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Option and other financial derivatives are becoming more and more important in financial market. As one of the most important financial activities, reasonable option pricing not only makes the trade market steady and orderly, but also provides investors valuable information to make decisions. As the growth of the financial data and the inherent complexity of option pricing methods, option pricing...
Skyline queries are useful in decision making applications. Skyline queries in highly mobile distributed environments have attracted many attentions recently due to the development of mobile internet device. The properties of distributed computing make skyline queries more complicated especially in any subspace. Conventional skyline algorithms do not support subspace skyline queries in distributed...
The L2 shared cache is an important resource for multi-core system. The cache replacement algorithm of L2 shared cache is one of the key factors in judging whether the L2 shared cache of multi-core system is efficient. In this paper, we study shared-cache simulation for multi-core with the LRU2-MRU collaborative cache replacement algorithm. We propose a theoretical foundation for LRU2-MRU to show...
We show how to model geometric patterns on surfaces. We build on the concept of shape grammars to allow the grammars to be guided by a vector or tensor field. Our approach affords greater artistic freedom in design and enables the use of grammars to create patterns on manifold surfaces. We show several application examples in visualization, anisotropic tiling of mosaics, and geometry synthesis on...
Our research focuses on anomaly detection problems in unknown environments using Wireless Sensor Networks (WSN). We are interested in detecting two types of abnormal events: sensory level anomalies (e.g., noise in an office without lights on) and time-related anomalies (e.g., freezing temperature in a mid-summer day).We present a novel, distributed, machine learning based anomaly detector that is...
One major problem in the management of the current large networks is the complexity and the enormous amount of operations required to satisfy user demands while using resources efficiently. In this study, we propose a network traffic forecasting strategy based on BP neural network (BP-NTF). First, we analyse the characteristics of network traffic and establish traffic forecasting methods based on...
A method of controlling mold temperature control (MTC) solidification process by cooling threshold was presented based on finite element method (FEM) simulation and experiments research. The outcome provides a basis for selecting MTC parameters. The 3D transient heat transfer analysis was done in various conditions which include the cooling threshold of 500, 20, 400, 440, and 300degC respectively...
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