We utilized Raspberry Pi 4B to develop a microbial monitoring system to simplify the microbial image-capturing process and facilitate the informatization of microbial observation results.The Raspberry Pi 4B firmware,d...We utilized Raspberry Pi 4B to develop a microbial monitoring system to simplify the microbial image-capturing process and facilitate the informatization of microbial observation results.The Raspberry Pi 4B firmware,developed under Python on the Linux platform,achieves sum verification of serial data,file upload based on TCP protocol,control of sequence light source and light valve,real-time self-test based on multithreading,and an experiment-oriented file management method.The system demonstrated improved code logic,scheduling,exception handling,and code readability.展开更多
为了分析园区网络的安全隐患,解决园区网络故障,提出了一种利用协议分析的方法,提高园区网络管理的安全性。该方法利用协议分析园区网络中的计算机网络病毒、网络攻击、DoS&DDoS(Denial ofService&Distributed Denial of Servi...为了分析园区网络的安全隐患,解决园区网络故障,提出了一种利用协议分析的方法,提高园区网络管理的安全性。该方法利用协议分析园区网络中的计算机网络病毒、网络攻击、DoS&DDoS(Denial ofService&Distributed Denial of Service)、网络带宽滥用、广播与组播、MAC泛洪攻击等,了解网络整体健康状态,并根据分析结果,给出具体解决措施。实践证明,利用协议分析法解决园区网络故障,能迅速准确确定网络故障点,可获得较为满意的网络故障排除效果,使园区网络的安全性、稳定性大大提高。展开更多
文摘We utilized Raspberry Pi 4B to develop a microbial monitoring system to simplify the microbial image-capturing process and facilitate the informatization of microbial observation results.The Raspberry Pi 4B firmware,developed under Python on the Linux platform,achieves sum verification of serial data,file upload based on TCP protocol,control of sequence light source and light valve,real-time self-test based on multithreading,and an experiment-oriented file management method.The system demonstrated improved code logic,scheduling,exception handling,and code readability.
文摘为了分析园区网络的安全隐患,解决园区网络故障,提出了一种利用协议分析的方法,提高园区网络管理的安全性。该方法利用协议分析园区网络中的计算机网络病毒、网络攻击、DoS&DDoS(Denial ofService&Distributed Denial of Service)、网络带宽滥用、广播与组播、MAC泛洪攻击等,了解网络整体健康状态,并根据分析结果,给出具体解决措施。实践证明,利用协议分析法解决园区网络故障,能迅速准确确定网络故障点,可获得较为满意的网络故障排除效果,使园区网络的安全性、稳定性大大提高。