Abstract: According to an embodiment, in a solution provision method and system: a target solution for a target factory is determined in a platform in which solutions for a smart factory, the solutions including at least one template, are registered; at least one target template corresponding to the target solution is revised according to an environment of the target factory; and the target solution, to which the revised target template is applied, is applied to the target factory.

Abstract: A folding trailing arm landing gear assembly having a main fitting configured to couple to a hinge positioned at a proximal end; a swing arm rotatably coupled at a proximal end to a distal end of the main fitting; a shock coupled at a distal end to a distal end of the swing arm; a bellcrank coupled at a distal end to a proximal end of the shock, and coupled at a proximal end to the main fitting; and a wheel coupled to the swing arm.

Abstract: Aspects of the present disclosure include system, methods, and software for buffer insertions. In one example, a method includes receiving a clock signal network layout, the clock signal network layout comprising a clock source electrically coupled to a plurality of clock sinks via a plurality of net segments, a first hierarchy that bounds a first region of the clock signal network layout, and a second hierarchy that bounds a second region of the clock signal network layout. The method additionally includes creating a graph representative of the clock signal network layout, the graph comprising a plurality of logical edges, and identifying a to-be-inserted buffer location comprising a location on a net segment of the plurality of net segments to insert a buffer. The method further includes selecting a selected logical edge to insert the buffer based on the to-be-inserted buffer location, the first hierarchy, the second hierarchy, or a combination thereof.

Abstract: Disclosed herein are medical systems and devices that include an elongate probe configured for insertion into a patient, where a multi-core optical fiber extends along the elongate probe. The optical fiber includes sensing core fibers that extend distally along a flexible distal tip section having a bending flexibility that exceeds a flexibility of a main probe section. The optical fiber may further include illumining core fibers, imaging core fibers, and an electrical conductor. An electrode at the distal end provides for detection of an ECG signal. The distal tip section may also be steerable. The system includes a console having processors and logic stored in memory. The logic facilitates portraying of a shape of the elongate probe, an ECG waveform and/or an image of an interior of the patient. The elongate probe further includes a shape memory material defining a transition temperature.

Abstract: Systems, methods, and apparatuses for providing dynamic, prioritized spectrum utilization management. The system includes at least one monitoring sensor, at least one data analysis engine, at least one application, a semantic engine, a programmable rules and policy editor, a tip and cue server, and/or a control panel. The tip and cue server is operable utilize the environmental awareness from the data processed by the at least one data analysis engine in combination with additional information to create actionable data.

Abstract: Systems and methods are provided for executing aggregate computing operations for a computing report without modifying records used to generate the computing report in a computing network. An exemplary method includes: receiving a selection of records from one or more available records; receiving a selection of an aggregate computing operation from one or more first computing operations; receiving a request for generating a first computing report based on the records; generating the first computing report comprising one or more first computing operation results; executing the aggregate computing operation on the one or more first computing operation results, thereby resulting in one or more second computing operation results, wherein the executing of the aggregate computing operation on the records does not modify the records; and transmitting the first computing report for display on a second user interface, the first computing report comprising the one or more second computing operation results.

Abstract: Disclosed herein are systems and methods of calibrating a microscope or an imaging system prior to acquiring image data of a sample. In some embodiments, a method is disclosed including the steps of (a) running a power output calibration module to calibrate an imaging apparatus for repeatability; (b) running an image intensity calibration module to calibrate the imaging apparatus for reproducibility and to mitigate differences in detection efficiency between channels; (c) collecting image data from a microscope or imaging system; (d) optionally running an unmixing module to unmix the collected image data into individual image channel images; and (e) optionally running a contrast agent intensity correction module to calibrate for differences in brightness between different contrast agents.

Abstract: Various techniques are provided for training a neural network to classify images. A convolutional neural network (CNN) is trained using training dataset comprising a plurality of synthetic images. The CNN training process tracks image-related metrics and other informative metrics as the training dataset is processed. The trained inference CNN may then be tested using a validation dataset of real images to generate performance results (e.g., whether a training image was properly or improperly labeled by the trained inference CNN). In one or more embodiments, a training dataset and analysis engine extracts and analyzes the informative metrics and performance results, generates parameters for a modified training dataset to improve CNN performance, and generates corresponding instructions to a synthetic image generator to generate a new training dataset. The process repeats in an iterative fashion to build a final training dataset for use in training an inference CNN.

Abstract: Heat pump systems, control systems for heat pumps, and methods of controlling heat pumps utilizing distributed control techniques are described herein. Examples of the control systems include multiple control devices distributed amongst a heat pump system. A first of the control devices is configured as a main control device to execute a model predictive control algorithm for the heat pump system. The other, remaining control devices are configured as a shadow control system to monitor the first control device. If a fault or failure occurs in the first control device, the shadow control system elects and initializes a second of the control devices as the main control device to continue executing the model predictive control algorithm uninterrupted. This allows the control system to dynamically react to faults or failures at any one part of the heat pump system while maintaining full operation of the functional parts.

Abstract: A first output is received from a first hardware optical sensor. A second output is received from a second hardware sensor. Guidance is provided for a movement via a user interface, wherein the guidance is based at least in part on: the first output from the first hardware optical sensor; the second output from the second hardware sensor; and a model based at least in part on historical performance of the movement; and wherein at least one of the first output and the second output triggers a condition.

Abstract: A system is provided that learns a radar scene's background and that filters radar tracks determined to be in the radar scene background; The system including processing circuitry configured with executable instructions to accesses radar tracks that include radar measurements; to use the measurements to determine a persistent radar object in a radar scene background; and to subsequently filter accessed radar tracks having locations within the radar scene background.

Abstract: A flow chamber, a cooling system and a method are described. The flow chamber includes an upper chamber including a top wall, an actuator, and a lower chamber. The actuator is located distally from the top wall. The lower chamber receives fluid from the upper chamber when the actuator is actuated. The top wall includes at least one cavity therein. The cooling system utilizes cooling cells including the flow chamber. The method includes driving the actuator at a frequency that directs fluid through the flow chamber.

Abstract: An antenna structure applied in a wireless communication device including a hinge, the antenna structure includes a feed portion, a first radiation portion, and at least one ground portion; an end of the first radiation portion is electrically connected to the feed portion, another end of the first radiation portion is spaced from the hinge with a gap; the antenna structure generates a radiation signal in at least one radiation frequency band when the feed portion feeds electrical current to the first radiation portion and the hinge couples the electrical current from the first radiation portion. A wireless communication device having the antenna structure is also provided.

Abstract: Data recovery from a cyber-attack is expedited based on data storage management integration with cyber threat deception. A cyber threat detection and deception system analyzes a “deposit” placed by an attacker at a deception trap, identifies distinguishing attributes of the deposit, and determines which subset of real data assets may be at risk, preferably based on subnet/VLAN proximity to the attacker's deposit. By focusing immediate attention on the subset of at-risk assets, a data storage management system shortens the amount of time needed to identify safe copies and components and to prepare them for recovery. Storage operations involving the at-risk assets are suspended and users are not shown at-risk assets and cannot invoke recovery or copy operations for them. Without the focus on at-risk assets provided by the cyber threat detection and deception system, the data storage management system would take much longer to navigate its backup data stores.

Abstract: A data processing system includes memory and reconfigurable processors, operatively coupled to the memory, configured to execute a sequence of subgraphs of a graph. The sequence of subgraphs includes a preceding subgraph and a succeeding subgraph. The data processing system also includes data flow logic, operatively coupled to the reconfigurable processors and the memory, configured to store a tiled output of the preceding subgraph as a composed input in the memory and make available parts of the composed input for processing by the succeeding subgraph.

Abstract: Systems, methods, and apparatuses for providing dynamic, prioritized spectrum utilization management. The system includes at least one monitoring sensor, at least one data analysis engine, at least one application, a semantic engine, a programmable rules and policy editor, a tip and cue server, and/or a control panel. The tip and cue server is operable utilize the environmental awareness from the data processed by the at least one data analysis engine in combination with additional information to create actionable data.

Abstract: A system is provided that publishes a disparate live media output stream that complies with distribution format regulations. The system generates an updated schedule based on a low-latency preview of a live input stream. The system further generates a disparate live media output stream manifest based on manipulation of manifests of the live input stream and a pre-encoded media asset based on the updated schedule.

Abstract: Systems, methods, and apparatuses for providing dynamic, prioritized spectrum utilization management. The system includes at least one monitoring sensor, at least one data analysis engine, at least one application, a semantic engine, a programmable rules and policy editor, a tip and cue server, and/or a control panel. The tip and cue server is operable utilize the environmental awareness from the data processed by the at least one data analysis engine in combination with additional information to create actionable data.

Abstract: A system and method of deployment of malware detection traps by at least one processor may include performing a first interrogation of a first Network Asset (NA) of a specific NA family; determining, based on the interrogation, a value of one or more first NA property data elements of the first NA; obtaining one or more second NA property data elements corresponding to the specific NA family; integrating the one or more first NA property data elements and the one or more second NA property data elements to generate a template data element, corresponding to the specific NA family; producing, from the template data element, a malware detection trap module; and deploying, on one or more computing devices of a computer network, one or more instantiations of the malware detection trap module as decoys of the first NA.