The Journal of Defense Modeling and Simulation最新文献

Experimental design on high-speed sliding wear 高速滑动磨损试验设计

The Journal of Defense Modeling and Simulation Pub Date : 2023-11-13 DOI: 10.1177/15485129231205308

Irene Liew, Raymond Hill, Anthony Palazotto, Tony Liu

引用次数: 0

Estimating attrition coefficients for the Lanchester equations from small-unit combat models 从小单位作战模型估计兰彻斯特方程的损耗系数

The Journal of Defense Modeling and Simulation Pub Date : 2023-11-09 DOI: 10.1177/15485129231210301

Vikram Mittal

{"title":"Estimating attrition coefficients for the Lanchester equations from small-unit combat models","authors":"Vikram Mittal","doi":"10.1177/15485129231210301","DOIUrl":"https://doi.org/10.1177/15485129231210301","url":null,"abstract":"The Lanchester equations are a valuable tool for analyzing attrition warfare and the impact of new technologies on the battlefield. However, uncertainties regarding the numerical values of attrition coefficients pose a challenge in accurately applying these equations. To address this, entity-based combat simulations focusing on small-unit operations can offer insights into calculating attrition coefficients and analyzing the effects of new technology on the battlefield. This study outlines the development of such entity-based simulations and the associated derivation of attrition coefficients from the results. One method involves using combat simulation to determine the combat multiplier factor associated with a new technology and multiplying the attrition coefficients accordingly. The second method involves basing the attrition coefficients solely on the results of the model. This paper explores each of these methods through two case studies, both of which use the Infantry Warrior Simulation (IWARS). The first case study examines the Battle of Mosul, analyzing the impact of drone technology on ISIS insurgents and the Iraqi army. The second case study investigates the influence of a more accurate rifle in a conflict involving rural and urban combat. It is important to note that these models provide approximations for attrition coefficients and are subject to inherent limitations. Nonetheless, they offer value by capturing the broader implications of integrating technological changes at the small-unit level.","PeriodicalId":223838,"journal":{"name":"The Journal of Defense Modeling and Simulation","volume":" 24","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135242862","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Hallucination, panic, and exhaustion in embodied cognition 具身认知中的幻觉、恐慌和疲惫

The Journal of Defense Modeling and Simulation Pub Date : 2023-11-01 DOI: 10.1177/15485129231205036

Rodrick Wallace

引用次数: 0

Quantifying the robustness of a Bayesian Belief Network in the context of Unmanned Aerial System threat prediction 量化贝叶斯信念网络在无人机系统威胁预测中的鲁棒性

The Journal of Defense Modeling and Simulation Pub Date : 2023-10-30 DOI: 10.1177/15485129231206825

Laura Middeldorp, Kerry Malone, Wouter Noordkamp

{"title":"Quantifying the robustness of a Bayesian Belief Network in the context of Unmanned Aerial System threat prediction","authors":"Laura Middeldorp, Kerry Malone, Wouter Noordkamp","doi":"10.1177/15485129231206825","DOIUrl":"https://doi.org/10.1177/15485129231206825","url":null,"abstract":"Unmanned Aerial Systems (UASs), or drones, are becoming increasingly available to the general public. Because of this, organizations active in safety and security, such as the Dutch Armed Forces and the Dutch National Police, need to be prepared for possible UAS accidents and attacks. To that end, it is vital that the nature of the possible threat that UAS may pose is detected in a timely manner. A method that can be employed for this problem is a Bayesian Belief Network (BBN). Given the observations made of a UAS and its surroundings, a BBN is capable to determine the most likely type of threat posed by the UAS. Generally, the probabilities that are required as input for this method can be estimated from historical data if enough data are available. However, since only a small amount of data about drone incidents has been collected, expert opinion is used. This introduces uncertainty in the BBN as opinions of experts are subjective. This paper presents a means to construct a BBN for UAS threat prediction when no empirical data are available and determine the robustness of the output. The analysis is restricted specifically to NATO Class I drones (less than 150 kg) in law enforcement operations.","PeriodicalId":223838,"journal":{"name":"The Journal of Defense Modeling and Simulation","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136104564","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multi-agent reinforcement learning satellite guidance for triangulation of a moving object in a relative orbit frame 多智能体强化学习卫星制导在相对轨道框架中运动目标的三角测量

The Journal of Defense Modeling and Simulation Pub Date : 2023-10-10 DOI: 10.1177/15485129231197437

Nicholas Yielding, Joseph Curro, Stephen C Cain

{"title":"Multi-agent reinforcement learning satellite guidance for triangulation of a moving object in a relative orbit frame","authors":"Nicholas Yielding, Joseph Curro, Stephen C Cain","doi":"10.1177/15485129231197437","DOIUrl":"https://doi.org/10.1177/15485129231197437","url":null,"abstract":"Multi-agent systems are of ever-increasing importance in a contested space environment—use of multiple, cooperative satellites potentially increases positive mission outcomes on orbit, while autonomy becomes an ever-increasing requirement to increase reaction time to dynamic situations and lower the burden on space operators. This research explores multi-agent satellite swarm Guidance, Navigation, and Control (GNC) using deep reinforcement learning (DRL). DRL policies are trained to provide guidance inputs to agents in multi-agent swarm environments for completing complex, teamwork-focused objectives in geosynchronous orbit. An example scenario is explored for a group of satellite agents maneuvering to triangulate an object that is non-stationary in the relative orbit frame. Reward shaping is used to encourage learning guidance that positions swarm members to maximize triangulation accuracy, using angles-only observations for navigation relative to the target. Results show the policies successfully learn guidance through reward shaping to improve triangulation accuracy by a significant factor.","PeriodicalId":223838,"journal":{"name":"The Journal of Defense Modeling and Simulation","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136358231","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

UAV search optimization for recording emerging targets with camouflaging capabilities 具有伪装能力记录新兴目标的无人机搜索优化

The Journal of Defense Modeling and Simulation Pub Date : 2023-10-10 DOI: 10.1177/15485129231203020

Adil Baran Narin, John Becker, Rajan Batta

{"title":"UAV search optimization for recording emerging targets with camouflaging capabilities","authors":"Adil Baran Narin, John Becker, Rajan Batta","doi":"10.1177/15485129231203020","DOIUrl":"https://doi.org/10.1177/15485129231203020","url":null,"abstract":"This paper extends the emerging target information gathering domain by introducing a camouflaging component, investigating the benefit of using multiple UAVs, and studying the impact of allowing re-visits. Previous work in this area addresses the UAV Orienteering Problem for target detection where targets emerge according to non-homogeneous space–time Poisson processes. Our extension considers that emerged targets will camouflage themselves to become undetectable after a period of time and nodes can be revisited. Routes for single or multiple UAVs are generated using the Team Orienteering Problem with Time Windows and evaluated using simulation. In addition, a framework is developed for comparing routes, and the value added by increasing the solving time is investigated. Our computational testing reveals increasing the number of time windows used increases the expected route value. A factorial analysis is conducted which indicates the network topology, the number of time windows used, and the coefficient of variation for camouflage time generally have significant effects on the expected number of targets detected regardless of the number of UAVs used. In addition, increasing the amount of time spent solving the problem does not always increase the number of expected target detected.","PeriodicalId":223838,"journal":{"name":"The Journal of Defense Modeling and Simulation","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136357216","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Modeling a reconnaissance operation in an urban environment using a swarm of UAVs 模拟在城市环境中使用一群无人机的侦察行动

The Journal of Defense Modeling and Simulation Pub Date : 2023-10-10 DOI: 10.1177/15485129231203706

Petr Stodola, Jan Nohel, Marian Rybanský

{"title":"Modeling a reconnaissance operation in an urban environment using a swarm of UAVs","authors":"Petr Stodola, Jan Nohel, Marian Rybanský","doi":"10.1177/15485129231203706","DOIUrl":"https://doi.org/10.1177/15485129231203706","url":null,"abstract":"Military operations are increasingly taking place in urban environments; the effective reconnaissance of such environments is critical to their success. This paper deals with modeling the reconnaissance of a built-up area using a swarm of heterogeneous cooperating unmanned aerial vehicles. The model consists of two phases. In the first, a set of waypoints is generated from which the reconnaissance of the walls and roofs of buildings and roads located in the area of intelligence responsibility is performed; the waypoints are deployed in such a manner that the comprehensive reconnaissance of all objects takes place while keeping their number as small as possible. In the second phase, the flight trajectories of the available unmanned aerial vehicles are planned with the purpose of minimizing the overall operation time; the intention is thus to load each vehicle evenly. The proposed model is validated on a set of six scenarios with varying complexity; each scenario is based on typical tactical situations. This paper is a contribution to the research being intensively conducted in the field of robotic systems for civilian and military applications.","PeriodicalId":223838,"journal":{"name":"The Journal of Defense Modeling and Simulation","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136295811","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Growth directions for the JDMS community JDMS 社区的发展方向

The Journal of Defense Modeling and Simulation Pub Date : 2023-10-01 DOI: 10.1177/15485129221096472

Harrison Schramm

引用次数: 0

Effects of datalink target data on air-to-air missile performance 数据链目标数据对空空导弹性能的影响

The Journal of Defense Modeling and Simulation Pub Date : 2023-09-27 DOI: 10.1177/15485129231200026

John Öström, Timo Sailaranta, Kai Virtanen

{"title":"Effects of datalink target data on air-to-air missile performance","authors":"John Öström, Timo Sailaranta, Kai Virtanen","doi":"10.1177/15485129231200026","DOIUrl":"https://doi.org/10.1177/15485129231200026","url":null,"abstract":"Modern air-to-air missiles rely on data updated via a datalink about the position and velocity of a target until their own seeker can lock on to the target. The quality of the datalink target data depends on the errors of position and velocity updates, delay of these updates and lost updates. This paper introduces a simulation framework for analyzing the utilization of this data. The framework consists of models describing the target, the missile, and the generation of the datalink target updates. The versatile simulation experiments presented in the paper analyze the effects of the quality of the datalink data on the performance of different air-to-air missiles. The measure of performance is the probability of kill. The results of the simulations imply that the quality of the final updates before attempting the transition to using the missile’s seeker have the largest effect on the performance. Unless a large percentage of the target updates are lost or the seeker’s lock on to the target is delayed, the missile can typically get within a lethal miss distance of the target. The framework presented in this paper is suitable for evaluating the performance of all types of guided weapons.","PeriodicalId":223838,"journal":{"name":"The Journal of Defense Modeling and Simulation","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135539136","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

RETRACTED: “Multicriteria analysis of firefighter routes in buildings in the case of a fire” 撤回:“火灾情况下建筑物内消防员路线的多标准分析”

The Journal of Defense Modeling and Simulation Pub Date : 2023-06-09 DOI: 10.1177/15485129231183295

引用次数: 0