Evaluation is an important and basic issue for software dependability. However, traditional researches mostly focused on the conceptions and properties of dependability, which resulted in lots of different views about software dependability. Based upon Pi Calculus, dependable action path of software and real action path are set up through series of actions, which is decomposed by running software behaviors. In addition, three kinds of relationships between behaviors are defined. Consequently, the dependability is calculated by comparing the real running software actions to the decomposed ones based on the defined relationships. Experimental result conducted by MWB shows that the proposed method in one behavior is reasonable. At last, a real experiment proves the proposed measure method is more valid than traditional one.
The milling vibration affects machined surface quality and the size of the error, and has an important impact on the machining accuracy. This paper studies the different cutting parameters on cutting conditions on milling vibration during ball end milling Cr12MoV hardened steel assembled with different hardness steels, and use LMS. Test. Lab software to analyze the vibration signal on the condition of different spindle speed milling direction, axial depth of cut, and the vibration signal of transitional zone and the non-transitional zone are compared, providing the basis for a reasonable choice of milling parameters.
The non-contact pneumatic measurement technique is useful for dimension measurement. The authors have developed a new type of air-pin pneumatic-electronic sensor. The ultra-precision air-pin sensor and the dynamic characteristics of the sensor are investigated. The measurement accuracy of the air-pin pneumatic-electronic sensor is better than 0.1µm for the 10µm measurement range. The response time is less then 10ms.
Network Security Situation Awareness (NSSA) is a hot topic in network security field, and cloud computing is a new technology integrated virtual storage and distributed computing. It has become the challenging questions how to provide efficient and reliable service for NSSA based on the cloud computing.This paper proposes a cloud security situation awareness model based on data mining, and puts forwarda parallelfrequent-tree Apriori algorithm (PFT-Apriori) for mining association rules. Compare with the traditional Apriori algorithm, the experimental results show that the performance of system is increased by 51% under PFT-algorithm.
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