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Search Results: 1 - 10 of 71819 matches for " Tao Yang "
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Research on Influence of Manager’s Innovation Preference on Innovation-Decision Making  [PDF]
Chen Tao, Yang Liu
Technology and Investment (TI) , 2012, DOI: 10.4236/ti.2012.33026
Abstract: It is one of the key factors which cause “innovation dilemma” that managers prefer to support the sustaining innovation project. From the view of the manager’s innovation preference, the main propose of the paper is to study why it happened. The manager’s innovation preference will guide and motivate the staffs how to innovate, therefore it is appropriate to analyze it by using the principal agent theory. Conclusions can be got by establishing and analyzing a multi-task principal-agent model. First of all, the model basically explains why incumbent enterprises prefer adopting sustaining innovation and entrant enterprises are inclined to disruptive innovation project. Secondly, the selection rights of middle managers towards innovation projects determine the strategic direction of enterprises. Manager’s innovation preference is consistent with the innovation types of employees. At last, the paper suggests that incumbent enterprises should indeed establish self-organizations or spin-off organizations to better carry out disruptive business.
Bifurcations and Chaos in the Duffing Equation with One Degenerate Saddle Point and Single External Forcing  [PDF]
Zhiyang Yang, Tao Jiang
Journal of Applied Mathematics and Physics (JAMP) , 2017, DOI: 10.4236/jamp.2017.59161
In this paper, we study the Duffing equation with one degenerate saddle point and one external forcing and obtain the criteria of chaos of Duffing equation under periodic perturbation through Melnikov method. Numerical simulations not only show the correctness of the theoretical analysis but also exhibit the more new complex dynamical behaviors, including homoclinic bifurcation, bifurcation diagrams, maximum Lyapunov exponents diagrams, phase portraits and Poincaré maps.
Bifurcation of Parameter-Space and Chaos in Mira 2 Map  [PDF]
Tao Jiang, Zhiyang Yang
Journal of Applied Mathematics and Physics (JAMP) , 2017, DOI: 10.4236/jamp.2017.59160
In this paper, we investigate Mira 2 map in parameter-space (A-B) and obtain some interesting dynamical behaviors. According to the parameter space of Mira 2 map, we take A and B as some groups of values and display complex dynamical behaviors, including period-1, 2, 3, 4, 5, ???, 38, ??? orbits, Arnold tongues observed in the circle map [7], crisis, some chaotic attractors, period-doubling bifurcation to chaos, quasi-period behaviors to chaos, chaos to quasi-period behaviors, bubble and onset of chaos.
Applications of Computational Verbs to the Design of P-Controllers
Tao Yang
International Journal of Computational Cognition , 2005,
Abstract: The design of P-controllers based on computationalverb theory is to generalize fuzzy P-controllers from using fuzzysets to using computational verbs. As a part of fuzzy PIDcontroller, a (digital) fuzzy P-controller is designed based onthe fuzzification of error signals and their first differences. Togeneralize a fuzzy P-controller into a verb P-controller, first thefuzzy control rules are mapped onto a phase plot. Then based onthe spatial dynamics of control errors shown in the phase plot,verb control rules are constructed. Detailed design examples andsimulation results are used to demonstrate the design process.
Tao Yang
International Journal of Computational Cognition , 2004,
Abstract: Secure communication using synchronization between chaoticsystems(chaotic secure communication, for short) is a new concept ofsecure communication. The great potentials of this kind of “hardwarekey” secure communication systems had driven the progress of thisfield rapidly. Since 1992, chaotic secure communication had evolvedfour generations. In this paper, a detailed history of chaotic securecommunication systems is given. The disadvantage of the first threegenerations of chaotic secure communication schemes is low efficiencyof channel usage. To overcome this disadvantage, a chaotic communicationscheme, which belongs to the fourth generation, using impulsivesynchronization of chaotic systems is presented. In this paper,impulsive synchronization of two chaotic systems is reformulated asimpulsive stabilization of a synchronization error system to the origin.Based on the theory of impulsive differential equations, we presenttheoretical results on the asymptotic synchronization of two chaoticsystems by using synchronization impulses. An estimate of the upperbound of impulse interval is given for the purpose of asymptotic synchronization.The robustness of impulsive synchronization to additivechannel noise and parameter mismatch is also studied. We concludethat impulsive synchronization is more robust than continuous synchronization.Combining both conventional cryptographic methodand impulsive synchronization of chaotic systems, we propose a newchaotic secure communication scheme. We use this new chaotic securecommunication scheme to transmit a speech signal. Computer simulationresults based on Chua’s oscillators are given.
Applications of Computational Verb Theory to the Design of Accurate Video Flame-detecting Systems
Tao Yang
International Journal of Computational Cognition , 2007,
Abstract: The conventional video flame-detecting systemshave very high false alarm rate, low ability of suppressinginterferences and cannot detect controllable flames. Therefore,these systems cannot be used in open spaces, forests and otherplaces where light inferences exist. Also, these systems cannotprevent flame at the very earlier stage when the flames arecontrollable. The newly designed video flame-detecting system isbased on computational verb theory. By using physical linguisticnetworks, the cognitive models of flames are built to embedhuman perceptions of flames in natural languages into computeralgorithms. This comprehensive model encoded the textures,structures, spatial-temporal dynamics of flames into a physicallinguistic network. By doing so, the image understanding problemof flames was transformed into a physical linguistic model whichhas high efficiency, big flexibility, and good generalities. Inthis paper, the design of video flame-detecting systems fromengineering point of view will be surveyed in details.
Stable Computational Verb Controllers
Tao Yang
International Journal of Computational Cognition , 2006,
Abstract: A kind of stable verb controller was designed inthis paper based on the partial knowledge of the structure andparameters of the plant to be controlled. The design procedureconsists of two steps. The first step is to find the range ofcontrol signals to make the controlled plants stable by usingLyapunov functions. The second step is to explore the specialcharacteristics of the plants and using computational verb controlrules to adaptively generate control signals based on the trendsand dynamics of the control errors. The Duffing chaotic systemwas used to demonstrate the design of stable computational verbcontrollers.
Tao Yang
International Journal of Computational Cognition , 2003,
Abstract: In this paper we study the evolution of vocabulary fromthe dynamic system point of view. Based on some basic assumptionsof the relationship between the brain dynamics and the pronunciationof vocabulary, we model the beginning of vocabulary evolutionas an interacting, classifying and clustering process of brain’s dynamicrepresentations of speakable and unspeakable meanings. As illustrativeexamples, we use chaotic attractors to model brain’s dynamicrepresentations of meanings. Chaotic attractors of brain dynamicsare used to code meaningful information such as words and sentenceswhile limit cycles or chaotic attractors with relatively simple structuresare used to encode basic building blocks of meanings in spokenlanguages. Based on our model, we also present a reasonable modelfor the emergence of phonemes in primitive languages. Our modelshows that the evolution route leading to the emergence of phonemesshould include the following three phases: speak meaningful, speakmeaningless and phoneme formation. We also conclude that the numberof words should be bigger than a critical value in order to providestrong enough interactions among different brain dynamic representationsof words and furthermore enable the emergence of phonemes.
Bridging the Universe and the Cognition
Tao Yang
International Journal of Computational Cognition , 2005,
Abstract: In this paper the following questions are answered:- What is the cognition?- Where does the cognition came from?- Can we set up a theoretical framework that is similar to the physics for the cognition?- Which one is the most essential, the Universe or the Cognition?- Which one did exist first, the Universe or the Cognition?- Is it true to say that the cognition is an emergentphenomenon from brains?The theory presented in this paper is called the Unicogse Theory.In this theory, the “real” physical world(the Universe) and the“imaginary” cognitive world(the Cognition) are two coexistingand indispensable sub-Beings of the super-Being called theUnicogse (Universe+Cognition). The Universe and the Cognitionare a dual pair. The cognition is not generated by a physicalsystem such as a brain. Yet, a physical system with groundedlogics, such as natural languages, can access the Cognitionthrough a window between the Universe and the Cognition. Onlya grounded logics such as a human natural language has theability to bridge the Universe and the Cognition. Therefore, thecognition of a brain is not generated by a brain, it is “received”by the brain from the Cognition side. From this point of view,a human brain is a “sink” of a cognition while the “source” ofthis cognition is at the Cognition side, its natural language is the“antenna”.
Learning Computational Verb Rules
Tao Yang
International Journal of Computational Cognition , 2007,
Abstract: Computational verb rules are efficient tools totransform dynamical experiences in natural languages intomathematical expressions. Based on human experiences, we caneasily construct computational verb rules. However, due to thelimits of human perceptions, it is impossible to design accuratecomputational verbs based on human perceptions. To calibratethe parameters of computational verbs in computational verbrules, we need to train them by using measurements that aremuch more accurate than human perceptions. Different kindsof learning algorithms of computational verb rules, of whichthe consequents and antecedents are static or dynamical, arepresented.
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