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IEEE Transactions on Artificial Intelligence 2024年第6期5卷 2805-2815页

作者： Wang, Guangcheng Shi, Quan Wang, Han Gu, Ke Wei, Mengting Wong, Lai Kuan Wang, Mingxing Nantong University School of Transportation and Civil Engineering Nantong226019 China Beijing University of Technology Faculty of Information Technology Engineering Research Center of Intelligence Perception and Autonomous Control Ministry of Education Beijing Laboratory of Smart Environmental Protection Beijing Artificial Intelligence Institute Beijing100124 China Chinese Academy of Sciences Institute of Software Beijing100045 China Multimedia University Faculty of Computing and Informatics Cyberjaya63100 Malaysia Environmental Science and Technology Company Ltd. Beijing102100 China

As the primary pollutant in China's urban atmosphere, particulate matter (PM)2.5 poses a great threat to the health of residents and ecological stability. An efficient and effective PM2.5 concentration monitoring is essential. Nonetheless, the popular devices for PM2.5 monitoring are developed based on two standards: the microoscillation balance method and the β-ray method, which have high purchase and maintenance costs and slow calculation rates. To this end, we put forward a real-time and reliable vision-based estimation algorithm of PM2.5 concentration. To be specific, the proposed method first develops two natural scene statistical analysis-based visual priors to measure saturation and structural information losses caused by the 'haze' formed by PM2.5. Moreover, we develop a lightweight deep belief network-deep neural network-based PM2.5 concentration estimation model, which learns the mapping from the designed visual priors to PM2.5 concentrations. Experiments confirm the superiority of our vision-based PM2.5 concentration estimation method by comparison with state-of-the-art photo-based PM2.5 monitoring methods. © 2020 IEEE.

关键词： Entropy

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An Experimental Study on Spatiotemporal Step Characteristics of Individuals Considering the Effect of Ship Heeling and Trim 9

An Experimental Study on Spatiotemporal Step Characteristics...

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9th International Conference on Fire Science and Fire Protection engineering, ICFSFPE 2019

作者： Sun, Jinlu Lu, Shouxiang Wu, Jiansheng Sun, Ting Shi, Kai Huang, Shenshi School of Urban Planning and Design Peking University Shenzhen Graduate School Shenzhen China Skate Key Laboratory of Fire Science University of Science and Technology of China Hefei China Postdoctoral Innovation Base Smart City Research Institute of China Electronics Technology Group Corporation Shenzhen China Smart City Research Institute of China Electronics Technology Group Corporation Emergency and Ecology Department Shenzhen China Institute of Advanced Computing and Digital Engineering Shenzhen Institute of Advanced Technology Chinese Academy of Science Shenzhen China

ISBN: (纸本)9781728153223

Ship listing and motion affects individual movement pattern on board, thus individual walking behavior would be significantly different from those on level ground. To quantify the correlation between individual walking speed and gait parameters of individuals on board, we designed a ship corridor simulator, where we performed both fast and freely walking experiments considering the effect of ship heeling and trim. Results indicated that both step length and step frequency are positively linearly associated with individual walking speed with different degrees, with one exception that individuals could adopt quick and tiny steps in a much lower walking speed with even larger step frequency to keep balance when the trim-up or trim-down angle exceeds 20°. However, there is no direct relationship that could be observed between step width and individual walking speed, despite that walking with wider steps might weaken individual stability and increase fall risk. Moreover, though individual experimental subjects tend to walk along the right side due to cultural factors, the walking routes are more likely to be close to the handrail arranged on the opposite side for safety purpose when the trim-down angle exceeds 20° even though some of them did not use the handrail actually. This work would be a primary consideration in the development of evacuation models and the design of evacuation facilities on board. © 2019 IEEE.

关键词： Ships

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Wind speed prediction and insight for generalized predictive modeling framework: a comparative study for different artificial intelligence models

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Neural computing and Applications 2024年第23期36卷 14119-14150页

作者： Bhagat, Suraj Kumar Tiyasha, Tiyasha Shather, A.H. Jamei, Mehdi Kumar, Adarsh Al-Khafaji, Zainab Goliatt, Leonardo Shafik, Shafik S. Alawi, Omer A. Yaseen, Zaher Mundher Faculty of Civil Engineering Ton Duc Thang University Ho Chi Minh City Viet Nam Department of Computer Engineering Technology Al Kitab University Altun Kopru Kirkuk00964 Iraq Faculty of Civil Engineering and Architecture Shahid Chamran University of Ahvaz Ahvaz Iran Canadian Centre for Climate Change and Adaptation University of Prince Edward Island St PetersPE Canada Building and Construction Techniques Engineering Department College of Engineering and Engineering Techniques Al-Mustaqbal University Hillah Babylon51001 Iraq Department of Computational and Applied Mechanics Federal University of Juiz de Fora Juiz de Fora Brazil Experimental Nuclear Radiation Research Group Scientific Research Center Al-Ayen University Thi-Qar64001 Iraq Johor Bahru Skudai81310 Malaysia Civil and Environmental Engineering Department King Fahd University of Petroleum and Minerals Dhahran31261 Saudi Arabia Department of Civil Engineering School of Engineering and Computing Dev Bhoomi Uttarakhand University Dehradun India Dept of Environmental Science Gitam School of Science GITAM University Visakhapatnam India

Wind speed (WS) has played a vital role in local urban and sub-urban weather, agriculture, and ecosystem. Several meteorological parameters are influencing WS such as relative humidity (at 2 m, %), surface pressure (kPa), maximum temperature (at 2 m, °C), minimum temperature (at 2 m, °C), average temperature (at 2 m, °C), and all sky insolation incident on a horizontal surface (kW-h/m2/day). The current research was conducted to predict WS at different locations at Vietnam using the feasibility of computer aid models (i.e., multivariate adaptive regression splines (MARS), extreme gradient boosting (XGBoost) and random forest generator (Ranger)). Pearson correlation (PC) was investigated to select the high significant predictors to predict the WS at 10 m high. All inputs (maximum number, 6) are chosen by the PC approach for PhuongNinh, DaNang, and HaNoi;and for minimum number of inputs i.e four, are selected for PhuongHung, CanTho, and SaPa city;that exhibit the relationship with WS, citywise. The sequence selection of input parameters differed in each station as per the PC analysis. Based on the statistical evaluation and graphical presentation, MARS model attained the best prediction results, followed by XGBoost and Ranger. MARS predictive model remains at the top performance among others based on 95% confidence interval. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2024.

关键词： Forecasting

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Importance of selecting a suitable analysisfrequency range in impact force identification for automobile test rig 2

Importance of selecting a suitable analysisfrequency range i...

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2nd International Conference on Recent Advances in Automotive engineering and Mobility research, ReCAR 2013

作者： Yee, Khoo Shin Chao, Ong Zhi Kuan, Kong Keen Ismail, Zubaidah Tong, Chong Wen Noroozi, Siamak Rahman, Abdul Ghaffar Abdul Department of Mechanical Engineering University of Malaya Kuala Lumpur Malaysia Department of Civil Engineering University of Malaya Kuala Lumpur Malaysia Advanced Shock and Vibration Research Group Applied Vibration Laboratory University of Malaya Block R Malaysia School of Design Engineering and Computing Bournemouth University Poole Dorset United Kingdom University of Malaysia Pahang PekanPahang Malaysia

ISBN: (纸本)9783038352617

In this study, the effectiveness of selecting a suitable analysis frequency range in impact force identification is highlighted. A methodology that utilizesOperating Deflection Shape (ODS) analysis, Modal Analysis (MA) and Modal Transformation Method (MTM) to evaluate the dynamic force in three cases of analysis frequency ranges was presented. These three cases are the overestimated, even-estimated, and under-estimated cases, which consist of higher, similar andlower analysis frequency range respectively, compared to the actual excitation frequency range. The performance of this approach was demonstrated via experiment. A Perspex plate with four ground supports was used as the automobile test rig. By measuring the acceleration response and Frequency Response Function (FRF) of the test rig, the time history of unknown force was recovered by the proposed method where the impact location was known in advance. It showed that the force identification result for even-estimated case falls within acceptable range while the force identification result for over-estimated and under-estimated cases isnot acceptable. © (2014) Trans Tech Publications, Switzerland.

关键词： Modal analysis

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Mechanical characterization and induced crystallization in nanocomposites of thermoplastics and carbon nanotubes

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npj Computational Materials 2020年第1期6卷 413-423页

作者： Eduardo R.Cruz-Chú Gonzalo J.Villegas-Rodríguez Tobias Jäger Luca Valentini Nicola M.Pugno Konstantinos Gkagkas Frauke Gräter Laboratorios de Investigación y Desarrollo Facultad de Ciencias y FilosofíaUniversidad Peruana Cayetano HerediaLimaPeru Molecular Biomechanics Group Heidelberg Institute for Theoretical StudiesHeidelbergGermany Civil and Environmental Engineering Department University of Perugia and INSTM Research UnitTerniItaly Laboratory of Bio-inspired BionicNanoMeta Materials MechanicsUniversity of TrentoTrentoItaly School of Engineering and Materials Science Queen Mary University of LondonLondonUK Advanced Technology Group Toyota Motor EuropeZaventemBelgium Interdisciplinary Center for Scientific Computing(IWR) Heidelberg UniversityHeidelbergGermany

Nanocomposites built from polymers and carbon nanotubes(CNTs)are a promising class of *** modeling can provide nanoscale views of the polymer–CNT interface,which are much needed to foster the manufacturing and development of such ***,setting up periodic nanocomposite models is a challenging *** we propose a computational workflow based on Molecular Dynamics simulations.

关键词： materials composites crystallization

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Quality assessment of dynamic response measurements using wireless sensor networks: Preliminary results 7

Quality assessment of dynamic response measurements using wi...

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7th European Workshop on Structural Health Monitoring, EWSHM 2014

作者： Chowdhury, Sharmistha Olney, Peter Deeb, Maher Zabel, Volkmar Smarsly, Kay Research Training Group 1462 Bauhaus University Weimar Berkaerstr. 9 Weimar99425 Germany Institute of Structural Mechanics Bauhaus University Weimar Marienstr. 15 Weimar99423 Germany Department of Computing in Civil Engineering Bauhaus University Weimar Coudraystr. 7 Weimar99423 Germany

Vibration-based methods, using response measurements of civil engineering structures, are among the most popular methods for damage detection and system identification in structural health monitoring (SHM). To accurately obtain response measurements, wireless sensors networks are increasingly applied for collecting monitoring data from the observed structures. However, several types of noise usually contaminate the monitoring data leading to inaccurate or even incorrect diagnoses and prognoses of the dynamic properties of the structures. The main objective of this study is the elimination of such noise directly on the wireless sensor nodes in order to obtain high-quality monitoring data. Specifically, a wireless SHM system is designed and, for validation purposes, mounted on a tower-like laboratory test structure. The wireless sensors are provided with different embedded filters designed to improve the estimation of the system properties, which are calculated from the dynamic response measurements, i.e. from the monitoring data. In a final step, the quality of the dynamic response measurement is assessed. Copyright © Inria (2014).

关键词： Structural health monitoring

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Simulation of Passenger Evacuation of High-speed Train Cars 9

Simulation of Passenger Evacuation of High-speed Train Cars

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9th International Conference on Fire Science and Fire Protection engineering, ICFSFPE 2019

作者： Huang, Shenshi Wei, Ruichao Shi, Kai Hu, Jinxing Lu, Shouxiang Lian, Liping Institute of Advanced Computing and Digital Engineering Shenzhen Institute of Advanced Technology Chinese Academy of Science Shenzhen China Smart City Research Institute of China Electronics Technology Group Corporation Shenzhen China State Key Laboratory of Fire Science University of Science and Technology of China Hefei China School of Urban Planning and Design Peking University Shenzhen China

ISBN: (纸本)9781728153223

This study is to evaluate the passenger evacuation of the high-speed train. Geometry was built up based on current Chinese train type CRH380B, and scenarios were designed according to the current emergency response plans. Simulation runs were performed by Pathfinder and uncertainty of evacuation time was obtained. It is observed that the passenger flow rates in train coaches are generally stable. Passenger transfer time and evacuation time are approximately proportional to passenger attendance rate. However, in some complicated scenarios, it is found that the process of passenger transfer affects the evacuation results a lot. Reasonable passenger transfer scale can maximize the effectiveness of emergency plans. This study provides an evaluation method on the topic of train car evacuation, and future work can be carried out to optimize the design of emergency response. © 2019 IEEE.

关键词： Railroad cars

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Modular Bayesian damage detection for civil structures. A proof of concept case-study 9

Modular Bayesian damage detection for civil structures. A pr...

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9th European Workshop on Structural Health Monitoring, EWSHM 2018

作者： Jesus, Andre Brommer, Peter Westgate, Robert Koo, Ki Brownjohn, James Laory, Irwanda Civil Research Group School of Engineering University of Warwick CV4 7AL United Kingdom Warwick Centre for Predictive Modelling School of Engineering Centre for Scientific Computing University of Warwick CV4 7AL United Kingdom College of Engineering Mathematics and Physical Sciences Univ. of Exeter EX4 4QF United Kingdom

In the last decades a significant portion of research in Structural Health Monitoring has been developed upon the principles of vibration-based methods, where monitored modal properties have been treated as a set of features for damage detection. Unfortunately, factors external to the structural system, such as environmental/operational effects, have been shown to mask relevant anomalous patterns. This paper presents a modular Bayesian damage identification framework which considers external effects explicitly, along with other sources of uncertainty. A calibrated finite element model of the Tamar bridge is used in order to identify anomalous features in the bridge main/stay cables and its bearings. Displacements, natural frequencies, temperature and traffic monitored throughout a year are used to form a reference baseline, which is compared against a posterior identification with one month of monitored data. The proposed framework allows to account for observation errors, estimation of damage and model discrepancy of the predictive model. Multiple response Gaussian processes emulate the model response surface and its discrepancy enhancing the identification task while minimising costly computations. Results indicate . © 2018 ***. All rights reserved.

关键词： Structural health monitoring

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Managing Risks in the UK Healthcare Sector

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Risk Management 2002年第3期4卷 43-58页

作者： Okoroh, M I Gombera, P P Alani, A M Director Built Environment Research Group School of Computing and Technology University of Derby Derby Assistant Projects Manager University Surveyor's Office University of Oxford Department of Civil Engineering Senior Lecturer University of Portsmouth

One of the main business objectives for national healthcare managers in the UK is to provide modern and comfortable healing environments for customers, as well as flexible (virtual) workplaces that front the delivery of responsive and seamless clinical services. In order to meet the above objectives healthcare service purchasers (‘trusts’) have had to embrace business approaches in order to manage integrated non-clinical services at best value. This business strategy has meant that the effective and continued provision of support services in healthcare is now an extremely critical business operation. This is in comparison to the past where non-clinical services were considered as ‘backroom’ services with no corporate or strategic value. This paper presents research findings from 365 healthcare executives on business risks faced by purchasers of support services in the UK National Health Service. This research has established that in managing the non-clinical business process there are seven major classes of strategic and competitive management risks faced by purchasers. The common risk classes identified as critical are: customer care; financial and economic; commercial; legal; facility-transmitted; business transfer; and corporate. Further research using factor analysis established that these classical non-clinical risk factors could further be subdivided into 48 constructs/sub-attributes highly rated by the healthcare executives.

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Water Quality Implications and the Toxicological Effects of Chloride-Based Deicers

Water Quality Implications and the Toxicological Effects of ...

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International Symposium on Systematic Approaches to Environmental Sustainability in Transportation: Environmental Sustainability in Transportation Infrastructure

作者： Nazari, Mehdi Honarvar Fay, Laura Jungwirth, Scott Shi, Xianming Smart and Green Infrastructure Group Department of Civil and Environmental Engineering Washington State University PO Box 642910 PullmanWA99164-2910 United States Research Scientist Western Transportation Institute Montana State University PO Box 174250 BozemanMT59717 United States Graduate Research Assistant Western Transportation Institute Montana State University PO Box 174250 BozemanMT59717 United States Department of Civil and Environmental Engineering Washington State University PO Box 642910 PullmanWA99164-2910 United States

ISBN: (数字)9780784479285

ISBN: (纸本)9780784479285

Traditionally, the main priority of winter road maintenance has been assigned to level of service, cost-effectiveness, and corrosion rather than other less well-characterized effects such as impacts to water quality. It is increasingly vital to understand the environmental footprint of deicers, including their impacts on aquatic ecosystems. Chloride based deicers do not degrade in the natural environment and their application on winter pavements can lead to accumulation in adjacent environments over time. Information presented to date on deicers generally includes chemical composition and performance of deicers, while additional information on deicer aquatic toxicity is needed to enable fully-informed decisions by stakeholders. This work presents a state-of-the-knowledge review of the impacts of chloride based deicers and additives on water and aquatic species, and the issue of heavy metal leaching. Toxicity associated with the direct effect of deicers or with the indirect effect via their interactions with runoff chemistry is reviewed as well. This work will assist the stakeholder agencies in the search for effective practices to reduce the toxicity and other water quality implications of chloride based deicers. © ASCE.

关键词： Water quality

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