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Yu, Weijian (author), Yang, J. (author), Yang, Dingqi (author)
Modern Knowledge Graphs (KGs) are inevitably noisy due to the nature of their construction process. Existing robust learning techniques for noisy KGs mostly focus on triple facts, where the factwise confidence is straightforward to evaluate. However, hyperrelational facts, where an arbitrary number of key-value pairs are associated with a base...
conference paper 2024
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Zhang, Xiaoxi (author), Pan, Yongjun (author), Cao, Yangzheng (author), Liu, Binghe (author), Yu, X. (author)
The swift advancement of electric vehicle technology has led to increased requirements for ensuring the safety of batteries. Various models for predicting battery life and aging have been introduced to facilitate the appropriate utilization of batteries. Timely prediction and alert systems for identifying potential battery failure due to...
journal article 2024
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Yu, Y. (author), De Herdt, Lode (author), Shekhar, A. (author), Chandra Mouli, G.R. (author), Bauer, P. (author)
The rising demand for electric vehicles (EVs) in the face of limited grid capacity encourages the development and implementation of smart charging (SC) algorithms. Experimental validation plays a pivotal role in advancing this field. This article formulates a hierarchical mixed integer programming EV SC algorithm designed for low voltage (LV)...
journal article 2024
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Li, Qiang (author), Li, Gaofeng (author), Yu, Chuang (author), Luo, Shan (author), Ding, J. (author)
contribution to periodical 2024
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Yu, C. (author)
The study of the light field has become a valuable framework for capturing and analysing the complex distribution of light in natural environments. The directional, spatial, temporal and spectral structure of light, collectively influence the optical information available to an observer and thus impact our perception of the surrounding world....
doctoral thesis 2023
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Wei, Ziyi (author), Huang, Kai (author), Chen, Ying (author), Wang, D. (author), Yu, Yajuan (author), Xu, Ming (author), Kapelan, Z. (author)
To alleviate the geographical mismatch between supply and demand of water resources, virtual water trade had attracted extensive attention. Many studies had estimated the virtual water flow and measured the virtual water inequality using Environmental Input-Output (EIO) model. However, EIO model ignores the feedback effect in the trade, which...
journal article 2023
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Asenso Barnieh, Beatrice (author), Jia, Li (author), Menenti, M. (author), Yu, Le (author), Nyantakyi, Emmanuel Kwesi (author), Kabo-Bah, Amos Tiereyangn (author), Jiang, Min (author), Zhou, Jie (author), Lv, Yunzhe (author)
Land Use/Land Cover (LULC) change is a major global concern and a topic of scientific debate. In West Africa, the key trend among the changes of the past few years is the loss of natural vegetation related to changes in different LULC categories, e.g., water bodies, wetland, and bare soil. However, not all detected changes in these LULC...
journal article 2023
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Ishihara, R. (author), Hermias, J. (author), Neji, S. (author), Yu, K.Y. (author), van der Maas, M.C. (author), Nur, S. (author), Iwai, T. (author), Miyatake, T. (author), Miyahara, S. (author)
Quantum computer chip based on spin qubits in diamond uses modules that are entangled with on-chip optical links. This enables an increased connectivity and a negligible crosstalk and error-rate when the number of qubits increases onchip. Here, 3D integration is the key enabling technology for a large-scale integration of the diamond spin...
conference paper 2023
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Yu, C. (author), Wijntjes, M.W.A. (author), Eisemann, E. (author), Pont, S.C. (author)
We present a method to capture the 7-dimensional light field structure, and translate it into perceptually-relevant information. Our spectral cubic illumination method quantifies objective correlates of perceptually relevant diffuse and directed light components, including their variations over time, space, in color and direction, and the...
journal article 2023
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Yu, H.Y. (author), de Croon, G.C.H.E. (author), de Wagter, C. (author)
Obstacle avoidance is an essential topic in the field of autonomous drone research. When choosing an avoidance algorithm, many different options are available, each with their advantages and disadvantages. As there is currently no consensus on testing methods, it is quite challenging to compare the performance between algorithms. In this...
conference paper 2023
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Yu, Haoyuan (author), Zhang, Hanwen (author), Wang, Yanbo (author), Qin, Z. (author), Chen, Zhe (author), Bauer, P. (author)
This article investigates the stability of triple active bridge (TAB) converter with different types of loads. In this paper, port2 of TAB converter adopts voltage control to supply a constant power load (CPL), and port3 uses voltage control to supply a resistor or uses current control to supply a battery. Then, an extra element theorem-based ...
conference paper 2023
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Yu, G. (author), Dong, J. (author), Soeiro, Thiago B. (author), Bauer, P. (author)
This paper introduces variable-frequency zero voltage switching (ZVS) modulation strategy for the four-switch buck+boost converter with one operating pattern for the inductor current, i.e., three-segment inductor current modulation control. The proposed modulation scheme guarantees a smooth transition from step-up to step-down or from step-down...
conference paper 2023
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Damianakis, Nikolaos (author), Yu, Y. (author), Bauer, P. (author)
Smart-Charging of Electric Vehicles (EVs) is able to provide frequency regulation capacity services to the System Operator (SO) upon an automation generation control (AGC) signal. While the amount of available regulation capacity is of-fered in the Day-Ahead Market (DAM), there is high uncertainty on the actual amount of reserves that will be...
conference paper 2023
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Yu, Beiyang (author), Varkey, D. (author), van den Eijnden, A.P. (author), Rongier, G. (author), Hicks, M.A. (author)
This research focuses on investigating the relative performance of a range of machine learning algorithms, namely the artificial neural network, support vector machine, Gaussian process regression, random forest, and XGBoost, for predicting the undrained shear strength from cone penetration test data. This is to assess how machine learning could...
conference paper 2023
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Yu, Hsinko Cinco (author)
This study examines the issue of publicness and the practice of public participation in urban regeneration through municipal-led social housing as an approach to urban regeneration. The study examines the case of Taipei through the project process and deliberations to understand the communication and decision-making patterns of the project,...
conference paper 2023
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Liu, Huan (author), Wang, Shilei (author), Jing, Guoqing (author), Yu, Ziye (author), Yang, Jin (author), Zhang, Yong (author), Guo, Y. (author)
Vehicle-mounted ground-penetrating radar (GPR) has been used to non-destructively inspect and evaluate railway subgrade conditions. However, existing GPR data processing and interpretation methods mostly rely on time-consuming manual interpretation, and limited studies have applied machine learning methods. GPR data are complex, high...
journal article 2023
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Zhu, Yifan (author), Lu, Huimin (author), Wang, Jianping (author), Yu, Tongjun (author), Li, Z.Z.L. (author), Tian, Yucheng (author)
In order to improve the light extraction of AlGaN-based short wavelength ultraviolet light emitting diodes (DUC-LEDs), a type of microstructure with high aspect ratio is introduced and optimized on the AlN substrate surface. And, particle swarm optimization (PSO) algorithm is used to inverse design of the surface microstructure to maximize...
journal article 2023
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Sun, Zhu (author), Fang, Hui (author), Yang, J. (author), Qu, Xinghua (author), Liu, Hongyang (author), Yu, Di (author), Ong, Yew Soon (author), Zhang, Jie (author)
Recently, one critical issue looms large in the field of recommender systems - there are no effective benchmarks for rigorous evaluation - which consequently leads to unreproducible evaluation and unfair comparison. We, therefore, conduct studies from the perspectives of practical theory and experiments, aiming at benchmarking recommendation...
journal article 2023
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Huang, Y. (author), Yu, Suihuai (author), Chu, Jianjie (author), Su, Zhaojing (author), Zhu, Yaokang (author), Wang, Hanyu (author), Wang, Mengcheng (author), Fan, Hao (author)
Design knowledge is critical to creating ideas in the conceptual design stage of product development for innovation. Fragmentary design data, massive multidisciplinary knowledge call for the development of a novel knowledge acquisition approach for conceptual product design. This study proposes a Design Knowledge Graph-aided (DKG-aided)...
journal article 2023
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Yu, Taoyi (author), Khaloian-Sarnaghi, Ani (author), Seeber, Franziska (author), van de Kuilen, J.W.G. (author)
When curved glulam beams are subjected to bending, tension perpendicular to grain is introduced. In this work, Monte-Carlo analysis is conducted to study the influence of the annual-ring orientation of individual board on stress concentration in the radial direction. A virtual cutting program is developed which simulates the sawing processes...
journal article 2023
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