Papers by Keyword: Growth Model

Abstract: Analysis of hot-filament CVD (HF-CVD) growth of high quality 3C-SiC on micron-sized 3C-SiC mesas is presented. Two types of growth were observed: 1) a relatively slow growth at about 1μm/hour, and 2) an almost three times faster growth, correlated with the presence of domain boundaries in, or adjacent to, the mesas. Both reveal well-defined crystallographic facets and sharp corners between them. The slower growth has been identified to be surface-nucleation-limited, seemingly defect-free, while the faster growth has been identified as being caused by defect-induced step-flow growth. A growth model is presented, yielding a growth rate of 1.18 μm/h for the defect free {111} and (100) plane and 2.8 μm/h for {110} planes.

Abstract: The purpose of this study is to analyze the trends of smart city technology, which has attracted attention recently in relation to its urban revival functions along with changes in the industrial structure in deprived urban areas, and to draw implications. With this aim, the trends by country and detailed research field were analyzed in this study through a technology level analysis, and the technology growth stage and network analysis were examined by utilizing research paper information published worldwide. From these results, it was determined that smart city technology is likely to be commercialized because recently it has reached a maturity stage, and relevant research has been conducted actively mainly by China, the USA, and major European countries. Through this trend analysis, useful information is presented in this study for establishing R&D strategies to preoccupy the smart city technology field.

Abstract: To establish digital growth model of Kentucky bluegrass repent stem, and study growth process of Kentucky bluegrass repent stem in coordinate system. After observing and studying growth data we found that there is a quick-slow-quick growth rhythm in the growing process, and the growth model of length is established according to the growth rhythm. Then using RMSE statistical methods to verify the model, the results indicates that the growth model is in line with grasses repent stem natural growth rhythm and has a certain degree of reliability and accuracy, it can describe the growth of repent stem exactly.

Abstract: Information technology includes neural networks, ontology technology, expert system, and so on, and the growth model can predict and manage growth conditions of fruit trees. The traditional expert system has shortcomings of poor self-learning ability, so the improved expert system is used to perform diagnosis of diseases and insects of fruit tree. Firstly the ontology is used to collect related symptoms of diseases and insects of fruit trees, the expert system and neural network are combined to build the prediction model of diseases and insects of fruit tree, then the conclusions of the diagnostic process are regarded as the input neurons and output neurons of neural networks, and are diagnosed by expert, so the prediction models of disease diagnosis of fruit trees are made. The models can implement the function of expert diagnosis and prediction, and provide technical support and management decision for the growth management of fruit tree, greatly improving the diagnosis efficiency of diseases and insects of fruit tree.

Abstract: In recent years the research on structure and efficiency mode of farmland shelterbelt are more, while the prediction models of the poplar are much less. The growth model is based on poplar growth and management, the development of information technology provides new methods for the research and evaluation of poplar growth model. All kinds of information technology are used to extract growth character parameters of poplar, and neural network and expert system is used to establish the relational models of the character parameters and production management of poplar, these models are used to provide the basis for the cultivation of poplar growth and management, which have important theory value and practical significance.

Abstract: Mass balance between metal and electrolytic solution, separated by a moving interface, in stable pit growth results in a set of governing equations which are solved for concentration field and interface position (pit boundary evolution), which requires only three inputs, namely the solid metal concentration, saturation concentration of the dissolved metal ions and diffusion coefficient. A combined eXtended Finite Element Model (XFEM) and level set method is developed in this paper. The extended finite element model handles the jump discontinuity in the metal concentrations at the interface, by using discontinuous-derivative enrichment formulation for concentration discontinuity at the interface. This eliminates the requirement of using front conforming mesh and re-meshing after each time step as in conventional finite element method. A numerical technique known as level set method tracks the position of the moving interface and updates it over time. Numerical analysis for pitting corrosion of stainless steel 304 is presented. The above proposed method is validated by comparing the numerical results with experimental results, exact solutions and some other approximate solutions.

Abstract: In order to simulate growth process of plant, and visually display the growth development of plant under different physiological and ecological factors, the growth model is investigated from the perspective of intelligent expert system. The paper analyzes the structure mechanism of plant growth, introduces the construction process of plant growth model, presents the research of expert system, then discusses the integration mechanism of plant growth model and agricultural intelligent system, proposes the combination frame of the physiological and ecological models of plant, contributing to decision-making of expert system and visually showing the growth process of plant. The practice indicates that the system greatly improves the accuracy and reliability of the model simulation of plant growth and has great significance in improving the management level of plant growth.

Abstract: In order to achieve the quantification analysis and visualization of poplar morphology, the technology framework of poplar simulation based on growth model is made. The paper carries out data collection and field observation, then the morphological structure parameters and knowledge models which can describe different poplar varieties are constructed, in the framework of the poplar growth models we integrate poplar morphological knowledge models and geometric models based on morphological character parameters, make the growth model of poplar can output morphological character parameters and topological structure, and further perform the geometric model reconstruction of poplar growth simulation. Practice has proved that the construction of growth models of poplar can simulate the poplar growth at different growth stages, and provide new ideas and means for growth simulation research of poplar morphology structure.

Abstract: In order to improve the decision performance of expert system, then the growth simulation model based on expert system is proposed. The paper discussed the structure and functions of plant growth model, and analyzed the related techniques and so on, and the structure and functional modules of growth management system are introduced at first, then the growth model of plant is made, the expert system is used to carry out decision-making on the growth of plant, then the visual simulation model is used to simulate the growth management and yield of plant. Research result has shown that the system can perform well and help the managers to provide decisions for the management of plant. Research and development of this system provide technical reference for the development of new agricultural expert system.

Abstract: In the research, the dissolved oxygen, energy efficiency index, growth of aquatic worms and sludge reduction were determined and analyzed. The energy use of aeration and the growth of aquatic worms were investigated during the process of in-situ sludge reduction by aquatic worms. For the wastewater treatment system adding with adequate aquatic worms, the power consumption was not increased and the utilization rate of oxygen was improved. The growth of aquatic worms well fitted DoseResp function and the sludge production was reduced evidently. Results indicate that the wastewater treatment adding with aquatic worms utilizes aeration energy sufficiently and reduces sludge production effectively.