Artificial Intelligence and Robotics Commons^™

Review On The Construction And Application Of Digital Twins In Transportation Scenes, Zhaohui Wu, Zhenzheng Liu, Shi Ke, Wang Liang, Xiaojie Liang

Journal of System Simulation

Abstract: Digital twins connect the physical world and the information world, and provide new ideas for the analysis and solution of complex traffic problems. The research and application status of digital twins in transportation scenes are reviewed on the basis of sorting out the basic concepts, development history and key technologies of digital twins. The key technologies for the construction of digital twins in transportation scenes that need to be breakthrough are analyzed from the four aspects of "people-vehicle-road-environment" combined with the characteristics of the elements of traffic operation. The prospect of digital twin transportation applications in the development of …

Modulation Recognition Algorithm Based On Improved Lda And Autoencoders, Yecai Guo, Haoran Zhang

Journal of System Simulation

Abstract: The traditional modulation recognition algorithms are based on the Gaussian white noise channel, which significantly degrade recognition performance in complex channel conditions. Aiming at this problem, a modulation recognition algorithm based on A-ALDA (Anti-alias Linear Discriminant Analysis) and SSDAE (Stacked Sparse Denoising Autoencoders) is proposed. In this algorithm, A-ALDA algorithm reconstructs signal cumulants feature into new features, which has better separability. The combination of original features and new features is input into SSDAE for classification, and SSADE has the ability to extract key information and resist noise. Simulation results show that …

Preliminary Research On Verification And Validation For Cgf Behavioral Modeling, Jianbing Tang, Zhang Qi, Jiao Peng, Yabing Zha

Journal of System Simulation

Abstract: Building computer generated force model is a very important job in combat simulation. Its core content is modeling of complicated human behavior, including cognition behavioral modeling and physical behavioral modeling. The credibility is vital for behavioral model. Verification and validation (V&V) in all life circle of behavioral modeling can insure the credibility of behavioral model. On the basis of explaining V&V of behavioral modeling and other conceptions, the process model of behavioral modeling is proposed. The V&V process of CGF behavioral modeling is studied emphasizly. Many effective V&V methods for CGF behavioral modeling are explored.

Refined Alignment Method For Single-Axis Rotary Inertial Navigation Based On Fuzzy Adaptive Filtering, Hu Jie, Xiaozhu Shi

Journal of System Simulation

Abstract: In order to restrain the influence of saw tooth velocity error caused by the inertial measurement unit (IMU) rotation on the initial alignment accuracy of single-axis rotary strapdown inertial navigation system (SINS), a refined alignment method based on fuzzy adaptive Kalman filtering is proposed. After calculating the ratio of actual covariance to theoretical covariance of the innovation sequence, the method adaptively adjusts the measurement noise covariance matrix by using the fuzzy inference system (FIS), so that it can adapt to the changes of measurement noise caused by IMU rotation. The initial alignment validation experiments under the swing environment …

Research On Virtual Avatar Position And Orientation Technology For Augmented Reality Virtual Sandbox, Tiantian Yu, Xiaoping Wang, Weiqing Li, Zhiyong Su

Journal of System Simulation

Abstract: When using augmented reality (AR) virtual sandbox for multi-person collaborative command or discussion, the local operator needs to know the specific direction and location of the remote operator to avoid wrong direction, position conflict and to better communicate with the other. Aiming at this problem, a three-dimensional marker suitable for AR environment is designed, and a vision-based position and orientation algorithm is researched and implemented. The PnP algorithm is used to estimate the pose of the marker, and the area ratio method is used to calculate the azimuth. The experimental results show that the proposed algorithm can achieve …

Flight Simulation Modeling Method Based On Improved Euler Angle Formula, Lishan Jia, Li Ang

Journal of System Simulation

Abstract: Aiming at the singularity problem of common full flight motion equation, a modeling method based on improved Euler angle formula is proposed. On the basis of the modified small perturbation modeling equation, this method increases the influence of aircraft maneuvering surface on the aircraft Euler angle and a variable step solution algorithm is used. The model can overcome the singularity problem of common Euler equation, and the accuracy of model calculation is higher than other flight simulation models which overcome the singularity of Euler equation. Compared with the flight simulation model using the conventional Euler angle formula, the proposed …

An Intelligent Method For Rapid Construction Of Time Sensitive Target Strike Chain, Jiabo Lu, Peixing Cheng, Huang Yi, Jinqiang Yao, Xuemeng Yang, Xinqiang Ma, Liu Yong

Journal of System Simulation

Abstract: In order to improve the construction efficiency of the time sensitive hit chain, optimize the resource allocation in combat, and realize an intelligent method for quickly constructing the time-sensitive strike chain, the simulated annealing algorithm and genetic algorithm are adopted to build a time sensitive hit chain. Simulation experiments show that the method can complete the time sensitive target strike priority sorting, sensor platform-target pairing and weapon platform-target pairing in a short time, and destroy the target within the target time window. The proposed method optimizes the application of sensors and weapons, compensates for the limitations of constructing time-sensitive …

Sliding Mode Adaptive Synchronization Control Dual Master Dual Slave Teleoperation System, Lingyan Hu, Shiqiang Li, Fu Yun

Journal of System Simulation

Abstract: Aiming at the relative coordinated motion of the two-slave arms' end poses in the dual-master dual-slave teleoperation system, the influence on the coordinated positional relationship of the two slaves is analyzed when one of the master-slave controls is disturbed. A feasible synchronous position control method is propose which enables both the master-slave position error and the synchronization error of the dual master dual slave remote operating system to converge to zero during the coordinated motion When the master-slave arm moves along the desired trajectory, the coordination and synchronization of the movement between the two slave arms are ensured, and …

Simulation Experiment Of Quantum Ranging Process Based On The “Mozi” Quantum Satellite, Cong Shuang, Shiqi Duan

Journal of System Simulation

Abstract: The simulation experiment researches about two key processes of earth-satellite quantum ranging process are carried out, including the transmission and reception about the photon pairs based on the acquisition, tracking and pointing (ATP) system, and the calculation about the time difference of arrival (TDOA) of entangled photon pairs by the coincidence counting principle. Motion trajectory of the quantum satellite “Mozi” based on its six orbital parameters and the acquisition, tracking and pointing process to the optical signal from satellite to ground users are simulated. The function and structure of the acquisition tracking and pointing system are analysed, and a …

Ar-Based Simulation Interaction And Human Factor Assessment For Human Robot Cooperation Assembly Planning, Wang Qiang, Xiumin Fan, Qichang He, Wenmin Zhu

Journal of System Simulation

Abstract: To improve assembly efficiency, it has become a trend for traditional manual assembly workstations to be carried out human-robot collaboration transformation. To realize the safe and fast evaluation of the improvement scheme, a general human-robot collaboration simulation method and human factor evaluation method based on Augmented Reality are proposed. Four levels of human-robot collaboration assembly simulation are established. An interactive scheme between real human and virtual robot for visual detection, perception and feedback is established. A fuzzy comprehensive evaluation model of human physiological and psychological indicators for workstation design is constructed. The prototype system is developed. Taking the assembly …

Study On The Scattering Echo Signal Simulation Method Of Sea Scene For Wide-Band Phased Array Radar, Guijie Diao, Ni Hong, Yang Liang, Ningbo Gong, Guo Jiao

Journal of System Simulation

Abstract: Aiming at the problem of fast and accurate simulation of sea -scene scattering echo for wide-band phased array radar in radio frequency simulation, an efficient calculation method is proposed based on the time-domain approximation and frequency-domain transform. The frequency-domain transform method is used to calculate the scattering echo signal accurately, and the time-domain approximation method is used to calculate the echo signal of the large area of sea-clutter background. Then the scattering echo signal for wide-band phased array radar of the sea-scene is generated through vector summation. The simulation results validate this hybrid method. It shows that this hybrid …

Infrared Image Segmentation Of Aircraft Skin Based On Otsu And Improved I-Ching Divination Evolutionary Algorithm, Kun Wang, Ji Yao, Peilun Liu, Wang Li

Journal of System Simulation

Abstract: Infrared thermal imaging non-destructive testing is one of the commonly used methods for aircraft skin detection. Aiming at Otsu's large computational complexity and poor real-time performance, an aircraft skin infrared image segmentation method based on Otsu and an improved I-Ching divination evolutionary algorithm (IDEA) is proposed. The roulette selection operator is improved by using roulette selection for the I-Ching map of state size 3n, from which the n individuals with the maximum fitness values are then selected as new populations. The experimental results show that the proposed algorithm is superior to several other improved optimization algorithms both in terms …

Simulation And Analysis For Gaussian Jitter Effects Of Geosynchronous Satellite, Yulun Li, Yang Wei, Jiayi Guo

Journal of System Simulation

Abstract: Ultrahigh-spatial-resolution and high-temporal-revisit appear to be realizable for future space-borne imaging missions. By taking advantage of satellites on the geosynchronous orbit, the wide-area continuous monitoring capacity to ground target zones becomes possible. Focus on the imaging target displacement, it is necessary to study the platform jitter during the conceptual modeling phase. Discrete Event System Specification (DEVS) is employed to abstract the observation area as an event generator. The attitude stabilization is digitalized and both theoretical analysis and simulation experiments of Gaussian-excited signals are provided. Simulation results show that the distributions of attitude responses preserve the normality. The offset distance …

Three-Dimensional Adaptive Neural Network Guidance Law Against Maneuvering Targets, Yujie Si, Xiong Hua, Zhe Li

Journal of System Simulation

Abstract: The problem of designing a three-dimensional nonlinear guidance law accounting for saturation nonlinearity is concentrated to attack maneuvering targets. To solve the physical constraints of missile actuators, an anti-disturbance and anti-saturation terminal sliding mode guidance law is provided based on radial basis functions neural networks and adaptive method. The guidance law is bounded and ensures that the system state is uniformly ultimately bounded. Compared with the traditional anti-saturation guidance law, it has the advantages of fast convergence speed and high precision. Numerical simulations are introduced to demonstrate the effectiveness and superiority of the designed composite guidance law in theory.

Simulation Of Adaptive Track Control Of Ship Bending In Inland River Curved Channel, Langxiong Gan, Changsheng Wu, Deng Wei, Yuanzhou Zheng, Chunhui Zhou

Journal of System Simulation

Abstract: In view of the complex flow characteristics and difficult maneuvering of ships in curved river section, combined with the characteristics of ship AIS trajectory and customary route, the intelligent track and heading control algorithm is adopted to realize the automatic control of ship's safe turning. Firstly, the research waters are selected and according to the rules of lane-dividing navigation, the ship's turning track is reasonably planned. Then the ship motion simulation software is constructed, and the self-adaptive fuzzy PID course controller is designed by combining the self-adaptive fuzzy control algorithm and traditional PID control, the simulation of …

Correction Method Of Action Parameters Of Panzer Virtual Force Tactical Confrontation, Gao Ang, Xiaolu Wang, Zhiming Dong, Guohui Zhang

Journal of System Simulation

Abstract: Aiming at the problem of unreasonable virtual force tactical confrontation action parameters in the simulation training of armored force equipment system, resulting in unsatisfactory training effects, the idea of estimating posterior probability with prior probability is adopted to correct the parameters. According to the OODA theory, the tactical confrontation movement of armored forces is decomposed and an index system of influencing factors is constructed; the parameter collection method is proposed to establish the Bayesian network correction model and to realize dynamic adjustment; the expected optimization algorithm and the principal component analysis method are used to process the training data …

Negative Influence Minimization Algorithm For Social Networks, Yang Yi, Chunxiao Wu, He Ming, Zhou Bo

Journal of System Simulation

Abstract: While positive information is spreading in social networks, there is still a large amount of negative information spreading in the network. Aiming at the fact that there is few researches on suppressing the spread of negative information, a negative influence minimization algorithm for social networks is proposed. When negative information appears in social networks and some initial nodes are infected, the behavior of nodes propagating information depends on its coordination game with neighbor nodes. The objective function with minimal influence is used to find the K optimal blocking nodes, and finally the size of the final infected node is …

Addressing Artificial Intelligence Bias In Retinal Diagnostics, Philippe Burlina, Neil Joshi, William Paul, Katia D Pacheco, Neil M Bressler

Faculty, Staff and Students Publications

PURPOSE: This study evaluated generative methods to potentially mitigate artificial intelligence (AI) bias when diagnosing diabetic retinopathy (DR) resulting from training data imbalance or domain generalization, which occurs when deep learning systems (DLSs) face concepts at test/inference time they were not initially trained on.

METHODS: The public domain Kaggle EyePACS dataset (88,692 fundi and 44,346 individuals, originally diverse for ethnicity) was modified by adding clinician-annotated labels and constructing an artificial scenario of data imbalance and domain generalization by disallowing training (but not testing) exemplars for images of retinas with DR warranting referral (DR-referable) from darker-skin individuals, who presumably have greater …

Terrace-Based Food Counting And Segmentation, Huu-Thanh Nguyen, Chong-Wah Ngo

Research Collection School Of Computing and Information Systems

This paper represents object instance as a terrace, where the height of terrace corresponds to object attention while the evolution of layers from peak to sea level represents the complexity in drawing the finer boundary of an object. A multitask neural network is presented to learn the terrace representation. The attention of terrace is leveraged for instance counting, and the layers provide prior for easy-to-hard pathway of progressive instance segmentation. We study the model for counting and segmentation for a variety of food instances, ranging from Chinese, Japanese to Western food. This paper presents how the terrace model deals with …

3d Object Detection, Instance Segmentation And Classification From 3d Range And 2d Color Images, Xiaoke Shen

Dissertations, Theses, and Capstone Projects

We address the problem of 3D object detection and instance segmentation by proposing a novel object segmentation and detection system. First, we detect 2D objects based on RGB, Depth only, or RGB-D images. A 3D convolutional-based system, named Frustum VoxNet, is proposed. This system 1) generates frustums from 2D detection results, 2) proposes 3D candidate voxelized images for each frustum, and uses a 3D convolutional neural network (CNN) based on these candidates voxelized images to perform the 3D instance segmentation and object detection. Although the volumetric data representation is widely used for 3D object classification, there are fewer works on …