Abstract:
In response to detecting a failure on a secondary storage device, a transmission of a data write request to the primary storage device is suspended. Identifying an outstanding data write request, wherein the outstanding data write request has been performed by the primary storage device, but has not been performed by a disaster recovery (DR) storage device. Instructing the DR storage device to update data on the DR storage device according to the identified outstanding data write request. Setting the primary storage device to enable the primary storage device to forward a subsequently received data write request to the DR storage device. And restoring the transmission of the data write requests to the primary storage device.
Abstract:
A method and apparatus are disclosed for inferring a travel path in a public transportation system. The apparatus comprises: a single-line origin-destination (OD) inferring device configured to infer from boarding data of a bus line a passenger alighting stop on the line as an inferred passenger alighting stop according to historical data, wherein the boarding data comprises a passenger boarding stop during a predetermined time period and a number of boarding passengers at the stop. A transfer line inferring device is configured to infer a passenger transfer line as an inferred passenger transfer line according to the boarding data and the inferred passenger alighting stop obtained by the single-line OD inferring means.
Abstract:
A method of determining maintenance sections of a rail includes partitioning the rail into a plurality of sections based on railway topographical information and track defect information; identifying, from the plurality of sections, sections whose sectional speed limits are lower than a recommended running speed; and determining, from the identified sections, sections which need maintenance.
Abstract:
Described aspects include a system for optimizing performance of a functional circuit unit, a method of optimizing performance of a functional circuit unit, and a computer program product. In one embodiment, the system may include a functional circuit unit having an associated cooling device and power converter, one or more sensors for the functional circuit unit, the one or more sensors including a power sensor and a temperature sensor, and a first machine learning model. The first machine learning model may be adapted to receive temperature data and power data from the one or more sensors, and to generate control signals for the cooling device and the power converter to optimize performance of the functional circuit unit.
Abstract:
A method for power saving and encryption during analysis of media captured by an information capture device using a partitioned neural network includes replicating, by an information capture device, an artificial neural network (ANN) from a computer server to the information capture device. The ANN on the computer server and a replicated ANN, both, include M layers. The method further includes, in response to captured data being input to be processed, partially processing, by the information capture device, the captured data by executing a first k layers using the replicated ANN, wherein only the k layers are selected to execute on the information capture device. The method further includes transmitting, by the information capture device, an output of the k-th layer to the computer server, which partially processes the captured data by executing the remainder of the M layers using the ANN and the output of the k-th layer.
Abstract:
A method, system, and computer program product for circuit design automation. The method identifies a set of circuit components for a proposed circuit design. A subset of circuit components is selected to generate an initial topology for the proposed circuit design. A set of subsequent topologies are iteratively generated by a heuristic search algorithm based on the subset of circuit components and the initial topology. A set of valid topologies of the set of subsequent topologies are determined by a circuit simulator based on the subset of circuit components and a set of connections within the set of subsequent topologies. The method generates the proposed circuit design from the set of valid topologies.
Abstract:
Methods and systems for controlling current consumption by an electrical load of a first circuit board are described. In an example, a device of a first circuit board can measure a current being drawn by the electrical load of the first circuit board from a second circuit board. The device can generate a control signal based on a current difference between the measured current and a target current. The control signal can represent a load control parameter. The device can apply the control signal to the electrical load of the first circuit board to adjust a current consumption by the electrical load.
Abstract:
Methods and systems for controlling current consumption by an electrical load of a first circuit board are described. In an example, a device of a first circuit board can measure a current being drawn by the electrical load of the first circuit board from a second circuit board. The device can generate a control signal based on a current difference between the measured current and a target current. The control signal can represent a load control parameter. The device can apply the control signal to the electrical load of the first circuit board to adjust a current consumption by the electrical load.
Abstract:
The semiconductor structure includes a semiconductor-on-insulator (SOI) substrate. A group III nitride transistor is formed in a trench in the SOI substrate. The activation of the group III nitride transistor is controlled by a silicon-based transistor. The silicon-based transistor that includes a portion of a silicon layer of the SOI substrate. A group III nitride transistor device is adjacent to the silicon-based transistor.
Abstract:
A method for power saving and encryption during analysis of media captured by an information capture device using a partitioned neural network includes replicating, by an information capture device, an artificial neural network (ANN) from a computer server to the information capture device. The ANN on the computer server and a replicated ANN, both, include M layers. The method further includes, in response to captured data being input to be processed, partially processing, by the information capture device, the captured data by executing a first k layers using the replicated ANN, wherein only the k layers are selected to execute on the information capture device. The method further includes transmitting, by the information capture device, an output of the k-th layer to the computer server, which partially processes the captured data by executing the remainder of the M layers using the ANN and the output of the k-th layer.