Abstract: Described is a system for adaptive calibration of a sensor of an inertial measurement unit. Following each sensor measurement, the system performs automatic calibration of a multi-axis sensor. A reliability of a current calibration is assessed. If the current calibration is reliable, then bias and scale factor values are updated according to the most recent sensor measurement, resulting in updated bias and scale factor values. If the current calibration is not reliable, then previous bias and scale factor values are used. The system causes automatic calibration of the multi-axis sensor using either the updated or previous bias and scale factor values.

Abstract: A water gathering and distribution system and related techniques for operating in freezing environmental conditions are disclosed. The system may include a water diverter unit or a water flow regulation unit configured to receive water from a water source situated at a location that is remote, inaccessible (or difficult to access), and/or experiences freezing environmental conditions and to deliver a controlled volume of that water for downstream use. The system further may include a water supply unit configured to receive that water and to supply it to downstream snowmaking equipment. In some instances, the supply unit also may cool the water to a temperature suitable, for example, for snowmaking. In a general sense, the disclosed system may be considered modular, in that multiple system components may be placed in flow communication with one another, as desired, to provide a distributed network of water collection and distribution elements.

Abstract: Embodiments herein provide a method for imputing sensor data, in a sensor data sequence with missing data based on the semantics learning, where semantics is defined by the constraints of the sensor data features. A candidate value for imputation is determined based on sensor data of corresponding instances of time instants of the sensor data sequence using learning based on semantics of features of the sensor data sequence with missing data. The nearest neighbors search has been applied in similar response data sequence using the data values corresponding to the time instant of missing data in sensor data sequence. In case similar response data sequence is not available imputation is performed based on the distribution pattern of missing data.

Abstract: Computer-implemented methods of characterizing chemical composition of a sample containing crude oil or a petroleum fraction are presented. The methods can include, in a processor, receiving assay data of the sample, and particularly molecular-level data obtained using advanced analytical techniques, and processing this data in view of a model library of compounds, including reconciling compound compositions, to form a characterization of the chemical composition of the sample.

Abstract: A failure location specifying device, a failure location specifying method, and a failure location specifying program capable of specifying locations of various failures occurring in a mechanism unit of a machine efficiently are provided. A failure location specifying device includes: a failure history database that stores a specific frequency band occurring resulting from a failure of a machine in correlation with at least an event code indicating a location of the failure; an input unit that receives data related to vibration during operation of the machine as an input; and an output unit that matches the specific frequency band to a frequency included in the data related to vibration to specify the location of the failure and outputs the event code.

Abstract: A process of evaluating and reducing outages in a power plant comprises acquiring analytical data for a power plant and its components, acquiring failure modes regarding power plants, identifying and categorizing the acquired failure modes in association with the components of the power plant at various levels, evaluating and ranking the significance of each of the identified failure modes based on the analytical data, evaluating and ranking the analytical coverages of the identified failure modes based on the analytical data, and ranking and evaluating the components based on the significance and the analytical coverages of their associated failure modes. Based upon the determined significance and analytical coverages of identified failure modes, a power plant owner is able to evaluate the performance of a power plant at various levels, identify analytical gaps in reducing outages of the power plant, and enhance the performance of the power plant.

Abstract: A measurement transmitter for a multisensor system for process automation technology, wherein the measurement transmitter, for processing in- and output signals, has a processor, which is connected with an interface, to which a sensor is connected for transmission of data via a transmission line. In communication between the processor and the interface, or the sensor and the interface, different transmission rates of data occur. In order to be able to connect to the measurement transmitter a plurality of sensors working with different principles of operation, and, in spite of the plurality of sensors, largely avoid errors in the data transmission, at least two sensors are present, wherein a function module is present in the interface for each sensor and the function module for each sensor is connected with such sensor via a dedicated transmission line.

Abstract: Methods and apparatuses are disclosed for determining a characteristic of a device's object detection sensor oriented in a first direction. An example device may include one or more processors. The device may further include a memory coupled to the one or more processors, the memory including one or more instructions that when executed by the one or more processors cause the device to determine a direction of travel for the device, compare the direction of travel to the first direction to determine a magnitude of difference, and determine a characteristic of the object detection sensor based on the magnitude of difference.

Abstract: A method is provided for the optimization of the process decoding coded ultrasound signals that comprises: defining/selecting a coding function for ultrasound pulses transmitted to a body under examination by means of a predetermined probe; defining the coefficients of a filter decoding the received signal depending on the selected coding function; using said filter coefficients as the setting of the decoding filter corresponding to said predetermined probe for all the ultrasound systems provided in combination with said probe; and wherein the coefficients of the decoding filters are determined by the minimization, by a heuristic iterative process, of the difference between the characteristics of a receive signal, obtained in a real transmit/receive sequence and filtered with a decoding filter, and the characteristics of an ideal receive signal, that is a nominal one, by using as the coefficients of the decoding filter those obtained in the last iterative step.

Abstract: A surface-consistent refraction analysis automatically derives near surface corrections during seismic data processing. Residual time lags are evaluated in multiple CMP-offset-azimuth bins by similarity analysis with a pilot trace where a correlation window is centered at the refracted arrival. The similarity analysis may take the form of computerized cross-correlation, or other criteria such as semblance. The residuals are then used to build a system of linear equations that is simultaneously inverted for surface-consistent shot and receiver time shift corrections plus a possible subsurface residual term. The refraction analysis steps are completely automated and require a fraction of the time needed for conventional near surface analysis.

Abstract: Methods and systems for evaluating integrity of a tubular located within a wellbore are provided. The method includes measuring an operation parameter of the wellbore, measuring a feature of the tubular two or more times to produce an integrity log each time the feature is measured, and determining a tubular integrity analysis for the tubular by using the integrity logs and the operation parameter. The tubular integrity analysis contains parameter limitations for the tubular. The method also includes determining if tubular integrity is within or outside the parameter limitations. If the tubular integrity is within the parameter limitations, then determine a duration of integrity for the tubular. If the tubular integrity is outside of the parameter limitations, then determine a location on the tubular for loss of tubular integrity.

Abstract: According to an embodiment, a client includes a street information collection unit for collecting street information near an arrangement place, a provision determination unit for determining whether the street information collected by the street information collection unit is information required to be provided to the server, and a first transmission unit for transmitting the street information, which is determined to be required to be provided by determination of the provision determination unit, to the server, with client identification information for identifying the client.

Abstract: A water management system effective for managing and metering water usage and detecting and reducing water leaks is described herein. The water management system can detect a leak when a volume of water flow or change in water pressure detected by a water meter of the system is uncharacteristic for a given day and time of day at the node. Upon detecting the leak, the system alerts the user, and in some situations, remotely shuts off a water supply to preemptively address a water leakage issue.

Abstract: A system is provided for determining whether a specific water appliance is malfunctioning. The system may comprise at least one processor configured to detect, from at least one sensor in a distributed water infrastructure upstream of the plurality of water appliances, a plurality of normal water usage profiles; associate at least one of the plurality of profiles with each of the plurality of appliances; detect at least one current water usage profile; and compare the at least one current profile with at least one of the stored profiles to determine a corresponding identity of an associated appliance and to determine if a deviation exists between the stored profile for the identified appliance and the at least one current profile. The deviation may be reflective of a potential malfunction in the associated appliance. The system may initiate remedial action if the deviation, reflective of a potential malfunction, is determined.

Abstract: A system and approach for a self-calculating test of a heating, ventilation and air conditioning load. The test may be run upon meeting predetermined conditions. Thermostatic control of the load may be disabled when the load test starts. If a call for heat or cool is made at the thermostat, response to the call may be delayed until the load test is completed, and if AC power is lost during the test, the test may finish and allow detection of the phantom AC detection device with a loss of AC power. If a voltage of a storage capacitor falls below a battery boost threshold, the test may be cancelled to allow the phantom circuit charge the storage capacitor. The system and approach may incorporate load test states that include an initialize state, start test state, get baseline state, test measure state, stabilize measurement state, calculation state, and finalize results state.

Abstract: Systems, methods, and apparatuses for data collection in a mining environment are disclosed.

Abstract: A microwave-based measuring device includes a number n of sensors, each sensor of the number n of sensors being embodied to generate associated sensor data such that, overall, a number n of items of sensor data are generated by way of the number n of sensors. A measurement variable calculation unit is embodied to calculate a number m of measurement variable values depending on the number n of items of sensor data on the basis of values of a number d of parameters. A learning unit is embodied to calculate the values of the number d of parameters on the basis of training data.

Abstract: Systems and methods are disclosed for generating a magnetic fingerprint map. Information representing orientation and position of each portable device is obtained along with magnetic field measurements that are correlated with positions determined from the information. Uncertainties associated with the magnetic field measurements are estimated and the magnetic field measurements and associated uncertainties are converted from a device frame to a unified fingerprint frame using the orientations determined from the information. Parameters of a probability distribution function for magnetic field measurements and contaminating measurements are mitigated at each determined position based at least in part on the converted magnetic field measurements and associated uncertainties. Correspondingly, the magnetic fingerprint map is generated from the determined parameters of the probability distribution functions.

Abstract: A system that creates an environment for using, transmitting, and storing data from a CEW and other equipment. The information from a CEW includes a log maintained by the CEW. The log may include information related to the operation, maintenance, software, and deployment units used by the CEW. The information may be used alone or in combination with other information received and stored by an evidence management system for managing inventory, generating use-of-force reports, incident reports, and/or providing information related to equipment, such as a CEW, to the supplier of the equipment. Sources of information provided to an evidence management system includes equipment suppliers, CEWs, other cooperating equipment, records management systems of an agency, a dispatch system of an agency, and third parties. A CEW or other equipment may also receive information for storing in the log.

Abstract: A method of determining an earthquake event for an earthquake detecting system includes retrieving at least one initial wave characteristic related to each earthquake data among a plurality of earthquake data; utilizing a support vector classification (SVC) method to establish an earthquake determination model according to the initial wave characteristic; and determining whether new earthquake data belong to an earthquake event or a non-earthquake event according to the earthquake determination model when the new earthquake data are received.