On Getting First Things First: Assessing Claims for the Primacy of Christ

Adopting modal logic the doctrine of the primacy of Christ is defined and defended in relation to the Thomistic – Scotistic debates over the primary and efficient causes of the incarnation. This leads to a defence of the Scotistic thesis and a reserved affirmation for the Scotistic hypothesis that there would have been an incarnation irrespective of the fall. This hypothesis is tested by reference to the work of four recent theologians, Thomas Weinandy O.F.M. cap., Karl Barth, J¨urgen Moltmann, and Thomas Torrance. Finally, a sketch describ-ng another possible-world incarnation that builds upon the Scotistic hypothesis is provided

On the difference-to-sum power ratio of speech and wind noise based on the Corcos model

The difference-to-sum power ratio was proposed and used to suppress wind noise under specific acoustic conditions. In this contribution, a general formulation of the difference-to-sum power ratio associated with a mixture of speech and wind noise is proposed and analyzed. In particular, it is assumed that the complex coherence of convective turbulence can be modelled by the Corcos model. In contrast to the work in which the power ratio was first presented, the employed Corcos model holds for every possible air stream direction and takes into account the lateral coherence decay rate. The obtained expression is subsequently validated with real data for a dual microphone set-up. Finally, the difference-to- sum power ratio is exploited as a spatial feature to indicate the frame-wise presence of wind noise, obtaining improved detection performance when compared to an existing multi-channel wind noise detection approach.Comment: 5 pages, 3 figures, IEEE-ICSEE Eilat-Israel conference (special session

Broadband DOA estimation using Convolutional neural networks trained with noise signals

A convolution neural network (CNN) based classification method for broadband DOA estimation is proposed, where the phase component of the short-time Fourier transform coefficients of the received microphone signals are directly fed into the CNN and the features required for DOA estimation are learnt during training. Since only the phase component of the input is used, the CNN can be trained with synthesized noise signals, thereby making the preparation of the training data set easier compared to using speech signals. Through experimental evaluation, the ability of the proposed noise trained CNN framework to generalize to speech sources is demonstrated. In addition, the robustness of the system to noise, small perturbations in microphone positions, as well as its ability to adapt to different acoustic conditions is investigated using experiments with simulated and real data.Comment: Published in Proceedings of IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) 201

Adoption of alternative transport technologies in the construction industry

This research examines how the construction industry adopts alternative transport technologies. This paper presents the general characteristics of the adopter and what his perceptions are towards innovative transport technologies. The study focused on four rates of innovation, related tot alternative transport technologies. The results show that 83% of the respondents choose innovation over no innovation; more than half of the respondents choose an innovation that can be characterized as “architectural”. Further, the perceived benefits of the innovation characteristics for an incremental innovation are higher then the perceived benefits for an architectural or radical innovation. Finally, from the ventures that chose to innovate, smaller companies prefer an architectural - more challenging - innovation rather then an incremental innovation