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Device Characterization (device + characterization)

Distribution by Scientific Domains

Polymers and Materials Science	50%

Selected Abstracts

Tunable Memory Characteristics of Nanostructured, Nonvolatile Charge Trap Memory Devices Based on a Binary Mixture of Metal Nanoparticles as a Charge Trapping Layer,

ADVANCED MATERIALS, Issue 2 2009
Jang-Sik Lee
Tunable memory characteristics are investigated according to the metal-nanoparticle species being used in memory devices. The memory devices are fabricated using diblock copolymer micelles as templates to synthesize nanoparticles of cobalt, gold, and a binary mixture thereof. Programmable memory characteristics show different charging/discharging behaviors according to the storage element configurations as confirmed by nanoscale device characterization. [source]

Fabrication of Low-Temperature Co-Fired Ceramics Micro-Fluidic Devices Using Sacrificial Carbon Layers

INTERNATIONAL JOURNAL OF APPLIED CERAMIC TECHNOLOGY, Issue 5 2005
H. Birol
Ease of fabrication and design flexibility are two attractive features of low-temperature co-fired ceramics (LTCC) technology for fabrication of complex micro-fluidic devices. Such structures are designed and processed using different shaping methods, the extent and complexity of which depends on the final device specifications (dimensions, and mechanical and functional properties). In this work, we propose a sacrificial layer method based on carbon-black paste, which burns out during the LTCC firing stage. The article will summarize the preparation of the paste, influence of processing conditions on the final dimensions, and demonstrate the mechanically integrated structures obtained using this technique. Some of these are membranes of various diameters (7,12 mm) with a thickness of 40 ,m and a variety of internal spacing (15,60 ,m), free-hanging thick-film resistor bridges on LTCC for heating micro-volumes. The main methods of the study will be thermogravimetric analysis (TGA), scanning electron microscopy (SEM), and dilatometry in addition to electronic instruments for device characterization. [source]

Media-dependent color appearance modeling based on artificial neural networks

COLOR RESEARCH & APPLICATION, Issue 3 2006
Binghua Chai
Abstract In this study, we tried to consider various color appearance factors and device characterization together by visual experiment to simplify the across-media color appearance reproduction. Two media, CRT display (soft-copy) and NCS color atlas (hard-copy), were used in our study. A total of 506 sample pairs of RGB and HVC, which are the attributes of NCS color chips, were obtained according to psychophysical experiments by matching soft copy and hard copy by a panel of nine observers. In addition, a set of error back-propagation neural networks was used to realize experimental data generalization. In order to get a more perfect generalizing effect, the whole samples were divided into four parts according to different hues and the conversion between HVC and RHVCGHVCBHVC color space was implemented. The current results show that the displays on the CRT and the color chips can match well. In this way, a CRT-dependent reproduction modeling based on neural networks was formed, which has strong practicability and can be applied in many aspects. © 2006 Wiley Periodicals, Inc. Col Res Appl, 31, 218,228, 2006; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/col.20209 [source]

Accurate estimation of the nonlinearity of input/output response for color cameras

COLOR RESEARCH & APPLICATION, Issue 6 2004
Vien Cheung
Abstract This study investigates techniques for accounting for the nonlinearity of the input/output response of a camera system. A simple power-law form of the nonlinearity was assumed and estimates of the value for the exponent for each of the color channels were made using three different methods. The responses from an Agfa StudioCam camera were linearized and then device characterization was attempted. Characterization errors were up to 10% better using the spectral-sensitivities-based method for estimating the nature of the nonlinearity than using the other two methods. We therefore suggest that the spectral-sensitivities-based method should be preferred for characterization or any other computational process that requires linearization of the camera responses. We expect greater benefits using this method for "low-end" camera systems and/or for cameras where the spectral sensitivities are known or more precisely estimated. We also expect the smoothness of the illumination to influence the error in the estimates of the nonlinearity using the luminance- and mean-reflectance-based methods. © 2004 Wiley Periodicals, Inc. Col Res Appl, 29, 406,412, 2004; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/col.20061 [source]