Abstract: A system (10) for pedestrian use includes an accelerometer (110) having multiple electronic sensors; an electronic circuit (100) operable to generate a signal stream representing magnitude of overall acceleration sensed by the accelerometer (110), and to electronically correlate a sliding window (520) of the signal stream with itself to produce peaks at least some of which represent walking steps, and further operable to electronically execute a periodicity check (540) to compare different step periods for similarity, and if sufficiently similar then to update (560) a portion of the circuit substantially representing a walking-step count; and an electronic display (190) responsive to the electronic circuit (100) to display information at least in part based on the step count. Other systems, electronic circuits and processes are disclosed.

Abstract: A diagnostic method of switchgear and a device of switchgear that allow regularly grasping a state with high accuracy with a simple configuration is provided. The diagnostic method of switchgear includes: obtaining signals from an acceleration sensor mounted to a switchgear and a load current flowing through the switchgear; determining a frequency to be focused from a spectrum analysis result of the signals from the acceleration sensor in an advance preparation phase of diagnosis of the switchgear, generating learning data using at least the frequency and the load current as feature values; and regularly diagnosing the state of the switchgear from the feature values obtained during diagnosis and the learning data during the diagnosis of the switchgear.

Abstract: The application discloses a method and apparatus for determining an operational status of one or more power grid components (35) of a power grid (30). The grid components (35) have component signatures representative of the operational status of the power grid component (35). The method includes obtaining, using a monitor (20), at least one of a current waveform or a voltage waveform at a location, analyzing the obtained one of the current waveform or the voltage waveform, establishing one or more waveform data values of the waveform, accessing a database having a plurality of component signatures, and by comparison of the waveform data values with the component signatures producing one or more results representative of the operational status.

Abstract: A process for identifying an unknown compound in a sample includes matching a peak in a primary Fourier Transform Infrared spectral region of the sample spectrum with reference spectra in the same spectral region to generate an initial list of potential candidates, based, for example on goodness of fit criteria. The initial list can be reduced by retention time information and/or global peak matching techniques that analyze the sample spectrum in regions outside the primary region.

Abstract: A system and a method are disclosed for recommending a set of actions to be performed to improve a target performance metric of a client application. An action recommendation system receives the target performance metric from a user associated with the client application. The action recommendation system determines features of the client application describing characteristics and performance history of the client application. The features of the client application and the target performance metric is provided as input to a machine learning model that outputs sets of target features that are likely to result in improvement for the target performance metric. The action recommendation system ranks the sets of target features and selects one of the sets based on the ranking. The action recommendation system determines a set of recommended actions based on the selected set of target features and presents the set of recommended actions to the user.

Abstract: The present disclosure provides detecting change of variance points of a target time series based on baseline assumptions of statistical stationarity. A target time series signal is modeled as including a trend component signal and a residual component signal. A signal cost function including at least a difference penalty function and at least one regularization term is optimized for the target signal to output a trend component signal thereof. A signal cost function including at least a difference penalty function and at least one regularization term is optimized for the residual component signal to output estimated variance thereof. Both of these cost functions may be optimized by applying an augmented Lagrangian operator. A centered cumulative sum is computed based on a cumulative sum of the estimated variance. The centered cumulative sum is segmented to yield change of variance points thereof. Such methods may provide improved performance over existing methods.

Abstract: In a method for predicting deterioration of grease, the grease is applied between a semiconductor module and a cooler. The semiconductor module accommodates a semiconductor element. The method for predicting deterioration includes predicting deterioration of the grease after specified heat cycles by using: a variable G1/G2 that is acquired by dividing an initial storage modulus G1 of the grease by an initial loss modulus G2 of the grease at an expected maximum use temperature of the semiconductor element; and distortion dD of the grease at the time when the initial storage modulus G1 and the initial loss modulus G2 have the same value.

Abstract: An electric power system comprises recording devices (101-105) located at different elements of the electric power system and configured to record waveform samples of quantities related to operation of the elements of the electric power system. The electric power system comprises a central device (106) configured to receive the recorded waveform samples from the recording devices. The recording devices are synchronized to maintain a common clock time and to associate, to each of the recorded waveform samples, one or more timing values indicative of the clock time during recording the waveform sample. As the timing values are associated to the waveform samples, it is possible to reconstruct a time order of phenomena indicated by the recorded waveform samples. Thus, it is possible to identify which of the phenomena are causes and which are consequences when analyzing for example what happened prior to a fault situation.

Abstract: Provided is an artificial intelligence system. The system includes a first sensor configured to generate a first sensing signal during a sensing time, a second sensor disposed adjacent to the first sensor and configured to generate a second sensing signal during the sensing time, a pre-processing unit configured to select valid data according to a magnitude of a differential signal generated based on a difference between the first sensing signal and the second sensing signal, and an artificial intelligence module configured to analyze the valid data to generate result data.

Abstract: Computing systems, database systems, and related methods are provided for tracking performance associated with loading or updating a web page in a distributed manner. An exemplary method involves a server providing the web page to a client over a network. The web page includes code executable by the client to provide requests to the server over the network, assign identifiers to the requests, and determine client-side performance metrics associated with the requests. The server provides one or more responses corresponding to the requests to the client over the network, determines server-side performance metrics associated with providing the responses, receives the client-side performance metrics from the client after providing the responses, and maintains the associations between the client-side performance metrics, the server-side performance metrics, and the respective server requests using the identifiers assigned by the client.

Abstract: A DSP-based electrical energy metering device is provided. After determining a current application mode, a DSP controller compares an execution rate of each computing task with a corresponding preset comparison value, and outputs a first condition value to a condition general register based on a comparison result, so as to control an execution rate of each computing task in the DSP controller. A jump condition controller outputs a second condition value corresponding to the current application mode to the condition general register based on a change in the execution rate of each computing task compared with an execution rate of the computing task in a previous application mode, so that all computing tasks are executed. An adaptive word length controller adjusts an effective bit width of the electrical signal read by a data general register from a data memory at execution rates of different computing tasks.

Abstract: The present disclosure describes methods and systems for virtually calibrating geometric sensors with overlapping fields of view. In some embodiments, a geometric sensor may be virtually calibrated by applying a correction value to profile data obtained by the geometric sensor to generate adjusted profile data. The correction factor may be determined based at least in part on X-Y offsets and/or rotational offsets of prior profile data obtained by the geometric sensor relative to corresponding profile data obtained by a reference geometric sensor, and may be recalculated or updated as new sets of profile data are obtained. The adjusted profile data may be used in place of the original profile data in various data processing operations to functionally offset a positional error of the geometric sensor.

Abstract: Systems, methods, and other embodiments associated with providing long-term predictions for specific maintenance are described. In general, the system or method will: Retrieve a current amount of usage for a component part of a device, a failure probability curve for the component part, and a planned maintenance schedule for the device. Update the failure probability curve based on trends of data obtained from sensors associated with the component part, and causal factors associated with the device. Determine that the likelihood of failure for the component part after a first upcoming planned maintenance and before a second upcoming planned maintenance exceeds a threshold. Generate a work order for specific maintenance on the component part to be performed during the first upcoming planned maintenance. Transmit the work order to cause resources to be timely obtained and labor allocated to perform the specific maintenance during the first upcoming planned maintenance.

Abstract: A monitoring system and method for monitoring an operational operation to predict a fault in the operational operation. The operational operation monitors a number of manufacturing stages within a manufacturing system. The monitoring is accomplished using a number of sensors directed to measuring aspects of the manufacturing system, and detecting trends indicating a potential fault of the system according to a prediction model. The prediction model may be updated during online operation of the monitoring system.

Abstract: A method of conducting preventative maintenance on a robotic surgical system is provided. The method includes sensing an audio output generated by one or more components of a robotic surgical system with a sensor coupled to the robotic surgical system, converting the audio output into audio output data, comparing the audio output data to a predefined audio data stored in a memory device that is coupled to the robotic surgical system, and selectively outputting a preventative maintenance signal based on a comparison of the audio output data and the predefined audio data.

Abstract: The present invention relates to a power transformer asset management device and a method thereof, the device according to the present invention including: a full cycle database managing full cycle data of a power transformer; a physical performance evaluation unit performing physical performance evaluation that calculates a health index by analyzing and weighting life information, a failure ratio, operation history, and status information of a preventive diagnosis system from the full cycle data; a risk evaluation unit performing risk evaluation by generating a risk matrix using the physical performance evaluation result; an economic evaluation unit performing economic evaluation by evaluating costs over a full cycle of the power transformer; and an asset management unit establishing an investment plan for replacing the power transformer according to a maintenance priority of the power transformer determined using the physical performance evaluation result, the risk evaluation result, and the economic evalua

Abstract: A method of exercising a generator includes detecting a temperature of the generator by a temperature sensor, if the temperature of the generator is above a predetermined temperature, activating, by a controller, a starter motor of the generator, and performing, by the controller, an exercise test, and if the temperature of the generator is below the predetermined temperature, not activating, by the controller, the starter motor.

Abstract: The invention resides in a method or system configured to estimate the mass of material in a stockpile. The surface profile of the stockpile is obtained and a plurality of layers are defined in the stockpile. Each layer extends parallel to the surface profile. Density characteristics of the stockpile material are obtained, from database records or measurement tests. The volume of each layer is estimated. The density of each layer is estimated, according to the density characteristics of the stockpile material. Using the volume of each layer and the density of each layer the mass of the stockpile is calculated.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium for managing beam shaping in gradient refractive index (GRIN) media are provided. In one aspect, a method includes specifying a field evolution throughout a gradient-index (GRIN) medium and generating a refractive index profile of the GRIN medium based on the specified field evolution in the GRIN medium. Diffraction effects are considered in solving for the refractive index profile. The index profile is found by specifying a desired beam transformation throughout the GRIN medium and solving a series of phase retrieval problems. The GRIN medium can be two-dimensional (2D) or three-dimensional (3D).

Abstract: Techniques for telemetry data collection including receiving first telemetry data items each including a first value for a first performance measurement, generating respective data objects providing values for a first set of attributes including multiple context attributes and a performance attribute determined based on the first value, performing a machine-based selection of outlier data objects from the data objects, obtaining a targeting rule specifying selection conditions for at least two of the context attributes and corresponding to a selected subset of the outlier data objects, providing the targeting rule to multiple telemetry sources, and receiving second telemetry data items each associated with a different telemetry source that satisfied the selection conditions, and each including a second value for a second performance measurement, with the first telemetry data items not including values for the second performance measurement.