Abstract: Frequency registration deviations occurring during a scan of a frequency or wavelength range by a spectroscopic analysis system can be corrected using passive and/or active approaches. A passive approach can include determining and applying mathematical conversions to a recorded field spectrum. An active approach can include modifying one or more operating parameters of the spectroscopic analysis system to reduce frequency registration deviation.

Abstract: In an example, a method for calibrating fiducials relative to a workpiece is disclosed and involves receiving, from one or more cameras, images of the fiducials, each image acquired from a different camera pose, where the fiducials comprise (i) one or more first fiducials fixed at one or more unknown locations on the workpiece and (ii) calibration fiducials disposed at known locations on the workpiece; estimating poses of the fiducials, where estimating the poses of the fiducials comprises, in each image, estimating, for each fiducial visible in the image, a pose of the fiducial relative to the camera(s); formulating a pose graph comprising nodes for the images and for the fiducials, the poses estimated for the fiducials, the calibration fiducials as landmarks with known poses, and constraints between the calibration fiducials and the images; and solving the pose graph to determine poses of the first fiducial(s) that satisfy the constraints.

Abstract: The present disclosure provides a target for aerial survey transformable to hand-fan shape. In this instance, the target includes a central axis, a first identification marker with one end connected to the central axis and having a first length outwards, and a second identification marker with one end connected to the central axis and having a second length outwards, the second identification marker disposed on the first identification marker, wherein the second length is shorter than the first length, the first identification marker includes a plurality of first unit areas having a predetermined angle therebetween with respect to the central axis, and the plurality of first unit areas has an overlap between adjacent first unit areas.

Abstract: The embodiments of the present disclosure provide a method and an Internet of Things (IoT) system for gas purification management in a storage and distribution station for smart gas. The method is implemented based on the IoT system for gas purification management in the storage and distribution station for smart gas. The IoT system includes a smart gas user platform, a smart gas service platform, a smart gas device management platform, a smart gas sensor network platform, and a smart gas object platform. The method is executed by the smart gas device management platform. The method includes: obtaining a gas quality condition parameter of a raw gas, and the gas quality condition parameter being obtained based on the storage and distribution station; determining, based on the gas quality condition parameter, an operation parameter in a purification process, the operation parameter being used for a purification operation of the raw gas.

Abstract: Embodiments include apparatuses, methods, and systems for a photonic device including a first optical component, a second optical component, and a third component, where the first optical component or the second optical component is a redundant component of the photonic device. When the first optical component is enabled, the first optical component is to provide a first input to the third component, or to receive a second input from the third component. Similarly, when the second optical component is enabled, the second optical component is to provide the first input to the third component, or to receive the second input from the third component. The first optical component and the second optical component are arranged to perform a same function. Only one of the first optical component or the second optical component is enabled at a time. Other embodiments may also be described and claimed.

Abstract: A method for determining a State of Health (SoH) of a power source of a portable device involves extracting a start voltage value of an examined power source; activating one or more hardware components of the portable device by a software, to increase the current consumption of the device, identifying a voltage drop rate of the examined power source and comparing a calculated voltage drop rate to pre-calculated threshold values stored on a database of a main server. A system for executing the method is also disclosed.

Abstract: From each of a plurality of cameras, a visual input of a location is received over a network. For each visual input from the plurality of cameras, a coupling correction is performed between a shaking of the camera with respect to the visual input by subtracting velocity vectors of the plurality of cameras from velocity vectors of pixels defining the visual input to provide a processed input. It is determined whether a shaking identified in the processed input is above a predetermined threshold based on the processed input, thereby detecting one or more anomalies. From the one or more anomalies, at least one of a location, magnitude, or depth of an earthquake are inferred based on the shaking identified in the processed input of each of the plurality of cameras.

Abstract: A method including: acquiring present output current values of photovoltaic strings included in a photovoltaic array that, wherein includes at least two photovoltaic strings in parallel; determining a target abnormality score predicting model based on the present output current values. Determining a present abnormality score corresponding to the photovoltaic array by inputting the present output current values into the target abnormality score predicting model; and determining the operating state of the photovoltaic array by comparing the present abnormality score with a target abnormality score. The present abnormality score is output by inputting the present output current values acquired in real-time into the abnormality score predicting model, so as to determine the operating state of the photovoltaic array.

Abstract: A three-dimensional measurement method comprises: converting a total number of levels of sawtooth fringes into a Gray code and acquiring a sawtooth slope coefficient; fusing the coefficient into a sawtooth fringe image to generate a target sawtooth fringe pattern; projecting each target sawtooth fringe pattern to a surface of a to-be-measured object through a projector, and collecting a deformed target sawtooth fringe pattern on the surface through a camera; solving a Gray code of each sawtooth fringe collection pattern at each pixel point according to a differential property of adjacent pixels in each sawtooth fringe collection pattern and solving a fringe level and a wrapped phase at each pixel point; calculating an absolute phase at each pixel point according to the fringe level and the wrapped phase at each pixel point, and reconstructing a three-dimensional point cloud through triangulation ranging to obtain a three-dimensional model of the to-be-measured object.

Abstract: One or more devices in a data analysis computing system may be configured to receive and analyze movement data, and determine driving trips associated driving data based on the received movement data. Movement data may be collected by one or more mobile devices, such as smartphones, tablet computers, and the like. One or more driving trips may be identified based on the movement data collected by the mobile devices, including acceleration data, speed data, and rotation rate data. After identifying a driving trip, the previously collected movement data and/or additional driving data may be analyzed to determine additional driving trip data, such as the driver, vehicle, and/or additional driving factors.

Abstract: The present disclosure is directed to systems and methods for tree preservation planning of a selected tree within an existing landscape including hardscape elements. The critical root loss percentage can be determined based upon the diameter size of each tree being impacted. In addition, the disclosure provides a system for determining survivability of an impacted tree that takes into account a number of factors to ensure a survivability percentage of at least 70%.

Abstract: Pipe]parameter determinations from electromagnetic logs can be improved, in accordance with various embodiments, by weighting signals with frequencies below a threshold associated with resolution degradation lower than signals with frequencies above the threshold. The threshold frequency may be determined based on a spatial resolution associated with the logging tool and a logging speed. Further embodiments are described.

Abstract: A supply tube assembly for measuring a liquid agricultural product application rate. An upstream portion of a supply tube has an upstream portion outlet end. A downstream portion has a downstream portion inlet end. The sensor body assembly includes a sensor body, a first sensing plate, and a second sensing plate. The sensor body has a sensor inlet end positioned to receive an inlet flow of the liquid agricultural product from the upstream portion and a sensor outlet end positioned to receive an outlet flow of the liquid agricultural product. The sensor body is an enclosure having a cross sectional area larger than the cross sectional area of the upstream portion of the supply tube and the downstream portion of the supply tube. Electronic components are configured to measure the liquid agricultural product application rate between the first sensing plate and the second sensing plate.

Abstract: A method, an apparatus and an electronic device for real-time object detection are provided according to the present disclosure. In the method, target point cloud data in a range of a preset angle is acquired, where the target point cloud data includes one or more data points, and the preset angle is less than the round angle. A one-dimensional LiDAR point feature of each of the data points in the target point cloud data is determined. A previous frame of LiDAR feature vector is updated based on the one-dimensional LiDAR point feature of each of the data points in the target point cloud data to generate a current frame of LiDAR feature vector. Object information is determined in a real-time manner based on the current frame of LiDAR feature vector.

Abstract: Systems and methods for calculating mobility metrics associated to a plurality of wearable sensors in various arrangements comprising a plurality of communicatively-connected sensors comprising inertial measurement units (IMU) attached to connected bodies of a hinge or ball joint in communication with a computing device. Systems and methods for quaternion calculations comprising a first sensor's quaternion output as estimate into another sensor's quaternion calculation to improve the other sensor's quaternion estimate and vice versa. Systems and methods for data synchronization of a plurality of sensors involving building an external reference time vector and interpolating the sensor's data based on the reference time vector. Systems and methods for calculating a sensor's orientation and position based on the inertial measurements captured by the wearable sensors during hinge or ball joint movements to, at least, calculate a joint angle.

Abstract: A measurement method includes: a step of acquiring first observation point information including a time point when each part of an m-th moving object passes a first observation point and a physical quantity which is a response to an action; a step of acquiring second observation point information including a time point when the each part passes a second observation point and a physical quantity which is a response to an action; a step of calculating a deflection waveform of a structure generated by the each part; a step of adding the deflection waveforms to calculate an m-th moving object deflection waveform; a step of calculating a displacement waveform at the third observation point; and a step of calculating first to M-th amplitude coefficients by assuming that a waveform obtained by multiplying an m-th amplitude coefficient by the m-th moving object deflection waveform is an m-th amplitude adjusted deflection waveform, and that a sum of first to M-th amplitude adjusted deflection waveforms is approximated

Abstract: Disclosed is a fault signal recovery system including a data processor configured to generate a signal subset U* by removing, from a signal set U for a plurality of tags, some tags including a fault signal, and a first learning signal subset X* by removing tags disposed at positions corresponding to the some tags from a learning signal set X containing only tags of normal signals, a modeling unit configured to generate feature information F extractable from the first learning signal subset X* and recovery information P on a plurality of recovery models usable for restoring the fault signal, and a recovery unit configured to estimate and recover normal signals for the some tags based on the signal subset U*, the first learning signal subset X*, the feature information F, the recovery information P on the plurality of recovery models, and similarity Z.

Abstract: Point cloud data that is missed due to an optical reflection object in measuring point cloud data using a laser scanner is used. A reflection object position calculating device includes a point cloud data receiving unit, a three-dimensional point cloud model generating unit, a missing data part searching unit, a missing data part determining unit, and a reflection object position calculator. The point cloud data receiving unit receives point cloud data. The three-dimensional point cloud model generating unit generates a three-dimensional point cloud model from the received point cloud data. The missing data part searching unit searches for a missing data part of the generated three-dimensional point cloud model. The missing data part determining unit determines whether the found missing data part has a predetermined specific shape. The reflection object position calculator calculates three-dimensional coordinates of the missing data part that is determined as having the specific shape.

Abstract: A system and method are provided for automatically correlating geologic tops. The system receives well logs from different well bores and each of the picks is added to a priority queue ordered by each pick's quality measure. User selected picks are assigned the highest level of quality measure. The system performs correlation by selecting a window of well log data about a pick selected from the top of the priority queue and then finding the best optimal match with a corresponding window in a neighboring wellbore.

Abstract: Systems and methods are provided for identifying relationships between defects. The system may obtain defect items and associated information. Defect items may be compared to one another based on their attributes to determine how related they are. According to the comparisons, defect items may be grouped together into issue items for further analysis by a user. The system may further update a defect comparison model according to user interaction with defect items.