Uniform Experimental Design With Constrained Region Based On Fruit Fly Algorithm,
2023
1.College of Computer and Cyber Security, Fujian Normal University, Fuzhou 350117, China;
Uniform Experimental Design With Constrained Region Based On Fruit Fly Algorithm, Jiawei Zhou, Xin Du, Youcong Ni, Hu Zhang, Hao Zhang, Haoran Ni, Feng Wang
Journal of System Simulation
Abstract: To solve the problems that existing two-phase differential evolutionary algorithms still have poor diversity of population distribution and weak local search ability in solving uniform designs in constrained experimental region, a new two-phase fruit fly optimization algorithm (ToPFOA) based on uniform experimental design is proposed. In the first stage, fruit fly search strategy combined with differential operator, K-means clustering and external document updating the centers of clusters is used todynamically improve distribution diversity of population in constrained region. In the second stage, a new fruit fly operator is designed to improve local search ability in constrained region. …
Drosophila Retina Simulation System And The Emergence Of Orientation Selectivity,
2023
1.Institute of Science and Technology for Brain-inspired Intelligence (ISTBI), Fudan University, Shanghai 200433, China;2.Research Institute of Intelligent Complex Systems, Fudan University, Shanghai 200433, China;
Drosophila Retina Simulation System And The Emergence Of Orientation Selectivity, Ziyu Liu, Yiran Zhuo, Zhuoyi Song
Journal of System Simulation
Abstract: To investigate the biophysical mechanisms underlying the Drosophila retinal computations, a piece of simulation software is constructed. By constructing the connectivity of the optical structure of the Drosophila compound eye with the neural network and retinal neuronal information encoding processes,, the retinal transformation from the light to the electrical signals is simulated. The photo-transduction model is optimized by a stochastic process. The generating mechanism of orientation selectivity (OS) is explored in the Drosophila retina's output neurons through a simulation system. Experiments show that with comparable simulation accuracy, the simulation speed increases by 40 times. The software can now be …
Research On Multiple Filter Signal Compensation For Washout Algorithm Optimization Of Flight Simulator,
2023
College of Aeronautical Engineering, Civil Aviation University of China, Tianjin 300300, China;
Research On Multiple Filter Signal Compensation For Washout Algorithm Optimization Of Flight Simulator, Weichao Liu, Hui Wang
Journal of System Simulation
Abstract: Aiming at the defects of signal loss and poor adaptability of the classical washout algorithm when applied to flight simulator, an optimization scheme of washing algorithm based on multiple filtering signal compensation is proposed. Analyzing the lost signal in classical washout algorithm, intercepting the lost signals to the depth filter with depth filtering strategy, basing on human perception errors and platform movement margin, after multiple filtering signal to certain proportion respectively compensation to the three channel of washout algorithm to achieve the maximum reduction of signal loss, thus reducing human perception error. The classical washing algorithm and the improved …
Modulation Recognition Method Of Mixed Signal Based On Intelligent Analysis Of Cyclic Spectrum Section,
2023
China Academy of Space Technology (Xi'an), Xi'an 710100, China;
Modulation Recognition Method Of Mixed Signal Based On Intelligent Analysis Of Cyclic Spectrum Section, Yu Du, Xinquan Yang, Jianhua Zhang, Suchun Yuan, Huachao Xiao, Jingjing Yuan
Journal of System Simulation
Abstract: Aiming at the problems of low intelligence and poor adaptability for the existing mixed signal recognition methods, an intelligent recognition method based on cyclic spectral cross section and deep learning is proposed. For common mixed communication signals, the characteristics of zero frequency cross section of cyclic spectrum are theoretically deduced and analyzed. Two new pre-processing methods, nonlinear segmental mapping and directional pseudo-clustering are proposed, which can effectively improve the adaptability and consistency of cross section features. The pre-processed feature graph is combined with the residual network (ResNet), and the deep learning network is used to mine and analyze the …
Short-Time Human Activity Recognition Based On Wavelet Features Matching,
2023
1.The University Key Laboratory of Intelligent Perception and Computing of Anhui Province, Anqing Normal University, Anqing 246133, China;2.School of Mathematics and Computer, Tongling University, Tongling 244061, China;
Short-Time Human Activity Recognition Based On Wavelet Features Matching, Benyue Su, Li Zhang, Qingxuan He, Min Sheng
Journal of System Simulation
Abstract: The selection of features is the key problem in the study of human activity recognition. In order to obtain sufficient and stable behavioral features, long-time behavioral data that exceed one behavior cycle are often processed, while short-time behavioral data with less than one behavioral cycle are usually unstable, making it difficult to achieve accurate and stable identification. This paper proposes a short-time human activity recognition method based on the combination of wavelet transform and template matching. Coefficient features are extracted using wavelet transform method. The features of the short-time test samples are matched with the features in the template …
Scheduling Optimization Of Aluminum Extrusion Production Line Based On Timed Petri Net And Bso Algorithm,
2023
1.School of Automation and Information Engineering, Xi'an University of Technology, Xi'an 710048, China;2.Shaanxi Province Key Laboratory of Complex System Control and Intelligent Information Processing, Xi'an 710048, China;
Scheduling Optimization Of Aluminum Extrusion Production Line Based On Timed Petri Net And Bso Algorithm, Yali Wu, Shuting He, Yanxi Yang, Lianqiang Feng, Fuqiang Wang, Yulu Chen
Journal of System Simulation
Abstract: For the problems of long production period and low efficiency caused by the complicated processes and large scheduling capacity of aluminum extrusion production line in industrial production, a timed Petri net (TdPN) scheduling model of aluminum extrusion production line is proposed and analyzed for reasonableness. The brain storm optimization (BSO) algorithm is introduced into the model, and an optimized scheduling algorithm for aluminum extrusion scheduling problems is proposed based on the individual encoding and decoding methods. The simulated annealing local search mechanism is used to improve the performance of BSO algorithm in the later stage, which can achieve the …
A Multi-Resolution Simulation Modeling Method,
2023
1.War Studies Institute, The Academy of Military Science, Beijing 100091, China;
A Multi-Resolution Simulation Modeling Method, Zhaopeng Liu, Xinhai Xu, Bowen Yuan, Jinlu Zhang
Journal of System Simulation
Abstract: Aiming at the resolution gap between the operation task issued by the high-level commanders and the simulation system model instructions in the human-in-the-loop simulation deduction, a multi-resolution modeling method based on behavior tree is proposed. By improving the behavior tree syntax, the low-resolution combat missions are disaggregated into high-resolution simulation system instructions. By designing a decision model embedded in the behavior tree, the problem of resource uncertainty and execution effect uncertainty faced in the execution of model instructions is solved. A combat scenario for seizing air supremacy is designed to verify the effectiveness of the method.
A Path Planning Framework For Multi-Agent Robotic Systems Based On Multivariate Skew-Normal Distributions,
2023
Marshall University
A Path Planning Framework For Multi-Agent Robotic Systems Based On Multivariate Skew-Normal Distributions, Peter Estephan
Theses, Dissertations and Capstones
This thesis presents a path planning framework for a very-large-scale robotic (VLSR) system in an known obstacle environment, where the time-varying distributions of agents are applied to represent the multi-agent robotic system (MARS). A novel family of the multivariate skew-normal (MVSN) distributions is proposed based on the Bernoulli random field (BRF) referred to as the Bernoulli-random-field based skew-normal (BRF-SN) distribution. The proposed distributions are applied to model the agents’ distributions in an obstacle-deployed environment, where the obstacle effect is represented by a skew function and separated from the no-obstacle agents’ distributions. First, the obstacle layout is represented by a Hilbert …
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 …
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 …
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 …
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, …
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: …
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 …
Long-Term Resilience Simulation On Low-Carbon Urban Grid Based On Evolutionary Game,
2022
1.Department of Electrical Engineering, Tsinghua University, Beijing 100084, China;
Long-Term Resilience Simulation On Low-Carbon Urban Grid Based On Evolutionary Game, Zhengda Cui, Weiqiang Yao, Qin Xu, Chen Fang, Ying Chen
Journal of System Simulation
Abstract: Because of the more frequent extreme disasters, the resilience of urban grid becomes more important. In the background of carbon neutralization policy, the decarbonization transition of urban grid also affects the development of grid resilience. An evolutionary game is used to simulate the resilience evolution of low-carbon urban grid and the evolution model is constructed. The decision to install photovoltaic and energy storage system for residents and to upgrade the grid for resilience is considered in the model and the stability conditions of equilibriums of the evolutionary game are analyzed. The resilience evolution simulation model considering disaster stochasticity is …
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 …
