METHOD FOR CODING ON TIME SPACE TWO DIMENSIONAL CHANNEL

    公开(公告)号:US20230318745A1

    公开(公告)日:2023-10-05

    申请号:US18044126

    申请日:2022-06-01

    CPC classification number: H04L1/0625 H04L1/0631 H04L1/0071

    Abstract: The present disclosure relates to a method for coding on a time-space two-dimensional channels, in which the data bits to be transmitted are coded from the time-domain and the space-domain, respectively, to form time-space two-dimensional coding. the proposed coding operation in the space-domain and the time-domain can adopt different coding structures, coding rates and modulation constellations; subsequently, the system expresses each coding method with code words, merges the code words to form a space-time two-dimensional codebook, stores the codebook at both ends of the sending terminal and the receiving terminal; next, the sending terminal selects the coding structure according to the code words of the time-domain, and encodes each data stream according to time-domain coding rates, and eventually forms data blocks of an equal length in the time-domain through the rate matching. Then, the system selects different code word serial numbers, rate matching tables and space time slicing modes according to the requirements of different scenarios for transmission rates, latency and code error rate, as well as channel states and size of data blocks to be transmitted; eventually, when a Time Space Concatenated Coding Mode is adopted, the sending terminal firstly performs time-domain coding according to the time-domain slicing mode and the time-domain code words.

    Method for predicting delay at multiple corners for digital integrated circuit

    公开(公告)号:US11755807B2

    公开(公告)日:2023-09-12

    申请号:US18010131

    申请日:2022-03-09

    Abstract: Disclosed in the present invention is a method for predicting a delay at multiple corners for a digital integrated circuit, which is applicable to the problem of timing signoff at multiple corners. In the aspect of feature engineering, a path delay relationship at adjacent corners is extracted by using a dilated convolutional neural network (Dilated CNN), and learning is performed by using a bi-directional long short-term memory model (Bi-directional Long Short-Term Memory, BLSTM) to obtain topology information of a path. Finally, prediction results of a path delay at a plurality of corners are obtained by using an output of a multi-gate mixture-of-experts network model (Multi-gate Mixture-of-Experts, MMoE). Compared with a conventional machine learning method, the present invention can achieve prediction with higher precision through more effective feature engineering processing in a case of low simulation overheads, and is of great significance for timing signoff at multiple corners of a digital integrated circuit.

    DEVICE AND METHOD FOR MAGNETIC FIELD-ASSISTED SIMULATION OF ZERO-MICROGRAVITY FAME SYNTHESIS OF NANOPARTICLES

    公开(公告)号:US20230271153A1

    公开(公告)日:2023-08-31

    申请号:US18245331

    申请日:2022-04-27

    Abstract: A device for magnetic field-assisted simulation of zero-microgravity flame synthesis of nanoparticles includes a gradient magnetic field device, a combustor and a product collection device. The gradient magnetic field device is composed of two magnetic field devices arranged face to face. The combustor is located between the two magnetic field devices. The outlet of the combustor is vertically upward. The position is below the magnetic field center of the gradient magnetic field device. The body force acting on the flame and surrounding magnetic species thereof by the gradient magnetic field device counteracts the gravitational buoyancy lift effect, so that flame synthesis is carried out under a simulated zero/microgravity flame to prepare the nanoparticles. The device is able to use a gradient magnetic field to simulate the zero/microgravity flame on the ground to synthesize the nanoparticles under special flame characteristics, with reduced flame disturbance, improved stability, and no overheated region.

    PYROLYSIS BIO-OIL FRACTIONAL CONDENSATION DEVICE AND METHOD CAPABLE OF COOLING MEDIUM SELF-CIRCULATION

    公开(公告)号:US20230256356A1

    公开(公告)日:2023-08-17

    申请号:US18012098

    申请日:2021-12-20

    Abstract: The present disclosure relates to a pyrolysis bio-oil fractional condensation device and method capable of cooling medium self-circulation. The device includes a primary condensation system, a secondary condensation system and a cooling medium self-regulation heat exchange system. The primary condensation system uses the temperature-regulated cooling medium to condense the macromolecular tar by direct heat exchange with the pyrolysis volatiles. The condensed tar is heated, pushed and scraped with a rotary mechanism to prevent adhesion. The spray liquid in the secondary condensation system exchange heat with the uncondensed volatiles directly for secondary condensation. The cooling medium self-regulation heat exchange system realizes self-circulation and self-balance of the cooling medium mass flow and energy flow by integrating heat absorption during biomass raw material feeding and drying, heat release during volatiles condensation, and heat absorption during pyrolysis char cooling, and realized the independent operation of the condensation device in the mobile biomass pyrolysis system.

    MULTI-DEVICE SITE SELECTION METHOD FOR INTEGRATED ENERGY VIRTUAL POWER PLANT

    公开(公告)号:US20230245006A1

    公开(公告)日:2023-08-03

    申请号:US17633343

    申请日:2021-05-10

    CPC classification number: G06Q10/04 G05B19/042 G05B2219/2639

    Abstract: The present invention discloses a multi-device site selection method for an integrated energy virtual power plant, and belongs to the field of virtual power plants. The multi-device site selection method for an integrated energy virtual power plant includes the following steps: constructing a calculation method for calculating a comprehensive energy flow distribution entropy through power flow distribution in a power distribution network and flow distribution in a heat distribution network, to reflect energy distribution balance in an energy network; under a condition that capacity of each device is known, establishing a multi-device site selection optimal planning model of the integrated energy virtual power plant with a goal of maximizing a comprehensive energy flow distribution entropy index; and determining an installation location of each device of the integrated energy virtual power plant in the energy network, and determining an operating state of each device.

    Loss optimization control method for modular multilevel converters under fault-tolerant control

    公开(公告)号:US11711008B2

    公开(公告)日:2023-07-25

    申请号:US17784999

    申请日:2022-02-09

    Abstract: A loss optimization control method for modular multilevel converters (MMCs) under fault-tolerant control is disclosed. The method includes the following steps: when a fault of a SM in a MMC occurs, bypassing the faulty SM to achieve fault-tolerant control; suppressing the fundamental circulating current using a fundamental circulating current controller; respectively calculating the loss of each SM in faulty arms and healthy arms by using loss expressions of different switching tubes in SMs of the MMC; aiming at the loss imbalance between the arms of the MMC, taking the loss of a healthy SM as the reference, adjusting the period of capacitor voltage sorting control in the faulty SMs, achieving the loss control over the working SMs in the faulty SMs, and finally achieving the loss balance of each SM in the faulty arms and the healthy arms. Compared with the conventional methods, the proposed method is easier to implement and does not increase the construction cost of MMCs.

    A DYNAMIC IDENTIFICATION METHOD OF BRIDGE SCOUR BASED ON HEALTH MONITORING DATA

    公开(公告)号:US20230228618A1

    公开(公告)日:2023-07-20

    申请号:US17798685

    申请日:2021-11-05

    CPC classification number: G01H17/00

    Abstract: The present disclosure discloses a dynamic identification method of bridge scour based on health monitoring data, including: collecting an acceleration-time curve of a bridge foundation structure when vibrating: collecting the acceleration-time curve of each bridge foundation structure in a scour state by a health monitoring system when each bridge foundation structure vibrates; obtaining a warning control threshold of abnormal warning of a time-frequency change of a first-time scour bridge evaluation reference mode by calculation; identifying an abnormal segment in frequency segments of a scoured bridge to be identified; identifying an abnormal time-frequency sequence in the time-frequency abnormal segment: updating a warning control threshold of its own random fluctuation of time-frequency characteristics of a bridge scour reference mode after completing scour early warning of the abnormal sequence, so as to prepare for next anomaly identification and scour early warning. The present disclosure provides a method for dynamically identifying a foundation scour depth by performing dynamic characteristic analysis of a structural system, and the identification method can realize the technical features of long-term dynamic scour monitoring and early warning of underwater foundations.

    METHOD FOR PREDICTING DELAY AT MULTIPLE CORNERS FOR DIGITAL INTEGRATED CIRCUIT

    公开(公告)号:US20230195986A1

    公开(公告)日:2023-06-22

    申请号:US18010131

    申请日:2022-03-09

    Abstract: Disclosed in the present invention is a method for predicting a delay at multiple corners for a digital integrated circuit, which is applicable to the problem of timing signoff at multiple corners. In the aspect of feature engineering, a path delay relationship at adjacent corners is extracted by using a dilated convolutional neural network (Dilated CNN), and learning is performed by using a bi-directional long short-term memory model (Bi-directional Long Short-Term Memory, BLSTM) to obtain topology information of a path. Finally, prediction results of a path delay at a plurality of corners are obtained by using an output of a multi-gate mixture-of-experts network model (Multi-gate Mixture-of-Experts, MMoE). Compared with a conventional machine learning method, the present invention can achieve prediction with higher precision through more effective feature engineering processing in a case of low simulation overheads, and is of great significance for timing signoff at multiple corners of a digital integrated circuit.

    OFFLOADING METHOD, OF SATELLITE-TO-GROUND EDGE COMPUTING TASK, ASSISTED BY SATELLITE AND HIGH-ALTITUDE PLATFORM

    公开(公告)号:US20230156072A1

    公开(公告)日:2023-05-18

    申请号:US17628571

    申请日:2021-04-25

    CPC classification number: H04L67/10 H04B7/0456 H04B7/18504 H04B7/18513

    Abstract: An offloading method, of a satellite-to-ground edge computing task, assisted by a satellite and a high-altitude platform can offload a computing task of a ground user equipment (GUE) to a low earth-orbit satellite (LEO SAT), to meet a computing requirement of the GUE and to reduce latency and energy consumption. The method includes four main steps: 1. The GUE selects an associated high-altitude platform. 2. The GUE uses multi-input and multi-output (MIMO) transmission to offload the computing task to the high-altitude platform. 3. The high-altitude platform may also use the MIMO transmission to offload the computing task of the GUE to the LEO SAT. 4. The high-altitude platform and the LEO SAT cooperate to process the computing task of GUE, and reasonably allocate a computing resource to reduce energy consumption; and in MIMO edge computing, the GUE or the high-altitude platform uses the same time-domain and frequency-domain resource .

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