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An interactive, multi-modal approach to analysing high-resolution image mass spectrometry data

An interactive, multi-modal approach to analysing high-resol...

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15th international workshop on Vision, Modeling and Visualization, VMV 2010

作者： Smit, F.A. Van Liere, R. Fornai, L. Heeren, R. CWI Amsterdam Netherlands AMOLF Amsterdam Netherlands

ISBN: (纸本)9783905673791

the output resolution of imaging mass spectrometers is increasing rapidly due to advances in engineering and the use of tiling. Imaging-MS data is often displayed as a total-ion-count (TIC) image;however, anatomical structures are not easily identifiable from TIC images. For this purpose, additional high-resolution images that originate from different imaging modalities, such as stained histological data, are preferred. these modalities are most useful when fused;i.e., when the corresponding images are spatially aligned with respect to each other. the viewing and analysis of such data is ideally performed in real-time and at the highest possible resolution, allowing users to interactively query the combination of all fused data at the highest detail. However, proper alignment between modalities and interactively presenting large volumes of data is as of yet a challenge. We present a system for the simultaneous viewing and analysis of high-resolution data from different imaging modalities. Fusion is provided in such a way that interaction in one modality can be mapped to different modalities. For example, anatomical structures can be identified from histological data and their spatial extent mapped to a corresponding region-of-interest in the image MS data, allowing the analysis of its chemical compounds. In turn, the MS data can be analysed and filtered, for example using multi-variate analysis such as PCA, and the result mapped back to structures in other modalities. Level-of-detail, region-of-interest and asynchronous data processing algorithms ensure that the system can be operated interactively at the highest resolution. © the Eurographics Association 2010.

关键词： Chemical analysis

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the effect of cluster location and dataset size on 2-stage k-means algorithm

The effect of cluster location and dataset size on 2-stage k...

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international workshop on Electronics, Control, Measurement and Signals (ECMS)

作者： Raied Salman Vojislav Kecman Computer Science Department Virginia Commonwealth University Richmond VA USA

Paper introduces the 2-stage k-means algorithm which is faster than the standard 1-stage k-means algorithm. the main idea of the 2-stages is to move, in the first stage (fast), the centers of the clusters closer to their final locations. this will be done by using a small part of the data to achieve faster calculation. the next stage (slow) stage will start from the centers found during the first stage (fast). Different initial locations of the clusters have been used while testing the algorithms here. With bigger datasets, it is shown that the 2-stage clustering method achieves better speed-up.

关键词： Clustering algorithms Convergence Clustering methods Algorithm design and analysis Program processors Arrays data mining

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10th Annual international Conference on Combinatorial Optimization and Applications, COCOA 2016

10th Annual International Conference on Combinatorial Optimi...

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10th Annual international Conference on Combinatorial Optimization and Applications, COCOA 2016

ISBN: (纸本)9783319487489

the proceedings contain 60 papers. the special focus in this conference is on Graph theory, Geometric Optimization, Complexity, data Structure, Combinatorial Optimization, Game theory and Miscellaneous. the topics include: On the capture time of cops and robbers game on a planar graph;the mixed evacuation problem;a comprehensive reachability evaluation for airline networks with multi-constraints;approximation and hardness results for the max k-uncut problem;on strong tree-breadth;computing a tree having a small vertex cover;improved precise fault diagnosis algorithm for hypercube-like graphs;total dual integrality of triangle covering;time-optimal broadcasting of multiple messages in 1-in port model;fast searching on complete k-partite graphs;cliques in regular graphs and the core-periphery problem in social networks;an introduction to coding sequences of graphs;on the complexity of extracting subtree with keeping distinguishability;graph classes and structural parameters;on local structures of cubicity 2 graphs;algorithmic aspects of disjunctive total domination in graphs;instance guaranteed ratio on greedy heuristic for genome scaffolding;minimum weight polygon triangulation problem in sub-cubic time bound;the mixed center location problem;constrained light deployment for reducing energy consumption in buildings;algorithms for colourful simplicial depth and medians in the plane;algorithmic analysis for ridesharing of personal vehicles;on the complexity of bounded deletion propagation;on residual approximation in solution extension problems;a linear potential function for pairing heaps and tackling common due window problem with a two-layered approach.

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Detection and segmentation of pathological structures by the extended graph-shifts algorithm

Detection and segmentation of pathological structures by the...

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10th international Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2007)

作者： Corso, Jason J. Yuille, Alan Sicotte, Nancy L. Toga, Arthur Univ Calif Los Angeles Ctr Computat Biol Lab Neuroimaging Los Angeles CA 90095 USA Univ Calif Los Angeles Dept Stat Los Angeles CA 90024 USA Univ Calif Los Angeles Dept Neurol Div Brain Mapping Los Angeles CA 90024 USA

ISBN: (纸本)9783540757566

We propose an extended graph-shifts algorithm for image segmentation and labeling. this algorithm performs energy minimization by manipulating a dynamic hierarchical representation of the image. It consists of a set of moves occurring at different levels of the hierarchy where the types of move, and the level of the hierarchy, are chosen automatically so as to maximally decrease the energy. Extended graph-shifts can be applied to a broad range of problems in medical imaging. In this paper, we apply extended graph-shifts to the detection of pathological brain structures: (i) segmentation of brain tumors, and (ii) detection of multiple sclerosis lesions. the energy terms in these tasks are learned from training data by statistical learning algorithms. We demonstrate accurate results, precision and recall in the order of 93%, and also show that the algorithm is computationally efficient, segmenting a full 3D volume in about one minute.

关键词： Image recognition

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Research on the RRB+ tree for resource reservation

Research on the RRB+ tree for resource reservation

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10th IFIP international Conference on Network and Parallel Computing, NPC 2013

作者： Wu, Libing Dang, Ping Nei, Lei Cui, Jianqun Liu, Bingyi School of Computer Science Wuhan University Wuhan China State Key Laboratory of Software Engineering Wuhan University Wuhan China School of Computer Science Central China Normal University Wuhan China

ISBN: (纸本)9783642408199

the performance of the data structure has a significant impact on the overall performance of the advance resource reservation in the distributed computing. Because the query and update operations of the B+ tree are of high efficiency, so this paper proposes a B+ tree structure suitable for resource reservation the RRB+ tree. Also, we design and implement the corresponding algorithms of query, insertion and deletion. Different with the B+ tree that insert and delete one key word at a time, the RRB+ tree insert one reservation request and delete one tree node every time. the RRB+ tree is of a higher precision of expression. With the fixed reservation admission control algorithm and the same rate of acceptance, the experimental results show that the RRB+ tree is easier to operate for the complex and changing network environment, and have a higher utilization of storage space. © 2013 IFIP international Federation for Information Processing.

关键词： data structures

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Non-myopic innovations dual controller

Non-myopic innovations dual controller

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10th IFAC international workshop on Adaptation and Learning in Control and Signal Processing, ALCOSP 2010

作者： Flídr, Miroslav Šimandl, Miroslav Research Centre Data - Algorithms - Decision Making University of West Bohemia Univerzitní 8 30614 Plzeň Czech Republic Department of Cybernetics Faculty of Applied Sciences University of West Bohemia Univerzitní 8 30614 Plzeň Czech Republic

ISBN: (纸本)9783902661852

Optimal control of a linear discrete stochastic state space system with uncertain parameters is treated. the problem statement leads to design of a dual controllers. Unfortunately, except for few special cases it is not possible to obtain closed-form solution for such controller. Many suboptimal approaches were proposed to overcome this obstacle, however, mostly they restrict the control horizon only to one step ahead and thus suffer from myopic behaviour. this paper presents technique that makes it possible to derive suboptimal dual controller in closed-form for arbitrarily long control horizon. the design of the presented controller is based on the innovations dual controller and use of the partial certainty equivalence principle. the proposed dual controller is compared to other non-dual controllers in a numerical example. © 2010 IFAC.

关键词： Controllers

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Accuracy research of the effect of local surface modeling methods on the generation of 3d models of historical objects with rock-based building structures using open-source software 10

Accuracy research of the effect of local surface modeling me...

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10th international workshop 3D-ARCH "3D Virtual Reconstruction and Visualization of Complex Architectures"

作者： Majid, Zulkepli Zainuddin, Khairulazhar Mohd Ariff, Mohd Farid Aspuri, Anuar Mohd Salleh, Mohd Faizi Ariffin, Azman Maulani, Abdul Jalil Geopark Research and Innovation Unit Geospatial Imaging and Information Research Group Faculty of Built Environment and Surveying Universiti Teknologi Malaysia Johor Bahru Johor Malaysia College of Built Environment Universiti Teknologi MARA Arau Perlis Malaysia

the paper describes the effect of the local surface modelling methods known as plane, quadric and triangulation on the generation of the 3D mesh models of the historical objects with rock-based building structures using Cloudcompare, an open-source software for point cloud data processing. the methodology begins with data collection of the 3D test objects using terrestrial laser scanning technology, the pre-processing of the point cloud data, the point cloud subsampling process, the process of generating of the local surface modelling data, the process of generating the 3D mesh models and finally, the analysis, which involves the 3D surface deviation analysis between the generated 3D mesh models. the overall results shows that there are no significant differences between the 3D mesh models that was generated from all the three local surface modelling methods. the histogram analysis shows that the plane and the quadric local surface modelling methods is the best methods to be used in the research where the 3D test object to be modelled contains curvy surfaces without sharp edges and corners. © 2024 international Society for Photogrammetry and Remote Sensing. All rights reserved.

关键词： Open source software

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A probabilistic analysis of hierarchical geometric data structures

A probabilistic analysis of hierarchical geometric data stru...

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international Conference on Pattern Recognition

作者： M. Lindenbaum H. Samet Electrical Engineering Department Technion-Israel Institute of Technology Haifa Israel Computer Science Department University of Maryland College Park MD USA

the size of five hierarchical geometric data structures is investigated analytically using random image models. Upper bounds and some lower bounds on the size of the structures are derived. the results are useful in p... 详细信息

关键词： data structures Image analysis Solid modeling Statistical analysis Upper bound Spatial resolution Performance analysis Automation Computer science Educational institutions

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A Novel, Wireless Acceleration Evaluator Used for Health Monitoring of Aging structures and Bridges 10

A Novel, Wireless Acceleration Evaluator Used for Health Mon...

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10th international workshop on Structural Health Monitoring (IWSHM)

作者： Sabato, Alessandro Univ Calabria DIMEG Tecn Controllo Ambientale Res Grp I-87036 Arcavacata Di Rende CS Italy

ISBN: (纸本)9781605952758

Control aging structures and infrastructures is of importance as these systems may have economic and strategic relevance. Develop reliable and accurate instruments for monitoring the structural dynamic behavior plays a key role in predicting the onset of possible crisis scenarios. Recent advances in technology have made wireless Micro Electro-Mechanical System (MEMS) accelerometers an attractive tool for Structural Health Monitoring (SHM). In this paper, the Acceleration Evaluator (ALE) - a low cost, high sensitivity, wireless prototype sensor board installing a MEMS-based accelerometer -is used as a stand-alone sensor for the vibration monitoring of large-sized civil structures. In particular, two cases of study are reported. the first one consists of the earthquake induced vibration measurements on a real-size lab model. It is a 2,500 Kg, 3 meter high stone pinnacle of the Saint Peter and Saint Paul Cathedral Church (Washington National Cathedral) in Washington, D. C. data collected using ALE are used for a back to back comparison with those recorded with wire-based, high-sensitivity devices. the evaluations carried out in time and frequency domains (e. g. peak ground acceleration, Arias' intensity, and excited frequencies) are used to determine the measurements accuracy in comparison with standardized and well-known devices. the second analysis is performed on a 104 meter pedestrian deck-stiffened arch bridge, located on the Princeton University campus in Princeton, NJ. the study aims to validate ALE performances in a real-world scenario. Recorded data are analyzed and compared with those reported in literature studies for the bridge. the results from both tests are examined to prove that ALE can be used as vibration monitoring devices to detect accelerations having amplitude in the order of 10(-2) m.s(-2) (ambient vibrations) as well as accelerations having amplitude in the order of 100 m.s(-2) (strong earthquakes). To conclude, the future works on the sensor bo

关键词： Acceleration

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A new data processing method for space-borne Fourier Transform Spectrometers

A new data processing method for space-borne Fourier Transfo...

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IEEE Metrology for Aerospace

作者： Andrea Appiani Diego Scaccabarozzi Bortolino Saggin Department of Mechanical Engineering Politecnico di Milano Milan Italy

One of the main limitations of Fourier Transform Spectrometers (FTS) is represented by their sensitivity to vibrations, which in general leads to a reduction of the Signal to Noise Ratio (SNR) and may generate ghosts of spectral features tricky to detect. A possible implementation to mitigate such errors is to exploit correction algorithms that allow obtaining signals sampled at constant optical path steps by processing data sampled at high frequency. In this work, a new processing method is presented, based on the arccosine method and exploiting two reference signals in the quadrature phase. Performances of the proposed method are compared to those of other algorithms by comparing an index expressing the distortion spectral lines.

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