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2019

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Moving Object Detection Based On Deep Convolutional Neural Network, Yuqiu Lu, Jinyu Sun, Shiwei Ma Dec 2019

Moving Object Detection Based On Deep Convolutional Neural Network, Yuqiu Lu, Jinyu Sun, Shiwei Ma

Journal of System Simulation

Abstract: A deep convolution neural network MONet is designed for the intermittent motion problem in moving objects detection. In the absence of training data sets, a synthetic dataset GoChairs is generated by affine transformation, and on this basis the network training and testing are performed. The results show that the trained MONet can effectively detect the moving objects based on the correspondence between the pixels. The traditional datasets CDnet and I2R are also tested to verify the generalization performance of the network. In addition, MONet is compared qualitatively and quantitatively with classical methods for the intermittent motion problem of …

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3d Shape Deformation Simulation Algorithm Based On Haptics, Binbin Qi, Xuefang Zhu, Lipeng Fan Dec 2019

3d Shape Deformation Simulation Algorithm Based On Haptics, Binbin Qi, Xuefang Zhu, Lipeng Fan

Journal of System Simulation

Abstract: Shape deformation is widely used in virtual reality, system simulation, computer animation and other graphics applications. Few people pay attention to introducing haptic interaction into 3D model deformation. We provide a haptic interactive framework by introducing haptic interaction into shape editing field. Based on the above haptic interactive framework, we propose a 3D model deformation simulation algorithm based on haptics. In order to realize the shape deformation, this algorithm needs to involve three parts: grid hierarchical structure, local mass-spring model and the dynamic shape deformation. Experimental results show that this algorithm has good stability and strong robustness, and the …

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Intelligent Manufacturing Plan Management Based On Digital Twins, Yingying Xiao, Wang Mei, Liqin Guo, Xing Chi, Changhui Zhuang Dec 2019

Intelligent Manufacturing Plan Management Based On Digital Twins, Yingying Xiao, Wang Mei, Liqin Guo, Xing Chi, Changhui Zhuang

Journal of System Simulation

Abstract: For the multi-variety and small-batch manufacturing mode, the planning management system cannot be timely automatically adjusted according to uncertain factors. This paper proposes an intelligent manufacturing plan management system based on factory digital twins. The plan management PDCA business process model is established. In addition, the processing logic model and constraints of the periodic static scheduling model and the dynamic emergency scheduling model are proposed. Based on the planning management case of hybrid assembly of two types of aerospace complex products, it is verified that the management model proposed in this paper can support the intelligent dynamic adjustment of …

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A Cloud Service Composition Optimization Based On Hnn, Huili Zhang, Zhihe Li Dec 2019

A Cloud Service Composition Optimization Based On Hnn, Huili Zhang, Zhihe Li

Journal of System Simulation

Abstract: With the rapid development of Cloud service application, how to effectively optimize the composition of Cloud services on cloud platform and improve the overall performance of cloud platform system have become an urgent research issue. In order to improve the efficiency of Cloud services, a combined optimization model based on Hopfield neural network is proposed. The problem of Cloud services is modeled. The problem is expressed as Hopfield Neural Network energy model for optimization, and a PSO group algorithm with Cauchy disturbance is designed to improve the Hopfield model. The experimental comparison shows that the method can improve …

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Modeling And Simulation Of Complex Equipment Health Management System Based On Cloud Computing, Tianrui Zhang, Chuansheng Qu, Baoku Wu, Jianan Xu Dec 2019

Modeling And Simulation Of Complex Equipment Health Management System Based On Cloud Computing, Tianrui Zhang, Chuansheng Qu, Baoku Wu, Jianan Xu

Journal of System Simulation

Abstract: For complex equipment operation safely, the health management problems of complex equipment life cycle is analyzed. In order to realize remote service, complex equipment health management mode based on cloud computing is proposed. Aiming at the accuracy problem in the process of extracting and recognizing complex equipment characteristic data, the feature knowledge acquisition method based on ontology is researched, and the expression and acquisition algorithm of state characteristic knowledge is proposed. A task sequencing algorithm faults based on fuzzy comprehensive evaluation method is proposed, an appropriate task assignment model is selected for scheduling health management technicians. …

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Agent Based Modeling And Simulation Analysis Of Low-Orbit Early-Warning Satellites, Liu Wen, Xiaolu Wang, Hongsheng Wang, Zhang Heng, Changqing Wang Dec 2019

Agent Based Modeling And Simulation Analysis Of Low-Orbit Early-Warning Satellites, Liu Wen, Xiaolu Wang, Hongsheng Wang, Zhang Heng, Changqing Wang

Journal of System Simulation

Abstract: Low-Orbit Early-Warning Satellite has accurate midcourse ballistic missile tracking and surveillance capability. The paper takes Space Tracking and Surveillance System’s function and construction as the research subject. System model is constructed based on Agent method. The possible constellation configurations of STSS are analyzed considering the coverage performance,and the detection capability of ballistic missile target is simulated and analyzed. Simulation analysis of target detection is carried out. The result shows that STSS can effectively detect a certain number of targets, but detecting capability is affected severely by solar illumination.

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Simulation Of Vehicle Startup Delay At Green Light And Its Direct And Chain-Reaction Impact On Traffic Flow, Longxi Luo, Lijun Xie, Jianping Wu, Xu Ming Dec 2019

Simulation Of Vehicle Startup Delay At Green Light And Its Direct And Chain-Reaction Impact On Traffic Flow, Longxi Luo, Lijun Xie, Jianping Wu, Xu Ming

Journal of System Simulation

Abstract: In current traffic simulations, it is implicitly assumed vehicles are driven by ideal drivers. Therefore, simulated vehicles make the most reasonable decisions such as moving out immediately when traffic lights turn green, resulting in a gap between simulations and real traffics. Research shows that drivers, including those who follow the rules, show a delay in starting-up their vehicles at the green light. The vehicle startup delay (SUD) is even more significant for drivers by things such as cell phones during waiting. However, the SUD has rarely been considered in simulations. The SUD is simulated to study its impacts on …

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Fault Prediction Of Satellite Attitude Control System Based On Neural Network, Xiaofan Meng, Song Hua Dec 2019

Fault Prediction Of Satellite Attitude Control System Based On Neural Network, Xiaofan Meng, Song Hua

Journal of System Simulation

Abstract: A new method based on BP neural network(BPNN), wavelet neural network(WNN) and wavelet decomposition-LSTM(wLSTM) network is proposed for predicting faults in the satellite attitude control system. Normal satellite attitude data is used to train BPNN which is used as the standard model of satellite attitude control system. The real-time attitude residuals is obtained by subtracting the BPNN output attitude angle from the real-time data of satellite attitude. The time series of the residuals are used to build WNN and wLSTM models to predict the faults of satellite attitude control system. A conclusion is given according to comparing the …

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Design Of Combat Simulation And Visualization System Of Hypersonic Vehicle, Yu Ying, Weidong Liang, Xiujuan Zhu, Jianlin Wang, Wang Ling Dec 2019

Design Of Combat Simulation And Visualization System Of Hypersonic Vehicle, Yu Ying, Weidong Liang, Xiujuan Zhu, Jianlin Wang, Wang Ling

Journal of System Simulation

Abstract: Based on the thought of combat simulation, the system of combat simulation and visualization is designed to show the typical combat mode and the characteristics of near space vehicles. Taking the aircraft attacking a fixed target as an example, the formulation of combat plan, the deployment of forces and the design of combat process of both sides are realized. On the one hand, a combat simulation platform which covers various combat modes of attack and defense is established. On the other hand, the whole process of combat confrontation of hypersonic vehicles is presented, driven by the real-time simulation data. …

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Multi-Sensor Data Fusion With Network Delays And Correlated Noises, Shankai Zhang, Zhu Cui, Su Zhong, Dai Juan Dec 2019

Multi-Sensor Data Fusion With Network Delays And Correlated Noises, Shankai Zhang, Zhu Cui, Su Zhong, Dai Juan

Journal of System Simulation

Abstract: This paper focuses on the state estimation for multi-sensor system with network delays and correlated noises. An orthogonal transformation method is applied to remove the correlations between different noises. For the problem of packet delays due to the unreliable network, a buffer with certain length is introduced to store the measurements, and the measurements are reordered using a timestamp in the buffer. Based on that, a novel sequential data fusion algorithm is proposed, by which the influence of the noise correlation and packet delays can be weakened effectively. Compared with the traditional sequential fusion method, the proposed algorithm has …

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Pedestrian Navigation Method Based On Uwb And Sins, Yang Yang, Li Qing Dec 2019

Pedestrian Navigation Method Based On Uwb And Sins, Yang Yang, Li Qing

Journal of System Simulation

Abstract: In view of the problem that the inertial navigation error is accumulating with time and UWB indoor is hard to continue tracking problems in complex environment, an extended Kalman filter (EKF) fusing UWB and sins pedestrian navigation is proposed.The zero speed correction algorithm is used to trigger EKF at zero speed. The sins is corrected by the velocity error measurement provided by sins and the position error measurement provided by UWB restraining error accumulation.When UWB signal is interrupted, the position of UWB output without interruption is taken as the starting position. The experiment results of SINS autonomous navigation …

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Research On Uncertainty Measurement Method Of Aircraft Hwil System, Huapin Geng, Jiahui Tong, Hongtao Ma Dec 2019

Research On Uncertainty Measurement Method Of Aircraft Hwil System, Huapin Geng, Jiahui Tong, Hongtao Ma

Journal of System Simulation

Abstract: Uncertainty is the inherent attribute of simulation system, causing the expected results inconformity with the real results, even influencing the robustness and reliability of system. Based on the analysis of the system uncertainty characteristics, the analysis framework of HWIL system uncertainty measurement is proposed. Three kinds of the uncertainty measurement methods based on the uncertainty type and the compound and weighting are researched on aircraft HWIL System. The typical uncertainty measurement methods are applied based on some aircraft HWIL system and the result proves that the method is efficient.

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Fault-Tolerant Method And Simulation Of Heterogeneous Multi-Core Processor Based On Speculative Mechanism, Shigan Yu, Zhimin Tang, Xiaochun Ye, Dongrui Fan Dec 2019

Fault-Tolerant Method And Simulation Of Heterogeneous Multi-Core Processor Based On Speculative Mechanism, Shigan Yu, Zhimin Tang, Xiaochun Ye, Dongrui Fan

Journal of System Simulation

Abstract: Heterogeneous multicore is one of the important branches of processors,but they are still faced with frequent transient failures. TMR(Triple mode redundancy) is the main method to solve transient faults, which has the characteristics of low efficiency and high power consumption, a high-performance Fault-Tolerant Scheduling Algorithm with Speculative mechanism(FTSAS) is proposed. Each heterogeneous core can execute tasks independently, the state values of the first completed core are recorded, and the first completed core continues to perform the next task with forward speculative method. The results are compared by backward core, the majority consensus principle is adopted to ensure the reliability …

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Lstm Model For Trajectory Design Of Missile-Borne Bfsar Imaging Guidance, Bohao Li, Yunjie Wu Dec 2019

Lstm Model For Trajectory Design Of Missile-Borne Bfsar Imaging Guidance, Bohao Li, Yunjie Wu

Journal of System Simulation

Abstract: In the multi-platform path planning of multi-missile cooperative guidance algorithm used for missile-borne Bi-static Forward-looking Synthetic Aperture Radar (BFSAR) imaging, it is necessary to plan and adjust the transmitter trajectory according to the space state of the receiver and the path constraints between the receiver and the transmitter.An effective LSTM model is constructed to study and train the trajectory path generated by the existing algorithms, and the direct mapping relationship between the receiver space state, path constraint and the trajectory of the transmitter is obtained. The simulation results not only show that LSTM is feasible in multi-missile path …

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Energy Efficiency Data Mining And Scheduling Optimization Of Discrete Workshop, Yugu Lin, Wang Yan Dec 2019

Energy Efficiency Data Mining And Scheduling Optimization Of Discrete Workshop, Yugu Lin, Wang Yan

Journal of System Simulation

Abstract: This paper addresses the optimization of energy consumption in discrete workshops and establishes the energy efficiency optimization model of discrete workshops. The relationship between data mining and knowledge discovery is established. Through scheduling data preprocessing and C4.5 decision tree learning algorithm, the discovery of scheduling knowledge is realized. Energy efficiency optimization calculation is achieved in discrete workshops by the combination of scheduling knowledge and improved differential evolution algorithm (IDE). By comparing with TLBO, GA and PSO, the feasibility of IDE algorithm is verified.

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Research On Social Network Inference Method Based On Observation Data, Hailiang Chen, Bin Chen, Yuan Peng, Dong Jian, Chuan Ai Dec 2019

Research On Social Network Inference Method Based On Observation Data, Hailiang Chen, Bin Chen, Yuan Peng, Dong Jian, Chuan Ai

Journal of System Simulation

Abstract: Internet technology and online social networks have developed rapidly, which enables people to randomly express their opinions, ideas, emotional exchanges and economic exchanges. Inferring social networks is made possible through the observation data exchanged by people on the Internet. Through the analysis of ConNIe (Convex Network Inference) algorithm, this paper researches the effects of sparse parameter, propagation time distribution model and its parameters on the inference results of the algorithm. According to the analysis, a social network inference framework based on ConNIe algorithm is proposed. Combining the perceptron and particle swarm optimization algorithm, the ConNIe algorithm inference becomes a …

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Exploration Of Soldier Morale Using Multi-Mode Simulation Approach, Yongsheng Zhang, Zhengxiang Xiong Dec 2019

Exploration Of Soldier Morale Using Multi-Mode Simulation Approach, Yongsheng Zhang, Zhengxiang Xiong

Journal of System Simulation

Abstract: Soldier morale is a complex social construction influenced by factors at multiple levels and integrates many research domains. This research seeks to explore, model, and simulate soldier morale at multiple levels of analysis. Microcosmically Agent-Based Modeling method is used to reflect the interaction among fighters and the course of affecting morale,Macrocosmically SD method is used to reflect the influence of the tactical psychology on morale and the whole war in the counter-combat process. The developed sample case scenario pertained to US security efforts against insurgency in Afghanistan in 2007. The scenario includes representation of the patrol base operations serving …

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Dynamic Simulation Of Marine Pasture Water Quality Monitoring Network Based On Aug, Wenxia Xue, Bin Lin, Hu Xu, Jingbo Zhang Dec 2019

Dynamic Simulation Of Marine Pasture Water Quality Monitoring Network Based On Aug, Wenxia Xue, Bin Lin, Hu Xu, Jingbo Zhang

Journal of System Simulation

Abstract: The development of marine pastures puts forward higher requirements for water quality monitoring. In order to achieve large-scale and long-term underwater water quality monitoring, AUG-based Underwater Sensor Network (AUSN) is studied. The AUG is introduced as the underwater sink node of the sensor network and the sleep scheduling mechanism is adopted for the sensors, which can effectively reduce the total energy consumption of the network. Based on the analysis of energy consumption characteristics of underwater sensor networks, the energy consumption calculation formula of underwater sensor networks is discussed. Combined with the virtual visualization technology, the underwater sensor network simulation …

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Design And Implement Of Semi Physical Simulation System For Underwater Acoustic Imaging, Ruonan Fan, Jijun Jiang, Naiwei Sun Dec 2019

Design And Implement Of Semi Physical Simulation System For Underwater Acoustic Imaging, Ruonan Fan, Jijun Jiang, Naiwei Sun

Journal of System Simulation

Abstract: A semi physical simulation system based on underwater scale target and acoustic imaging is designed. Functional requirements are presented, the echo models of underwater scale target acoustic image are established through the planar element method, the structure, hardware and software are designed, the real-time signal generation techniques of applying the model to the simulation system are researched. The results of underwater experiment show that the simulation system can simulate the acoustic imaging echo signal of Benchmark submarine model, the imaging results are recognizable to some extent, it can be promoted to any underwater scale target and meet the …

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Research On Supporting Action Model Of Long-Rang Strike Space Reconnaissance Based On Combination Mode, Changliang Xiao, Jingyu Yang, Wu Xi, Ma Jun, Xiaojing Yin Dec 2019

Research On Supporting Action Model Of Long-Rang Strike Space Reconnaissance Based On Combination Mode, Changliang Xiao, Jingyu Yang, Wu Xi, Ma Jun, Xiaojing Yin

Journal of System Simulation

Abstract: Space reconnaissance support operations mainly undertake the tasks of target detection and identification in the early stage of strike, target guidance during strike and damage effect evaluation after strike. Based on EBI(Entity, Behavior, Interaction)modeling framework, this paper describes the entity models of signal intelligence sensor, radar alarm sensor and imaging sensor, constructs a combined mode of space reconnaissance support operation. It mainly models the combined mode algorithm of three sensors and their respective target detection behavior rules, whick is conductive to improving reconnaissance efficiency and enhancing intelligence quality in combat operations.

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Housing Prices And Household Savings: Evidence From Urban China, Weida Kuang, Tao Li, Jing Jian Xiao Dec 2019

Housing Prices And Household Savings: Evidence From Urban China, Weida Kuang, Tao Li, Jing Jian Xiao

Human Development and Family Science Faculty Publications

Based on precautionary saving motives, this research develops a three-period life-cycle model to manifest the impact of housing prices on household savings in urban China. The theoretical model illustrates that the expected appreciation of housing prices at a household’s middle age leads to the increase in household savings at a household’s young age. Second, household savings at a household’s young age are positively associated with both expected educational and medical expenditures in a household’s middle age and pension expenditures at a household’s old age. Third, the expected housing prices crowd out educational and medical expenditures at a household’s middle age. …

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Reply To “How Foot Voting Enhances Political Freedom”, James Allan Dec 2019

Reply To “How Foot Voting Enhances Political Freedom”, James Allan

San Diego Law Review

My job is to comment briefly on Ilya Somin’s Article, How Foot Voting Enhances Political Freedom. Of necessity, then, I will be selective. The thrust of the Article—which appears to be an excerpt from an upcoming book—is that “ballot box voting” compares unfavorably to “foot voting.” The terms are Somin’s, not mine. The former phrase refers to what we would normally just call “voting.” The latter refers to what would normally fall under the aegis of migration, immigration, emigration, or even moving to another jurisdiction. And when we compare those two alternatives—voting in a democratic election and picking up one’s …

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Ny State Marijuana Law Clears The Records Of Thousands, But Will It Help Immigrants?, Jaime Longoria, Harsha Nahata Dec 2019

Ny State Marijuana Law Clears The Records Of Thousands, But Will It Help Immigrants?, Jaime Longoria, Harsha Nahata

Capstones

In July 2019, Governor Cuomo signed legislation that would clear criminal records for over 200,000 people with marijuana related convictions and reduce punishment for possession. But, there’s one group of New Yorkers who are left out — and that’s immigrants. With over 4 million immigrants in New York State, the lives of those with prior marijuana convictions are still in limbo. Harsha Nahata and Jaime Longoria spoke with immigrants and advocates to find out why. The full story can be found here: https://jaimelongoria.github.io/nys-marijuana-law/

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New York State's Landfill Problem, Olivia Raimonde, Chris Polansky Dec 2019

New York State's Landfill Problem, Olivia Raimonde, Chris Polansky

Capstones

Documents reviewed in a NYC News Service investigation of the environmental and health hazards caused by mismanaged landfills in New York State revealed problems at landfills that ranged from emitting dangerous levels of hydrogen sulfide in the air in close proximity to schools to leaching chemicals into nearby ground and surface water. The issues at these landfills — which are jeopardizing the safety of the environment and nearby communities — are causing activists, residents and experts to questions how well these facilities are being regulated by the New York State Department of Environmental Conversation, which is responsible for landfill oversight. …

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Effects Of Detritivores On Nutrient Dynamics And Corn Biomass In Mesocosms, Josephine Lindsey-Robbins, Angélica Vázquez-Ortega, Kevin Mccluney, Shannon Pelini Dec 2019

Effects Of Detritivores On Nutrient Dynamics And Corn Biomass In Mesocosms, Josephine Lindsey-Robbins, Angélica Vázquez-Ortega, Kevin Mccluney, Shannon Pelini

School of Earth, Environment and Society Faculty Publications

(1) Background: Strategies aimed at managing freshwater eutrophication should be based on practices that consider cropland invertebrates, climatic change, and soil nutrient cycling. Specifically, detritivores play a crucial role in the biogeochemical processes of soil through their consumptive and burrowing activities. Here, we evaluated the effectiveness of increasing detritivore abundance as a strategy for nutrient management under varied rainfall. (2) Methods: We manipulated soil macroinvertebrate abundance and rainfall amount in an agricultural mesocosms. We then measured the phosphorus, nitrogen, and carbon levels within the soil, corn, invertebrates, and soil solution. (3) Results: Increasing detritivore abundance in our soil significantly increased …

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Fabrication, Characterization And Application Of Zinc Oxide And Zinc Magnesium Oxide Nanostructures, Abdiel Rivera Dec 2019

Fabrication, Characterization And Application Of Zinc Oxide And Zinc Magnesium Oxide Nanostructures, Abdiel Rivera

Doctoral Dissertations

Zinc oxide is a wide bandgap semiconductor with relatively large exciton energy of 60 meV, and longitudinal optical phonon energy of 72 meV. ZnO can be grown in any nanostructure (nanoribbons, nanowires, nanorods, films, core-shell, among others), under any growth condition (metal-organic chemical vapor deposition (MOCVD), molecular beam epitaxial (MBE), hydrothermal, radio-frequency sputtering, sonochemical, etc) to be implemented in a variety of applications. For instance, by adding Mg to ZnO, the energy band separation increases and shift to a lower wavelength. Using ZnMgO, in the form of vertical nanowires, can improve the resolution of solar-blind UV-detectors. Nevertheless, the sol-solubility of …

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Signaling Mechanisms And Genetic Regulation Of Follicle Cell Maturation And Ovulatory Competence In Drosophila, Elizabeth M. Knapp Dec 2019

Signaling Mechanisms And Genetic Regulation Of Follicle Cell Maturation And Ovulatory Competence In Drosophila, Elizabeth M. Knapp

Doctoral Dissertations

Female fertility is essential for reproduction, and within the ovary requires the proper development of a competent preovulatory follicle and subsequent ovulation. Follicle development into ovulatory competency is intricately orchestrated through successions of temporally coordinated signaling networks within the somatic follicle cells. However, there still remains a lack of understanding of the genetic regulation of this process. The objective of this dissertation is to characterize this process of follicle maturation and ovulatory competency in Drosophila to establish its utility as a model system to study folliculogenesis and ovulation. How follicle cells develop in the final stages leading up to ovulation …

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Inequity And Resistance: Latinx Students And The College Readiness Process, Israel Velez Dec 2019

Inequity And Resistance: Latinx Students And The College Readiness Process, Israel Velez

Doctoral Dissertations

This qualitative study used Youth Participatory Action Research and Community Cultural Wealth Framework (Yosso, 2005) to understand how Vamos a La Universidad (VALU), a high school bilingual college preparation program, impacts first-generation Latinx ninth grade students’ community cultural wealth and understanding about college. This study expands our understanding of how Latinx students interpret the college preparation process after participating in a college preparation program and emphasizes the importance of students’ cultural background and social contacts in their college readiness process. This study proposes new initiatives to add to Latinx students’ college learning process and increase the students’ interest in continuing …

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Virtual Reality As A Pedagogical Tool For Interdisciplinarity And Place-Based Education, Laureen Park Dec 2019

Virtual Reality As A Pedagogical Tool For Interdisciplinarity And Place-Based Education, Laureen Park

Publications and Research

Place-based education (PBE) has long been recognized as a high-impact educational practice. It embeds learning in a multi-sensory context that nurtures active, praxis-driven, interdisciplinary, and collaborative learning. More recently, educators have begun to utilize digital media and virtual reality technologies in ways that seem to parallel PBE. Using phenomenological concepts, especially following Edmund Husserl and Alfred Schütz, this chapter explores what the parallels and differences might be between physical and virtual places, ontologically as well as in its pedagogical role in PBE. It also attempts to interpret the other chapters of the book in light of the philosophical implications.

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Visualization And Analysis Of Environmental Data, Sean Macdonald Dec 2019

Visualization And Analysis Of Environmental Data, Sean Macdonald

Publications and Research

The virtual exploration of place has been employed in a variety of learning environments across many disciplines, creatively expanding upon the experience of place. This chapter explores the value of mapping environmental data as a tool that can enhance students’ virtual exploration of place as they investigate local environmental policies and problems within their own urban surroundings. This visualization project engages students in making meaningful connections between the theoretical study of local and global environmental problems and the “observation” and investigation of these data using mapped data. The virtual learning environment is viewed as one that is interactive, exploring how …

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