Abstract: A method for analyzing noise spectrum of an electronic device includes storing a waveform data including a plurality of data points, the waveform data is obtained by measuring a target signal from the electronic device, removing data points corresponding to a background noise fluctuation based on a smooth curve of the waveform data, data points considered candidates for peaks are extracted from the waveform data, classifying the extracted data points based on a distance between adjacent data points in order to discriminate a cluster of distant data points from data points closely positioned to dominant peaks, determining the dominant peaks based on the cluster of distant data points such that the data points closely positioned to the dominant peaks are ignored, each dominant peak corresponds to the characteristic of the electronic device, and outputting the dominant peaks as an analysis result for the electronic device.

Abstract: An energy consumption alerting method includes measuring location-specific energy consumption values over a specific period at a sensor deployed at a location of a monitored site, and decomposing the location-specific energy consumption values according to a first characteristic. The method further includes decomposing the location-specific energy consumption values according to a second characteristic, and obtaining a first decomposed energy consumption value. The method additionally includes determining a corresponding first reference value based on the decomposed values, and comparing the first decomposed energy consumption value with the determined corresponding first reference value. Additionally, the method includes notifying a user if the first decomposed energy consumption value and the determined corresponding first reference value differ from each other. Furthermore, an energy consumption alerting system and a cloud-based energy consumption alerting platform is provided.

Abstract: Described herein is a method of determining a mine worksite's terrain. The method may include determining positions of a surface of the worksite based on measurements relating to the worksite's terrain. At least some of the measurements may be received from a plurality of mobile machines on the worksite. The method may include transmitting a first subset of the determined positions to a first mobile machine on the worksite. A corresponding computing system and computer-readable medium for executing the method are also described.

Abstract: Systems and methods are provided for determining an ambient temperature in a volume using a lighting based sensor. A status of a light with which a temperature sensor is associated is determined. A correction factor is accessed from a computer-readable medium based on the status of the light. A measured temperature is received via the temperature sensor. The measured temperature is transformed based on the correction factor, and the transformed temperature is transmitted from the light to a remote location.

Abstract: A method for analyzing noise spectrum of an electronic device includes storing a waveform data including a plurality of data points, the waveform data is obtained by measuring a target signal from the electronic device, removing data points corresponding to a background noise fluctuation based on a smooth curve of the waveform data, data points considered candidates for peaks are extracted from the waveform data, classifying the extracted data points based on a distance between adjacent data points in order to discriminate a cluster of distant data points from data points closely positioned to dominant peaks, determining the dominant peaks based on the cluster of distant data points such that the data points closely positioned to the dominant peaks are ignored, each dominant peak corresponds to the characteristic of the electronic device, and outputting the dominant peaks as an analysis result for the electronic device.

Abstract: A system includes a plurality of servers in a server rack and a plurality of baseboard management controllers (BMCs), each associated with a respective server from the plurality of servers. The system further includes a rack management controller (RMC). A first BMC of a first server determines component types of hardware components in the first server, determines a quantity of each of the component types in the first server, determines a first weight information of the first server based on the component types and the quantity of each of the component types, and sends to the RMC the first weight information. The RMC determines a weight of other components in the server rack, and calculates a loaded rack weight of the server rack based on the first weight information and the weight of other components.

Abstract: An approach for determining leakage current and threshold voltage for ensemble semiconductor devices, implemented in a computer infrastructure having computer executable code tangibly embodied on a computer readable storage medium having program instructions, are operable to: receive a number m of individual devices within an ensemble device; identify a sub-threshold slope; determine an uplift factor; separate random variation in logarithm of a leakage current into a correlated random component and an uncorrelated random component; determine a first standard deviation of correlated random component for the ensemble device; determine a second standard deviation of the uncorrelated random component for the ensemble device; generate a statistical model for electrical features of the ensemble device, based on the number m of individual devices, the sub-threshold slope, the uplift factor, the first and second standard deviation, and statistical random variables; and determine the electrical features of the ensembl

Abstract: A processor-based system utilizes analytical techniques that organize large volumes of hydrocarbon well data around spatial patterns, well characteristics, and/or calculated performance measurements in order to analyze the large volumes of well data faster and more efficiently. For example, one embodiment uses a custom-created library of metadata and rules that enables the underlying processor-based system to transform large volumes of oil and gas well data into a more organized and efficient database, saving many hours of labor. In particular, some of the organizational techniques include combinations of over 100 descriptors for each well, a variety of well-ranking regimes (such as Tiers, Quintiles, and Deciles), production profiles, and other groupings (such as Play Type, Operator Class, and the like).

Abstract: The present disclosure relates to a performance forecasting method applied to an air conditioning equipment and a central server. The air conditioning equipment has a plurality of detecting elements so as to detect a plurality kinds of physical parameters and a performance parameter. The central server stores those parameters as a set of first parameters and a first performance value. When the central server receives other physical parameters and another performance parameter, it calculates the similarity between the other physical parameters and each set of the first parameters according to the law of cosines. The central server selects the set of the first parameters which have the similarity being greater than a selecting threshold, so as to calculating an expected performance value. Accordingly, the central server can forecast a performance decline degree by comparing the another performance parameter and the expected performance value.

Abstract: A device for measuring low currents is proposed to include: a transimpedance amplifier to convert an analog current signal into an analog voltage signal; an analog-to-digital converter to acquire a graph that plots a curve representing variation of the analog voltage signal using digital codes; a statistic module to acquire a set of crossing numbers by: for each of the digital codes, making a straight line that has a constant value equaling the digital code across time in the graph, and counting a number of crossings of the curve with the straight line; and an analysis module to analyze distribution of the crossing numbers, and to output an output code based on the distribution of the crossing numbers.

Abstract: Disclosed herein is a vibration monitoring and diagnosing system for monitoring conditions of a wind power generator and diagnosing a defective portion thereof using vibration characteristics obtained from acceleration sensors mounted to the wind power generator. A vibration-based defect detecting method may include: collecting vibration data of the wind power generator using the plurality of sensors; extracting a first characteristic value of a time domain based on the vibration data; extracting characteristic values in one or more frequency bands for a location of each sensor in a frequency domain or an envelope frequency domain if the first characteristic value is greater than a preset alarm setting value; and determining that a defect is present when at least one characteristic value of the characteristic values is greater than a preset normal value.

Abstract: A system and method for classifying a sample are provided. The system includes a housing containing the sample, a sensing element to measure at least one physical parameter of the same, and a processor configured to receive and analyze the physical parameter measurement, and to determine if the sample can be classified based on the measurement. If the sample cannot be classified, the processor selects and applies other analytical techniques until the sample is classified. The method includes selecting an analytical technique to apply to a sample, applying the technique to the sample, obtaining the results of the analytical technique, and determining if the sample can be classified based on the analytical technique. The method further includes selecting and applying further analytical techniques if the sample was not classified, until the sample is able to be classified.

Abstract: The present invention reduces the time required by measuring a sensor object more than before. An input unit (10) includes an acquisition portion (11) that acquires a time sequence signal, a filter portion (12) that filters the time sequence signal according to a frequency, a forwarding portion (13) that forwards a filtered signal by frequency to a control device (90) and a filter switching portion (14). The filter switching portion (14) switches whether the filter portion (12) filters the time sequence signal according to a frequency in the process of acquiring the time sequence signal by the acquisition portion (11).

Abstract: A shot interval between activations of at least one frequency-controllable survey source is determined, where the shot interval is determined based on an expected frequency of an output of the at least one frequency-controllable survey source. The at least one frequency-controllable survey source is activated using the determined first shot interval.

Abstract: A method for a probabilistic detection of defects in ribbons of material laid on a fiber composite workpiece. The method includes detecting at least one surface profile of a workpiece having laid material ribbons and locating a surface profile entry in a database. In this case, the surface profile entry provides an assignment of the surface profile to a defect type and to a hit probability that the detected surface profile is based on a defect of the defect type.

Abstract: The formation of dynamic, micro-climate groups consisting of passive and active weather collecting devices is provided. Such devices may collect weather information in real-time. The collected information may be distributed weather information and or forecasts to individuals in a particular geographical area or to other subscribers.

Abstract: Road geometries may be determined from sparse data by identifying a set of mobile device data points generated by a mobile device located in a geographic area. Further, the data points may be connected with a curve comprising a series of splines defined by curve functions. The shape of the splines may be optimized by applying a scaling factor to the curve functions. A resulting optimized curve may be representative of a road in a geographic area.

Abstract: A system and method to reduce pressure on selected areas on a body include an array of programmable supports and at least one sensor to detect a physical property of the body. Each programmable support of the array of programmable supports includes an adjustable member and a mechanism to adjust the length of the adjustable member based on the detected physical property of the body.

Abstract: An apparatus and method for identifying a presence of a short circuit in a battery pack. A fault-detection apparatus for a charging system that rapidly charges a collection of interconnected lithium ion battery cells, the safety system includes a data-acquisition system for receiving a set of data parameters from the collection while the charging system is actively charging the collection; a monitoring system evaluating the set of data parameters to identify a set of anomalous conditions; and a controller comparing the set of anomalous conditions against a set of predetermined profiles indicative of an internal short in one or more cells of the collection, the controller establishing an internal-short state for the collection when the comparing has a predetermined relationship to the set of predetermined profiles.

Abstract: A method for predicting noise propagation in a circuit comprising correlating noise results predicted by a circuit model to a transistor level model with a processor, generating a first best fit data analytics model for identifying the optimal output pin capacitance as a function of circuit conditions and store the first best fit model in a noise rule file in a memory, generating a second best fit data analytics model for predicting noise peak output from the circuit model as a function of the circuit conditions and store the second best fit model in the noise rule file in the memory, and applying the first best fit model and the second best fit model in a noise analysis simulation to identify and simulate an optimal circuit.