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1、International Journal of Radiation OncologyBiologyPhysicsMulti-objective optimization of wind-excited structuresOriginal Research ArticleEngineering Structures, Volume 29, Issue 6, June 2007, Pages 983-990I. Venanzi, A.L. MaterazziClose preview| Related articles|Related reference work articles Abstr

2、actAbstract | Figures/TablesFigures/Tables | ReferencesReferences AbstractA procedure for the optimization of wind-excited structures is proposed. It is based on the simulated annealing algorithm combined with the dynamic analysis of the response either in the frequency or in the time domain. When t

3、he step-by-step dynamic analysis is used, it can handle the case of flexible structures, like masts and lattice towers, whose geometric non-linear effects cannot be neglected. The procedure allows for multiple variables and objectives. The proposed method is used to optimize the configuration of a c

4、able-stayed mast subjected to turbulent wind loading. The results showed that the algorithm is reasonably independent of the first guess configuration and is effective in avoiding local minima. Its wide field of applicability and ease of implementation make the proposed algorithm a powerful design t

5、ool for structural engineers.Article Outline1. Introduction2. The optimization technique 2.1. The Simulated Annealing algorithm2.2. The multiple objective function2.3. Implementation of the procedure3. Wind loading and structural response 3.1. Wind load modeling3.2. Frequency domain analysis3.3. Tim

6、e domain analysis4. Numerical application 4.1. Description of the case study4.2. The optimization problem4.3. Results5. Concluding remarksAcknowledgementsReferencesPurchase$ 31.50687UFOme: An ontology mapping system with strategy prediction capabilitiesOriginal Research ArticleData & Knowledge Engin

7、eering, Volume 69, Issue 5, May 2010, Pages 444-471Giuseppe Pirr, Domenico TaliaClose preview| Related articles|Related reference work articles AbstractAbstract | Figures/TablesFigures/Tables | ReferencesReferences AbstractOntology mapping, or matching, aims at identifying correspondences among enti

8、ties in different ontologies. Several strands of research come up with algorithms often combining multiple mapping strategies to improve the mapping accuracy. However, few approaches have systematically investigated the requirements of a mapping system both from the functional (i.e., the features th

9、at are required) and user point of view (i.e., how the user can exploit these features). This paper presents an ontology mapping software framework that has been designed and implemented to help users (both expert and non-expert) in designing and/or exploiting comprehensive mapping systems. It is ba

10、sed on a library of mapping modules implementing functions such as discovering mappings or evaluating mapping strategies. In particular, the strategy predictor module of the designed framework, for each specific mapping task, can “predict” mapping modules to be exploited and parameter values (e.g.,

11、weights and thresholds). The implemented system, called UFOme, assists users during the various phases of a mapping task execution by providing a user friendly ontology mapping environment. The UFOme implementation and its prediction capabilities and accuracy were evaluated on the Ontology Alignment

12、 Evaluation Initiative tests with encouraging results.Article Outline1. Introduction2. Definitions and problem statement 2.1. Ontology 2.1.1. Ontological information2.2. Ontology mapping: motivation and example2.3. Ontology mapping representation2.4. Ontology mapping system2.5. Mapping strategy2.6.

13、Similarity function3. Related work 3.1. User support for ontology mapping3.2. Ontology mapping systems based on multiple strategies3.3. Evaluating mapping strategies3.4. Automatic parameters tuning3.5. Requirements of an ontology mapping framework3.6. What a mapping system should feature?4. A librar

14、y of modules for ontology mapping systems 4.1. Visualization4.2. Matching 4.2.1. The Lucene ontology matcher (LOM)4.2.2. The wordnet matcher (WM)4.2.3. The string matcher (SM)4.2.4. The structural ontology matcher (SOM)4.3. Combination4.4. Strategy prediction: the strategy predictor module 4.4.1. Le

15、xical affinity coefficient4.4.2. Structural affinity coefficient4.4.3. Exploiting affinity coefficients4.4.4. On determining the optimal threshold values4.4.5. On determining optimal weight values4.5. Evaluation5. UFOme: A comprehensive ontology mapping system 5.1. A reference ontology mapping frame

16、work architecture5.2. The UFOme system 5.2.1. The UFOme two-layer architecture5.2.2. Phase 1: Designing5.2.3. Phase 2: Running5.2.4. Phase 3: Evaluation5.2.5. Remark6. Experimental evaluation 6.1. The dataset and the evaluation methodology6.2. Evaluation of the strategy predictor module 6.2.1. Param

17、eter tuning6.3. Effect of the threshold on linguistic mapping strategies6.4. Effect of the threshold on structural ontology mapping6.5. Evaluating automatic weights assignment 6.5.1. Evaluating the effects of mapping modules selection6.5.2. Comparing UFOme with other systems7. Discussion8. Future wo

18、rkReferencesVitaePurchase$ 31.50688An efficient diagnostic technique for distribution systems based on under fault voltages and currentsOriginal Research ArticleElectric Power Systems Research, Volume 80, Issue 10, October 2010, Pages 1205-1214A. Campoccia, M.L. Di Silvestre, I. Incontrera, E. Riva

19、Sanseverino, G. SpotoClose preview| Related articles|Related reference work articles AbstractAbstract | Figures/TablesFigures/Tables | ReferencesReferences AbstractService continuity is one of the major aspects in the definition of the quality of the electrical energy, for this reason the research i

20、n the field of faults diagnostic for distribution systems is spreading ever more. Moreover the increasing interest around modern distribution systems automation for management purposes gives faults diagnostics more tools to detect outages precisely and in short times. In this paper, the applicabilit

21、y of an efficient fault location and characterization methodology within a centralized monitoring system is discussed. The methodology, appropriate for any kind of fault, is based on the use of the analytical model of the network lines and uses the fundamental components rms values taken from the tr

22、ansient measures of line currents and voltages at the MV/LV substations. The fault location and identification algorithm, proposed by the authors and suitably restated, has been implemented on a microprocessor-based device that can be installed at each MV/LV substation. The speed and precision of th

23、e algorithm have been tested against the errors deriving from the fundamental extraction within the prescribed fault clearing times and against the inherent precision of the electronic device used for computation. The tests have been carried out using Matlab Simulink for simulating the faulted syste

24、m.Article Outline1. Introduction2. The diagnostic system3. Circuit model of one line span for diagnosys 3.1. Unfaulted condition3.2. Faulted condition4. Fault identification and characterization 4.1. Solution algorithm4.2. Phase assessment5. Compliance to existing systems6. Applications 6.1. Precisi

25、on of the diagnostic algorithm 6.1.1. Single phase to earth fault6.1.2. Three phase to ground fault6.2. Calculation times7. ConclusionsAppendix A. Microprocessor implementationReferencesVitaePurchase$ 41.95689On-line handwritten digit recognition based on trajectory and velocity modelingPattern Reco

26、gnition Letters, Volume 29, Issue 5, 1 April 2008, Pages 580-594Monji Kherallah, Lobna Haddad, Adel M. Alimi, Amar MiticheClose preview| Related articles|Related reference work articles AbstractAbstract | Figures/TablesFigures/Tables | ReferencesReferences AbstractThe handwriting is one of the most

27、familiar communication media. Pen based interface combined with automatic handwriting recognition offers a very easy and natural input method. The handwritten signal is on-line collected via a digitizing device, and it is classified as one pre-specified set of characters. The main techniques applied

28、 in our work include two fields of research. The first one consists of the modeling system of handwriting. In this area, we developed a novel method of the handwritten trajectory modeling based on elliptic and Beta representation. The second part of our work shows the implementation of a classifier

29、consisting of the Multi-Layers Perception of Neural Networks (MLPNN) developed in a fuzzy concept. The training process of the recognition system is based on an association of the Self Organization Maps (SOM) with Fuzzy K-Nearest Neighbor Algorithms (FKNNA). To test the performance of our system we

30、build 30,000 Arabic digits. The global recognition rate obtained by our recognition system is about 95.08%.Article Outline1. Introduction2. Trajectory modeling by Betaelliptical representation 2.1. Beta velocity modeling2.2. Elliptical trajectory modeling2.3. Combination between Beta and elliptical

31、models3. On-line recognition of handwritten digits 3.1. Pre-processing system3.2. Real class detection by self-organizing map3.3. Membership assignment of the training data set to real classes by the Fuzzy K-Nearest Neighbor Algorithm3.4. Classification by the MLPNN system3.5. Digit database formulation4. Experimental results and discussions5. ConclusionAcknowledgementsReferencesPurchase$ 31.50690EDICAM fast video diagnostic installation on the COMPASS tokamakOriginal Research ArticleFusion Engineering and Design, Volume 85, Issues 3-