Abstract: This disclosure relates to a method and system for regime-based process optimization of various assets of industrial manufacturing and process plants or units. Operating regimes of assets are identified and a regime similarity score of each asset is computed from regime sequences of integrated industrial data and compared with a given threshold to identify regimes of operation. Operating regimes are matched with regimes of regime database and industrial assets and similar operating regimes are group together. Process optimization is carried out for each group of industrial assets to identify optimum settings in order to maximize output or minimize loss/cost considering process and equipment constraints. Anomalies are analyzed in the unmatched operating regimes and a diagnosis is carried out to identify the root cause for any detected anomalies. Remaining useful life of components in the assets with unmatched operating regimes is estimated to ensure component reliability and to prevent failure.

Abstract: The disclosure provides an approach, or workflow, that extrapolates a segmentation carried out on a formation image into the labelling of fractures. The workflow can be applied to 2D and 3D images, which can be generated by different imaging technologies. Advantageously, one or more steps of the workflow can be performed automatically. An example of the workflow includes: (1) distinguishing fractures identified in a formation image from a background of the formation image by applying an entropy filter, wherein the formation image has elements that are defined as either fracture elements or non-fracture elements and entropy values for the elements are generated by the applying of the entropy filter, and (2) identifying the fracture elements that correspond to the fractures by solving a diffusion equation, wherein the entropy values are used as a diffusivity field for solving the diffusing equation and the fracture elements are used as a source.

Abstract: In some implementations, a device may monitor incoming messages to at least one message account of a user. The device may determine, based on monitoring the incoming messages, that one or more messages, of the incoming messages, are associated with resetting authentication information for one or more accounts of the user. The device may determine, based on determining that the one or more messages are associated with resetting authentication information, whether the one or more messages are indicative of abnormal authentication information resetting activity. The device may perform one or more actions based on determining that the one or more messages are indicative of abnormal authentication information resetting activity.

Abstract: Methods for updating an application programming interface (API) field of a transaction message may include receiving, with at least one processor, a payment transaction message, wherein the payment transaction message comprises data associated with a payment transaction; determining, with at least one processor, one or more API fields of the payment transaction message based on the data associated with the payment transaction; and modifying, with at least one processor, one or more API fields of the payment transaction message. Methods may also include transmitting, with at least one processor, a modified payment transaction message based on modifying the one or more API fields of the payment transaction message. Systems and computer program products are also disclosed.

Abstract: Traditional systems that enable extracting information from Piping and Instrumentation Diagrams (P&IDs) lack accuracy due to existing noise in the images or require a significant volume of annotated symbols for training if deep learning models that provide good accuracy are utilized. Conventional few-shot/one-shot learning approaches require a significant number of training tasks for meta-training prior. The present disclosure provides a method and system that utilizes the one-shot learning approach that enables symbol recognition using a single instance per symbol class which is represented as a graph with points (pixels) sampled along the boundaries of different symbols present in the P&ID and subsequently, utilizes a Graph Convolutional Neural Network (GCNN) or a GCNN appended to a Convolutional Neural Network (CNN) for symbol classification. Accordingly, given a clean symbol image for each symbol class, all instances of the symbol class may be recognized from noisy and crowded P&IDs.

Abstract: A pre-disaster banking system including a mobile conditions monitoring center including a vehicle having a system controller including: a device processor and a non-transitory computer readable medium including instructions to perform the following steps: receiving location data from a personal electronic device of a user; receiving forecast data regarding a predicted disaster; making a first determination, based on the received location data and the received forecast data, that the personal electronic device is located in an area that is expected to be affected by the predicted disaster; receiving banking information for the user; making a second determination that the user is scheduled to receive a payroll deposit that could be affected by the predicted disaster; and determining, based on the first determination and the second determination, a banking transaction to be executed for the user at a predetermined time relative to the predicted time of occurrence of the predicted disaster.

Abstract: An aerosol-generating device includes a housing having a first end defining a mouthpiece, a second end, and a cavity defined between the first end and the second end. The device also includes a reservoir within the cavity. The reservoir is configured to store a liquid aerosol-forming substrate. The device also includes an atomizer and a valve within the mouthpiece of the housing. The valve has a first side and an second side. The second side of the valve includes a hydrophilic coating, a hydrophobic coating, or both a hydrophilic coating and a hydrophobic coating.

Abstract: A scraper blade mounting assembly for a conveyor belt cleaner including; at least one scraper blade; a support cartridge arranged to removingly fix the at least one conveyor belt cleaner scraper blade; wherein a top surface of the support cartridge includes an engaging element for receiving the at least one conveyor belt cleaner scraper blade; and wherein the engaging element is arranged to restrain sliding movement of the at least one along the length of the support cartridge.

Abstract: Disclosed are methods of preparing CD34+CD43+ hematopoietic progenitor cells (HPC) in vitro according to embodiments of the invention. Also disclosed are methods of differentiating CD34+CD43+ hematopoietic progenitor cells to hematopoietic lineage cells according to embodiments of the invention. Also disclosed are methods of treating or preventing a condition in a mammal, e.g., cancer, according to embodiments of the invention.

Abstract: Loading, shifting, and staging objects in automated or semi-automated fashion including systems, methods, and apparatuses for the same. The embodiments hereof enable automated and/or semi-automated loading, shifting, organizing, staging, and accessing of objects in different environments, e.g., those associated with a logistics network operation. For example, one such environment is a vehicle. In one aspect, a loading mechanism is used to load objects into a storage space of the vehicle. In another aspect, a shifting mechanism is used to shift objects in a storage space of the vehicle. In another aspect, a door assembly allows for automated opening and closing of a door into a storage space of a vehicle. In addition, methods of manufacturing and using the same are provided.

Abstract: A tobacco product tip assembly. The tobacco product tip assembly includes a tip portion comprising a tip wall defining an inhalation chamber; the tip portion extending into a body portion comprising a body wall defining an insertion chamber, the insertion chamber being in communication with the inhalation chamber; the body wall comprising a mechanical fastener. A tobacco product assembly and a process for producing a tobacco product assembly are also included.

Abstract: A method may include receiving, via a processor, an indication that a user is performing one or more activities on a project code. The method may then involve receiving an insurance policy associated with the user and the project code in response to receiving the indication, monitoring the one or more activities performed on the project code by the user, and determining whether the one or more activities correspond to one or more expected activities associated with the insurance policy. The method may also include sending a notification indicative of one or more inconsistent activities to a user device in response to the one or more activities not corresponding to the one or more expected activities.

Abstract: Systems and methods of restarting a downhole pump for pumping downhole fluid and located in a wellbore that include determining a pump reverse rotational frequency of a downhole pump caused by downhole fluid flowing in a downhole direction using a phase locked loop. A pump motor is driven at a motor reverse rotational frequency matching the pump reverse rotational frequency. The pump motor is then driven to accelerate the pump reverse rotational frequency and thereby pump the downhole fluid in an uphole direction. The pump motor is then driven to decrease the pump reverse rotational frequency while continuing to pump the downhole fluid in the uphole direction. The pump motor is then driven to change the rotation of the downhole pump to a forward rotation at a pump forward rotational frequency to pump the downhole fluid in the uphole direction.

Abstract: A method may include: circulating a drilling fluid in a wellbore, wherein the drilling fluid includes: an aqueous phase; and a reclaimed carbon black additive; and drilling into a subterranean formation to extend the wellbore while the drilling fluid is circulated therein.

Abstract: An arrangement comprising a regenerative energy generator and a store for electrical energy to be output to a grid, the regenerative energy generator including an energy converter for converting renewable energy sources into electrical energy and a power control unit which has an input for a target power output and controls the power generation by the regenerative energy converter, with a charge controller for the store also being provided, which sets a minimum operating reserve and outputs a signal for a target state of charge (SoC) of the store. In order to achieve improved utilization of the store, a correction unit is connected to the charge controller and continuously modifies the signal for the target state of charge (SoC). A sequence control unit is actuated by the correction unit and influences the power control unit of the regenerative energy generator according to an output value of the correction unit.

Abstract: The disclosure provides a downhole power system that includes a combination of different power sources, which includes downhole power generators and rechargeable batteries that can be recharged downhole, a downhole bus and a bus power controller that manages the distribution of power from the different power sources to downhole tools connected to the downhole bus, such as tools of a BHA. The different power sources can be strategically positioned along the downhole bus/BHA. An example of a downhole distributed power system includes: (1) a downhole bus, (2) different power sources connected to and strategically positioned on the downhole bus, and (3) one or more controllers to perform operations that includes managing distribution of power, from the different power sources, to downhole tools connected to the downhole bus, wherein the different power sources include one or more power generators and one or more rechargeable batteries that are chargeable downhole.

Abstract: Provided is a downhole zonal isolation assembly. The downhole zonal isolation assembly, in accordance with one aspect, includes a rotating fracturing valve positionable within wellbore casing proximate a fracturing zone of interest. The downhole zonal isolation assembly, according to this aspect, further includes a rotating fracturing valve actuator coupled to the rotating fracturing valve, and rotating fracturing valve electronics coupled to the rotating fracturing valve actuator, the rotating fracturing valve electronics operable to activate the rotating fracturing valve actuator to move the rotating fracturing valve from a first wellbore casing open position to a second wellbore casing closed position.

Abstract: A system may include a processor that may receive account information having a plurality of transactions associated with a bank account. The processor may then determine an expected burn rate of funds based on the account information, determine an expected savings balance at a first time based on the account information and the expected burn rate, generate an event in response to the expected savings balance being below a threshold, and send an alert including the event to a computing device associated with the user. The alert may indicate a status of the expected savings balance via an electronic display of the computing device.

Abstract: This disclosure relates generally to method and system for estimating smoking episodes from smoke puffs using a wearable device. Since the expense of treating diseases is rising, a digital smoking cessation improves healthcare systems such as cardiovascular issues. To achieve an optimum model given the platform limitations a very compact model is built specifically for the target microcontroller platform. The method of the present disclosure generates an optimum model for deployment on the wearable device using a pretrained deep neural network (DNN). A set of sensor signals are inputted to a convolutional neural network (CNN) smoke detection model to detect smoke puffs. Gesture classifier determines whether the user of the wearable device is engaged/engaging in a smoking session. Further, the method provides users of the wearable device with a cloud estimated smoking behavior analysis based on a set of smoking episodes to generate a set of user risk scores.

Abstract: Method includes obtaining historical document images including text that correspond to different document classes; and generating a dictionary using text of the historical document images. The dictionary includes base words occurring with a greatest frequency in each document class. The base words are extracted from the text of the historical document images and arranged in datasets by a document class, where each dataset includes the base words of a same document class that occur with the greatest frequency within that document class. Trie structure is generated using the base words of the datasets that occur with a greatest frequency in each dataset. The trie structure includes internal nodes including root node and leaf nodes in which keys corresponding to the base words occurring with the greatest frequency in each dataset are respectively stored in predefined order. The trie structure is searchable in the predefined order starting with the root node.