Key Engineering Materials Vols. 439-440

Abstract: A way based on B-Spline wavelet transform is used to get the edge extraction of the night image. Compared with classical methods of edge detection, it provides higher precision and saves more details etc. Formulation of communication protocol is put forward. With the combination of laser technology and night vision technology, hardware and software program and image processing is designed to realize the auto-detection, monitoring and alarm. The visual range in full dark is 1.8km and more than 2.1km in 1/4 moonlight

Abstract: Liu et al. proposed the first certificateless signature scheme without random oracles in 2007. However, Xiong et al. showed that Liu et al.'s scheme is insecure against a malicious-but-passive KGC attack and proposed an improved scheme. In ISA 2009, Yuan et al. also proposed a new certificateless signature scheme without random oracles. Although they claimed that the two schemes are secure in the standard model, this paper shows that both Xiong et al.'s improved scheme and Yuan et al.'s new scheme are vulnerable to key replacement attack, where an adversary, obtaining a signature on a message and replacing the public key of a signer, can forge valid signatures on the same message under the replaced public key. We also give the corresponding modifications of the two schemes to resist key replacement attack.

Abstract: A new fuzzy prediction controller is established to prediction for silicon content in blast furnace hot metal. The forecasting process is only used the historical information of silicon content. This new algorithm consists of five steps: step 1 de-noises silicon content numerical data by wavelet analysis to smooth out noise; step 2 divides the input and output spaces of the de-noising numerical data into fuzzy regions; step 3 generates fuzzy rules from the de-noising data; step 4 assigns a degree to each of the generated rules for the purpose of resolving conflicts among the generated rules; step 5 determines a fuzzy prediction controller from input space to output space based on such rules. Simulation results show that: 84% hit rates of prediction in the range of [Si] 0.1% is attained using the prediction controller.

Abstract: Fuzzy clustering algorithm especially the fuzzy c-means (FCM) algorithm has been widely used for segmentation of brain magnetic resonance (MR) images. However, the conventional FCM algorithm has a very serious shortcoming, i.e., the algorithm tends to balance the number of points in each cluster during the classification. Therefore, when this algorithm is applied to segment the MR images with quite different size of objects, it will lead to bad segmentation. To overcome this problem, a novel fuzzy expectation maximization (FEM) algorithm is presented in this paper. The algorithm is developed by extending the classical hard EM algorithm into soft EM algorithm through integrating the fuzzy and statistical techniques. Compared with the FCM algorithm, the experimental results on MR image segmentation clearly indicate that the proposed FEM algorithm has better performance for the segmentation.

Abstract: Oil well tubing is used in oil extraction in offshore oil well. Under the force of tubular columns, erosion and pressure of drilling fluids, the oil well tubing usually fails in long-term service, which always leads to accidents and stagnation of production. So it’s especially necessary to detect faults in tubing. Intense-magnetic memory testing equipment for reusable offshore oil well tubing is developed for this consideration. The equipment is composed of feeding machines, baiting machines, transport machines and a detection machine. Measurement and control system decides the running sequence logic of these components and obtains fault signals of tubing. The avoidance of transport machines for oil well tubing coupling makes the transport of tubing stable. The synchronization control of transport and detection of tubing decides the accurate location of faults. The automatic switch of both detection units and measurement of fault signals makes it convenient to detect oil well tubing of multiple sizes.