Abstract: A plurality of known compounds with known CCS values is analyzed using a DMS device. The DMS device determines how the intensities of their transmitted ions vary with different separation voltages (SVs) and compensation voltages (CVs). A machine learning algorithm builds a data model from the known m/z value, known CCS value, and measured pairs of CV and SV values that provide optimal transmission through the DMS device for each of the known compounds. An unknown compound with an unknown CCS value is then analyzed. The DMS device determines how the intensity of its ions varies with the same different SVs and CVs. Finally, the machine learning algorithm predicts the CCS value of the unknown compound from the data model, the known m/z of the unknown compound, and the measured pairs of CV and SV values that provide optimal transmission through the DMS device for the unknown compound.

Abstract: The present disclosure relates to a sensor system having at least one measuring point having at least one first sensor and one measuring transducer. The first sensor is configured to output first sensor signals that are a function of a first measurand of a measuring medium present at the measuring point. The measuring transducer is connected to the first sensor in order to receive the first sensor signals and comprises an evaluation application which is configured to determine one additional piece of information that is different from the first measurand using an evaluation algorithm on the basis of at least the first sensor signals. The sensor system furthermore comprises a higher-level data processing structure, such as a server or a cloud. Both the higher-level data processing structure and the measuring transducer are configured to execute a training application configured to train the evaluation algorithm.

Abstract: The disclosure relates to a method for processing a mass spectrum, comprising: (i) providing the mass spectrum which contains a plurality of data pairs, each data pair being representative of a mass value or mass-related value on a mass scale or mass-related scale and an abundance value or abundance-related value associated with the respective mass value or mass-related value, (ii) selecting a plurality of intervals on the mass scale or mass-related scale, each interval containing a multitude of the said data pairs, (iii) for each interval, applying a first mathematical-statistical analysis to the said data pairs contained in the respective interval in order to derive an interval-specific peak width, and (iv) using the said interval-specific peak widths to determine an estimated peak width for each mass value or mass-related value on the mass scale or mass-related scale.

Abstract: A system, method, and apparatus for wellbore inspection comprise an electron accelerator to generate X-rays, a rotating collimator assembly configured to produce a cone of X-rays, and at least one detector assembly configured to collect backscattered X-rays. A position assembly can be provided to move the electron accelerator, rotating collimator assembly, and detector through a wellbore. A computer system is configured to receive data from the detector and generate an image of the wellbore.

Abstract: The image forming apparatus includes a fixing device that has a heater, and a required power calculation unit that determines a power Pfsr that is assumed to be required by the heater. Based on a difference between a required power that is determined by the required power calculation unit and a suppliable power, the image forming apparatus selects whether to start printing in a normal mode or to start printing in a power saving mode in which the power that is supplied to the heater is reduced in comparison to the normal mode. The power saving mode includes a plurality of modes, and when a CPU selects the power saving mode, the CPU selects one or a combination of modes from among the plurality of power saving modes based on the aforementioned difference.

Abstract: A computing system obtains test data for a particle source. The test data was generated by the particle source when the particle source was caused to emit particles. The test data comprises a first set of measurements of a first type and a second set of measurements of a second type. The computing system applies a data agnostic predictive model to the test data. The data agnostic predictive model is generated without a parametric analysis of variables of the first type and variables of the second type. The data agnostic predictive model outputs, based upon the test data, a value that is indicative of whether or not the test data is abnormal. Based upon the value, the computing system outputs an indication that the particle source was operating sub-optimally when emitting the particles.

Abstract: An improved solution accurately predicts of an underground pipe's likelihood of leaking. A data-driven approach uses a combination of information acquisition, classification, regression and/or machine learning. The replacement of underground pipes can be prioritized. Pipe data is inputted and processed. Potential features within the cleaned data is used in pipe life of failure prediction models. The importance of the potential features is ranked. The most important features are extracted and applied to a likelihood of failure model that is created based on historical data and machine learning. Future likelihood of failure for each pipe in the network of pipes can be predicted using the model.

Abstract: A first replaceable unit is provided for use with a second replaceable unit in an electrophotographic image forming device. The first replaceable unit includes a latch movable between a latching position for latching the first replaceable unit to the second replaceable unit and an unlatching position for permitting the first replaceable unit to separate from the second replaceable unit. The latch is positioned to contact a latch catch on the second replaceable unit in order to prevent the first replaceable unit from separating from the second replaceable unit when the first replaceable unit is mated with the second replaceable unit and the latch is in the latching position. The latch includes a cam follower surface for contacting a camming surface on the second replaceable unit during mating of the first replaceable unit with the second replaceable unit to cause the latch to move toward the latching or unlatching position.

Abstract: A method, a system, and a device for full-waveform inversion deghosting for a marine variable depth streamer data acquisition are provided for solving existing problems that deghosted seismic data has low accuracy and is accompanied by artifacts due to a large error in ghost prediction. The provided method includes: acquiring seismic data, jointly solving Lippmann-Schwinger equations to obtain normal derivatives of an incident wave field and a wave field of a receiver surface, performing a wave field extrapolation by a Kirchhoff equation that includes only an integral on the receiver surface to obtain a wave field of a sea surface recorded by a horizontal streamer, calculating a ghost operator, and subjecting the ghosted wave field of the sea surface recorded by the horizontal streamer to full-waveform inversion deghosting to obtain deghosted seismic data. The provided method improves the accuracy and signal-to-noise ratio (SNR) of deghosted seismic data.

Abstract: The utility model relates to the field of temperature detection, in particular to a food temperature detection system. The food temperature detection system comprises a temperature collector, a distance amplifier and a processing device. The temperature collector and the distance amplifier both are connected with the processing device, and the temperature collector is connected with the distance amplifier. The temperature collector collects the temperature of food, then the collected food temperature information is sent to the distance amplifier, and the distance amplifier performs signal enhancement on the collected food temperature information, so that a transmission distance of the food temperature information is increased. By additionally arranging the distance amplifier, the food temperature information is enhanced, so that the processing device is capable of acquiring the food temperature information stably, thereby improving the detection accuracy of food temperature.

Abstract: A validation method applied to sensor data prior to submitting to a blockchain, a computer program product, and a system for validating chemical data. One embodiment may comprise receiving a sensor captured result at an application, applying the sensor captured result to a domain-specific statistical model of expected range of variability of measured results to extract a distribution of expected sensor values, computing a confidence value in the sensor captured result using the domain-specific statistical model, validating the confidence value against a required threshold of confidence, and submitting the sensor captured result for appending to the blockchain if the confidence level is validated against the threshold of confidence.

Abstract: A method and apparatus for detecting an abnormality of a manufacturing facility is disclosed. According to an example embodiment of the present disclosure, a learning model generating method for manufacturing facility abnormality detection may include receiving a measured value for a normal state of a manufacturing facility collected through a multi-sensor on a time-by-time basis, generating a learning model including a predetermined weight set and training the learning model using the measured value, and determining, using the learning model, a threshold corresponding to a boundary between the normal state and an abnormal state of the manufacturing facility and a criterion for determining the abnormal state in a local window representing a predetermined time interval.

Abstract: In an embodiment, the present disclosure is directed to an assembly for preventing condensation on a surface of an object. The assembly includes a condensation mitigation device, an ambient temperature sensor, a humidity sensor, and a processor. The processor determines dewpoint temperatures for different times, the determination being based on the ambient temperature and the humidity. The processor then determines a regression for the determined dewpoint temperatures. A control signal for activating the condensation mitigation device is transmitted based on the regression for the determined dewpoint temperatures.

Abstract: A decurling device includes: a rotary body; an endless correction belt configured to correct curl of a recording medium passing between the rotary body and the correction belt; and a pressure contact unit disposed inside the correction belt, an opposite surface of the pressure contact unit to the rotary body being supported by a support unit so as to be in pressure contact with the rotary body, in which a center portion, in an axial direction of the rotary body, of at least one of a contact portion of the pressure contact unit or a contact portion of the support unit further protrudes toward the other of the contact portion of the pressure contact unit and the contact portion of the support unit than both end portions thereof.

Abstract: A light deflector includes a rotary polygon mirror and a motor to rotate the rotary polygon mirror. The rotary polygon mirror includes reflecting surfaces to reflect light emitted from a light source and a hole portion provided in a rotational axis direction. The motor includes a shaft portion in the hole portion and a support member supporting the rotary polygon mirror. The support member is fixed to, and coaxial with, the shaft portion, and includes an insertion portion in the hole portion. The rotary polygon mirror includes a protruded portion near the hole portion and protruding from at least one reflecting surface orthogonal to the rotational axis direction. The protruded portion includes a fitting portion fitted to the shaft portion or the support member and in which a portion continued from a hole portion surface is protruded toward the rotation center more than the surface forming the hole portion.

Abstract: An ultrasonic scanner acquires a gain profile including gain values for corresponding travel times in ultrasonic echoes reflected by a reference object. An ultrasonic probe signal is sent toward a test object. In response, an ultrasonic echo reflected by the test object is received at the scanner. A time of arrival of the echo is estimated. The gain profile is aligned with the echo according to the estimated time of arrival of the echo. The echo is amplified using the aligned gain profile and the amplified echo is digitized before being attenuated using the aligned gain profile. An actual time of arrival of the echo is calculated based on the attenuated digitized echo. The gain profile is re-aligned with the attenuated digitized echo according to the actual time of arrival of the echo. The attenuated digitized echo is re-amplified using the re-aligned gain profile to obtain a gain-corrected echo.

Abstract: Provided are a method for searching for a molecular stable structure, a program for searching for a molecular stable structure, and a device for searching for a molecular stable structure, which are capable of acquiring a stable structure and various locally stable structures from a structural formula of a compound in a short time and with high accuracy. A three-dimensional structure is generated from the structural formula of the compound, and a locally stable structure is obtained from the three-dimensional structure. A one-dimensional or multidimensional energy distribution function for one or a plurality of internal coordinates and a probability distribution function of increasing a probability of low-energy internal coordinates are calculated from internal coordinates and an energy value of the locally stable structure.

Abstract: A calibration monitoring system is provided to automatically monitor the calibration status of tools and other inventory items, such as upon the items being issued from or returned to the automated calibration monitoring system. The system identifies an inventory item, for example a calibrated torque wrench or other calibrated tool identified based on a unique identifying tag attached thereto. The system retrieves a calibration parameter value for the item from a calibration database, and completes a calibration measurement of the item based on the calibration parameter value. In the example, a torque measurement of the calibrated torque wrench can thus be automatically completed. In turn, the system determines a current calibration status of the item based on the calibration measurement, and selectively enables or disables issuance of the inventory item from the system according to the item's status as being in calibration or out of calibration.

Abstract: Methods and apparatus related to determining one or more user habits for a user. A group of one or more past user activity occurrences of a user may be determined based on similarity between the past user activity occurrences of the group. A user habit may be determined based on the past user activity occurrences of the group.

Abstract: A notification determinator determines whether or not an inspection result of a winding body indicates defective on the basis of whether or not continuous positions of a first end surface and a second end surface indicated by first group data and second group data are separated from reference positions by a predetermined distance or more. In a case where the inspection result of the winding body indicates defective, a notification determinator performs a notification that inspection in an inspection machine is not performed normally, and outputs information indicating that a cause of the defect is a take-out chuck of an inspection machine or any of a plurality of winding cores to a display for maintenance.