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Due to significant industrial demands toward flight safety and airplane maintenance quality, improving airplane's reliability in usage stage has become an important activity and the research domain is rapidly evolving. In this paper eighteen years' field data, gathered from the maintenance phase of a Boeing 737 aircraft, is prepared as time-to-failure series. Then automatic processing models based...
In order to enhance the instantaneity of SLAM for indoor mobile robot, a RGBD SLAM method based on Kinect was proposed. In the method, oriented FAST and rotated BRIEF(ORB) algorithm was combined with progressive sample consensus(PROSAC) algorithm to execute feature extracting and matching. More specifically, ORB algorithm which has better property than many other feature descriptors was used for extracting...
We research the cooperation optimization problem of assigning locomotives and scheduling trains in single-track railway system. To solve the considered problem, we develop a high-efficient cooperation optimization approach which includes a well-designed locomotive assignment algorithm. We conduct extensive case studies to demonstrate the effectiveness of the proposed cooperation optimization approach...
It is possible to calculate if there is a path or several paths between two vertices in a graph by the calculation of adjacency matrix, however, the paths themselves cannot be recorded by the calculation of adjacency matrix. This paper proposes an accurate method of calculation by showing the paths of matrices. The operations on path matrices to calculate and record path between two vertices can be...
More and more companies are migrating applications to the cloud nowadays. It is important to develop a migration strategy to determine what applications should be migrated and in which order. In this paper, we research from the perspective of data exchange, define the cost of data exchange and build a comprehensive data exchange model, which takes the cost of data exchange and network delay into consideration...
Finite-time Lyapunov exponent (FTLE) is widely used to extract coherent structure of unsteady flow. However, the calculation of FTLE can be highly time-consuming, which greatly limits the application's performance efficiency. In this paper, we accelerate a double precision PDE-based FTLE application for two- and three-dimensional analytical flow field on Intel multi-core and many-core architectures...
With the explosive growth number of services in cloud computing environment, how to accurately and rapidly discover the services that can meet user's functional and nonfunctional requirements is a challenging subject. Aiming at issues of service inefficiencies and low precision in the existing service discovery methods, a model for service discovery based on functions and QoS clustering is proposed...
Job shop scheduling problem, due to its discrete, dynamic, multi-machine, multi-variables, constraining and other typical NP-hard resistance natures, is bound to play an important role in NP studies. This paper proposes a new improved genetic algorithm, the isolation niche algorithm and adaptive genetic algorithm, for the sake of improving quality of solutions. Based on numerous examples and data...
In order to make the service composition with lower consumption resource and reduce execution time of service composition process, this paper proposes a method to optimize service composition model based on analysis of service composition execution log information and optimization of its Petri net model, which includes three steps: firstly, the log information and extracting related data are collected;...
Automobile bumper and energy-absorbing box are the most important parts for automobile passive safety and play an important role in the safety of automobile crash. In order to improve car crash safety and reduce fuel consumption of vehicle, in this study we analyze the deformation and endoergic process of energy-absorbing box during the collision based on the software ANSYS/LS-DYNA. Taking automobile...
I/O characteristics are vital to application development and orchestration of storage system. Users and system managers usually perform I/O optimizations to applications and file systems according to I/O characteristics of parallel applications. In this paper, we first investigate the overhead of FTracer, which is a I/O characterizing tool proposed in our previous work. Then we tune the parameters...
In this paper, we present a series of methods to improve testing efficiency especially for regression testing from a novel view, namely dynamic analysis of test cases suitable for class testing in object-oriented systems. We mine static call graphs and dynamic call trees to represent the static features and dynamic tests of the program. By graph analysis, we present a series of methods and testing...
In this paper, a new model combining neural networks with genetic algorithm is proposed to solve the problem of waste water discharge optimization. Firstly we apply resilient backpropagation(RPROP) neural networks to water quality daily data prediction based on water quality and waste water discharge history data, then through genetic algorithm process concerning water quality influence and economic...
To make the traditional support vector data description (SVDD) achieve better generalization performance and more robust against noise, a selective ensemble method based on correntropy and Renyi entropy is proposed. In this proposed ensemble method, the correntropy between the radii of the basis classifiers and the radius of the ensemble is utilized to substitute the sum-squared-error (SSE) criterion...
Classification of mangrove species is very important for monitoring and protecting the coastal ecosystem. In this paper, we present a new spectral-spatial classifier that uses multi-spectral image captured by the ZY-3 satellite to distinguish seven mangrove species in the Beihai ecological monitoring area, Guangxi, China. In order to extract the spatial information, a correlative filter is designed...
Regarding to the relative slow convergence of traditional independent component analysis with reference (ICA-R) methods, an improved ICA-R algorithm is proposed referring to a novel objective function, which is derived by adding the reciprocal of similarity measure to the standard contrast function, then the Lagrange multiplier method is adopted on the novel objective function, and the optimal weighted...
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