Abstract: Provided are an abnormality detection unit that detects abnormality or stop of at least one of a plurality of storage battery housing devices, a storage device extraction unit that extracts, when the abnormality detection unit detects the abnormality or the stop, one or more storage battery housing devices related to the storage battery housing device in which the abnormality or the stop is detected from among the plurality of storage battery housing devices, and an adjustment unit that determines adjustment of utilization rate of at least one of the one or more storage battery housing devices extracted by the storage device extraction unit.

Abstract: Techniques described herein detect a meter orientation based on a temperature gradient measured for a utility meter. A method for detecting a meter orientation includes determining a set of temperature measurements including a respective temperature measurement at two or more temperature sensors of a utility meter. The method further includes comparing the set of temperature measurements to a thermal fingerprint of the utility meter. The thermal fingerprint represents a baseline set of one or more temperature gradients based on the two or more temperature sensors over time. The method further includes detecting a meter orientation based on comparing the set of temperature measurements to the thermal fingerprint of the utility meter.

Abstract: A method of calibrating a contact probe having a deflectable stylus and configured to provide at least one signal which is indicative of the extent of deflection of the stylus, the contact probe being mounted on a coordinate positioning machine which facilitates reorientation of the contact probe about at least one axis. The method includes: taking measurement data obtained with the contact probe positioned at a plurality of different orientations about the at least one axis; and determining from the measurement data at least one gain variation model which models any apparent variation in the gain of the at least one probe signal dependent on the orientation of the contact probe about the at least one axis.

Abstract: The invention provides a system, a method, and a computer programmable product for generating map data of a region. The method comprises obtaining image data of the region. The method further comprises determining, based on the image data, a plurality of road objects corresponding to at least one road segment associated with the region. The method further comprises generating at least one cluster of road objects corresponding to the at least one road segment, based on the plurality of road objects. The method further comprises generating the map data of the region based on the at least one cluster of road objects.

Abstract: A power detector with wide dynamic range. The power detector includes a linear detector, followed by a voltage-to-current-to-voltage converter, which is then followed by an amplification stage. The current-to-voltage conversion in the converter is performed logarithmically. The power detector generates a desired linear-in-dB response at the output. In this power detector, the distribution of gain along the signal path is optimized in order to preserve linearity, and to minimize the impact of offset voltage inherently present in electronic blocks, which would corrupt the output voltage. Further, the topologies in the sub-blocks are designed to provide wide dynamic range, and to mitigate error sources. Moreover, the temperature sensitivity is designed out by either minimizing temperature variation of an individual block such as the v-i-v detector, or using two sub-blocks in tandem to provide overall temperature compensation.

Abstract: A method for programming global positioning system (GPS) coordinates for a smart meter includes receiving, by a server remote from the smart meter, an image file of a photograph of the smart meter; recognizing identification information of the smart meter from the image file; extracting GPS coordinates from metadata of the received image file; transmitting the GPS coordinates and instructions to store the GPS coordinates to the smart meter identified by the identification information; and storing, by a processor of the smart meter, the GPS coordinates in a memory of the smart meter.

Abstract: A method of estimating a material mechanical property of a porous material, for an application or objective with a specific application frequency and application strain amplitude, includes estimating an application frequency and an application strain amplitude for use in a targeted application or objective, and constructing a frequency transfer function relating the material mechanical property to measurement frequencies, the measurement frequency range including a measurement frequency different from the application frequency.

Abstract: Systems and methods for a lighting device are described. The lighting device can comprise a plurality of headlamps, a rechargeable battery, and a controller. The controller can be configured to perform one or more diagnostic tests.

Abstract: Disclosed is a method for qualitative and quantitative determination of key substances in mixture based on terahertz spectrum. Terahertz spectrum of a reference mixture is trained through an SVR algorithm, and predicting parameters of key substances in the mixture to be determined after a model is generated. According to the method, an initial pure spectrum corresponding to each composition in the mixture does not need to be separately determined, no limitation on the number of samples contained in the mixture, and no limitation on frequency range to be determined, and the proportion requirement of the mixture in the early test stage is not limited, and the SVR model does not need to be re-trained after a database is formed in the later stage, and the result can be obtained immediately after the spectrum of item to be determined is introduced into the algorithm model.

Abstract: A battery diagnostic system is disclosed for an RUL estimation of a battery. The battery diagnostic system comprises a memory configured to store a neural network trained to estimate a remaining useful life (RUL) of a test battery from a predetermined set of features indicative of a battery cycle of the test battery and a capacity of the test battery; a charging system configured to charge and discharge the test battery to provide measurements of the battery cycle and the capacity of the test battery; a processor configured to extract the predetermined set of features from the measurements to submit the extracted set of features to the neural network and an output interface configured to output the estimated RUL of the test battery.

Abstract: A precipitation index estimation apparatus includes a data collection unit and an estimation processing unit. The data collection unit is configured to collect rain-related data for estimating a precipitation index indicating an intensity of precipitation within a predetermined period from vehicle state information generated in one or more vehicles. The estimation processing unit is configured to carry out a statistical processing of the collected rain-related data and estimate the precipitation index within the predetermined period. The estimation processing unit is configured to correct, before the statistical processing, a value of the rain-related data to be used for the statistical processing, according to speed of a vehicle at the time at which the rain-related data is acquired.

Abstract: A computing system receives a request for computer-generated likelihood(s) for candidate evaluations of an industrial product set according to a measurement system analysis (MSA). The MSA comprises tests for evaluating, according to a measurement standard, the industrial product set. The request indicates a metric set representing metric(s) each quantifying an estimate of contribution to variation in evaluating the industrial product set according to the MSA. The system generates a design comprising a respective input set for each test of the MSA. The respective input set comprises setting(s) for conducting a test of the MSA. The design is designed to isolate candidate sources for contributing to the variation in evaluating the industrial product set according to the MSA. The system (e.g., prior to the MSA) outputs, based on the metric set and the design, the computer-generated likelihood(s) for the candidate evaluations of the industrial product set according to the MSA.

Abstract: A method for health assessment of a system including a transport apparatus including registering predetermined operating data embodying at least one dynamic performance variable output by the transport apparatus, determining a base value (CpkBase) characterized by a probability density function of each of the dynamic performance variable output, resolving from the transport apparatus in situ process motion commands of the apparatus controller and defining another predetermined motion set of the transport apparatus, registering predetermined operating data embodying the at least one dynamic performance variable output by the transport apparatus and determining with the processor another value (CpkOther) characterized by the probability density function of each of the dynamic performance variable output by the transport apparatus, and comparing the other value and the base value (CpkBase) for each of the dynamic performance variable output by the transport apparatus respectively corresponding to the predetermin

Abstract: A system, apparatus, and/or method is disclosed for producing a personal care product. An identity of a considered chemical composition may be input into a model (e.g., a machine learning model). The identity of the considered chemical composition may include ingredients. Each of the ingredients of the considered chemical composition may be associated with a value of a chemoinformatic property of chemoinformatic properties of the considered chemical composition. A value of the property of the considered chemical composition may be determined via the model. The value may be based on the identity of the considered chemical composition. The property of the considered chemical composition may be affected by an interaction of at least two of the ingredients of the considered chemical composition. A personal care product comprised of the considered chemical composition may be produced.

Abstract: A method includes receiving raw data and generating a manufacturing data packet (MDP) that includes at least a portion of the raw data. Generating the MDP includes associating metadata with the raw data and associating a timestamp with the raw data. The timestamp is synchronized to a common reference time. A data model associated with the MDP is obtained. The data model includes one or more predefined data types and one or more predefined data fields. A first data type from the one or more predefined data types is determined based at least in part on characteristics of the raw data. An algorithm is determined based at least in part on the first data type. The MDP is processed according to the algorithm to produce an output. The first data type is associated with the raw data. The output is associated with a data field of the first data type.

Abstract: A device may include a processor that may recover the signals misallocated in the deblending process of seismic data acquired with simultaneous sources. The processor may update the primary signal estimate based at least in part on a separation operation that separates coherence signals from noise signals in an output associated with the residual determined to be remaining energy for separation. The processor may be incorporated into the iterative primary signal estimate of the deblending process or be applied towards preexisting deblending output. In response to satisfying an end condition, the processor may transmit a deblended output that includes the weak coherence signals recovered from the misallocation or error in the primary signal estimate. The processor may also transmit the deblended output for use in generating a seismic image. The seismic image may represent hydrocarbons in a subsurface region of Earth or subsurface drilling hazards.

Abstract: A system, apparatus, and/or method is disclosed for producing a personal care product. An identity of a considered chemical composition may be input into a model (e.g., a machine learning model). The identity of the considered chemical composition may include ingredients. Each of the ingredients of the considered chemical composition may be associated with a value of a chemoinformatic property of chemoinformatic properties of the considered chemical composition. A value of the property of the considered chemical composition may be determined via the model. The value may be based on the identity of the considered chemical composition. The property of the considered chemical composition may be affected by an interaction of at least two of the ingredients of the considered chemical composition. A personal care product comprised of the considered chemical composition may be produced.

Abstract: An apparatus and method determine movement information for a user that carries an accelerometer whilst moving. The apparatus receives acceleration data from the accelerometer defined relative to a frame of reference of the accelerometer. A transformation is determined and applied to the acceleration data or to data derived from the acceleration data to determine acceleration data is a user frame of reference that includes a user direction of travel and a side to side direction transverse to the user direction of travel. The acceleration data or data derived from the acceleration data is analyzed to determine a time period corresponding either to a user stride period or to a step period as the user is walking or running; and information about accelerations in the side to side direction are used to disambiguate whether the determined time period corresponds to the user stride period or to the user step period.

Abstract: Systems, methods, and computer readable media for power outage determination. A device may determine an indication that an outage has occurred on a cable network based on a status of a network device within the cable network, wherein the network device receives power from a power network. The device may determine location information for at least a portion of a plurality of network devices, including the network device, within the cable network. The device may determine a cable topology of the cable network at an area that includes a location that corresponds to the network device. The device may determine a power topology of the power network at the area. The device may analyze the cable topology and the power topology at the area. The device may identify one or more potential failure locations on the power network.

Abstract: A system includes sensors for monitoring pressure, flow, pump speed, temperature, and/or other signals at the output of a main hydraulic pump, and a processing system executes one or more methods for identification of hydraulic system events, from the signals, corresponding to state changes and performance of the system and/or its subcomponents. Event identification is performed with classification and/or other machine learning algorithms, with generation of novel training data sets. The sensor(s) can also be used to determine power consumption information about the system and/or its subcomponents. The system processes event-associated outputs for execution of actions for improving system performance, along with other downstream applications.