Transactions on Computational Science XIII [Paperback]

The 13th issue of the Transactions on Computational Science journal consists of two parts. The six papers in Part I span the areas of computing collision probability, digital image contour extraction, multiplicatively weighted Voronoi diagrams, multi-phase segmentation, the rough-set approach to incomplete information systems, and fault-tolerant systolic arrays for matrix multiplications. The five papers in Part II focus on neural-network-based trajectory prediction, privacy in vehicular ad-hoc networks, augmented reality for museum display and the consumer garment try-on experience, and geospatial knowledge discovery for crime analysis.Collision Probability in an In-Line Machines Model.-A Computational-Geometry Approach to Digital Image ContourExtraction.-On Multiplicatively Weighted Voronoi Diagrams for Lines in the Plane.-Fast Streaming 3D Level Set Segmentation on the GPU for Smooth Multi-phase Segmentation.-Valued Dominance-Based Rough Set Approach to Incomplete Information System.-An FPGA-Based Fault-Tolerant 2D Systolic Array for Matrix Multiplications.-Neural Network Based Lane Change Trajectory Prediction in Autonomous Vehicles.-Conditional Privacy through Ring Signature in Vehicular Ad-HocNetworks.-Establishing a Museum Display Platform by Using Combination of Reflection Holograms and Tangible Augmented Reality.-Applying Augmented Reality to Consumer Garment Try-OnExperience.-Geospatial Knowledge Discovery Framework for Crime Domain.

The LNCS journal Transactions on Computational Science reflects recent developments in the field of Computational Science, conceiving the field not as a mere ancillary science but rather as an innovative approach supporting many other scientific disciplines. The journal focuses on original high-quality research in the realm of computational science in parallel and distributed environments, encompassing the facilitating theoretical foundations and the applications of large-scale computations and massive data processing.lSÊ