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There are several prevailing methods for selecting knots for curve interpolation. A desirable criterion for knot selection is whether the knots can assist an interpolation scheme to achieve the reproduction of polynomial curves of certain degree if the data points to be interpolated are taken from such a curve. For example, if the data points are sampled from an underlying quadratic polynomial curve,...
Under the instruction of constructivism, this paper presents an innovative, interactive and independent instructional model based on innovative experiments. This advanced instructional model aims at cultivating students not only to grasp and use knowledge or skills but to discover problems and solve them in an active way, and to learn how to learn. Innovative experiment based on constructivism instructional...
The validity of the evaluation method will determine the quality of the electronic components' application. Based on the research of the electronic components' characters, the paper chooses the grey clustering analysis based on the relative membership degree as the method to evaluate electronic components. This method can effectively reduce the subjectivity of traditional evaluation methods, and it...
Conventional polynomial interpolation methods produce images with blurred edges, while edge-directed interpolation methods make enlarged images with good quality edges but with detail distortion in the non-edge portion. A new method for constructing a fitting surface to image data is presented. Unlike existing methods which produce enlarged images using image data as interpolation data, the new method...
A novel scheme on reality preserving image encryption is proposed in this paper. The Hilbert transform and the double random phase encoding are utilized in the proposed method. The encrypted image is real-valued without data expanding, which can benefit the digital processing of images by electronic computers where speed of computation is important. The image is processed in the plane which can be...
Forecasting agriculture water demand is significant to optimize confirmation of water resources. In this study, we introduce a hybrid model which combines rough set theory and least square support vector machine to forecast the agriculture irrigation water demand. Through a certain district agriculture irrigation water demand dataset experiment, we have proved that the reduction feature set exacted...
Accurate building cooling load forecasting is the precondition for the optimal control and energy saving operation of HVAC systems. Hourly cooling load forecasting is a difficult work as the load at a given point is dependent not only on the load at the previous hour but also on the load at the same hour on the previous day. In this paper, a novel short-term cooling load forecasting approach is presented...
This paper introduces the design of smart cars based on 16-bit microcontroller MC9S12XS128, which is provided by Freescale Semiconductor Company. The controller is also combined with the steering gear to make up path identification. Its speed control system uses a CCD camera to track the black line through edge detection. In addition, it uses MOSFET to set up H bridges driving circuit. Omron rotary...
Aiming at data sharing between Geomagic and SolidWorks, the article gives some methods dealing with data in point phase, polygon phase and shape phase. Meanwhile, the article takes an example which shows its input methods and efforts in different way from Geomagic to SolidWorks.
In order to predict blended coal's property accurately, a new kind of hybrid prediction model based on principal component analysis (PCA) and weighted support vector machine (WSVM) was established. PCA was used to transform the high-dimensional and correlative influencing factors data to low-dimensional principal component subspace. These new features are then used as the inputs of WSVM to solve the...
Accurate building cooling load forecasting is the precondition for the optimal control and energy saving operation of HVAC systems. Many forecasting approaches such as artificial neural network (ANN), support vector machine (SVM), autoregressive integrated moving average (ARIMA) and grey model, have been proposed in the field of building cooling load prediction. However, none of them has enough accuracy...
Traditional time series forecasting models are difficult to capture the nonlinear patterns. Support vector regression (SVR) is a powerful tool for modeling the inputs and output(s) of complex and nonlinear systems. However, parameters determination for a SVR model is competent to the forecasting accuracy. Several evolutionary algorithms, such as genetic algorithms and simulated annealing algorithms...
Accurate building cooling load forecasting is the precondition for the optimal control and energy saving operation of HVAC systems. Hourly cooling load forecasting is a difficult work as the load at a given point is dependent not only on the load at the previous hour but also on the load at the same hour on the previous day. So the accuracy of forecasting is influenced by many unpredicted factors...
Various subject-based English (SBE) teaching methods are presented in this paper. Appropriate teaching methods for different teaching materials and situations help to improve learners' interest and efficiency. SBE teaching needs an interactive education model. The interactive education model is a challenge to the teachers' leading position in the education. Teachers' function transits to organizer...
Mobile robotics has been used widely in education as a learning tool, as it provides a motivating and interesting tool to perform laboratory experiments within the context of mechatronics, electronics, computer, and control. The robot innovative platform made it possible for the students to practice and learn many necessary skills. A tracing algorithm about machine vision intelligent tracing System...
In China, more and more daily food consuming has transferred from quantity to quality, and with economic development and people's living standards improve, more people like green food. The paper analyzes the characteristics of Green Agricultural products, combining the use of modern information technology-Internet of Things(IOT),and proposed an innovative Business Strategy Model. With the change and...
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 principal components using KPCA. These new...
This study develops a novel methodology hybridizing genetic algorithms (GAs) and support vector regression (SVR) and implements this model in a problem forecasting hourly cooling load. The aim of this study is to examine the feasibility of SVR in building cooling load forecasting by comparing it with back-propagation neural networks (BPNN) and the autoregressive integrated moving average (ARIMA) model...
The study of traveling behavior of local residents concentrates on illustrating travelling regularities and traffic mode choice, which is significantly important for traffic planning and management policies. Based on travelling chain, this paper systematically combines four parameters, including time dimension, space dimension, and mode dimension and activity types of traffic system together, thus...
With the development of China's economy as well as the improvement of the reform and opening-up's level, the status of logistics industry in our economy also has been strengthened continuously. As an integrated industry which combined service with device fabrication, logistics industry has an obvious influence on the regional economies. Adapting to system dynamics, the elements of the logistics industry...
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