Abstract: A method for operating a graph database, including receiving, by a computer system, a query to a particular graph database, the query identifying a plurality of vertices of the particular graph database. The method further includes performing, by the computer system, hash operations on two or more of the plurality of vertices to generate respective hash values and dividing, using the respective hash values, the query into a plurality of sub-queries, each corresponding to a subset of the plurality of vertices. The method also includes sending, by the computer system, ones of the plurality of sub-queries to a plurality of database repositories for the particular graph database.

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 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: A vehicle traffic flow prediction method with missing data is disclosed. The method includes the steps of inputting the topological structure of the traffic flow to be predicted, selecting a certain road section in the road network as the road section to be predicted, and determining the adjacent road section data set of the road section to be predicted by the spatial-temporal relationship between the observable data and the missing data. According to the nearest neighbor algorithm, the missing data in the data set of the adjacent road sections are filled to get the filled data set, and then the traffic flow data of the road sections to be predicted at the prediction time is obtained. The method can be used for efficiently predicting the vehicle traffic flow of a certain road section in the case of missing traffic flow data in the complex urban road network.

Abstract: A topology control system and a corresponding topology control method for dynamic network is provided. The topology control system for dynamic network includes a sensing module, a data processing module, a data judgment module, a communication module and a central module. The sensing module collects the data of the surrounding nodes, and transmits it to the data processing module for caching, and then selects the cluster head of the current node according to the data, and then transmits it to the data judgment module. After the data judgment module checks the cluster head qualified, the communication module is responsible for wireless transmission of cluster head information to the central module. The central module collects the data of all nodes in the network and transmits the results to the client. It can be used for topology control of the dynamic network.

Abstract: The invention discloses a method for vehicle classification using multiple geomagnetic sensors, which mainly solves the problems of high cost, complex processing process and difficulty in large-scale deployment of the existing vehicle classification methods.

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 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: 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: Embodiments of the present invention provide a method for establishing an association between a STA and an AP, and the method includes: sending, by the STA, an association request frame to the AP, where the association request frame includes a service type element, and the service type element is used for indicating a sensor service type, an offloading service type, or a hybrid service type to which the STA belongs, where the sensor service type includes a first sensor service or a second sensor service, and the offloading service type includes a first offloading service or a second offloading service; and receiving, by the STA, an association response frame sent by the AP, where the association response frame is generated by the AP after determining, according to the service type element, a service type to which the STA belongs.

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.