Journal of Defense Modeling and Simulation-Applications Methodology Technology-JDMS最新文献_第6页

Aggregated space combat modeling 聚合空间作战建模

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Journal of Defense Modeling and Simulation-Applications Methodology Technology-JDMS Pub Date : 2021-12-02 DOI: 10.1177/15485129211063369

D. Hayhurst, J. Colombi, David W. Meyer

引用次数: 0

Evaluation of Linear Implicit Quantized State System method for analyzing mission performance of power systems 电力系统任务性能分析的线性隐式量化状态系统评价方法

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Journal of Defense Modeling and Simulation-Applications Methodology Technology-JDMS Pub Date : 2021-11-25 DOI: 10.1177/15485129211061702

N. Gholizadeh, Joseph M. Hood, R. Dougal

{"title":"Evaluation of Linear Implicit Quantized State System method for analyzing mission performance of power systems","authors":"N. Gholizadeh, Joseph M. Hood, R. Dougal","doi":"10.1177/15485129211061702","DOIUrl":"https://doi.org/10.1177/15485129211061702","url":null,"abstract":"The Linear Implicit Quantized State System (LIQSS) method has been evaluated for suitability in modeling and simulation of long duration mission profiles of Naval power systems which are typically characterized by stiff, non-linear, differential algebraic equations. A reference electromechanical system consists of an electric machine connected to a torque source on the shaft end and to an electric grid at its electrical terminals. The system is highly non-linear and has widely varying rate constants; at a typical steady state operating point, the electrical and electromechanical time constants differ by three orders of magnitude—being 3.2 ms and 2.7 s respectively. Two important characteristics of the simulation—accuracy and computational intensity—both depend on quantization size of the system state variables. At a quantization size of about 1% of a variable’s maximum value, results from the LIQSS1 method differed by less than 1% from results computed by well-known continuous-system state-space methods. The computational efficiency of the LIQSS1 method increased logarithmically with increasing quantization size, without significant loss of accuracy, up to some particular quantization size, beyond which the error increased rapidly. For the particular system under study, a “sweet spot” was found at a particular quantum size that yielded both high computational efficiency and good accuracy.","PeriodicalId":44661,"journal":{"name":"Journal of Defense Modeling and Simulation-Applications Methodology Technology-JDMS","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2021-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79793132","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: 5

Detection and defense of cyberattacks on the machine learning control of robotic systems 机器学习控制机器人系统的网络攻击检测与防御

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Journal of Defense Modeling and Simulation-Applications Methodology Technology-JDMS Pub Date : 2021-11-21 DOI: 10.1177/15485129211043874

George W. Clark, T. Andel, J. McDonald, T. Johnsten, T. Thomas

引用次数: 1

Renewable energy and energy storage to offset diesel generators at expeditionary contingency bases 可再生能源和能源储存，以抵消远征应急基地的柴油发电机

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Journal of Defense Modeling and Simulation-Applications Methodology Technology-JDMS Pub Date : 2021-10-22 DOI: 10.1177/15485129211051377

Scott M. Katalenich, M. Jacobson

{"title":"Renewable energy and energy storage to offset diesel generators at expeditionary contingency bases","authors":"Scott M. Katalenich, M. Jacobson","doi":"10.1177/15485129211051377","DOIUrl":"https://doi.org/10.1177/15485129211051377","url":null,"abstract":"Expeditionary contingency bases (non-permanent, rapidly built, and often remote outposts) for military and non-military applications represent a unique opportunity for renewable energy. Conventional applications rely upon diesel generators to provide electricity. However, the potential exists for renewable energy, improved efficiency, and energy storage to largely offset the diesel consumed by generators. This paper introduces a new methodology for planners to incorporate meteorological data for any location worldwide into a planning tool in order to minimize air pollution and carbon emissions while simultaneously improving the energy security and energy resilience of contingency bases. Benefits of the model apply not just to the military, but also to any organization building an expeditionary base—whether for humanitarian assistance, disaster relief, scientific research, or remote community development. Modeling results demonstrate that contingency bases using energy efficient buildings with batteries, rooftop solar photovoltaics, and vertical axis wind turbines can decrease annual generator diesel consumption by upward of 75% in all major climate zones worldwide, while simultaneously reducing air pollution, carbon emissions, and the risk of combat casualties from resupply missions.","PeriodicalId":44661,"journal":{"name":"Journal of Defense Modeling and Simulation-Applications Methodology Technology-JDMS","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2021-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89809457","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: 2

Graph analytics and visualization for cyber situational understanding 网络情境理解的图形分析和可视化

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Journal of Defense Modeling and Simulation-Applications Methodology Technology-JDMS Pub Date : 2021-10-08 DOI: 10.1177/15485129211051385

S. Noel, Stephen Purdy, Annie O’Rourke, E. Overly, Brianna Chen, Christine DiFonzo, Joseph Chen, George Sakellis, Mandira Hegde, Mano Sapra, Corrine M. Araki, Jeremy Martin, Ben Koehler, J. Keenan, Timothy Coen, William W. Watson, Jerry Harper, Kevin Jacobs

{"title":"Graph analytics and visualization for cyber situational understanding","authors":"S. Noel, Stephen Purdy, Annie O’Rourke, E. Overly, Brianna Chen, Christine DiFonzo, Joseph Chen, George Sakellis, Mandira Hegde, Mano Sapra, Corrine M. Araki, Jeremy Martin, Ben Koehler, J. Keenan, Timothy Coen, William W. Watson, Jerry Harper, Kevin Jacobs","doi":"10.1177/15485129211051385","DOIUrl":"https://doi.org/10.1177/15485129211051385","url":null,"abstract":"This paper describes the Cyber Situational Understanding (Cyber SU) Proof of Concept (CySUP) software system for exploring advanced Cyber SU capabilities. CySUP distills complex interrelationships among cyberspace entities to provide the “so what” of cyber events for tactical operations. It combines a variety of software components to build an end-to-end pipeline for live data ingest that populates a graph knowledge base, with query-driven exploratory analysis and interactive visualizations. CySUP integrates with the core infrastructure environment supporting command posts to provide a cyber overlay onto a common operating picture oriented to tactical commanders. It also supports detailed analysis of cyberspace entities and relationships driven by ad hoc graph queries, including the conversion of natural language inquiries to formal query language. To help assess its Cyber SU capabilities, CySUP leverages automated cyber adversary emulation to carry out controlled cyberattack campaigns that impact elements of tactical missions.","PeriodicalId":44661,"journal":{"name":"Journal of Defense Modeling and Simulation-Applications Methodology Technology-JDMS","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2021-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76248273","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: 1

Stochastic preemptive goal programming of Air Force weapon systems mix 空军武器系统混合随机先发制人目标规划

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Journal of Defense Modeling and Simulation-Applications Methodology Technology-JDMS Pub Date : 2021-10-08 DOI: 10.1177/15485129211051751

J. Anderson, Jessica M Astudillo, Zachary Butcher, Matthew D Cornman, Anthony J Correale, James B. Crumpacker, Nathaniel C Dennie, Alexandra R Gaines, Mark A. Gallagher, John C Goodwill, Emily S. Graves, Donald B Hale, Kimberly G Holland, B. D. Huffman, M. McGee, Nicholas A Pollack, Rachel C. Ramirez, Camero Song, Emmie K Swize, Erick A Tello, Jesse G. Wales, J. C. Walker, A. B. Wilson, William F. Wilson, Kylie E Wooten, M. Zawadzki

{"title":"Stochastic preemptive goal programming of Air Force weapon systems mix","authors":"J. Anderson, Jessica M Astudillo, Zachary Butcher, Matthew D Cornman, Anthony J Correale, James B. Crumpacker, Nathaniel C Dennie, Alexandra R Gaines, Mark A. Gallagher, John C Goodwill, Emily S. Graves, Donald B Hale, Kimberly G Holland, B. D. Huffman, M. McGee, Nicholas A Pollack, Rachel C. Ramirez, Camero Song, Emmie K Swize, Erick A Tello, Jesse G. Wales, J. C. Walker, A. B. Wilson, William F. Wilson, Kylie E Wooten, M. Zawadzki","doi":"10.1177/15485129211051751","DOIUrl":"https://doi.org/10.1177/15485129211051751","url":null,"abstract":"We demonstrate a new approach to conducting a military force structure study under uncertainty. We apply the stochastic preemptive goal program approach, described by Ledwith et al., to balance probabilistic goals for military force effectiveness and the force’s cost. We use the Bayesian Enterprise Analytic Model (BEAM), as described in “Probabilistic Analysis of Complex Combat Scenarios,” to evaluate effectiveness, expressed in terms of the probability of achieving campaign objectives, in three hypothetical scenarios. We develop cost estimates along with their uncertainty to evaluate the force’s research and development, production, and annual operating and support costs. Our summary depicts how the trade-off between various prioritized goals influences the recommended robust force. Our approach enables defense leaders to balance risk in both force effectiveness in various scenarios along with risk in different types of cost categories.","PeriodicalId":44661,"journal":{"name":"Journal of Defense Modeling and Simulation-Applications Methodology Technology-JDMS","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2021-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77293783","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

Recasted nonlinear complex diffusion method for removal of Rician noise from breast MRI images 重构非线性复扩散法去除乳腺MRI图像中的噪声

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Journal of Defense Modeling and Simulation-Applications Methodology Technology-JDMS Pub Date : 2021-10-08 DOI: 10.1177/15485129211052284

Pradeep Kumar, Subodh Srivastava, Y. Padma Sai

{"title":"Recasted nonlinear complex diffusion method for removal of Rician noise from breast MRI images","authors":"Pradeep Kumar, Subodh Srivastava, Y. Padma Sai","doi":"10.1177/15485129211052284","DOIUrl":"https://doi.org/10.1177/15485129211052284","url":null,"abstract":"The evolution of magnetic resonance imaging (MRI) leads to the study of the internal anatomy of the breast. It maps the physical features along with functional characteristics of selected regions. However, its mapping accuracy is affected by the presence of Rician noise. This noise limits the qualitative and quantitative measures of breast image. This paper proposes recasted nonlinear complex diffusion filter for sharpening the details and removal of Rician noise. It follows maximum likelihood estimation along with optimal parameter selection of complex diffusion where the overall functionality is balanced by regularization parameters. To make recasted nonlinear complex diffusion, the edge threshold constraint “k” of diffusion coefficient is reformed. It is replaced by the standard deviation of the image. It offers a wide range of threshold as variability present in the image with respect to edge. It also provides an automatic selection of “k” instead of user-based value. A series of evaluation has been conducted with respect to different noise ratios further quality improvement of MRI. The qualitative and quantitative assessments of evaluations are tested for the Reference Image Database to Evaluate Therapy Response (RIDER) Breast database. The proposed method is also compared with other existing methods. The quantitative assessment includes the parameters of the full-reference image, human visual system, and no-reference image. It is observed that the proposed method is capable of preserving edges, sharpening the details, and removal of Rician noise.","PeriodicalId":44661,"journal":{"name":"Journal of Defense Modeling and Simulation-Applications Methodology Technology-JDMS","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2021-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77150710","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

Optimizing network microsegmentation policy for cyber resilience 优化网络微分段策略的网络弹性

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Journal of Defense Modeling and Simulation-Applications Methodology Technology-JDMS Pub Date : 2021-10-08 DOI: 10.1177/15485129211051386

S. Noel, Vipin Swarup, K. Johnsgard

{"title":"Optimizing network microsegmentation policy for cyber resilience","authors":"S. Noel, Vipin Swarup, K. Johnsgard","doi":"10.1177/15485129211051386","DOIUrl":"https://doi.org/10.1177/15485129211051386","url":null,"abstract":"This paper describes an approach for improving cyber resilience through the synthesis of optimal microsegmentation policy for a network. By leveraging microsegmentation security architecture, we can reason about fine-grained policy rules that enforce access for given combinations of source address, destination address, destination port, and protocol. Our approach determines microsegmentation policy rules that limit adversarial movement within a network according to assumed attack scenarios and mission availability needs. For this problem, we formulate a novel optimization objective function that balances cyberattack risks against accessibility to critical network resources. Given the application of a particular set of policy rules as a candidate optimal solution, this objective function estimates the adversary effort for carrying out a particular attack scenario, which it balances against the extent to which the solution restricts access to mission-critical services. We then apply artificial intelligence techniques (evolutionary programming) to learn microsegmentation policy rules that optimize this objective function.","PeriodicalId":44661,"journal":{"name":"Journal of Defense Modeling and Simulation-Applications Methodology Technology-JDMS","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2021-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79509405","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: 3

Investigation of Bi-Directional LSTM deep learning-based ubiquitous MIMO uplink NOMA detection for military application considering Robust channel conditions 考虑鲁棒信道条件的基于双向LSTM深度学习的军事通用MIMO上行NOMA检测研究

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Journal of Defense Modeling and Simulation-Applications Methodology Technology-JDMS Pub Date : 2021-10-05 DOI: 10.1177/15485129211050403

Joel Alanya-Beltran, Ravi Shankar, Patteti Krishna, Selva Kumar S

{"title":"Investigation of Bi-Directional LSTM deep learning-based ubiquitous MIMO uplink NOMA detection for military application considering Robust channel conditions","authors":"Joel Alanya-Beltran, Ravi Shankar, Patteti Krishna, Selva Kumar S","doi":"10.1177/15485129211050403","DOIUrl":"https://doi.org/10.1177/15485129211050403","url":null,"abstract":"Ubiquitous multiple-input multiple-output (MIMO) non-orthogonal multiple access (NOMA) networks (UMNs) have emerged as an important technology for enabling security and other applications that need continuous monitoring. Their implementation, however, could be obstructed by the limited bandwidth available due to many wireless users. In this paper, bidirectional long short-term memory (LSTM)-based MIMO-NOMA detector is analyzed considering imperfect successive interference cancelation (SIC). Simulation results demonstrate that the traditional SIC MIMO-NOMA scheme achieves 15 dB, and the deep learning (DL) MIMO-NOMA scheme achieves 11 dB for 10 5 number of iterations. There is a gap of 4 dB which means that the DL-based MIMO-NOMA performs better than the traditional SIC MIMO-NOMA techniques. It has been observed that when the channel error factor increases from 0 to 1, the performance of DL decreases significantly. For the channel error factor value less than 0.07, the DL detector performance much better than the SIC detector even though the perfect channel state information (CSI) is considered. The DL detector’s performance decreases significantly where variations between the actual and expected channel states occurred, although the DL-based detectors’ performance was able to sustain its predominance within a specified tolerance range.","PeriodicalId":44661,"journal":{"name":"Journal of Defense Modeling and Simulation-Applications Methodology Technology-JDMS","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2021-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81455632","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: 2

Impact of the learning rate and batch size on NOMA system using LSTM-based deep neural network 基于lstm的深度神经网络学习率和批处理大小对NOMA系统的影响

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Journal of Defense Modeling and Simulation-Applications Methodology Technology-JDMS Pub Date : 2021-10-01 DOI: 10.1177/15485129211049782

Ravi Shankar, B. Sarojini, H. Mehraj, A. Kumar, Rahul Neware, Ankur Singh Bist

{"title":"Impact of the learning rate and batch size on NOMA system using LSTM-based deep neural network","authors":"Ravi Shankar, B. Sarojini, H. Mehraj, A. Kumar, Rahul Neware, Ankur Singh Bist","doi":"10.1177/15485129211049782","DOIUrl":"https://doi.org/10.1177/15485129211049782","url":null,"abstract":"In this work, the deep learning (DL)-based fifth-generation (5G) non-orthogonal multiple access (NOMA) detector is investigated over the independent and identically distributed (i.i.d.) Nakagami-m fading channel conditions. The end-to-end system performance comparisons are given between the DL NOMA detector with the existing conventional successive interference cancelation (SIC)-based NOMA detector and from results, it has been proved that the DL NOMA detector performance is better than the convention SIC NOMA detector. In our analysis, the long-short term memory (LSTM) recurrent neural network (RNN) is employed, and the results are compared with the minimum mean square estimation (MMSE) and least square estimation (LS) detector’s performance considering all practical conditions such as multipath fading and nonlinear clipping distortion. It has been shown that with the increase in the relay to destination (RD) channel gain, the bit error rate (BER) improves. Also, with the increase in fading parameter m, the BER performance improves. The simulation curves demonstrate that when the clipping ratio (CR) is unity, the performance of the DL-based detector significantly improves as compared to the MMSE and LS detector for the signal-to-noise ratio (SNR) values greater than 15 dB and it proves that the DL technique is more robust to the nonlinear clipping distortion.","PeriodicalId":44661,"journal":{"name":"Journal of Defense Modeling and Simulation-Applications Methodology Technology-JDMS","volume":null,"pages":null},"PeriodicalIF":0.8,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78680960","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: 4