Building Transdisciplinary Urban Space (Part I): Theoretical Transurbanism

Transdisciplinary approaches to urban computing

Welcome to this special issue on transdisciplinary approaches to urban computing. Let us begin by discussing the two titular terms, transdisciplinarity and urban computing, and the reasons these two topics are so closely entwined. Transdisciplinarity as a term is, of course, built from the Latin word trāns, meaning “on the other side of,” and discipline, referring to scientific disciplines. In ...

Generalized Interference Alignment - Part I: Theoretical Framework

Interference alignment (IA) has attracted enormous research interest as it achieves optimal capacity scaling with respect to signal to noise ratio on interference networks. IA has also recently emerged as an effective tool in engineering interference for secrecy protection on wireless wiretap networks. However, despite the numerous works dedicated to IA, two of its fundamental issues, i.e., fea...

Part I The Building Blocks of Soil

Realistic Simulation of Urban Mesh Networks - Part I: Urban Mobility

It is a truism that simulations of mobile wireless networks (e.g., MANETs) are not realistic. There has been little effort in developing realistic mobility models and while propagation is well understood, it is rarely applied. In urban areas, the mobility of vehicles and pedestrians is greatly influenced by the environment (e.g., the location of buildings) as well as by interaction with other n...

Generalized Hidden Markov Models—Part I: Theoretical Frameworks

This is the first paper in a series of two papers describing a novel generalization of classical hidden Markov models using fuzzy measures and fuzzy integrals. In this paper, we present the theoretical framework for the generalization and, in the second paper, we describe an application of the generalized hidden Markov models to handwritten word recognition. The main characteristic of the gener...