Abstract: A source-network-load-storage coordination dispatching method in a background of a coupling of renewable energy sources, including: taking an expectation of a minimum grid operating cost in a dispatching cycle as an objective function; generating an approximate value function of an output of a set for generating electricity from renewable energy sources and a user load, and constructing a source-network-load-storage coordination dispatching model with combination of the objective function; obtaining forecast data of the output of a set for generating electricity from renewable energy sources and the user load, and inputting the forecast data into the dispatching model for solving; performing iterative updating on the approximate value function, importing the approximate value function after the iterative updating into the dispatching model for iterative solving, and terminating an iterative process until a solving result satisfies a preset convergence condition; and using a solving result of a last iteration

Abstract: Disclosed are a photovoltaic energy storage offline coordination system and method based on demand management. The system includes a photovoltaic generator set, an inverter, a dispatch and control device for charge-discharge, a load monitor, a first and second energy storage device, and a remote console. The photovoltaic generator set is electrically connected to the dispatch and control device for charge-discharge via the inverter; the first energy storage device is connected to a load-side power supply bus via a first dispatch and control unit; the second energy storage device is connected to the load-side power supply bus via a third dispatch and control unit; a second dispatch and control unit is connected to the load-side power supply bus; the load monitor is provided at the load-side power supply bus, and configured to monitor a load of the load-side.

Abstract: Based on 100 wt % of the alloy aluminum paste, the alloy aluminum paste includes the following components in percentages by weight: 35-56.5% of an aluminum-silicon alloy powder, 17.5-37.5% of an aluminum powder, 1-2% of a lead-free glass powder, 15-20% of an organic solvent, 3-5% of ethyl cellulose, 0.05-0.1% of a thixotropic agent and 0.5-1.5% of a dispersant. The alloy paste can be applied to a PERC solar cell having a passivation coating opening consisting of 0.5-1% of the area of the solar cell. When the alloy aluminum paste is applied to a PERC solar cell having a low opening rate, particularly a rear electrode having a passivation coating opening consisting of 0.5-1% of the area of the solar cell.

Abstract: The invention provides a global and local feature reconstruction network-based medical image segmentation method, device, apparatus and a computer storage medium. In the invention, a global feature reconstruction GFR module introduces semantic information from high-level into low-level features through a global descriptor, to eliminate a semantic gap between features in different levels, and a feature map is reconstructed by using a cross-level global descriptor, to implement long-distance feature dependency modeling. A local feature reconstruction LFR module implements dynamic upsampling of features based on the guidance of a low-stage feature map.

Abstract: Disclosed are a clock and data recovery circuit, method and apparatus. The circuit comprises a receiving module for receiving an analog signal; a first equalization module connected to the receiving module, the first equalization module comprising a first totalizer and a second totalizer; a first sampling module connected to an output end of the first totalizer, the first sampling module comprising a first edge sampler and a second edge sampler that are connected to the output end of the first totalizer, respectively; a second sampling module connected to an output end of the second totalizer; a data processing module connected to both the first sampling module and the second sampling module; a clock recovery module connected to the data processing module; and an output module connected to the clock recovery module. In the present application, by means of the manner, a phase can be adjusted using a bias voltage, thereby accurately recovering clock information.

Abstract: The invention provides a three-dimensional force flexible tactile sensor and a fabrication method and a decoupling method thereof. The three-dimensional force flexible tactile sensor includes a first flexible layer, a porous elastic layer and a second flexible layer which are arranged in sequence. The first flexible layer is provided with a plurality of first electrodes. The second flexible layer is provided with a second electrode. The first electrodes and the second electrode are both clung to the porous elastic layer. The sensor not only can detect normal mechanical load, but also can measure the force tangent to the surface of the sensor, thereby realizing the detection of the three-dimensional force.

Abstract: An electrical brake energy feedback system, including a rectifier and inverter circuit, an intermediate DC circuit, a first voltage detection circuit configured to detect voltages of positive and negative terminals of the intermediate DC circuit to obtain a first voltage signal, a bidirectional DC/DC conversion circuit and/or a regeneration control circuit, and an electrical energy flow control circuit for controlling operating states of the bidirectional DC/DC conversion circuit and/or the regeneration control circuit according to the first voltage signal. With this system, the electrical brake energy can be recovered to the greatest extent when the vehicle is running in different zones, and the electrical brake energy consumed by the brake resistor is as little as possible. Accordingly, the vehicle and the entire transportation system can be more energy-saving and environmentally friendly.

Abstract: Based on 100 wt % of the alloy aluminum paste, the alloy aluminum paste includes the following components in percentages by weight: 35-56.5% of an aluminum-silicon alloy powder, 17.5-37.5% of an aluminum powder, 1-2% of a lead-free glass powder, 15-20% of an organic solvent, 3-5% of ethyl cellulose, 0.05-0.1% of a thixotropic agent and 0.5-1.5% of a dispersant. The alloy paste can be applied to a PERC solar cell having a passivation coating opening consisting of 0.5-1% of the area of the solar cell. When the alloy aluminum paste is applied to a PERC solar cell having a low opening rate, particularly a rear electrode having a passivation coating opening consisting of 0.5-1% of the area of the solar cell.

Abstract: Provided are a connector structure, and a skew calculation method and device. Specifically, the connector structure includes: a first Printed Circuit Board (PCB) (12), which includes a first board (122) and a second board (124), and is connected to a testing device; and a second PCB (14), which includes a third board (142) and a fourth board (144), and is connected to the testing device. The first board (122) is connected to the third board (142) through a connector (16).

Abstract: A method for intelligently adjusting a power flow based on a Q-learning algorithm includes: converting a variable, an action, and a goal in a power grid to a state, an action, and a reward in the algorithm, respectively; selecting an action from an action space, giving an immediate reward based on a result of power flow calculation, and correcting a next state; forwardly observing a next exploration action based on a strategy in the Q-learning algorithm; updating a Q value in a corresponding position in a Q-value table based on the obtained reward; if a final state is not reached, going back to step 2; otherwise, increasing the number of iterations by 1; if the number of iterations does not reach predetermined value K, that is, Episode<K, going back to step 2; otherwise, that is, Episode=K, outputting the Q-value table; and outputting an optimal unit combination.

Abstract: A method for controlling a main circuit of a traction system is provided. The method includes: under a braking condition, controlling a protection module to be turned off; controlling the protection module to be turned on and monitoring a first current detected by a first current sensor in a case that a rail vehicle runs on a charged third rail; and controlling the protection module to be turned off and monitoring whether the rail vehicle runs on a charged third rail in a case that the first current is less than a first preset current.

Abstract: The present invention relates to a method for identifying parameters of a 10 kV static load model based on similar daily load curves. In the present invention, an optimization model for identifying full-period parameters of the static load model is proposed based on a large number of daily load curves with response characteristic, a structure and constraints of the static load model, and two theoretical basic assumptions about loads. Full-period (including 96 moments) static voltage model parameters of 10 kV loads are given through optimization solution. A rule that active power and reactive power of the loads at each moment change with voltage is obtained. In addition, a change rule of load constituents is obtained. The method delivers good applicability, satisfies actual demands, and is suitable for large-scale static model analyses for 10 kV loads.

Abstract: An electrical brake energy feedback system, including a rectifier and inverter circuit, an intermediate DC circuit, a first voltage detection circuit configured to detect voltages of positive and negative terminals of the intermediate DC circuit to obtain a first voltage signal, a bidirectional DC/DC conversion circuit and/or a regeneration control circuit, and an electrical energy flow control circuit for controlling operating states of the bidirectional DC/DC conversion circuit and/or the regeneration control circuit according to the first voltage signal. With this system, the electrical brake energy can be recovered to the greatest extent when the vehicle is running in different zones, and the electrical brake energy consumed by the brake resistor is as little as possible. Accordingly, the vehicle and the entire transportation system can be more energy-saving and environmentally friendly.

Abstract: Disclosed herein, are compositions comprising one or more therapeutic agents non-covalently conjugated to a nanomaterial (e.g., graphene oxide). Also, described herein, are methods of preparing stable compositions, the methods comprising a plurality of antibodies non-covalently bound to graphene oxide; physiologically acceptable compositions including them; and methods of administering the compositions to patients for the treatment of a disease such as cancer and autoimmune disorders as well as for the prevention of graft rejection.

Abstract: The present invention relates to tetrahydroprotoberberines of the formula (I) and the physiologically acceptable salts thereof. The invention also relates to the use of the compounds of the formula (I) or pharmaceutically acceptable salts thereof for preparing a pharmaceutical composition for the treatment of a medical disorder susceptible to treatment with dopamine receptor ligand, such as schizophrenia.

Abstract: Described is a technology by which online recognition of handwritten input data is combined with offline recognition and processing to obtain a combined recognition result. In general, the combination improves overall recognition accuracy. In one aspect, online and offline recognition is separately performed to obtain online and offline character-level recognition scores for candidates (hypotheses). A statistical analysis-based combination algorithm, an AdaBoost algorithm, and/or a neural network-based combination may determine a combination function to combine the scores to produce a result set of one or more results. Online and offline radical-level recognition may be performed. For example, a HMM recognizer may generate online radical scores used to build a radical graph, which is then rescored using the offline radical recognition scores. Paths in the rescored graph are then searched to provide the combined recognition result, e.g., corresponding to the path with the highest score.

Abstract: Described is a technology by which online recognition of handwritten input data is combined with offline recognition and processing to obtain a combined recognition result. In general, the combination improves overall recognition accuracy. In one aspect, online and offline recognition is separately performed to obtain online and offline character-level recognition scores for candidates (hypotheses). A statistical analysis-based combination algorithm, an AdaBoost algorithm, and/or a neural network-based combination may determine a combination function to combine the scores to produce a result set of one or more results. Online and offline radical-level recognition may be performed. For example, a HMM recognizer may generate online radical scores used to build a radical graph, which is then rescored using the offline radical recognition scores. Paths in the rescored graph are then searched to provide the combined recognition result, e.g., corresponding to the path with the highest score.

Abstract: Described is a technology by which online recognition of handwritten input data is combined with offline recognition and processing to obtain a combined recognition result. In general, the combination improves overall recognition accuracy. In one aspect, online and offline recognition is separately performed to obtain online and offline character-level recognition scores for candidates (hypotheses). A statistical analysis-based combination algorithm, an AdaBoost algorithm, and/or a neural network-based combination may determine a combination function to combine the scores to produce a result set of one or more results. Online and offline radical-level recognition may be performed. For example, a HMM recognizer may generate online radical scores used to build a radical graph, which is then rescored using the offline radical recognition scores. Paths in the rescored graph are then searched to provide the combined recognition result, e.g., corresponding to the path with the highest score.

Abstract: Described is a technology by which online recognition of handwritten input data is combined with offline recognition and processing to obtain a combined recognition result. In general, the combination improves overall recognition accuracy. In one aspect, online and offline recognition is separately performed to obtain online and offline character-level recognition scores for candidates (hypotheses). A statistical analysis-based combination algorithm, an AdaBoost algorithm, and/or a neural network-based combination may determine a combination function to combine the scores to produce a result set of one or more results. Online and offline radical-level recognition may be performed. For example, a HMM recognizer may generate online radical scores used to build a radical graph, which is then rescored using the offline radical recognition scores. Paths in the rescored graph are then searched to provide the combined recognition result, e.g., corresponding to the path with the highest score.

Abstract: Described is a technology by which online recognition of handwritten input data is combined with offline recognition and processing to obtain a combined recognition result. In general, the combination improves overall recognition accuracy. In one aspect, online and offline recognition is separately performed to obtain online and offline character-level recognition scores for candidates (hypotheses). A statistical analysis-based combination algorithm, an AdaBoost algorithm, and/or a neural network-based combination may determine a combination function to combine the scores to produce a result set of one or more results. Online and offline radical-level recognition may be performed. For example, a HMM recognizer may generate online radical scores used to build a radical graph, which is then rescored using the offline radical recognition scores. Paths in the rescored graph are then searched to provide the combined recognition result, e.g., corresponding to the path with the highest score.