Applied Mechanics and Materials Vols. 20-23

Abstract: The proper performance evaluation relies on the construction of the scientific, reasonable, and feasible indices system. The balanced score card (BSC) works as good basis for the strategy of the commercial bank. It is a series of financial evaluation indices and non-financial evaluation system which provides prompt, overall, and objective support for managements to understand the operation situation. The AHP, a hierarchy weighted decision method, is used for complicated, over-ruled and un-quantified problems, it will relate the objective evaluation with the decision maker’s subjective judgment and reasoning, quantify the reasoning of the decision maker, avoid the logic mistakes the decision maker might make when dealing with complicated, or multiple projects. Using AHP with the basis of the evaluation indices of the BSC will form a whole construction of the evaluation system which reflects the basic situation of the commercial bank clearly.

Abstract: Electric power quantity monitor is a premise to provide high-quality electric power, therefore, on the electric power market; it has appeared much more electric power quantity monitoring system based on virtual instrument design technology such as software of LabVIEW. We aims at calculator data processing shortcome of LabVIEW, which is inconvenience in using LabVIEW during databases interface realization. This paper mainly introduces how to realize interface design between LabVIEW and database. As well as introducing ADO technique how to carry out LabVIEW visiting databases. Because design transplantation is stronger, so, system has broad function and application foreground.

Abstract: For an IT service provider, the change management, especially change scheduling plays a pivotal role in the maximization of business profits. Traditional scheduling methods usually concern fixed losses exclusively but overlook risks which may cause more financial costs. In this paper, an optimal design methodology is proposed using risk management concepts, whereby numbers of changes can be scheduled to minimize the sum of fixed losses and risk losses. A numerical example is discussed and the results show that optimizing the scheduling of changes can result in significant savings and risk reduction to an IT support organization.

Abstract: Diagonal maximum scatter difference (DiaMSD) method for face recognition is proposed in this paper. This novel algorithm is developed based on two techniques, i.e., maximum scatter difference (MSD) and diagonal face images based projection. The DiaMSD method is not only computationally more efficient but also more accurate than the one dimensional (vector-based) MSD method in extracting the facial features for human face recognition. Extensive experiments are performed to test and evaluate the new algorithm using a subset of the FERET face databases. Experimental results show the effectiveness of the proposed method (DiaMSD).

Abstract: In this paper, the design ideas including the software and the hardware such as key electric circuits of the automatic weather station based on embedded Linux operating system are introduced. The high resolution ADC (analog-to-digital convertor) is used to achieving data characters. The system based on the bus structure makes the system can be connected with various weather sensors. Any substitution of the weather sensors neither need to change the software nor the hardware of main collector. Not only the program source codes are given, but also some essential problems which should be paid attention are suggested. Practical application shows that this system has advantages such as high precision，high stability, low power consumption. Experimental results proof that the system is accordance with the design criteria of the second-generation automatic weather station in China.

Abstract: A robot performance testing platform is designed and implemented to aid the production and study of the competition robot. The underlying design principle, the mechanical structure, hardware and the data acquisition system software, as well as the PC data processing and display software which make up the testing platform are introduced. The applications of the platform in robot performance testing, track race and the gait planning of humanoid robot are stated, and the future research direction and difficulties of the platform are identified. Practice shows that the research of the platform has significant practical application and theoretical value.

Abstract: By use of the properties of ant colony algorithm and particle swarm optimization, this paper presents an application of an Ant Colony Optimization (ACO) algorithm and artificial neural network (ANN) to fault diagnosis. The ACO algorithm is a novel heuristic bionic algorithm, which is based on the behavior of real ants in nature searching for food. Neural network is used to express the nonlinear function between the input and output of the fault diagnosis of the rolling bearing. And ant colony optimization (ACO) algorithm is used to learn NN. The new algorithm has the merits of both ACO algorithm and neural network. It also provides a new way for the fault diagnosis through constructing the intelligent model by ant colony-neural network and overcomes the shortcomings of traditional algorithm.

Abstract: According to the complex and uncertain relationships between indexes and grades of flood hazard evaluation, as well as the deficiency of measured samples, an improved support vector machine (SVM) model was established to improve accuracy and efficiency of calculation. The function that comprehensively evaluated indexes of multi-dimensional disaster situation in one-dimensional continuous space could be realized, and effectively solved the incompatible problems of different evaluation results with single index. The results showed that the model based on improved support vector machine had a better ability of generalization and calculation speed by reduce constraint conditions. It is considered to have a good application prospect in multi-index comprehensive evaluation.

Abstract: Management of grid resource information is a challenging and important area considering the potential size of the grid and wide range of resources in grid system. These huge amounts of resources often have different structures and functions. How to manage resources effective is an urgent problem for grid technology. WSDM is about defining a common manageability structure and message exchange format, defines a Web service message protocol for management information, and a management interface for a manageable resource present on the Web. Taking a real case of storage grid system, a practice application of grid resource management based on Web Services Distributed Management (WSDM) is given in this paper. This paper also discusses the disadvantages of WSDM application in the area.

Abstract: This paper presents a new parallel line-up competition algorithm (PLCA) for solving continuous optimization problems. A coarse-grained parallel model has been used to implement the PLCA. In this model, the whole family is equally divided into several subfamily groups that evolve independently in single processor. When migration condition is reached, a portion of fit families in each subfamily group migrate to the neighboring node according to a ring migration topology. The proposed algorithm has been evaluated by solving a set of well-known test functions. Simulation results show that PLCA has good parallel efficiency and superior performance.