Incorporating Demographic Structure And Variable Interaction Types Into Community Assembly Models,
2021
University of Mississippi
Incorporating Demographic Structure And Variable Interaction Types Into Community Assembly Models, Akhil Reddy Alasandagutti, Nayan Chawla
Honors Theses
Theoretical studies of ecological food webs have allowed ecologists to remove the constraints of specific location and timescales from their study of ecological communities; food webs are generally complex and thus empirical study is difficult. Further, this theoretical approach allows ecologists to compare ecological processes and outcomes across any possible food web structures. However, these simulated communities are only as useful as the model from which they were constructed. Modifying existing considerations in these models, and generating new ones, are the jobs of theoretical ecologists that seek to achieve the shared goal of a majority of simulations: representation of real …
Prediction, Recommendation And Group Analytics Models In The Domain Of Mashup Services And Cyber-Argumentation Platform,
2021
University of Arkansas, Fayetteville
Prediction, Recommendation And Group Analytics Models In The Domain Of Mashup Services And Cyber-Argumentation Platform, Md Mahfuzer Rahman
Graduate Theses and Dissertations
Mashup application development is becoming a widespread software development practice due to its appeal for a shorter application development period. Application developers usually use web APIs from different sources to create a new streamlined service and provide various features to end-users. This kind of practice saves time, ensures reliability, accuracy, and security in the developed applications. Mashup application developers integrate these available APIs into their applications. Still, they have to go through thousands of available web APIs and chose only a few appropriate ones for their application. Recommending relevant web APIs might help application developers in this situation. However, very …
Image Analysis Of Charged Bimodal Colloidal Systems In Microgravity.,
2021
University of Louisville
Image Analysis Of Charged Bimodal Colloidal Systems In Microgravity., Adam J. Cecil
Electronic Theses and Dissertations
Colloids are suspensions of two or more phases and have been topics of research for advanced, tunable materials for decades. Stabilization of colloids is typically attributed to thermodynamic mechanisms; however, recent studies have identified transport or entropic mechanisms that can potentially stabilize a thermodynamically unstable colloidal system. In this study, suspensions of silsesquioxane microparticles and zirconia nanoparticles were dispersed in a nitric acid solution and allowed to aggregate for 8-12 days in microgravity aboard the International Space Station. The suspensions were subsequently imaged periodically at 2.5x magnification. Due to the inadequacy of existing image analysis programs, the python package “Colloidspy” …
A Framework To Detect The Susceptibility Of Employees To Social Engineering Attacks,
2021
Embry-Riddle Aeronautical University
A Framework To Detect The Susceptibility Of Employees To Social Engineering Attacks, Hashim H. Alneami
Doctoral Dissertations and Master's Theses
Social engineering attacks (SE-attacks) in enterprises are hastily growing and are becoming increasingly sophisticated. Generally, SE-attacks involve the psychological manipulation of employees into revealing confidential and valuable company data to cybercriminals. The ramifications could bring devastating financial and irreparable reputation loss to the companies. Because SE-attacks involve a human element, preventing these attacks can be tricky and challenging and has become a topic of interest for many researchers and security experts. While methods exist for detecting SE-attacks, our literature review of existing methods identified many crucial factors such as the national cultural, organizational, and personality traits of employees that enable …
Achieving Differential Privacy And Fairness In Machine Learning,
2021
University of Arkansas, Fayetteville
Achieving Differential Privacy And Fairness In Machine Learning, Depeng Xu
Graduate Theses and Dissertations
Machine learning algorithms are used to make decisions in various applications, such as recruiting, lending and policing. These algorithms rely on large amounts of sensitive individual information to work properly. Hence, there are sociological concerns about machine learning algorithms on matters like privacy and fairness. Currently, many studies only focus on protecting individual privacy or ensuring fairness of algorithms separately without taking consideration of their connection. However, there are new challenges arising in privacy preserving and fairness-aware machine learning. On one hand, there is fairness within the private model, i.e., how to meet both privacy and fairness requirements simultaneously in …
Snore: An Intuitive Algorithm For Accurately Simulating N-Body Orbits,
2021
Murray State University
Snore: An Intuitive Algorithm For Accurately Simulating N-Body Orbits, Connor L. Nance
Honors College Theses
We present SnOrE (Simple n-body Orbital Engine), a Python package which aims to simulate n-body orbital systems while simultaneously overcoming early educational barriers of computational astrodynamics for undergraduate physics students. SnOrE exploits rudimentary syntax and commonly-understood Python libraries to accurately simulate orbits of systems, given initial position and momentum conditions of each body in the system. As the n-body problem is as of yet unsolvable theoretically for n ≥ 3, having a numerical perspective on complicated orbits is of great importance to potentially understanding the processes of star and planet formation. Especially significant examples of this research …
Characterizing Students’ Engineering Design Strategies Using Energy3d,
2021
Purdue University
Characterizing Students’ Engineering Design Strategies Using Energy3d, Jasmine Singh, Viranga Perera, Alejandra Magana, Brittany Newell
Discovery Undergraduate Interdisciplinary Research Internship
The goals of this study are to characterize design actions that students performed when solving a design challenge, and to create a machine learning model to help future students make better engineering design choices. We analyze data from an introductory engineering course where students used Energy3D, an open source computer-aided design software, to design a zero-energy home (i.e. a home that consumes no net energy over a period of a year). Student design actions within the software were recorded into text files. Using a sample of over 300 students, we first identify patterns in the data to assess how students …
Mesoscopic Traffic Simulation Model And Calibration Considering Stretching-Segment Design,
2021
1. Research Center of Intelligent Transport System, Sun Yat-Sen University, Guangzhou 510006, China; ;2. Guangdong Provincial Key Laboratory of Intelligent Transport System, Guangzhou 510006, China; ;
Mesoscopic Traffic Simulation Model And Calibration Considering Stretching-Segment Design, Zhaocheng He, Xuanhua Lin, Peilin Nie, Ronghui Zhang
Journal of System Simulation
Abstract: In order to make the simulation model fit the characteristics of urban traffic, both high accuracy and high performance, a lightweight mesoscopic traffic simulation system and the process of calibration are established. The speed-density model and vertical queue model are equivalent to the vehicle movement processes, the simulation accuracy and calibration efficiency are improved by the stretching-segment design at urban intersections of vertical queuing model, and the real individual vehicle information is used as the calibration data source. The application of the model in Xuancheng urban road network shows that, compared with the vertical queuing model, it can …
Modeling And Simulation Of Electric Vehicle Industry Development Based On System Dynamics,
2021
The Center of Collaboration and Innovation, Jiangxi University of Technology, Nanchang 330098, China;
Modeling And Simulation Of Electric Vehicle Industry Development Based On System Dynamics, Yueqiang Fu, Tiantian Xia
Journal of System Simulation
Abstract: New energy electric vehicle are the main trend of automobile industry upgrading. It plays an important role in ensuring the energy security and improving the ecological environment. It is of theoretical and practical significance to carry out research on the development of new energy electric vehicles. The affecting factors are systematically analyzed, the causal relationship model and stock flow model are established, and the dynamic equation of the model are determined and the parameter assignments are made. The model is verified and the system simulation and analysis are performed. The development trend and main influencing factors of …
Research On Some Questions Of Simulation Body Of Knowledge,
2021
1. College of Systems Engineering, National University of Defense Technology, Changsha 410073, China; ;2. The PLA's 31002 Unit, Beijing 100094, China;
Research On Some Questions Of Simulation Body Of Knowledge, Xiaogang Qiu, Duan Hong, Xie Xu, Bin Chen
Journal of System Simulation
Abstract: Simulation body of knowledge (BOK) is the knowledge required to conduct Modeling and Simulation (M&S) activities, which is a logic system consisting of concepts, propositions, and inferences that are tightly related to each other. The simulation BOK organizes the M&S knowledge in a hierarchical way, reflects the composition and structure of the knowledge in the M&S domain. The establishment of the simulation BOK is crucial to advance the M&S research and education. The requirements for establishing the simulation BOK are summarized, three basic features of the simulation knowledge, practical, systematical, and epochal are discussed, the challenges of establishing the …
Research On Combat Simulation Body Of Knowledge,
2021
1. College of Systems Engineering, National University of Defense Technology, Changsha 410073, China; ;
Research On Combat Simulation Body Of Knowledge, Xie Xu, Xiaogang Qiu, Duan Hong, Kedi Huang
Journal of System Simulation
Abstract: Combat simulation is an important research method in modern military domain, since it provides a virtual battlespace for entities of various types that are involved in a battle to interact with each other. Over last several decades, combat simulation has been widely applied in different applications, and as a result the body of knowledge of combat simulation has been extended a lot. The relevant articles and textbooks in combat simulation are extensively investigated, and a three-layer structure to organize the body of knowledge of combat simulation is proposed. Eleven knowledge areas that should be included in the combat simulation …
Study On Relay Selection Algorithm Based On Swipt Wireless Cooperative Network,
2021
1. School of Computer & Information, Anhui Normal University, Wuhu 241002, China; ;2. Anhui Provincial Key Laboratory of Network and Information Security, Wuhu 241002, China;
Study On Relay Selection Algorithm Based On Swipt Wireless Cooperative Network, Qun Fang, Xukai Chen, He Xin, Yujun Zhu, Yiyang Liu, Yangyang Fang, Heju Li
Journal of System Simulation
Abstract: Although the wireless cooperative networks (WCN) significantly improve the communication quality and network throughput of wireless communications. However, it still faces the challenge of the network lifetime and the energy replenishment due to the energy limitation of relay nodes. In order to tackle this challenge, A multi-relay wireless cooperative network combined with the simultaneous wireless information and power transfer (SWIPT) is proposed and the theoretical performance under the Nakagami-m assumption is analyzed. The selection of the optimal relay node for wireless cooperative networks in the framework of the proposed system is studied. The outage probability of the system …
Combined Gearbox Transmission Ratio Optimization Research Based On Hybrid Particle Swarm,
2021
College of Engineering, South China Agricultural University/ Key Laboratory of Key Technology on Agriculture Machine and Equipment, Ministry of Education, Guangzhou 510642, China;
Combined Gearbox Transmission Ratio Optimization Research Based On Hybrid Particle Swarm, Runhong Wang, Hongjun Wang, Xiangjun Zou, Zeqin Zeng, Li Hui, Zhaofeng Huang, Weiliang Liu
Journal of System Simulation
Abstract: Aiming at the difficulty to obtain the optimal solution for the transmission ratio distribution of combined transmission, an optimization method for the transmission ratio of the combined multi-speed transmission based on the hybrid particle swarm optimization algorithm is proposed. Based on the multi-objective particle swarm algorithm, a leader population with a self-renewal mechanism is introduced to form a hybrid particle swarm algorithm. A multi-objective optimization model is established by taking the transmission ratio of each stage of single-speed transmission as a variable, combining the transmission chain layout, taking the driving power loss rate, specific fuel consumption loss …
Compensation Sliding Cross Coupling Control Research Of Cartesian Coordinate Robot,
2021
China Simulation Federation
Compensation Sliding Cross Coupling Control Research Of Cartesian Coordinate Robot, Wang Wei, Zhimei Chen, Zhenyan Wang
Journal of System Simulation
Abstract: For a typical Cartesian coordinate robot controls precision is low, based on a single-axis mathematical model, a contour error model for a typical robot whose axes are orthogonal to each other is established. An improved double-power approach law is used to design a terminal sliding mode controller to improve the robot. The integral compensation terms are added to stably compensate the position accuracy of each axis to improve the overall trajectory tracking accuracy, and the cross-coupling control between the axes is used to eliminate the contour error between the axes. It not only weakens the chattering of traditional sliding …
Load System Modeling Of Ultra-Supercritical Coal-Fired Power Unit Based On Improved Particle Swarm Optimization,
2021
Research Center of Intelligent Management and Control for Power Process, College of Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China;
Load System Modeling Of Ultra-Supercritical Coal-Fired Power Unit Based On Improved Particle Swarm Optimization, Yuzhen Sun, Yiwei Tang, Li Shuai
Journal of System Simulation
Abstract: Aiming at the difficulties in modeling due to variables coupling of ultra-supercritical coal-fired power unit and defects in basic particle swarm optimization, an improved particle swarm optimization algorithm for modeling of load system is proposed. The algorithm introduces the idea of adaptive, Cauchy mutation and gradient guidance crossover, which improves the problems of particle swarm optimization algorithm being prone to premature convergence and has the poor local searching ability. By collecting the actual operation data of the power plant, using the adaptive Cauchy mutation and gradient guidance cross particle swarm optimization (GMGPSO) algorithm, the model established and validated …
Visual Simulation Platform For Visible Light Reconnaissance Load Of Unmanned Aerial Vehicle,
2021
1. Beijing Institute of Technology, School of Automation, Beijing 100081, China; ;
Visual Simulation Platform For Visible Light Reconnaissance Load Of Unmanned Aerial Vehicle, Yuzhou Chen, Li Yuan, Qinglin Wang, Zhang Qing, Jinyuan Zhang
Journal of System Simulation
Abstract: In view of the simulation and evaluation requirement of the visual system parameters on the performance of video imaging during the operation and reconnaissance of unmanned aerial vehicle, a visual simulation platform for the reconnaissance load is designed and constructed. The collected video is processed according to the visual system parameters and the flight parameters, and the support for the evaluation and the index design of the unmanned aerial vehicle reconnaissance load system is provided, and the guidance is provided for the flight parameters and the flight track setting when the unmanned aerial vehicle reconnaissance and operation …
Design And Electromagnetic Simulation Of Split Switched Reluctance Dual-Rotor Motor,
2021
1. Institute of Aeronautics, Chongqing Jiaotong University, Chongqing 400074, China; ;
Design And Electromagnetic Simulation Of Split Switched Reluctance Dual-Rotor Motor, Deng Tao, Deng Song
Journal of System Simulation
Abstract: There are some problems such as bad heat dissipation and electromagnetic coupling for the traditional dual-rotor motor of hybrid electric vehicles. Two SRMs of same size are mechanically connected through a coupling to form a dual-rotor motor with two rotors and one stator. A split switched reluctance dual-rotor motor (SSR-DRM) is innovatively designed. The working principle and multi-operating mode of SSR-DRM are analyzed, and the parameters design, modeling and electromagnetic simulation are implemented. The parameters of design and simulation are compared and analyzed from the aspects of magnetic line distribution, magnetic density, transient torque and no-load back …
Subway System Resilience Evaluation In Based On Anp-Extension Cloud Model,
2021
School of Civil and Architecture Engineering, Xi'an Technological University, Xi'an 710021, China;
Subway System Resilience Evaluation In Based On Anp-Extension Cloud Model, Qingjun Guo, Qianwen Hao, Yijie Wang, Wang Jing
Journal of System Simulation
Abstract: In order to improve the safety defense ability and risk resistance level of the subway construction site, it is necessary to improve the risk resistance and accident recovery ability of the safety system. The resilience theory is applied in the safety management of subway construction engineering by defining whether the resilience connotation is applicable to the safety system. According to the bibliometric method and Delphi method, the resilience evaluation index is selected and the system resilience is evaluated by constructing comprehensive evaluation model of ANP-extension cloud. The Xi'an 14th Metro Line is taken as an applilation example. The evaluation …
Small Fault Detection Based On Cumulative Sum Of Neighbor Statistic,
2021
Information Engineering School, Shenyang University of Chemical Technology, Shenyang 110142, China;
Small Fault Detection Based On Cumulative Sum Of Neighbor Statistic, Xiaoping Guo, Jiajun Gao, Jianbin Guo, Li Yuan
Journal of System Simulation
Abstract: Aiming at the small faults and the common data non-linear problems of industrial process, a fault detection method based oncumulative sum of neighbor statistic (CUSUM-NS) is proposed. Mutual information principal component analysis (MIPCA) is used to reduce the dimension of training data, and the principal components based on mutual information are extracted to construct a new sample space. For the new sample space after dimensionality reduction, the nonlinear features of the process data can be fully extracted through the distance square sum statistics of k nearest neighbors. Cumulative summation(CUSUM) method is used to accumulate the sum of squares of …
Study On Composition Of Simulation Discipline Knowledge Areas,
2021
1. College of Systems Engineering, National University of Defense Technology, Changsha 410073, China; ;
Study On Composition Of Simulation Discipline Knowledge Areas, Duan Hong, Xiaogang Qiu, Xie Xu, Rusheng Ju
Journal of System Simulation
Abstract: Many disciplines, such as Software Engineering, Automation, have sorted out and formed their own knowledge areas and constructed their Body of Knowledge to steer teaching and study efforts. Describing the composition of Modeling and Simulation body of knowledge from the perspective of knowledge area plays an important role in the simulation engineering education and the development of simulation technology. According to the needs of simulation teaching, the body of knowledge of simulation discipline is divided into three levels, knowledge area, knowledge unit and knowledge topic. On the basis of reviewing the current status of the research and the role …
