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Zhu, Haiwei (author), Yu, Hongfa (author), Ma, Haiyan (author), Da, Bo (author), Mei, Qiquan (author), Yang, Liming (author)
For elaborating the research significance, goal, content and representative results of the concrete marine field exposure experiments all over the world, we have collected a large number of research literature since 1905. The longest exposure test for concrete has reached 62 years and, most importantly, concrete exposure experiments have made...
conference paper
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Guo, Wenhao (author), Hu, Jie (author), Ma, Yuwei (author), Huang, Haoliang (author), Wei, Jiangxiong (author), Yu, Qijun (author)
Impressed current cathodic protection (ICCP) is an effective corrosion protection and prevention technique for reinforced concrete structures served in chloride-contaminated environment. The acidification damage in the external anode mortar caused by the anodic reactions significantly influences the efficiency of ICCP for reinforced concrete....
conference paper 2021
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Abate, Alessandro (author), Blom, H.A.P. (author), Bouissou, Marc (author), Cauchi, Nathalie (author), Chraibi, Hassane (author), Delicaris, Joanna (author), Haesaert, Sofie (author), Hartmanns, Arnd (author), Ma, H. (author)
This report presents the results of a friendly competition for formal verification and<br/>policy synthesis of stochastic models. It also introduces new benchmarks within this category, and recommends next steps for this category towards next year's edition of the competition. The friendly competition took place as part of the workshop Applied...
conference paper 2021
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Abate, Alessandro (author), Blom, H.A.P. (author), Delicaris, Joanna (author), Haesaert, Sofie (author), Hartmanns, Arnd (author), van Huijgevoort, Birgit (author), Lavaei, Abolfazl (author), Ma, H. (author), Niehage, Mathis (author), Remke, Anne (author)
This report presents the results of a friendly competition for formal verification and policy synthesis of stochastic models. It also introduces new benchmarks and their properties within this category and recommends next steps for this category towards next year’s edition of the competition. In comparison with tools on non-probabilistic models,...
conference paper 2022
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Ma, X. (author), Copuroglu, Oguzhan (author), Schlangen, E. (author), Han, N (author), Xing, F (author)
External sulfate attack is one of the situations that may cause gradual but severe damage in cementitious materials, which may lead to cracking, increased permeability and strength loss. In this paper, thin-walled hollow cement paste cylinders with a wall thickness of 2.5mm were made considering the slow penetration process of sulfate ions under...
conference paper 2016
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Markine, V.L. (author), Liu, X. (author), Mashal, Abdul Ahad (author), Ma, Y. (author)
The paper presents an integrated approach for analysis and improvement of performance of railway crossings. The approach consists of a detailed finite element (FE) model of a wheel rolling over a crossing (validated against the measured crossing accelerations) and experimental tools installed on the crossings in situ. The studied crossings are...
conference paper 2017
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Ma, J. (author), Qian, QK (author), Ye, Q (author), Song, K. (author), Visscher, H.J. (author), Zhao, Q (author)
In 2006, China published the first National Evaluation Standard for Green Building (ESGB), which soon became the most widely spread evaluation system in the country. With the fast growth of urbanization, ESGB 2006 version no longer meets the current needs and requires an update. Based on the implementation outcomes of ESGB 2006 and expert...
conference paper 2016
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Thonet, Thibaut (author), Clinchant, Stéphane (author), Lassance, Carlos (author), Isufi, E. (author), Ma, Jiaqi (author), Xie, Yutong (author), Renders, Jean Michel (author), Bronstein, Michael (author)
Graph neural networks (GNNs) have recently gained significant momentum in the recommendation community, demonstrating state-of-the-art performance in top-k recommendation and next-item recommendation. Despite promising results on GNN-based recommendation and search, most of the current GNN research remains essentially concentrated on more...
conference paper 2021
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Draganov, D.S. (author), Ma, X. (author), Heller, H.K.J. (author), Kirichek, Alex (author)
Knowledge about the characteristics of fluid mud in ports and waterways would allow safer navigating through fluid mud. The properties of the fluid mud determine the feasibility of navigating vessels through the fluid mud. Seismic waves have the potential to help characterize the fluid-mud layers, especially when both P- and S-waves are used....
conference paper 2022
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Zhang, Xiaoyu (author), Chandrasegaran, R.S.K. (author), Ma, Kwan Liu (author)
Current text visualization techniques typically provide overviews of document content and structure using intrinsic properties such as term frequencies, co-occurrences, and sentence structures. Such visualizations lack conceptual overviews incorporating domain-relevant knowledge, needed when examining documents such as research articles or...
conference paper 2021
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Lovell-Prescod, Gervase H.L.H. (author), Ma, Z. (author), Smeur, E.J.J. (author)
Tailsitter Micro Air Vehicles with two rotors are promising due to their simplicity and efficient forward flight, but actuator saturation due to ineffective pitch control at a high angle of attack flight is a challenge limiting the flight envelope. This paper proposes a novel tilt-rotor tailsitter design which features two tilting rotors as...
conference paper 2023
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Trentin, Vinicius (author), Ma, Chenxu (author), Villagra, Jorge (author), Al-Ars, Z. (author)
Motion prediction is a key factor towards the full deployment of autonomous vehicles. It is fundamental in order to assure safety while navigating through highly interactive complex scenarios. In this work, the framework IAMP (Interaction-Aware Motion Prediction), producing multi-modal probabilistic outputs from the integration of a Dynamic...
conference paper 2023
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Ma, L. (author), Sanders, Jaron (author)
We study a classical model for the accumulation of errors in multi-qubit quantum computations. By modeling the error process in a quantum computation using two coupled Markov chains, we are able to capture a weak form of time-dependency between errors in the past and future. By subsequently using techniques from the field of discrete...
conference paper 2021
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Ma, X (author), Kato, Y (author), van Kempen, F.C.M. (author), Hirai, Y (author), Tsuchiya, T (author), van Keulen, A. (author), Tabata, O (author)
We report a multiple patterning approach utilizing digital-micromirror-device (DMD)-based grayscale lithography, providing a solution to improve fabrication accuracy for entire target three-dimensional structure. Because DMD-based lithography system consists a projection lens system, better resolution can be obtained around focal position...
conference paper 2015
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Zhou, Nan (author), Zhan, X. (author), Ma, Qiang (author), Lin, Song (author), Zhang, Jun (author), Zhang, Zi-Ke (author)
The rapid development of World Wide Web accelerates information spreading in various ways. Thanks to the emergence of multiple social platforms, some events which are not much attractive in the past can become social hot spots nowadays. In this paper, we study the information diffusion process of “IP MAN3 box office fraud”, which is widely...
conference paper 2018
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Dong, Y. (author), Chen, Kejia (author), Ma, Zhiyuan (author)
Condition-based maintenance is becoming increasingly important in hydraulic systems. However, anomaly detection for these systems remains challenging, especially since that anomalous data is scarce and labeling such data is tedious and even dangerous. Therefore, it is advisable to make use of unsupervised or semi-supervised methods, especially...
conference paper 2023
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Ma, X (author), Kato, Y (author), Hirai, Y (author), van Kempen, F.C.M. (author), van Keulen, A. (author), Tsuchiya, T (author), Tabata, O (author)
Digital Micromirror Device (DMD)-based grayscale lithography is a promising tool for three dimensional (3D) microstructuring of thick-film photoresist since it is a maskless process, provides possibility for the free-form of 3D microstructures, and therefore rapid and cost-effective microfabrication. However, process parameter determination...
conference paper 2015
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Xu, Jingyi (author), Li, Z. (author), Gao, Li (author), Ma, Junyi (author), Liu, Qi (author), Zhao, Yanan (author)
The deep reinforcement learning-based energy management strategies (EMS) have become a promising solution for hybrid electric vehicles (HEVs). When driving cycles are changed, the neural network will be retrained, which is a time-consuming and laborious task. A more efficient way of choosing EMS is to combine deep reinforcement learning (DRL)...
conference paper 2022
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Ahmad, T. (author), Ma, Chengxin (author), Al-Ars, Z. (author), Hofstee, H.P. (author)
Current cluster scaled genomics data processing solutions rely on big data frameworks like Apache Spark, Hadoop and HDFS for data scheduling, processing and storage. These frameworks come with additional computation and memory overheads by default. It has been observed that scaling genomics dataset processing beyond 32 nodes is not efficient on...
conference paper 2022
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Dong, Y. (author), Chen, Kejia (author), Peng, Yinxuan (author), Ma, Zhiyuan (author)
As the central nerve of the intelligent vehicle control system, the in-vehicle network bus is crucial to the security of vehicle driving. One of the best standards for the in-vehicle network is the Controller Area Network (CAN bus) protocol. However, the CAN bus is designed to be vulnerable to various attacks due to its lack of security...
conference paper 2022
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