Abstract: The present disclosure belongs to the technical field of new energy utilization, and provides an offshore oscillating water column wave energy conversion device with an external permeable structure. The offshore oscillating water column wave energy conversion device with the external permeable structure comprises an oscillating water column system, an anchoring fixing system and a permeable structure. According to the offshore oscillating water column wave energy conversion device with the external permeable structure provided by the present disclosure, the offshore oscillating water column wave energy conversion device and the permeable structure are effectively combined. Using an offshore floating structure, the offshore oscillating water column wave energy conversion device with the external permeable structure can be applied to deep and far sea areas with higher wave energy density, and the output power of the device can be effectively improved.

Abstract: The invent relates to an intelligent fault monitoring method based on high-order information enhanced recurrent neural network, for real-time fault monitoring of sewage treatment process. The invent includes two phases of offline modeling and online monitoring. In offline phase, the original data is extracted into high-dimensional high-order information features using OCIA, which can effectively deal with the non Gaussian feature of the data and solve the correlation between variables. Then the extracted features are trained by DRNN. In the online phase, the data are directly mapped to new high-order feature components, and to be discriminated in category by the DRNN network after trained offline. If there is no fault, then the results get into the monitoring model composed of simple OICA for unsupervised monitoring. If no fault is detected, it is determined that there is no fault in the process.

Abstract: This application discloses a method for displaying a virtual environment picture performed by a computer device. The method includes: displaying a first virtual environment picture obtained by observing a virtual environment by using a first observation position; displaying, in response to receiving a first directional instruction generated by a first directional operation, a directional skill indicator pointing to a first direction; and in accordance with a determination that a length of the directional skill indicator is greater than a distance threshold in the first virtual environment picture, displaying a second virtual environment picture obtained by observing the virtual environment by using a second observation position, the second virtual environment picture including the directional skill indicator, and the second observation position being in the first direction of the first observation position or in a surrounding region in the first direction.

Abstract: This application discloses a method for operating virtual characters within a virtual environment performed by a computer device. The method includes: displaying a first virtual environment picture of a virtual environment, the first virtual environment picture including a first region obtained by using a first observation position and a master virtual character located in the virtual environment; displaying, in response to receiving an aiming operation, a regional skill indicator configured to select a target region in the virtual environment where the master virtual character releases a skill; and displaying a second virtual environment picture including a second region obtained by observing the virtual environment by using a second observation position, the second observation position being a position that is offset relative to the first observation position, and the second region including the target region, thereby improving the accuracy of aiming at a target.

Abstract: The present disclosure provides a target detection method, target detection system and non-volatile storage medium. The target detection method includes: acquiring an image to be detected and anchor parameters of preset type number, wherein the anchor parameters are parameters of an anchor set on the image to be detected, and each type of anchor parameters include an anchor scale and an anchor aspect ratio; inputting the image to be detected and the anchor parameters into a target detection model; and carrying out target detection on the image to be detected on the basis of the anchor parameters by the target detection model to obtain a detection result, the detection result including a category and/or a position of a target object included in the image to be detected.

Abstract: A method, device and system for a method, device, and system for automatically adjusting driver-related in-vehicle equipment, the method including the steps of: acquiring a driver's height from a detection device of a vehicle; determining preset values of additional body parameters of the driver based on the driver's height and calculating a position for entry using the driver's height and the preset values of the additional body parameters of the driver; and adjusting the equipment including a driver's seat to the position for entry so as to facilitate the driver to enter the vehicle and sit on the seat.

Abstract: The present invention discloses a bullet with a negative Poisson's ratio effect and a method of designing thereof. The bullet includes a cylindrical section of the bullet having a negative Poisson's ratio design, and a conical tail of the bullet and a tip of the bullet each with a matching design; the cylindrical section of the bullet is a tubular structure having periodically alternating transverse and vertical holes; the tubular structure includes a plurality of holes, with a center axis of one hole being axially perpendicular to a center axis of another adjacent hole, that is, the axis of each hole being structurally orthogonal to an adjacent hole; and the holes in rows and columns are periodically arranged into the tubular structure, which is a tubular structure having the negative Poisson's ratio effect.

Abstract: An ultrasonic peening-type integrated machining method for cutting and extrusion includes: applying transverse ultrasonic vibration or a vibration component, which is vertical to a cutting speed direction to a cutting tool on a machine tool; setting a cutting parameter and an ultrasonic vibration parameter such that a dynamic negative clearance angle is generated in a cutting procedure and a flank face of the cutting tool conducts ultrasonic peening extrusion on the surface of the workpiece; setting an extrusion overlap ratio; setting a wear standard of flank faces extruded by the cutting tool; controlling a vibration cutting trajectory phase difference of the cutting tool during two adjacent rotations; and turning on the machine tool in order to ensure that cutting and surface extrusion strengthening of the workpiece are completed in one procedure without separate strengthening procedures. The method conducts extrusion strengthening on the surface of the workpiece while cutting the workpiece.

Abstract: An ultrasonic peening-type integrated machining method for cutting and extrusion includes: applying transverse ultrasonic vibration or a vibration component, which is vertical to a cutting speed direction to a cutting tool on a machine tool; setting a cutting parameter and an ultrasonic vibration parameter such that a dynamic negative clearance angle is generated in a cutting procedure and a flank face of the cutting tool conducts ultrasonic peening extrusion on the surface of the workpiece; setting an extrusion overlap ratio; setting a wear standard of flank faces extruded by the cutting tool; controlling a vibration cutting trajectory phase difference of the cutting tool during two adjacent rotations; and turning on the machine tool in order to ensure that cutting and surface extrusion strengthening of the workpiece are completed in one procedure without separate strengthening procedures. The method conducts extrusion strengthening on the surface of the workpiece while cutting the workpiece.

Abstract: Provided are neural network-based image processing method and apparatus, and a computer-readable storage medium. The image processing method includes: inputting an image into an optimized neural network; extracting, by the optimized neural network, image features of the image; and outputting the image features, wherein the optimized neural network is obtained by performing a first optimization process on at least one sub-layer in a pre-trained initial neural network, each sub-layer of the at least one sub-layer includes a convolutional layer, and the first optimization process comprises: for each sub-layer of the at least one sub-layer, determining one or more channels to be removed from a filter of the convolutional layer and removing said one or more channels, and optimizing parameters of remaining channels in the filter of the convolutional layer, so that error of output features of each optimized sub-layer is minimized.

Abstract: A packet of data and a packet-identification value are transmitted to a network device having an identifier. The stored packet-identification value and the identifier are recorded. The stored packet-identification value is then increased and the process repeats. To receive data, an expected identification value is stored in association with the identifier. A packet and a packet-identification value are received from the network device. The identifier and an indication of receipt are stored. If the received value does not match the expected value for the identifier, the received value is stored. If the values match, the stored packet-identification value and identifier are recorded. If the received value exceeds the expected value, the stored packet-identification value, the identifier and the received identifier are recorded. Subsequently, the stored expected value is increased. The process repeats. Network devices and systems are described.

Abstract: A separative high-pressure cooling and lubrication method is provided. The method includes: S1: apply ultrasonic vibration on the cutting tool on a machine tool; S2: deliver high-pressure cutting fluid to a jet nozzle so as to spray the high-pressure cutting fluid to the cutting zone of the ongoing process. The method also includes: S3: set cutting parameters and ultrasonic vibration parameters to adjust the separation amount ? between the cutting tool and workpiece, and adjust the pressure of the high-pressure cutting fluid; S4: when the cutting tool and the workpiece separate completely with each other periodically, the high-pressure cutting fluid enters and flows through the interior of cutting zone, forming liquid film on the surfaces of the cutting tool and the workpiece. In step S4, the cutting tool and the workpiece and cooled, and liquid film is formed on the surfaces of the cutting tool and the workpiece.

Abstract: The present disclosure provides a target detection method, target detection system and non-volatile storage medium. The target detection method includes: acquiring an image to be detected and anchor parameters of preset type number, wherein the anchor parameters are parameters of an anchor set on the image to be detected, and each type of anchor parameters include an anchor scale and an anchor aspect ratio; inputting the image to be detected and the anchor parameters into a target detection model; and carrying out target detection on the image to be detected on the basis of the anchor parameters by the target detection model to obtain a detection result, the detection result including a category and/or a position of a target object included in the image to be detected.

Abstract: Provided are image processing method and apparatus for processing an input image using a convolutional neural network system, and a computer-readable storage medium. The convolutional neural network system that includes an input layer, an intermediate layer and an output layer, the image processing method includes: receiving the input image via the input layer; extracting image features of the input image via the intermediate layer; and outputting processing results for the input image via the output layer, wherein the intermediate layer includes at least one network block each of which includes a first convolutional layer, a first grouping rearrangement layer and a second convolutional layer that are cascaded.

Abstract: Provided are neural network-based image processing method and apparatus, and a computer-readable storage medium. The image processing method includes: inputting an image into an optimized neural network; extracting, by the optimized neural network, image features of the image; and outputting the image features, wherein the optimized neural network is obtained by performing a first optimization process on at least one sub-layer in a pre-trained initial neural network, each sub-layer of the at least one sub-layer includes a convolutional layer, and the first optimization process comprises: for each sub-layer of the at least one sub-layer, determining one or more channels to be removed from a filter of the convolutional layer and removing said one or more channels, and optimizing parameters of remaining channels in the filter of the convolutional layer, so that error of output features of each optimized sub-layer is minimized.

Abstract: A packet of data and a packet-identification value are transmitted to a network device having an identifier. The stored packet-identification value and the identifier are recorded. The stored packet-identification value is then increased and the process repeats. To receive data, an expected identification value is stored in association with the identifier. A packet and a packet-identification value are received from the network device. The identifier and an indication of receipt are stored. If the received value does not match the expected value for the identifier, the received value is stored. If the values match, the stored packet-identification value and identifier are recorded. If the received value exceeds the expected value, the stored packet-identification value, the identifier and the received identifier are recorded. Subsequently, the stored expected value is increased. The process repeats. Network devices and systems are described.

Abstract: Trace data are compressed by storing a compression table in a memory. The table corresponds to results of processing a set of training trace data using a table-driven compression algorithm. The trace data are compressed using the table according to the algorithm. The stored compression table is accessed read-only. The table can be determined by automatically processing a set of training trace data using the algorithm and transforming the compression table produced thereby into a lookup-efficient form. A network device includes a network interface, memory, and a processor that stores the table in the memory, compresses the trace data using the stored compression table according to the table-driven compression algorithm, the stored table being accessed read-only during the compressing, and transmits the compressed trace data via the network interface.

Abstract: A packet of data and a packet-identification value are transmitted to a network device having an identifier. The stored packet-identification value and the identifier are recorded. The stored packet-identification value is then increased and the process repeats. To receive data, an expected identification value is stored in association with the identifier. A packet and a packet-identification value are received from the network device. The identifier and an indication of receipt are stored. If the received value does not match the expected value for the identifier, the received value is stored. If the values match, the stored packet-identification value and identifier are recorded. If the received value exceeds the expected value, the stored packet-identification value, the identifier and the received identifier are recorded. Subsequently, the stored expected value is increased. The process repeats. Network devices and systems are described.

Abstract: A high-speed precision interrupted ultrasonic vibration cutting method includes steps of: (1) installing an ultrasonic vibration apparatus on a machine tool, and stimulating a cutting tool to generate a transverse vibration, so as to realize varieties of machining processes; (2) realizing an interrupted cutting process by setting cutting parameters and vibration parameters to satisfy an interrupted cutting conditions; and (3) turning on the ultrasonic vibration apparatus and the machine tool, and starting a high-speed precision interrupted ultrasonic vibration cutting process. High-speed precision interrupted ultrasonic vibration cutting is able to be realized through the above steps during machining of difficult-to-machine materials in aviation and aerospace fields.