危害分析与关键控制点体系(hazard analysis and critical control point, HACCP)是一种被广泛应用于各个领域的质量管理工具。本文将HACCP体系应用于食品快速检验机构的质量控制,阐述其应用在食品快速检验机构的工作思路和方法,并以组...危害分析与关键控制点体系(hazard analysis and critical control point, HACCP)是一种被广泛应用于各个领域的质量管理工具。本文将HACCP体系应用于食品快速检验机构的质量控制,阐述其应用在食品快速检验机构的工作思路和方法,并以组织中氯霉素快速检测为例,分析了HACCP体系在食品快速检验机构的质量控制中的应用。以期提高食品快速检验机构中食品快速检验结果的准确性,使食品快速检验结果成为食品监管部门靶向监管的技术保障,同时对相关食品检验机构的质量控制提供新思路。展开更多
In order to avoid internal attacks during data aggregation in wireless sensor networks, a grid-based network architecture fit for monitoring is designed and the algorithms for network division, initialization and grid...In order to avoid internal attacks during data aggregation in wireless sensor networks, a grid-based network architecture fit for monitoring is designed and the algorithms for network division, initialization and grid tree construction are presented. The characteristics of on-off attacks are first studied and monitoring mechanisms are then designed for sensor nodes. A Fast Detection and Slow Recovery (FDSR) algorithm is proposed to prevent on-off attacks by observing the behaviors of the nodes and computing reputations. A recovery mechanism is designed to isolate malicious nodes by identifying the new roles of nodes and updating the grid tree. In the experiments, some situations of on-off attacks are simulated and the results are compared with other approaches. The experimental results indicate that our approach can detect malicious nodes effectively and guarantee secure data aggregation with acceptable energy consumption.展开更多
文摘危害分析与关键控制点体系(hazard analysis and critical control point, HACCP)是一种被广泛应用于各个领域的质量管理工具。本文将HACCP体系应用于食品快速检验机构的质量控制,阐述其应用在食品快速检验机构的工作思路和方法,并以组织中氯霉素快速检测为例,分析了HACCP体系在食品快速检验机构的质量控制中的应用。以期提高食品快速检验机构中食品快速检验结果的准确性,使食品快速检验结果成为食品监管部门靶向监管的技术保障,同时对相关食品检验机构的质量控制提供新思路。
基金This work was supported by the National Natural Science Foundation of China under Grant No. 60873199.
文摘In order to avoid internal attacks during data aggregation in wireless sensor networks, a grid-based network architecture fit for monitoring is designed and the algorithms for network division, initialization and grid tree construction are presented. The characteristics of on-off attacks are first studied and monitoring mechanisms are then designed for sensor nodes. A Fast Detection and Slow Recovery (FDSR) algorithm is proposed to prevent on-off attacks by observing the behaviors of the nodes and computing reputations. A recovery mechanism is designed to isolate malicious nodes by identifying the new roles of nodes and updating the grid tree. In the experiments, some situations of on-off attacks are simulated and the results are compared with other approaches. The experimental results indicate that our approach can detect malicious nodes effectively and guarantee secure data aggregation with acceptable energy consumption.
