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Knowledge representation is a strategy which represents the human knowledge as the data structure and the system control structure that can be processed by computer. As a knowledge representation method, domain ontology can represent the specific knowledge of a specific area. In the design of skill knowledge base, it will involve a lot of corresponding events to skills, and the knowledge contained...
The paper considers variable selection problem and proposes an algorithm called the RIVAL (Removing Irrelevant Variables Amidst Lasso Iterations). For a given and fixed length of data points, the algorithm recursively updates the weights so that the ability of the algorithm in detecting zero coefficients is substantially improved. Theoretical convergence is established supported by numerical simulation...
This paper considers using reset control to improve transient performance and overcome some fundamental limitations of linear systems. First, an auxiliary system is presented, then, based on which, a new reset control model is proposed, such that the non-overshoot performance specification can be met for any minimum phase relative degree one plants, the results imply some limitations of linear systems...
Our recent preliminary studies show that the nanoscale indium fluctuation in InGaN quantum well LED plays an important key role in carrier transport, radiative recombination, Auger, and droop effects. In this paper, we further examine the influence indium fluctuation for different degree of fluctuation, auger coefficients, and non-radiative lifetime. The influence of different AlGaN electronic blocking...
In the context of endogenous network formation, we study strategic interaction among players within k-neighborhood. Based on the myopic best response rule, players choose action and establish links with other players by unilaterally investing in costly pair wise links in the evolution of networks. First, we characterize the equilibrium networks and describe the impact of the link cost on the equilibrium...
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