Abstract: A wireless communication network resource allocation method implemented in a server in a wireless communication network, includes: obtaining task feature information of each user device and a CPU frequency of the server in each time slot; obtaining a task data volume average value; determining, based on a knowledge base including sample data groups and optimal resource allocation models, a target optimal resource allocation model matched with the task data volume average value and the CPU frequency of the server; obtaining, based on the task feature information of the user devices in the time slot and the target optimal resource allocation model, resource allocation results of the user devices, and transmitting task data to the user devices based on the results. A width of a dynamic neural network can be automatically adjusted according to task features and computational capacity, and on-demand adjustment of decision speed and resource optimality can be realized.

Abstract: A movement detection system for a passenger in the present invention includes: a first Bluetooth module (150) mounted in an elevator landing area; and a movement prediction unit (270) configured to predict, based on Bluetooth movement data, that a movement of a passenger in the elevator landing area is a normal movement or an abnormal movement. The movement detection system and a movement detection method in the present invention can automatically detect an abnormal movement of a passenger, and are especially applicable to an elevator system that completes an elevator call operation without an input operation.

Abstract: A method can include removing material from a first side of a diffuser block to form a back-side gradient surface of a diffuser, wherein the back-side gradient surface is a first concave surface, after removing the material from the first side, removing material from a second side of the diffuser block to form a front-side gradient surface of the diffuser, wherein the front-side gradient surface is a second concave surface, and forming a plurality of opening structures through the front-side gradient surface to the back-side gradient surface.

Abstract: A diffuser includes a front-side gradient surface formed from a diffuser block, a back-side gradient surface formed from the diffuser block, and opening structures formed from the front-side gradient surface to the back-side gradient surface. Each opening structure includes a conical opening having a first end along the front-side gradient surface and a second end corresponding to an apex at a depth within the diffuser block, and a cylindrical opening formed from the depth to the back-side gradient surface. The opening structures are arranged in rows including a first set of rows and a second set of rows alternately positioned along a length of the diffuser block.

Abstract: A model training method based on adaptive split learning-federated learning includes: each user terminal uploading device information to the server and the server allocating a propagation step length and a aggregation weight to each user terminal; each user terminal obtaining a current-round global model from the server and taking itself as a start node of a ring topology to perform local joint processing for a preset number of times to obtain a locally-updated model parameter of the start node with respect to current-round training; each user terminal uploading the locally-updated model parameter for the current-round training to the server for aggregation and obtaining a current-round updated global model; and the server determining whether the current-round updated global model meets a convergence condition, if not, performing next-round training, or if yes, determining the current-round updated global model as a trained face recognition model.

Abstract: The present invention provides an automatic elevator-calling system and an automatic elevator-calling control method, belonging to the technical field of elevator intelligent control technologies. The automatic elevator-calling system and the automatic elevator-calling control method of the present invention can configure an elevator calling distance in an adjustable manner, wherein the elevator calling distance indicates a distance between a personal mobile terminal that can sense a wireless signal and a wireless signal apparatus when the personal mobile terminal automatically sends an elevator calling request command. The present invention can further improve the elevator calling experience of the passenger.

Abstract: A multi-geomagnetic sensor speed measurement system comprises a geomagnetic vehicle detection module, a data transmission module, a data reception module and a backend data processing module. When measuring, the geomagnetic vehicle detection module collects the geomagnetic data when the vehicle passes and processes it to obtain temporal data; the backend processing module receives the data for data cleaning; the backend processing module selects the reference sensors and opens individual time windows; the backend processing module processes the temporal data based on the number of temporal data in the time window; in the case of duplicate-detection, a measurement threshold ? is set and the temporal data is merged based on the threshold ?; in the case of mis-detection, the data is interpolated to make up for the mis-detection; based on the alignment result, a minimum variance method is used to estimate the speed of the vehicle.

Abstract: The present invention relates to a method and a system of commissioning elevator, and an elevator system. The method includes obtaining at least one operation data of at least one elevator door, comparing the operation data with corresponding criterion operation data, and determining whether a deviation between the operation data and the criterion operation data exceeds a pre-set range, and if so, triggering a control over at least one control end relevant to the operation of the elevator door to make a deviation between the operation data re-obtained and the criterion operation data fall within the pre-set range. The invention will increase the efficiency in elevator commissioning and remove the adverse effects on elevator operation caused by factors such as “Stack Effect”, and thereby ensure good working condition and high security of elevators.

Abstract: A perception and control system of an autonomous snowfield-roaming robot and an operation and path planning method thereof are provided. The perception system is configured to perceive the robot’s own state and an extreme snow environment where the robot is located; the control system is configured to realize an autonomous navigation movement and obstacle avoidance of the robot for stability and reliability of robot roaming, wherein the robot uses energy reasonably based on a wind farm environment so as to achieve navigation with sail assistance finally; the execution mechanism is configured to execute control instructions and an operation task issued by the control system so as to realize snowfield roaming; and the remote monitoring module is configured to monitor state information of the robot, and to issue the operation task and target path to the control system for operation and global path planning.

Abstract: The present invention relates to tracking of a passenger flow in an elevator car. A passenger flow tracking system for an elevator car according to the present invention includes: a first Bluetooth module installed in the elevator car, the first Bluetooth module being configured to broadcast a first Bluetooth signal that can substantially cover the interior of the elevator car and receive a response fed back by a personal mobile terminal carried by a passenger inside the elevator car; and a passenger flow determining unit configured to at least determine, based on a change in the received response, that the passenger leaves and/or enters the elevator car.

Abstract: A wireless communication network resource allocation method implemented in a server in a wireless communication network, includes: obtaining task feature information of each user device and a CPU frequency of the server in each time slot; obtaining a task data volume average value; determining, based on a knowledge base including sample data groups and optimal resource allocation models, a target optimal resource allocation model matched with the task data volume average value and the CPU frequency of the server; obtaining, based on the task feature information of the user devices in the time slot and the target optimal resource allocation model, resource allocation results of the user devices, and transmitting task data to the user devices based on the results. A width of a dynamic neural network can be automatically adjusted according to task features and computational capacity, and on-demand adjustment of decision speed and resource optimality can be realized.

Abstract: The present invention relates to the guidance for a passenger to enter a correct elevator car, belonging to the field of elevator intelligent control technologies. In a method for guiding a passenger to enter a correct elevator car provided in the present invention, the movement of the passenger relative to one of a plurality of elevator cars is determined based on a change in the signal strength of a received first wireless signal; and whether the movement is a movement corresponding to entering a correct elevator car is judged based on a recognition result. The present invention can realize that a passenger is automatically guided to enter a correct elevator car by means of the change in a vibration signal and/or a voice prompt signal.

Abstract: The present disclosure provides a method for increasing content of nutritional components of winged bean pods and an application thereof, which belongs to the technical field of deep processing of agricultural products. The method provided in the present disclosure comprises the following steps: (1) soaking a winged bean pod in water and mixing with an aqueous sodium chloride solution, and then steaming to obtain a softened pod; and (2) treating the softened pod with an alkaline substance or an acidic substance or cellulase. The present disclosure uses physical, chemical, and biological treatment methods to process the winged bean pods, and aims to find a method to increase the content of nutritional components of the pods and the palatability of animals, in order to better apply the pods to feed.

Abstract: A diffuser includes a front-side gradient surface formed from a diffuser block, a back-side gradient surface formed from the diffuser block, and opening structures formed from the front-side gradient surface to the back-side gradient surface. Each opening structure includes a conical opening having a first end along the front-side gradient surface and a second end corresponding to an apex at a depth within the diffuser block, and a cylindrical opening formed from the depth to the back-side gradient surface. The opening structures are arranged in rows including a first set of rows and a second set of rows alternately positioned along a length of the diffuser block.

Abstract: An interactive control method, an apparatus, and a system for an intelligent kitchen, a computer readable storage medium, and an electronic device, capable of improving the degree of intelligence of kitchen work, and improving the kitchen operation efficiency. The method includes: obtaining dish information of a dish to be cooked, and determining a cooking task according to the dish information; controlling, according to the cooking task, a target cooking station to cook the dish; determining a dish container corresponding to the dish information according to the dish information, and controlling the dish container to be transported to a dish receiving position of the target cooking station; and after the target cooking station finishes cooking and fills a cooked dish into the dish container, sending a delivery instruction to control a delivery terminal to perform a dish delivery task.

Abstract: The present disclosure provides a method for vehicle speed estimation using multiple geomagnetic sensors, and mainly solves the problem of low accuracy of vehicle speed estimation in existing single-geomagnetic, dual-geomagnetic and multi-geomagnetic scenarios. There are M vehicle detection modules (1), and the vehicle detection modules are deployed along a roadside at equal intervals and configured to detect processes that a vehicle approaches and leaves a detection point, record the time when the vehicle approaches the detection point and send time data to a data processing module (2).

Abstract: The present disclosure provides a hybrid decision-making method for autonomous driving, including the following steps: acquiring real-time traffic environment information of an autonomous vehicle during the running at a current moment; establishing a local decision-making model for autonomous driving based on the traffic environment information; based on the local decision-making model for autonomous driving, learning, by using a method based on deep reinforcement learning, a driving behavior of the autonomous vehicle, and extracting driving rules; sharing the driving rules; augmenting an existing expert system knowledge base; and determining whether there is an emergency: if yes, making a decision by using a machine learning model; and if not, adjusting the machine learning model based on the augmented existing expert system knowledge base, and making a decision by the machine learning model.

Abstract: The present disclosure discloses a method for sharing models among autonomous vehicles based on a blockchain, the method comprising the steps of: 1) creating a mobile edge computing network; 2) generating a key pair for each node in the mobile edge computing network; 3) creating a local model set of a mobile node set in the mobile node computing network; 4) enabling each mobile node to communicate with a corresponding nearest mobile edge computing node; 5) creating supernode sequences by the mobile edge computing node; 6) creating a blockchain based on the supernode sequences; and 7) updating the local model set.

Abstract: A multi-geomagnetic sensor speed measurement system comprises a geomagnetic vehicle detection module, a data transmission module, a data reception module and a backend data processing module. When measuring, the geomagnetic vehicle detection module collects the geomagnetic data when the vehicle passes and processes it to obtain temporal data; the backend processing module receives the data for data cleaning; the backend processing module selects the reference sensors and opens individual time windows; the backend processing module processes the temporal data based on the number of temporal data in the time window; in the case of duplicate-detection, a measurement threshold ? is set and the temporal data is merged based on the threshold ?; in the case of mis-detection, the data is interpolated to make up for the mis-detection; based on the alignment result, a minimum variance method is used to estimate the speed of the vehicle.

Abstract: Various embodiments provide glass bottle-based silicon electrode materials. A battery electrode includes silicon made from magnesiothermic reduction of silicon oxide derived from glass bottles and a conformal carbon coating thereon. A method of making the electrode material includes crushing glass bottles to produce crushed glass containing silicon oxide particles, mixing the silicon oxide particles with a heat scavenger to produce a mixture, magnesiothermically reducing the mixture to produce silicon, and applying a carbon coat to the silicon to produce an electrode material.