136 research outputs found
Completion of recognizable bifix codes
No full textAbstractIn 1982 Perrin obtained a method to embed a finite bifix code into a recognizable complete bifix code. It is unknown whether any recognizable bifix code is contained in a recognizable complete bifix code. This open problem is positively solved in this paper. We show that any recognizable bifix code is contained in a recognizable complete bifix code and an embedding method is obtained
Possible obliquity-forced warmth in southern Asia during the last glacial stage
No full textOrbital-scale global climatic changes during the late Quaternary are dominated by high-latitude influenced ∼100,000-year global ice-age cycles and monsoon influenced ∼23,000-year low-latitude hydroclimate variations. However, the shortage of highly-resolved land temperature records remains a limiting factor for achieving a comprehensive understanding of long-term low-latitude terrestrial climatic changes. Here, we report paired mean annual air temperature (MAAT) and monsoon intensity proxy records over the past 88,000 years from Lake Tengchongqinghai in southwestern China. While summer monsoon intensity follows the ∼23,000-year precession beat found also in previous studies, we identify previously unrecognized warm periods at 88,000−71,000 and 45,000−22,000 years ago, with 2−3 °C amplitudes that are close to our recorded full glacial-interglacial range. Using advanced transient climate simulations and comparing with forcing factors, we find that these warm periods in our MAAT record probably depends on local annual mean insolation, which is controlled by Earth’s ∼41,000-year obliquity cycles and is anti-phased to annual mean insolation at high latitudes. The coincidence of our identified warm periods and intervals of high-frequent dated archaeological evidence highlights the importance of temperature on anatomically modern humans in Asia during the last glacial stage
RELAXATION OSCILLATIONS IN SINGULARLY PERTURBED GENERALIZED LIENARD SYSTEMS WITH NON-GENERIC TURNING POINTS
Full text linkBased on the asymptotic analysis technique developed by Eckhaus [Lecture Notes in Math., vol. 985, pp 449-494. Springer, Berlin, 1983], this paper aims to study the existence and the asymptotic behaviors of relaxation oscillations of regular and canard types in a singularly perturbed generalized Lionard system with a non-generic turning point. The singularly perturbed Lionard system considered in this paper is very general and numerous real world models like some biological ones can be rewritten in the form of this system after a series of transformations. Under certain conditions, we rigorously prove the existence of regular relaxation oscillations and canard relaxation oscillations under the specific parameter conditions. As an application, two biological models, namely, a FitzHugh-Nagumo model and a twodimensional predator-prey model with Holling-II response are studied, in which, the existence of regular relaxation oscillations and canard relaxation oscillations as well as the bifurcation curves are obtained.</jats:p
Intentional Agency Framework Based on Cognitive Concepts to Realize Adaptive System Management
No full textMetastable states and their resonant electron-phonon interaction of hydrogen-like donors in GaAs
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Dynamic and adaptive self organizing maps applied to high dimensional large scale text clustering
No full texttag recommendation based on bayesian principle
No full textNational Natural Science Foundation of China; Chongqing Science and Technology Commission; Chongqing Academy of Science and TechnologySocial tagging systems have become increasingly a popular way to organize online heterogeneous resources. Tag recommendation is a key feature of social tagging systems. Many works has been done to solve this hard tag recommendation problem and has got same good results these years. Taking into account the complexity of the tagging actions, there still exist many limitations. In this paper, we propose a probabilistic model to solve this tag recommendation problem. The model is based on Bayesian principle, and its very robust and efficient. For evaluating our proposed method, we have conducted experiments on a real dataset extracted from BibSonomy, an online social bookmark and publication sharing system. Our performance study shows that our method achieves good performance when compared with classical approaches. © 2010 Springer-Verlag
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