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The paper simulated the SEL happening process of the CMOS inverter fabricated the 0.18um technology. The results show that the intrinsic parasitic lateral NPN (QN) and PNP (QP) transistor of the NMOS and PMOS in the CMOS inverter, which could result in the changes of the voltage and the current of the drain when the SEL happening, can delay latch up(More)
Department of Physiology and Brain Research Institute, School of Medicine 8 Chungnam National University, Daejeon 301-131, Korea 9 Department of Physiology, Medical College of Georgia, Augusta, USA 10 Department of Pharmacology, College of Veterinary Medicine, Seoul National 11 University, Seoul, Korea 12 Department of Oral Physiology, School of Dentistry,(More)
Space intelligent robotic systems are expected to play an increasingly important role in the future. The robotic on-orbital service, whose key is the tracking and capturing technology, becomes research hot in recent years. In this paper, the authors propose a vision servo control system for target capturing. Robotic manipulator will be an intelligent(More)
This paper mainly simulated the single event latch-up (SEL) for the CMOS inverter under the 0.18um technology. The SEL of integrated circuit (IC) was also analyzed in detail. The result showed that the parasitic lateral transistors NPN and PNP of NMOS and PMOS play a role in the SEL happening process. The changes of the drain voltage and the drain current(More)
Privilege escalation attack is one of the serious threats to Linux. So the protection of the root user is an important requirement for Linux systems and SELinux has tackled this issue in some degree. But by exploiting kernel privilege-escalation vulnerabilities, the attackers can tamper security identifiers allocated for the process's security contexts,(More)
This paper combines with Kafang’s engineering practice of Xinshan mining area, makes crater tests, and then determines the blasting parameters under experimental conditions. Train the key stakeholders blasting parameters both at home and abroad based on the BP artificial neural network (ANN) model. On the basis that the best charge depth is 1.09m(More)
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