Abstract: A zero-stiffness impact isolation device includes a shell, a half-hourglass-shaped boss, a sliding block, a spring, a motion guide assembly, and an inner core. Where the motion guide assembly includes a linear bearing fixed to the shell and the inner core and a corresponding sliding rod, and is divided into a transverse guide assembly and a longitudinal guide assembly. The spring is sleeved outside the sliding rod of the transverse motion guide assembly, and two ends of the spring are in contact with the sliding block and the inner core, respectively. When the device suffers from external impact load, the inner core and the separated object carry out a reciprocating motion, the sliding block is extruded by the half-hourglass-shaped boss to move side to side with respect to the inner core, and the spring provides elastic force to the sliding block in the process.

Abstract: Provided are a method and device for determining a motion trajectory of a target. The method includes: acquiring a transmitted signal, a first echo signal, and a second echo signal of a frequency modulated continuous wave radar; performing a coherent operation on the transmitted signal and the first echo signal, to determine a beat signal therebetween; performing a two-dimensional fast Fourier transform on the beat signal to determine an initial position of the target; performing a short-time Fourier transform on the beat signal to determine a radial velocity of the target; calculating a difference frequency signal between the first and second echo signals; determining a tangential velocity of the target according to the difference frequency signal; inputting the initial position, the radial velocity, and the tangential velocity to a Kalman filter, and receiving a motion trajectory of the target output by the Kalman filter.

Abstract: A balance for air resistance testing is provided. The air resistance testing comprises 2N dual-hole beam sensors and an upper plate; wherein, the 2N dual-hole beam sensors are arranged beneath the upper plate and fixed to the upper plate; each dual-hole beam sensor comprises a beam, an upper hole and a lower hole, the upper hole and the lower hole are arranged along the longitudinal direction of the beam, the upper hole is arranged at the upper part of the beam, and the lower hole is arranged at the lower part of the beam.

Abstract: A method for urban scene reconstruction uses the top view of a scene as priori information to generate a UVA initial flight path, optimizes the initial path in real time, and realizes 3D reconstruction of the urban scene. There are four steps: (1): to analyze the top view of a scene, obtain the scene layout, and generate a UAV initial path; (2): to reconstruct the sparse point cloud of the building and estimate the building height according to the initial path, combine the scene layout to generate a rough scene model, and adjust the initial path height; (3): to use the rough scene model, sparse point cloud and the UAV flight trajectory to obtain the scene coverage confidence map and the details that need close-ups, optimize the flight path in real time; and (4): to obtain high resolution images, reconstruct them to obtain a 3D model of the scene.

Abstract: This invention disclosed a system and method for characteristics measurement of electromagnetic signals. The measurement system comprises a multi-repetition-rate pulsed light source, a frequency mixer for electrical signal and optical signal, and a data acquisition and processing device. The measurement system accurately determines the characteristic information of the signal to be measured, such as frequency, phase, intensity, and their variations, by measuring the low frequency mixed signal generated by the multi-repetition-rate pulsed light source and the signal to be measured in the frequency mixer. This system has the advantages of simple structure, high measurement accuracy, low cost and large measurable frequency range. The system can be applied to the measurement of various electromagnetic signals, covering the spectral range from microwave, millimeter wave, to terahertz and even light wave.

Abstract: Disclosed in the present disclosure is a representation learning-based star identification method, which utilizes an end-to-end and representation learning based neural network model RPNet, for fast, efficient, and robust full-sky star identification tasks. The RPNet learns a unique star pattern for each star from a huge amount of random simulated star image samples, then a classification is made on these star patterns learned before. The RPNet comprises two parts: (1) a star pattern generator (SPG) based on a star pattern generation network to generate unique star patterns for the star image samples; (2) a star pattern classifier (SPC) to classify the unique star patterns generated on the front end. And a weight search verification algorithm is also proposed in the invention for filtering and verification of main stars of the GRSs identified by the RPNet, which further improves tremendously the identification ability for a single star image.

Abstract: The present disclosure provides a compact bionic eye device based on a two-degree-of-freedom electromagnetically-driven rotating mechanism, which can be used as a vision sensor of bionic robots such as humanoid robots. The compact bionic eye device includes a rotor, stator cores, windings, an angular displacement camera, a spherical hinge pressing block, a stator connector, a camera, a spherical hinge, a camera connector, a rotor connector and an outer spherical shell. According to the compact bionic eye device of the present disclosure, the rotor is driven to achieve limited rotation with pitching and yawing degrees of freedom by regulating a current of the windings of four stators. By adopting a two-degree-of-freedom of electromagnetically-driven rotating mechanism which is compact in structure, the bionic eye device of the present disclosure can achieve a human eye size, and provides important foundation for practical application of bionic eyes in humanoid robots.

Abstract: A chip security analysis method based on Petri net has five steps: 1, analyzing the behavior of a chip, the description file and its hierarchy; 2, establishing a Petri net model of a bottom unit; 3, integrating the Petri net model of the bottom unit into the Petri net model of an intermediate unit; 4, establishing the Petri net model of a top unit; 5, carrying out credibility analysis and hardware Trojan attack diagnosis based on the Petri net model. According to the present disclosure, the security hazards of hardware Trojan to chips are analyzed, and a chip security analysis method is proposed, which is a new method for quantitatively analyzing chip security based on the Petri net model, thus providing a new approach for security measurement and protection of integrated circuits.

Abstract: The invention provides a vectorized representation method of a software source code. The vectorized representation method is an AST-based neural network which is a hierarchical vector representation method comprising the following implementation steps: step 1-1, converting an original software source code into an AST at the lowest layer, and then further dividing the AST according to source code statements to acquire a smaller statement tree sequence, wherein statement trees in the statement tree sequence are different in sequence, and the statement tree sequence is consistent with an original statement sequence; step 1-2, encoding the statement trees into statement vectors e1, e2, . . .

Abstract: An acceleration sensor with differential graphene resonant beams includes a substrate, a sensitive mass plate, a first insulating layer, a second insulating layer, a first excitation electrode pair, a first graphene resonant beam, a second graphene resonant beam, a third insulating layer, a second excitation electrode pair, and a vacuum cover. An indirect acceleration-sensitive mode is adopted, so that the sensitive mass block directly senses acceleration to be measured, and converts the acceleration to be measured into a concentrated force to cause axial displacement of the sensitive mass block and then to cause a change in the axial stress of the graphene resonate beams, thereby causing a change in the resonant frequency of the beams.

Abstract: The application discloses a low-altitude air route planning and design method, device and storage medium for UAV with multi-objective constraints. First of all, initial air route points and air route network are set based on the urban low-altitude demand, then constraints such as conflict constraints, three zones constraints, and traffic demand constraints are introduced, the optimal multi-objective function such as the airspace capacity, operation cost, operation safety and so on is realized by moving air route points and reconstructing air route network, and the low-altitude air route networks of corresponding UAV is designed for different low-altitude environments.

Abstract: A method and system for predicting a road network congestion propagation situation based on an epidemic model is provided. The method includes: obtaining road network data at a current time point; classifying the road network data based on road section types to obtain a road section set of each road section type; predicting a road network congestion situation at each time point within a predetermined time period based on the road section set of each road section type and the epidemic model to obtain road network prediction data; obtaining road network congestion propagation evaluation indexes, comprising a propagation scale, propagation duration, and a propagation velocity; and analyzing the road network prediction data based on the road network congestion propagation evaluation indexes to obtain the road network congestion propagation situation at the current time point.

Abstract: A method of preparing antimicrobial surface on medical devices: first, producing multi-functional surface with bacterial anti-adhesion and self-cleaning functions through single-stop ultrafast laser fabrication approach for development of micro/nano patterns, then producing bactericidal thin film through depositing metal nanoparticles on those micro/nano patterned surfaces. The combination of bacterial anti-adhesion and bactericidal film can inhibit initial bacterial adhesion and release heavy metal ions to kill the bacteria simultaneously. Meanwhile, the multi-functional surface with self-cleaning function can prevent the killed bacteria from accumulating at the substrate surface, thereby obtaining long-lasting antibacterial effect.

Abstract: The present disclosure provides a method, device and system for detecting a working state of a tower controller, the method includes: collecting voice data of a tower controller, and extracting a keyword from the voice data; acquiring a video image of the tower controller, and acquiring a gaze area of the tower controller from the video image; analyzing and detecting whether the tower controller has correctly accomplished an observation action according to the gaze area of the tower controller and the keyword. The present disclosure implements more efficient and accurate detection on the working state of the tower controller, and at the same time ensures the safety of an aircraft in an airport area and reduces a risk of colliding with other obstacles.

Abstract: A test method for an eye tracking algorithm creatively defines indicators for eye tracking algorithm performance test, and proposes a general environment and an overall process for the eye tracking algorithm performance test to realize the versatility of the eye tracking algorithm test, improve the algorithm development efficiency, shorten the development cycle, and provide a direction and reference for the algorithm development and iteration. The test method decouples the performance test of an eye tracking algorithm from development of the eye tracking algorithm itself, so that a test environment is not limited to a specific eye tracking algorithm and a general performance test environment for the eye tracking algorithm is established. The test method includes: defining indicators for the eye tracking algorithm performance test, defining an overall architecture of a performance test environment of the eye tracking algorithm, and proposing steps for performing the eye tracking algorithm performance test.

Abstract: A highly reliable STT-MRAM structure and an implementation method thereof are provided. The STT-MRAM structure includes: a memory block array, including a plurality of memory blocks; on-chip in-situ temperature sensors, for detecting an instantaneous temperature of each memory block; and a controller, which outputs a reading or writing operation signal based on the instantaneous temperature of each memory block detected by the on-chip in-situ temperature sensors, so as to modulate respective voltages and/or frequencies of reading and writing operations of each memory block. When the instantaneous temperature is too high, the voltages and/or frequencies of the reading and writing operations would be decreased, to the contrary when the instantaneous temperature is too low, the voltages and/or frequencies of the reading and writing operations would be increased, which expands a reliable working temperature range and lengthens a lifetime of the STT-MRAM structure.

Abstract: Provided is a multi-UAV continuous movement control method for energy efficient communication coverage. The method includes: determining observation information at a current moment, the observation information including one or more of the following: energy consumption information of a UAV, coverage indication information of users covered by a UAV network facilitated by the UAV or coverage fairness information of the UAV network; determining control information corresponding to the observation information using a DDPG model according to the observation information, wherein the DDPG model is generated from a DDPG algorithm with sample information as an input, the sample information indicating a mapping relationship between sampled observation information and sampled control information; and controlling the UAV to move according to the control information.

Abstract: This disclosure provides an UAV path planning method and device guided by the safety situation, UAV and storage medium, the method comprising: acquiring the image in the front view of the UAV, determining the type(s) of obstacle(s) and threat degree corresponding to each area, obtaining the coordinates of the obstacle(s) relative to the UAV in each area in the front view of the UAV and the distance from the obstacles in each area to the UAV, calculating the safety situation of each area according to the threat degree and distance corresponding to each area, calculating the cost data corresponding to each area according to the distance from each area to the target location and the safety situation of each area, determining the flight direction of the UAV according to the area with the minimum cost data.

Abstract: A computing in-memory system and computing in-memory method based on a skyrmion race memory are provided. The system comprises a circuit architecture of SRM-CIM. The circuit architecture of the SRM-CIM comprises a row decoder, a column decoder, a voltage-driven, a storage array, a modified sensor circuit, a counter Bit-counter and a mode controller. The voltage-driven includes two NMOSs, and the two NMOSs are respectively connected with a selector MUX. The modified sensor circuit compares the resistance between a first node to a second node and a third node to a fourth node by using a pre-charge sense amplifier. The storage array is composed of the skyrmion racetrack memories. The computing in-memory architecture is designed by utilizing the skyrmion racetrack memory, so that storage is realized in the memory, and computing operation can be carried out in the memory.

Abstract: An image salient object segmentation method and an apparatus based on reciprocal attention between a foreground and a background, and the method includes: obtaining a feature map corresponding to a training image based on a convolutional neural backbone network, and obtaining foreground and background initial feature responses according to the feature map; obtaining a reciprocal attention weight matrix, and updating the foreground and background initial feature responses according to the reciprocal attention weight matrix, to obtain foreground and background feature maps; training the convolutional neural backbone network according to the foreground and the background feature maps based on a cross entropy loss function and a cooperative loss function, to obtain a foreground and background segmentation convolutional neural network model; and inputting an image to be segmented into the foreground and background segmentation convolutional neural network model to obtain foreground and background prediction result