標(biāo)題: Titlebook: Dynamic Data Driven Applications Systems; Third International Frederica Darema,Erik Blasch,Alex Aved Conference proceedings 2020 Springer [打印本頁] 作者: 類屬 時(shí)間: 2025-3-21 18:52
書目名稱Dynamic Data Driven Applications Systems影響因子(影響力)
書目名稱Dynamic Data Driven Applications Systems影響因子(影響力)學(xué)科排名
書目名稱Dynamic Data Driven Applications Systems網(wǎng)絡(luò)公開度
書目名稱Dynamic Data Driven Applications Systems網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Dynamic Data Driven Applications Systems被引頻次
書目名稱Dynamic Data Driven Applications Systems被引頻次學(xué)科排名
書目名稱Dynamic Data Driven Applications Systems年度引用
書目名稱Dynamic Data Driven Applications Systems年度引用學(xué)科排名
書目名稱Dynamic Data Driven Applications Systems讀者反饋
書目名稱Dynamic Data Driven Applications Systems讀者反饋學(xué)科排名
作者: 擦試不掉 時(shí)間: 2025-3-21 22:31 作者: Dorsal 時(shí)間: 2025-3-22 04:13
Data-Driven State Awareness for Fly-by-Feel Aerial Vehicles via Adaptive Time Series and Gaussian Prility to represent the nonlinear mapping between the flight state and the vibration signal energy of the wing. The experimental assessment is based on a prototype self-sensing UAV wing that is subjected to a series of wind tunnel experiments under multiple flight states.作者: burnish 時(shí)間: 2025-3-22 07:47 作者: MONY 時(shí)間: 2025-3-22 09:40
0302-9743 , held in Boston, MA, USA, in October 2020.. The 21 full papers and 14 short papers presented in this volume were carefully reviewed and selected from 40 submissions. They cover topics such as: digital twins; environment cognizant adaptive-planning systems; energy systems; materials systems; physics作者: antedate 時(shí)間: 2025-3-22 16:11 作者: antedate 時(shí)間: 2025-3-22 17:17 作者: LINES 時(shí)間: 2025-3-23 00:17
Conference proceedings 2020sions. They cover topics such as: digital twins; environment cognizant adaptive-planning systems; energy systems; materials systems; physics-based systems analysis; imaging methods and systems; and learning systems..作者: 異端邪說2 時(shí)間: 2025-3-23 05:21 作者: 和諧 時(shí)間: 2025-3-23 07:05 作者: 慢慢啃 時(shí)間: 2025-3-23 11:55 作者: jungle 時(shí)間: 2025-3-23 17:20
Dynamic Data-Driven Application Systems for NASA’s Science Mission Directorateiniaturized science instruments makes possible domain-specific scientific investigations. When coupled with numerical prediction models, these types of spacecraft will enable new scientific investigations of phenomena that previously could not have been studied or would have been too expensive to study.作者: 獨(dú)特性 時(shí)間: 2025-3-23 21:30
Predictive Digital Twins: Where Dynamic Data-Driven Learning Meets Physics-Based Modelingortance is a tight feedback loop between models and data, which has long been a central concept in DDDAS. This keynote talk presents an approach to create, update, and deploy data-driven physics-based digital twins. We demonstrate the approach through the development of a structural digital twin for a custom-built unmanned aerial vehicle.作者: BRUNT 時(shí)間: 2025-3-24 00:16
Conference proceedings 2020Boston, MA, USA, in October 2020.. The 21 full papers and 14 short papers presented in this volume were carefully reviewed and selected from 40 submissions. They cover topics such as: digital twins; environment cognizant adaptive-planning systems; energy systems; materials systems; physics-based sys作者: 是剝皮 時(shí)間: 2025-3-24 03:21 作者: PANT 時(shí)間: 2025-3-24 08:27
978-3-030-61724-0Springer Nature Switzerland AG 2020作者: ABHOR 時(shí)間: 2025-3-24 12:32
Dynamic Data Driven Applications Systems978-3-030-61725-7Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: nuclear-tests 時(shí)間: 2025-3-24 18:10 作者: 宏偉 時(shí)間: 2025-3-24 21:51
Bildungsstandards und Verstehenskompetenztool to underpin intelligent automation and drive key decisions. The formulations and methods of dynamic data-driven application systems (DDDAS) have a key role to play in the tasks of inference, assimilation, prediction, control, and planning that enable the digital twin paradigm. Of particular imp作者: 排名真古怪 時(shí)間: 2025-3-25 02:02 作者: inventory 時(shí)間: 2025-3-25 03:55 作者: Endoscope 時(shí)間: 2025-3-25 10:25
Bildungsstandards und Verstehenskompetenze destructive, making applied fire research more important and time critical. Significant improvements towards modeling of the extent and dynamics of evolving plethora of fire related environmental hazards, and their socio-economic and human impacts can be made through intelligent integration of mod作者: lactic 時(shí)間: 2025-3-25 14:27
Bildungsstandards und Verstehenskompetenzrs dictate trip origin, destination and timing. One of the major components of this vision is urban air mobility (UAM) for the masses. UAM means a safe and efficient system for vehicles to move passengers and cargo within a city. In order to reach UAM’s full market potential the vehicle will have to作者: MOCK 時(shí)間: 2025-3-25 15:57
Kristina Weissenbach,Karl-Rudolf Kortet data-driven analysis. When constructing such a framework, it is especially important to provide an efficient, filtered data stream to the model. To address this need, this investigation describes a DDDAS-based Digital Twin IoT Framework which comprises three layers, namely the Edge, Fog and Cloud.作者: 感情 時(shí)間: 2025-3-25 21:29
Kristina Weissenbach,Karl-Rudolf Kortethis testbed is on enabling a self-aware unmanned aerial vehicle (UAV). Self-awareness in this context refers to the ability of the vehicle to collect information about itself and use this information to alter the way it completes missions via on-board dynamic decision-making. Prior work has focused作者: 憤怒歷史 時(shí)間: 2025-3-26 02:07
Zentral geplant, lokal gek?mpftronments [., .]. These requirements describe a free-flight model, where operators are afforded the maximum flexibility to design individually optimal trajectories, with the caveat that all operations must be strategically deconflicted prior to flight. Strategic deconfliction reduces the probability 作者: 寬宏大量 時(shí)間: 2025-3-26 08:06 作者: delusion 時(shí)間: 2025-3-26 11:05
Nicole Podschuweit M.A.,Stefan Dahlemlanning algorithms that reason over model uncertainty can allow an aircraft to safely and efficiently traverse a complex, uncertain environment. However, even paths robust to a priori uncertainty may be inferior to trajectories planned using an environmental model refined using in situ observations.作者: grounded 時(shí)間: 2025-3-26 13:30
Der Faktor Amerika im Wahlkampf 2002ront of the conversation. Microgrids (MGs) are groundbreaking tools that have risen in popularity to combat this crisis by capitalizing on renewable, distributed energy resources to efficiently satisfy the energy demand from environmental sensors via telemetry. In this work, we present a deviation c作者: 裝飾 時(shí)間: 2025-3-26 17:18 作者: MIME 時(shí)間: 2025-3-26 21:43
Margarete Klein M.A.,Alexander Stra?ner M.A.ge amounts of electrical energy, it is critical to reducing energy consumption and economic costs while ensuring a better quality of urban living standards. As sensor-actuator rich, smart buildings are becoming complex dynamic data-driven applications systems (DDDAS), accurate and interpretable data作者: Interregnum 時(shí)間: 2025-3-27 04:42 作者: GENRE 時(shí)間: 2025-3-27 06:46 作者: CLOUT 時(shí)間: 2025-3-27 13:18
Bildungsstandards und Verstehenskompetenzl and assess the environment and then take actions based on these models. Necessarily, there is uncertainty associated with the data and the models generated from it. Since we are dealing with safety-critical systems, one of the main challenges of ICM is to generate sufficient data and to minimize i作者: 針葉樹 時(shí)間: 2025-3-27 14:22 作者: FLIT 時(shí)間: 2025-3-27 20:18
Kristina Weissenbach,Karl-Rudolf Korteposed of wireless high frequency dynamic strain sensors has been developed and demonstrated using benchtop experiments. The proposed DDDAS architecture, which includes previously developed computational methods, has the potential to enable two-way coupling between estimation of the UAV structural st作者: intention 時(shí)間: 2025-3-27 22:25 作者: headlong 時(shí)間: 2025-3-28 05:12 作者: Axillary 時(shí)間: 2025-3-28 07:37
Der Faktor Amerika im Wahlkampf 2002 sensing strategy and the second is the DC algorithm which reduces the execution time of the MG simulation. Numerical analysis was conducted on the IEEE-18 bus test network to assess the performance of the proposed framework and determine an appropriate threshold for clustering. The limitations of t作者: 大漩渦 時(shí)間: 2025-3-28 13:47 作者: lymphedema 時(shí)間: 2025-3-28 17:42 作者: Synapse 時(shí)間: 2025-3-28 22:20
Using Dynamic Data Driven Cyberinfrastructure for Next Generation Disaster Intelligenceh a goal to create an integrated system, data and visualization services, and workflows for wildfire monitoring, simulation, and response. Today, WIFIRE provides an end-to-end management infrastructure from the data sensing and collection to artificial intelligence and modeling efforts using a conti作者: Visual-Acuity 時(shí)間: 2025-3-29 00:55 作者: 果核 時(shí)間: 2025-3-29 05:02 作者: Cupidity 時(shí)間: 2025-3-29 08:14 作者: reserve 時(shí)間: 2025-3-29 14:00
A DDDAS Protocol for Real-Time Large-Scale UAS Flight Coordination a dynamic distributed protocol for reactive conflict management that serves a similar purpose, albeit functioning at a time-horizon in between strategic deconfliction and sensor-based conflict management. This DDDAS inspired approach obviates the need for any centralized control by having each UAS 作者: FACT 時(shí)間: 2025-3-29 16:27
Integrated Planning, Decision-Making, and Weather Modeling for UAS Navigating Complex Weathery suboptimal with respect to a single mission in order to sample the environment and update the model. This tasking reconfigures the observations gathered to target portions of the environment relevant to mission execution. Initial simulations show that this approach is able to reduce error in the m作者: 一美元 時(shí)間: 2025-3-29 20:15
Microgrid Operational Planning Using Deviation Clustering Within a DDDAS Framework sensing strategy and the second is the DC algorithm which reduces the execution time of the MG simulation. Numerical analysis was conducted on the IEEE-18 bus test network to assess the performance of the proposed framework and determine an appropriate threshold for clustering. The limitations of t作者: Deceit 時(shí)間: 2025-3-30 03:57
Interpretable Deep Attention Model for Multivariate Time Series Prediction in Building Energy Systemortant timesteps and variables. We demonstrate the results using a public multivariate time series dataset collected from an air handling unit in a building heating, ventilation, and air-conditioning (HVAC) system. The model with enhanced interpretability does not compromise with the prediction accu作者: 不能仁慈 時(shí)間: 2025-3-30 05:52
Overcoming Stealthy Adversarial Attacks on Power Grid Load Predictions Through Dynamic Data Repairlements the predictor with a self-representative auto-encoder and works in an iterative manner. The auto-encoder is used to detect and reconstruct the likely adversarial part in the input data. Different reconstruction results come up given different sensitivity levels in detection. As new data flow作者: 令人心醉 時(shí)間: 2025-3-30 09:21 作者: aspect 時(shí)間: 2025-3-30 13:35 作者: Feigned 時(shí)間: 2025-3-30 19:30
Revisiting the Top Ten Ways that DDDAS Can Save the World with an Update in the BioInfoSciences Areaer the COVID-19 pandemic and a 2020 Conference in the virtual format, our world literally seeks rescue/saving. Under these circumstances, we revisit the top ten list and first consider briefly the dynamic data-driven aspects of the COVID-19 challenges from the speaker’s experiences in the biotech/ph作者: 跳脫衣舞的人 時(shí)間: 2025-3-30 21:24
Using Dynamic Data Driven Cyberinfrastructure for Next Generation Disaster Intelligencee destructive, making applied fire research more important and time critical. Significant improvements towards modeling of the extent and dynamics of evolving plethora of fire related environmental hazards, and their socio-economic and human impacts can be made through intelligent integration of mod作者: ACME 時(shí)間: 2025-3-31 03:00 作者: Observe 時(shí)間: 2025-3-31 06:12 作者: admission 時(shí)間: 2025-3-31 09:23
A Hardware Testbed for Dynamic Data-Driven Aerospace Digital Twinsthis testbed is on enabling a self-aware unmanned aerial vehicle (UAV). Self-awareness in this context refers to the ability of the vehicle to collect information about itself and use this information to alter the way it completes missions via on-board dynamic decision-making. Prior work has focused
