In order to carry out comprehensive decision-making of multi-class shared parking measures within a region, a bilevel model assisting decision-making is proposed. The upper level selects parkers＇ average satisfaction...In order to carry out comprehensive decision-making of multi-class shared parking measures within a region, a bilevel model assisting decision-making is proposed. The upper level selects parkers＇ average satisfaction and the violation rate during peak hours as indices in object function, and sets probability distribution models describing dynamic parking demand of each site, the feasibility of shared parking scenarios and occupancy requirements during peak hours of each parking lot as restrictions. The simulation model in the lower level sets up rules to assign each parker in the random parking demand series to the proper parking lot. An iterative method is proposed to confirm the state of each parking lot at the start of formal simulations. Besides, two patterns linking initialization and formal simulation are presented to acquire multiple solutions. The results of the numerical examples indicate the effectiveness of the model and solution methods.展开更多
In military service joint operations, when there are more operational forces, more multifarious materials are consumed, the support is more complex and fuzzy, the deployment of personnel is more rapid, and the support...In military service joint operations, when there are more operational forces, more multifarious materials are consumed, the support is more complex and fuzzy, the deployment of personnel is more rapid, and the support provided by wartime military material support powers can be more effective. When the principles,requirements, influencing factors and goals of military material support forces are deployed in wartime, an evaluation indicator system is established. Thus, a new combined empowerment method based on an analytic hierarchy process（AHP） is developed to calculate the subjective weights, and the rough entropy method is used to calculate the objective weights. Combination weights can be obtained by calculating the weight preference coefficient error, which is determined by combining the cooperative game method and the minimum deviation into objectives. This approach can determine the grey relation projection coefficient and synthesize the measure scheme superiority to finally optimize the deployment plan using the grey relation projection decision-making method. The results show that the method is feasible and effective;it can provide a more scientific and practical decision-making basis for the military material support power deployment in wartime.展开更多
Collision avoidance decision-making models of multiple agents in virtual driving environment are studied. Based on the behavioral characteristics and hierarchical structure of the collision avoidance decision-making i...Collision avoidance decision-making models of multiple agents in virtual driving environment are studied. Based on the behavioral characteristics and hierarchical structure of the collision avoidance decision-making in real life driving, delphi approach and mathematical statistics method are introduced to construct pair-wise comparison judgment matrix of collision avoidance decision choices to each collision situation. Analytic hierarchy process （AHP） is adopted to establish the agents＇ collision avoidance decision-making model. To simulate drivers＇ characteristics, driver factors are added to categorize driving modes into impatient mode, normal mode, and the cautious mode. The results show that this model can simulate human＇s thinking process, and the agents in the virtual environment can deal with collision situations and make decisions to avoid collisions without intervention. The model can also reflect diversity and uncertainly of real life driving behaviors, and solves the multi-objective, multi-choice ranking priority problem in multi-vehicle collision scenarios. This collision avoidance model of multi-agents model is feasible and effective, and can provide richer and closer-to-life virtual scene for driving simulator, reflecting real-life traffic environment more truly, this model can also promote the practicality of driving simulator.展开更多
Upper-lower computer mode is the main architecture design of the amphibious combat simulation system(ACSS)at present.Through continuous improvement of real-time performance,software and hardware infrastructure,the exp...Upper-lower computer mode is the main architecture design of the amphibious combat simulation system(ACSS)at present.Through continuous improvement of real-time performance,software and hardware infrastructure,the exponential growth of operational network data scale is realized,but the availability performance of ACSS declines.The reliability of the working host as the key node has become the bottleneck of the overall availability of network nodes in the ACSS.To optimize the network node architecture of ACSS,this paper presents an effective optimization solution by designing the dual redundancy warm-standby module of the mission computer and I/O port,the algorithm of selecting output path of the mission computer in network nodes,the decision-making algorithm upon the on-duty host and output,and the video output decision-making algorithm upon the upper host.Lastly,the complete process of operational data from the input to output and the opposite is implemented well to guarantee the overall availability of network nodes in the ACSS.It has great advantages of wide applicability,strong reliability and high real-time switching speed.展开更多
Predictive control has recently received much attention from researchers. However a challenging problem to be solved is how to tune the parameters of the predictive controller. So far, only few guidelines related to t...Predictive control has recently received much attention from researchers. However a challenging problem to be solved is how to tune the parameters of the predictive controller. So far, only few guidelines related to tuning of the parameters of predictive controllers have been provided in literature. In practice, these parameters are generally off-line determined by the designers' experience. From the point of view of process control, it is difficult to find out the optimal parameters for the control system based on a single quadratic performance index, which is used in the standard predictive control algorithm. The fuzzy decision-making function is investigated in this paper. Firstly, M control actions are achieved by unconstrained predictive control algorithm, and fuzzy goals and fuzzy constraints are then calculated and the global satisfaction degree is obtained by fuzzy inference. Moreover, the weighting coefficient λ in the cost function is tuned using simulation optimization according to the fuzzy criteria.展开更多
This literature review primarily aims to explore and synthesise the previous studies in simulation education research conducted over the past five years related to the effects of simulation training on the self-effica...This literature review primarily aims to explore and synthesise the previous studies in simulation education research conducted over the past five years related to the effects of simulation training on the self-efficacy of undergraduate pre-registration nursing students. The second aim of this study is to explore additional outcome variables that were examined in the previous studies. Five electronic databases were searched systematically. These databases were MEDLINE, CINAHL Plus, Scopus, Embase and PsycINFO. The PICO model was employed to identify the search terms, with a thesaurus being used to provide synonyms. Reference lists of relevant articles were examined and hand searches of journals were also undertaken. The quality of each study was assessed using the Simulation Research Rubric (SRR). A total of 11 studies were included. All studies explored the impact of simulation education on undergraduate pre-registration nursing. Six studies explored nursing students’ competence and performance and two papers examined their critical thinking. Problem solving, learning motivation, communication skills and knowledge acquisition were examined once. The majority of studies indicated that simulation training has a positive impact on pre-registration nursing students’ self-efficacy and other outcome variables. Furthermore, the study results indicate that simulation training is more dependable than traditional training, and students were extremely satisfied with the simulation training. However, most of the studies included in this review had several gaps, including study design, sample size and dissimilarities between the scales used. Further research with large samples, reliable and valid instruments, and outcomes measures (such as critical thinking and transferability of skills) is required to provide better insight into the effectiveness of simulation in undergraduate nursing education. .展开更多
In the 21st century,as algorithmic hegemony reconfigures global security architectures,war gaming methodologies have been strategically reconstituted through national security frameworks.These encompass military simul...In the 21st century,as algorithmic hegemony reconfigures global security architectures,war gaming methodologies have been strategically reconstituted through national security frameworks.These encompass military simulation training,gamified military exercises,and virtual reality battlefield projections.Against the backdrop of intensifying global security crises,postcolonial resurgence,and accelerated technological innovation,this study employs national security theory to analyze the multifaceted roles of Western war gaming in advancing military-technological innovation,disseminating strategic cultural paradigms,and reshaping public consciousness.Through empirical case studies,it investigates how such practices generate novel forms of strategic deterrence while critically assessing their implications for the evolving global security landscape.展开更多
航空领域常进行电子对抗仿真,为获得更高的仿真置信度,一个分布式、高效、兼容性好、能应对复杂场景仿真的系统很有必要;通过对Simulink进行研究,提出一种既能解决HLA(high level architecture)架构下模型兼容性问题,还能保证模型运行...航空领域常进行电子对抗仿真,为获得更高的仿真置信度,一个分布式、高效、兼容性好、能应对复杂场景仿真的系统很有必要;通过对Simulink进行研究,提出一种既能解决HLA(high level architecture)架构下模型兼容性问题,还能保证模型运行效率的分布式仿真系统创建方法;该方法利用M语言脚本实例化Simulink模型,动态适配想定场景,并在RTW(real time workshop)的帮助下将模型编译为可执行程序,在MTC(main time control)统一调度下完成时间同步和仿真推进;最后,通过红蓝电子对抗想定场景仿真,进一步验证了按此方法搭建的仿真系统是可信的,基于该系统构建作战需求仿真平台的想法是可行的。展开更多
To build towards expertise, one has to accept to modify his way of practicing, including： （1） a need to reflect on and about the action; （2） a continuous concern about our competence to practice; （3） tireless e...To build towards expertise, one has to accept to modify his way of practicing, including： （1） a need to reflect on and about the action; （2） a continuous concern about our competence to practice; （3） tireless effort to combine metacognition and mental practice in a trans-disciplinary approach; （4） adding research with neuroscience, understanding neuroplasticity, modulation and artificial intelligence. Usual practice actually does not include a continuous concern for CME （continued medical education） and is intermittent at best. This new paradigm constitutes the basis of our approach. Expertise starting in 2015 is described as an asymptotic curve unable to be obtained with usual practice and intermittent education. We suggest a new way of conceiving CME combining practice, reflection on action and in-situ simulation laboratory near work. We are describing TEE （technology-enhanced education） coupled with certain neuro-enhancers to achieve a break in the asymptotic curve of expertise. This is in reality a new conception of CME in medicine.展开更多
Business war games are strategic management exercises that bring the military scenario simulation to a commercial setting, helping business managers to better understand the environment in which they operate and antic...Business war games are strategic management exercises that bring the military scenario simulation to a commercial setting, helping business managers to better understand the environment in which they operate and anticipate scenarios, such as competition movements, new product launching and production capacity planning, among others. These exercises normally take place with players organized in teams, gathered in a room, with a static package of information provided beforehand. In this paper we present an alternative, dynamic way of playing a business war game, with players geographically dispersed, and information dynamically available as it is available from its sources. We introduce BigPicture, an analytical platform with unique features that allow it to be an ideal “playground” for conducting more realistic business war games.展开更多
Flood is one of the major challenges facing human societies.Adapting to future flood risks involves deep uncertainty,especially when long-term projections of climate change are considered.This study proposed a Two-sta...Flood is one of the major challenges facing human societies.Adapting to future flood risks involves deep uncertainty,especially when long-term projections of climate change are considered.This study proposed a Two-stage Robust Decision Making(2S-RDM)framework to help devise flexible and robust strategies capable of addressing the inherent deep uncertainty associated with managing flood risks.Taking the Yangtze River Basin in China as a case study,we simulated flood risks across∼0.6 million scenarios until 2050.This analysis considered four types of uncertain factors,i.e.,future climate change,socio-economic growth,industrial structure transformation,and population aging.We then examined the effectiveness of four adaptation measures and their combinations,i.e.building elevation,tunnel construction,people relocation,and river basin conservation.Our projections show that without immediate adaptation,an estimated 0.9 to 27.3 million people will be impacted by floods until 2050,accompanied with$33.8 to$198.5 billion economic losses in the entire basin.When defining the goal as limiting the affected population<0.05%and ensuring economic losses<0.02%,we identified 24 global robust strategies capable of meeting this criterion in>80%of scenarios.Then,we compared the 24 global robust strategies regarding their relative costs and performances in each of the future scenario pools.The final recommended solutions are hybrid strategies that integrate engineering-based measures with‘soft’adaptation options(e.g.Elevation++,Tunnel++,and Relocation).This study provides tools to design flood adaptation strategies not only robust across diverse scenarios but also flexible for decision-makers to customize and refine their strategies based on specific needs.展开更多
基金The Planning Program of Science and Technology of Ministry of Housing and Urban-Rural Development of China (No. 2010-K5-16)
文摘In order to carry out comprehensive decision-making of multi-class shared parking measures within a region, a bilevel model assisting decision-making is proposed. The upper level selects parkers＇ average satisfaction and the violation rate during peak hours as indices in object function, and sets probability distribution models describing dynamic parking demand of each site, the feasibility of shared parking scenarios and occupancy requirements during peak hours of each parking lot as restrictions. The simulation model in the lower level sets up rules to assign each parker in the random parking demand series to the proper parking lot. An iterative method is proposed to confirm the state of each parking lot at the start of formal simulations. Besides, two patterns linking initialization and formal simulation are presented to acquire multiple solutions. The results of the numerical examples indicate the effectiveness of the model and solution methods.
基金supported by the Education Science Fund of the Military Science Institute of Beijing,China(2015JY320)
文摘In military service joint operations, when there are more operational forces, more multifarious materials are consumed, the support is more complex and fuzzy, the deployment of personnel is more rapid, and the support provided by wartime military material support powers can be more effective. When the principles,requirements, influencing factors and goals of military material support forces are deployed in wartime, an evaluation indicator system is established. Thus, a new combined empowerment method based on an analytic hierarchy process（AHP） is developed to calculate the subjective weights, and the rough entropy method is used to calculate the objective weights. Combination weights can be obtained by calculating the weight preference coefficient error, which is determined by combining the cooperative game method and the minimum deviation into objectives. This approach can determine the grey relation projection coefficient and synthesize the measure scheme superiority to finally optimize the deployment plan using the grey relation projection decision-making method. The results show that the method is feasible and effective;it can provide a more scientific and practical decision-making basis for the military material support power deployment in wartime.
基金supported by National Basic Research Program (973 Program,No.2004CB719402)National Natural Science Foundation of China (No.60736019)Natural Science Foundation of Zhejiang Province, China(No.Y105430).
文摘Collision avoidance decision-making models of multiple agents in virtual driving environment are studied. Based on the behavioral characteristics and hierarchical structure of the collision avoidance decision-making in real life driving, delphi approach and mathematical statistics method are introduced to construct pair-wise comparison judgment matrix of collision avoidance decision choices to each collision situation. Analytic hierarchy process （AHP） is adopted to establish the agents＇ collision avoidance decision-making model. To simulate drivers＇ characteristics, driver factors are added to categorize driving modes into impatient mode, normal mode, and the cautious mode. The results show that this model can simulate human＇s thinking process, and the agents in the virtual environment can deal with collision situations and make decisions to avoid collisions without intervention. The model can also reflect diversity and uncertainly of real life driving behaviors, and solves the multi-objective, multi-choice ranking priority problem in multi-vehicle collision scenarios. This collision avoidance model of multi-agents model is feasible and effective, and can provide richer and closer-to-life virtual scene for driving simulator, reflecting real-life traffic environment more truly, this model can also promote the practicality of driving simulator.
基金Supported by the National Natural Science Foundation of China(61401496)
文摘Upper-lower computer mode is the main architecture design of the amphibious combat simulation system(ACSS)at present.Through continuous improvement of real-time performance,software and hardware infrastructure,the exponential growth of operational network data scale is realized,but the availability performance of ACSS declines.The reliability of the working host as the key node has become the bottleneck of the overall availability of network nodes in the ACSS.To optimize the network node architecture of ACSS,this paper presents an effective optimization solution by designing the dual redundancy warm-standby module of the mission computer and I/O port,the algorithm of selecting output path of the mission computer in network nodes,the decision-making algorithm upon the on-duty host and output,and the video output decision-making algorithm upon the upper host.Lastly,the complete process of operational data from the input to output and the opposite is implemented well to guarantee the overall availability of network nodes in the ACSS.It has great advantages of wide applicability,strong reliability and high real-time switching speed.
文摘Predictive control has recently received much attention from researchers. However a challenging problem to be solved is how to tune the parameters of the predictive controller. So far, only few guidelines related to tuning of the parameters of predictive controllers have been provided in literature. In practice, these parameters are generally off-line determined by the designers' experience. From the point of view of process control, it is difficult to find out the optimal parameters for the control system based on a single quadratic performance index, which is used in the standard predictive control algorithm. The fuzzy decision-making function is investigated in this paper. Firstly, M control actions are achieved by unconstrained predictive control algorithm, and fuzzy goals and fuzzy constraints are then calculated and the global satisfaction degree is obtained by fuzzy inference. Moreover, the weighting coefficient λ in the cost function is tuned using simulation optimization according to the fuzzy criteria.
文摘This literature review primarily aims to explore and synthesise the previous studies in simulation education research conducted over the past five years related to the effects of simulation training on the self-efficacy of undergraduate pre-registration nursing students. The second aim of this study is to explore additional outcome variables that were examined in the previous studies. Five electronic databases were searched systematically. These databases were MEDLINE, CINAHL Plus, Scopus, Embase and PsycINFO. The PICO model was employed to identify the search terms, with a thesaurus being used to provide synonyms. Reference lists of relevant articles were examined and hand searches of journals were also undertaken. The quality of each study was assessed using the Simulation Research Rubric (SRR). A total of 11 studies were included. All studies explored the impact of simulation education on undergraduate pre-registration nursing. Six studies explored nursing students’ competence and performance and two papers examined their critical thinking. Problem solving, learning motivation, communication skills and knowledge acquisition were examined once. The majority of studies indicated that simulation training has a positive impact on pre-registration nursing students’ self-efficacy and other outcome variables. Furthermore, the study results indicate that simulation training is more dependable than traditional training, and students were extremely satisfied with the simulation training. However, most of the studies included in this review had several gaps, including study design, sample size and dissimilarities between the scales used. Further research with large samples, reliable and valid instruments, and outcomes measures (such as critical thinking and transferability of skills) is required to provide better insight into the effectiveness of simulation in undergraduate nursing education. .
基金Funded by Hunan Provincial College Students Innovation Project(S202490002265).
文摘In the 21st century,as algorithmic hegemony reconfigures global security architectures,war gaming methodologies have been strategically reconstituted through national security frameworks.These encompass military simulation training,gamified military exercises,and virtual reality battlefield projections.Against the backdrop of intensifying global security crises,postcolonial resurgence,and accelerated technological innovation,this study employs national security theory to analyze the multifaceted roles of Western war gaming in advancing military-technological innovation,disseminating strategic cultural paradigms,and reshaping public consciousness.Through empirical case studies,it investigates how such practices generate novel forms of strategic deterrence while critically assessing their implications for the evolving global security landscape.
文摘航空领域常进行电子对抗仿真,为获得更高的仿真置信度,一个分布式、高效、兼容性好、能应对复杂场景仿真的系统很有必要;通过对Simulink进行研究,提出一种既能解决HLA(high level architecture)架构下模型兼容性问题,还能保证模型运行效率的分布式仿真系统创建方法;该方法利用M语言脚本实例化Simulink模型,动态适配想定场景,并在RTW(real time workshop)的帮助下将模型编译为可执行程序,在MTC(main time control)统一调度下完成时间同步和仿真推进;最后,通过红蓝电子对抗想定场景仿真,进一步验证了按此方法搭建的仿真系统是可信的,基于该系统构建作战需求仿真平台的想法是可行的。
文摘To build towards expertise, one has to accept to modify his way of practicing, including： （1） a need to reflect on and about the action; （2） a continuous concern about our competence to practice; （3） tireless effort to combine metacognition and mental practice in a trans-disciplinary approach; （4） adding research with neuroscience, understanding neuroplasticity, modulation and artificial intelligence. Usual practice actually does not include a continuous concern for CME （continued medical education） and is intermittent at best. This new paradigm constitutes the basis of our approach. Expertise starting in 2015 is described as an asymptotic curve unable to be obtained with usual practice and intermittent education. We suggest a new way of conceiving CME combining practice, reflection on action and in-situ simulation laboratory near work. We are describing TEE （technology-enhanced education） coupled with certain neuro-enhancers to achieve a break in the asymptotic curve of expertise. This is in reality a new conception of CME in medicine.
基金partially supported by the QREN/PO Alentejo program,under project number ALENT-07-0202-FEDER-022850.
文摘Business war games are strategic management exercises that bring the military scenario simulation to a commercial setting, helping business managers to better understand the environment in which they operate and anticipate scenarios, such as competition movements, new product launching and production capacity planning, among others. These exercises normally take place with players organized in teams, gathered in a room, with a static package of information provided beforehand. In this paper we present an alternative, dynamic way of playing a business war game, with players geographically dispersed, and information dynamically available as it is available from its sources. We introduce BigPicture, an analytical platform with unique features that allow it to be an ideal “playground” for conducting more realistic business war games.
基金supported by The National Natural Science Foundation of China(72304136,71921003,72234003,72222012)National Postdoctoral Program for Innovative Talents(BX20230159)Jiangsu R&D Special Fund for Carbon Peaking and Carbon Neutrality(BK20220014).
文摘Flood is one of the major challenges facing human societies.Adapting to future flood risks involves deep uncertainty,especially when long-term projections of climate change are considered.This study proposed a Two-stage Robust Decision Making(2S-RDM)framework to help devise flexible and robust strategies capable of addressing the inherent deep uncertainty associated with managing flood risks.Taking the Yangtze River Basin in China as a case study,we simulated flood risks across∼0.6 million scenarios until 2050.This analysis considered four types of uncertain factors,i.e.,future climate change,socio-economic growth,industrial structure transformation,and population aging.We then examined the effectiveness of four adaptation measures and their combinations,i.e.building elevation,tunnel construction,people relocation,and river basin conservation.Our projections show that without immediate adaptation,an estimated 0.9 to 27.3 million people will be impacted by floods until 2050,accompanied with$33.8 to$198.5 billion economic losses in the entire basin.When defining the goal as limiting the affected population<0.05%and ensuring economic losses<0.02%,we identified 24 global robust strategies capable of meeting this criterion in>80%of scenarios.Then,we compared the 24 global robust strategies regarding their relative costs and performances in each of the future scenario pools.The final recommended solutions are hybrid strategies that integrate engineering-based measures with‘soft’adaptation options(e.g.Elevation++,Tunnel++,and Relocation).This study provides tools to design flood adaptation strategies not only robust across diverse scenarios but also flexible for decision-makers to customize and refine their strategies based on specific needs.
