Abstract: A flow measurement device includes a flow rate measurement unit, an arithmetic unit that calculates a difference value between a the first flow rate value and a second flow rate value, and a difference value conversion unit that calculates a flow rate ratio, based on the difference value. An appliance characteristic extraction unit extracts at least one appliance characteristic quantity indicating a characteristic of a flow rate change and a value calculated from a first flow rate value and a second flow rate value, as an appliance characteristic quantity. Furthermore, an appliance inherent characteristic information holding unit holds appliance inherent characteristic quantities indicating a characteristic flow rate state of a specific gas appliance, and an appliance discrimination unit discriminates a gas appliance, based on a comparison between the appliance characteristic quantity and the appliance inherent characteristic quantity.

Abstract: A substation asset management method can include the steps of: determining whether to compensate a reliability model by element of the substation by comparing reliability of a reference reliability model by substation type with reliability depending on health index by element thereof generated based on state data and real-time monitoring data by element of the substation; compensating the reference reliability model by substation type and generating a unique reliability model by element of the substation as a result of the determination; evaluating system reliability and economic feasibility by maintenance scenario based on a reference system reliability model for each candidate element subject to maintenance among the elements of the substation; and drawing a maintenance scenario of the elements of the substation by using a fitness function of maintaining the substation based on the result drawn through the evaluation of the system reliability and the economic feasibility.

Abstract: A method includes calculating, based on a first coordinate transformation matrix and a measured value of a gyroscope that corresponds to the ith sampling moment, a second coordinate transformation matrix corresponding to the ith sampling moment, where the first coordinate transformation matrix is a constant matrix, the first coordinate transformation matrix is a coordinate transformation matrix between a sensor coordinate system and a foot coordinate system, the second coordinate transformation matrix is a coordinate transformation matrix between the foot coordinate system and a ground coordinate system, and i is an integer greater than 0, and calculating, based on the first coordinate transformation matrix and the second coordinate transformation matrix corresponding to the ith sampling moment, an attitude matrix corresponding to the ith sampling moment, where the attitude matrix is a coordinate transformation matrix between the sensor coordinate system and the ground coordinate system.

Abstract: A method for storing emission rights for point and nonpoint source pollution based on internet of things is provided. In the method, agricultural nonpoint source pollution is monitored based on internet of things; monitoring data of the agricultural nonpoint source pollution is collected and processed; data on migration of the agricultural nonpoint source pollution is analyzed, and an emission reduction amount of storable nonpoint source pollution of the agricultural nonpoint source pollution is calculated; and the emission reduction amount of storable nonpoint source pollution is added to a regional emission rights storage system as reserve emission rights. In this way, the emission reduction amount of nonpoint source pollution can be allocated to industrial point source pollution, and it is possible to combine agricultural nonpoint source pollution emission reductions and industrial point source pollution emissions, to achieve free distribution therebetween.

Abstract: Systems and methods for modeling, reporting, controlling and optimizing HVAC systems are provided. A server receives HVAC system data, processes the data and sends the processed data to a client device. The client device receives the processed data and then makes certain choices of analog and digital rules to apply to the data to reach conclusions about certain mechanical states of the system and flow efficiencies. The rule choices are sent to the server. The server analyzes the HVAC system based on the rules and generates a report. The report can be used to optimize the mechanical components of the HVAC system or control them directly in a feedback loop.

Abstract: A linear asymmetric method for examining branch-outage-type steady-state security of AC power networks is provided. Two linear expressions of bus injection active and reactive powers in terms of translation voltages and voltage angles of all buses are established. Then a linear asymmetric matrix-equation model for the steady state of the network is built considering the reference bus number. Manipulating this model produces the matrix expression of branch-not-outage-type translation voltages and voltage angles of non-reference buses and the bus impedance matrix with the reference bus discarded. The branch-outage-type translation-voltage increments and voltage-angle increments of non-reference buses are then obtained by the bus impedance matrix and the outage branch using the calculation formula of ordinary inverse of a modified matrix. The examination of the steady-state security of the network is achieved using these increments.

Abstract: A filtering device (20) includes an acquirer (21) and a filtering unit (22). The acquirer (21) acquires an input value that is repeatedly input. The filtering unit (22) obtains an output value by filtering for reduction of noise included in the input value. When a difference between the current input value and the past output value exceeds a first threshold, the filtering unit (22) obtains a new output value by weighting the current input value with a weight greater than a weight for obtaining the past output value.

Abstract: Techniques for calculating and visually presenting multiple acoustic modes that have different formation slowness are disclosed herein. The techniques include methods for receiving time-domain waveforms from adjacent formations in a borehole, processing each of the time-domain waveforms to generate frequency-domain spectrums, selecting frequency and slowness values, and predicting travel time of a mode associated with the slowness value. In some aspects, the method further includes steps for calculating a semblance difference of the frequency-domain spectrums based on the frequency value, the slowness value and the predicted travel time. Systems and computer-readable media are also provided.

Abstract: A method for evaluating or improving performance of a drilling operation includes, during the drilling operation, receiving a performance parameter of a component of a drilling system measured by a sensor of the drilling system. The measured performance parameter is compared to a target performance parameter of the component of the drilling system. The target performance parameter includes a performance parameter of a prior drilling operation measured under substantially similar drilling conditions and measured at at least one of substantially a same drilling depth, substantially a same depth percent, and substantially a same drilling time. A performance attribute value is determined by calculating a normalized, weighted average difference between the measured performance parameter and the target performance parameter.

Abstract: A method and apparatus for predicting a formation parameter at a drill bit drilling a formation is disclosed. A vibration measurement is obtained at each of a plurality of depths in the borehole. A formation parameter is obtained proximate each of the plurality of depths in the borehole. A relationship is determined between the obtained vibration measurements and the measured formation parameters at the plurality of depths. A vibration measurement at a new drill bit location is obtained and the formation parameter at the new drill bit location is predicted from the vibration measurement and the determined relation. Formation type can be determined at the new drill bit location from the new vibration measurement and the determined relationship.

Abstract: Systems, tools, and methods for optimizing fracturing schedules located along a horizontal wellbore include obtaining drilling cuttings during a drilling operation representative of a predetermined interval of the horizontal wellbore, performing at least one analytical process on the obtained drilling cuttings to determine at least one geomechanical property of the interval of the obtained drilling cuttings for the interval, generating a formation analysis estimation for the interval from the, wherein the formation analysis estimation comprises at least one of (i) a brittleness of the formation at the interval or (ii) a minimum horizontal stress of the formation at the interval, and based on the formation analysis estimation, at least one of (i) configuring a super-stage for deployment to the interval to perform a fracturing operation or (ii) designing a fracturing schedule to be performed to frac the formation at the interval.

Abstract: There is provided a first positioning electronic device for use in a system of positioning electronic devices. The first positioning electronic device includes a first projector for projecting a structured light pattern on a reflective surface. In addition, the first positioning electronic device includes an image sensor for detecting all or part of one or more reflected structured light patterns projected using a second projector of a second positioning electronic device. Also, the first positioning electronic device include a communications transceiver for transmitting and receiving communication signals to the second positioning electronic device. The first positioning electronic device also includes a control logic processor for determining a relative position of the positioning electronic device relative to the second positioning electronic devices using the detected reflected structured light patterns.

Abstract: The present invention introduced a method for detecting pipe bursts in water distribution systems based on pressure disturbance extraction, including following steps: (1) collecting and pre-processing monitored pressure data, and establishing a matrix of monitored pressures; (2) analyzing time-domain and frequency-domain features of the matrix of monitored pressures by Fourier transform, extracting disturbances, and generating pressure disturbances matrices; (3) identifying outliers in the pressure disturbances matrices by isolation forest algorithm; and (4) further identifying detected outliers by calculating and qualitative index A and quantitative index B and outputting a result of pipe burst detection. Compared with previous methods, the pipe burst detection method introduced in the present invention is accurate and reliable, and is more applicable to large-scale complex water distribution systems.

Abstract: A method determines the time required for a timed up and go test and for verifying an ascertained result. A distance measuring device is provided which continuously measures the distance from a subject located in front of a chair to the backrest of the chair and which forwards the distance to a control unit. The chair is positioned in particular at a specified distance to a wall, an obstacle, or a marking. The measured distance values recorded by the distance measuring device are continuously recorded. The subject is instructed to stand up from the chair, walk forwards, in particular towards the wall, the obstacle, or the marking, and then turn around, in particular in front of the wall, the obstacle, or in the region of the marking, and sit back down on the chair. The subject carries out these instructions to the best of their ability.

Abstract: A portion of an anisotropy formation through which a wellbore is formed can be identified. An estimate of an elastic anisotropy parameter for the portion can be adjusted based on a first quality control analysis using the elastic anisotropy parameter for the portion. The first signal representing the elastic anisotropy parameter for the portion. The estimate of the elastic anisotropy parameter for the portion can be adjusted based on a second quality control analysis using estimates for the elastic anisotropy parameters for two or more portions of the anisotropy formation.

Abstract: A pressure disturbance rejection valve assembly is provided. The valve assembly includes a valve, a flow rate sensor, and an actuator. The actuator includes a motor, a drive device configured to be driven by the motor and coupled to the valve for driving the valve within a range of positions, and a position sensor configured to measure a rotational position of the drive device. The actuator further includes a communications mechanism configured to receive a flow rate setpoint and a processing circuit. The processing circuit is configured to determine an actuator position setpoint using a feedback control mechanism based on the flow rate setpoint and the flow rate measurement, operate the motor to drive the drive device to the actuator position setpoint, detect a fault condition based at least in part on the rotational position measurement or the flow rate measurement, and perform a fault mitigation action in response to detection of the fault condition.

Abstract: Cyber-physical systems depend on sensors to make automated decisions. Resonant acoustic injection attacks are already known to cause malfunctions by disabling MEMS-based gyroscopes. However, an open question remains on how to move beyond denial of service attacks to achieve full adversarial control of sensor outputs. This work investigates how analog acoustic injection attacks can damage the digital integrity of a popular type of sensor: the capacitive MEMS accelerometer. Spoofing such sensors with intentional acoustic interference enables an out-of-spec pathway for attackers to deliver chosen digital values to microprocessors and embedded systems that blindly trust the unvalidated integrity of sensor outputs. Two software-based solutions are presented for mitigating acoustic interference with output of a MEMS accelerometer and other types of motion sensors.

Abstract: Techniques for implementing and/or operating a pipeline system including a pipe segment, in which the pipe segment includes tubing that defines a pipe bore and fluid conduits in a tubing annulus, a pipe fitting secured to the pipe segment, in which the pipe fitting includes a vent port connected to the fluid conduits in the tubing annulus, and a testing apparatus. The testing apparatus includes a fluid valve connected to the vent port, an upstream sensor fluidly connected between the vent port and the fluid valve, in which the upstream sensor determines a fluid parameter associated with fluid within the fluid conduits in the tubing annulus, and a downstream sensor connected between the fluid valve and external environmental conditions, in which the downstream sensor determines another fluid parameter associated with fluid released from the fluid conduits in the tubing annulus while the fluid valve is in an opened state.

Abstract: Perception sensors of a vehicle can be used for various operating functions of the vehicle. A computing device may receive sensor data from the perception sensors, and may calibrate the perception sensors using the sensor data, to enable effective operation of the vehicle. To calibrate the sensors, the computing device may project the sensor data into a voxel space, and determine a voxel score including an occupancy score and a residual value for each voxel. The computing device may then adjust an estimated position and/or orientation of the sensors, and associated sensor data, from at least one perception sensor to minimize the voxel score. The computing device may calibrate the sensor using the adjustments corresponding to the minimized voxel score. Additionally, the computing device may be configured to calculate an error in a position associated with the vehicle by calibrating data corresponding to a same point captured at different times.

Abstract: A system and method for selecting plants based on climate data and plant data. The system receives climate data and plant data and selects plants for a geographical division based on the climate data and plant data. The system generates durable plant tags with for the plants that have an icon that identifies the lighting level and watering level of the plants using a color and a number.