An Investigation on Network Relationship of Elderly Nursing Home

All developed countries have been facing the trend of aging population and view it as an importance social policy which has to plan care and nurse senior citizens. The elderly caring and nursing organizations are obligated to provide more comfortable and suitable environment for a high quality life of elders. Based upon Maslow’s Hierarchy of Needs Theory, there is a hierarchy of five needs within each individual, including physiological needs, safety needs, belongingness and love Needs, self-esteem needs and self-actualization needs. Individuals would acquire emotional support, materiality and service through social network. This study investigates two main issues related to network relationship of elderly nursing home. First, this study demonstrates the network relationship between elderly nursing home and other related groups, including family and friends of elderly resident, exclusive volunteers, neighborhood community centre, religion groups and other welfare associations. Second, this study investigates what the network relationships would influence the satisfaction of five elderly residents’ needs. To better understanding the real connection among groups related to nursing home, this study uses case study with the perceptions of social network to know the network relationship in the nursing home and what it influences their residents’ needs

Ricci Curvature of the Internet Topology

Analysis of Internet topologies has shown that the Internet topology has negative curvature, measured by Gromov's "thin triangle condition", which is tightly related to core congestion and route reliability. In this work we analyze the discrete Ricci curvature of the Internet, defined by Ollivier, Lin, etc. Ricci curvature measures whether local distances diverge or converge. It is a more local measure which allows us to understand the distribution of curvatures in the network. We show by various Internet data sets that the distribution of Ricci cuvature is spread out, suggesting the network topology to be non-homogenous. We also show that the Ricci curvature has interesting connections to both local measures such as node degree and clustering coefficient, global measures such as betweenness centrality and network connectivity, as well as auxilary attributes such as geographical distances. These observations add to the richness of geometric structures in complex network theory.Comment: 9 pages, 16 figures. To be appear on INFOCOM 201

Relightable 3D Gaussian: Real-time Point Cloud Relighting with BRDF Decomposition and Ray Tracing

We present a novel differentiable point-based rendering framework for material and lighting decomposition from multi-view images, enabling editing, ray-tracing, and real-time relighting of the 3D point cloud. Specifically, a 3D scene is represented as a set of relightable 3D Gaussian points, where each point is additionally associated with a normal direction, BRDF parameters, and incident lights from different directions. To achieve robust lighting estimation, we further divide incident lights of each point into global and local components, as well as view-dependent visibilities. The 3D scene is optimized through the 3D Gaussian Splatting technique while BRDF and lighting are decomposed by physically-based differentiable rendering. Moreover, we introduce an innovative point-based ray-tracing approach based on the bounding volume hierarchy for efficient visibility baking, enabling real-time rendering and relighting of 3D Gaussian points with accurate shadow effects. Extensive experiments demonstrate improved BRDF estimation and novel view rendering results compared to state-of-the-art material estimation approaches. Our framework showcases the potential to revolutionize the mesh-based graphics pipeline with a relightable, traceable, and editable rendering pipeline solely based on point cloud. Project page:https://nju-3dv.github.io/projects/Relightable3DGaussian/