http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Software-defined networking model for smart transformers with ISO/IEC/IEEE 21451 sensors
Longhua Guo,Jun Wu,Gaolei Li,Jian Hua Li,Jie Wu 한국통신학회 2017 ICT Express Vol.3 No.2
The advanced IEC 61850 smart transformer has shown an improved performance in monitoring, controlling, and protecting the equipment in smart substations. However, heterogeneity, feasibility, and network control problems have limited the smart transformer’s performance in networks. To address these issues, a software-defined networking model was proposed using ISO/IEC/IEEE 21451 networks. An IEC-61850-based network controller was designed as a new kind of intelligent electrical device (IED). The proposed data and information models enhanced the network awareness ability and facilitated the access of smart sensors in transformer to communication networks. The performance evaluation results showed an improved efficiency.
Longhua Guo,Bin Qiu,Xueyang Xiao,Guonan Chen 한국식품과학회 2009 Food Science and Biotechnology Vol.18 No.4
In recent years, special concerns have been raised about the safety assessment of foods and food ingredients derived from genetically modified organisms (GMOs). A growing number of countries establish regulations and laws for GMOs in order to allow consumers an informed choice. In this case, a lot of methods have been developed for the detection of GMOs. However, the reproducibility among methods and laboratories is still a problem. Consequently, it is still in great demand for more effective methods. In comparison with the gel electrophoresis, the capillary electrophoresis (CE) technology has some unique advantages, such as high resolution efficiency and less time consumption. Therefore, some CE-based methods have been developed for the detection of GMOs in recent years. All kinds of CE detection methods, such as ultraviolet (UV), laser induced fluorescence (LIF), and chemiluminescence (CL) detection, have been used for GMOs detection. Microchip capillary electrophoresis (MCE) methods have also been used for GMOs detection and they have shown some unique advantages.