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Artificial Neural network (ANN) has been widely used in solving complex real world problems. It is commonly known as a black-box approach in the sense that examples (input and output pairs) are learned in the process of establishing an ANN model. However, there is a long debate in literature on whether ANN is a white-box or a black-box approach. In this article, we take a more conceptual view towards...
This paper presents batch-to-batch iterative learning control (ILC) of a fed-batch fermentation process using batch-wise linearised models identified from process operation data. The newly obtained process operation data after each batch is added to the historical data base and an updated linearised model is adaptively identified. In an effort to adapt to the current process environment, the updated...
During radiotherapy of lung tumors, the respiratory motion must be tracked to reduce radiation of healthy tissue. This is usually done by using a respiratory surrogate, but with limited accuracy. We investigate how patient-specific finite element models (FEM) of respiratory mechanics can predict the motion of the lungs. First, the anatomical models of the lungs and thorax are extracted from CT images...
One challenge in laparoscopic cholecystectomy surgery simulation is to construct a fast and accurate deformable gallbladder model. This paper proposed an improved multi-layer mass-spring modeling method which can adapt well to the built-in accelerating algorithms in PhysX-engine of GPU. A multi-layer mass-spring model was constructed based on the surface mesh of a gallbladder. The inner layers of...
Recently, an increasing number of online news websites have come to provide news browsing and retrieval services. For certain topics, certain news websites may hold sentiment bias, and therefore select and edit information according to their own standpoints before delivering news articles. Lacking conscious awareness of websites' sentiment bias may result in blind obedience to the reported information...
Reconstruction of a biological system from its experimental time series data is a challenging task in systems biology. The S-system which consists of a group of nonlinear ordinary differential equations is an effective model to characterize molecular biological systems and analyze the system dynamics. However, inference of S-systems without the knowledge of system structure is not a trivial task due...
Based on the Hotelling Model, this paper construct an overlapping business competition model about bilateral platform enterprise. Focusing on the platform of two situations that one is single attribution while the other is multipartite attribution. This study analyzed both the existence and the structure of the equilibrium solution, and three main conclusions were drawn up. Finally, the study tested...
A challenge in virtual reality based laparoscopic cholecystectomy simulation is to construct a fast and accurate deformable gallbladder model. This paper proposes a multi-layer mass-spring model which can adapt well to the built-in accelerating algorithms in PhysX-engine of GPU. The gallbladder is first segmented from clinical CT images. A multi-layer model based on the anatomical structure of gallbladder...
Performance of SPM based all-optical regenerator is evaluated for 40-Gb/s data. Results indicate that as the ratio between the product of fibre dispersion and length to the nonlinear phase-shift keeps constant, overall system performance improvements are similar.
Due to the environmental protection and the remaining economical value in the used products, this paper presents a three-stage reverse logistics network problem with incentive payment and formulates a mixed-integer nonlinear facility location model to determine the optimal number and locations for collecting centers and reprocessing centers so as to minimize the total cost. Since this problem is NP-hard,...
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