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Hao, Xiaodi (author), Yu, W. (author), Yuan, Tugui (author), Wu, Yuanyuan (author), van Loosdrecht, Mark C.M. (author)
As a product of phosphorous recovery from anaerobic digestion (AD) of waste activated sludge (WAS), vivianite has received increasing attention. However, key factors controlling vivianite formation have not yet been fully addressed. Thus, this study was initiated to ascertain key factors controlling vivianite formation. A simulation of...
journal article 2022
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Yuan, S. (author), Aubry, P.J. (author), Fioranelli, F. (author), Yarovoy, Alexander (author)
The ambiguity problem of targets in Doppler beam sharpening (DBS) with forward-looking radar is considered. While DBS is proposed earlier to improve the angular resolution of the radar while keeping the antenna aperture size limited, such a solution suffers from ambiguities in the case of targets positioned symmetrically with respect to the...
journal article 2022
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Liu, Y. (author), Houwing, E.J. (author), Hertogh, M.J.C.M. (author), Yuan, Ziwei (author), Liu, Huimin (author)
Research on explorative learning has primarily focused on the organizational level. Not much research has been done at the megaproject level, which is a more complex form of organizing. Therefore, it is advisable to analyze how the pursuit of explorative learning is enabled at the megaproject level. This research draws upon the case study of...
journal article 2022
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Wu, Jiansong (author), Xing, Yuxuan (author), Bai, Yiping (author), Hu, Xiaofeng (author), Yuan, S. (author)
Accidents induced by natural disasters at sports sites may cause catastrophic loss of great concern. However, previous studies on risk assessments of sports sites have only focused on operational risk and equipment failure. With the frequent occurrence of extreme disasters, the risk of domino chains caused by natural disasters at large-scale...
review 2022
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Zhan, Juhong (author), Jiang, Yue (author), Cieri, Christopher (author), Liberman, Mark (author), Yuan, Jiahong (author), Chen, Yiya (author), Scharenborg, O.E. (author)
This paper describes our use of mixed incentives and the citizen science portal LanguageARC to prepare, collect and quality control a large corpus of object namings for the purpose of providing speech data to document the under-represented Guanzhong dialect of Chinese spoken in the Shaanxi province in the environs of Xi’an.
conference paper 2022
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Lin, Yingyun (author), Xu, Jiyao (author), van den IJssel, J.A.A. (author), Yuan, Wei (author)
One of the most important parameters in the atmosphere, the neutral temperature, becomes difficult to measure at high altitudes such as the exosphere. Therefore, based on the assumption of static equilibrium and isothermal atmosphere, a new method was developed to derive quiet-time exospheric temperatures using neutral atmospheric densities from...
journal article 2022
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Zou, Yingxue (author), Pang, Ling (author), Xu, S. (author), Wu, Shaopeng (author), Yuan, Miao (author), Amirkhanian, Serji (author), Xu, Haiqin (author), Lv, Yang (author), Gao, Xiang (author)
During the service period, asphalt materials are affected by various natural factors, including heat, ultraviolet light, oxygen and moisture, etc., resulting in the reduction of pavement performance, the increase of pavement distress and shortening of service life. This study aims to investigate the aging performance of asphalt under multiple...
journal article 2022
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Cheng, Long (author), Zhang, Lei (author), Liu, X. (author), Yuan, Fang (author), Ma, Yang (author), Sun, Yinqing (author)
Reliable assessment of the fatigue resistance of asphalt pavement with a long-term service is critically crucial for the rational formulation of original pavement utilization strategies in reconstruction and expansion projects. Currently, the pavement performance evaluation indicators are mainly used to guide pavement preventive maintenance,...
journal article 2022
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Ma, Xinwei (author), Zhang, Shuai (author), Jin, Yuchuan (author), Zhu, Minqing (author), Yuan, Y. (author)
Metro-bikeshare integration, an important way of improving the efficiency of public transportation, has grown rapidly during the last decades in many countries. However, most previous analysis of metro-bikeshare transfer trips were based on limited sample size and the number of recognized metro-bikeshare trips were not sufficient. The primary...
journal article 2022
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Xu, Y. (author), Reniers, G.L.L.M.E. (author), Yang, M. (author), Yuan, S. (author), Chen, C. (author)
Data uncertainties caused by the lack of knowledge and nature variation or randomness present vital challenges to domino effects modelling. To improve the assessment of the propagation probabilities and consequences of the domino-effect accidents, the influence of various types of uncertainties on risk assessment results needs to be investigated...
journal article 2022
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Yuan, S. (author), Yang, M. (author), Reniers, G.L.L.M.E. (author), Chen, C. (author)
Chemical process industries are threatened with accidental and intentional adverse events because of the storage and operation of large quantities of hazardous substances. Safety and security barriers play important roles in protecting the chemical plants from safety and security-related undesired events and mitigating the potentially...
journal article 2022
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Zhu, J. (author), Cherubini, Andrea (author), Dune, Claire (author), Navarro-Alarcon, David (author), Alambeigi, Farshid (author), Berenson, Dmitry (author), Ficuciello, Fanny (author), Harada, Kensuke (author), Kober, J. (author), Yuan, Wenzhen (author)
Deformable object manipulation (DOM) is an emerging research problem in robotics. The ability to manipulate deformable objects endows robots with higher autonomy and promises new applications in the industrial, services, and health-care sectors. However, compared to rigid object manipulation, the manipulation of deformable objects is...
journal article 2022
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Baldi, S. (author), Kosmatopoulos, Elias (author), Roy, Spandan (author), Yuan, Shuai (author), Roy, Sayan Basu (author), Li, Le (author)
contribution to periodical 2022
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Hou, Miaomiao (author), Hu, Xiaofeng (author), Cai, Jitao (author), Han, Xinge (author), Yuan, S. (author)
Crime issues have been attracting widespread attention from citizens and managers of cities due to their unexpected and massive consequences. As an effective technique to prevent and control urban crimes, the data-driven spatial–temporal crime prediction can provide reasonable estimations associated with the crime hotspot. It thus contributes to...
journal article 2022
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Yuan, Xiaotian (author), Jia, L. (author), Menenti, M. (author), Jiang, Min (author)
Human activities modulate the impact of environmental forcing in general and of climate in particular. Information on the spatial and temporal patterns of human activities is in high demand, but scarce in sparsely populated and data-poor regions such as Northern Africa. The intensity and spatial distribution of nighttime lights provide useful...
journal article 2022
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Apruzzese, Giovanni (author), Conti, M. (author), Yuan, Ying (author)
Existing literature on adversarial Machine Learning (ML) focuses either on showing attacks that break every ML model, or defenses that withstand most attacks. Unfortunately, little consideration is given to the actual cost of the attack or the defense. Moreover, adversarial samples are often crafted in the "feature-space", making the...
conference paper 2022
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Han, Rui (author), Wen, Shilin (author), Liu, Chi Harold (author), Yuan, Ye (author), Wang, Guoren (author), Chen, Lydia Y. (author)
Edge-cloud jobs are rapidly prevailing in many application domains, posing the challenge of using both resource-strenuous edge devices and elastic cloud resources. Efficient resource allocation on such jobs via scheduling algorithms is essential to guarantee their performance, e.g. latency. Deep reinforcement learning (DRL) is increasingly...
conference paper 2022
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Wang, K. (author), Wang, Jianhang (author), Huang, Lianzhong (author), Yuan, Yupeng (author), Wu, Guitao (author), Xing, Hui (author), Wang, Zhongyi (author), Wang, Zhuang (author), Jiang, X. (author)
Ship energy consumption and emission prediction are critical for ship energy efficiency management and pollution gas emission control, both of which are major concerns for the shipping industry and hence continue to attract global attention and research interest. This article examined the energy efficiency data sources, big data analysis for...
review 2022
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Lei, Xin (author), Zhang, Jiayan (author), Hong, H. (author), Yuan, Zhishan (author), Liu, Zewen (author)
Nanopores have attracted widespread attention in DNA sequencing and protein or biomarker detection, owning to the single-molecule-scale detection accuracy. Despite the most use of naturally biological nanopores before, solid-state nanopores are widely developed with strong robustness, controllable sizes and geometries, a wide range of...
review 2022
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Sharma, Keshab (author), Gutierrez, Oriol (author), Yuan, Zhiguo (author), Daelman, Matthijs R.J. (author), van Loosdrecht, Mark C.M. (author), Volcke, Eveline I.P. (author)
This chapter provides a review of the models available for estimating the production and emission of methane from wastewater collection and treatment systems. The details of a number of mechanistic models as well as the simplified empirical models have been summarized. Their limitations have been identified and general methods for calibration...
book chapter 2022
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