Abstract: Educating effective architect designers is an important
goal of architectural education. But what contributes to students-
performance, and to critical and creative thinking in architectural
design education? Besides teaching architecture students how to
understand logical arguments, eliminate the inadequate solutions and
focus on the correct ones, it is also crucial to teach students how to
focus on exploring ideas and the alternative solutions and seeking for
other right answers rather than one. This paper focuses on the
enhancing architectural design education and may provide
implications for enhancing teaching design.
Abstract: Tablet computers and Multifunctional Hardcopy Devices (MHDs) are common devices in daily life. Though, many scientific studies have not been published. The tablet computers are straightforward to use whereas the MHDs are comparatively difficult to use. Thus, to assist different levels of users, we propose combining these two devices to achieve straightforward intelligent user interface (UI) and versatile What You See Is What You Get (WYSIWYG) document management and production. Our approach to this issue is to design an intelligent user dependent UI for a MHD applying a tablet computer. Furthermore, we propose hardware interconnection and versatile intelligent software between these two devices. In this study, we first provide a state-of-the-art survey on MHDs and tablet computers, and their interconnections. Secondly we provide a comparative UI survey on two state-of-the-art MHDs with a proposal of a novel UI for the MHDs using Jakob Nielsen-s Ten Usability Heuristics Evaluation.
Abstract: The paper presents the design concept of a unitselection
text-to-speech synthesis system for the Slovenian language.
Due to its modular and upgradable architecture, the system can be
used in a variety of speech user interface applications, ranging from
server carrier-grade voice portal applications, desktop user interfaces
to specialized embedded devices.
Since memory and processing power requirements are important
factors for a possible implementation in embedded devices, lexica
and speech corpora need to be reduced. We describe a simple and
efficient implementation of a greedy subset selection algorithm that
extracts a compact subset of high coverage text sentences. The
experiment on a reference text corpus showed that the subset
selection algorithm produced a compact sentence subset with a small
redundancy.
The adequacy of the spoken output was evaluated by several
subjective tests as they are recommended by the International
Telecommunication Union ITU.