Applied Mechanics and Materials Vols. 275-277

Abstract: Quantum cryptography is the use of quantum existence state as the key of information encrption and decryption, the principle is the Einstein called "mysterious long distance activities" quantum entangled state. It is a quantum mechanical phenomenon, regardless of the distance between the two particles far, a particle changes will affect another particle, compared with the traditional password technology has a higher level of security. Quantum cryptography is a research hotspot of international academia in recent years. We introduce quantum key distribution, quantum commitment, bounded quantum storage model, position based quantum cryptography and post-quantum cryptography.

Abstract: Quantum key distribution (QKD) uses quantum mechanics to guarantee secure communication. It enables two parties to produce a shared random secret key known only to them, which can then be used to encrypt and decrypt messages. QKD is a research hotspot of international academia in recent years. We introduce some protocols: BB84 protocol, E91 protocol, SARG04 protocol.

Abstract: In order to strengthen informatization for forest fire emergency resources management, a framework of resource integration and information sharing was put forward. The construction goal, software and hardware structure and its function, emergency platform cantacting with other government and information update process were researched. Forest fire emergency resources in departments of interconnection and interflow, information sharing and emergency linkage were achieved.

Abstract: Sampling theorem plays an important role in the engineering such as signal processing, image processing, digital communications, and so on. In this paper, the symmetry property of cardinal orthogonal scaling function is discussed. Then, a 4-band cardinal orthogonal scaling function from the relation between the highpass filter coefficients and wavelet is provided. Thus, sampling theorem in the wavelet subspace is obtained.

Abstract: Due to size effects production processes for macro parts are often not applicable to micro production. Especially the handling is more complicated. The approach to overcome these problems is to resize the parts to the macro world by producing them in linked parts. These structures use the base material as a substrate which keeps the micro parts interconnected. The small tolerances for micro parts demand a high precision positioning for the subsequent processing. An equidistant arrangement cannot be assured by the manufacturing processes. The micro parts must be identified within the linked parts by characteristic geometrical features and referenced separately with respect to the feed system. For this task the application of a laser profile scanner is investigated. For the data evaluation and the recognition of typical geometrical features a real-time capable algorithm with sufficient robustness against noise and measuring errors is developed. To validate the function of the algorithm test measurements are performed and compared to reference measurements done by microscopy.

Abstract: FOCUSS(Focal Underdetennined System Solver) algorithm is a novel tool for sparse representation and underdetermined inverse problems. To improve the performance of FOCUSS in the presence of noise, we propose an improved FOCUSS algorithm using augmented Lagrange multiplier in this paper. The improved algorithm introduces precise penalty factor with limited value to enhance the precision of signal recovery. For dealing with large scale problem, Conjugate Gradient method is also cooperated to accelerate the convergence speed. Finally, computer simulations illustrate that performance on strengthening the recovery ability of the signal.

Abstract: Considering the unreasonable noise of laser scanning point data during measuring, which causes the reconstructed curve and surface rough, some problems are analyzed to deal with noise. The mathematical noise model on scanning point cloud is proposed, which consists of deterministic and random noise error, and the random error mainly consists of geometric error and measurement one. The data process is proposed to reduce noise and to simplify data. The noise process consists of obvious noise removed, random filter algorithm and data fairing with an optimized correction value. Due to redundant data about mass point cloud, method of combining deviation parameters with allowed angle is proposed to simplify point cloud. The experiments show that the proposed method has many obvious advantages than a single algorithm of data processing, such as all sorts of noise data can be removed respectively, mass data can be streamlined. And the proposed algorithm has the advantages of high reservation of curve and surface reconstruction of point cloud.

Abstract: This paper introduces a two-dimensional roller measurement mechanism according to the requirements of locomotive wheelset parameters measurement process. This mechanism makes it possible for single measurement head to measure the dimension parameters of a wheelset on axial and radial. It puts forward some methods on reducing parameters of wheelset systematic measurement errors after analyzing the structure of measurement mechanism. Automatic measurement system made by this two-dimensional roller measurement mechanism has high measurement efficiency and accuracy, strong anti-interference ability and operational reliability. The measurement system has been successfully applied in enterprise production.

Abstract: The cast shadows on the background of the object will distinctly affect the recognition of the foreground objects. Due to the limitation of shadow removal methods utilizing texture, a novel algorithm based on Gaussian Mixture Model (GMM) and HSV color space is proposed. Firstly, moving regions are detected using GMM. Secondly, we make two pre-classifiers accurate and adaptive to the change of shadow by using the features of shadow in RGB and HSV color space. Experimental results show that the proposed method is efficient and robust.

Abstract: In online criteria prioritization questionnaires, the respondents are not given an opportunity to verify and deliberate the reasons for each response. This paper describes a novel way to acquire the reasons and contexts behind the prioritization of criteria or alternatives, through a verification mechanism together with a set of logical rules. Essentially, a respondent is expected to visually verify the online responses against the reasons behind the prioritization of each pair of alternatives or criteria. A rule-based approach is then adopted to validate and display the inconsistent responses. Each respondent is expected to correct all detected inconsistency by recording the appropriate reasons and contexts in some concept maps. The resulting verification mechanism could be further enhanced and used as an intelligent organizational knowledge creation and maintenance framework for personalizing a group decision support setting.