Abstract

Abstract
This paper presents a study concerning the role of channel length scaling on IGZO TFT technology benchmark parameters, which are fabricated at temperatures not exceeding 180 degrees C. The parameters under investigation are unity current-gain cutoff frequency, intrinsic voltage-gain, and on-resistance of the bottom-gate IGZOTFTs. As the channel length varies from 160 to 3 mu m, the measured cutoff frequency increases from 163 kHz to 111.5 MHz, which is a superior value compared to the other competing low-temperature thin-film technologies, such as organic TFTs. On the other hand, for the same transistor dimensions, the measured intrinsic voltage-gain is changing from 165 to 5.3 and the on-resistance is decreasing from 1135.6 to 26.1 k Omega. TFTs with smaller channel length (3 mu m) have shown a highly negative turn-on voltage and hump in the subthreshold region, which can be attributed to short channel effects. The results obtained here, together with their interpretation based on device physics, provide crucial information for accurate IC design, enabling an adequate selection of device dimensions to maximize the performance of different circuit building blocks assuring the multifunctionality demanded by system-on-panel concepts.

Abstract
Dealing with increasing amounts of data creates the need to deal with redundant, inconsistent and/or complementary repositories which may be different in their data models and/or in their schema. Current data cleaning techniques developed to tackle data quality problems are just suitable for scenarios were all repositories share the same model and schema. Recently, an ontology-based methodology was proposed to overcome this limitation. In this paper, this methodology is briefly described and applied to a real scenario in the health domain with data quality problems. © 2016 ACM.

Abstract

Abstract
SCIP is a solver for a wide variety of mathematical optimization problems. It is written in C and extendable due to its plug-in based design. However, dealing with all C specifics when extending SCIP can be detrimental to development and testing of new ideas. This paper attempts to provide a remedy by introducing PySCIPOPT, a Python interface to SCIP that enables users to write new SCIP code entirely in Python. We demonstrate how to intuitively model mixed-integer linear and quadratic optimization problems and moreover provide examples on how new Python plug-ins can be added to SCIP.

Abstract
In this paper we address the transformation of whispered speech into natural voiced speech. Representative state-of-the-art solutions are first reviewed as well as a baseline algorithm. For the most part, these solutions fall in the realm of voice conversion strategies since the output signal is obtained as a projection of an input signal. In this paper, we propose a different approach that addresses flexible parametric synthesis of the voiced signal component, as well as its implantation on the whispered signal, in a linguistically consistent way and while trying to convey idiosyncratic information. The most critical functions of phonetic segmentation, spectral envelope estimation, arbitrary periodic wave shape synthesis, and F0 modulation, are described and their operation illustrated with examples.