Abstract: One aspect is an image forming apparatus including a motor that drives a first member, a second member, a movement member that moves between a first position where the first and second members contact and a second position where the first and second members are separated, and a controller that receives an instruction to start a print job for forming an image on a recording medium, and executes an initial operation for determining a phase of a rotor of the motor in a stopping state of the rotor based on current flowing through a coil of the motor by supplying current to the coil in the stopping state in a state where the movement member is located at the first position, to control the current supplied to the coil to rotate the rotor in the stopping state based on the phase determined in the initial operation.

Abstract: A battery management method and system are provided. The method includes acquiring one or more parameters associated with the battery. The one or more parameters includes a current level, a voltage level, a State of Charge (SOC), and a temperature. The method includes determining a load and energy estimation model based on the one or more acquired parameters. The method includes identifying a power limit of the battery based on the load and energy estimation model. The method includes determining a power margin of the battery at a first usage time interval based on the identified power limit. The method includes performing one or more actions, based on a determination that the power margin of the battery exceeds a predefined threshold level.

Abstract: A system for monitoring pipeline leaks including a data acquisition unit configured to receive measurement data from a plurality of pipeline instruments, the measurement data corresponding to operation of a pipeline, at least one leak detection engine configured to receive at least a portion of the measurement data and generate at least one pipeline leak parameter, a process analyzer configured to receive at least a portion of the measurement data and determine a state of operation of the pipeline, and an orchestrator configured to determine whether a pipeline leak has occurred based on the pipeline leak parameters and the state of operation of the pipeline.

Abstract: According to some aspects, machine-learning models can be executed to classify a subsurface rock. Examples include training numerous machine-learning models using training data sets with different probability distributions, and then selecting a model to execute on a test data set. The selection of the model may be based on the similarity of each data point of the test data set and the probability distribution of each training class. Examples include detecting and recommending a pre-trained model to generate outputs predicting a classification, such as a lithology, of a test data set. Recommending the trained model may be based on calculated prior probabilities that measure the similarity between the training and test data sets. The model with a training data set that is most similar to the test data set can be recommended for classifying a physical property of the subsurface rock for hydrocarbon formation.

Abstract: This maintenance assistance method detects a sign of abnormality of a power storage element on the basis of measurement data pertaining to the power storage element, which is sequentially stored in a storage device, determines at least any among a work period of a maintenance work corresponding to the detected sign of abnormality, the number of workers, and an article including a replacement or a tool required for the maintenance work, and notifies the workers of the maintenance work of execution of the maintenance work corresponding to the determined item.

Abstract: A method (100) and system (500) for determining a floe size distribution (350), (516) for a plurality of floes within a geographical area (204), comprising determining a chord length distribution (512) for the geographical area (204), the chord length distribution (512) comprising a plurality of measured floe chord lengths, and determining the floe size distribution (350, 516) over the geographical area (204) based on the chord length distribution (512), the floe size distribution (350, 516) comprising a plurality of floe diameters (402).

Abstract: An image forming system includes an image forming unit, a varnish, a receiving unit, and a control unit. The image forming unit executes image forming processing to form an image on a plurality of types of recording media including a first type recording medium having a coated layer and a second type recording medium that is without a coated layer. The varnish application unit executes varnish application processing to apply varnish to a recording medium on which the image is formed by the image forming unit. The receiving unit receives an instruction for selecting a recording medium and to receive an instruction for the varnish application processing. The control unit performs control to prevent the receiving unit from receiving an instruction to execute the varnish application processing on the second type recording medium.

Abstract: A charging member may include a surface layer. The surface layer may include a urethane resin, an electron conducting agent, an azo-based metal complex compound, and a quaternary ammonium salt.

Abstract: An opening/closing mechanism includes a first inclined portion disposed in an opening/closing body that opens/closes while a first shaft serves as a fulcrum in a main body, a second inclined portion disposed in the opening/closing body, and a swing portion that swings between the first inclined portion and the second inclined portion while a second shaft disposed in the main body serves as a fulcrum, in which during a closing operation of the opening/closing body, the swing portion applies a force in a closing direction of the opening/closing body by coming into contact with the first inclined portion, after applying a force in an opening direction of the opening/closing body by coming into contact with the second inclined portion.

Abstract: This invention presents an innovative framework for the application of machine learning for identification of alloys or composites with desired properties of interest. For each output property of interest, we identify the corresponding driving (input) factors. These input factors may include the material composition, heat treatment, process, microstructure, temperature, strain rate, environment or testing mode. Our framework assumes selection of optimization technique suitable for the application at hand and data available, starting with simple linear, or quadratic, regression analysis. We present a physics-based model for predicting the ultimate tensile strength, a model that accounts for physical dependencies, and factors in the underlying physics as a priori information.

Abstract: A developing cartridge includes a casing, a developer-carrying member, a supply member, a developing electrode, a supply electrode, and an insulating member. The casing is configured to accommodate therein developer. The developer-carrying member is configured to rotate about a rotational axis and carry the developer thereon. The supply member is configured to supply the developer to the developer-carrying member. The developing electrode is configured to be electrically connected to the developer-carrying member. The supply electrode is configured to be electrically connected to the supply member. The insulating member insulates the developing electrode and the supply electrode with each other. The developing electrode, the insulating member, and the supply electrode are overlapped in this order in an axial direction of the rotational axis.

Abstract: A method includes receiving, by a first device in a stack, a command from a controller. The stack includes multiple devices. The method also includes dissipating, by the first device, an amount of power responsive to a difference between a longest response time for the devices to respond to the command, and a device response time for the first device to respond to the command.

Abstract: Disclosed are techniques to conserve battery of an endpoint device. Example techniques include adjusting the size of messages transmitted by an endpoint device and/or adjusting the transmission rate of an endpoint device. In some configurations, the one or more criteria are used by an endpoint device to determine what data fields to include within a message and/or adjust a transmission rate associated with the transmission of messages by the endpoint device. For instance, the one or more criteria may include the battery level of the device, the time of year, whether the data has already been transmitted by the endpoint device, whether the data has been acknowledged as received by another device, whether the endpoint device has been instructed by another device to reduce the message size and/or adjust the transmission rate, and the like.

Abstract: Real-time alerts and transmission of selected signal samples is disclosed. One example is a system including a base facility linked to a production station with an alerting system to perform anomaly analysis utilizing an anomaly model. A receiver at the base facility receives, from the production station, a selection of signal samples based on the anomaly analysis, where the received selection is optimized at the production station to be substantially relevant to an update of a statistical model while adhering to a dynamic capacity limitation of the production station. The statistical model is maintained at the base facility and incorporates features related to the production station. A management system at the base facility updates the statistical model based on the received selection, optionally derives an updated anomaly model based on the statistical model, and optionally transmits the updated anomaly model to the production station.

Abstract: Systems and methods for automated or computer assisted planning of pipe replacement projects includes searching a database of pipe segments each having assigned or calculated failure risk parameters. The searching algorithm looks for connected pipe segments falling within a customer's specified project size and identifies potential projects having a relatively high combined high failure risk.

Abstract: An image heating device includes a conveyance belt having a heat generation layer, and a first electrode portion, a second electrode portion and a third electrode portion that are in contact with the heat generation layer. The conveyance belt conveys a recording medium that includes an image. A first heat generation region formed on the conveyance belt between the first electrode portion and the second electrode portion generates heat to a first temperature that is equal to or greater than a deformation temperature at which a material forming the image is deformable. A second heat generation region formed between the second electrode portion and the third electrode portion generates heat to a second temperature that is different from the first temperature. The first heat generation region and the second heat generation region are located in a region of the conveyance belt to contact the recording medium.

Abstract: A battery management device manages an energy storage device to which a shunt resistor is connected. The battery management device includes: a current measurement unit that measures a current flowing through the shunt resistor using a pair of signal wires connected to both ends of the shunt resistor; a connecting wire that connects the signal wire to a reference potential source via an opening/closing switch; and a determination unit that determines presence or absence of a failure in which connection between the pair of signal wires via the shunt resistor becomes defective based on a change in current measured by the current measurement unit when the opening/closing switch is opened and closed.

Abstract: Train a machine learning model, using an image-based knowledge graph of tropical cyclone data, for implementing a surface field modeling architecture that produces images of at least surface wind fields and surface rainfall fields from images of at least tropical cyclone tracks and pressure intensities. Generate model images of a modeled surface wind field and a modeled surface rainfall field by providing images of at least a user-generated tropical cyclone track and pressure intensity to the trained machine learning model.

Abstract: A workstation for measuring dimensions includes an operator zone, a first fixture, a second fixture, a component delivery device, a gauge, and a collaborative robot. The second fixture is accessible to an operator in the operator zone. A component delivery device deposits a first component onto the first fixture. The envelope of the component delivery device is not accessible by the operator in the operator zone. The collaborative robot supports the gauge tool and has a range of motion capable of measuring the first component on the first fixture and a second component on the second fixture. A control module is in communication with the gauge and the collaborative robot and operates the collaborative robot to measure the first component on the first fixture and the second component on the second fixture.

Abstract: A battery management apparatus is configured to diagnose a state of a battery cell based on a capacity-voltage differential profile. Specifically, the battery management apparatus diagnoses a state of the battery cell according to a change pattern of a peak associated with a positive electrode reaction area and a peak associated with an available lithium loss in the capacity-voltage differential profile. The state of the battery cell may be diagnosed in real time even while the battery cell is in operation. In addition, it is possible to independently diagnose whether the positive electrode reaction area of the battery cell is reduced and whether available lithium is lost.