Spatial Structure Optimization Of Natural Forest Based On Bee Colony-Particle Swarm Algorithm,
2020
1. Central South University of Forestry and Technology, Changsha 41000, China;;2. Hunan Applied Technology University, Changde 415000, China;
Spatial Structure Optimization Of Natural Forest Based On Bee Colony-Particle Swarm Algorithm, Dongsheng Qing, Xiaofang Zhang, Jianjun Li, Guo Rui, Qiaoling Deng
Journal of System Simulation
Abstract: The natural forest spatial structure contains the spatial location information of the forest, which affects the growth, competition and stability of the forest development. Its optimization is a multi-objective programming problem. A bee colony particle swarm optimization (ABC-PSO) hybrid algorithm is proposed, which improves the initial particle generation mechanism, the number of follow bees and the circulation mechanism. The algorithm is applied to the multi-objective optimization of the spatial structure of natural forest. An optimization model which takes account of the tree distribution grid, tree size segmentation and tree competition is established. The simulation results show that the bee …
An Estimation Of Distribution Algorithm Based On Multiple Elites Sampling And Individuals Differential Search,
2020
1. Min Nan Normal University, School of Physics and Information Engineering, Zhangzhou 363000, China;;
An Estimation Of Distribution Algorithm Based On Multiple Elites Sampling And Individuals Differential Search, Yu Fei, Ruifeng Wu, Wei Bo, Yinglong Zhang, Xuewen Xia
Journal of System Simulation
Abstract: An estimation distribution algorithm based on the multiple elites sampling and the individuals differential search (EDA-M/D) is proposed. In EDA-M/D, the elites carry out the sampling to generate the offspring independently and enhance the exploration. Meanwhile, the variance of the population distributionis selected to control the sampling radius. Thus, the target of the population can be gradually transited from exploration to exploitation. If the elite population stagnates, the nonentities will choose the mean value of the elites distribution μ and the population historical best solution as the two exemplars to execute a differential search operator, and then help the …
Multi-Uav 3d Formation Path Planning Based On Improved Artificial Potential Field,
2020
1. Southwest Petroleum University, Nanchong 637001, China;;2. School of Electrical Engineering and Information, Southwest Petroleum University, Chengdu 610500, China;
Multi-Uav 3d Formation Path Planning Based On Improved Artificial Potential Field, Haiyun Chen, Huazhou Chen, Liu Qiang
Journal of System Simulation
Abstract: Focusing on the GNRON (goal nonreachable with obstacles nearby), the local minima and chattering of the traditional artificial potential field method, the potential field functions are improved and analyzed to guarantee the goal is the global minimum. In the dynamic potential field, a mechanism of judging whether to fall into local minima is introduced, a method of “moving along the orientation of 90° of goal direction” is used to jump out of the local minima, and the path planning of multi-UAV formation, the synergistic obstacle avoidance and collision prevention are achieved. The path is optimized by applying the regression …
Simulation Analysis On Flexible Track Drilling Machine Based On Adams,
2020
School of Mechanical and Precision Instrument Engineering, Xi'an University of Technology, Xi'an 710048, China;
Simulation Analysis On Flexible Track Drilling Machine Based On Adams, Yanchao Zhang, Ting Wang, Danlong Song
Journal of System Simulation
Abstract: The three-dimensional model of the flexible track drilling machine is designed by the virtual prototyping technology. The model is imported into ADAMS (Automatic Dynamic Analysis of Mechanical Systems) software to carry out the kinematics and dynamic simulation analysis of its virtual prototype, and the rationality and feasibility of the system design are evaluated. Through the comparative analysis, the reasonable driving velocity and acceleration parameters of the hole making system are given. According to the analysis of the dynamic characteristics of the systems, the asymmetric driving problems in the system are found and the corresponding improvement scheme is put forward. …
Speech Control Scheme Design And Simulation For Uav Based On Hmm And Rnn,
2020
Department of Aeronautics and Astronautics, Fudan University, Shanghai 200433, China;
Speech Control Scheme Design And Simulation For Uav Based On Hmm And Rnn, Zhou Nan, Jianliang Ai
Journal of System Simulation
Abstract: In order to simplify the operation and avoid the misoperation of UAVs, Based on Hidden Markov Model and Recurrent Neural Networks, a speech control scheme for UAVs is designed. In this scheme, HMM is used to train and recognize the speech command samples of UAVs. HMM is used to pick out the error commands, RNN is used to train the sets of UAVs commands, and the next command based on the training result is predicted. It is determined whether to execute or not by calculating the correlation between commands recognized by HMM and predicted by RNN. The simulation results …
Model Of Initial Spare Parts Configuration And Ordering Policy Optimization Based On Inventory State,
2020
1. College of Naval Architecture and Ocean Engineering, Naval University of Engineering, Wuhan 430033, China;
Model Of Initial Spare Parts Configuration And Ordering Policy Optimization Based On Inventory State, Songshi Shao, Minzhi Ruan, Zhihua Zhang
Journal of System Simulation
Abstract: Rational planning of spare parts configuration project is an effective approach to improve the equipment availability and reduce the life cycle cost (LCC). First of all, the spare parts demand rate forecast model is constructed. According to the systemic analysis method, the spare parts support effectiveness evaluation targets system is built, and then, the initial spare parts configuration optimization method is researched. Aim to the consumption for partial repairable spare parts, the expected backorders function of the approximate Laplace demand distribution is given. Combining the (s-1, s) and (R, Q) inventory policy, the ordering model is established under the …
Analysis Of Aeroengine Vibration Signal,
2020
1. College of General Aviation, Civil Aviation University of China, Tianjin 300300, China;;
Analysis Of Aeroengine Vibration Signal, Pi Jun, Jiaze Chang, Guangcai Liu
Journal of System Simulation
Abstract: Aiming at the analysis of the vibration characteristics of aeroengine rotor, an improved blind source separation algorithm based on cumulant independent component analysis (ICA) is proposed. The new algorithm is used to separate the rotor vibration signal and identify the rotor fault types. The effectiveness of this algorithm is verified by the aeroengine rotor vibration signal simulation. Comparing with the existing algorithms based on second-order cumulants and high-order cumulants, the new method improves the performance index and the signal similarity coefficient. This algorithm is used to separate the vibration signal collected by the engine rotor platform and the rotor …
Research On Building Mechanism Model Simulation In Energy-Saving Control,
2020
1. College of Information Engineering, Shenyang University of Chemical Technology, Shenyang 110142, China;;2. Liaoning Mechatronics College, Dandong 118009, China;
Research On Building Mechanism Model Simulation In Energy-Saving Control, Bai Yang, Decheng Yuan, Li Ling
Journal of System Simulation
Abstract: In the existing building system, the energy consumption is huge, the control system is complex, and the electricity cost is high. In order to reduce the cost of electricity, the mechanism model of the building is established for simulation. The accuracy of the model is verified by simulation to confirm the model applicability to the building system. Comparing the constant electricity price with the time-varying electricity price, the system under the model predictive control can response to the price change of electricity with time and can achieve the cost control and energy-saving.
Research On Emergency Risk Decision Simulation Based On Multi-Agent And Prospect Theory,
2020
1. School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan 430074, China;;2. Key Laboratory for Image Information Processing and Intelligent controlling of Ministry of Education, Wuhan 430074, China;
Research On Emergency Risk Decision Simulation Based On Multi-Agent And Prospect Theory, Wang Jian, Chenqi Situ, Shengqiang Yuan
Journal of System Simulation
Abstract: Focusing on the modeling and the simulation of emergency response risk decision that multi-sections involve in, a simulation model and simulation framework based on multi-agent and prospect theory are proposed. By introducing agent theory, the multi-agent architecture model of emergency risk decision is described and the decision agent are modelled. By introducing prospect theory, following the dynamic evolution of emergencies, the impact of the psychological changes of the decision-makers have on the decision results is studied. The multi-agent emergency risk decision simulation framework is designed and implemented. Taking the risk decision of a fire emergency in the petrochemical plants …
Rapid Simulation And Volume Rendering Of Electromagnetic Environment Based On Geographic Coordinate System,
2020
1. Zhengzhou University Industrial Technology Research Institute, Zhengzhou 450001, China;;2. Zhengzhou Normal University School of geography and Tourism, Zhengzhou 450044, China;
Rapid Simulation And Volume Rendering Of Electromagnetic Environment Based On Geographic Coordinate System, Yuguo Wu, Beibei Han
Journal of System Simulation
Abstract: Considering the earth's curvature, the spherical regular grid model is used to organize the electromagnetic field data. In order to reduce computational complexity of ITM model, the terrain reuse is proposed to improve the efficiency of the simulation. The Multithread and the terrain reuse are combined to improve the efficiency of the multi-radiation source. Considering that the traditional ray casting algorithm which takes the cube model as the bounding box cannot draw spherical regular grid data directly, a ray casting algorithm which uses the dome model as the bounding box is proposed. Experiments show that even considering the influence …
Research Of Link Acquisition Technology For Virtual-Reality Network,
2020
1. School of Digital Media Institute, Jiangnan University, Wuxi 214122, China;;
Research Of Link Acquisition Technology For Virtual-Reality Network, Liu Yuan, Xingbing Feng, Xiaofeng Wang, Zhaohong Deng
Journal of System Simulation
Abstract: Network simulation is an important foundation for the cyberspace shooting range, where the data acquisition and evaluation for the emulation network is its key link. Based on the emulation network formed by OpenStack, a distributed link data acquisition system for the diversified emulation links is constructed. The paper studies the collaborative acquisition technology and the efficient link data acquisition technology of 3 kinds of links, such as the virtual link in the host, the virtual link between the host and the virtual-reality link, and the evaluation technology based on the link data. Experiments show that the proposed method improves …
Anti-Dead-Zone Control For Two Flexible Links Space Robot With Integration Of Motion And Vibration,
2020
1. School of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350108, China;;
Anti-Dead-Zone Control For Two Flexible Links Space Robot With Integration Of Motion And Vibration, Xiaoqin Huang, Chen Li
Journal of System Simulation
Abstract: The angle tracking and flexible vibration suppression integrated control for the two flexible links free-floating space robot with joint torque output dead-zone and external disturbance are discussed. The hybrid trajectory concept with rigid motion and flexible mode is introduced, and an adaptive control scheme of the integral sliding mode neural network based on the integration of motion and vibration is proposed. In case the slope and boundary of dead-zone is uncertain and the upper kind of the optimal approximation error is unknown, the compensation term of the scheme can eliminate the effect, and ensures the robustness of the rigid …
A Game Cheating Detection System Based On Petri Nets,
2020
1. East China University of Science and Technology, Shanghai 200237, China;;
A Game Cheating Detection System Based On Petri Nets, Zheng Hong, Ye Cheng, Wenxuan Deng, Pan Li
Journal of System Simulation
Abstract: Game cheating endangers the normal cyber game seriously. The bottlenecks of the anti-cheating technology are the low efficiency and its too much dependence on the signature matching. Not relying on the signature matching, a highly efficient game cheating detection system is proposed, which models by process trees. This can save the storage space without affecting the detection results. The system is tested with the cheating softwares on the popular cyber game and the fusion efficiency of the update model is evaluated. The results show that the storage space reduction rate can reach about 60%, which means effectiveness and feasibility …
Optimization Simulation Of Feeder Airport Runway Structure For Pollutant Discharge Control,
2020
1. Civil Aviation Flight University of China, Guanghan 618307, China;;
Optimization Simulation Of Feeder Airport Runway Structure For Pollutant Discharge Control, Jiang Bo, Yunfan Zhou, Chenglong Li, Zhang Hao
Journal of System Simulation
Abstract: Air pollutant discharge in the LTO (Landing and Take-off) cycle of the civil aviation transport is harmful to the ground personnel and the near-ground environment, which can be restrained primarily by reducing the ground taxi time. Considering the structure of the single-taxiway-single-runway in the common feeder airport, a method for calculating the aircraft ground taxi time is presented. Based on this method, an evaluation index of the pollutants is proposed and an assessment model of aircraft pollutants emission in feeder airport is established. Taking a feeder airport as an example, the taxiway crossing position with the smallest pollutant evaluation …
Finding Music In Chaos: Designing And Composing With Virtual Instruments Inspired By Chaotic Equations,
2020
Louisiana State University
Finding Music In Chaos: Designing And Composing With Virtual Instruments Inspired By Chaotic Equations, Landon P. Viator
LSU Doctoral Dissertations
Using chaos theory to design novel audio synthesis engines has been explored little in computer music. This could be because of the difficulty of obtaining harmonic tones or the likelihood of chaos-based synthesis engines to explode, which then requires re-instantiating of the engine to proceed with sound production. This process is not desirable when composing because of the time wasted fixing the synthesis engine instead of the composer being able to focus completely on the creative aspects of composition. One way to remedy these issues is to connect chaotic equations to individual parts of the synthesis engine instead of relying …
Pokeme: Applying Context-Driven Notifications To Increase Worker Engagement In Mobile Crowd-Sourcing,
2020
Singapore Management University
Pokeme: Applying Context-Driven Notifications To Increase Worker Engagement In Mobile Crowd-Sourcing, Thivya Kandappu, Abhinav Mehrotra, Archan Misra, Mirco Musolesi, Shih-Fen Cheng, Lakmal Buddika Meegahapola
Research Collection School Of Computing and Information Systems
In mobile crowd-sourcing systems, simply relying on people to opportunistically select and perform tasks typically leads to drawbacks such as low task acceptance/completion rates and undesirable spatial skews. In this paper, we utilize data from "Smart Campus", a campus-based mobile crowd-sourcing platform, to empirically study and discover whether and how various context-aware notification strategies can help overcome such drawbacks. We first study worker interactions, in the absence of any notifications, to discover some spatio-temporal properties of task acceptance and completion. Based on these insights, we then experimentally demonstrate the effectiveness of two novel, non-personal, context-driven notification strategies, comparing the outcomes …
Predicting Student Performance In Interactive Online Question Pools Using Mouse Interaction Features,
2020
Singapore Management University
Predicting Student Performance In Interactive Online Question Pools Using Mouse Interaction Features, Huan Wei, Haotian Li, Meng Xia, Yong Wang, Huamin Qu
Research Collection School Of Computing and Information Systems
Modeling student learning and further predicting the performance is a well-established task in online learning and is crucial to personalized education by recommending different learning resources to different students based on their needs. Interactive online question pools (e.g., educational game platforms), an important component of online education, have become increasingly popular in recent years. However, most existing work on student performance prediction targets at online learning platforms with a well-structured curriculum, predefined question order and accurate knowledge tags provided by domain experts. It remains unclear how to conduct student performance prediction in interactive online question pools without such well-organized question …
Heartquake: Accurate Low-Cost Non-Invasive Ecg Monitoring Using Bed-Mounted Geophones,
2020
Singapore Management University
Heartquake: Accurate Low-Cost Non-Invasive Ecg Monitoring Using Bed-Mounted Geophones, Jaeyeon Park, Hyeon Cho, Rajesh Krishna Balan, Jeonggil Ko
Research Collection School Of Computing and Information Systems
This work presents HeartQuake, a low cost, accurate, non-intrusive, geophone-based sensing system for extracting accurate electrocardiogram (ECG) patterns using heartbeat vibrations that penetrate through a bed mattress. In HeartQuake, cardiac activity-originated vibration patterns are captured on a geophone and sent to a server, where the data is filtered to remove the sensor's internal noise and passed on to a bidirectional long short term memory (Bi-LSTM) deep learning model for ECG waveform estimation. To the best of our knowledge, this is the first solution that can non-intrusively provide accurate ECG waveform characteristics instead of more basic abstract features such as the …
The Search For Optimal Oxygen Saturation Targets In Critically Ill: Patients Observational Data From Large Icu Databases,
2020
Yale-NUS College
The Search For Optimal Oxygen Saturation Targets In Critically Ill: Patients Observational Data From Large Icu Databases, Willem Van Den Boom, Michael Hoy, Jagadish Sankaran, Mengru Liu, Haroun Chahed, Mengling Feng, Kay Choong See
Research Collection School Of Computing and Information Systems
Background: Although low oxygen saturations are generally regarded as deleterious, recent studies in ICU patients have shown that a liberal oxygen strategy increases mortality. However, the optimal oxygen saturation target remains unclear. The goal of this study was to determine the optimal range by using real-world data. Methods: Replicate retrospective analyses were conducted of two electronic medical record databases: the eICU Collaborative Research Database (eICU-CRD) and the Medical Information Mart for Intensive Care III database (MIMIC). Only patients with at least 48 h of oxygen therapy were included. Nonlinear regression was used to analyze the association between median pulse oximetry-derived …
Demand Forecasting Of Wartime Spares Based On Evidence Theory,
2020
PLA Information and Technology University, Zhengzhou 450001, China;
Demand Forecasting Of Wartime Spares Based On Evidence Theory, Yunjing Zhang, Xinxin Wang, Wang Yang, Guangming Tang
Journal of System Simulation
Abstract: A new method based on evidence theory is proposed to solve the lack of data for the demand prediction of spares in wartime. Utilizing Markov chain model to research the rule of spares demand of peacetime from the historical data. A Markov chain transfer probability adjustment strategy, based on the change of combat intensity, is designed, which can be used to simulation the rule of spares demand in wartime. Under the experience of experts and the combination of the Fuzzy theory and evidence theory, the spares demand is wartime is forecasted. The simulation example shows that the …
