Abstract: The present invention discloses a unit commitment method considering security region of wind turbine generators with frequency response control, and the main steps are: 1) determining security region of wind turbine generators when provides frequency response; 2) based on the security region of the wind turbine generators when provides frequency response, establishing a unit commitment model considering security region of wind turbine generators; and 3) calculating the unit commitment model considering the security region of the wind turbine generators by using mixed-integer linear programming method, and obtaining the operation result of the unit commitment considering the security region of the wind turbine generators with frequency response control. The present invention can be widely used in the setting of frequency response parameters of wind turbine generators dispatched in the prior art and the start-stop and output plans of synchronous generator.

Abstract: The disclosure provides an anesthesia machine, a veterinary anesthesia machine, and a waste gas absorption tank supporting device, the waste gas absorption tank supporting device including: a tray provided with a tray recess; and a protrusion structure provided on the tray, the protrusion structure being capable of forming a circumferential protective structure located on an outer side of the tray recess and configured to protect a waste gas absorption tank, and an inner side surface and an outer side surface of the protrusion structure being both protective surfaces capable of protecting the waste gas absorption tank. The waste gas absorption tank supporting device provided by the disclosure can effectively support waste gas absorption tanks of various sizes, so that the waste gas absorption tank is prevented from sliding off from the waste gas absorption tank supporting device during the movement of the anesthesia machine.

Abstract: One or more embodiments of the present disclosure relate to a culture device, which comprises: an accommodation base, an accommodation chamber disposed on the accommodation base. The accommodation chamber includes a culture chamber for accommodating one or more cultures. The culture chamber includes a chamber bottom wall and a chamber side wall surrounding the chamber bottom wall. A culture solution channel is formed between an outer side of the chamber side wall and an inner wall of the accommodation chamber. At least part of the chamber side wall includes a membrane material, and a plane where the membrane material is located intersect with the chamber bottom wall.

Abstract: The invention discloses a method for determining dynamic wetland boundary based on hydrology, organism and soil elements, including the following steps: step 1: extracting dynamic wetland hydrology boundary; step 2: obtaining data on wetland vegetation; step 3: obtaining data on wetland soil; step 4: simulating dynamic wetland vegetation boundary and dynamic wetland soil boundary according to the data from step 1 to step 3; step 5: determining dynamic wetland boundary; the invention can reflect the dynamic wetland boundary in multiple dimensions comprehensively and accurately.

Abstract: Laser ablation processing method for debris-free and efficient removal of materials comprises the step of using a refrigeration device to condense the water vapor and form a thin frost layer on the materials at temperatures below the freezing point. The residual debris produced during the ablation process deposits on the frost layer that covers the material, which is easily removed when the frost layer melts. At the same time, the frost layer in the laser irradiation area melts to a liquid layer, which can effectively reduce the deposition of debris on the inner wall of the groove and thus improve the efficiency and quality of laser ablation. The method is applicable to debris-free laser processing on an arbitrary curved surface.

Abstract: A monitoring or tracking system may include an input port and a controller in communication with the input port. The input port may receive data from a data recorder. The data recorder is optionally part of the monitoring system and in some cases includes at least part of the controller. The controller may be configured to receive data via the input port and determine values for one or more dimensions of subject performing a task based on the data and determine a location of a hand of the subject performing the task based on the data. Further, the controller may be configured to determine one or both of trunk angle and trunk kinematics based on the received data. The controller may output via the output port assessment information.

Abstract: A multi-dimensional flight release efficiency evaluation method. The method comprises: obtaining air flow control production and operation data which mainly comprises airspace capacity information, flight scheduling basic information, flight four-dimensional trajectory information and the like through a business information comprehensive processing platform, identifying a flight object affected by flow control and a flight object restricted by flow control through processing the operation data, analyzing a flight release time-hopping degree, calculating flight release delay distribution, evaluating controlled flight release fairness, predicting a controlled flight release normal rate, comparing airspace flow capacity matching situations, establishing a multi-dimensional flight release efficiency evaluation index set, and visually displaying evaluation indexes in modes of list, histogram, line chart, radar chart and the like.

Abstract: A flight pushback state monitoring method based on multi-modal data fusion comprises: 1, constructing a control intention recognition rule, and recognizing a pushback intention from a control instruction sent by a controller; 2, constructing a flight intention recognition model, extracting an aircraft action from a real-time monitoring video, and capturing a flight intention; and 3, constructing an intention alignment fusion rule, and judging whether control intention information conflicts with flight intention information; by fusing the control intention and the flight intention, the method can realize the following auxiliary functions: timely judging whether the aircraft follows the pushback instruction sent by the controller, if a captain does not act according to the control instruction or acts arbitrarily without a control instruction, giving an inconsistent alarm, and a function of monitoring the flight pushback state is implemented.

Abstract: A flight schedule optimization method based on a flight normality target is capable of carrying out pre-analysis on flight operation efficiency of a current flight schedule based on a national air traffic control service capability, and on this basis, generating a corresponding flight schedule adjustment suggestion according to a flight normality optimization target, which aims to provide a technical support means for carrying out flight schedule rationality analysis and optimization in strategic air traffic flow management.

Abstract: The invention discloses a prefetch-adaptive intelligent cache replacement policy for high performance, in the presence of hardware prefetching, a prefetch request and a demand request are distinguished, a prefetch predictor based on an ISVM (Integer Support Vector Machine) is used for carrying out re-reference interval prediction on a cache line of prefetching access loading, and a demand predictor based on an ISVM is utilized to carry out re-reference interval prediction on a cache line of demand access loading. A PC of a current access load instruction and PCs of past load instructions in an access historical record are input, different ISVM predictors are designed for prefetch and demand requests, reuse prediction is performed on a loaded cache line by taking a request type as granularity, the accuracy of cache line reuse prediction in the presence of prefetching is improved, and performance benefits from hardware prefetching and cache replacement is better fused.

Abstract: An apparatus comprises a noisy bias voltage generator circuit, a random seed generator circuit, and a random series generator circuit. The noisy bias voltage generator circuit may be configured to generate a plurality of noisy bias voltages in response to a plurality of input voltage signals and a first bias current signal. The random seed generator circuit may be configured to generate a random seed in response to the plurality of noisy bias voltages and a second bias current signal. The random series generator circuit may be configured to generate a series of true random bits in response to the random seed and a clock signal.

Abstract: A method, a system, and a computer program product for detecting fake news based on a multi-task learning model. In an embodiment, a multi-task learning model is used to perform joint training on authenticity detection and topic classification of news to be detected, and authenticity of the news to be detected and a topic of the news to be detected are returned simultaneously. Through the implementation of the embodiment of the present invention, the authenticity of the news and the topic of the news can be detected simultaneously, and the accuracy of fake news detection and topic classification is improved.

Abstract: A matching algorithm and device for data with different scales based on global road network features are provided. The method includes: loading data of different maps, constructing crossroad groups in each map, and extracting information on attributes of the crossroad groups; allocating, according to the importance degree of the attribute information, weights for each attribute of the crossroad groups, and comprehensively evaluating confidence values of matching between two crossroad groups in different maps; and constructing, according to the confidence values, matched road networks, calculating total confidence values of the matched road networks, and selecting a road network with the highest total confidence value as an optimal matching solution, namely a matching result.

Abstract: A system, product, and method are provided for improving knowledge graph (KG) link prediction using transformer-based artificial neural networks. A first topic model is leveraged against a first dataset derived from a KG containing a plurality of first triples. The first triples include first entities and first edges connecting the first entities to represent relationships between the first connected entities. A first similarity function is applied to the first connected entities of the first triples to provide respective first similarity scores. A first subset of one of more first triples is selected from the plurality of first triples based upon the first similarity scores. An artificial neural network is trained using the selected first subset of one or more first triples.

Abstract: A method of introducing a metalliferous feed in an ironmaking process, the method including the steps of, pre-drying an iron containing sludge by drying means to an amount of 15 to 30% (w/w) moisture, mixing the pre-dried iron containing sludge with a binder material to obtain a granulate, having a particle size of less than 4 millimeter and drying the granulate to a maximum of 3% (w/w) moisture, thereby forming the metalliferous feed, wherein the metalliferous feed is subsequently injected into a cyclone part of a metallurgical vessel.

Abstract: The present disclosure discloses a method for assessing soil health of cultivated land, which adopts “three sets of dual index assessment systems”, that is an index system for current soil function and a healthy soil function required by crops, an index system for current soil nutrition and healthy soil nutrition required by crops, and an index system for current crop output of cultivated land and a crop output expected by cultivated land users or owners. The method solves the shortcomings of the existing assessment systems that the existing soil health assessment index system has no hierarchy and applicability. This method includes using deviating degree of ratio R e.g., the index current value C/index health value E of measured dual index from 1 as well as it is simple, and the assessment result may directly determine the indicators or factors that can be used for guiding soil improvement and conservation.

Abstract: A monitoring system or tracking system may include an input port and a controller in communication with the input port. The input port may receive video from one or more image capturing devices. The image capturing device is optionally part of the monitoring system and in some cases includes at least part of the controller. The controller may be configured to receive video via the input port and identify a subject within frames of the video relative to a background within the frames. Further, the controller may be configured to identify dimensions, posture, hand location, feet location, twisting position/angle, and/or other parameters of the identified subject in frames of the video and determine when the subject is performing a task. Based on the dimensions and/or other parameters identified or extracted from the video during the predetermined task, the controller may output via the output port assessment information.

Abstract: The present disclosure provides a multimodal fine-grained mixing method and system, a device, and a storage medium. The method includes: extracting data features from multimodal graphic and textual data, and obtaining each composition of the data features, the data features including a visual regional feature and a text word feature; performing fine-grained classification on modal information of each composition of the data features, to obtain classification results; and performing inter-modal and intra-modal information fusion on each composition according to the classification results, to obtain a fusion feature. The method enables a multimodal model to utilize a complementary characteristic of the multimodal data, with no influence by irrelevant information.

Abstract: A composition contains ?-glucan and is used for preventing and/or treating hormone-dependent dermatitis, skin mucositis or other skin inflammatory diseases.

Abstract: The present disclosure provides a multimodal fine-grained mixing method and system, a device, and a storage medium. The method includes: extracting data features from multimodal graphic and textual data, and obtaining each composition of the data features, the data features including a visual regional feature and a text word feature; performing fine-grained classification on modal information of each composition of the data features, to obtain classification results; and performing inter-modal and intra-modal information fusion on each composition according to the classification results, to obtain a fusion feature. The method enables a multimodal model to utilize a complementary characteristic of the multimodal data, with no influence by irrelevant information.