Methods, systems, and apparatus, including computer programs encoded on computer storage media, for receiving, by a computational graph system, a request to process a computational graph; obtaining data representing a subgraph of the computational graph, the computational graph comprising a plurality of nodes and directed edges, wherein each node represents a respective operation, wherein each directed edge connects a respective first node to a respective second node, the subgraph assigned to a first device by a placer in the computational graph system; determining that the first device comprises a hardware accelerator having a plurality of streams; in response to determining, generating instructions that when executed by the first device cause the first device to: assign the operation represented by each node in the subgraph to a respective stream; and perform the operations represented by the nodes in the subgraph in accordance with the assignment.

The power consumption of an analog arithmetic circuit is reduced. The analog arithmetic circuit includes a plurality of first circuits. An output terminal of the k-th (k is a natural number) first circuit is connected to an input terminal of the k+1-th first circuit. Each of the first circuits includes a memory circuit which holds an analog signal, a second circuit which performs arithmetic processing using the analog signal, a switch which controls power supply to the second circuit, and a controller. The conduction state of the switch included in the k-th first circuit is controlled by the controller included in the k+1-th first circuit. The arithmetic processing performed by the second circuit included in the k+1-th first circuit is started by the controller included in the k+1-th first circuit.

The power consumption of an analog arithmetic circuit is reduced. The analog arithmetic circuit includes a plurality of first circuits. An output terminal of the k-th (k is a natural number) first circuit is connected to an input terminal of the k+1-th first circuit. Each of the first circuits includes a memory circuit which holds an analog signal, a second circuit which performs arithmetic processing using the analog signal, a switch which controls power supply to the second circuit, and a controller. The conduction state of the switch included in the k-th first circuit is controlled by the controller included in the k+1-th first circuit. The arithmetic processing performed by the second circuit included in the k+1-th first circuit is started by the controller included in the k+1-th first circuit.

A vehicle theft-prevention apparatus can include a wireless transceiver, a plurality of sensors configured to sense measurements proximate to a vehicle, and at least one computing device coupled to the plurality of sensors and the wireless transceiver. The at least one computing device can be configured to read a plurality of measurements of the plurality of sensors and determine that at least one event has occurred based on the plurality of measurements. The at least one computing device can store data corresponding to the at least one event on a local storage coupled to the at least one computing device and can transmit, via the wireless transceiver, the data corresponding to the at least one event to a remote service.

A multiple imputation (MI) based fuzzy clustering with visualization-aided MI validation that improves the accuracy and the stability of identified patterns, generally the structure of HD data with missing values.

An aircraft is provided and includes an airframe, an extending tail, a counter rotating, coaxial main rotor assembly including an upper rotor assembly and a lower rotor assembly, a translational thrust system positioned at the extending tail, the translational thrust system providing translational thrust to the airframe, at least one sensor and at least one inertial measurement unit (IMU) to sense current flight conditions of the aircraft, an interface to execute controls of a main rotor assembly in accordance with control commands and at least one flight control computer (FCC) to issue the control commands. The at least one FCC includes a central processing unit (CPU) and a memory having logic and executable instructions stored thereon, which, when executed, cause the CPU to issue the control commands based on the current flight conditions and a result of an execution of the logic for the current flight conditions.

The present application discloses a data processing method and apparatus. A specific implementation of the method includes: receiving floating point data sent from an electronic device; converting the received floating point data into fixed point data according to a data length and a value range of the received floating point data; performing calculation on the obtained fixed point data according to a preset algorithm to obtain result data in a fixed point form; and converting the obtained result data in the fixed point form into result data in a floating point form and sending the result data in the floating point form to the electronic device. This implementation improves the data processing efficiency.

A technique enables horizontal measurement of the airspeed of a low-speed flight vehicle. An airspeed measurement system is for a low-speed flight vehicle, and includes a flow sensor that measures an airspeed along at least two axes in a horizontal direction during flight of the low-speed flight vehicle.

An anomaly detection module is configured to apply a plurality of machine learning models to received technical status data to detect one or more indicators of an abnormal technical status prevailing in the industrial process system. The plurality of machine learning models are trained on historic raw or pre-processed sensor data and the anomaly detection module configured to generate the anomaly alert based on the one or more indicators. The received technical status data is assigned to signal groups and the generated anomaly alert is a vector with each vector element representing a group anomaly indicator for the respective signal group. Each vector element is determined by applying a respective group specific machine learning model.

An energy regeneration device which can regenerate energy of a working fluid discharged from an actuator while controlling a flow rate of the working fluid, and a work machine including the device. The regeneration device includes a boom cylinder, an inertial fluid container, an oil tank, an accumulator, a low-pressure-side opening/closing device, and a high-pressure-side opening/closing device. A calculation unit calculates an opening area of each of the low-pressure-side opening/closing device and the high-pressure-side opening/closing device in accordance with a desired flow rate of a hydraulic fluid discharged from the boom cylinder. A regeneration control unit adjusts an opening area of each of the low-pressure-side opening/closing device and the high-pressure-side opening/closing device, and selects alternately the low-pressure-side opening/closing device and the high-pressure-side opening/closing device as a destination with which the inertial fluid container communicates, to supply a discharged hydraulic fluid to an accumulator.