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Spline curve and surface play an important role in CAD and computer graphics. In this paper, we propose several extensions of cubic uniform B-spline. Then, we present the extensions of interpolating α-B-spline based on the new B-splines and the singular blending technique. The advantage of the extensions is that they have global and local shape parameters.(More)
Salvia dugesii is an invasive plant in Yunnan, China. To tentatively explore its utilization, a systematic phytochemical investigation was carried out on this plant, which led to the isolation of five new neo-clerodane diterpenoids, dugesins C–G (1–5), together with six known ones. Their structures were determined by comprehensive NMR and MS spectroscopic(More)
In the present work, sensitive and stable sandwiched electrochemical immunosensing strategies with graphene (Gr)/gold nanoparticles (GNP) composite as the immobilization platform and ferrocene (Fc) derivatives as labels were proposed. Under the optimal choice and the proposed immunosensing strategy, with 1,1'-ferrocenedicarboxylic acid label, the human IgG(More)
Accurate air-conditioning load forecasting is the precondition for the optimal control and energy saving operation of HVAC systems. Many forecasting techniques such as support vector machine (SVM), artificial neural network (ANN), autoregressive integrated moving average (ARIMA) and grey model, have been proposed in the field of air-conditioning load(More)
With the development of society and economy, more and more high buildings and large mansions come forth, it is imperative to seek an automatic patrol solution. The development of a mobile robot platform is presented in this paper, which includes basic design principles, mechanical design, motion control, sensors system and implementation of modular software(More)
A number of different forecasting methods have been proposed for cooling load forecasting including historic method, real-time method, time series analysis, and artificial neural networks (ANN), but accuracy and time efficiency in prediction are a couple of contradictions to be hard to resolve for real-time traffic information prediction. In order to(More)
In this paper, a novel building cooling load forecasting approach combining kernel principal component analysis (KPCA) and support vector machine (SVM) is proposed. KPCA is an improved PCA, which possesses the property of extracting optimal features by adopting a nonlinear kernel function method. The original inputs are firstly transformed into nonlinear(More)
A novel approach used for Printed Circuit Board (PCB) defect inspection is presented in this paper. This image processing approach that developed in Lab Windows/CVI can be used to determine whether PCB components are put in the correct location, and matches areas of inspection to a template of valid components. The experimental result shows that the(More)
In this paper, a novel HVAC fan machinery fault recognition method combining kernel principal component analysis (KPCA) and support vector machine (SVM) is proposed. KPCA is an improved PCA, which possesses the property of extracting optimal features by adopting a nonlinear kernel function method. Support vector machine (SVM) is a novel approach based on(More)
Genetic Algorithms (GAs) have demonstrated to be effective procedures for solving multi criterion optimization problems. These algorithms mimic models of natural evolution and have the ability to adaptively search large spaces in near-optimal ways. One direct application of GAs is in the area of evolutionary robotics, but standard GAs have some drawbacks(More)