In this talk, I will present plasmonic nanofocusing inspired by the antenna radiation theory. Optimal plasmonic focusing can be achieved through matching the plasmonic structures to the spatial polarization distributi...
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The development of an optical fiber sensor for measuring resonances and characterizing the amplitude response of piezoelectric transducers is reported. The method based on the use of an extrinsic Fabry-Perot interfero...
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The development of an optical fiber sensor for measuring resonances and characterizing the amplitude response of piezoelectric transducers is reported. The method based on the use of an extrinsic Fabry-Perot interferometer allows the detection of the transducer deflection peaks which correspond to the piezo resonances. Amplitude response for 1-10 V excitation range is achieved by monitoring the piezoelectric amplitude variations. Linear response with 9.7% amplitude variation/V sensitivity and resonances measurement with a
In this paper, we present a novel statistical reconstruction method based on Compton noise suppression for Digital Breast Tomosynthesis. The physical modeling for X-ray's interaction with tissues was investigated....
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Digital breast tomosynthesis is a novel breast cancer detection technique by allowing the reconstruction of arbitrary planes in the breast from a set of limited-angle projection images acquired at different view angle...
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Image reconstruction based on inverse problems has the potential for providing good image quality in ultrasound imaging. In this paper, two Inverse Problems-Based (IPB) methods, i.e., Regularized Least Squares (RLS) a...
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Image reconstruction based on inverse problems has the potential for providing good image quality in ultrasound imaging. In this paper, two Inverse Problems-Based (IPB) methods, i.e., Regularized Least Squares (RLS) and the iterative Conjugated Gradient (CG), are evaluated in comparison to the traditional Delay-And-Sum (DAS) Beamrfoming method. It is shown an improvement from 0:36mm to 0:2mm for the axial resolution when comparing the traditional DAS method with the IPB methods, showing the high potential of the method for improving image quality. Similarly, an improvement from 0:5mm to 0:2mm in lateral resolution was found. Further evaluation need to be carried out using data from actual ultrasound systems when noise and speckle is expected.
Error-correction coding is essentially a signal processing technique that is used to improve the reliability of digital communication systems. In the Information Set (IS) decoding a collection of information sets are ...
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Error-correction coding is essentially a signal processing technique that is used to improve the reliability of digital communication systems. In the Information Set (IS) decoding a collection of information sets are used to generate candidate codewords. The procedure then selects as the decoded codeword the one which is closest to the received sequence. This decoding approach can reduces the complexity and time processing in comparison to maximum-likelihood decoding (MLD), and may presents the same decoding level. The performance of the IS algorithm depends on the number of error patterns that the collection of information sets can cover. There are no known constructive procedures for finding optimum collection of information sets. This paper presents an approach for obtaining optimum collections of information sets using genetic algorithms. Using this approach we found, in short time, collections of information sets with high covering capacity. Results from computer simulation show that the performance of the IS algorithm with optimized collections is nearly identical to the maximum-likelihood decoding.
Western blotting readily identifies specific proteins amidst complex biological backgrounds [1, 2]. Nevertheless, immunob-lotting suffers from tremendous labor-intensive and time-intensive requirements [3]. The slab-g...
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ISBN:
(纸本)9781618395955
Western blotting readily identifies specific proteins amidst complex biological backgrounds [1, 2]. Nevertheless, immunob-lotting suffers from tremendous labor-intensive and time-intensive requirements [3]. The slab-gel assays require 1-2 days for completion with multiple hands-on "blotting" steps and yield semi-quantitative information. Recently, our group has introduced new approaches for completing Western blotting. The microfluidic integration strategies introduced and used allow rapid results reporting, full assay automation, and limited sample consumption (1-10 uL). Our integration strategies use spatial, temporal, and spatiotemporal modulation of separation mechanisms in fully electrophoretic systems. The present study reports on recapitulation of immunoaffinity in previously sized proteins, using novel in-transit electrophoretic removal of SDS from SDS-protein complexes. Early results show both the length- and timescales for protein 'renaturation' are compatible with on-chip operation. Further, substantial binding affinity is recapitulated using this streamlined and promising approach.
This paper consists in a novel transport protocol description for Delay-Tolerant Networks and Disruption Tolerant Networks (both DTN). This protocol was designed to offer a better information delivery rate in DTNs sce...
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This paper consists in a novel transport protocol description for Delay-Tolerant Networks and Disruption Tolerant Networks (both DTN). This protocol was designed to offer a better information delivery rate in DTNs scenarios. Fountain codes techniques are used to achieve our needs. The performance results were tested taking into account the hosts buffer size, the TTL (Time To Live) of the messages and the amount of redundant information generated into the network. A better delivery rate and performance were achieved using the proposed protocol.
Due to increasing demand, container terminals face the challenges of increasing its service capacity and minimize the time of ships loading and unloading. The assignment of storage locations for reshuffled containers ...
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Due to increasing demand, container terminals face the challenges of increasing its service capacity and minimize the time of ships loading and unloading. The assignment of storage locations for reshuffled containers is a problem to the efficiency of container terminals operations, as a wrong assignment may result in several future reshuffles. This paper proposes a meta-heuristic based on the Clonal Selection Algorithm to minimize reshuffle when retrieving containers from a stack. The model competitiveness in accuracy and time are established by extensive numerical experiments comparing with an existing Integer program model. The preliminary results obtained here suggest the proposed model is a promising optimization tool for the container stacking problem.
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