Abstract: Example implementations relate to managing a resource of a network device. A resource of a network device may be assigned from a first tenant to a second tenant of the network device. Resources of the network device may include an assignment right, an access right, and a configuration right, By assigning the resource to the second tenant, the second tenant may be granted an access right to the assigned resource. Responsive to the assignment of the resource, an access right to the assigned resource may be removed from the first tenant such that the first tenant is isolated from the resource.

Abstract: An open-ear Bluetooth® earphone includes an earphone body and a support frame. The support frame is configured to be plugged into a cavum concha of a wearer. The earphone body is provided with an audio source, and the support frame is installed on the earphone body and corresponds to the audio source. When in use, the support frame is configured to be firmly plugged into the cavum concha of the wearer to allow the earphone body to be worn on the ear of the wearer. The audio source corresponds to the ear canal of the wearer through the support frame, so that the sound emitted from the audio source is transmitted into the ear canal through the support frame. The audio source is directly opposite of the ear canal through the support frame to shorten the distance between the audio source and the ear canal.

Abstract: An open-ear earphone includes a housing, a chamber is provided inside the housing, a speaker is provided inside the chamber and divides the chamber into a front chamber and a rear chamber. The housing is provided with a first sound hole and a second sound hole. The front chamber is communicated to the outside through the first sound hole, and the rear chamber is communicated to the outside through the second sound hole. The rear chamber includes a first volume down chamber and a second volume down chamber communicated to the first volume down chamber, and the first volume down chamber is located between the speaker and the second volume down chamber. The sound wave in backward motion generated by the speaker is transmitted to the outside from the second sound hole after being reduced by the first volume down chamber and the second volume down chamber.

Abstract: A multilayered rail guide vehicle system for use in three-dimensional planting in a plant factory and a control method therefor, the system includes an upper computer, cultivation shelves, traveling devices, lifting devices, and an electric control system. The traveling devices and the lifting devices are arranged in a body of a rail guide vehicle. The upper computer is in wireless communication with the electric control system. A nutrient solution tank is arranged on each of the cultivation shelves, and a plurality of cultivation positions are arranged on the nutrient solution tank. The electric control system is arranged in the body of the rail guide vehicle, so as to obtain an operation mode and target information after receiving a task instruction transmitted by the upper computer, select and switch a positioning mode, and drive the traveling devices and the lifting devices to perform traveling and lifting positioning according to operation procedures.

Abstract: A multilayered rail guide vehicle system for use in three-dimensional planting in a plant factory and a control method therefor, the system includes an upper computer, cultivation shelves, traveling devices, lifting devices, and an electric control system. The traveling devices and the lifting devices are arranged in a body of a rail guide vehicle. The upper computer is in wireless communication with the electric control system. A nutrient solution tank is arranged on each of the cultivation shelves, and a plurality of cultivation positions are arranged on the nutrient solution tank. The electric control system is arranged in the body of the rail guide vehicle, so as to obtain an operation mode and target information after receiving a task instruction transmitted by the upper computer, select and switch a positioning mode, and drive the traveling devices and the lifting devices to perform traveling and lifting positioning according to operation procedures.

Abstract: The present invention provides a prediction method and system of high slope deformation. First, historical deformation data of each period of each part of a high slope is obtained as sample data; the sample data is divided into training samples and test samples; then a parameter group of a Support Vector Machine (SVM) model is optimized by using the training samples and a particle Swarm Optimization (PSO) algorithm to determine an optimal parameter group of the SVM model, to obtain a trained SVM model; whether the trained SVM model satisfies a condition is verified by using the test samples, and when the SVM model does not satisfy the condition, an optimal parameter group of the SVM model is re-determined; and finally the deformation of each area of the high slope is predicted by using the SVM model that satisfies the condition.

Abstract: A dam slope deformation monitoring system and method are provided. The monitoring system monitors an entire dam in a reservoir area by using an unmanned aerial vehicle (UAV) photogrammetry system, and determines an encrypted monitoring area (steep slope) with the relatively large deformation and a relatively large digital elevation difference; determines, in the intensive monitoring area, a first level key monitoring area with the larger deformation by using a ground-based radar interferometry measurement system; determines, in the first level key monitoring area, a second level key monitoring area with the larger deformation by using a ground-based three-dimensional lidar measurement system; determines, in the second level key monitoring area, a key monitoring particle with a high deformation speed by using a global navigation satellite system (GNSS). The core chip stack is used to monitor and warn the collapse process in the area where the key monitoring particles are located.

Abstract: The present disclosure provides a method and a system for precise location of a high slope collapse area. Firstly, the slope images in a long time series are obtained, the slope images in the long time series are composed into a two-dimensional slope deformation graph, and an area with the maximum deformation in the two-dimensional slope deformation graph is selected as a deformation area. Then, the deformation area is segmented by straight line, and the deformation region obtained by straight line segmentation is displayed in overlapping way in the slope images of long time series, and the region corresponding to the connecting line with the largest change range is selected as the monitoring line area from the overlapping image.

Abstract: A dam slope deformation monitoring system and method are provided. The monitoring system monitors an entire dam in a reservoir area by using an unmanned aerial vehicle (UAV) photogrammetry system, and determines an encrypted monitoring area (steep slope) with the relatively large deformation and a relatively large digital elevation difference; determines, in the intensive monitoring area, a first level key monitoring area with the larger deformation by using a ground-based radar interferometry measurement system; determines, in the first level key monitoring area, a second level key monitoring area with the larger deformation by using a ground-based three-dimensional lidar measurement system; determines, in the second level key monitoring area, a key monitoring particle with a high deformation speed by using a global navigation satellite system (GNSS). The core chip stack is used to monitor and warn the collapse process in the area where the key monitoring particles are located.

Abstract: The present invention provides a prediction method and system of high slope deformation. First, historical deformation data of each period of each part of a high slope is obtained as sample data; the sample data is divided into training samples and test samples; then a parameter group of a Support Vector Machine (SVM) model is optimized by using the training samples and a particle Swarm Optimization (PSO) algorithm to determine an optimal parameter group of the SVM model, to obtain a trained SVM model; whether the trained SVM model satisfies a condition is verified by using the test samples, and when the SVM model does not satisfy the condition, an optimal parameter group of the SVM model is re-determined; and finally the deformation of each area of the high slope is predicted by using the SVM model that satisfies the condition.

Abstract: A method for identifying HB red-corolla germplasm resources of upland cotton by PCR, including: amplifying genomic DNAs of the upland cotton by PCR using a pair of primers; performing gel electrophoresis on amplified products; and determining whether PCR products is derived from upland HB red-corolla cotton based on results of the gel electrophoresis.