Construction equipment activity recognition for simulation input modeling using mobile sensors and machine learning classifiers

R Akhavian, AH Behzadan - Advanced Engineering Informatics, 2015 - Elsevier
Although activity recognition is an emerging general area of research in computer science,
its potential in construction engineering and management (CEM) domain has not yet been …

Dynamic data driven applications systems (DDDAS) modeling for automatic target recognition

E Blasch, G Seetharaman… - … Target Recognition XXIII, 2013 - spiedigitallibrary.org
The Dynamic Data Driven Applications System (DDDAS) concept uses applications
modeling, mathematical algorithms, and measurement systems to work with dynamic …

Dynamic data driven applications system concept for information fusion

E Blasch, G Seetharaman, K Reinhardt - Procedia Computer Science, 2013 - Elsevier
We present a framework of Information Fusion (IF) using the Dynamic Data Driven
Applications Systems (DDDAS) concept. Existing literature at the intersection of these two …

[PDF][PDF] Simulation-based analytics for quality control decision support: Pipe welding case study

W Ji, SM AbouRizk - J. Comput. Civ. Eng, 2018 - researchgate.net
This research aims to enhance industrial pipe welding quality management decision support
processes from both an operational and tactical management level by introducing a …

From data to simulation models: component-based model generation with a data-driven approach

Y Huang, MD Seck, A Verbraeck - Proceedings of the 2011 …, 2011 - ieeexplore.ieee.org
Model building is time-consuming and requires expertise in different areas. In this paper, we
propose a data-driven approach for automatic model generation using pre-built and …

[PDF][PDF] Формирование и развитие цифровых экосистем транспортно-логистического обслуживания

АВ Дмитриев - дисс.… доктора эк. наук: 08.00. 05/Дмитриев …, 2021 - unecon.ru
Среди ключевых факторов устойчивого экономического развития государства важную
роль играет налаженная система физического распределения товарно-материальных …

Chaos theory–inspired evolutionary method to refine imperfect sensor data for data-driven construction simulation

P Shrestha, AH Behzadan - Journal of Construction Engineering …, 2018 - ascelibrary.org
In construction planning, inherent uncertainties in activity sequences and variations of work
packages can often cause deviations from project plans. In order to effectively study and …

[HTML][HTML] 面向装备RUL 预测的平行仿真技术

葛承垄, 朱元昌, 邸彦强 - 2018 - html.rhhz.net
装备平行仿真是系统建模与仿真领域的新兴仿真技术, 已经成为研究热点.
在装备维修保障领域中, 分析了装备剩余寿命(RUL) 预测存在的突出问题, 即模型参数固定 …

Reinforcement learning-based prediction approach for distributed Dynamic Data-Driven Application Systems

SY Lin - Information Technology and Management, 2015 - Springer
With the current advances in cloud and distributed system technology, data have become
ubiquitous and their dynamics has increased. It is an extreme challenge to find the …

Equipment remaining useful life prediction oriented symbiotic simulation driven by real-time degradation data

C Ge, Y Zhu, Y Di - … Journal of Modeling, Simulation, and Scientific …, 2018 - World Scientific
As an emerging simulation technology in the field of system modeling and simulation, the
equipment symbiotic simulation has become research emphasis. In the field of equipment …