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1、H.P. YinClose preview| Related articlesRelated reference work articles AbstractAbstract | Figures/TablesFigures/Tables | ReferencesReferences AbstractUsing the well-known bandwidth formula and the half power bandwidth formula R.E.D. Bishop, G.M.L. Gladwell, An investigation into the theory of resona

2、nce testing, Philosophical Transactions of the Royal Society of London A 255 （1963） 241280, in particular, is the simplest way to estimate modal damping for engineers. By using the half power bandwidth formula, the damping factor is estimated to be approximately the half bandwidth at the half power

3、points. One of the major limitations that restrict the use of this method is the coupling effect between closely spaced modes. In this paper, the dependence of the damping estimation accuracy on the selected power ratios is studied with both analytical and experimental data of frequency response fun

4、ctions. The results show that by selecting adequate power ratio values, the coupling effect can be minimized and the estimation accuracy can be significantly improved for closely spaced modes. A further improvement of accuracy can be obtained by applying the algorithm of mode isolation H.P. Yin, D.

5、Duhamel, Substraction technique and finite difference formulas for modal parameter estimation, Mechanical Systems and Signal Processing 18 （2004） 14971503; M.S. Allen, J.H. Ginsberg, A global, single-input-multi-output （SIMO） implementation of the algorithm of mode isolation and application to analy

6、tical and experimental data, Mechanical Systems and Signal Processing 20 （2006） 10901111. Also an exact bandwidth formula in case of a single degree of freedom system is presented and the link between the exact formula and the classical approximated formula is indicated. The exact bandwidth formula

7、provides a new theoretical basis of the bandwidth method for the damping estimation from frequency response functions.Article Outline1. Introduction2. Bandwidth method3. Analysis with analytical data4. Analysis with experimental data5. ConclusionAppendixReferencesPurchase$ 35.95815FKBP22 is part of

8、chaperone/folding catalyst complexes in the endoplasmic reticulum of Neurospora crassaFEBS Letters, Volume 581, Issue 10, 15 May 2007, Pages 2036-2040Dirk Tremmel, Margarida Duarte, Arnaldo Videira, Maximilian Tropschug PDF （586 K） FKBP22 is a dimeric protein in the lumen of the endoplasmic reticulu

9、m, which exhibits a chaperone as well as a PPIase activity. It binds via its FK506 binding protein （FKBP） domain directly to the Hsp70 chaperone BiP that stimulates the chaperone activity of FKBP22. Here we demonstrate additionally the association of FKBP22 with the molecular chaperones and folding

10、catalysts Grp170, -subunit of glucosidase II, PDI, ERp38, and CyP23. These proteins are associated with FKBP22 in at least two protein complexes. Furthermore, we report an essential role for FKBP22 in the development of microconidiophores in Neurospora crassa.2. Material and methods 2.1. Growth of N

11、. crassa2.2. Protein identification/computational analysis2.3. Miscellaneous3. Results and discussion 3.1. A FKBP22 deletion mutant of N. crassa has a defect in forming microconidiophores3.2. FKBP22 is associated with several chaperones and folding catalysts in the endoplasmic reticulum3.3. Associat

12、ions between chaperones and folding catalysts4. ConclusionsAcknowledgements816A new approach of clustering based machine-learning algorithmKnowledge-Based Systems, Volume 19, Issue 4, August 2006, Pages 248-258Alauddin Yousif Al-Omary, Mohammad Shahid JamilMachine-learning research is to study and a

13、pply the computer modeling of learning processes in their multiple manifestations, which facilitate the development of intelligent system. In this paper, we have introduced a clustering based machine-learning algorithm called clustering algorithm system （CAS）. The CAS algorithm is tested to evaluate

14、 its performance and find fruitful results. We have been presented some heuristics to facilitate machine-learning authors to boost up their research works. The InfoBase of the Ministry of Civil Services is used to analyze the CAS algorithm. The CAS algorithm is compared with other machine-learning a

15、lgorithms like UNIMEM, COBWEB, and CLASSIT, and was found to have some strong points over them. The proposed algorithm combined advantages of two different approaches to machine learning. The first approach is learning from Examples, CAS supports Single and Multiple Inheritance and Exceptions. CAS a

16、lso avoids probability assumptions which are well understood in concept formation. The second approach is learning by Observation. CAS applies a set of operators that have proven to be effective in conceptual clustering. We have shown how CAS builds and searches through a clusters hierarchy to incor

17、porate or characterize an object.2. Relevant works3. Proposed CAS model 3.1. Employment and visa problems3.2. CAS operators3.3. Formation of hierarchy3.4. CAS data structure3.5. Characterization3.6. Aggregation3.7. Time and space complexity3.8. Ephemeral narration of the algorithm4. Comparative resu

18、lts 4.1. Accomplishment consequence4.2. Assessment criteria4.3. Comparative summary$ 24.95817An expert system for predicting the effects of speech interference due to noise pollution on humans using fuzzy approachExpert Systems with Applications, Volume 35, Issue 4, November 2008, Pages 1978-1988Zah

19、eeruddin, V.K. JainIn this paper, an attempt has been made to develop an expert system using fuzzy approach to investigate the effects of noise pollution on speech interference. The speech interference measured in terms of speech intelligibility is considered to be a function of noise level, distanc

20、e between speaker and listener, and the age of the listener. The main source of model development is the reports of World Health Organization （WHO） and field surveys conducted by various researchers. It is implemented on Fuzzy Logic Toolbox of MATLAB using both Mamdani and Sugeno techniques. The res

21、ults are found to be in good agreement with the findings of World Health Organization （WHO） and U.S. Environmental Protection Agency （EPA）. The study reveals that for good communication at normal distances （short and medium） encountered in ambient environment, the noise level should not exceed 65dB（

22、A） for young and middle aged, and 55dB（A） for old persons.2. Noise pollution and speech interference3. Fuzzy expert system4. Methodology and implementation 4.1. Algorithm5. Results and discussion6. Conclusions$ 41.95818Industrial use of synchrotron radiation: a very subjective overviewNuclear Instru

23、ments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Volumes 467-468, Part 2, 21 July 2001, Pages 1179-1191J. Hormes, H. ModrowSynchrotron radiation has become an extremely valuable tool for many areas of basic and applied research. In principle, synchrotron radiation could also be used for all areas of industr