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International Conference on Communication Systems and Network Technologies

作者： Mittal, Poornima Kumar, Brijesh Negi, Y.S. Kaushik, B.K. Singh, R.K. Electronics and Communication Engineering Graphic Era University-Dehradun Dehradun India Polymer Science and Technology Program DPT Indian Institute of Technology-Roorkee Roorkee India Department of Electronics and Computer Engineering Indian Institute of Technology-Roorkee Roorkee India Electronics and Communication Engineering Uttarakhand Technical University-Dehradun Dehradun India

ISBN: (纸本)9780769544373

Organic Thin Film Transistors (OTFTs) are promising devices for future development of variety of low-cost and large-area electronics applications such as flexible displays. This paper analyzes the performance of OTFT made of several organic semiconducting and insulating materials and further discusses their applications. Analysis of previous research work demonstrates that the mobility in OTFT decreases when the product of semiconducting film thickness and gate capacitance per unit area increases. The decrease is specified by a power law function with parameters for several organic semiconductors. OTFT characteristics have undergone spectacular improvements during the last few years. This paper explores the effect of variation of channel length from 40 nm to 20 nm on drain current for pentacene bottom contact structure. Variations in these quantities maps to variations in the electrical behaviour of devices. It has been found that drain current increases due to decrease in length of organic thin film conducting channel. It reviews recent progress in parameter properties for device designs and applications related to OTFTs. The performance of OTFTs is evaluated in terms of mobility, on/off current ratio, threshold voltage and sub threshold slope. This paper thoroughly discusses the overall performance and applications of OTFTs in various fields. © 2011 IEEE.

关键词： Drain current

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Capacitance Humidity Sensor

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MRS Online Proceedings Library 2011年第1期382卷 469-475页

作者： Andrew R. K. Ralston Paul E. Thoma Carl F. Klein Denice D. Denton Materials Science Program Department of Electrical and Computer Engineering and Department of Chemistry University of Wisconsin-Madison Madison USA Central Research Johnson Controls Inc. Milwaukee USA

A capacitance relative humidity (RH) sensor is described that has a design, construction, and material composition that result in an inexpensive and robust sensor. This sensor has a multilayer, free-standing film construction. It consists of a humidity sensitive polyimide (PI) dielectric core and conductive layers consisting of carbon filled polysulfone on each side of the polyirnide film to form a capacitor. The polyimide used is a BPDA-ODA type, and replaces a PMDA-ODA type polyimide used in a previous version of this sensor. The BPDA-ODA sensor has a nominal capacitance of 200 pF and a nominal sensitivity of 13% at 100% RH. The characteristics of this humidity sensor are discussed and compared to the characteristics of the PMDA-ODA type sensor. Characteristics considered include the PI film moisture uptake and water vapor transmission, and the sensors’ sensitivity to relative humidity, frequency response, and aging at 85°C/85% RH. The dual-state sorption model and free volume calculations are used to demonstrate that observed differences in the film are due to differences in chemical composition between the films.

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Face recognition using skin color segmentation and template matching algorithms

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Information Technology Journal 2011年第12期10卷 2308-2314页

作者： Wang, Zhiwen Li, Shaozi Department of Computer and Engineering Guangxi University of Technology Liuzhou China Department of Cognitive Science Xiamen University Xiamen China Key Laboratory of the Brain-Like Intelligent Systems Xiamen University Xiamen China

Currently, relatively popular and representative face recognition algorithms are algorithm based on template matching and algorithms based on skin-color segmentation. The computation of recognition algorithm based on template matching is very high and the recognition rate of recognition algorithms based on skin color segmentation is low and is vulnerable to the impact of background which is similar with skin color, In order to overcome these deficiencies, face recognition using skin color segmentation and template matching algorithm is presented in this study. According to the clustering properties that the skin-color of human faces emerge in the YCbCr color space, the regions closing to facial skin color are separated from the image by using Gaussian mixture model in order to achieve the purpose of rapidly detecting the external face of human face. Adaptive template matching is used to overcome the affect of the backgrounds which are similar with skin color on face detection and recognition. Computation in the matching process is reduced by using the second matching algorithm. Extraction of face images by using singular value features is used to identify faces and to reduce the dimensions of the eigenvalue matrix in the process of facial feature extraction. Experimental results show that proposed method can rapidly detect and recongnise human faces and improve the accuracy of face detection and recognition. © 2011 Asian Network for Scientific Information.

关键词： Template matching

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Improving protein-RNA interface prediction by combining sequence homology based method with a naive bayes classifier: Preliminary results 11

Improving protein-RNA interface prediction by combining sequ...

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2011 ACM Conference on Bioinformatics, Computational Biology and Biomedicine, ACM-BCB 2011

作者： Xue, Li C. Walia, Rasna EL-Manzalawy, Yasser Dobbs, Drena Honavar, Vasant Bioinformatics and Computational Biology Program Iowa State University Ames IA 50011 United States Department of Genetics Development and Cell Biology Iowa State University Ames IA 50011 United States Department of Computer Science Iowa State University Ames IA 50011 United States Department of Systems and Computer Engineering Al-Azhar University Cairo Egypt

ISBN: (纸本)9781450307963

Protein-RNA interactions play important roles in cellular processes like protein synthesis, RNA processing, and gene expression regulation. Reliable identification of the interfaces involved in RNA-protein interactions is essential for comprehending the mechanisms and the functional implications of these interactions and provides a valuable guide for rational drug discovery and design. Because the determination of 3D structures of protein-RNA complexes has various technical limitations and is typically costly, reliable in silico interface prediction methods that require only the sequence information are urgently needed. We present HomPRIP, a homologous sequence based method for predicting protein-RNA interfaces, based on our conservation analysis of protein-RNA interfaces. We test Hom-PRIP on a benchmark dataset of 199 proteins and compare it with the state-of-the-art protein-RNA interface prediction methods. Our results show that HomPRIP can reliably identify protein-RNA interface residues in 71% of test proteins with at least one putative sequence homolog passing the similarity thresholds of HomPRIP. Moreover, to facilitate predictions for proteins with no identified homologs, we develop HomPRIP-NB, a method combining the HomPRIP predictor and a Naive Bayes (NB) classifier trained using evolutionary information derived from alignments against the NCBI nr database. Our results suggest that HomPRIP-NB significantly outperforms the state-of-the-art machine learning methods for predicting protein-RNA interface residues. Copyright © 2011 ACM.

关键词： Proteins

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QUANTITATIVE ANALYSIS OF MRI-MEASURED WATER MOBILITY INCREASES IN RESPONSE TO CHEMOTHERAPY VIA MULTIPLE CELL-DEATH MECHANISMS

QUANTITATIVE ANALYSIS OF MRI-MEASURED WATER MOBILITY INCREAS...

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第十三届国际体视学大会

作者： Will G Xia David Morse Robert J Gillies Bioengineering Program Department of Electrical Engineering and Computer Science University of Arizona Cancer Center Tueson AZ 85724USA

Numerous pre-clinical and clinical reports have demonstrated that the MRI-measured apparent diffusion coefficient of water(ADC) increases early in the response to a wide variety of anti-cancer *** has been proposed that this increase in ADC generally results from an increase in the tumor extracellular volume fraction leading to a greater degree of unrestricted water ***,an increase in extracellular volume has been ascribed to the cell shrinkage that occurs early in the process of programmed cell ***,other modes of death can be initiated soon after beginning *** other modes of death include mitotic catastrophe and necrosis,and may also involve changes in the fraction of water with unrestricted *** work quantitatively examines whether MRI-measured ADC is altered in response to therapies that induce cell death via non-apoptotic mechanisms and correlates ADC changes with cell death modalities regionally within the *** morphometric analysis show apoptotic responses were limited to the tumor periphery in apoptosis-proficient *** was not observed in deficient *** catastrophe was observed after treatment at the periphery and deeper into the *** was the predominant response in the center of the *** changes were moderate in the periphery and larger in the *** results indicate that early and significant changes in ADC can occur in concert with mitotic catastrophe and lytic necrosis in the absence of ***,changes in ADC may be a generalized measure of cytotoxic response to chemotherapy.

关键词： diffusion MRI imaging morphometry cell death

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Microfluidic actuators based on infrared-light responsive PNIPAAm hydrogel nanocomposite incorporating graphene-oxide

Microfluidic actuators based on infrared-light responsive PN...

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International Solid-State Sensors, Actuators and Microsystems Conference

作者： Lo, Chi-Wei Zhu, Difeng Jiang, Hongrui Materials Science Program University of Wisconsin-Madison WI 53706 United States Department of Electrical and Computer Engineering University of Wisconsin-Madison WI 53706 United States Eye Research Institute University of Wisconsin Madison Madison WI 53706 United States

ISBN: (纸本)9781457701573

In lab-on-a-chip systems, microactuators are critical to control the flow within the microchannels. Most of the current actuators require hardware connection (electromagnetic, thermopneumatic actuators, etc.) within the channels, thus significantly increasing the system complexity. Remotely controllable actuators would greatly simplify the system. We demonstrate nanocomposite microfluidic actuators remotely controlled by infrared (IR) light. These actuators are fabricated out of thermo-responsive poly-N- isopropylacrylamide (PNIPAAm) nanocomposite hydrogels incorporated with glycidyl methacylate functionalized graphene-oxide (GO-GMA). Two example devices were realized implementing such actuators: a microvalve and a tunable liquid microlens. © 2011 IEEE.

关键词： Hydrogels

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Accelerated oxidation of silicon due to x-ray irradiation

Accelerated oxidation of silicon due to x-ray irradiation

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European Conference on Radiation and its Effects on Components and Systems (RADECS)

作者： Shweta Bhandaru En Xia Zhang Daniel M. Fleetwood Robert A. Reed Robert A. Weller Sharon M. Weiss Interdisciplinary Graduate Program in Material Science Vanderbilt University Nashville TN USA Department of Electrical Engineering and Computer Science Vanderbilt University Nashville TN USA

Enhanced rates of oxide growth have been observed on silicon when exposed to high-energy x-ray irradiation. This observed effect could potentially be utilized for remote total ionizing dose-sensing applications.

关键词： Silicon Radiation effects Oxidation Atomic measurements Temperature measurement Optical sensors Atomic layer deposition

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Improving node localization in WSN by using obstruction level indicator

Improving node localization in WSN by using obstruction leve...

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IEEE International Conference on Systems, Man and Cybernetics

作者： Salvador Jauregui-Ortiz Mario Siller Felix Ramos Edson Escalabrin Electrical Engineering and Computer Science Department Center of Research and Advanced Studies Guadalajara Jalisco Mexico Graduate Program in Computer Science Pontifical Catholic University of Parana Brazil Curitiba Parana Brazil

Wireless sensor networks can be used in habitat monitoring for detecting fire, in disaster for helping rescue teams and in agriculture for sensing humidity. Node localization is essential for some important sensor network applications. Despite the high relative accuracy of some localization algorithms, node localization is still an opened research area, due to the physical phenomena such as attenuation, reflection, diffraction, scattering and so forth. The current developed algorithms have different accuracy when are tested under dissimilar environments. We propose to use Smart Beacon Nodes (SBNs) to infer the Obstruction Level Indicator over an occupied area, then, use this indicator for estimating the distance among nodes. In our experimental simulation, SBNs decrease the node localization error of Triangular Centroid Localization and Weighted Centroid Localization up to 18%.

关键词： Accuracy Wireless sensor networks Estimation Testing Attenuation Databases Radar

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A probabilistic approach to spatio-spectral filters optimization in Brain-computer Interface

A probabilistic approach to spatio-spectral filters optimiza...

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IEEE International Conference on Systems, Man and Cybernetics

作者： Heung-Il Suk Seong-Whan Lee Department of Computer Science and Engineering Korea University Anam-dong Seongbuk-ku Seoul Korea Department of Brain and Cognitive Engineering Korea University Anam-dong Seongbuk-ku Seoul Korea

EEG-based motor imagery classification has been widely studied for Brain-computer Interfaces (BCIs) due to its asynchronous and continuous elicitation and its great potential to many applications. Many research groups have devoted their efforts to either the frequency band selection or optimal spatial filters learning via the Common Spatial Pattern (CSP) algorithm. However, since the spectral filtering and the spatial filtering are generally operated in order in a motor imagery classification system the optimization of the spatial filters and the spectral filters should be considered simultaneously in a unified framework. In this paper, we propose a novel probabilistic approach for the spatio-spectral filters optimization in an EEG-based BCI with a particle-filter algorithm and mutual information between feature vectors and class labels. There are two main contributions of the proposed method. The one is that it finds the optimal frequency bands that maximally discriminate the feature vectors of two classes in terms of an information theoretic approach. The other is that we construct a spectrally-weighted label decision rule by linearly combining the outputs from multiple SVMs, one for each frequency band, with the weight of the corresponding frequency band. From our experiments with two publicly available dataset, we confirm that the proposed method outperforms the other competing methods.

关键词： Electroencephalography Feature extraction Vectors Optimization Entropy Mutual information Training

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On the ergodic secrecy capacity of the wiretap channel under imperfect main channel estimation

On the ergodic secrecy capacity of the wiretap channel under...

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Asilomar Conference on Signals, Systems & computers

作者： Zouheir Rezki Ashish Khisti Mohamed-Slim Alouini Electrical Engineering Program Physical Science and Engineering Division King Abdullah University for Science and Technology Thuwal Makkah Saudi Arabia Electrical and Computer Engineering Department University of Toronto Toronto ONT Canada

ISBN: (纸本)9781467303217

The ergodic secrecy capacity of the wiretap channel is known when the main channel (between the transmitter and the legitimate receiver) state information (CSI) is perfect at the transmitter and the coherence period is sufficiently large to enable random coding arguments in each block. In a fast fading scenario, when the codeword length spans many coherence periods, the secrecy capacity is still not known. In this paper, we present a framework that characterizes this secrecy capacity under imperfect main channel estimation at the transmitter. Inner and outer bounds on the ergodic secrecy capacity are derived for a class of independent identically distributed (i.i.d.) fading channels. The achievable rate is a simple on-off scheme using a Gaussian input. The upper bound is obtained using an appropriate correlation scheme of the main and the eavesdropper channels. The upper and the lower bounds coincide with recently derived ones in the perfect main CSI extreme. Furthermore, the lower bound matches the upper bound in no main CSI extreme, where the secrecy capacity is equal to zero. Numerical results are provided for independent identically distributed (i.i.d.) Rayleigh fading channels.

关键词： Integrated circuits Channel estimation Signal to noise ratio Cryptography Antennas

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