Abstract: The subject pertains to systems, methods, and devices to provide improved teamwork guidelines for collaborators in geographic simulation experiments, whereby the collaborators can be led to participate in the geographic simulation tasks according to the teamwork guideline and be instructed to implement the simulation tasks to achieve their goals. The invention can automatically recommend appropriate geographic simulation schemes for specific geographic problems and communicate simulation task information and dependencies. Novel guide cards can instruct teamwork in geographic simulation experiments. Thus, the cards can advantageously instruct, promote, or guide teamwork in geographic simulation experiments and enhance the efficiency of geographic problem-solving.

Abstract: A zero-watermarking method and device for BIM data, and a medium are provided, which relate to the field of watermarking information security technologies. Aiming at existing zero-watermarking method for the BIM data cannot resist primitive attacks, vertical stability of a model is used to construct a mapping relationship between primitive clusters and watermarking bits, calculate norms of primitives in each primitive cluster of the primitive clusters, take positivity and negativity of norm skewness measurement of the primitives as eigenvalues to construct a binary sequence, and performs an XOR process on the binary sequence and an original watermarking sequence to construct the zero-watermarking for the BIM data. Experimental results indicate that the zero-watermarking method has uniqueness, robustness and security.

Abstract: A dual watermarking method for trajectory data based on robust watermarking and fragile watermarking uses an encryption algorithm to construct robust watermark information, and then a farthest pair of feature points in a minimum convex hull of is set as constant points. Further quantization index modulation technology is used to embed robust watermark information into angles constructed from feature points and constant points. Finally, the angles and distance ratios constructed by trajectory points and constant points are used to group trajectory points. Within each group, spatiotemporal attributes of the trajectory points are taken as fragile watermark bits to be embedded in the distance ratios constructed by the trajectory points. A process of watermark detection is consistent with the embedding of watermark information. Watermarks embedded in the trajectory data based on the dual watermarking method have high robustness against translation, rotation, and scaling attacks.

Abstract: Disclosed in the present disclosure is a multi-scale analysis method for time series based on quantum walk, including (1). generating multi-scale and multi-feature sequences based on quantum walk; (2). screening feature sequences; (3). modeling and predicting time series based on regression analysis; (4). performing frequency domain and time domain-based result evaluation; and (5). performing experimental verification. The method of the present disclosure has the advantage that the multi-scale features of the quantum walk are applied to the analysis of time series, and by combining feature extraction methods under two rules, a model of an original time series is established based on extracted features by using linear, nonlinear and time-based regression methods. The analysis method for time series does not require pre-assumption such as stationarity assumption, and is a universal analysis method for time series.

Abstract: Disclosed are urban-region road network vehicle-passage flow prediction method and system based on a hybrid deep learning model. The method comprises: compiling statistics on traffic flow on the basis of vehicle-passage data of a checkpoint; performing spatial and temporal distribution feature analysis on vehicle-passage flow data of the checkpoint, and performing feature extraction according to an analysis result, so as to acquire a spatial and temporal influence factor; constructing and training a ConvLSTM and BILSTM hybrid deep learning model according to the spatial and temporal influence factor; performing synchronous prediction on traffic flow of an urban-region road network, selecting prediction loss functions and evaluation indicators, and performing visual representation on a result; and calculating a traffic flow variation degree by means of a linear time series prediction model Prophet, and performing traffic state identification, so as to realize traffic state pre-determination.

Abstract: A watermarking method for a high-definition map based on invisible characters includes: firstly, establishing mapping relations between invisible characters and bit characters, a space character, and decimal digits; and combining watermark characters with corresponding positions thereof, adding Hamming code into a watermark character sequence, and converting the watermark character sequence into invisible characters to construct a composite watermark character sequence. Before watermark detection, a sequence of elements in map data is scrambled according to logistic chaotic mapping, and then the composite watermark character sequence is embedded according to the scrambled sequence. During watermark detection, the data are preprocessed, a sequence during watermark embedding is obtained, and then watermark information is extracted, errors are corrected, and an error correcting code is removed after correction to obtain final watermark information.

Abstract: A generation method of zero watermarking for trajectory data, a detection method of zero watermarking for trajectory data, a generation device of zero watermarking for trajectory data, a detection device of zero watermarking for trajectory data, and a storage medium are provided. The generation method divides a trajectory based on a coordinate system constructed by trajectory feature points of trajectory data into blocks, and then the moment invariants of trajectory in each block are used to construct a watermark sequence, which can achieve copyright protection without modifying the trajectory data. In addition, since the generation method uses moment invariants which can represent overall features of the trajectory to construct the watermark sequence, the generation method has strong stability in the face of common attacks and can resist almost all common types of attacks.

Abstract: The present invention discloses a method for expressing traffic flow characteristics based on a quantum harmonic oscillator model, including: (1) constructing an energy eigenequation of a quantum harmonic oscillator (QHO) for vehicle movement, and converting the energy eigenequation to an Hermite polynomial; (2) solving traffic flow characteristic parameters using K-order Hermite polynomial approximation; and (3) expressing the traffic flow characteristic parameters on a sphere. On the premise of the autonomous decision of a driving strategy by a driver and centering on the objective limitation that the individual accurate state information in the long-distance expressway traffic flow is not observable, the dynamic evolution of the speed and the state of the vehicle is described using a quantum state, the driving state of the vehicle is expressed as the superposition state of three driving states, and the probability of the three states is represented using QHO model parameters.

Abstract: The present invention discloses a method for simulating stochastic oscillation in an individual-granularity long-distance expressway traffic volume using a quantum harmonic oscillator, which includes: firstly, describing the speed and position of a vehicle by a quantum superposition state, and constructing an energy eigenequation of the quantum harmonic oscillator to represent movement of the vehicle; secondly, constructing an n-order Hermite polynomial based on the energy eigenequation, constructing a quantum harmonic oscillator model for simulating the stochastic oscillation in the long-distance traffic flow in a mode featuring aliasing of multiple strategies, and optimizing a solution model; and finally, constructing a mapping mechanism between the probability and the traffic volume to simulate the traffic volume.

Abstract: The present invention discloses a characteristic modes decomposition method for traffic volume based on generation-filtering mechanism, which includes: firstly, the expressway traffic flow is regarded as a closed traffic system. According to the randomness of drivers, each driver is regarded as a separate particle to simulate its trajectory, and then the corresponding traffic modes are obtained according to the probability distribution of the trajectory under different parameters; secondly, taking different parameters of the quantum walk, the time evolution of the probability distribution of the traffic volume caused by different driving patterns at a station is obtained, and then performing the same for other different stations to generate a set of expressway traffic mode set; and finally, according to observed traffic volume data, the generated traffic modes are screened to inverse the mode structures of traffic volume.

Abstract: The present invention discloses a method for fitting modes of a traffic flow based on a quantum walk, including: (1) constructing a mode generator based on the quantum walk; (2) preparing multiple modes; (3) screening the modes; and (4) constructing a mapping mechanism between the modes and the traffic volume. The present invention takes the expressway traffic flow as a complex geographic spatial-temporal process formed by aliasing and coupling of a plurality of traffic modes with different structures, and attempts to realize modeling and simulation of the traffic flow from a multi-scale analysis view. Specifically, under a basic framework of an expressway network topological structure, all possible traffic modes in the expressway traffic flow are generated using quantum walks; and under the constraints of the observed traffic volume time series, the modes are screened based on a specific screening rule.

Abstract: The present invention discloses a quantum computing method for expressway traffic flow distribution simulation considering destination selection. The method comprises the following steps. (1) Construct an expressway exit and entrance network structure. (2) Use a complex number to represent direction-and-flow superposition states of vehicles. (3) Construct a model and setting parameters. (4) Simulate a quantum random walk. (5) Perform model check and time-space matching. and (6) Fit and compare the quantum random walk with real flow data. The present invention can simulate the characteristics of quasi-periodic oscillation and irregularity in expressway traffic flow, closely integrate traffic observation data and reveal the deep characteristics of traffic behavior from a new perspective, thus increasing the accuracy and efficiency of expressway traffic flow simulation.

Abstract: The invention discloses a fixed bed counter-current regeneration device for ion exchange resin and the method of use, relates to the field of ion exchange resin regeneration. The device comprises a cyclone separator, a regeneration reactor, a fully mixed resin reactor, a desorption solution storage tank, and a regenerant storage tank, wherein the cyclone separator is placed on top of the regeneration reactor, the upper part of the cyclone separator is connected to the fully mixed resin reactor.

Abstract: An earthworm reactor comprises a main body frame and multilayered reactor box bodies located in the main body frame. A bottom plate is arranged at the bottom of each layer of the main body frame, and the reactor box body is movably arranged on the bottom plate of each layer; an aerator pipe and a filtrate collecting pipe are arranged in the reactor box body of each layer; an aerating air supply pipe connected to the aerator pipe of each layer and a filtrate centralizing pipe connected to the filtrate collecting pipe of each layer are separately arranged on one side of the main body frame; the aerating air supply pipe is connected to an external aerating device and the bottom of the filtrate centralizing pipe is connected to an external liquid storage tank.

Abstract: A collaborative geographical modeling/simulating system and methods are provided for integrating virtual and physical objects. The collaborative geographical modeling/simulating system includes a geographical conceptual modeling device having a plurality of physically operable micro-geographical objects and a plurality of physically operable micro-data objects; and a collaborative control device coupled to the geographical conceptual modeling device and having a resource module having a plurality of virtual resource items and a management module to perform geographical analysis, geographical model construction, and geographical model simulation. The plurality of physically operable micro-geographical objects and the plurality of physically operable micro-data objects are associated with corresponding virtual resource items of the plurality of virtual resource items for the geographical analysis, geographical model construction, and geographical model simulation.

Abstract: The present invention discloses the Synthesis and application of MOFs/natural polymers composite beads adsorbents. To overcome the drawback of MOFs, in an embodiment, both novel MOFs/sodium alginate (MOFs/SA) and MOFs/chitosan (MOFs/CS) composite beads were prepared and characterized. Each composite beads include one or more of MIL-101 (Cr), MIL-100 (Cr), MIL-53 (Al), MIL-100 (Al), NH2-MIL-101 (Al), UIO-66, ZIF-8, ZIF-68, ZIF-67, and ZIF-9-67 nanoparticles. Adsorption of anionic contaminants onto the two composite beads was investigated and compared with pristine sodium alginate beads (SA) and chitosan beads (CS). The novel MOFs/SA beads all exhibit much higher adsorption capacity than SA beads; the novel MOFs/CS beads all exhibit much higher adsorption capacity than CS beads, which indicates that MOFs played a key role in the adsorption of anionic contaminants. The porous composite beads disclosed herein and related methods and devices may be used in adsorption technologies.

Abstract: The present invention discloses the Synthesis and application of MOFs/natural polymers composite beads adsorbents. To overcome the drawback of MOFs, in an embodiment, both novel MOFs/sodium alginate (MOFs/SA) and MOFs/chitosan (MOFs/CS) composite beads were prepared and characterized. Each composite beads include one or more of MIL-101 (Cr), MIL-100 (Cr), MIL-53 (Al), MIL-100 (Al), NH2-MIL-101 (Al), UIO-66, ZIF-8, ZIF-68, ZIF-67, and ZIF-9-67 nanoparticles. Adsorption of anionic contaminants onto the two composite beads was investigated and compared with pristine sodium alginate beads (SA) and chitosan beads (CS). The novel MOFs/SA beads all exhibit much higher adsorption capacity than SA beads; the novel MOFs/CS beads all exhibit much higher adsorption capacity than CS beads, which indicates that MOFs played a key role in the adsorption of anionic contaminants. The porous composite beads disclosed herein and related methods and devices may be used in adsorption technologies.

Abstract: A single-region-board type high temperature electrostatic dust collector comprising anode boards (1), a cathode board (2), emitting electrodes (3) and a high voltage power supply is provided. Two parallel corrosion resistant plates are grounded to form the anode boards (1). One corrosion resistant plate with the same shape and size as the anode boards (1) connects to the cathode of the high voltage power supply, so as to form the cathode board (2), which are suspended between the two anode boards (1) and parallel with the anode boards (1). The disk-shaped emitting electrodes (3) are uniformly embedded at two sides of the cathode board (2).

Abstract: Method and kit for constructing a random mutagenesis library. The method comprises providing a first expression vector comprising a target polynucleotide fragment, providing a pair of Vector-primers that are complementary to the vector portion of the first expression vector, wherein the Vector-primers comprise a second selection marker gene, and wherein the Vector-primers allow PCR amplification of the target polynucleotide; and performing a PCR reaction using the first expression vector as the template with the Vector-primers under error-prone PCR conditions in the presence of a thermostable DNA ligase, generating a second expression vector which comprises the second selection marker gene and a mutated target polynucleotide.

Abstract: Hydroxypropyl-sulfobutyl-&bgr;-cyclodextrin, the preparation method, analytical method, and the pharmaceutical application thereof. The hydroxypropyl-sulfobutyl-&bgr;-cyclodextrin is a derivate of cyclodextrin which is substituted by hydroxypropyl group and sulfobutyl group: n-(2,3,6-O-2-hydroxypropyl)-m-(2,3,6-O-sulfobutyl)-&bgr;-cyclodextrin. The number of substituent groups per mole cyclodextrin is n hydroxypropyl groups and m sulfobutyl groups. “n” represents the average substituent degree of hydroxypropyl groups; “m” represents the average substituent degree of sulfobutyl groups; “n+m=z” is the gross average substituent degree, in which n is a random integer chosen from 1, 2, 3, 4, 5, 6, 7, 8, 9; m is a random integer chosen from 1, 2, 3, 4, 5, 6, 7, 8, 9; and the gross average substituent degree z is a random integer chosen from 2, 3, 4, 5, 6, 7, 8, 9, 10. The present invention shows low haemolysis and low toxicity.