotive force. A processor is coupled to the measurement circuitry and configured to receive the indication of the detected electromotive force and determine a flow-related output based on the detected electromotive force. A diagnostics component is configured to analyze a number of successive parameters of the magnetic flowmeter in order to provide an indication of a detected entrained fluid.

Abstract: A coordinator device comprising communication circuitry configured to connect the coordinator device to a first remote device and to receive remote device description data for the first remote device from the first remote device. The coordinator device comprises processing circuitry configured to enable execution of firmware for the first remote device outside of the first remote device.

Abstract: In a method for acquiring data of azimuthal acoustic LWD, when an acoustic LWD instrument rotates with a drilling tool at a certain depth, data is acquired by adopting an azimuthal equal-interval mode: a well circumference is divided into m sectors by azimuthal intervals ??, when a toolface angle of the acoustic LWD instrument is located in the kth sector, an acoustic transmitting source is controlled to transmit an acoustic signal, and an acoustic receiver measures the acoustic signal, digitizes it and then stores it as data in the kth sector; and the data is acquired for each sector in turn, and after the data is acquired in each sector for N times, the data acquisition at the current depth is completed. Meanwhile, as the drilling tool rotates and drills, the instrument acquires acoustic data at different depths and processes it to achieve azimuthal acoustic imaging.

Abstract: A technique facilitates cement bonding evaluation including collecting waveform data and pre-processing the waveform data. The technique also may utilize processes which provide a time window position for the pre-processed waveform data and calculation of waveform amplitude and/or attenuation. Additionally, the technique may include deriving an amplitude-based bond index and/or attenuation-based bond index through the use of a model or other suitable waveform data processing technique which enables preparation of quality control plots with respect to the processing results.

Abstract: A monitoring system that is configured to monitor a property is disclosed. In one aspect, the monitoring system includes a sensor that is located at the property and that is configured to generate sensor data. The monitoring system further includes a voltage sensor that is configured to generate voltage data by measuring voltage at an electrical outlet located at the property. The monitoring system further includes a monitor control unit that is configured to receive the sensor data; receive the voltage data; determine an action of an electrical device that is located in the property or that is located at a neighboring property in a vicinity of the property; determine whether the electrical device is located at the property or at the neighboring property in the vicinity of the property; and perform a monitoring system action.

Abstract: A method for determining a physical and/or chemical, temperature dependent, process variable of process automation technology utilizing a resistance thermometer (RPt1000), wherein the resistance thermometer (RPt1000) is installed in an electrical circuit, comprising the steps of: measuring a first voltage (U1) across at least a first precision resistor (R1); measuring a second voltage (U2) across at least a second precision resistor (R2); measuring a third voltage (U3) across at least a third precision resistor (R3), wherein cyclically or continuously a constant electrical current (I) is sent through the at least first precision resistor (R1), the at least second precision resistor (R2) or the at least third precision resistor (R3); determining temperature coefficients (a, b, c) characteristic for the electrical circuit by means of the first voltage (U1), the second voltage (U2) and the third voltage (U3); sending the constant electrical current (I) through the resistance thermometer (RPt1000) and measuring a

Abstract: Embodiments of the present invention relate to water leakage detection. Data obtained by a smart electricity meter during a predefined time period is collected, where the smart electricity meter is associated with a water-consuming unit. Usages of certain electric appliances in the water-consuming unit during the predefined time period are determined based on the collected data. The electricity consumption of those appliances is correlated to water consumption. The legitimate water consumption of the water-consuming unit during the predefined time period is then determined based on the usages of the electric appliances.

Abstract: A pump control system receives inputs from a low level fluid level sensor, a high level fluid level sensor, and/or a temperature sensor. Based on inputs from the sensors, and in response to sensed trouble conditions, duplex pumping or pump specific simplex operation is restricted based on past and present pump current draws. Furthermore, using the temperature sensor and a temperature sensor output device, the temperature of the sump environment can be monitored at will from a remote location.

Abstract: An example system for a performance gains predictor includes a counter engine to determine a number of events during an application session of a computing system utilizing a first processor, a metrics engine to calculate a number of metrics for the first processor based on the number of events, a factor engine to determine a number of factors of the first processor that can affect the number of metrics based on an evaluation of the computing system, and a performance engine to predict a performance change of the computing system utilizing a second processor based on the number of factors.

Abstract: A per-chip equivalent oxide thickness (EOT) circuit sensor resides in an integrated circuit. The per-chip EOT circuit sensor determines electrical characteristics of the integrated circuit. The measured electrical characteristics include leakage current. The determined electrical characteristics are used to determine physical attributes of the integrated circuit. The physical attributes, including EOT, are used in a reliability model to predict per-chip failure rate.

Abstract: Electric meters are connected by an electricity supply network to a data concentrator with which the meters communicate by powerline. A method for reading information from meters is based on a classification of the meters in a plurality of classes. A first class, read first, groups together meters that haven't been read in a last execution of the method. The other classes group together the meters according to a rate of response to requests for information coming from the concentrator. The classes grouping together the meters that have the lowest response rates are read last. In each class, each meter is classified according to information representing a topology of the network having an influence on the failure risk of the transmissions of information by the meter. The concentrator accounts for the classification of the meters when the meters in the network are read to reduce occurrences of periods of contention.