Zobrazeno 1 - 10
of 921
pro vyhledávání: '"Cong, Wang"'
Autor:
Zhengxiang Zhou, Cong Wang
Publikováno v:
IEEE Open Journal of the Computer Society, Vol 5, Pp 95-106 (2024)
Fuzzers have proven to be a vital tool in identifying vulnerabilities. As an area of active research, there is a constant drive to improve fuzzers, and it is equally important to improve benchmarks used to evaluate their performance alongside evolvin
Externí odkaz:
https://doaj.org/article/06f3e8058d694fcc98d7ebe7d7cd915a
Publikováno v:
IEEE Open Journal of Antennas and Propagation, Vol 5, Iss 2, Pp 430-436 (2024)
To achieve a low-profile, wide-bandwidth, and highly selective design, this paper presents a substrate integrated suspended line (SISL) based broadband filtering dielectric resonator antenna (DRA) with the improvement of suppression level. The dielec
Externí odkaz:
https://doaj.org/article/57454cd7009d4191ad30c5540d69df08
Publikováno v:
IEEE Access, Vol 12, Pp 14437-14454 (2024)
Fuzz testing is a vulnerability discovery technique that tests the robustness of target programs by providing them with unconventional data. With the rapid increase in software quantity, scale and complexity, traditional fuzzing has revealed issues s
Externí odkaz:
https://doaj.org/article/20e0962fb70e4bdcb46167cfd8bb9617
Publikováno v:
IEEE Access, Vol 11, Pp 132544-132556 (2023)
In the face of explosive growth of wireless data and electronic devices, cognitive radio (CR) technology is an effective solution to identify spectrum resources underutilized by the primary user (PU). Moreover, cooperative spectrum sensing (CSS) is t
Externí odkaz:
https://doaj.org/article/1fd93006368648bb8566405aca69e35d
Autor:
Zhengxiang Zhou, Cong Wang
Publikováno v:
IEEE Open Journal of the Computer Society, Vol 4, Pp 206-217 (2023)
Fuzzing, an automated software testing technique, has achieved remarkable success in recent years, aiding developers in identifying vulnerabilities. However, fuzzing can also be exploited by attackers to discover zero-day vulnerabilities. To counter
Externí odkaz:
https://doaj.org/article/2c51b706df8d4588aaca08cdf51c455c
Autor:
Jia-Kang Wu, Ying-Ying Ji, Jun-Ge Liang, Yu-Ting Chen, Cong Wang, Cheng Qian, Yang-Fan Sun, Cai-Li Ren, Svetlana Von Gratowski
Publikováno v:
IEEE Access, Vol 11, Pp 72306-72315 (2023)
Far-field detection has been widely used in biomedical diagnosis, security inspection, such as MRI, ultrasonic, SPECT, X-ray, etc. However, the near-field detection has yet to be well established. This paper proposed a sensor structure with series in
Externí odkaz:
https://doaj.org/article/56aa5db8d52e421d857a802811c6938c
Autor:
Mengyao Lu, Cong Wang, Wenbiao Wu, Dinglian Zhu, Qiang Zhou, Zhiyong Wang, Tian'en Chen, Shuwen Jiang, Dong Chen
Publikováno v:
IEEE Access, Vol 11, Pp 68153-68170 (2023)
At present, tobacco leaf grading relies mainly on manual classification, which is highly intensive with respect to labor, materials, and cost; in addition, the performance of manual grading is poor. The realization of automatic grading is an urgent r
Externí odkaz:
https://doaj.org/article/f52edc549d4d4fa4b13451e3dd184d17
Autor:
Zhangkai Chen, Rui Chen, Yajie Yang, Huiqin Pan, Qiaoyun Xie, Cong Wang, Baodong Xu, Gaofei Yin
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 4371-4382 (2023)
Spring phenology is a critical indicator to characterize vegetation dynamics and their responses to climate change. Spring phenology on the Tibetan Plateau (TP) has received extensive attentions as it has experienced one of the most rapid warmings. W
Externí odkaz:
https://doaj.org/article/4d8a3a1694fa48bfb441f973248758e9
Publikováno v:
IEEE Open Access Journal of Power and Energy, Vol 10, Pp 187-194 (2023)
Dynamic contingency analysis (DCA) for modern power systems is fundamental to help researchers and operators look ahead of potential issues, arrange operational plans, and improve system stabilities. However, since the system size and the number of c
Externí odkaz:
https://doaj.org/article/ac566d72f1df4942bd1edb0881f05ec8
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 9584-9598 (2022)
Crop rotation increases crop yield, improves soil health, and reduces plant disease. Mapping crop rotation is difficult because crop data from a single time point do not sufficiently represent the dynamics of a system. Studies have tried to map crop
Externí odkaz:
https://doaj.org/article/acec20c40a424bfaa2644def51c3b11b