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  • 1
    Electronic Resource
    Electronic Resource
    Springer
    Neural computing & applications 6 (1997), S. 148-157 
    ISSN: 1433-3058
    Keywords: Bayesan interpretation ; Classification ; Neural networks ; Thermal Non-destructive evaluation
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science , Mathematics
    Notes: Abstract A methodological study on the use of neural networks for defect characterisation by means of a thermal method is presented. Neural networks are used here as defect classifiers, based on the infrared emission of the target object after heating. In this kind of application, there is a high degree of uncertainty in defect class boundaries due to several factors, such as the noise in the measurement, the uneven heating of the target object and the anisotropies in its thermal conductivity. For this reason, the classical ‘1 of N’ coding scheme during training did not provide satisfactory results. Much better results have instead been obtained using a smoother activation function for the output units during training. The non-destructive evaluation of material using neural networks proved extremely satisfactory, especially when compared to the classical procedures of thermographic analysis.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Journal of intelligent and robotic systems 13 (1995), S. 45-74 
    ISSN: 1573-0409
    Keywords: Grasp modelling ; grasp planning ; functional reasoning ; heuristic reasoning ; articulated hand ; implicit programming ; task planning
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science , Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
    Notes: Abstract This paper presents the core of a software system able to determine a good grasp configuration on 3D objects for a three-fingered hand. The grasp planning problem has been studied considering both the constraints due to the stability and accessibility conditions, and the ones related to functionality. Physical, geometrical, spatial and task-related knowledge for solving the grasp planning problem have been properly modelled to support a heuristic-based reasoning process. A series of heuristic rules and geometric tests are used to scan the solution space, searching for a ‘good’ grasp. In fact, when considering the three-dimensional case, a purely analytical and exhaustive approach appears too complex because of the dimension of the search space. This approach results in an incremental and modular model of grasp reasoning, that has been implemented using the Flex expert system shell. This work has been developed and demonstrated within the Esprit 2 project CIM-PLATO No. 2202.
    Type of Medium: Electronic Resource
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  • 3
    Electronic Resource
    Electronic Resource
    Springer
    Research in nondestructive evaluation 5 (1994), S. 257-274 
    ISSN: 1432-2110
    Source: Springer Online Journal Archives 1860-2000
    Topics: Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics
    Notes: Abstract A transient method of thermal nondestructive testing is applied to detect subsurface delaminations in fresco plaster as a part of restoration work that is being conducted in Italy. A two-dimensional cylindrical model is used to estimate temperature distribution in materials with defects of various sizes and depths. The possibility of testing plaster with thickness up to 30 mm is illustrated. The choice of heating technique, which is supposed to be really nondestructive to ancient frescoes and powerful enough to create reasonable temperatures signals, is considered. Test duration and optimum sampling interval are discussed also. The structural noise of plaster and the influence of surface painting are investigated.
    Type of Medium: Electronic Resource
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