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Saturday, December 19, 2009

Free Online Math Tutoring and Help

For some people Mathematics maybe complex issue event for most children from elementary school until high school were very afraid of mathematics. I think it could be possible because of they often have no clear idea of mathematical jobs and don't have enough reference to done it.
If we talk about Math (Mathematics), basically we are discussing about quantity, structure, and change. Nowadays mathematics is used throughout the world as essential and important tools in many fields like education, science, engineering, biology and social sciences.
Some people said that learn math was so difficult, so I think to help those who felt difficult on studying math, they probably need Math Help from trusted source. If those people who felt difficult to learn math get a Math Help, They will have experts' guides by an expert on math. That math expert is known as Math Tutor. It is so amazing if we can learn and study math with help from the experts and get tutorials by Online Math Tutor so we can get a sophisticated Online Math Tutoring right from the expert on math.
Nowadays the development of technology especially on management information system is so good. So with help of internet or website, we can get help on math by online. It is so amazing that we can get Online Math Help by free. Wow it is so amazing! we can get Free Online Math Tutoring from reputable and trusted source. All students that study and learn math with the help by reputable and trusted source, not just get an Free Online Math Tutoring but the students will also get Free Online Math Help.
It is so amazing, learn and study math will be easier and more fun. If you wonder how to get Math Help from the good reputable and trusted source by online, you should visit www.tutorvista.com/math-help. You can contact them and find another amazing Free Online Math Tutoring as their give as they excellent service.

Wednesday, December 16, 2009

Mario Teguh (Super Friendship 1/5)

Watch the show of Mario Teguh Golden Ways "Super Friendship" Part 1 of 5. These video will teach us how to make super friendship and become a super person. I think this video will helps us learn about Distance Learning Business and Management easily. I upload it while I am write an article about my Diktat Kuliah Manajemen
Part 1 of 5


Part 2 of 5


Part 3 of 5


Part 4 of 5


Part 5 of 5


After you watch it, don't forget to give comment OK? Thanks.
Salam Super! Stay Super!

Monday, December 7, 2009

AUTONOMOUS FAULT DIAGNOSIS: STATE OF THE ART AND AERONAUTICAL BENCHMARK


Recently I have no ideas to post something in my blogs, because I was so busy with some job in my office. I have to go travel to Bandung and Bogor to do my job, and that was really makes me so tired. Because of that to update my blogs, I just search on the internet about some interesting article and I found this article.
This article briefly reviews the state of the art in Fault Detection and Isolation (FDI), and give some description (describes) a test-case for in-flight fault diagnosis. The main concepts are recalled, the links between the approaches are indicated and the most promising methods are highlighted. The nonlinear models of the system, its sensors and actuators are described in the second part of the article, along with fault scenarios. Constraints restrict the approaches that are applicable on the test-case and suggest quantitative indicates that can be used to evaluate fault diagnosis strategies in an aeronautical context. This is the abstract of the article that I found it on the internet. I think this article is so useful to study and to know much more about how to write a nice article to International journal and to learn about Distance Learning in Business and Management, Distance Learning Management and Distance Learning Indonesia. This article has a conclusion like I write it below:
A survey of the main fault diagnosis approaches has been conducted in this paper. A classification according to the type of knowledge available has been proposed, and the links between apparently dissimilar techniques coming from different communities have been emphasized. We defined a test-case for in-flight FDI, based on an interceptor missile with a predetermined set of sensors and actuators with no hardware redundancy. The nonlinear models of the aircraft, its components and the faults affecting them were described in detail. Finally, methods to be further investigated along with the performance criteria to compare them were set forth.
These are a few references that used on this article:
[1] G. Ducard and H.P. Geering. Efficient nonlinear actuator fault detection and isolation system for unmanned aerial vehicles. Journal of Guidance Control and Dynamics, 31(1):225, 2008.
[2] R.J. Patton. Fault detection and diagnosis in aerospace systems using analytical redundancy. Computing & Control Engineering Journal, 2(3):127–136, 1991.
[3] R. Isermann and P. Balle. Trends in the application of model-based fault detection and diagnosis of technical processes. Control Engineering Practice, 5(5):709–719, 1997.
[4] C. Angeli and A. Chatzinikolaou. On-line fault detection techniques for technical system: A survey. International Journal of Computer Science & Applications, 1(1):12–30, 2004.
[5] V. Venkatasubramanian, R. Rengaswamy, S.N. Kavuri, and K. Yin. A review of process fault detection and diagnosis Part III: Process history based methods. Computers and Chemical Engineering, 27(3):327–346, 2003.
[6] B. Dubuisson. Diagnostic et reconnaissance des formes. Hermes Paris, 1990.
[7] R.J. Patton, C.J. Lopez-Toribio, and F.J. Uppal. Artificial Intelligence Approaches to Fault Diagnosis for Dynamic Systems. International Journal of Applied Mathematics and Computer Science, 9(3):471–518, 1999.
[8] H.J. Shin, D.H. Eom, and S.S. Kim. One-class support vector machines: an application in machine fault detection and classification. Comput. Ind.Eng., 48(2):395–408, 2005.
[9] R.J. Patton, J. Chen, and T.M. Siew. Fault diagnosis in nonlinear dynamic systems via neural networks. In International Conference on Control, Coventry, volume 2, pages 1346–1351, 1994.
[10] L. Gy├Ârfi. Principles of Nonparametric Learning. Springer Verlag Wien New York, 2002.
[11] V.N. Vapnik. An overview of statistical learning theory. IEEE Transactions on Neural Networks, 10(5):988–999, 1999.
[12] C.E. Rasmussen and C.K.I. Williams. Gaussian Processes for Machine Learning. Springer-Verlag New York, 2006.
[13] W. Li, H.H. Yue, S. Valle-Cervantes, and S.J. Qin. Recursive PCA for adaptive process monitoring. Journal of Process Control, 10(5):471–486, 2000.
[14] J.M. Lee, C.K. Yoo, S.W. Choi, P.A. Vanrolleghem, and I.B. Lee. Nonlinear process monitoring using kernel principal component analysis. Chemical Engineering Science, 59(1):223–234, 2004.
[15] L. Chittaro and R. Ranon. Hierarchical model-based diagnosis based on structural abstraction. Artificial Intelligence, 155(1):147–182, 2004.
[16] J. Montmain and S. Gentil. Dynamic causal model diagnostic reasoning for online technical process supervision. Automatica, 36(8):1137–1152, 2000.
[17] C. Combastel, S. Lesecq, S. Petropol, and S. Gentil. Model-based and wavelet approaches to induction motor on-line fault detection. Control Engineering Practice, 10(5):493–509, 2002.
[18] S.M. Castillo, E.R. Gelso, and J. Armengol. Constraint satisfaction techniques under uncertain conditions for fault diagnosis in nonlinear dynamic systems. In 16th IEEE Mediterranean Conference on Control and Automation,, pages 1216–1221, 2008.
[19] M. Basseville and I.V. Nikiforov. Detection of Abrupt Changes: Theory and Application. Prentice Hall Englewood Cliffs, NJ, 1993.
[20] M. Witczak. Modelling and Estimation Strategies for Fault Diagnosis of Non-Linear Systems: From Analytical to Soft Computing Approaches. Springer-Verlag, Berlin-Heidelberg, 2007