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Zheng, Yubo (author), Xu, Peng (author), Wang, Wei (author), Chen, Tianyang (author), Susilo, Willy (author), Liang, K. (author), Jin, Hai (author)
Many practical secure systems have been designed to prevent real-world attacks via maximizing the attacking cost so as to reduce attack intentions. Inspired by this philosophy, we propose a new concept named delay encryption with keyword search (DEKS) to resist the notorious keyword guessing attack (KGA), in the context of secure cloud-based...
conference paper 2022
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Zhao, Zhendong (author), Chen, Xiaojun (author), Xuan, Yuexin (author), Dong, Ye (author), Wang, Dakui (author), Liang, K. (author)
Backdoor attack is a type of serious security threat to deep learning models. An adversary can provide users with a model trained on poisoned data to manipulate prediction behavior in test stage using a backdoor. The backdoored models behave normally on clean images, yet can be activated and output incorrect prediction if the input is stamped...
conference paper 2022
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Fan, Jiajie (author), Qian, Yichen (author), Chen, Wei (author), Jiang, Jing (author), Tang, Zhuorui (author), Fan, Xuejun (author), Zhang, Kouchi (author)
A fan-out panel-level packaging (FOPLP) with an embedded redistribution layer (RDL) via interconnection reduces the size, thermal resistance, and parasitic inductance of power module packaging. In this study, the effect of the RDL via size on the reliability of a FOPLP SiC MOSFET power module was investigated. To improve the thermal management...
conference paper 2022
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Lee, Y. (author), Chen, H. (author), Zhao, Guoying (author), Specht, M.M. (author)
Human attention is critical yet challenging cognitive process to measure due to its diverse definitions and non-standardized evaluation. In this work, we focus on the attention self-regulation of learners, which commonly occurs as an effort to regain focus, contrary to attention loss. We focus on easy-to-observe behavioral signs in the real...
conference paper 2022
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Yue, X. (author), Zou, Yiwei (author), Chen, Zhelun (author), Liang, Junrui (author), Du, S. (author)
Synchronized switch harvesting on inductor (SSHI) is an efficient active rectifier to extract energy generated from piezoelectric transducer in piezoelectric energy harvesting system. Unlike passive rectifiers, SSHI rectifiers require a power supply to drive synchronized switches. Unfortunately, there is no stable supply when the system starts...
conference paper 2022
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Liang, Yansong (author), Wang, Ruizhi (author), Chen, Zhongsheng (author), Du, S. (author)
This paper presents a boost converter for thermo-electric energy harvesting with photovoltaic (PV)-assisted startup. The converter employs a new two-phase startup architecture and the PV cell is used in the first phase to provide an initial high voltage for startup. This high voltage drives the boost converter to charge a startup capacitor,...
conference paper 2022
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Styczen, MacIej (author), Chen, Bing Jyue (author), Teng, Ya Wen (author), Pignolet, Yvonne Anne (author), Chen, Lydia Y. (author), Yang, De Nian (author)
When spreading information over social networks, seeding algorithms selecting users to start the dissemination play a crucial role. The majority of existing seeding algorithms focus solely on maximizing the total number of reached nodes, overlooking the issue of group fairness, in particular, gender imbalance. To tackle the challenge of...
conference paper 2022
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Yue, X. (author), Chen, Zhelun (author), Zou, Yiwei (author), Du, S. (author)
Ultrasonic wireless power transfer (WPT) has been proved to be a promising approach to power biomedical implants. To extract the energy generated from the transducer, a rectifier is typically required. Previous inductor-based rectifiers (SSHI and SECE) require a large off-chip inductor to achieve good performance, which is not desired for...
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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Chen, Haixue (author), Zhang, Jing (author), Zhang, Kouchi (author), Liu, Pan (author)
Nanosilver pastes have been regarded as the most promising die-attach materials for high-temperature and high-power applications due to their advantages such as excellent thermal conductivity, electrical conductivity, high temperature resistance, and good shear strength. However, the common hot pressing sintering process for nanosilver pastes...
conference paper 2022
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Chen, Peiran (author), Calis, Metin (author), Wijkstra, Hessel (author), Huang, Pintong (author), Hunyadi, Borbala (author), Mischi, Massimo (author)
A cost-effective, widely available, and practical diagnostic imaging tool for prostate cancer (PCa) localization is still lacking. Recently, the contrast-ultrasound dispersion imaging (CUDI) technique has been developed for PCa localization by quantifying dynamic contrast-enhanced ultrasound (DCE-US) acquisitions. Tissue stiffness is an...
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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Chen, Hang (author), Zhou, Hengshun (author), Du, Jun (author), Lee, Chin-Hui (author), Chen, Jingdong (author), Watanabe, Shinji (author), Siniscalchi, Sabato Marco (author), Scharenborg, O.E. (author), Liu, Di-Yuan (author)
In this paper we discuss the rational of the Multi-model Information based Speech Processing (MISP) Challenge, and provide a detailed description of the data recorded, the two evaluation tasks and the corresponding baselines, followed by a summary of submitted systems and evaluation results. The MISP Challenge aims at tack-ling speech processing...
conference paper 2022
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Feng, Shuo (author), Jiang, Tao (author), Chen, Wei (author), Fan, Xuejun (author), Zhang, Kouchi (author), Fan, Jiajie (author)
As a core packaging material of light color conversion, phosphor/silicone composite plays an indispensable role in light emitting diode (LED) packaging. At present, commercial LED packages mainly use blue LED chips to stimulate Yttrium Aluminum Garnet (YAG) yellow phosphor to reach a white color. However, (Ca,Sr)AlSiN 3 :Eu 2+ (CSASN) red...
conference paper 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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Zhu, Yujin (author), Zhao, Z. (author), Birke, Robert (author), Chen, Lydia Y. (author)
Tabular data synthesis is an emerging approach to circumvent strict regulations on data privacy while discovering knowledge through big data. Although state-of-the-art AI-based tabular data synthesizers, e.g., table-GAN, CTGAN, TVAE, and CTAB-GAN, are effective at generating synthetic tabular data, their training is sensitive to column...
conference paper 2022
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Gu, Guanjie (author), Yang, Changgui (author), Li, Zhuhao (author), Feng, Xiangdong (author), Chang, Ziyi (author), Wang, Ting-Hsun (author), Zhang, Yunshan (author), Luo, Yuxuan (author), Zhang, Hong (author), Wang, Ping (author), Du, S. (author), Chen, Yong (author), Zhao, Bo (author)
Body Channel Communication (BCC) offers a low-loss signal transmission medium for ultra-low-power wearable devices on human body [1]. However, the effective communication range on human body is limited to less than 1m in the state-of-the-art BCC transceivers [2], where the signal loss at the interface of body surface and BCC receiver remains to...
conference paper 2022
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Piazzoni, Andrea (author), Vijay, Roshan (author), Cherian, Jim (author), Chen, Lyu (author), Dauwels, J.H.G. (author)
The worldwide development of Autonomous Vehicles (AVs) has also encouraged the use of software simulators for virtual testing of AVs. However, the effectiveness of the AV simulators is constrained by numerous challenges, such as their computational cost and lack of fidelity in specific areas. In this paper, we describe the modality of virtual...
conference paper 2022
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Wu, Han (author), Zhao, Z. (author), Chen, Lydia Y. (author), van Moorsel, Aad (author)
Federated Learning (FL) has emerged as a potentially powerful privacy-preserving machine learning method-ology, since it avoids exchanging data between participants, but instead exchanges model parameters. FL has traditionally been applied to image, voice and similar data, but recently it has started to draw attention from domains including...
conference paper 2022
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Chen, P.Y. (author)
This project proposes a different way of looking at AI alignment, namely by introducing AI Alignment Dialogues. We argue that alignment dialogues have a number of advantages in comparison to data-driven approaches, especially for behaviour support agents, which aim to support users in achieving their desired future behaviours rather than...
conference paper 2022
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