Three-dimensional datasets are becoming increasingly common, especially the use of large 3D datasets in Geographical Information Systems (GIS) applications. Similar problems are likely with 3D datasets as have been found with large two-dimensional datasets; namely the loss of context when examining a particular area of the data in detail. This paper proposes a solution based on three-dimensiona...

A new technique for manufacturing double-sided structured Si(Li) detectors has been established. The position-sensitive structure on the implanted p–contact can be made smaller than 100 m by photolithography followed by plasma etching of grooves to separate the position elements. By modifying this technique position-sensitive structures on a thin ( 30 m) Li-diffused contact were created. Areas ...

Subspace clustering is an emerging task that aims at detecting clusters in entrenched in subspaces. Recent approaches fail to reduce results to relevant subspace clusters. Their results are typically highly redundant and lack the fact of considering the critical problem, “the density divergence problem,” in discovering the clusters, where they utilize an absolute density value as the density th...

Clustering is recognized as sigificant technique for analysing data and concentric effort has been taken in different domains comprises of recognition of pattern, statistical analysis and data mining for decades. Subspace clustering is developed from the group of cluster objects from all subspaces of a dataset. During clustering of objects involing higher dimension, the accuracy and effectivene...

A powerful optimization method is proposed in this study for the minimal dimensional design problem of gearbox. It is a general model that is suitable to use for any series of gear drives system and can extract both dimensional and layout of components-limited optimization design together. The objective function in this study has many local extremes so for avoiding this situation, various const...