Abstract: An electrical substation that transforms AC voltage to DC voltage is configurable between a current-source mode for charging batteries of a stationary work machine and a voltage-source mode for powering motors of a moving work machine. The substation receives medium-voltage AC power from a grid and includes a pair of DC power converters each formed from three-phase transformers and a single stage of silicon-controlled rectifier units. Adjustable connectors enable combining the power converters in parallel or keeping them separate to operate in the current-source mode for charging the machine batteries with up to 4800 ADC at 6 MW or for providing up to 1500 VDC in powering voltage. The connectors further enable combining the power converters in series to operate in the voltage-source mode for powering the machine motors with up to 3000 VDC at 6 MW.

Abstract: Embodiments of the present disclosure provide a method for parameter imaging. The method includes: obtaining two scan images of an object, wherein scanning ranges of the two scan images have an overlapping region; obtaining frame information by framing the two scan images or two sets of scan data corresponding to the two scan images, wherein the overlapping region in the two scan images corresponds to two frames; and determining metabolic information of a tracer inside the object based on the frame information.

Abstract: Rendering workload management techniques in an information processing system are disclosed. For example, a method comprises obtaining one or more rendering workloads from a client, and automatically managing execution of the one or more rendering workloads in accordance with at least a subset of resources of a plurality of computing platforms, wherein the plurality of computing platforms comprises at least one client computing platform and at least one cloud computing platform.

Abstract: An energy transfer system, including a configurable energy transfer interface, a plurality of sets of inverters, and a three-winding transformer, is disclosed. The configurable energy transfer interface includes a plurality of switches coupled DC voltage outputs of the plurality of sets of inverters. The plurality of switches is capable of connecting the DC voltage outputs of the plurality of sets of inverters to provide a first DC output voltage and a second DC output voltage for charging batteries of a work machine. The plurality of switches is also capable of connecting the DC voltage outputs of the plurality of sets of inverters in series to provide to provide high DC voltage output for operating the work machine.

Abstract: The present disclosure relates to a deformable anchor cable. The anchor cable includes an outer sleeve, a shrinkage pipe, an inner sleeve, a steel strand, an anchor and a tray. When the anchor cable is in use, a hole is drilled first, then the anchor cable is mounted in the drilled hole, and finally a prestress is applied to the steel strand of the anchor cable.

Abstract: A data communication network includes a data communication node and an imaging device. The data communication node establishes a data connection with a user equipment device. The imaging device provides image information for a coverage area associated with the data communication node. An information handling system receives the image information, synthesizes a three-dimensional (3D) map of the coverage area based upon the image information, receives first coverage information from the first data communication node, correlates the first coverage information with the 3D map to generate a coverage map of the coverage area, determines that no user equipment devices are located within the coverage map based on the image information, and directs the first data communication node to enter a low power mode based upon the determination that no user equipment devices are located within the coverage map.

Abstract: A camera module includes a base frame, a photosensitive chip, a first substrate, a first driving mechanism, a first guide post, a second substrate, a second guide post, and a second driving mechanism. The first guide post is disposed on the base frame, the first substrate is movably connected to the first guide post and is capable of moving along an extension direction of the first guide post; the photosensitive chip is disposed on the second substrate, the second guide post is disposed on the first substrate, the second substrate is movably connected to the first guide post, and the second substrate moves along an extension direction of the second guide post; the first driving mechanism includes a first driving motor, and the first driving motor is disposed on the base frame and is connected to the first substrate; and the second driving mechanism includes a second driving motor.

Abstract: The present application provides a processing method and device of a hematoma aspiration decision-making system for intracerebral hemorrhage. A two-layer deep neural network is constructed for processing of a hematoma aspiration protocol, and a perception-decision-making-control method based on a time series is thus realized, which overcomes unpredictability of results of hematoma aspiration processes existing in the prior art, provides direct and convenient information transmission for surgeons to make decisions, can effectively improve the accuracy of aspiration treatment protocols for intracerebral hematoma, and provides digital, intelligent, and powerful support for clinical hematoma aspiration treatments.

Abstract: A data communication network includes a data communication node, an imaging device, and an information handling system. The data communication node establishes a data connection with a user equipment device. The imaging device provides image information for a coverage area associated with the data communication node. The information handling system is coupled to the data communication node and to the imaging device. The information handling system receives the image information, synthesizes a 3D map of the coverage area based upon the image information, receives first coverage information from the first data communication node, correlates the first coverage information with the 3D map to generate a coverage map of the coverage area, and determines a first location of the first user equipment device within the coverage map based on the image information.

Abstract: The present application provides a processing method and device of a hematoma aspiration decision-making system for intracerebral hemorrhage. A two-layer deep neural network is constructed for processing of a hematoma aspiration protocol, and a perception-decision-making-control method based on a time series is thus realized, which overcomes unpredictability of results of hematoma aspiration processes existing in the prior art, provides direct and convenient information transmission for surgeons to make decisions, can effectively improve the accuracy of aspiration treatment protocols for intracerebral hematoma, and provides digital, intelligent, and powerful support for clinical hematoma aspiration treatments.

Abstract: Rendering workload management techniques in an information processing system are disclosed. For example, a method includes obtaining one or more rendering workloads from a client, and automatically managing execution of the one or more rendering workloads in accordance with at least a subset of resources of a plurality of computing platforms, wherein the plurality of computing platforms comprises at least one client computing platform and at least one cloud computing platform. The step of automatic execution management includes computing estimations that consider a resource utilization associated with at least one adjustment to a resolution of at least a portion of at least one rendering workload to assist a client in selecting from one or more of a plurality of candidate execution plans.

Abstract: Rendering workload management techniques in an information processing system are disclosed. For example, a method includes obtaining one or more rendering workloads from a client, and automatically managing execution of the one or more rendering workloads in accordance with at least a subset of resources of a plurality of computing platforms, wherein the plurality of computing platforms comprises at least one client computing platform and at least one cloud computing platform. The step of automatic execution management includes computing estimations to assist a client in selecting from one or more of a plurality of candidate execution plans. The candidate execution plans are generated based on execution criteria for the one or more rendering workloads. At least one value of the execution criteria is generated by at least one language model based on an input from the client.

Abstract: Rendering workload management techniques in an information processing system are disclosed. For example, a method includes obtaining one or more rendering workloads from a client, and automatically managing execution of the one or more rendering workloads in accordance with at least a subset of resources of a plurality of computing platforms, wherein the plurality of computing platforms comprises at least one client computing platform and at least one cloud computing platform. The step of automatic execution management includes computing estimations that consider a resource utilization associated with at least one adjustment to a resolution of one or more identified regions of at least one rendering workload to assist a client in selecting from one or more of a plurality of candidate execution plans.

Abstract: Rendering workload management techniques in an information processing system are disclosed. For example, a method includes obtaining one or more rendering workloads from a client, and automatically managing execution of the one or more rendering workloads in accordance with at least a subset of resources of a plurality of computing platforms, wherein the plurality of computing platforms comprises at least one client computing platform and at least one cloud computing platform. The step of automatic execution management includes computing estimations that consider a resource utilization associated with embedding at least one digital watermark in at least a portion of at least one rendering workload to assist a client in selecting from one or more of a plurality of candidate execution plans.

Abstract: Rendering workload management techniques in an information processing system are disclosed. For example, a method includes obtaining one or more rendering workloads from a client, and automatically managing execution of the one or more rendering workloads in accordance with at least a subset of resources of a plurality of computing platforms, wherein the plurality of computing platforms comprises at least one client computing platform and at least one cloud computing platform. The step of automatic execution management includes performing a compliance evaluation operation corresponding to at least one compliance attribute associated with execution of the one or more rendering workloads to assist a client in selecting from one or more of a plurality of candidate execution plans.

Abstract: Rendering workload management techniques in an information processing system are disclosed. For example, a method includes obtaining one or more rendering workloads from a client, and automatically managing execution of the one or more rendering workloads in accordance with at least a subset of resources of a plurality of computing platforms, wherein the plurality of computing platforms comprises at least one client computing platform and at least one cloud computing platform. The step of automatic execution management includes performing a security evaluation operation corresponding to at least one security attribute associated with execution of the one or more rendering workloads to assist a client in selecting from one or more of a plurality of candidate execution plans.

Abstract: Rendering workload management techniques in an information processing system are disclosed. For example, a method includes obtaining one or more rendering workloads from a client, and automatically managing execution of the one or more rendering workloads in accordance with at least a subset of resources of a plurality of computing platforms, wherein the plurality of computing platforms comprises at least one client computing platform and at least one cloud computing platform. The step of automatic execution management includes computing energy consumption estimations, using at least one carbon footprint computation algorithm, to assist a client in selecting from one or more of a plurality of candidate execution plans.

Abstract: Rendering workload management techniques in an information processing system are disclosed. For example, a method includes obtaining one or more rendering workloads from a client, and automatically managing execution of the one or more rendering workloads in accordance with at least a subset of resources of a plurality of computing platforms, wherein the plurality of computing platforms comprises at least one client computing platform and at least one cloud computing platform. The step of automatic execution management includes computing estimations, using at least one machine learning algorithm, to assist a client in selecting from one or more of a plurality of candidate execution plans.

Abstract: A model and query system for local inferencing and/or training. A model and query server (MQS) includes a model manager and a cache manager. The model manager is configured to manage deployment of models to clients in the local network, execute queries at the server, control models cached, and manage workload execution. The cache manager is configured to manage a cache of models. The model and query system is configured to orchestrate or manage query execution, which includes inferencing operations, at a local level.