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The lithography process is the most critical step in fabricating nanostructure for integrated circuit manufacturing. The most important variable in lithography process is the line width or critical dimension (CD), which perhaps is one of the most direct impact variables on the device performance and speed. This study presents a framework combining Taguchi orthogonal experiments, artificial neural...
Focusing on using Oracle to implement the differentiation of spatial topological relations between lines and regions, an algorithm based on Oracle Spatial Topology Data Model and the 9-intersection model is designed to determine the nine elements of the 9-intersection matrix, which can be used to differentiate the 19 kinds of spatial topological relations between a line and a region. Three elements...
Phrase based statistic MT (SMT) is an important milestone in MT. However, the translation model in the phrase based SMT is structure free which limits its reordering capacity to some extent. In order to enhance the reordering capacity of phrase based SMT, in this paper we propose a head-modifier relation based reordering model, which exploits the way how to utilize the structured linguistic analysis...
Neural Network (NN) has been proved ideal in nonlinear fitting. It is applied as the rotor position estimator in the Switched Reluctance Motors (SRMs) whose characteristic is highly nonlinear. However, the conventional BP NN based rotor position estimator was inappropriate to be implemented in real-time application at high speed operations, because of its considerable computational time consumption...
Near-infrared (NIR) spectroscopy is a kind of non-destructive technology, which has many advantages. Infrared spectrum is highly characteristic and can be used to analyze and identify. However, researches and applications of NIR spectroscopy in plant classification and growth monitoring are still rare. This paper conducted NIR spectroscopy experiments on Cinnamomum camphora and Aceraceaedie leaves...
This letter presents a universally valid algorithm designed for homogenizing chaos-based pseudo-random number generators (PRNGs). The algorithm bases on shifting-bit operations represented by floating-point numbers on computers, without aiming at material chaotic systems. Set Logistic map, Henon map and Lorenz system as examples to test the algorithm, respectively, showing that it is viable. We can...
This paper presents the theory of dynamic sequential auctions which can be used for pricing and inventory control in online auction. Most theoretical treatments of auctions have assumed that buyers have unit demand, which didn't conform to the real state. We characterize this model when a seller with C units to sell by the way of sequential auctions faces a finite time horizon T, buyers in each period...
Optimal design of auction is one of hot research topics in the auction theory. During recent years, shill bidding has increased substantially with the explosion in the number of online auctions. This paper designs the optimal online auction with shill bidding and open reserve price. Many optimal auction models have assumed that the number of potential bidders is constant and known. And in these optimal...
Optimal design of auction is one of hot research topics in the auction theory. In this paper, we design this online auction mechanism, by considering simultaneously the bidders' stochastic arrival process, entry fee, which is proportional to the reserve price seller, commission rates, which is proportional to the ultimate winning price from the seller if the item is auctioned off successfully, buy-in...
In this paper, the problem of robust stability for a class of neural networks with Markovian jump parameters and mixed time-delays is investigated. The jump parameters are modeled as a continuous-time, discrete-state Markov process and the mixed delays comprise discrete and distributed time-delays. Based on the Lyapunov stability theory and linear matrix inequality (LMI) technique, some robust stability...
Speed-density relationships are one of models used by a mesoscopic traffic simulator to represent traffic dynamics. While the classical speed-density relationships provide a useful insight into the traffic dynamics problem and have theoretical value to traffic flow, for such applications they are limited This paper focuses on calibrating parameters for the speed-density relationships by using data...
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