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Articles 181 - 210 of 824

Full-Text Articles in Physical Sciences and Mathematics

Reveal Wind Loading Of Tornadoes And Hurricanes On Civil Structures Towards Hazard-Resistant Design, Ryan Honerkamp Jan 2021

Reveal Wind Loading Of Tornadoes And Hurricanes On Civil Structures Towards Hazard-Resistant Design, Ryan Honerkamp

Doctoral Dissertations

"Extreme winds impacting civil structures lead to death and destruction in all regions of the world. Specifically, tornadoes and hurricanes impact communities with severe devastation. On average, 1200 tornadoes occur in the United States every year. Tornadoes occur predominantly in the Central and Southeastern United States, accounting for an annual $1 billion in economic losses, 1500 injuries, and 90 deaths. The Joplin, MO Tornado in 2011 killed 161 people, injured more than 1000, destroyed more than 8000 structures, and caused $2.8 billion of property loss. Hurricanes occur predominantly on the United States East coast regions and along the coast of …


Eic Crab Cavity Multipole Analysis, Q. Wu, Y. Luo, B. Xiao, Subashini De Silva, J. A. Mitchell Jan 2021

Eic Crab Cavity Multipole Analysis, Q. Wu, Y. Luo, B. Xiao, Subashini De Silva, J. A. Mitchell

Physics Faculty Publications

Crab cavities are specialized RF devices designed for colliders targeting high luminosities. It is a straightforward solution to retrieve head-on collision with crossing angle existing to fast separate both beams after collision. The Electron Ion Collider (EIC) has a crossing angle of 25 mrad, and will use local crabbing to minimize the dynamic aperture requirement throughout the rings. The current crab cavity design for the EIC lacks axial symmetry. Therefore, their higher order components of the fundamental deflecting mode have a potential of affecting the long-term beam stability. We present here the multipole analysis and preliminary particle tracking results from …


Effect Of A Mean Free Path On Nonlinear Losses Of Trapped Vortices Driven By A Rf Field, Manula Randhika Pathirana Walive Pathiranage, Alex Gurevich Jan 2021

Effect Of A Mean Free Path On Nonlinear Losses Of Trapped Vortices Driven By A Rf Field, Manula Randhika Pathirana Walive Pathiranage, Alex Gurevich

Physics Faculty Publications

We report extensive numerical simulations on nonlinear dynamics of a trapped elastic vortex under rf field, and its dependence on electron mean free path li. Our calculations of the field-dependent residual surface resistance Ri(H) take into account the vortex line tension, the linear Bardeen-Stephen viscous drag and random distributions of pinning centers. We showed that Ri(H) decreases significantly at small fields as the material gets dirtier while showing field independent behavior at higher fields for clean and dirty limit. At low frequencies Ri(H) increases smoothly with the field amplitude at small H and levels off at higher fields. The mean …


Simulating Systematic Errors In Exoplanetary Transits For The James Webb Space Telescope, David C. Wright Iii Jan 2021

Simulating Systematic Errors In Exoplanetary Transits For The James Webb Space Telescope, David C. Wright Iii

Honors Undergraduate Theses

The James Webb Space Telescope (JWST) is a next-generation space telescope that will be capable of making transformative observations of planetary transits. As its launch date grows ever closer, it becomes imperative that astronomers have access to accurate simulations of JWST observations in order to best plan observations and devise data analysis pipelines. Unfortunately, available simulation tools do not provide the most accurate or realistic simulations, including noise and systematic errors. In this thesis, I present an open-source time-domain simulator of planetary transits that is capable of accurately modeling these effects in observations made by JWST.


Application Of Simulation Technology In Football Overall Attack Training, Xu Nuo, Shuanglong Liu, Fugao Jiang Dec 2020

Application Of Simulation Technology In Football Overall Attack Training, Xu Nuo, Shuanglong Liu, Fugao Jiang

Journal of System Simulation

Abstract: Simulation technology has a broad prospect in the field of football application.At present,football attack training is mainly based on audio-visual,experience and on-the-spot practice,but it lacks professional scene representation and systematic theoretical support. Visual C++ development platform and simulation programming method are used to virtualize the football training and reproduce the overall attack drill of football under different training scenes.The results show that the simulation technology can achieve more training situations. It can be used as an auxiliary tool for football overall attack training,enrich the training means,help players accurately understand the tactical system,and promote the scientific development of football training.


Ever Graze‐Prime Lamb Production On Perennial Based Grasslands In Southwest Australia, Paul Sanford, J. Ryan, P. Jakobsson, E. Dobbe, E. Mccready Dec 2020

Ever Graze‐Prime Lamb Production On Perennial Based Grasslands In Southwest Australia, Paul Sanford, J. Ryan, P. Jakobsson, E. Dobbe, E. Mccready

IGC Proceedings (1993-2023)

No abstract provided.


The Odd Inverse Rayleigh Family Of Distributions: Simulation & Application To Real Data, Saeed E. Hemeda, Muhammad A. Ul Haq Dec 2020

The Odd Inverse Rayleigh Family Of Distributions: Simulation & Application To Real Data, Saeed E. Hemeda, Muhammad A. Ul Haq

Applications and Applied Mathematics: An International Journal (AAM)

A new family of inverse probability distributions named inverse Rayleigh family is introduced to generate many continuous distributions. The shapes of probability density and hazard rate functions are investigated. Some Statistical measures of the new generator including moments, quantile and generating functions, entropy measures and order statistics are derived. The Estimation of the model parameters is performed by the maximum likelihood estimation method. Furthermore, a simulation study is used to estimate the parameters of one of the members of the new family. The data application shows that the new family models can be useful to provide better fits than other …


Dataset And Evaluation Of Self-Supervised Learning For Panoramic Depth Estimation, Ryan Nett Dec 2020

Dataset And Evaluation Of Self-Supervised Learning For Panoramic Depth Estimation, Ryan Nett

Master's Theses

Depth detection is a very common computer vision problem. It shows up primarily in robotics, automation, or 3D visualization domains, as it is essential for converting images to point clouds. One of the poster child applications is self driving cars. Currently, the best methods for depth detection are either very expensive, like LIDAR, or require precise calibration, like stereo cameras. These costs have given rise to attempts to detect depth from a monocular camera (a single camera). While this is possible, it is harder than LIDAR or stereo methods since depth can't be measured from monocular images, it has to …


Optical Properties Of Ultrathin In(Ga)As/Gaas And In(Ga)N/Gan Quantum Wells, Yurii Maidaniuk Dec 2020

Optical Properties Of Ultrathin In(Ga)As/Gaas And In(Ga)N/Gan Quantum Wells, Yurii Maidaniuk

Graduate Theses and Dissertations

Recently, structures based on ultrathin quantum wells (QWs) began to play a critical role in modern devices, such as lasers, solar cells, infrared photodetectors, and light-emitting diodes. However, due to the lack of understanding of the formation mechanism of ultrathin QWs during the capping process, scientists and engineers cannot fully explore the potential of such structures. This study aims to investigate how structural parameters of ultrathin QWs affect their emission properties by conducting a systematic analysis of the optical properties of In(Ga)As/GaAs and In(Ga)N/GaN ultrathin QWs. Specifically, the analysis involved photoluminescence measurements combined with effective bandgap simulation, x-ray diffraction, and …


Pasture Growth Forecasts For Temperate Regions In Southeastern Australia, Brendan R. Cullen, Richard J. Eckard, I. R. Johnson Nov 2020

Pasture Growth Forecasts For Temperate Regions In Southeastern Australia, Brendan R. Cullen, Richard J. Eckard, I. R. Johnson

IGC Proceedings (1993-2023)

No abstract provided.


Research On Configurable Simulation Integration Technology For Equipment Software, Yuanyuan Wang, Yuxin Duan, Guangzhao Song Nov 2020

Research On Configurable Simulation Integration Technology For Equipment Software, Yuanyuan Wang, Yuxin Duan, Guangzhao Song

Journal of System Simulation

Abstract: The problems of the traditional distributed digital simulation system are analyzed. The method of constructing the digital simulation system based on the equipment software is studied. The configurable simulation integration middleware is designed. The overall structure of the configurable middleware is designed and the design ideas of each module are briefly summarized. An example of a digital simulation system with networked transformation of equipment shows that the middleware can be effectively and flexibly configured and can provide support for constructing digital simulation system with software, which can be promoted and used in other simulation systems.


Simulation Of Incentive Mechanism Simulation On Reverse Supply Chain Of Waste Products Based On Dual Drive, Dongshi Sun, Danlan Xie, Guan Feng, Ji Yuan Nov 2020

Simulation Of Incentive Mechanism Simulation On Reverse Supply Chain Of Waste Products Based On Dual Drive, Dongshi Sun, Danlan Xie, Guan Feng, Ji Yuan

Journal of System Simulation

Abstract: In view of the current situation of coordination failure caused by different benefits of different entities in the waste reverse supply chain, based on system dynamics, a three-party evolutionary game model of residents, waste disposal institutions and production enterprises is constructed. Vensim simulation software is used to establish the stock-flow chart with the strategy selection probability as the horizontal variable. In the two cases of exogenous variable in constant and a time-trend, the simulation is carried out separately, and the strategy evolution path of the three parties is obtained without external interference. Through sensitivity analysis, the exogenous variables …


Development Of Reduced Order Models Using Reservoir Simulation And Physics Informed Machine Learning Techniques, Mark V. Behl Jr Nov 2020

Development Of Reduced Order Models Using Reservoir Simulation And Physics Informed Machine Learning Techniques, Mark V. Behl Jr

LSU Master's Theses

Reservoir simulation is the industry standard for prediction and characterization of processes in the subsurface. However, simulation is computationally expensive and time consuming. This study explores reduced order models (ROMs) as an appropriate alternative. ROMs that use neural networks effectively capture nonlinear dependencies, and only require available operational data as inputs. Neural networks are a black box and difficult to interpret, however. Physics informed neural networks (PINNs) provide a potential solution to these shortcomings, but have not yet been applied extensively in petroleum engineering.

A mature black-oil simulation model from Volve public data release was used to generate training data …


Modeling Holocene Peatland Carbon Accumulation In North America, Qianlai Zhuang, Sirui Wang, Bailu Zhao, Filipe Aires, Catherine Prigent, Zicheng Yu, Jason K. Keller, Scott Bridgham Nov 2020

Modeling Holocene Peatland Carbon Accumulation In North America, Qianlai Zhuang, Sirui Wang, Bailu Zhao, Filipe Aires, Catherine Prigent, Zicheng Yu, Jason K. Keller, Scott Bridgham

Biology, Chemistry, and Environmental Sciences Faculty Articles and Research

Peatlands are a large carbon reservoir. Yet the quantification of their carbon stock still has a large uncertainty due to lacking observational data and well‐tested peatland biogeochemistry models. Here, a process‐based peatland model was calibrated using long‐term peat carbon accumulation data at multiple sites in North America. The model was then applied to quantify the peat carbon accumulation rates and stocks within North America over the last 12,000 years. We estimated that 85–174 Pg carbon was accumulated in North American peatlands over the study period including 0.37–0.76 Pg carbon in subtropical peatlands. During the period from 10,000 to 8,000 years …


Using Current-Voltage Characteristics To Probe The Transport Mechanism In Carbon Nanotube Networks, Alejandro Jimenez Nov 2020

Using Current-Voltage Characteristics To Probe The Transport Mechanism In Carbon Nanotube Networks, Alejandro Jimenez

Physics

Carbon nanotube (CNT) random networks have shown great promise in electronic applications. For example, they have been used as the active layer in thin film transistor biosensors and as electrodes in supercapacitors (Hu, 2010). Although CNT networks applications are numerous, some of the key details of their electrical behavior are not fully understood. In particular, it is known that the junctions between tubes in CNT networks play a key role in determining the sensing properties of the network (Thanihaichelvana, et al., 2018), however, the mechanism by which metallic-semiconducting (m-s) tube junctions affect the electrical sensing properties of the network is …


A Hybrid Agent-Based And Equation Based Model For The Spread Of Infectious Diseases, Elizabeth Hunter, Brian Mac Namee, John D. Kelleher Oct 2020

A Hybrid Agent-Based And Equation Based Model For The Spread Of Infectious Diseases, Elizabeth Hunter, Brian Mac Namee, John D. Kelleher

Articles

Both agent-based models and equation-based models can be used to model the spread of an infectious disease. Equation-based models have been shown to capture the overall dynamics of a disease outbreak while agent-based models are able to capture heterogeneous characteristics of agents that drive the spread of an outbreak. However, agent-based models are computationally intensive. To capture the advantages of both the equation-based and agent-based models, we create a hybrid model where the disease component of the hybrid model switches between agent-based and equation-based. The switch is determined using the number of agents infected. We first test the model at …


Tdim Ionospheric Model Tec, Hmf2, And Nmf2 At Mid-Latitude Northern Hemisphere, Used In The Paper Titled "Is Tec A Viable Servo Input?", Jan J. Sojka Oct 2020

Tdim Ionospheric Model Tec, Hmf2, And Nmf2 At Mid-Latitude Northern Hemisphere, Used In The Paper Titled "Is Tec A Viable Servo Input?", Jan J. Sojka

Browse all Datasets

The externally imposed vertical drift in the F region is an extremely important driver of ionospheric dynamics but is very difficult to measure or map. Ionospheric servo algorithms have used hmF2 as F-region observable to infer the vertical drift. However, an even more plentiful observable is the total electron content (TEC) whose coverage over northern mid-latitudes has both spatial and temporal availability that matches those of the probable mechanisms responsible for vertical drift dynamics.

This ionospheric, first principle physics, study shows that TEC is a viable servo parameter at mid-latitudes in the noon sector. The servo relationship is shown to …


Interval Estimation Of Proportion Of Second-Level Variance In Multi-Level Modeling, Steven Svoboda Oct 2020

Interval Estimation Of Proportion Of Second-Level Variance In Multi-Level Modeling, Steven Svoboda

The Nebraska Educator: A Student-Led Journal

Physical, behavioral and psychological research questions often relate to hierarchical data systems. Examples of hierarchical data systems include repeated measures of students nested within classrooms, nested within schools and employees nested within supervisors, nested within organizations. Applied researchers studying hierarchical data structures should have an estimate of the intraclass correlation coefficient (ICC) for every nested level in their analyses because ignoring even relatively small amounts of interdependence is known to inflate Type I error rate in single-level models. Traditionally, researchers rely upon the ICC as a point estimate of the amount of interdependency in their data. Recent methods utilizing an …


Modeling Research On Assessment System For Army Maintenance Work Capacity, Haidong Du, Junhai Cao, Fusheng Liu Oct 2020

Modeling Research On Assessment System For Army Maintenance Work Capacity, Haidong Du, Junhai Cao, Fusheng Liu

Journal of System Simulation

Abstract: A set of simulation model design scheme is proposed to meet the needs of maintenance simulation evaluation of combined army. After analyzing the principle of simulation evaluation of military maintenance capability, the requirements of the evaluation model is analyzed. The generation of maintenance tasks and the modeling scheme of maintenance support system are given; On the basis of the spare parts scheduling and the use process of support equipment, the maintenance support resource model is designed. The modeling basis for the evaluation of equipment maintenance capability of the combined army is provided, which supports the design and application case …


The Expansion From System Simulation To Domain Simulation, Xiaogang Qiu, Yazhou Chen, Zhang Peng Sep 2020

The Expansion From System Simulation To Domain Simulation, Xiaogang Qiu, Yazhou Chen, Zhang Peng

Journal of System Simulation

Abstract: With the generalization of simulation application and complex system simulation becoming the focus, domain simulation is becoming more and more important. In 1995 United States Department of Defense (DoD) presented the master plan of modeling and simulation, which gives birth to the basic idea of domain simulation. The advances in information technology such as network technology and cloud computing help domain simulation to access to use. Taking the change of simulation research object as the basis, the development of simulation research from the aspects of model researches, simulation tools and simulation applications are summarized. The goal of domain simulation …


Simulation Experiment Of Ultrasonic Assisted Grinding Along Axial Direction On Basis Of Deform-3d, Wang Yan, Zhang Sheng, Wang Shuai, Yang Lin, Jianhua Xie Sep 2020

Simulation Experiment Of Ultrasonic Assisted Grinding Along Axial Direction On Basis Of Deform-3d, Wang Yan, Zhang Sheng, Wang Shuai, Yang Lin, Jianhua Xie

Journal of System Simulation

Abstract: Grinding process can be regarded as cumulative cutting effect of a large number of random scattered grits, a novel simulation method concerning ultrasonic vibration assisted single grit grinding was put forward. The single grit grinding of axial ultrasonic vibration was simulated in Deform-3D. The simulation results demonstrate that the maximum temperature in ultrasonic vibration grinding zone is less than that of ordinary grinding zone under the same grinding conditions; Both the normal and tangential force of vibration assisted grinding are less than the ordinary grinding. Grinding temperature and force ratio increase as the increase of abrasive velocity, on the …


Improved Strategy To Reduce Common-Mode Voltage For Matrix Converter, Weizhang Song, Li Xi, Minyuan Li, Yanru Zhong Sep 2020

Improved Strategy To Reduce Common-Mode Voltage For Matrix Converter, Weizhang Song, Li Xi, Minyuan Li, Yanru Zhong

Journal of System Simulation

Abstract: Aiming at the large instantaneous common-mode voltage in traditional space vector modulation strategy for two-stage matrix converter (TSMC), on the basis of analyzing the laws of common-mode voltage, an improved modulation strategy to reduce common-mode voltage was proposed. To suppress common-mode voltage effectively, in this strategy, the rectification stage sector was subdivided into twelve sectors from six sectors, according to the sector of the reference current vector and dc-side voltage, the switching points of inverter stage were redefined and reallocated, and zero vector of inverter was selected and distributed reasonably, instantaneous maximum value of common-mode voltage was reduced to …


Non-Uniform Axial Force Precise Modeling And Simulation Of Recycled Aggregate Concrete Confined By Steel Tube Column, Wenxian Feng, Yunchao Tang, Zhang Ye, Cai Yang, Dingjing Bao, Jinmu Hu Sep 2020

Non-Uniform Axial Force Precise Modeling And Simulation Of Recycled Aggregate Concrete Confined By Steel Tube Column, Wenxian Feng, Yunchao Tang, Zhang Ye, Cai Yang, Dingjing Bao, Jinmu Hu

Journal of System Simulation

Abstract: According to the complexity of non-uniform axial force on recycled aggregate concrete confined by steel tube column, precise modeling and simulation on non-uniform axial force were put forward, mechanic properties of axial force under uniform and non-uniform conditions were analyzed, and its three-dimensional model and force model were established. Then impact of load capacity was analyzed, such as geometric diameter, loading condition, and deformation during production. Force simulation and experimental results fit relatively well. It turned out that uniform axial load capacity was greater than concentrated eccentric axial load capacity. Besides, eccentric axial load capacity was related to eccentricity. …


Simulation On Superframe Transmission Mechanism In Wireless Sensor Networks, Hairong Yan, Yufei Wei, Zhang Yan, Xie Yue, He Kai Sep 2020

Simulation On Superframe Transmission Mechanism In Wireless Sensor Networks, Hairong Yan, Yufei Wei, Zhang Yan, Xie Yue, He Kai

Journal of System Simulation

Abstract: At present, studies on real-time performance and reliability of WSN are mostly based on the performance analysis, protocol optimization or mathematical modeling with IEEE 802.15.4 standard MAC Protocol. However, there is no concern about the large impact on the network real-time and reliability caused by duration of the competitive access control phase (CAP) and non-competitive access control stage (CFP) in the IEEE 802.15.4 standard superframe structure. To solve these problems, a MAC layer superframe mechanism simulation algorithm was designed and implemented to simulate the IEEE802.15.4 standard MAC-layer superframe mechanism by establishing a state machine model. This design also built …


Global Optimization Algorithms For Image Registration And Clustering, Cuicui Zheng Aug 2020

Global Optimization Algorithms For Image Registration And Clustering, Cuicui Zheng

Dissertations

Global optimization is a classical problem of finding the minimum or maximum value of an objective function. It has applications in many areas, such as biological image analysis, chemistry, mechanical engineering, financial analysis, deep learning and image processing. For practical applications, it is important to understand the efficiency of global optimization algorithms. This dissertation develops and analyzes some new global optimization algorithms and applies them to practical problems, mainly for image registration and data clustering.

First, the dissertation presents a new global optimization algorithm which approximates the optimum using only function values. The basic idea is to use the points …


Revision And Thinking About Agent-Based Modeling Research To Group Violent Activity, Chen Peng, Jianguo Chen, Hongyong Yuan Aug 2020

Revision And Thinking About Agent-Based Modeling Research To Group Violent Activity, Chen Peng, Jianguo Chen, Hongyong Yuan

Journal of System Simulation

Abstract: The current work about Agent-based modeling research on group violent incidents was reviewed, which included the social science theory which undertakes the group violence simulation, the studies about Agent categorization, relationship modeling, Agent emotion production, adaptive decision-making process and evolution of complex behaviors. It was indicated that the constructing of Agent model experienced the process in which the Agent model transited from simplicity to more complexity, thus, focusing on individuality and heterogeneity's model construction which was integrated more on sociology and psychology would become a significant development trend. Following that, some suggestions and thinking which included the principle of …


Topology Modeling Of Information Grid Network For Military Applications, Mingqing Zhang, Meilin Wei, Hongshan Kong, Shuqin Dong Aug 2020

Topology Modeling Of Information Grid Network For Military Applications, Mingqing Zhang, Meilin Wei, Hongshan Kong, Shuqin Dong

Journal of System Simulation

Abstract: For the lack of military network topology research and incomprehensive consideration of topology modeling factors, a topology modeling method of information grid network for military applications was proposed. AS-level and router level topology generation algorithms were designed. A seamless integration scheme between two topologies was proposed. Simulation experiments about meeting the conditions for the topological properties and topology model deployment strategy in network simulation environment were implemented. The simulation results show that the information grid network can be remained stable in the overall nature with considering the growth, death, “preferential attachment”, invulnerability and other factors of …


Signaling Game Analysis And Simulation On Network Decoy Defense Strategies, Leyi Shi, Junnan Zhao, Li Qin, Wen Xiao, Liu Xin Aug 2020

Signaling Game Analysis And Simulation On Network Decoy Defense Strategies, Leyi Shi, Junnan Zhao, Li Qin, Wen Xiao, Liu Xin

Journal of System Simulation

Abstract: The network decoy confrontation is regarded as a kind of observable behavior of a multi-stage signaling game. Four types of gaming models for decoy confrontation process were constructed step by step using signaling game theory, i.e. the normal service, the mixed system of normal service and honeypot, the mixed system with two kinds of signaling, and the mixed system with two kinds of signaling and three actions. In these signaling game models, the server sent a normal signaling or honeypot signaling as the sender, while the attacker chose to access, give up or access in condition as the …


Repairable K/N Voting System Life Situation Model Analysis And Simulation From Time Response, Yongfeng Fang, Jianjun Chen Aug 2020

Repairable K/N Voting System Life Situation Model Analysis And Simulation From Time Response, Yongfeng Fang, Jianjun Chen

Journal of System Simulation

Abstract: For the k of k/n system is given according to the one's experience in the current, the probability of the failure of the singular system components was given according to the stress-strength interference theory and the load distribution of the component withstand. The dynamic reliability prediction model of the repairable k/n system was established by using probabilistic differential equations and by the repairable system components moving in reliable and failure. The equation was solved and their answers were shown to give the precisely k when the k would be determined. The model shows accuracy and feasibility …


Random-Walk Smokescreen Simulation Model Of Real-Time Correction, Sun Xun, Xuanyu Wang, Wang Xian, Shunhua Liu Aug 2020

Random-Walk Smokescreen Simulation Model Of Real-Time Correction, Sun Xun, Xuanyu Wang, Wang Xian, Shunhua Liu

Journal of System Simulation

Abstract: Gaussian diffusion mode of smokescreen is not suitable for complex atmospheric conditions and it is not easy to accurately obtain statistical properties of particles by utilizing random-walk mode, so the practicability of these two kinds of modes is limited. In view of the problems mentioned above, the revised random-walk smokescreen simulation model method was put forward, in the method, mathematical morphology algorithm was utilized to detect the data on smokescreen edge in a video in real-time and the model was rectified in real-time on basis of such data. The test result indicates that the revised model is suitable for …