Inclusion of third-person perspective in CAVE-like immersive 3D virtual reality role-playing games for social reciprocity training of children with an autism spectrum disorder

Universal Access in the Information Society - The present study aimed to improve the ability of children with autism to recognize emotions correctly. We used our third-person perspective...     

Local structure and superconductivity in (Bi1.6Pb0.4Sr2Ca2Cu3O10+δ)1-x(Fe3O4)x compounds

In this work, a close correlation between variations of critical temperature (T_c) and the hole concentration of (Bi_1.6Pb_0.4Sr₂Ca₂Cu₃O_10+δ)_1-x(Fe₃O₄)_x systems was studied. The (Bi_1.6Pb_0.4Sr₂Ca₂Cu₃O_10+δ)_1-x(Fe₃O₄)_x samples were fabricated using the solid-state reaction method, where x ranged from 0 to 0.2. The T_c values of the samples deduced from magnetization versus temperature measurement gradually decreased with increasing the Fe₃O₄ content (x). To investigate a possible reason for the observed decrease in the values of T_c in the samples, the valence state of copper (V) and the hole concentration (p) in all samples were examined by analyzing the Cu K-edge and Cu L_2,3-edge X-ray absorption near edge structure (XANES) spectra. The values of V and p monotonously decreased with the increase in Fe₃O₄ doping content (x) and agreed with the behavior of T_c. The existence of Fe³⁺ was confirmed by analyzing Fe L_2,3-edge XANES. Hence, Fe³⁺ ions possibly entered the lattice structure of the samples and filled the holes in CuO₂ planes. The degradation of superconductivity in Fe₃O₄ doped samples was then explained.     

Using an augmented reality-based training system to promote spatial visualization ability for the elderly

Universal Access in the Information Society - The physical condition and cognitive ability of older adults tends to decline. This study focused on the development of an augmented reality (AR)-based...     

Data Layout Transformation Exploiting Memory-Level Parallelism in Structured Grid Many-Core Applications

We present automatic data layout transformation as an effective compiler performance optimization for memory-bound structured grid applications. Structured grid applications include stencil codes and other code structures using a dense, regular grid as the primary data structure. Fluid dynamics and heat distribution, which both solve partial differential equations on a discretized representation of space, are representative of many important structured grid applications. Using the information available through variable-length array syntax, standardized in C99 and other modern languages, we enable automatic data layout transformations for structured grid codes with dynamically allocated arrays. We also present how a tool can guide these transformations to statically choose a good layout given a model of the memory system, using a modern GPU as an example. A transformed layout that distributes concurrent memory requests among parallel memory system components provides substantial speedup for structured grid applications by improving their achieved memory-level parallelism. Even with the overhead of more complex address calculations, we observe up to 10.94X speedup over the original layout, and a 1.16X performance gain in the worst case.