A software tool that facilitates the development of image reconstruction algorithms, and the design of optimal capacitance sensors for a capacitance-based 12-electrode tomographic flow imaging system are described. The core of this software tool is the finite element (FE) model of the sensor, which is implemented in OCCAM-2 language and run on the Inmos T800 transputers. Using the system model, the in-depth study of the capacitance sensing fields and the generation of flow model data are made possible, which assists, in a systematic approach, the design of an improved image-reconstruction algorithm. This algorithm is implemented on a network of transputers to achieve a real-time performance. It is found that the selection of the geometric parameters of a 12-electrode sensor has significant effects on the sensitivity distributions of the capacitance fields and on the linearity of the capacitance data. As a consequence, the fidelity of the reconstructed images are affected. Optimal sensor designs can, therefore, be provided, by accommodating these effects.

No abstract

ABSTRACT. Successful waterfront redevelopment requires an understanding of global processes and an appreciation of the distinctiveness of port‐city locations. Waterfront revitalization occurs at the problematic and controversial interface between port function and the broader urban environment. It reflects varied forces and trends, involves community attitudes and environmental sensitivities, and influences transport evolution and urban change. The revitalization phenomenon is examined using community attitudes in Canada and urban regeneration in East Africa to illustrate retrospective and prospective dimensions.

No abstract

No abstract