In order to study the relationship of the damage evolution and acoustic emission fractal of
marble under uniaxial compressive load, damage evolution and acoustic emission(AE) character of
marble under uniaxial compression are studied using MTS815.04 servo-controlled rock mechanical
test system and AEwinE1.86 system. The relationship curves of damage variable and correlation
dimension is analyzed. The results show that the value of correlation dimension is great and there are
few feature points in the stage of initial damage, and then the values of correlation dimension
drastically change and reduce as a whole and feature points increase rapidly in the stage of damage
stable evolution and development, finally the values of correlation dimension reduce to the minimum
and feature points are intensive in the stage of damage accelerating development. The phenomenon
that the value of correlation dimension appear choppy greatly reduce can be thought failure precursor
of rock and that the values of correlation dimension reduce to the minimum can be thought the
damage of rock basically completed.
This paper establishes tree model based on L system, and builds the wind field
mathematical model added noise disturbance; focusing on the leaves dancing in the branches with the
wind and leaves fall in motion; and it avoids the occurrence of the penetration phenomena in the leaf
movement process because of using bounding sphere method in combination with the convex
polyhedron detection method for collision detection. The whole system is developed by VC++ 6.0
environment combined with OpenGL tool, the simulation process is real and natural, which can meet
the requirements of real-time. The proposed algorithm is applied to the leaves motion simulation
when wind speed is not too large, the wind model should be improved for the more detailed research
in the future, considering the condition of the branch breaking caused by wind speed and the
complexity of the tree model structure.
For the development of the construction industry, the construction of data era is
approaching, BIM (building information model) with the actual needs of the construction industry has
been widely used as a building information clan system software, different software for the practical
application of different maturity, through the expert scoring method for the application of BIM
technology maturity index mark, establish the evaluation index system, using PCA - Q clustering
algorithm for the evaluation index system of classification, comprehensive evaluation in combination
with the Choquet integral on the classification of evaluation index system, to achieve a reasonable
assessment of the application of BIM technology maturity index. To lay a foundation for the future
development of BIM Technology in various fields of construction, at the same time provides direction
for the comprehensive application of BIM technology.
. In recent years, in order to meet the trend of popularization of higher education, expanding
the scale of Chinese colleges and universities, and lead to university campuses scattered teaching
resources, and information to be slow, poor accuracy and efficiency of the office problems have
emerged. The construction of digital campus is not only working for the university scientific research, management provides a fast and convenient information service, and realize the education space and
time, teaching contents, means and forms of further opening, largely improves the ability of teaching
and scientific research ability and management level. This article through to the digital campus in the
process of planning and design requirements, puts forward the conception and design of the
construction of the digital campus network, then the digital campus network topology, design of core
network, IP address assignment has carried on the discussion a rough. For the design of the digital
campus construction provides a draft plan.
The thesis research work is based on adopting the combination of theory and technology research. For the unique characteristics of bambusoideae in yunnan province, analyses the characteristics, value and the present situation of resources of bambusoideae plant resources in yunnan province. According to the system requirements of the specimen of bambusoideae in Yunnan province, by Microsoft. Net framework platform, a collection of Web services and ASP.NET technology, based on the data of Microsoft SQL Server2008 and ADO.NET technology support, selecting desktop GIS Arc GIS platform (Arc GIS Desktop) and server (Arc GIS Server) as a system of GIS secondary development of GIS, and using developed tools of Microsoft Visual Studio 2010 Visual, Finally, the information system of plant specimen which based on GIS integration development of bambusoideae is finished .
In this paper environmental regulation intensity is built. Panel regression model and Grouping regression are used to verify impact of environmental regulation on corporate environmental investment of computer industry. Panel regression results show there is a negative correlation between environmental regulation intensity and environmental investment of computer industry. Grouping regression results show that environmental regulation has a “Threshold Effect” on environmental investment of computer industry.
Ecological factors is generally refers to only important factor in a variety of biological impact of environmental factors and it is to determine the distribution of habitats. To analyze the Yunnan Bambusoideae affecting habitat distribution ecological factors principal component, first analyze the basic theory and geometric meaning of the Principal Component. Based on this analysis to determine the steps, we selected hollow bamboo genera hollow bamboo as a typical case of bamboo species for this analysis. The second to standardize ecological factors data, building Habitat distribution Factor correlation matrix to determine y1, y2, y3 as three main components. Evaluate the habitat distribution of hollow bamboo by principal component analysis.
The study on the space-time feature of foundation pit deformation has important significance to ensure the stability of foundation pit engineering. In the present study, the relationship between the space-time fractal feature of foundation pit deformation and the stability of the foundation pit has not been studied adequately. By combining the concrete engineering example, used the FLAC3D software for numerical simulation, and the simulated values were compared with the actual value. Finally, we researched on the relationship between the foundation pit deformation and the stability of foundation pit. Research showed that FLAC3D could reveal the complex spatial and temporal characteristics of foundation pit deformation. But compared with the actual monitoring value, it still has some limitations.
In order to study the general rule of coal mine accidents in China in recent years, the data of coal mine accident in 2011-2015 is analyzed. The mathematical statistics method is used to analyze the occurrence year, type, season and area of the accident. The results of analysis shows that the coal mine accident has been reduced year by year, and the frequency of gas explosion is the highest. The frequency and the number of deaths in the second quarter of the year are the highest; Guizhou province, Hunan province, Yunnan province and Heilongjiang province are the accident prone provinces. GM (1, 1) dynamic prediction model is used to model and forecast the future million tons mortality in China. The forecast results show that the coal mine's million tons mortality rate of China showed a decreasing trend. The forecast results are scientific and reliable, and it is of great significance to the safety management of coal mine.
The study on the space-time feature of foundation pit deformation has important significance to ensure the stability of foundation pit engineering. In the present study, the relationship between the space-time fractal feature of foundation pit deformation and the stability of the foundation pit is expressed with simple indexes, such as the time and position of the maximum value of deformation. By combining the concrete engineering example, the fractal theory is introduced, and the correlation dimension is calculated with the measured deformation data for a period of time. By combining the concrete engineering example, the fractal theory was introduced, and used the correlation dimension calculated with the measured deformation data to analyze the space-time fractal feature of deformation at convex corner. Further researched on the relationship between the correlation dimension of the foundation pit deformation and the stability of foundation pit. The research showed that the correlation dimension could reveal the complex space-time feature of the foundation pit deformation. From the aspects of time, the correlation dimension is related to the foundation pit condition, construction disturbance, the change of supporting structure and so on, and has a certain degree of decline with time. From the aspects of space, the difference of correlation dimension between stable and unstable regions is relatively large while there is little difference in the stability region. With the correlation dimension, it is more easily to identify the stable and the unstable regions of the foundation pit, compared with the accumulated deformation.
Innovative talent is the key factor to promote the development of innovative economy and realize innovative drive in Jiangsu Province. Innovative talent agglomeration can fully play the effect of innovative talents through the agglomeration efficiency. Among many factors that affect the agglomeration of innovative talents, the guiding role of government policy factors is becoming more and more important. Based on the survey of domestic and foreign literature, through questionnaire survey, this paper combines relevant analysis and regression analysis to study the mechanism between the of scientific research funds investment, household registration policy, outstanding achievement award and patent licensing and the innovative talent agglomeration. The results show that the investment of scientific research funds, the household registration policy, the outstanding achievement award and the patent authorization have remarkable influence on the innovation talent agglomeration. The conclusion of this study not only expands the theoretical research field of government policy and innovative talent agglomeration, but also provides practical guidance for the government of Jiangsu Province in the era of innovation knowledge.
The multivariate statistical method of Fisher discriminant analysis is applied to safety evaluation, through the analysis of the original data, the assessment process, built up to reflect the evaluated object security status of evaluation function model, so as to simplify the subsequent similar evaluation target workload. The two mine in south of a mining enterprise subordinate to the environmental conditions in six integrated index evaluation, comprehensive index function model is established, finally, the Fisher discrimination obtained results with Bayesian discriminant obtained results, the correctness of the model is verified that the model reliability is high, and simple and practical.
With the rapid development of the domestic economy, college education resources between the increasingly fierce competition, colleges and universities for the sake of development is bound to increase the investment funds for education facilities, under the new situation, the author tries to from the change of the financial environment of analysis of financial environment changes to the financial work of colleges and universities bring practical problems, and puts forward the measures to strengthen the financial capacity of colleges and universities.
Since environmental suitability is one of the vital properties of weaponry, environment test is the necessary measure to improve weaponry’s environmental suitability, in which temperature control is a key part. It is necessary to investigate the temperature control methods which could enable the system to track setting smoothly, to reject disturbances effectively, and to response rapidly. In this paper, we design a 2DF controller firstly. Then, Smith predictive control is introduced to the 2DF control system, which is good at the ubiquitous time-lag in temperature control systems. The Smith-2DF control makes system to response faster with less overshoot, to track input and regulate disturbances synchronously and separately.
There were huge stock of existing buildings,most of them were high energy consumption buildings in China.Green transformation in existing buildings was the only way to improve building use function,reduce energy consumption,save resources,and improve the service life of buildings.While quantity of transformation was huge,priority selection of transformation project was necessary in shortage of social resources.The index system was established from fund raising,transformation efficiency,project implementation three aspects.Entropy method was used to determine the index weight,and the model of project priority selection was established based on fuzzy comprehensive evaluation.Finally,the feasibility of the model was verified through the example,and some policy suggestions were put forward.
Information Technology (IT) and its usage in administrations and across the supply chain has develop a factor of competitive benefit for numerous companies. This paper focuses the practice of IT tools for Supply Chain Management (SCM) . It also highlights the impact of IT in helping to rearrange the whole delivery set up to accomplish advanced service levels and lower inventory and lower supply chain charges . An overview and perceptible benefits of the present IT tools that are extensively organized is also providing with focus on current configurations considerations, accessible applications. The role of existing communication technologies in making IT an enabler of SCM is highlighted by addressing a range of dissimilar point and initiative solutions in a diversity of supply chain settings.
The opposite (Opposite Degree, referred to as OD) algorithm is an intelligent algorithm proposed by Yue Xiaoguang et al. Opposite degree algorithm is mainly based on the concept of opposite degree, combined with the idea of design of neural network and genetic algorithm and clustering analysis algorithm. The OD algorithm is divided into two sub algorithms, namely: opposite degree - numerical computation (OD-NC) algorithm and opposite degree - Classification computation (OD-CC) algorithm.
The concept of k-order sequence of first order arithmetic sequence has been defined by mathematical induction based on finite difference theory. It has been proved this sequence is higher arithmetic sequence. Meanwhile the sum formula and the derivation of its implicit common difference have been given.
In order to achieve the goal of medical education, medicine and adapt to changes in the way doctors work, with the rapid medical teaching methods of modern science and technology must be reformed. Based on the current status of teaching in medical colleges method to analyze the formation and development of medical teaching methods, characteristics, about how to achieve optimal medical teaching methods for medical education teachers and management workers comprehensive and thorough change teaching ideas and teaching concepts provide a theoretical basis.
The shortage of energy resources is a serious problem our country is facing the world today, petrochemical enterprises are the main pillar of our economy, in our country, because petrochemical companies accounted for about 30.2% of the total energy consumption of energy. This paper focuses on the traditional energy-saving lighting methods proposed intelligent energy-saving system based on a fuzzy control. The purpose is to make the electrical equipment to fully meet, under the premise of improving its functional requirements, as far as possible to reduce energy consumption and improve energy efficiency.
The software reliability is the ability of the software to perform its required function under stated conditions for a stated period of time. In this paper, a hybrid methodology that combines both BP neural network and fractal models is proposed to take advantage of unique strength of BP neural network and fractal in modeling. Based on the experiments performed on the software reliability data obtained from literatures, it is observed that our method is effective through comparison with past methods and a new idea for the research of the software failure mechanism is presented.