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- Jun-Yang, Wang, 1960
(författare)
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Substance or Context. A Study of the Concept of Place
- 1995
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Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- During the recent decades the concept of place has been treated with intensity and frequency in architectural discourse. Much has been said about such issues as the sense of place, place versus placelessness, the loss of place and so on. This study surveys the concept of place as a theoretical issue of architecture in terms of two themes: place as substance and place as context. In light of these two themes, three further themes, called 'the immediate contextualism', 'towards an urban architecture' and 'spirits of place', are examined. The survey of "the immediate contextualism" starts from a shift from place as substance to place as context in the changing ideals of architecture during the second half of the 20th century. With the survey of the themes of 'towards an urban architecture' and 'the spirits of place', however, a re-shift from the place as context to place as substance becomes necessary, since what it is about with the first shift from place as substance to place as context on an architectural plane is, in the last analysis, not so much an issue of place as context as an issue of place as substance on an urban plane, namely, our cities. In regard to the changing nature of our cities, the study ends with an argument for open-minded concepts of place to rise to the challenge of new places.
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| 2. |
- Wang, Jianfeng, 1984-
(författare)
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Enhanced block sparse signal recovery and bayesian hierarchical models with applications
- 2019
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Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- This thesis is carried out within two projects ‘Statistical modelling and intelligentdata sampling in Magnetic resonance imaging (MRI) and positron-emission tomography(PET) measurements for cancer therapy assessment’ and ‘WindCoE -Nordic Wind Energy Center’ during my PhD study. It mainly focuses on applicationsof Bayesian hierarchical models (BHMs) and theoretical developments ofcompressive sensing (CS). Under the first project, Paper I improves the quantityestimation of MRI parametric imaging by utilizing inherent dependent structure inthe image through BHMs; Paper III constructs a theoretically unbiased and asymptoticallynormal estimator of sparsity of a sparsified MR image by using a BHM;Paper IV extends block sparsity estimation from real-valued signal recovery tocomplex-valued signal recovery. It also demonstrates the importance of accuratelyestimating the block sparsity through a sensitivity analysis; Paper V proposes anew measure, i.e. q-ratio block constrained minimal singular value, of measurementmatrix for block sparse signal recovery. An algorithm for computing thisnew measure is also presented. In the second project, Paper II estimates the uncertaintyof Weather Research and Forecasting (WRF) model’s daily-mean 2-metertemperature in a cold region by using a BHM. It is a computationally cheaper andfaster alternative to traditional ensemble approach. In summary, this thesis makessignificant contributions in improving and optimizing the estimation proceduresof parameters of interest in MRI and WRF in practice, and developing the novelestimators and measure under the framework of CS in theory.
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