科研成果 by Type: Conference Paper

In face of the critical endurance issue, for the first time we take a holistic perspective to co-optimize the ferroelectric materials and interlayer in FeFET. Compared to the common HZO based gate stack, the novel combination of Hf0.95 Al0.05 O2+Al2 O3 enhances the endurance to $\gt 5 \times 10 ^9$ cycles while maintaining a retention > 10 years. In-depth analysis based on DFT and DQSCV reveal the reduction of interlayer electric field and interface charge trapping as the mechanism of optimization. We also develop a distributed interface trap model to correlate different trapping dynamics with the interlayer property in each device. This work pushes forward the understanding and development of high endurance strategy for FeFET.

Gladiatorial spectacles became an integral part of the Roman experience in the second century CE. Texts such as the Martyrdom of Polycarp (6-19) help illucidate the details of gladiation in Smyrna and the medical treatises of Galen (13.599; 18B. 567) discuss flesh wounds suffered at Pergamon. A considerable amount of inscriptions that offer skeletal information and its spread in the Greek-speaking part of the Roman empire (Robert 1971; Mann 2011). What is less clear is how spectacles were actually arranged, who attended and participated. This paper wishes to take a closer look at the two questions through the lens of Lucian's tale of a gladiatorial duel in Toxaris or On Friendship. Toxaris is Lucian's Scythian persona who claimed to have been saved by a friend called Sisinnes. The two of them found their possessions stolen at Amastris, and Sisinnes volunteered to fight at a local gladiatorial event for money and won a large sum that more than recuperated their losses. Lucian’s clear fondness for Amastris elsewhere and his vignette here suggests an attempt to create resonance with an Amastrian audience, whom he addresses at the end of the story ( Luc. Tox. 60; Cumont 1903: 274 fn. 5; Kokolakis 1958: 335-343). This paper would like to suggest that Lucian’s narrative provides us with a version of what his knowledgeable Amastrian audience would have expected a gladiatorial spectacle to be like, as well as how local variations may have been a separate driver of gladiation's popularity in different Anatolian localities. Bibliography Cumont, F. 1903. "Gladiateurs et Acteurs dans le Pont." Festschrift Zu Otto Hirschfelds Sechzigsten Geburtstage. Nabu Press. Kokolakis, M. 1958. "Gladiatorial Games and Animal-Baiting in Lucian." Platon 10: 328-349. Mann, C. 2011. "Um keinen Kranz, um das Leben kämpfen wir!" Gladiatoren im Osten des Römischen Reiches und die Frage der Romanisierung. Berlin, Verlag Antike. Robert, L. Les gladiateurs dans l'orient Grec. Amsterdam, Adolf Hakkert.

The compression of three-dimensional sound field signals has always been a very important issue. Recently, an Independent Component Analysis (ICA) based Higher Order Ambisonics (HOA) compression method introduces blind source separation to solve the shortcomings of discontinuity between frames in the existing Singular Value Decomposition (SVD) based methods. However, ICA is weak to model the reverberant environment, and its target is not to recover original signal. In this work, we replace ICA with autoencoder to further improve the above method’s ability to cope with reverberation conditions and ensure the unanimous optimization both in separation and recovery by reconstruction loss. We constructed a dataset with simulated and recorded signals, and verified the effectiveness of our method through objective and subjective experiments.

The novel working principle enables spiking cameras to capture high-speed moving objects. However, the applications of spiking cameras can be affected by many factors, such as brightness intensity, detectable distance, and the maximum speed of moving targets. Improper settings such as weak ambient brightness and too short object-camera distance, will lead to failure in the application of such cameras. To address the issue, this paper proposes a modeling algorithm that studies the detection capability of spiking cameras. The algorithm deduces the maximum detectable speed of spiking cameras corresponding to different scenario settings (e.g., brightness intensity, camera lens, and object-camera distance) based on the basic technical parameters of cameras (e.g., pixel size, spatial and temporal resolution). Thereby, the proper camera settings for various applications can be determined. Extensive experiments verify the effectiveness of the modeling algorithm. To our best knowledge, it is the first work to investigate the detection capability of spiking cameras.