Computer Methods in Applied Mechanics and Engineering.docx

1、Computer Methods in Applied Mechanics and EngineeringTopological clustering for water distribution systems analysisEnvironmental Modelling & Software, In Press, Corrected Proof, Available online 15 February 2011Lina Perelman, Avi OstfeldShow preview| Related articles|Related reference work articles

2、Purchase$ 19.95716HyphAreaAutomated analysis of spatiotemporal fungal patternsOriginal Research ArticleJournal of Plant Physiology, Volume 168, Issue 1, 1 January 2011, Pages 72-78Tobias Baum, Aura Navarro-Quezada, Wolfgang Knogge, Dimitar Douchkov, Patrick Schweizer, Udo SeiffertClose preview| Rela

3、ted articles|Related reference work articles AbstractAbstract | Figures/TablesFigures/Tables | ReferencesReferences AbstractIn phytopathology quantitative measurements are rarely used to assess crop plant disease symptoms. Instead, a qualitative valuation by eye is often the method of choice. In ord

4、er to close the gap between subjective human inspection and objective quantitative results, the development of an automated analysis system that is capable of recognizing and characterizing the growth patterns of fungal hyphae in micrograph images was developed. This system should enable the efficie

5、nt screening of different hostpathogen combinations (e.g., barleyBlumeria graminis, barleyRhynchosporium secalis) using different microscopy technologies (e.g., bright field, fluorescence). An image segmentation algorithm was developed for gray-scale image data that achieved good results with severa

6、l microscope imaging protocols. Furthermore, adaptability towards different hostpathogen systems was obtained by using a classification that is based on a genetic algorithm. The developed software system was named HyphArea, since the quantification of the area covered by a hyphal colony is the basic

7、 task and prerequisite for all further morphological and statistical analyses in this context. By means of a typical use case the utilization and basic properties of HyphArea could be demonstrated. It was possible to detect statistically significant differences between the growth of an R. secalis wi

8、ld-type strain and a virulence mutant.Article OutlineIntroductionMaterial and methods Experimental set-upThe host and pathogensFluorescence image acquisition protocolBright field image acquisition protocolSegmentation of hyphal coloniesAchieving adaptive behaviorImage corpusResults R. secalis infect

9、ed material and segmentationB. graminis infected material and segmentationDiscussionAcknowledgementsReferencesPurchase$ 41.95717Automated generation of contrapuntal musical compositions using probabilistic logic in DeriveOriginal Research ArticleMathematics and Computers in Simulation, Volume 80, Is

10、sue 6, February 2010, Pages 1200-1211Gabriel Aguilera, Jos Luis Galn, Rafael Madrid, Antonio Manuel Martnez, Yolanda Padilla, Pedro RodrguezClose preview| Related articles|Related reference work articles AbstractAbstract | Figures/TablesFigures/Tables | ReferencesReferences AbstractIn this work, we

11、present a new application developed in Derive 6 to compose counterpoint for a given melody (“cantus firmus”). The result is non-deterministic, so different counterpoints can be generated for a fixed melody, all of them obeying classical rules of counterpoint. In the case where the counterpoint canno

12、t be generated in a first step, backtracking techniques have been implemented in order to improve the likelihood of obtaining a result. The contrapuntal rules are specified in Derive using probabilistic rules of a probabilistic logic, and the result can be generated for both voices (above and below)

13、 of first species counterpoint. The main goal of this work is not to obtain a “professional” counterpoint generator but to show an application of a probabilistic logic using a CAS tool. Thus, the algorithm developed does not take into account stylistic melodic characteristics of species counterpoint

14、, but rather focuses on the harmonic aspect. The work developed can be summarized in the following steps: (1) Development of a probabilistic algorithm in order to obtain a non-deterministic counterpoint for a given melody. (2) Implementation of the algorithm in Derive 6 using probabilistic Logic. (3

15、) Implementation in Java of a program to deal with the input (“cantus firmus”) and with the output (counterpoint) through inter-communication with the module developed in Derive. This program also allows users to listen to the result obtained.Article Outline1. Introduction 1.1. Historical background

16、1.2. “Cantus Firmus” and counterpoint1.3. Work developed1.4. Derive 6 and Java2. Description of the algorithm 2.1. The process2.2. Rules2.3. Example2.4. Backtracking3. Description of the environment 3.1. Menu bar3.2. Real time modifications3.3. Inter-communication with Derive3.4. Playing the composi

17、tion4. Results 4.1. Example 1: Above voice against “Cantus firmus”4.2. Example 2: Below voice against “Cantus firmus”4.3. Example 3: Above and below voices against “Cantus firmus”5. Conclusions and future workReferencesPurchase$ 31.50718Study of pharmaceutical samples by NIR chemical-image and multi

18、variate analysisOriginal Research ArticleTrAC Trends in Analytical Chemistry, Volume 27, Issue 8, September 2008, Pages 696-713Jos Manuel Amigo, Jordi Cruz, Manel Bautista, Santiago Maspoch, Jordi Coello, Marcelo BlancoClose preview| Related articles|Related reference work articles AbstractAbstract

19、| Figures/TablesFigures/Tables | ReferencesReferences AbstractNear-infrared spectroscopy chemical imaging (NIR-CI) is a powerful tool for providing a great deal of information on pharmaceutical samples, since the NIR spectrum can be measured for each pixel of the image over a wide range of wavelengt

20、hs. Joining NIR-CI with chemometric algorithms (e.g., Principal Component Analysis, PCA) and using correlation coefficients, cluster analysis, classical least-square regression (CLS) and multivariate curve resolution-alternating least squares (MCR-ALS) are of increasing interest, due to the great am

21、ount of information that can be extracted from one image. Despite this, investigation of their potential usefulness must be done to establish their benefits and potential limitations. We explored the possibilities of different algorithms in the global study (qualitative and quantitative information)

22、 of homogeneity in pharmaceutical samples that may confirm different stages in a blending process. For this purpose, we studied four examples, involving four binary mixtures in different concentrations. In this way, we studied the benefits and the drawbacks of PCA, cluster analysis (K-means and Fuzz

23、y C-means clustering) and correlation coefficients for qualitative purposes and CLS and MCR-ALS for quantitative purposes. We present new possibilities in cluster analysis and MCR-ALS in image analysis, and we introduce and test new BACRA software for mapping correlation-coefficient surfaces.Article

24、 Outline1. Introduction2. Structure of hyperspectral data3. Preprocessing the hyperspectral image4. Techniques for exploratory analysis 4.1. Principal Component Analysis (PCA)4.2. Cluster analysis 4.2.1. K-means algorithm4.2.2. Fuzzy C-means algorithm4.2.3. Number of clusters 4.2.3.1. Silhouette ind

25、ex4.2.3.2. Partition Entropy index4.3. Similarity using correlation coefficients5. Techniques for estimating analyte concentration in each pixel 5.1. Classical Least Squares5.2. Multivariate Curve Resolution-Alternating Least Squares5.3. Augmented MCR-ALS for homogeneous samples6. Experimental and d

26、ata treatment 6.1. Reagents and instruments6.2. Experimental6.3. Data treatment7. Results and discussion 7.1. PCA analysis7.2. Cluster analysis 7.2.1. K-means results for heterogeneous samples7.2.2. FCM results7.3. Correlation-coefficient mapsBACRA results7.4. CLS results7.5. MCR-ALS and augmented-M

27、CR-ALS results8. Conclusions and perspectivesAcknowledgementsReferencesPurchase$ 31.50719Validation and automatic test generation on UML models: the AGATHA approachOriginal Research ArticleElectronic Notes in Theoretical Computer Science, Volume 66, Issue 2, December 2002, Pages 33-49David Lugato, C

28、line Bigot, Yannick ValotClose preview| Related articles|Related reference work articles AbstractAbstract | ReferencesReferences AbstractThe related economic goals of test generation are quite important for software industry. Manufacturers ever seeking to increase their productivity need to avoid ma

29、lfunctions at the time of system specification: the later the defaults are detected, the greater the cost is. Consequently, the development of techniques and tools able to efficiently support engineers who are in charge of elaborating the specification constitutes a major challenge whose fallout con

30、cerns not only sectors of critical applications but also all those where poor conception could be extremely harmful to the brand image of a product. This article describes the design and implementation of a set of tools allowing software developers to validate UML (the Unified Modeling Language) spe

31、cifications. This toolset belongs to the AGATHA environment, which is an automated test generator, developed at CEA/LIST. The AGATHA toolset is designed to validate specifications of communicating concurrent units described using an EIOLTS formalism (Extended Input Output Labeled Transition System). The goal of the work described in this paper is to provide an interface between UML and an EIOLTS formalism giving the possibility to use AGATHA on UML specifications. In this paper we describe first the translation of UML models into the EIOLTS formalis