Abstract: This disclosure relates to industrial data services, data modeling and applications for controlling an industrial operation. In one implementation, a platform is disclosed for allocating a data modeling request to a collaborative group of experts based on a two-dimensional data modeling flow data structure and a multilayer resource allocation graph to obtain a data model for controlling the industrial operation. The two-dimensional data modeling flow data structure and the multilayer resource allocation graph are established from an industrial graph knowledgebase using various data analytics and machine learning techniques.

Abstract: Cash handling device simulation systems and methods store real-time updated data indicative of the operating software, hardware, and firmware of each of a plurality of physical cash handling devices. Such real-time updated data is configured for executing a simulated operation of one or more cash handling devices based at least in part on simulation input data. The simulation input data may additionally identify one or more cash handling devices for simulated operation thereof, such that the simulation system generates simulated output reflecting output generated by the one or more cash handling devices during operation thereof.

Abstract: Described embodiments provide systems and methods for stateless modification of operating system registry data across network boundaries. The system includes a processor coupled to memory and configured to execute instructions to receive, within a first network, a request to apply a modification to an operating system registry of a second device within a second network different from the first network. The processor queues data describing the requested modification, receives a polling request from the second device, and transmits, to the second device responsive to the polling request, the queued data describing the requested modification for the second device to apply to the operating system registry of the second device. For example, the requested modification may be to create a key, to create a value, to delete a key, or to delete a value.

Abstract: A learning device includes an input processor and a learning processor. The input processor acquires a physical quantity related to a cutting process, and inputs a state variable based on the physical quantity to the learning processor, and the learning processor updates, based on a measured cutting result, an evaluation model that outputs an evaluation result of the cutting process based on the state variable.

Abstract: Energy and demand costs reduction method through management of an entity load using an energy storage system; simulating the entity load including using predictive analytics; or receiving user inputs of an event schedule impacting entity load; performing optimization at start of billing cycle including establishing a demand reduction target achievable with an energy storage system device implemented; setting a periodic schedule for energy storage system discharge and allocating a portion of energy storage capacity to a reserve to be used in event of volatility in entity load; determining any unused capacity of the energy storage system at an end of a period, and responsive to the determining, redistributing any unused capacity to a remaining period of the schedule; and resetting the demand reduction target for each time-of-use period to what was achieved previously for the same billing period.

Abstract: A coding information extractor disclosed herein uses machine learning approach to extract coding information from documents. An implementation of the coding information extractor is implemented using various computer process instructions including scanning a document to generate a plurality of tokens, determining one or more features of the plurality of tokens using term frequency (TF), inverse document frequency (IDF), and code type similarity features, and determining field type, field name, and field value of the one or more of the tokens using named entity recognition (NER).

Abstract: A laminating and shaping apparatus includes a laser radiation unit configured to radiate a laser to a powder layer and form sintered sections, an imaging unit configured to image the sintered sections, a calculation device configured to calculate actual laser radiation positions from positions of the sintered sections and calculate a positional deviation of the laser radiation position at each of the sintered sections, and a correction device configured to correct the actual laser radiation position of each of the sintered sections to a target laser radiation position. The laser radiation unit forms sintered sections to surround the irradiation region by performing laser radiation on places including outermost positions in the irradiation region, and as the recoater head is moved in the horizontal uniaxial direction after imaging of the plurality of sintered sections by the imaging unit, at least a plurality of sintered sections are removed from the irradiation region.

Abstract: A report repository may store report results, and a web intelligence report server may include an SDK component to manage sessions, states, security, and resource access and to receive web intelligence data model authoring information, associated with a document, via an authoring API. The web intelligence report server may further include data sources associated with a plurality of data source types and data access associated with a plurality of data layers. A compound database platform of an in-memory database may create a report result via a data flow merge operation that combines multiple data sources into a single data source, based on the web intelligence data model authoring information, the data sources, and the data access. The report result may be stored in the report repository, and the web intelligence data model may be associated with a Web intelligence document as a data Source (“WaaS”) reusable in other documents.

Abstract: Methods, systems, and computer readable media for testing and modeling the beamforming capabilities of a device under test (DUT) are disclosed. The method includes receiving, from a DUT, system information that correlates a plurality of resources to a plurality of synchronization system (SS) blocks transmitted by the DUT and receiving, from the DUT, the plurality of SS blocks. In response to receiving the plurality of SS blocks, the method further includes sending a random access procedure (RACH) message from an emulated user equipment to the DUT via a resource that is correlated per the system information to a predefined SS block that is specified in a beam model. The method also includes analyzing a beam switch indication message sent by the DUT to confirm that the DUT has restricted communication to the emulated user equipment via a beam signal corresponding to the predefined SS block.

Abstract: A request to perform a workflow is received. A first instance is caused to be instantiated to perform a first portion of the workflow. First information and a handle associated with a second snapshot is received from the first instance. The first information is processed to produce a first result. A second instance is caused to be instantiated based on the handle to perform a second portion of the workflow. Second information is received from the second instance. The second information is processed to produce a second result, and an operation is performed dependent at least on the first result or the second result.

Abstract: An additive manufacturing device includes a build platform. A recoater is operatively connected to the build platform to move relative to the build platform to coat unfused powder onto a build on the build platform. The recoater includes a recoater mount defining a length-wise receptacle therein, and a recoater blade seated in the receptacle. A blade reel system is operatively connected to the recoater to replace the recoater blade in the receptacle during a build on the build platform.

Abstract: A building system of a building including one or more memory devices having instructions thereon, that, when executed by one or more processors, cause the one or more processors to identify a capability of an entity in a building graph, the building graph including a plurality of nodes and a plurality of edges, the plurality of nodes representing entities of the building including the entity and the capability, the plurality of edges representing relationships between the entities of the building and the capability. The instructions cause the one or more processors to receive a command to perform an operation associated with the entity, the operation associated with the capability of the entity and provide the command to perform the operation associated with the entity to an operating system.

Abstract: The present invention relates to a learning engine function and the use thereof in a system using a suite of modular and clearly structured Artificial Intelligence application design tools (SOACAIA), executable on distributed or undistributed computing platforms to browse, develop, make available and manage AI applications, this set of tools implementing four functions: A Studio function; A Forge function; An Orchestrator function; A fast machine learning engine FMLE (FastML Engine) function.

Abstract: Systems and methods for a hybrid system-on-chip usable for predicting performance and power requirements of a host server include a big cores module, including central processing units, for receiving and pre-processing performance and power metrics data of the host server and to allocate computing resources, a small cores module, including massively parallel processing units, for mapping each instance associated with host server in the performance and power metrics data to a corresponding massively parallel processing unit based on the allocated computing resources for a per-instance metrics calculation, and an artificial intelligence (AI) accelerator for calculating performance and power prediction results based on the per-instance calculations from the small cores module.

Abstract: A communication module may be used in an information handling system comprising an air mover configured to drive a flow of air and a processing component communicatively coupled to the air mover for controlling operation of the air mover via a first wire configured to communicate air mover speed commands from the processing component to the air mover for controlling a speed of the air mover and a second wire configured to communicate tachometer information from the air mover to the processing component. The communication module may include a connector other than an air mover connector configured to couple the air mover to the first and second wire and logic configured to monitor for an escape sequence communicated via first wire from the processing component to enter a command mode and responsive to detecting the escape sequence, communicating information regarding the air mover to the processing component via second wire.

Abstract: An apparatus may include an enclosure that includes a plurality of mounting features that are configured to receive information handling systems; one or more environmental sensors configured to determine environmental conditions associated with the enclosure; a position sensor configured to determine a geodetic location of the enclosure; a heater configured to heat the enclosure; and a heater control system. The heater control system may be configured to: receive information regarding an origin for the enclosure, a destination for the enclosure, and a desired destination temperature for the enclosure; establish a model for the enclosure, wherein the model incorporates data from the one or more environmental sensors and data from the position sensor; and based on the model, predictively determining control parameters for the heater configured to cause the enclosure to reach the desired destination temperature at or before a time of arrival at the destination.

Abstract: Methods, systems, and non-transitory computer readable medium are described for prescriptive analytics in highly collinear response space. A method includes receiving film property data associated with manufacturing parameters of manufacturing equipment. The method further includes determining that the film property data is correlated and is different from target data. The method further includes selecting a set of data points of the film property data that are orthogonal to the target data. The method further includes performing feature extraction on the set of data points. The method further includes determining, based on the feature extraction, updates to one or more of the manufacturing parameters to meet the target data.

Abstract: A method, system and computer program product are disclosed for reducing the memory load time for logic simulator. In an embodiment, the method comprises identifying a memory for a program, and selectively loading onto a logic simulator parts of the memory that are pre-determined as parts of the memory that will be accessed by the program when the program is executed on the simulator. In an embodiment, the selectively loading onto a logic simulator parts of the memory includes pre-determining subsets of the memory that will be accessed by the program when the program is executed on the simulator, and loading the pre-determined subsets of the memory on the simulator. In an embodiment, the pre-determining subsets of the memory includes using addresses of the memory that are accessed by the program when the program is executed on a computer system, to create the pre-determined subsets of the memory.

Abstract: Aspects of the disclosure relate to classifying a target object. An electronic device may transmit a detection signal and receive a reflection signal reflected from the target object. The electronic device then determines, based on one or more features of the reflection signal, a category of the target object and adjusts at least one transmission parameter based on the category. The electronic device then transmits an adjust signal using the transmission parameter. Other aspects, embodiments, and features are also claimed and described.

Abstract: A procedure for changing, in particular for updating a control program of an input/output module (I/O module), wherein the I/O module is attached side-by-side to a head station of a modular fieldbus node, said procedure comprising transferring data describing the change from the head station via a local bus to the I/O module, wherein the local bus connects the head station to the I/O module, checking the compatibility of the I/O module with the change by the I/O module, and transferring feedback, based on the checked compatibility of the I/O module, from the I/O module via the local bus to the head station; a correspondingly configured I/O module is also presented.