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A Framework for Discrete Modeling of Juxtacrine signaling Systems

A Framework for Discrete Modeling of Juxtacrine Signaling Sy...

引用

ieee symposium on computational intelligence and Bioinformatics and computational Biology (CIBCB)

作者： Luiz C. S. Rozante Marco D. Gubitoso Sergio R. Matioli Department of Computer Science Imes University Brazil Institute of Mathematics and Statistics University of Sao Paulo Brazil Institute of Biosciences University of Sao Paulo Brazil

Juxtacrine signaling is intercellular communication, in which the receptor of the signal (typically a protein) as well as the ligand (also typically a protein, responsible for the activation of the receptor) are anchored in the plasma membranes, so that in this type of signaling the activation of the receptor depends on direct contact between the membranes of the cells involved. Juxtacrine signaling is present in many important cellular events of several organisms, especially in the development process. We propose a generic formal model (a modeling framework) for juxtacrine signaling systems that is a class of dynamic discrete systems. It possesses desirable characteristics in a good modeling framework, such as: a) structural similarity with biological models, b) capacity of operating in different scales of time and c) capacity of explicitly treating both the events and molecular elements that occur in the membrane, and those that occur in the intracellular environment and are involved in the juxtacrine signaling process. We implemented this framework and used to develop a new discrete model for the neurogenic network and its participation in neuroblast segregation

关键词： Communication system signaling Biomembranes Proteins Biological system modeling Mathematical model signal processing Cells (biology) Production computational intelligence Bioinformatics

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Sparse approximation using fast matching pursuit

Sparse approximation using fast matching pursuit

引用

ieee International symposium on Intelligent signal processing and Communication Systems (ISPACS)

作者： Tao Gan Yanmin He Weile Zhu School of Electronic Engineering University of Electronic Science and Technology Cheng China

Matching pursuit based on geometric dictionary has shown to be a powerful tool for sparse image representation. The main obstacle to its application in real world is the computational complexity. In this paper, a modified algorithm is presented to address this issue. The dictionary with anisotropic refinement atoms is used to provide the approximation ability. Meanwhile the pursuit implementation is significantly speeded up by employing both sequential and parallel techniques. Experimental results show that compared to the latest matching pursuit approach, the proposed algorithm offers a speedup of 27.7-36.7 while maintaining the approximation quality. It is very promising for flexible image coding at low bit rate.

关键词： Matching pursuit algorithms Dictionaries signal processing algorithms image coding Greedy algorithms computational complexity Anisotropic magnetoresistance Approximation algorithms Pursuit algorithms image decomposition

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Color removal method based on signed color distance and nonlinear projection

Color removal method based on signed color distance and nonl...

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ieee International symposium on Intelligent signal processing and Communication Systems (ISPACS)

作者： Go Tanaka Noriaki Suetake Eiji Uchino Graduate School of Science and Engineering Yamaguchi University Yamaguchi Japan

In the typical photo re-touching software, in order to convert a color image into a monochrome one, only luminance components of the color image are extracted, and are used to represent the monochrome image. This luminance extraction is useful and enough for obtaining a monochrome image in most cases. However, saliencies of the image included only in the chrominance components are not preserved at all. In this study, we propose a new color removal method that takes difference of the chrominance into account in addition to luminance of an image. The effectiveness of the proposed method is verified by applying it to some images.

关键词： Color image converters signal processing Communication system software Sun Reflection Optimization methods computational complexity Smart pixels

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P1A-11 Non-Linear Effects of signal to image Mapping in Voxel-Driven SAFT Based Reconstruction Approaches

P1A-11 Non-Linear Effects of Signal to Image Mapping in Voxe...

引用

ieee symposium (IUS) Ultrasonics

作者： M. Zapf G. F. Schwarzenberg M. Karl N. V. Ruiter Institute for Data Processing and Electronics Forschungszentrum Karlsruhe GmbH (FZK) Karlsruhe Germany

For our current 3D demonstrator system for ultrasound computer tomography (USCT) a synthetic aperture based image reconstruction is implemented whose calculation time is in the order of days. Faster approximations might lead to large errors for our USCT setup which uses many multistatic emitter-receiver combinations. The aim of this work is the analysis of non-linear signal to image mapping for a cylindrical aperture and quantify the errors of computational less complex approximations. Four approaches with increasing computational complexity were implemented, tested with the cylindrical setup and compared to a commonly used linear transducer setup. For the linear aperture the second approximation leads to satisfying results. For the more diverging USCT setup a more accurate approximation is needed: the third approximation, which is still less computational expensive as the ground-truth implementation, gives satisfying results.

关键词： signal mapping image reconstruction Apertures Ultrasonic imaging Tomography Computer errors image analysis signal analysis computational complexity Testing

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More Efficient Classification of Web Content Using Graph Sampling

More Efficient Classification of Web Content Using Graph Sam...

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ieee symposium on computational intelligence and Data Mining (CIDM)

作者： Chris Bennett Department of Computer Science University of Georgia Athens GA USA

In mining information from very large graphs, processing time as well as system memory become computational bottlenecks as the properties of large graphs must be compared through each iteration of an algorithm. This is a particularly pronounced problem for complex properties. For example, distance metrics are used in many fundamental data mining algorithms including k-nearest neighbors for the classification task. Even the relatively efficient distance and similarity heuristics for large inputs, though, often require processing and memory well beyond linear with respect to the size of the input, and this rapidly becomes intractable with very large inputs. Complex properties such as the distance between two graphs can be extremely costly, but using samples of these large graphs to calculate the same properties proves to reduce memory requirements and processing time significantly without sacrificing quality of classification. Because the vast amount of Web data is easily and robustly represented with graphs, a data reduction technique that preserves the accuracy of mining algorithms on such inputs is important. The sampling techniques presented here show that very large graphs of Web content can be condensed into significantly smaller yet equally expressive graphs that lead to accurate but more efficient classification of Web content

关键词： Sampling methods Data mining Robustness Clustering algorithms Sorting computational intelligence Computer science USA Councils Information systems image processing

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Synchronization in Complex Dynamical Networks

Synchronization in Complex Dynamical Networks

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ieee symposium on computational intelligence and Bioinformatics and computational Biology (CIBCB)

作者： Karsten Kube Andreas Herzog Bernd Michaelis Ana D. de Lima Thomas Voigt Institute of Electronics Signal Processing and Communication Otto-von-Guericke University of Magdeburg Magdeburg Germany

Excitatory recurrent networks, while confirmed in theory, have not been intensely studied by simulation focused on synchronization properties. In our research, we validate on the basis of complex network models, the refinement of degree and link-level deepness, which embodies principles of topological structural nature with emphasis on the relationship between the topology and the dynamics of such complex networks. Biologically plausible excitatory networks that are maintaining this structure, develop a stable synchronized pattern of activity depending on spontaneous activity and synaptic refractoriness. We show that by fixed synaptic weights the synchronous bursts of oscillatory activity are stable and involve the whole network. As a result, by investigating conditions for synchronized oscillatory activity in several types of networks, we found that 'small world' networks with a higher proportion of long connections can sustain a higher degree of synchronization

关键词： Neurons Virtual manufacturing Biological system modeling Complex networks Biomembranes Equations computational intelligence Bioinformatics computational biology computational modeling

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Fast and efficient MRF-based blotch detection algorithm for degraded film sequences

Fast and efficient MRF-based blotch detection algorithm for ...

引用

ieee International symposium on Intelligent signal processing and Communication Systems (ISPACS)

作者： Sang-Churl Nam Masahide Abe Masayuki Kawamata Department of Electronic Engineering Graduate School of Engineering University of Tohoku Sendai Japan

This paper proposes an efficient blotch detection algorithm based on a Markov Random Field (MRF) model with less computational complexity and with lower false alarm rate than the existing MRF-based blotch detection algorithms. In our algorithm, by restricting the attention of the detection process only to the candidate blotch detection areas, our proposed algorithm can save the computational time for detecting the blotches. The problem of the confusion with the blotches is frequently seen in the vicinity of the moving object due to the poorly estimated motion vectors. To solve the problem, we first find the moving edge pixels using the significant test between the forward and backward motion-compensated frames, and then incorporate the weighting function with respect to the detected moving edge pixels into the MRF model. Experimental result shows that our proposed method provides the computational simplicity and an efficient detecting performance for the blotches.

关键词： Detection algorithms Degradation image restoration Detectors signal processing algorithms Markov random fields image edge detection Motion pictures image sequences computational efficiency

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SPARSE signal AND image RECOVERY FROM COMPRESSIVE SAMPLES

SPARSE SIGNAL AND IMAGE RECOVERY FROM COMPRESSIVE SAMPLES

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ieee International symposium on Biomedical Imaging

作者： Emmanuel Candes Nathaniel Braun Michael Wakin Applied and Computational Mathematics California Institute of Technology USA

ISBN: (纸本)9781424406715;1424406714

In this paper we present an introduction to compressive sampling (CS), an emerging model-based framework for data acquisition and signal recovery based on the premise that a signal having a sparse representation in one basis can be reconstructed from a small number of measurements collected in a second basis that is incoherent with the first. Interestingly, a random noise-like basis will suffice for the measurement process. We will overview the basic CS theory, discuss efficient methods for signal reconstruction, and highlight applications in medical imaging

关键词： image coding image reconstruction signal sampling Wavelet transforms Wavelet coefficients image sampling Data acquisition Noise measurement Fourier transforms signal processing

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Designing a Fuzzy Rule Based System to Estimate Depth of Anesthesia

Designing a Fuzzy Rule Based System to Estimate Depth of Ane...

引用

ieee symposium on computational intelligence and Data Mining (CIDM)

作者： V. Esmaeili A. Assareh M. B. Shamsollahi M. H. Moradi N. M. Arefian Biomedical Signal and Image Processing Laboratory (BiSIPL) Sharif University of Technology Iran Amirkabir University of Technology슠 Iran Department of Anesthesia Shahid Beheshti University Iran

Estimating the depth of anesthesia (DOA) is still a challenging area in anesthesia research. The objective of this study was to design a fuzzy rule based system which integrates electroencephalogram (EEG) features to quantitatively estimate the DOA. The proposed method is based on the analysis of single-channel EEG using frequency and time domain features as well as Shannon entropy measure. The fuzzy classifier is trained with features obtained from four subsets of data comprising well-defined anesthesia states: awake, moderate, general anesthesia, and isoelectric. The classifier extracts efficient fuzzy if-then rules and the DOA index is derived between 100 (full awake) to 0 (isoelectric) using fuzzy inference engine. To validate the proposed method, a clinical study has conducted on 22 patients to construct 4 subsets of reference states and also to compare the results with CSM monitor (Danmeter, Denmark), which has revealed satisfactory correlation with clinical assessments

关键词： Fuzzy systems Knowledge based systems Anesthesia Direction of arrival estimation Electroencephalography Frequency domain analysis Time domain analysis Entropy Frequency measurement Time measurement

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Super-resolution images by support vector regression on edge pixels

Super-resolution images by support vector regression on edge...

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ieee International symposium on Intelligent signal processing and Communication Systems (ISPACS)

作者： Tsz-Chun Ho Bing Zeng Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Kowloon Hong Kong China

Support vector machine (SVM) is a statistical learning algorithm that is capable of estimating high-dimensional functions. Recently, support vector regression (SVR) - the use of SVM for regression - has been used to generate super-resolution images. In this paper, we propose to apply the SVR algorithm on edge pixels only so as to reduce the emboss effect that would appear in the edge region of an enlarged image if the SVR is applied on the entire input image. Such a modification is naturally motivated by the principle that human perception is mainly focusing on edge regions. Doing so can also reduce the overall time consumed during the training process and makes the enlarged image looking more pleasant perceptually.

关键词： image resolution Pixel image edge detection signal processing algorithms Support vector machines signal resolution Interpolation image generation Machine intelligence signal processing

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