In this talk, I will present examples of plasmonic nanofocusing devices inspired by the polarization mode matching concept in antenna theory. These plasmonic devices can be applied in photo detector designs to provide...
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In this talk, I will present examples of plasmonic nanofocusing devices inspired by the polarization mode matching concept in antenna theory. These plasmonic devices can be applied in photo detector designs to provide added functionalities.
Background: Many recent studies have investigated modularity in biological networks, and its role in functional and structural characterization of constituent biomolecules. A technique that has shown considerable prom...
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Background: Many recent studies have investigated modularity in biological networks, and its role in functional and structural characterization of constituent biomolecules. A technique that has shown considerable promise in the domain of modularity detection is the Newman and Girvan (NG) algorithm, which relies on the number of shortest-paths across pairs of vertices in the network traversing a given edge, referred to as the betweenness of that edge. The edge with the highest betweenness is iteratively eliminated from the network, with the betweenness of the remaining edges recalculated in every iteration. This generates a complete dendrogram, from which modules are extracted by applying a quality metric called modularity denoted by Q. This exhaustive computation can be prohibitively expensive for large networks such as Protein-Protein Interaction Networks. In this paper, we present a novel optimization to the modularity detection algorithm, in terms of an efficient termination criterion based on a target edge betweenness value, using which the process of iterative edge removal may be terminated. Results: We validate the robustness of our approach by applying our algorithm on real-world protein-protein interaction networks of Yeast, *** and Drosophila, and demonstrate that our algorithm consistently has significant computational gains in terms of reduced runtime, when compared to the NG algorithm. Furthermore, our algorithm produces modules comparable to those from the NG algorithm, qualitatively and quantitatively. We illustrate this using comparison metrics such as module distribution, module membership cardinality, modularity Q, and Jaccard Similarity Coefficient. Conclusions: We have presented an optimized approach for efficient modularity detection in networks. The intuition driving our approach is the extraction of holistic measures of centrality from graphs, which are representative of inherent modular structure of the underlying network, and the applic
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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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. A Compton noise based statistical model with a conjugate prior was introduced. Results from our proposed method, Backprojection (BP) method, Simultaneous Algebraic Reconstruction Technique (SART) and Maximum Likelihood with Convex Algorithm (MLCA) were compared based on image quality analysis. Compared with other algorithms, our proposed method shows comparable performance. It also produces even better results in the Contrast to Noise Ratio (CNR) evaluation.
An electronic device for electrical stimulation and measurement of the skin impedance is described. The device allows to program any type of waveform for stimulating the skin. Two investigative experiments were perfor...
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An electronic device for electrical stimulation and measurement of the skin impedance is described. The device allows to program any type of waveform for stimulating the skin. Two investigative experiments were performed to assess the effects of different electrical pulse shapes in the pain sensation and in the measured electrical impedance values. The selective fibers stimulation was studied with two waveforms: quasi-trapezoidal and regular square pulse. Both waveforms had the same energy. Tests were performed by analyzing the pain intensity and skin impedance variation for these signals. The results showed that the pain intensity during the stimulation could be minimized using the proposed quasi-trapezoidal pulse. Moreover a slight difference in the skin impedance was also observed. The proposed device can be used as a tool for testing arbitrary signals in order to find out the best pattern for the selective stimulation of the human skin.
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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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 angles with a particular tube geometry setup. In this paper, filtered backprojection (FBP) was optimized as the reconstruction method with a parallel imaging breast tomosynthesis system. The slice thickness filter (profile filter) with task-adapted parameters was applied to computer simulated data, in order to investigate the main effects of this kind of filter regarding spatial resolution and artifacts in the reconstructed results.
As cyber-physical systems become more prevalent, specifications for these systems must be formulated in a more nuanced manner. This paper presents a particular instantiation of such specification by proposing a framew...
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As cyber-physical systems become more prevalent, specifications for these systems must be formulated in a more nuanced manner. This paper presents a particular instantiation of such specification by proposing a framework that endows robotic motions with a sense of aesthetic style. Drawing inspiration from classical ballet, poses are cast as discrete states and movements as the transitions between these states. Thus, a given movement style is encoded in the availability of transitions at each state, and the dynamics of a complex physical trajectory are abstracted as a system which moves between these states. Using Linear Temporal Logic (LTL), we are able to further constrain the set of possible sequences through the transition system and thus prevent it from evolving through a sequence of states that is physically impossible or aesthetically undesirable. Our overarching objective is to facilitate subtle degrees of control over systems as such subtleties are required, more and more, to interact in a social and aesthetically driven world.
Passivation of porous silicon sensors is a critical issue for achieving high sensitivity and selectivity toward biomolecule targets that may be detected in complex physiologic solution. Without appropriate passivation...
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Node failures in Wireless Sensor Networks composed by static sensor nodes are common due to the nature of the sensor devices and the usually harsh environments in which they are deployed. Node failures can diminish th...
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