A region-growing method for reconstructing triangulated surfaces from massive unorganized points is presented. To save memory space, a ring data structure is adopted to build connections between points and triangulate...A region-growing method for reconstructing triangulated surfaces from massive unorganized points is presented. To save memory space, a ring data structure is adopted to build connections between points and triangulated surfaces. The data-structure allows the efficient retrieval of all neighboring vertices and triangles of a given vertice, To narrow the search range of adjacent points and avoid tuangle intersection, an influence area is defined for each active-edge, In the region-growing process of triangulated surfaces, a minimum-edge-angle-product algorithm is put forward to select an appropriate point to form a new triangle for an active edge. Results indicate that the presented method has high efficiency and needs less memory space, optimized triangulated surfaces with reliable topological quality can be obtained after triangulation,展开更多
An approach is presented to generate rough interference-free tool-paths directly from massive unorganized data in rough machining that is performed by machining volumes of material in a slice-by-slice manner. Unorgani...An approach is presented to generate rough interference-free tool-paths directly from massive unorganized data in rough machining that is performed by machining volumes of material in a slice-by-slice manner. Unorganized point-cloud is firstly converted to cross-section data. Then a robust data-structure named tool-path net is constructed to save tool-path data. Optimal algorithms for partitioning sub-cut-areas and computing interference-free cutter-locations are put forward. Finally the tool-paths are linked in a zigzag milling mode, which can be transformed into a traveling sales man problem. The experiment indicates optimal tool paths can be acquired, and high computation efficiency can be obtained and interference can be avoided successfully.展开更多
India’s unorganized labour force contributes about one third of the total labour sector.The scenario is even worse in the Indian automotive industry which employs a little over 7%on a permanent basis.Problems get exa...India’s unorganized labour force contributes about one third of the total labour sector.The scenario is even worse in the Indian automotive industry which employs a little over 7%on a permanent basis.Problems get exaggerated due to the outdated labour laws,ironically established to support and protect workers.The disappointing areas in the labour contract act and labour laws have led to unfair wage practices and a hostile work environment,giving way to labour discord.This research paper discusses the key issues of labour dissonance in the Indian automobile industry using a Bayesian network analysis.Real-life casestudy examples from the Indian automobile industry were considered to identify the rationale behind labour unrest.Bayesian analysis of a set of 250 responses helped us to understand the associations among key attributes of labour dissatisfaction.展开更多
文摘A region-growing method for reconstructing triangulated surfaces from massive unorganized points is presented. To save memory space, a ring data structure is adopted to build connections between points and triangulated surfaces. The data-structure allows the efficient retrieval of all neighboring vertices and triangles of a given vertice, To narrow the search range of adjacent points and avoid tuangle intersection, an influence area is defined for each active-edge, In the region-growing process of triangulated surfaces, a minimum-edge-angle-product algorithm is put forward to select an appropriate point to form a new triangle for an active edge. Results indicate that the presented method has high efficiency and needs less memory space, optimized triangulated surfaces with reliable topological quality can be obtained after triangulation,
文摘An approach is presented to generate rough interference-free tool-paths directly from massive unorganized data in rough machining that is performed by machining volumes of material in a slice-by-slice manner. Unorganized point-cloud is firstly converted to cross-section data. Then a robust data-structure named tool-path net is constructed to save tool-path data. Optimal algorithms for partitioning sub-cut-areas and computing interference-free cutter-locations are put forward. Finally the tool-paths are linked in a zigzag milling mode, which can be transformed into a traveling sales man problem. The experiment indicates optimal tool paths can be acquired, and high computation efficiency can be obtained and interference can be avoided successfully.
文摘India’s unorganized labour force contributes about one third of the total labour sector.The scenario is even worse in the Indian automotive industry which employs a little over 7%on a permanent basis.Problems get exaggerated due to the outdated labour laws,ironically established to support and protect workers.The disappointing areas in the labour contract act and labour laws have led to unfair wage practices and a hostile work environment,giving way to labour discord.This research paper discusses the key issues of labour dissonance in the Indian automobile industry using a Bayesian network analysis.Real-life casestudy examples from the Indian automobile industry were considered to identify the rationale behind labour unrest.Bayesian analysis of a set of 250 responses helped us to understand the associations among key attributes of labour dissatisfaction.
