Abstract: A method of remotely configuring one or more building system components at a building site uses a cloud-based server remote from the building site. The cloud-based server receives information from an intelligent gateway at the building site that identifies each of one or more building system components at the building site. The cloud-based server is used to create a site configuration that is based at least in part on the identified information for each of the one or more building system components. The site configuration is then downloaded from the cloud-based server to the intelligent gateway such that the intelligent gateway is able to pass configuration information to one or more local controllers that control operation of the one or more building system components.

Abstract: A system and method for adjusting estimated number of customers affected by an electrical power distribution network incident. Incident reports indicating a number of affected customers and an incident definition for incidents occurring over an accumulation time are accumulated, where each incident report. For each incident report, a signature is determined based on characterizing respective incidents and includes respective characteristics of the incidents associated with each incident report. A subject incident report is received subsequent to the accumulation time. A signature is determined for the subject incident report. Similar incident reports that have signatures similar to the subject incident are identified. A composite estimated number of affected customers for the subject incident is determined based on the associated numbers of affected customers for each similar incident report.

Abstract: In an example embodiment, a process may select high density points from a point cloud. The process may create one or more clusters from the high density points and identify a circular cluster from the created clusters. The process may identify which points in the circular cluster are inner edge points and determine a center of an ellipse that fits the inner edge points. The process may define a search space utilizing the center of the ellipse. The process may determine the estimated x, y, and z coordinates for the position of the scanner in the search space utilizing a non-linear least square solver with different combinations of a relationship that is true for any pair of points of the cluster. An application may utilize the determined position with an object/file format (e.g., LSA format) to generate a high resolution 3D mesh of a scene.

Abstract: An assessment system includes a storage device and a processing circuit. The processing circuit is coupled to the storage device and configured to execute the instructions stored in the storage device. The storage device is configured for storing instructions of extracting at least one feature parameter corresponding to at least one defect detected on an object respectively; determining at least one feature evaluation according to the at least one feature parameter respectively; weighting the at least one feature evaluation to calculate at least one weighted feature evaluation respectively; summing the at least one weighted feature evaluation to calculate at least one total score corresponding to at least one lesson-learnt case; and ranking the at least one total score corresponding to the at least one lesson-learnt case to find out a suspected root cause corresponding to one of the at least one lesson-learnt case with higher priority.

Abstract: Disclosed herein is method and system for determining correctness of Lidar sensor data used for localizing autonomous vehicle. The system identifies one or more Region of Interests (ROIs) in Field of View (FOV) of Lidar sensors of autonomous vehicle along a navigation path. Each ROI includes one or more objects. Further, for each ROI, system obtains Lidar sensor data comprising one or more reflection points corresponding to the one or more objects. The system forms one or more clusters in each ROI. The system identifies a distance value between, one or more clusters projected on 2D map of environment and corresponding navigation map obstacle points, for each ROI. The system compares distance value between one or more clusters and obstacle points based on which correctness of Lidar sensor data is determined. In this manner, present disclosure provides a mechanism to detect correctness of Lidar sensor data for navigation in real-time.

Abstract: One illustrative method comprises retrieving a set of drive information associated with an operation of an electric drive in a time period from a drive control unit and one or more sensor units. The method further includes obtaining reliability information associated with the electric drive from a server. The reliability information is computed in the server, with the set of drive information and a model corresponding to a drive type of the electric drive. The reliability information includes a probability of occurrence of the abnormal condition in a specified future time period. The method further includes, providing at least one condition indication regarding the abnormal condition to one of a human machine interface and a drive controller based on the probability of occurrence of the abnormal condition.

Abstract: A method, system and computer program product for calculating power usage effectiveness (PUE) in a data center generate, based on a historical data of the data center, a template for each data center parameter of a plurality of data center parameters and uses the generated template to calculate an expected value of each data center parameter that can be subsequently used to compute and optimize the power usage effectiveness in the data center.

Abstract: The disclosure relates to a method for simulating sensor data of a continuous wave (CW) Light Detection and Ranging (lidar) sensor. The method includes generating a ray set comprising at least one ray, based on a CW signal, where each ray in the ray set has an emission starting time and an emission duration. The method further includes propagating, for each ray in the ray set, the ray through a simulated scene including at least one object; computing, for each ray in the ray set, a signal contribution of the propagated ray at a detection location in the simulated scene; generating an output signal, based on mixing the CW signal with the computed signal contributions of the rays in the ray set; and at least one of storing and outputting the output signal.

Abstract: A parameter estimation apparatus 10 is an apparatus for calculating a threshold for separating a plurality of data points into outliers and inliers and estimating a parameter fitting the inliers. The parameter estimation apparatus 10 includes: a parameter estimation unit 13 configured to estimate the parameter by using the plurality of data points as input; a threshold setting unit 14 configured to calculate the threshold based on statistical information of residuals of the data points; and a convergence determination unit 15 configured to determine whether or not convergence of the estimation of the parameter is reached based on the estimated parameter and the calculated threshold, and to cause the parameter estimation unit 13 and the threshold setting unit 14 to each execute processing again if the convergence determination unit 15 determines that convergence is not reached.

Abstract: One aspect of the present invention is a force measurement method including a first acquisition step in which, among data included in time course data indicating a movement trajectory of cargo acquired in a non-invasive manner, first data indicating a temporal change of a position of the cargo during a period in which the displacement of the cargo per unit time is substantially constant is acquired, a fluctuation value calculation step in which, based on a first probability distribution indicating a distribution of a probability that the amount of change at a predetermined position of the cargo per unit time is a predetermined amount, which is a probability distribution based on the first data, a fluctuation value proportional to a force applied to the cargo by motor proteins that transport the cargo is calculated, and a force calculation step in which the force is calculated based on the calculated fluctuation value.

Abstract: Systems and methods forecast processing capacity by monitoring historical key performance indicators (KPIs). The KPIs include measured values relating to a number of transactions that can be processed in parallel, an average number of transactions currently being processed, and an average amount of time to process each current transaction. One or more query parameters are received to query stored KPI data corresponding to the monitored historical KPIs. A forecasted processing volume level based on predicted values determined from a predictive model of the stored KPI data. The method also comprises generating an alert in response to the processing volume level being forecast to exceed a defined threshold is generated, thereby providing more reliable capacity monitoring and prediction of problems with processing applications that may otherwise go undetected until performance impacts occur.

Abstract: Disclosed are a system for identifying the position of mobile object, comprising a positioning module, a set of beacons and processor configured to determine the position of the positioning module based on the data gathered from the interaction between the positioning module and each one of the set of beacons. More specifically, the limited area positioning system utilizes signal emitted from the positioning module and the signals emitted from the each of the beacons in response to the signal from the positioning module. Using the signals transmitted from the positioning module and the beacons, at least three circles can be formed, and the limited area positioning system determines the intersecting point of those three circles as the position of the positioning module.

Abstract: A power meter includes a sampling circuit configured to initially make electrical measurements of a unit under test at a first sampling frequency. The power meter includes an adaptive circuit. The power meter includes an accumulator configured to accumulate electrical measurements of the unit under test from the sampling circuit. After a change in sampling frequency from the first sampling frequency to a second sampling frequency, the sampling circuit makes second electrical measurements at the second sampling frequency. The adaptive circuit is configured to adjust the second electrical measurements from the sampling circuit according to a factor. The factor is based on a relationship between the first sampling frequency and the second sampling frequency. The adjustment yields adjusted second electrical measurements. The accumulator is further configured to accumulate the adjusted second electrical measurements.

Abstract: The invention relates to a method for evaluating at least one data set of at least one component of an automation system, characterized by the incorporation and/or execution of the following steps: determining an interval between two anomalous events in a first data set, said first data set comprising data based on at least one first component of the automation system, and determining repeating events which are spaced according to the interval in a second data set, said second data set comprising at least one second component of the automation system.

Abstract: Techniques are provided for application tracing for inline performance analysis.

Abstract: A surveying instrument comprises a projection optical system for irradiating a distance measuring light which is a linearly-polarized light to an object to be measured, a light receiving optical system for receiving a reflected distance measuring light from the object to be measured, a polarization selecting module for selecting a polarization of the reflected distance measuring light received by the light receiving optical system and an arithmetic control module for controlling a distance measurement based on a light receiving result of the reflected distance measuring light, wherein the arithmetic control module is configured to give a material information to a distance measurement result of the object to be measured based on a change in light receiving amounts caused due to a selection of the polarization by the polarization selecting module.

Abstract: The device for detecting a leak may include: an earth voltage measuring unit measuring earth voltage; an ADC unit sampling the measured earth voltage and converting the sampled earth voltage into a digital value; an effective value calculating unit calculating an effective value of the earth voltage converted into the digital value; a Fourier transforming unit performing Fourier transform of the measured earth voltage to calculate voltage for each harmonic component; a content rate calculating unit calculating a voltage content rate of the fundamental frequency to voltage; a harmonic distortion rate calculating unit calculating a total harmonic distortion and a harmonic distortion factor based on the voltage for each harmonic component; a zero-crossing estimating unit estimating a zero-crossing count; and a suspicious earth leaking area determining unit determining that the earth voltage is generated by the leak of the AC commercial power.

Abstract: Embodiments herein describe coupling traditional fan and shaper control along with aggregated knowledge of the temperature history of a hardware device to optimally manage the temperature of the hardware device to preserve its expected life while also providing the lower power, best performing solution possible. In one embodiment, a cooling application manages the expected life by trading off performance and power versus temperature to achieve a desired (or accepted) lifetime. In one embodiment, the cooling application calculates a historical temperature value for the hardware device which is then used to determine the expected life of the hardware device.

Abstract: A method of monitoring power systems over a wireless network protocol. The method includes receiving input waveform data containing a power event, capturing a pair of windows of the waveform data proximate to the power event, determining a hash for each of the pairs of window of waveform data, comparing each determined hash of each of the pair of windows to a library of hashes of previously encountered events, and based on the comparison of each determined hash of each pair of windows, transmitting the raw waveform of at least one of the pair windows over the wireless network protocol to an event detection system.

Abstract: In one embodiment, a salon sustainability resource management system is described. The salon sustainability resource management system includes one or more backwash stations, a sustainability status unit communicatively coupled to each of the one or more backwash stations. The sustainability status unit is configured to generate a virtual display including one or more instances of a current sustainability status associated with a utilization of at least one resource. An enticement unit is configured to activate one or more appraisals associated with the resource utilization at the backwash station. An integrated verdant unit is configured to predict a wholistic sustainability status associated with the current sustainability status at the sustainability status unit associated with each backwash station.