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Articles 9091 - 9120 of 11634
Full-Text Articles in Entire DC Network
Ads-B In Based Conflict Prediction And Conflict-Free Trajectory Planning For Multi-Aircraft, Siyuan Zhang, Xianying Li, Xiaoyun Shen
Ads-B In Based Conflict Prediction And Conflict-Free Trajectory Planning For Multi-Aircraft, Siyuan Zhang, Xianying Li, Xiaoyun Shen
Journal of System Simulation
Abstract: For free flight of future, it is necessary to continuously detect conflicts and plan safe flight paths. Through in-depth analysis of detection principle of TCAS, combined with the characteristics of ADS-B data, the target within the scope of ADS-B IN surveillance is classified and given a risk factor, and the TCAS function is implemented in the ADS-B IN simulation software. For complex conflict scenarios with multi-aircraft, by meshing the conflict region and discretizing the flight procedure, the genetic algorithm is then used to calculate the optimal conflict-free trajectory based on risk factors. Two common multi-aircraft conflict scenarios are …
Research On Sins/Gps Integrated Navigation System Based On Grid Reference Frame For Transpolar Aircraft, Lijun Song, Zhe Li, Qiangwen Fu, He Bo
Research On Sins/Gps Integrated Navigation System Based On Grid Reference Frame For Transpolar Aircraft, Lijun Song, Zhe Li, Qiangwen Fu, He Bo
Journal of System Simulation
Abstract: The mechanics equations of grid navigation system are improved and analyzed in the paper. It is simulated that the SINS/GPS Integrated Navigation System works in the low latitude region and the polar regions. The theoretic is supported by the research of the SINS/GPS Integrated Navigation System working in the polar regions. The result of simulation shows that the performance of SINS/GPS Integrated Navigation System is improved and the shortcomings of SINS and GPS are avoided. By comparing the simulation results of the SINS/GPS Integrated Navigation System, the navigation precision is consistent when the SINS/GPS Integrated Navigation System works …
Hpc-Based Virtual Flight Test Method For Multidisciplinary Multiphysical Field Coupling, Tie Ming, Yu Ying, Zhang Xing, Jianlin Wang
Hpc-Based Virtual Flight Test Method For Multidisciplinary Multiphysical Field Coupling, Tie Ming, Yu Ying, Zhang Xing, Jianlin Wang
Journal of System Simulation
Abstract: Multidisciplinary simulation based on virtual flight system testbed (FST) will become an alternative way for the overall performance validation of near space hypersonic vehicles (HSV). The complexity of multi-physical field coupled modeling and simulation challenges the accuracy and efficiency of virtual experiment. Therefore, a multi-physical-field coupling simulation model is established. The architecture of HPC-FST is explicitly expounded for large-scale parallel multidisciplinary virtual flight tests and multi-physics coupling simulation of whole vehicle. Moreover, an integration algorithm is developed for heterogeneous CAE models in collaborative simulation. A HPC based parallel virtual flight test method with a task-level and algorithm-level hybrid large-scale …
The Simulation Assessment Of Availability For K/N Redundancy System Considering Failure Relevance Of Components, Haidong Du, Junhai Cao, Fusheng Liu, Xu Dan
The Simulation Assessment Of Availability For K/N Redundancy System Considering Failure Relevance Of Components, Haidong Du, Junhai Cao, Fusheng Liu, Xu Dan
Journal of System Simulation
Abstract: For the limitations existing in the system availability assessment based on the failure independent hypothesis,the availability assessment model for k/N system based on Copula function theory is built.A reliability evaluation method of fault-related system on the foundation of Agent technique is proposed. The completion of the simulation model from component entity to equipment entity resolves the question of reliability assessment existing in k/N system considering the effects of components relevance. And last, the evaluation results of system availability under different spare parts schemes are given under different material support program, the research results show that the relevance existing …
High-Dimensional Data Hiding Pattern Mining Based On Topology Data Analysis, Bolong Liu, Zhe Li
High-Dimensional Data Hiding Pattern Mining Based On Topology Data Analysis, Bolong Liu, Zhe Li
Journal of System Simulation
Abstract: Aiming at the limitation of traditional data analysis methods to find hidden patterns between high-dimensional complex data, a method of high-dimensional data hiding pattern mining based on topological data analysis is proposed. By extracting the characteristics of complex high-dimensional data, the relationship between its shapes and samples is analyzed. To get the dataset hidden mode, the topological data analysis is used to verify the gender recognition of high-dimensional dataset-voice.. At the same time, the relationship between the dataset data subgroups and related data subgroups is visually analyzed. The results show that the implicit relationship and pattern between data subgroups …
Status And Development Analysis Of Hardware-In-Loop Simulation Technologies For The Aircraft, Ruisong Huang, Haifeng Li, Liu Jin, Wenhua Kong
Status And Development Analysis Of Hardware-In-Loop Simulation Technologies For The Aircraft, Ruisong Huang, Haifeng Li, Liu Jin, Wenhua Kong
Journal of System Simulation
Abstract: Hardware-in-the-loop (HWIL) simulation technologies for complex engineering systems such as Aircraft has become an indispensable and important simulation method. With the emergence of new technologies, and the development of new concepts and requirements of Aircraft, HWIL simulation capability of Aircraft is constantly making breakthroughs. The current status of HWIL simulation technologies for Aircraft is analyzed, as well as the proposals to the development of HWIL simulation technology.
Simulation And Analysis Of Supplying Station Line Selection And Impact With Real Information, Qiguang Lü, Maozeng Xu, Zhou Xiang
Simulation And Analysis Of Supplying Station Line Selection And Impact With Real Information, Qiguang Lü, Maozeng Xu, Zhou Xiang
Journal of System Simulation
Abstract: The choice of routes and target stations of energy supply vehicles may lead to the demand cluster at the station and then induce traffic congestion, so it's necessary to analyze the effect of different choices of route and station. Based on the traffic real information, a multi-objective integer programming model is proposed in this paper, in which energy consumption and travel time of energy constrained vehicle is the optimization objective, and a two-stage genetic algorithm which aims to find optimal the route and station is designed. The simulation results based on the emPlant show that the optimal route …
Simulation Study On Aerodynamic Characteristics Of Flapping-Wing Aircraft With Multi-Stage Wing And Multiple Degree Of Freedom, Yonggang Yang, Xindong Gu
Simulation Study On Aerodynamic Characteristics Of Flapping-Wing Aircraft With Multi-Stage Wing And Multiple Degree Of Freedom, Yonggang Yang, Xindong Gu
Journal of System Simulation
Abstract: In the traditonal flapping-wing aircraft model, most of the wings are two-dimensional rigid wings, and the upswing and downwing processes are completely symmetrical. In order to further improve the aerodynamic characteristics of the flapping-wing aircraft, this paper uses the idea of approximate flexibility to establish the multi-stage wing to achieve the approximate flexibility effect. At the same time, the rapid return characteristic is added to prolong the down-flapping time. And a three-dimensional model of “flutter-twist-bend folding” is proposed by adding the bending-folding motion on the basis of the original movement and twisting motion. The model is imported into Xflow …
Design Of Spatial Agent Simulation Platform Based On Webgis, Zheng Zhong, Zhengyang Chang, Yunfeng Fei
Design Of Spatial Agent Simulation Platform Based On Webgis, Zheng Zhong, Zhengyang Chang, Yunfeng Fei
Journal of System Simulation
Abstract: Task simulation is important in planning of national defense facility system. An architecture with a simulation model system and task data management system scheme is proposed to combine geo-processing service of traditional GIS and Agent simulation to overcome the shortness in temporal analysis and task simulation of traditional GIS. Potential benefits include: shareable simulations, rich spatial analysis resources, and high credibility. Based on that, an experimental Spatial-Agent simulation prototype is developed with WebGIS technology. Taking a transportation task as an example, the feasibility of the design is verified.
Design And Realization Of Uav Inspection And Evaluation Simulation System, Xue Jiang, Junfeng Li, Wang Peng, Xiong Shan, Weixia Feng
Design And Realization Of Uav Inspection And Evaluation Simulation System, Xue Jiang, Junfeng Li, Wang Peng, Xiong Shan, Weixia Feng
Journal of System Simulation
Abstract: Aiming at the large-scale application of unmanned aerial vehicles (UAVs) in the power grid, the simulation system of UAV is developed, including flight control module, visual simulation module and training evaluation module. The flight control module based on the flight dynamics, is a simulation platform of UAV combining physical remote controller and simulation of the formation. The visual module consists of two parts, modeling the topography of Guangdong Province and automatically modeling the transmission lines. The training evaluation module contains training system of tower acceptance, tree barrier survey, tower survey and evaluation system of winding flight, overtaking defect search. …
Research On Radar Signal Sorting Based On Ensemble Deep Learning, Weidong Jin, Chunli Chen
Research On Radar Signal Sorting Based On Ensemble Deep Learning, Weidong Jin, Chunli Chen
Journal of System Simulation
Abstract: In view of the fact it is difficult to extract the appropriate features quickly and present signal sorting method’s accuracy is low, a signal sorting method based on ensemble deep learning model is proposed. This method stacks different types of deep belief network for radar emitter signal feature learning to improve algorithm. After learning the characteristics of the radar emitter signals deeply, the posterior probability of each model is linearly integrated and learned and the final classification results are determined by the decision layer to further improve the signal recognition rate. The method is used to separate different …
Two Complementary Methods For Studying Complex Social Systems: Simulation And Game Theory, Laobing Zhang, Qiming Ruan, Xiaogang Qiu
Two Complementary Methods For Studying Complex Social Systems: Simulation And Game Theory, Laobing Zhang, Qiming Ruan, Xiaogang Qiu
Journal of System Simulation
Abstract: Alongside with scientific experiments and theoretic research, scientific computation is the third paradigm for studying our world. Modelling and simulation method is a main technique of scientific computation, focusing on resulting in a suitable model for the research subject. Game theory is a natural choice for modelling intelligent interactions among multiple decision makers, which can provide accurate interaction model for the simulation of complex systems. This paper investigates the application of game theory in military operation simulation and social system simulation. Bottlenecks of the use of game theory in these simulations are pointed out and some future research directions …
Survey On Modeling And Simulation Of Internet Public Opinion In China, Mingxin Zhang
Survey On Modeling And Simulation Of Internet Public Opinion In China, Mingxin Zhang
Journal of System Simulation
Abstract: Modeling and Simulation of Internet public opinion can analyze the causes of public opinion and its transmission path, track and predict the trend of public opinion, so as to improve the ability of public opinion guidance for its control departments. This paper reviews and analyses the existing research on Modeling and simulation of Internet public opinion. From the point of view of research directions, the current research covers many directions, mainly including the evolution mechanism of Internet public opinion and the effectiveness of guidance mechanism. From the point of view of research methods, domestic research on Internet public opinion …
Modeling And Simulation Of Coordination Relationship Between Rail And Bus Lines, Wang Jian, Danqing Shen, Ziyang Wang
Modeling And Simulation Of Coordination Relationship Between Rail And Bus Lines, Wang Jian, Danqing Shen, Ziyang Wang
Journal of System Simulation
Abstract: By analyzing the coordination relationship of the collinear edges between the rail lines and the bus lines, the coordination relationship considering the complementation and the competition is defined as the goal of maximizing the utilization rate of resources and capacity matching. After the analysis of the coordination and the competition, the calculation of the coordinated coefficient are presented. Considering the influence of the disruptions on the coordination, an adjustment method of the bus lines is proposed. Taking part of Wuhan City transit network as an example, the results show that the adjusted transit system has a higher degree of …
A Generation Method Of Amf General Files For Heterogeneous Nurbs Volume Parametric Model, Chen Long, Wenyu Han, Xu Gang
A Generation Method Of Amf General Files For Heterogeneous Nurbs Volume Parametric Model, Chen Long, Wenyu Han, Xu Gang
Journal of System Simulation
Abstract: Aiming at the three-dimensional printing technology of heterogeneous NURBS (Heterogeneous Non-Uniform Rational B-spline, HNURBS) volume parametrization model, a method of generatingthe AMF (Additive Manufacturing File Format) of the three dimensional printing general file is proposed. For the continuous visual expression of material information, theHNURBS volume parametric model is constructed with the control points containing material information which is represented with gray value.According to the subdivision of the NURBS volume parametric model, the HNURBS volume parametric model is subdivided into Isoparametric mesh element. In order to get the triangular mesh for the generation of the AMF files, each …
Track Synthetic Algorithm Based On Modified Fuzzy Theory And D-S Evidence Decision, Zhiwei Wang, Yulan Hu, Shujie Hu, Liu Wei
Track Synthetic Algorithm Based On Modified Fuzzy Theory And D-S Evidence Decision, Zhiwei Wang, Yulan Hu, Shujie Hu, Liu Wei
Journal of System Simulation
Abstract: Aiming at the problems existing in fuzzy reasoning track association, such as the filter divergence, the membership performance degradation, the difficulty in determining association threshold value, and the association effect deterioration under complex circumstances, a track association algorithm based on modified fuzzy theory and D-S Evidence Decision is proposed. Based on the attenuated memory extended Kalman filter (AMEKF), a logarithmic likelihood function adaptive correction method is proposed to correct the disorientation of membership function,and a D-S evidence decision-making tracking association algorithm with conflict resolution and consistent focusing is proposed. The simulation results show that comparing with the original algorithm, …
A Hierarchical Integrated Soft Sensing Modeling Method For Gauss Process Regression, Zhao Shuai, Xudong Shi, Weili Xiong
A Hierarchical Integrated Soft Sensing Modeling Method For Gauss Process Regression, Zhao Shuai, Xudong Shi, Weili Xiong
Journal of System Simulation
Abstract: Chemical processes are often characterized by nonlinearity and multi-phase, a soft sensor model based on the hierarchical ensemble of Gaussian process regression is proposed. First, the Gaussian mixture model is used to divide the process data into different operation phases. Then, the principal component analysis of each stage is carried out, and the model data are divided into several subspaces, according to the contribution of each auxiliary variable in the principal component space, and the corresponding Gaussian process regression model is built. The subspace model output is fused by means to obtain the first level ensemble output. Finally, the …
Low-Complexity Signal Detection Algorithm Based On Pgqsm, Fatang Chen, Yang Kang, Yongli Fu, Mengjie Li
Low-Complexity Signal Detection Algorithm Based On Pgqsm, Fatang Chen, Yang Kang, Yongli Fu, Mengjie Li
Journal of System Simulation
Abstract: Pre-coding aided Generalized Quadrature Spatial Modulation (PGQSM) uses the known channel state information to perform pre-coding processing on the in-phase and quadrature signals of the quadrature spatial modulation (QSM), so as to reduce the complexity of the receiver for signal detection. At the same time, an improved Pre-coding aided Generalized Quadrature Spatial Modulation low complexity detection algorithm is proposed to solve the problem of the proposed algorithm’s high complexity at the receiver. The results of analysis and simulation show that the proposed algorithm can achieve almost the same BER performance as the maximum likelihood (ML) algorithm with more than …
Optimized Linear Adrc Control For A Class Of Fractional-Order Chaotic Systems, Huang Yu, Xie Tian, Wu Rui
Optimized Linear Adrc Control For A Class Of Fractional-Order Chaotic Systems, Huang Yu, Xie Tian, Wu Rui
Journal of System Simulation
Abstract: Linear active disturbance rejection control has many parameters and it is difficult to obtain appropriate parameters. Therefore, a quantum-behaved particle swarm optimization algorithm based on cosine decreasing function is proposed in this article for searching optimal LADRC parameters. In this algorithm, cosine decreasing function and updated equation of quantum-behaved particle swarm optimization algorithm are combined. By using the variable characteristic of cosine decreasing function with the increase of iteration times, the original global optimization ability of quantum particle swarm optimization is retained and its poor local optimization ability is overcome. And the simulation results show that the LADRC optimized …
Gcps Adaptive Scheduling Model Based On Cooperative Executor, Zhang Jing, Chen Yao, Sun Jun, Hongbo Fan
Gcps Adaptive Scheduling Model Based On Cooperative Executor, Zhang Jing, Chen Yao, Sun Jun, Hongbo Fan
Journal of System Simulation
Abstract: Aiming at the problem that the uncertainty of grid cyber physical systems leads to chain failure, an adaptive GCPS dispatching model based on co-actuator is established. First, the constraint conditions of the system are analyzed. A model constraints of GCPS system is presented to describe the constraint conditions of the power system, and it is proved that it meets the consistency of the measure and representing methods. Second, the optimal value of approximation error is solved by PILOT, and the framework of CA-SADM is described. Finally, the performance index, output power accuracy and the influence of fault on the …
Analysis On The Mission Reliability For Auv Based On Monte Carlo Method, Li Juan, Kunyu Zhang, Haibo Li, Lijuan Yang, Mengdi Wang
Analysis On The Mission Reliability For Auv Based On Monte Carlo Method, Li Juan, Kunyu Zhang, Haibo Li, Lijuan Yang, Mengdi Wang
Journal of System Simulation
Abstract: The high reliability of AUV is the necessary condition for it to complete the task satisfactorily and efficiently within the specified time. Traditional fault tree is very convenient for describing the reliability model of the system, but for large and complex system, this will significantly increase the computation of reliability parameters, thus the calculation is difficult. Because it to calculate the reliability parameters of complex systems by the traditional fault tree, this paper adopts the method of combining the minimum cut set of fault tree and Monte Carlo method to establish the reliability model for Underwater Autonomous Unmanned Vehicle …
Dynamic Inventory Routing Optimization Based On Deep Reinforcement Learning, Jianpin Zhou, Shuliu Zhang
Dynamic Inventory Routing Optimization Based On Deep Reinforcement Learning, Jianpin Zhou, Shuliu Zhang
Journal of System Simulation
Abstract: Aiming at the dynamic stochastic inventory routing problem with periodic fluctuation of demand, a novel simulation optimization approach based on deep reinforcement learning is proposed to achieving periodic steady strategy. Firstly a dynamic combinatorial optimization model is constructed. Then, by deep reinforcement learning and setting heuristic rules, the replenishment nodes set selection and the replenishment batch allocation weights in each period are determined. The simulation experimental results show that the proposed method can improve the average profit of a cycle by about 2.7% and 3.9% in low fluctuating demand case and by about 8.2% and 7.1% in high fluctuating …
Music Retrieval System Using Query-By-Humming, Parth Patel
Music Retrieval System Using Query-By-Humming, Parth Patel
Master's Projects
Music Information Retrieval (MIR) is a particular research area of great interest because there are various strategies to retrieve music. To retrieve music, it is important to find a similarity between the input query and the matching music. Several solutions have been proposed that are currently being used in the application domain(s) such as Query- by-Example (QBE) which takes a sample of an audio recording playing in the background and retrieves the result. However, there is no efficient approach to solve this problem in a Query-by-Humming (QBH) application. In a Query-by-Humming application, the aim is to retrieve music that is …
A Hybrid Approach For Multi-Document Text Summarization, Rashmi Varma
A Hybrid Approach For Multi-Document Text Summarization, Rashmi Varma
Master's Projects
Text summarization has been a long studied topic in the field of natural language processing. There have been various approaches for both extractive text summarization as well as abstractive text summarization. Summarizing texts for a single document is a methodical task. But summarizing multiple documents poses as a greater challenge. This thesis explores the application of Latent Semantic Analysis, Text-Rank, Lex-Rank and Reduction algorithms for single document text summarization and compares it with the proposed approach of creating a hybrid system combining each of the above algorithms, individually, with Restricted Boltzmann Machines for multi-document text summarization and analyzing how all …
3d Shape Prediction On Convolutional Deep Belief Networks, Gregory Y. Enriquez
3d Shape Prediction On Convolutional Deep Belief Networks, Gregory Y. Enriquez
Master's Projects
The field of image recognition software has grown immensely in recent years with the emergence of new deep learning techniques. Deep belief networks inspired by Hinton [11] were one of the earliest methodologies of deep learning in the late 2000s. More recently, convolutional neural networks have been used in deep learning techniques, architecture, and software to identify patterns in imagery in order to make predictions such as classification, image segmentation, etc. Traditional two-dimensional, or 2D, images stored as picture files, typically contain red, green, and blue color data for each individual pixel in the picture. However, more recent commercial 2.5D …
Generating Contextual Text Embeddings For Emergency Department Chief Complaints Using Bert, David Chang
Generating Contextual Text Embeddings For Emergency Department Chief Complaints Using Bert, David Chang
Yale Day of Data
We applied BERT, a state-of-the-art natural language processing model, on chief complaint data from the Yale Emergency Department to map free-text notes to structured chief complaint categories.
Image Restoration Using Automatic Damaged Regions Detection And Machine Learning-Based Inpainting Technique, Chloe Martin-King
Image Restoration Using Automatic Damaged Regions Detection And Machine Learning-Based Inpainting Technique, Chloe Martin-King
Computational and Data Sciences (PhD) Dissertations
In this dissertation we propose two novel image restoration schemes. The first pertains to automatic detection of damaged regions in old photographs and digital images of cracked paintings. In cases when inpainting mask generation cannot be completely automatic, our detection algorithm facilitates precise mask creation, particularly useful for images containing damage that is tedious to annotate or difficult to geometrically define. The main contribution of this dissertation is the development and utilization of a new inpainting technique, region hiding, to repair a single image by training a convolutional neural network on various transformations of that image. Region hiding is also …
Employing Earth Observations And Artificial Intelligence To Address Key Global Environmental Challenges In Service Of The Sdgs, Wenzhao Li
Computational and Data Sciences (PhD) Dissertations
Earth Observation (EO) data provides the capability to integrate data from multiple sources and helps to produce more relevant, frequent, and accurate information about complex processes. EO, empowered by methodologies from Artificial Intelligence (AI), supports various aspects of the UN’s Sustainable Development Goals (SDGs). This dissertation presents author’s major studies using EO to fill in knowledge gaps and develop methodologies and cloud-based applications in selected SDGs, including SDG 6 (Clean Water and Sanitation), SDG 11 (Sustainable Cities and Communities), SDG 14 (Life below Water) and SDG 15 (Life on Land). For SDG 6, the study focuses on spatiotemporal water recharge …
Incorporating Word Order Explicitly In Glove Word Embedding, Brandon Cox
Incorporating Word Order Explicitly In Glove Word Embedding, Brandon Cox
Computer Science and Computer Engineering Undergraduate Honors Theses
Word embedding is the process of representing words from a corpus of text as real number vectors. These vectors are often derived from frequency statistics from the source corpus. In the GloVe model as proposed by Pennington et al., these vectors are generated using a word-word cooccurrence matrix. However, the GloVe model fails to explicitly take into account the order in which words appear within the contexts of other words. In this paper, multiple methods of incorporating word order in GloVe word embeddings are proposed. The most successful method involves directly concatenating several word vector matrices for each position in …
Developing A Computational Framework For A Construction Scheduling Decision Support Web Based Expert System, Feroz Ahmed
Developing A Computational Framework For A Construction Scheduling Decision Support Web Based Expert System, Feroz Ahmed
Dissertations
Decision-making is one of the basic cognitive processes of human behaviors by which a preferred option or a course of action is chosen from among a set of alternatives based on certain criteria. Decision-making is the thought process of selecting a logical choice from the available options. When trying to make a good decision, all the positives and negatives of each option should be evaluated. This decision-making process is particularly challenging during the preparation of a construction schedule, where it is difficult for a human to analyze all possible outcomes of each and every situation because, construction of a project …