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Yuan, Cadmus (author), de Jong, S.D.M. (author), van Driel, W.D. (author)
The demand for rapid advancement in AI, mobile and automotive markets is pushing the boundaries of electronic packaging, including heterogeneous integration, high-power packages, and large-die packaging. Against this backdrop, machine learning technologies emerge as dynamic tools for correlation building and classification, revolutionizing the...
conference paper 2024
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Yuan, S. (author), Zhang, Z. (author), Fieback, M. (author), Xun, H. (author), Marinissen, E. J. (author), Kar, G. S. (author), Rao, S. (author), Couet, S. (author), Taouil, M. (author), Hamdioui, S. (author)
The development of Spin-Transfer Torque Magnetic RAMs (STT-MRAMs) mass production requires high-quality test solutions. Accurate and appropriate fault modeling is crucial for the realization of such solutions. This paper targets fault modeling and test generation for all interconnect and contact defects in STT-MRAMs and shows that using the...
conference paper 2023
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Yuan, S. (author), Taouil, M. (author), Fieback, M. (author), Xun, H. (author), Marinissen, Erik Jan (author), Kar, Gouri Sankar (author), Rao, Sidharth (author), Couet, Sebastien (author), Hamdioui, S. (author)
The development of Spin-transfer torque magnetic RAM (STT-MRAM) mass production requires high-quality dedicated test solutions, for which understanding and modeling of manufacturing defects of the magnetic tunnel junction (MTJ) is crucial. This paper introduces and characterizes a new defect called Back-Hopping (BH); it also provides its...
conference paper 2023
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Xun, H. (author), Fieback, M. (author), Yuan, S. (author), Zhang, Ziwei (author), Taouil, M. (author), Hamdioui, S. (author)
Resistive Random Access Memory (RRAM) is a potential technology to replace conventional memories by providing low power consumption and high-density storage. As various manufacturing vendors make significant efforts to push it to high-volume production and commercialization, high-quality and efficient test solutions are of great importance. This...
conference paper 2023
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Yuan, Henan (author), Li, Penghui (author), van Arem, B. (author), Kang, Liujiang (author), Farah, H. (author), Dong, Y. (author)
Traffic scenarios in roundabouts pose substantial complexity for automated driving. Manually mapping all possible scenarios into a state space is labor-intensive and challenging. Deep reinforcement learning (DRL) with its ability to learn from interacting with the environment emerges as a promising solution for training such automated driving...
conference paper 2023
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Xun, H. (author), Fieback, M. (author), Yuan, S. (author), Aziza, Hassen (author), Heidekamp, Mathijs (author), Copetti, Thiago (author), Poehls, Leticia Bolzani (author), Taouil, M. (author), Hamdioui, S. (author)
Resistive Random Access Memories (RRAMs) are being commercialized with significant investment from several semiconductor companies. In order to provide efficient and high-quality test solutions to push high-volume production, a comprehensive understanding of manufacturing defects is significantly required. This paper identifies and characterizes...
conference paper 2023
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Aouichi, A. (author), Yuan, S. (author), Fieback, M. (author), Rao, Siddharth (author), Kim, Woojin (author), Marinissen, Erik Jan (author), Couet, Sebastien (author), Taouil, M. (author), Hamdioui, S. (author)
Spin-Transfer Torque Magnetic RAMs (STT-MRAMs) are on their way to commercialization. However, obtaining high-quality test and diagnosis solutions for STT-MRAMs is challenging due to the existence of unique defects in Magnetic Tunneling Junctions (MTJs). Recently, the Device-Aware Test (DA-Test) method has been put forward as an effective...
conference paper 2023
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Xun, H. (author), Yuan, S. (author), Fieback, M. (author), Taouil, M. (author), Hamdioui, S. (author), Aziza, Hassen (author)
Many companies are heavily investing in the commercialization of Resistive Random Access Memories (RRAMs). This calls for a comprehensive understanding of manufacturing defects to develop efficient and high-quality test and diagnosis solutions to push high-volume production. This paper identifies and characterizes a new defect based on silicon...
conference paper 2023
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Wang, S. (author), Tan, Yanlong (author), Liu, Xu (author), Li, Shizhen (author), Liu, Ke (author), Yuan, Wucheng (author), Li, Tao (author), Zhang, Kouchi (author), French, P.J. (author), Ye, Huaiyu (author), Tan, Chunjian (author)
In this article, the avalanche withstand capability and transient failure model of commercial 1200 V asymmetric trench gate SiC MOSFETs are investigated by experiment and simulation under single-pulse unclamped inductive switching (UIS) conditions. The limiting avalanche current and limiting avalanche energy of the device are determined by...
conference paper 2023
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Yuan, S. (author), Fioranelli, F. (author), Yarovoy, Alexander (author)
The ambiguity problem in forward-looking Doppler beam sharpening is considered. Doppler beam sharpening (DBS) has shown its potential to improve cross-range resolution for automotive radar applications. However, it suffers from ambiguities when targets are positioned symmetrically with respect to the vehicle trajectory. A new approach named ...
conference paper 2023
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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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Liu, Ke (author), Yuan, Wucheng (author), Wang, S. (author), Tan, C. (author), Ye, H. (author)
In this paper, a novel bubble-shift super junction (SJ) MOSFET structure is proposed, and its main static electrical parameters and reverse recovery characteristics are simulated by TCAD software tool. By designing the P-pillar ion implantation windows with a certain offset, the bubble-shift SJ-MOSFET contains a curved pillar region in the upper...
conference paper 2022
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Yuan, Wucheng (author), Liu, Ke (author), Wang, S. (author), Tan, C. (author), Ye, H. (author)
The limitation of Silicon based power MOSFET was broken by the super-junction (SJ) structure, which can provide lower specific on-resistance and higher breakdown voltage compared with the conventional power MOSFET structure. Multi-epitaxial and multi-ion-implant technology, as a mature manufacturing process of the SJ structure, has been widely...
conference paper 2022
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Liu, Qi (author), Li, Z. (author), Li, Xueyuan (author), Wu, Jingda (author), Yuan, Shihua (author)
A reliable multi-agent decision-making system is highly demanded for safe and efficient operations of connected and autonomous vehicles (CAVs). In order to represent the mutual effects between vehicles and model the dynamic traffic environments, this research proposes an integrated and open-source framework to realize different Graph...
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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Yuan, S. (author), Fioranelli, F. (author), Yarovoy, Alexander (author)
A method exploiting the movement of the vehicle to boost the cross-range resolution of automotive radar by forming a larger virtual array is proposed. Initial simulated results show that the proposed method with the traditional Digital beamforming (DBF) algorithm can separate targets that cannot be otherwise recognized by the traditional MIMO...
conference paper 2022
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Yuan, S. (author), Fioranelli, F. (author), Yarovoy, Alexander (author)
A direction-finding approach for arrays with a limited number of antenna elements has been investigated. A method based on the harmonic analysis of the received signal has been proposed to solve it. The angle estimation accuracy has been improved by angle searching and peak detection. The proposed method is theoretically described and...
conference paper 2022
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Yuan, K. (author), Knoop, V.L. (author), Zwaal, B.A. (author), van Lint, J.W.C. (author)
With the renewed interest in the Macroscopic Fundamental Diagram (MFD) in the last decade, studies on network-level urban traffic control have increased in popularity. A popular urban traffic control approach is perimeter control, in which vehicle accumulation is kept below some critical accumulation value. An alternative control strategy is to...
conference paper 2020
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Garbatov, Y. (author), Ås, S.K. (author), Branner, Kim (author), Choi, B.K. (author), den Besten, J.H. (author), Dong, P. (author), Lillemäe, I. (author), Lindstrom, P. (author), Lourenço de Souz, M. (author), Parmentier, G. (author), Quéméner, Y. (author), Rizzo, C.M. (author), Rörup, J. (author), Vhanmane, Suhas (author), Villavicencio, R. (author), Wang, F. (author), Yuan, Yue (author)
Concern for crack initiation and growth under cyclic loading as well as unstable crack propagation and tearing in the ship and offshore structures. Due attention shall be paid to the suitability and uncertainty of physical models and testing. Consideration is to be given to practical application, statistical description and fracture control...
conference paper 2018
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