Visible to the public Biblio

Filters: Author is Fan, J.  [Clear All Filters]
2021-03-22
Penugonda, S., Yong, S., Gao, A., Cai, K., Sen, B., Fan, J..  2020.  Generic Modeling of Differential Striplines Using Machine Learning Based Regression Analysis. 2020 IEEE International Symposium on Electromagnetic Compatibility Signal/Power Integrity (EMCSI). :226–230.
In this paper, a generic model for a differential stripline is created using machine learning (ML) based regression analysis. A recursive approach of creating various inputs is adapted instead of traditional design of experiments (DoE) approach. This leads to reduction of number of simulations as well as control the data points required for performing simulations. The generic model is developed using 48 simulations. It is comparable to the linear regression model, which is obtained using 1152 simulations. Additionally, a tabular W-element model of a differential stripline is used to take into consideration the frequency-dependent dielectric loss. In order to demonstrate the expandability of this approach, the methodology was applied to two differential pairs of striplines in the frequency range of 10 MHz to 20 GHz.
2019-10-08
Liu, Y., Yuan, X., Li, M., Zhang, W., Zhao, Q., Zhong, J., Cao, Y., Li, Y., Chen, L., Li, H. et al..  2018.  High Speed Device-Independent Quantum Random Number Generation without Detection Loophole. 2018 Conference on Lasers and Electro-Optics (CLEO). :1–2.

We report a an experimental study of device-independent quantum random number generation based on an detection-loophole free Bell test with entangled photons. After considering statistical fluctuations and applying an 80 Gb × 45.6 Mb Toeplitz matrix hashing, we achieve a final random bit rate of 114 bits/s, with a failure probability less than 10-5.

2017-03-08
Guo, Q., Fan, J., Li, N..  2015.  The achieve of power manager application honey-pot based on sandbox. 2015 5th International Conference on Electric Utility Deregulation and Restructuring and Power Technologies (DRPT). :2523–2527.

Honeypot is a common method of attack capture, can maximize the reduction of cyber-attacks. However, its limited application layer simulation makes it impossible to use effectively in power system. Through research on sandboxing technology, this article implements the simulated power manager applications by packaging real power manager applications, in order to expand the honeypot applied range.