Deep Recursive Embedding for High-Dimensional Data

Embedding high-dimensional data onto a low-dimensional manifold is of both theoretical and practical value. In this article, we propose to combine deep neural networks (DNN) with mathematics-guided embedding rules for high-dimensional data embedding. We introduce a generic deep embedding network (DEN) framework, which is able to learn a...

Indoor Multi-Dimensional Location GML and Its Application for Ubiquitous Indoor Location Services

The Open Geospatial Consortium (OGC) Geography Markup Language (GML) standard provides basic types and a framework for defining geo-informational data models such as CityGML and IndoorGML, which provide standard information models for 3D city modelling and lightweight indoor network navigation. Location information, which is the semantic engine...

Feasibility study of a coupled numerical model for longshore sediment transport and beach response

As a good rule of thumb, one-line models have been in use for a wide range of coastal projects for the past 30 years to predict the beach morphological change and make the appropriate shoreline management plans. Though applied to many coastal sites with certain success, these models are still under further development so as to achieve better...