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- 저자 : Shao Jianyu (검색결과 3 건)
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Mechanism on Computer Access Permission Management Based on the Proposed Dynamic Password Algorithm
Jiujun Cheng,Yang Yang,Jianyu Shao,Jingxue Liao 보안공학연구지원센터 2015 International Journal of Security and Its Applicat Vol.9 No.11
With the rapid development of information technology, personal computer privacy and permission management are becoming more and more important. Based on RSA encryption algorithm, we design a dynamic password encryption and codec algorithm, and propose a mechanism on computer access permission management which is capable of dealing with situations both online and offline. In the offline mode, administrators can authenticate users by matching their contact information to that registered in administrators’ mobile terminal. Generated by the co-work of a personal computer and a mobile terminal, the dynamic password makes cracking the password a trickier task. Permission control information is also added into the dynamic password, and file filter system will be loaded once the screen is successfully unlocked, so as to protect private directories or files from being accessed without authorization. In online mode, the system provides real-time video for identity verification, which makes the system more secure and convenient. Experiment results show that this dynamic password based mechanism on computer access permission management is efficient in dealing with existing problems in personal privacy and access permission management.
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Chun-Yin Lau,Jianyu Guan,Ho-Yin TSE,Chi Shun Yeung,Chiu Wing Shum,Shao-Yuan Leu 대한토목학회 2020 KSCE Journal of Civil Engineering Vol.24 No.5
Sulfide control is a vital issue affecting the regional air quality and operational safety in sewage treatment processes. The conventional sulfide removal techniques are sophisticated industrial processes which require large operational footprint or are related to hazardous chemicals. In this study, the performance of elemental sulfur recovery from a simple micro-aeration process with metal-TCPP ((5,10,15,20)-tetrakis-p-carboxyphenylporphyrin) was investigated through laboratory experiments. A minimum of fourfold enhancement of elemental sulfur recovery was achieved from sulfide dissolved wastewater with the addition of nickel (II) TCPP, which demonstrated the highest among seven various types of transition metal-porphyrin complexes in the 3d block elements. The optimized reaction conditions resulted in 72.53% sulfur recovery with the addition of only 4.5 ppm nickel into the solution. The catalyst significantly improves the recyclability and life-cycle of the water-based absorbent and provides benefits to odor control and resource recovery.
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A Model Predictive Current Control Based on Adaline Neural Network for PMSM
Li Hongfeng,Liu Zhengyu,Shao Jianyu 대한전기학회 2023 Journal of Electrical Engineering & Technology Vol.18 No.2
The parameter mismatch seriously affects the control performance of the model predictive current control (MPCC). Aiming at improving the parameter robustness of MPCC, a MPCC method based on Adaline neural network for permanent magnet synchronous motor (PMSM) is established. First, the parameters sensitivity analysis of PMSM incremental current prediction model is carried out that eliminates effects of rotor flux linkage mismatch and resistance mismatch. Therefore, a new incremental current prediction model is built, which does not require rotor flux and resistance parameters. Second, based on the above model, Adaline neural network strategy is introduced to identify the inductance parameters which has a variable momentum to improve accuracy. Then, the strategy proposed in this paper has strong robustness to parameter mismatch. Finally, experiment results verify that the proposed method can effectively improve the parameter robustness.
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