14 results about "Power dissipation minimization" patented technology

Methods and systems for managing a data processing system are disclosed. To manage the data processing system, a workload request may be obtained, and a type of the workload may be identified. Based on the type of the workload, an optimized frequency for a hardware component to perform the workload and a power overhead for configuring the hardware component based on the optimized frequency may be obtained. A first power consumption estimate may be obtained for performing the workload during an available time slot, and configuring the hardware component based on the optimized frequency. A second power consumption estimate may be obtained for performing the workload without configuring the hardware component. A preferred configuration for the available time slot to minimize power consumption may be identified. A data processing system and a time slot for performance of the workload may be selected in which the power consumption estimate is lowest.

The present invention relates to an eccentric conical head gradient coil and its design method, including: setting the structure and size of the conical coil, discretizing the current-carrying surface of the conical coil structure into a grid composed of triangles, and calculating the current basis functions of the nodes of each triangle; moving the imaging region a set distance towards the coil inlet end, selecting the magnetic field sampling points in the imaging region, and calculating the target magnetic field values at the magnetic field sampling points; expressing the magnetic field component in the Z direction at the magnetic field sampling points with the node stream function values and the current basis functions; combining the target magnetic field values at the magnetic field sampling points and the magnetic field component in the Z direction, constructing an optimization problem with the minimization of the coil power consumption as the optimization objective and the linearity of the magnetic field in the imaging region as the constraint condition; solving the optimization problem to obtain the stream function distribution of the coil; and using the stream function method to discretize the wire to obtain the winding distribution of the coil. The present invention has the advantages of higher current efficiency, greater openness, and the ability to reduce the local hot spot temperature, etc.

The present invention relates to a method for minimizing energy consumption of a RIS-assisted communication system, which belongs to the field of B5G cellular communications. Taking into account user communication rate constraints and RIS discrete phase shift constraints, and with minimizing total system power consumption as the optimization goal, a system model is established for a RIS-assisted multi-user multi-input single-output communication system with hardware damage; the original problem is transformed into an equivalent convex optimization problem using the S process and the successive convex approximation method; and the convex optimization problem is solved based on a semidefinite relaxation method and an alternating optimization algorithm. The present invention can ensure good robustness and reduce base station transmission power. The deployment of RIS effectively alleviates the impact of channel uncertainty and non-ideal hardware, and is suitable for actual communication scenarios where the transceiver has hardware damage such as I / Q imbalance and amplifier nonlinearity.

The present invention proposes a timing controller capable of minimizing power consumption during a blank period by disabling the operation of a corresponding functional block or a memory device included in the corresponding block during the blank period. The timing controller comprises: a blank period detection circuit for generating a blank period detection signal by using a clock signal and a gate drive signal; and a functional block group comprising a plurality of functional blocks carrying out operations in accordance with a display period and a blank period in response to the gate driving signal, a data driving signal, and the blank period detection signal.

Techniques for reducing power consumption by fetal ultrasound transducers are provided. In an example, a fetal sensor device (FSD) comprising a processor, controls operations an ultrasound transducer of the FSD in accordance with a power optimization protocol that results in minimizing power consumption by the FSD, wherein the ultrasound transducer is configured to measure one or more fetal parameters of a fetus using doppler based ultrasound technology, wherein the FSD operates in an active mode that comprises alternating between transmit periods wherein the ultrasound transducer transmits ultrasound signals, and receive periods wherein the ultrasound transducer measures reflected signals of the ultrasound signals that are received by the ultrasound transducer during the receive periods, and wherein the controlling comprises controlling a transmission power of the ultrasound signals and / or a duration of the transmit periods during the active mode in accordance with the power optimization protocol.

The invention discloses a high-energy-efficiency joint control method and system for an air compression station. The method comprises the following steps that working condition data of all screw air compressors in the air compression station under different exhaust pressures are stored in a database of a controller; the controller records the post-processing equipment pressure difference of each screw air compressor; according to the pressure difference of the post-processing equipment, the controller calculates the actual exhaust pressure required by each screw air compressor; whether each screw air compressor is in a fault state or not is monitored in real time, and if yes, the screw air compressors in the fault state are excluded from the control queue; the screw air compressor with the highest priority is firstly started, and the operation number of the screw air compressors is dynamically adjusted according to the pressure of the header pipe after ts seconds; the pipe network flow demand range is calculated under the steady-state working condition, total power consumption minimization serves as a target function, and under the set constraint condition, the controller determines the optimal operation scheme through an enumeration algorithm traversing the screw air compressor combination. According to the invention, efficient joint control of the screw air compressor can be realized.

The present invention proposes a timing controller capable of minimizing power consumption during a blank period by disabling an operation of a memory device included in a corresponding functional block or a corresponding block during the blank period. The timing controller includes: a blank period detection circuit that generates a blank period detection signal by using a clock signal and a gate drive signal; and a functional block group including a plurality of functional blocks that operate according to the display period and the blank period in response to the gate driving signal, the data driving signal, and the blank period detection signal.

It discloses a communication system design method based on an intelligent omni-surface, comprising step 1: constructing an optimization problem by minimizing a total power consumption of the communication system as an objective function, the communication system being a communication system based on an intelligent omni-surface; step 2: setting a constraint condition for the optimization problem constructed in the step 1, the constraint condition comprising a minimum rate constraint of a user, a phase shift constraint of the intelligent omni-surface and a length constraint of an allocated time slot; and step 3: solving the optimization problem after setting with the constraint condition to obtain solution for minimizing the total power consumption of the system. When lowest rate requirements of all users are met, the method reduces the total power consumption of the system and realizes omnidirectional coverage of a communication area, and has a good application value.

The present invention discloses a heat dissipation method and system for a microfluidic chip based on a reinforcement learning algorithm. The method of the present invention includes the following steps: S1, obtaining relevant parameters of the on-chip network and initializing the cooling rate in the microfluidic channel; S2, interacting the algorithm with the reinforcement learning environment and iteratively training the algorithm through the reinforcement learning algorithm; S3, taking the minimization of the power consumption within the normal operating temperature range of the chip as the optimization goal, testing the actual effect of the reinforcement learning algorithm, and updating the parameters according to the test results. The system of the present invention corresponds to the above method. The present invention can make the highest temperature of each layer of the chip as close as possible to their respective ideal temperatures, and while meeting the temperature constraints, intelligently save the power consumption of the pump and reduce the energy consumption cost of the microfluidic system; in addition, the present invention can prevent the thermal deformation caused by uneven heat distribution of the chip and the negative impacts on its performance, life, etc. caused by too high temperature.

The application discloses an energy consumption intelligent management system and method for a regional anti-interference device, relates to the technical field of equipment energy consumption management, and collects bird repelling full cycle data to establish a history database; identifies over-protection and under-protection events, calculates redundant energy consumption, and constructs exclusion constraint conditions; based on the energy efficiency maximization and total power consumption minimization objectives, a mapping function of bird group first characteristic parameters, working power and working time length is established and is constrained by an under-protection boundary; bird group characteristics are collected in real time, and optimal control parameters are matched and pushed according to the mapping function, and closed-loop feedback control is realized by monitoring second characteristic parameters. The application quantitatively evaluates energy consumption events and constructs a dynamic mapping model, realizes fine energy efficiency management, significantly reduces energy consumption while ensuring a high protection success rate, and improves the endurance and adaptive decision-making ability of the device.

Techniques for reducing power consumption by fetal ultrasound transducers are provided. In an example, a fetal sensor device (FSD) comprising a processor, controls operations an ultrasound transducer of the FSD in accordance with a power optimization protocol that results in minimizing power consumption by the FSD, wherein the ultrasound transducer is configured to measure one or more fetal parameters of a fetus using doppler based ultrasound technology, wherein the FSD operates in an active mode that comprises alternating between transmit periods wherein the ultrasound transducer transmits ultrasound signals, and receive periods wherein the ultrasound transducer measures reflected signals of the ultrasound signals that are received by the ultrasound transducer during the receive periods, and wherein the controlling comprises controlling a transmission power of the ultrasound signals and / or a duration of the transmit periods during the active mode in accordance with the power optimization protocol.

A method and apparatus for power and thermal management for multiple processing cores are disclosed. Existing dynamic voltage and frequency scaling (DVFS) approaches typically perform localized management for individual cores, such as a central processing unit (CPU) or a graphics processing unit (GPU), resulting in suboptimal overall power consumption and thermal throttling. The disclosed energy manager addresses this by performing energy management across at least two computing cores executing a hybrid workload with a shared execution deadline. The energy manager acquires historical performance data to predict the execution time and total power consumption for a plurality of voltage and frequency combinations. An optimal combination is selected that minimizes the total predicted power consumption while meeting the deadline. The system further determines a thermal constraint, such as a thermal power budget, and restricts the available voltage and frequency combinations, ensuring continuous operation within safe thermal limits while improving power efficiency.

The invention provides an ARIS-SR system power consumption optimization method based on RSMA. The ARIS-SR system power consumption optimization method comprises the steps that a multi-user ARIS-SR system model is constructed; a main transmitter of the multi-user ARIS-SR system model transmits signals to a plurality of main receivers through an RSMA scheme; based on the multi-user ARIS-SR system model, constructing a target function with the minimization of the overall power consumption of the system as a core optimization target, and forming a mathematical optimization model oriented to the power consumption optimization of the multi-user ARIS-SR system; and solving the mathematical optimization model, and determining an operation instruction of the multi-user ARIS-SR system. According to the method provided by the invention, the total power consumption of the ARIS-SR system can be effectively and remarkably reduced through alternately iteratively optimizing the beam forming of the PT and the phase shift matrix of the ARIS.

The ultralow-temperature refrigerating system and the control method have the beneficial effects that the temperature stability and the energy efficiency are remarkably improved, and the future target refrigerating capacity is accurately predicted by collecting and preprocessing multi-dimensional operation parameters in real time and constructing a dynamic thermal load prediction model based on multivariate nonlinear regression; the predicted value is compared with the real-time refrigerating capacity to generate a feedforward control instruction, the frequency of a high-low-pressure-stage compressor and the opening degree of an electronic expansion valve are adjusted in advance, and temperature fluctuation caused by thermal load sudden change is effectively restrained; meanwhile, a control strategy is fused with an energy efficiency optimization objective function, high-pressure loop and low-pressure loop cooperative adjustment is achieved, and unit refrigerating capacity power consumption is minimized; in addition, by periodically updating the model weight coefficient online, the adaptability of long-term operation of the system is guaranteed, and the manual intervention requirement is remarkably reduced.