Advancing Internet Viewpoint Diversity: A Novel Algorithm And A Corpus Creation Tool,
2023
Claremont Graduate University
Advancing Internet Viewpoint Diversity: A Novel Algorithm And A Corpus Creation Tool, Jeffrey Harwell
CGU Theses & Dissertations
A fundamental requirement for Western democracy is an informed and engaged electorate with access to a wide range of viewpoints. However, concerns have arisen regarding how information technology affects the diversity of viewpoints available. In response to an increasingly polarized society and worries surrounding filter bubbles and algorithmic bias, this research presents a novel tool for constructing internet-based topical corpora and an algorithm tailored for viewpoint detection and the curation of diverse search results.Following a comprehensive exploration of viewpoint diversity through the lenses of mass media, social psychology, and information retrieval, this dissertation presents an approach to operationalize viewpoint diversity …
Construction Industry: Profitable Corporate Sustainability Strategies And Processes Achieve Competitive Advantage,
2023
Walden University
Construction Industry: Profitable Corporate Sustainability Strategies And Processes Achieve Competitive Advantage, Chad Justin Czelusniak-Serviss
Walden Dissertations and Doctoral Studies
Some construction industry managers lack strategies to integrate corporate sustainability strategies and processes for competitive advantage, which causes limited profitability. Grounded in the general systems theory, the purpose of this multiple case study was to explore corporate sustainability strategies and processes senior and mid-level construction industry managers use to achieve competitive advantage in the United States. The participants were eight senior/mid-level construction industry managers from eight different construction industry organizations with at least five years of experience in the construction industry who utilized corporate sustainability strategies and processes. Data were collected using semistructured interviews. Three themes emerged using thematic analysis: …
Construction Industry: Profitable Corporate Sustainability Strategies And Processes Achieve Competitive Advantage,
2023
Walden University
Construction Industry: Profitable Corporate Sustainability Strategies And Processes Achieve Competitive Advantage, Chad Justin Czelusniak-Serviss
Walden Dissertations and Doctoral Studies
Some construction industry managers lack strategies to integrate corporate sustainability strategies and processes for competitive advantage, which causes limited profitability. Grounded in the general systems theory, the purpose of this multiple case study was to explore corporate sustainability strategies and processes senior and mid-level construction industry managers use to achieve competitive advantage in the United States. The participants were eight senior/mid-level construction industry managers from eight different construction industry organizations with at least five years of experience in the construction industry who utilized corporate sustainability strategies and processes. Data were collected using semistructured interviews. Three themes emerged using thematic analysis: …
Computational Decision Support For Socio-Technical Awareness Of Land-Use Planning Under Complexity—A Dam Resilience Planning Case Study,
2023
The MITRE Corporation & Old Dominion University
Computational Decision Support For Socio-Technical Awareness Of Land-Use Planning Under Complexity—A Dam Resilience Planning Case Study, Andreas Tolk, Jennifer A. Richkus, F. Leron Shults, Wesley J. Wildman
VMASC Publications
Land-use planning for modern societies requires technical competence as well as social competence. We therefore propose an integrative solution enabling better land-use planning and management through better-informed decision-making. We adapt a method developed for cross-disciplinary team building to identify the stakeholders and their various objectives and value systems. We use these results to populate artificial societies embedded into a dynamic data analytics framework as a tool to identify, explore, and visualize the challenges resulting from the different objectives and value systems in land-use planning and management. To prove the feasibility of the proposed solution, we present two use cases from …
Modeling Wealth Distribution In A Society,
2023
Old Dominion University
Modeling Wealth Distribution In A Society, Dylan Berns, Peihsien Sun, Adrian V. Gheorghe
Engineering Management & Systems Engineering Faculty Publications
The interconnectedness of social mood, changing dynamics, income inequality, and wealth distribution underscores the complexity of understanding and addressing these issues. This complexity inspires researchers to develop models and conduct further research to gain insights into the mechanisms driving income inequality and wealth distribution. By studying these phenomena more comprehensively, one can aim to develop strategies and policies that promote a more equitable distribution of wealth and opportunities, thereby fostering social stability and economic prosperity. In the present paper, there was build a model on wealth distribution and income inequality to help people understand the complexities of wealth inequality and …
Nonprofit Business And Management Challenges Encountered When Delivering Services And Fulfilling Organizational Missions,
2023
Walden University
Nonprofit Business And Management Challenges Encountered When Delivering Services And Fulfilling Organizational Missions, Becky A. Hammer
Walden Dissertations and Doctoral Studies
Failure of nonprofit organizations (NPOs) causes negative impacts to community service users and the NPO workforce. Although the impact of NPO failure has been researched, a comprehensive understanding of business and organizational challenges from the NPO leaders’ perspective was not well documented. Learning more about these challenges may assist with understanding how to best support and solve them. The purpose of this qualitative single case study was to explore the business and management-related barriers and challenges NPO leaders encounter when delivering services and fulfilling organizational missions in the Greater Austin Metropolitan Statistical Area in Texas. The conceptual model included the …
Machine-Assisted Discovery Of Integrable Symplectic Mappings,
2023
Fermilab
Machine-Assisted Discovery Of Integrable Symplectic Mappings, T. Zolkin, Y. Kharkov, S. Nagaitsev
Physics Faculty Publications
We present a new automated method for finding integrable symplectic maps of the plane. These dynamical systems possess a hidden symmetry associated with an existence of conserved quantities, i.e., integrals of motion. The core idea of the algorithm is based on the knowledge that the evolution of an integrable system in the phase space is restricted to a lower-dimensional submanifold. Limiting ourselves to polygon invariants of motion, we analyze the shape of individual trajectories thus successfully distinguishing integrable motion from chaotic cases. For example, our method rediscovers some of the famous McMillan-Suris integrable mappings and ultradiscrete Painlevé equations. In total, …
Overview Of Research And Application On Autonomous Vehicle Oriented Perception System Simulation,
2022
Department of Civil Engineering, Tsinghua University, Beijing 100084, China;
Overview Of Research And Application On Autonomous Vehicle Oriented Perception System Simulation, Ruoxuan Wang, Jianping Wu, Hui Xu
Journal of System Simulation
Abstract: Following the rapid progress of science and technology, vehicles with autonomous driving or auxiliary driving function enter into vehicle market. However, in the past decade, traffic accidents still occurred frequently, and the safety of these functions become the focus. Simulation technology provides a good platform to test the perception system of autonomous vehicle. Focus on the sensor simulation modeling of autonomous vehicle perception system, from the perspective of single sensor simulation, multi-sensor simulation and classic simulation platform including millimeter wave radar, lidar and camera, the existing research are reviewed, and the shortcomings and development trends of simulation modeling of …
Anomaly Detection Method Of Electrical Power Consumption Based On Deep Autoencoder,
2022
Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Jiangnan University, Wuxi 214122, China;
Anomaly Detection Method Of Electrical Power Consumption Based On Deep Autoencoder, Ningke Sun, Yan Wang, Zhicheng Ji
Journal of System Simulation
Abstract: Aiming at the nonlinear and non-stationary characteristics of electrical power consumption data, an abnormal electrical power consumption detection model based on deep autoencoder is proposed. Gated recurrent unit (GRU) network of the deep learning is combined with autoencoder structure, and the encoder and decoder parts of traditional autoencoder are realized by gated recurrent unit network, which gives full play to the data feature extraction capability of gated recurrent unit and the data reconstruction function of autoencoder structure. Based on the reconstruction error between original data and reconstructed data, abnormal data points of the electrical power consumption are detected. By …
Short-Term Prediction Method Of Wind Power Based On Blp-Alo-Svm,
2022
Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Jiangnan University, Wuxi 214122, China;
Short-Term Prediction Method Of Wind Power Based On Blp-Alo-Svm, Yefeng Jiao, Yan Wang, Zhicheng Ji
Journal of System Simulation
Abstract: To effectively predict the short-term wind power and its fluctuation range, a prediction method based on hybrid algorithm-optimized support vector machine is proposed. Exploratory data analysis is used to preprocess the original wind speed data to improve the data quality. Chaotic map, Levy flight strategy and particle swarm optimization are used to improve the ant lion algorithm. The support vector machine model optimized by hybrid algorithm is used to predict the wind power. The experimental results show that, compared with the new wind power prediction model, the prediction error of the output results of the method is lower, and …
Simulation-Driven Based Utility Evaluation And Recommendation Of Expressway Proactive Speed Limit,
2022
1.School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China;2.Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport, Beijing Jiaotong University, Beijing 100044, China;3.Beijing Research Center of Urban Traffic Information Sensing and Service Technologies, Beijing Jiaotong University, Beijing 100044, China;
Simulation-Driven Based Utility Evaluation And Recommendation Of Expressway Proactive Speed Limit, Geqi Qi, Sijin Liu, Yikang He, Meng Wang, Ailing Huang
Journal of System Simulation
Abstract: Outside the specific punishment area, the traditional roadside passive speed limit mode lacks traffic management, and thus which indirectly leads to the inconsistency or even sudden change of vehicle behaviors in time and space, thereby affects the traffic efficiency and safety. Focusing on the proactive speed limit mode at vehicle side, a utility evaluation and recommendation method is proposed, which carries out the multi-scenario traffic simulation for varied proactive and passive speed limit considering road line types, traffic flow and vehicle type proportion. From the two perspectives of safety and efficiency, the utility evaluation indicators and weights are extracted …
Simulation On Flood Disaster In Urban Building Complex System Based On Lbm,
2022
1.Central South Architectural Design Institute, Wuhan 430071, China;
Simulation On Flood Disaster In Urban Building Complex System Based On Lbm, Shen Zhang, Zewang Yang, Yifan Wang, Liang Sun, Ming Cheng, Fankai Meng, Ting Li
Journal of System Simulation
Abstract: Because of the extreme climate change, the potential flood disaster risk in the southeast coastal areas of China can not be ignored. Based on lattice Boltzmann computational fluid dynamics method, a three-dimensional simulation study of waterlogging process in tsunami impact scenario is carried out for a coastal city building complex system, and the reliability and accuracy of the numerical simulation method for the flood impact test of an ideal building complex are verified. The results show that the buildings along rivers and coastlines have obvious cloaking effect, while the buildings inside the city are less affected by floods. The …
Research On Modeling And Simulation Technology Of Microwave Radar High Precision Tracking Loop,
2022
1.Science and Technology on Special System Simulation Laboratory, Beijing Simulation Center, Beijing 100854, China;2.Beijing Institute of Electronic Engineering Institute, Beijing 100854, China;
Research On Modeling And Simulation Technology Of Microwave Radar High Precision Tracking Loop, Jiaji Lou, Jing Ma, Xiaowei Li, Yue Zhao, Youbin Song
Journal of System Simulation
Abstract: Aiming at the key problem of high-precision tracking loop design of a measurement radar for the weak signal (low carrier to noise ratio signal) in dynamic environment, the design and optimization methods of carrier tracking loop and code tracking loop are focused on. A signal structure with a single carrier as a pilot is proposed, and the loop structure of the frequency-locked loop and the phase-locked loop working together is studied. The modeling and simulation on the two structures show that for the week signal tracking in a dynamic environment, the loop combination structure of the frequency-serial auxiliary …
Research On Parameter Construction Method Of Blue Army Equipment Model Based On A Deep Network,
2022
School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China;
Research On Parameter Construction Method Of Blue Army Equipment Model Based On A Deep Network, Boyuan Zhang, Guanghong Gong, Ze Wang, Ni Li
Journal of System Simulation
Abstract: The modeling of blue army equipment is an indispensable part of adversarial simulation environment construction. Aiming at the limited available parameters of "information-poor" and "small sample" characteristics to the blue system, a deep network-based method is proposed to generate the parameters of blue army equipment model. By injecting the information into the simulation model of the blue army equipment, the simulation data is generated and trained in the deep neural network. The obtained network has a certain generalization ability to the unknown parameters prediction of the same type of equipment and can be used directly in prediction or be …
Multi-Robot Path Planning Based On Cbs Algorithm,
2022
Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Jiangnan University, Wuxi 214122, China;
Multi-Robot Path Planning Based On Cbs Algorithm, Qiao Qiao, Yan Wang, Zhicheng Ji
Journal of System Simulation
Abstract: Aiming at the long multi-robot planning path and long one-way search running time of conflict-based search(CBS) in the multi-agent path finding(MAPF), an improved CBS algorithm is proposed, which in a two-way A* focus search is used to optimize the search direction and search method. The suboptimal factorωis introduced into the underlying search function of the CBS algorithm to improve the efficiency of path search. The one-way search in the conflict search algorithm is optimized to a two-way A* search. The experimental results show that the path cost of the improved CBS algorithm is shortened …
Research On Complex Combat Network Dynamic Evolution Based On Information Entropy,
2022
1.Beijing Simulation Center, Beijing 100854, China;2.Beijing Institute of Electronic System Engineering, Beijing 100854, China;
Research On Complex Combat Network Dynamic Evolution Based On Information Entropy, Lianyi Zhang, Xisheng Shen, Duzheng Qing, Han Zhang, Min Zhou, Xifu Wang
Journal of System Simulation
Abstract: Network-centric warfare, distributed and decentralized command and control gradually replace separately the traditional platform-centric warfare and centralized command and control, and information has become a combat capability. Based on the new information weapon equipment system operation loop, a complex combat network model based on information entropy is constructed, and the combat capability measurement method is proposed. On the basis of the combat capability upgrade being the network driving force, the dynamic evolution rule of the complex combat network is designed and the preferential evolution and stochastic evolution models are constructed. According to a typical system combat example, the influence …
Sis-Based Modeling And Simulation Analysis On Exercise Benefit Perception Transmission,
2022
1.School of Management, Shandong University, Ji'nan 250100, China;
Sis-Based Modeling And Simulation Analysis On Exercise Benefit Perception Transmission, Lei Wang, Jinhai Sun, Tuojian Li
Journal of System Simulation
Abstract: In order to distinguish the relationship between individual health behavior change and collective health behavior emergence, deal with the challenges of mathematical description of typical health information dissemination processes in social networks and social experiments, SIS(susceptible-infected-susceptible)model is introduced to simulate the dissemination process of classical health information exercise effect perception to meet the requirements of social system complexity, individual diversity and intelligence. To carry out numerical experiments on the propagation process of exercise effect perception to identify the phase change process of the collective health behavior emergence, agent-based modeling and simulation are utilized through NetLogo. Experimental results show …
Low Voltage Ride-Through Modeling For Wind Turbines Based On Neural Odes,
2022
Department of Electrical Engineering, Tsinghua University, Beijing 100084, China;
Low Voltage Ride-Through Modeling For Wind Turbines Based On Neural Odes, Qiping Lai, Tannan Xiao, Dongsheng Li, Chen Shen
Journal of System Simulation
Abstract: Considering the difficulty of equivalent modeling of low voltage ride-through(LVRT) characteristics of a wind farm, a neural ordinary differential equation(ODE)-based wind farm LVRT modeling methodis proposed. The input of the model is the voltage and wind speed of each wind turbine at the grid connection point of wind farm, and the output is the current at the grid connection point. The model can better characterize the strong nonlinear switching process and describe LVRT characteristics of wind farms under different wind speed scenarios. A simulation example of a wind farm including three doubly-fed induction generators(DFIGs) is established on …
Fast Generation Method Of Multi-Sensing Channel Fusion Virtual Experiment,
2022
1.School of Electromechanical Engineering, Guangdong University of Technology, Guangzhou 510006, China;
Fast Generation Method Of Multi-Sensing Channel Fusion Virtual Experiment, Jingwei Deng, Hanwu He, Yueming Wu, Jianhao Su
Journal of System Simulation
Abstract: Aiming at the low development efficiency and single experience in traditional virtual experiments, a rapid generation method of multi-sensing channel fusion virtual experiment visualization is proposed. The experimental steps and sequence of experimental steps of the virtual experiment are defined. A parameterized description method of experimental elements based on Petri net is proposed to describe the sequence of experimental steps, which breaks through the constraints the established procedure steps of traditional virtual experiments and supports the exploratory virtual experiments. The visual expression method of the routing graph and the conversion method between the routing graph and the Petri …
Research On Iterative Calculation And Optimization Methods Of Aero-Engine On-Board Model,
2022
School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an 710049, China;
Research On Iterative Calculation And Optimization Methods Of Aero-Engine On-Board Model, Xinghua Luo, Jia Geng, Ming Li, Bei Liu, Lei Wang, Zhiping Song
Journal of System Simulation
Abstract: Aeroengine is a complex and time-varying multivariable thermophysical system. The research on the convergence accuracy and rate of the component-level model is of great significance to the model-based engine health management, performance and fault-tolerant control. The existing engine component-level models are generally based on the traditional quasi-Newton method to solve the equilibrium equations simultaneously. Compared with the traditional Newton-Raphson method (N-R method), the convergence speed is optimized, but it is difficult to meet accuracy and real-time requirements of the dynamic model airborne applications within the full envelope. An adaptive variable step factor quasi-Newton method is proposed, which can reduce …
