Henan Industry and Trade Vocational College

Zhengzhou, China

Henan Industry and Trade Vocational College

Zhengzhou, China
SEARCH FILTERS
Time filter
Source Type

Sun Q.,Henan Industry and Trade Vocational College
Agro Food Industry Hi-Tech | Year: 2017

Compared with the entrepreneurship education in western universities, the entrepreneurial education in domestic colleges and universities faces the shortcomings of external atmosphere, institutional environment, system design and ideological transformation. It can promote the ecosystem stability and healthy development by class guidance, top-level design, ideological transformation and system construction. Innovation culture is the root of entrepreneurship education, and innovation culture can completely change the education of entrepreneurship. The ecosystem of entrepreneurship education in universities requires top-level design and top-down reform and optimization. Therefore, it should integrate entrepreneurial education into the whole social education system, and from primary to university period infiltrating the pioneering spirit of entrepreneurship education, thus ensuring innovation and entrepreneurship education effectively become a way of life and carrier form of a free and comprehensive development for all students. To this end, this paper, takes Jiangsu province as example, describes the innovation culture based on the construction strategy of entrepreneurial education system in colleges and universities.


Peng B.,Henan Industry and Trade Vocational College
Information Technology and Career Education - Proceedings of the International Conference on Information Technology and Career Education, ICITCE 2014 | Year: 2015

In this paper, the author designs the logistics supply chain with genetic algorithm based on the principle of facilities’ and clients’ requirements, and establishes the supply chain network and selects the coding genetic algorithm based on the principle of positive and reverse demands. Taking the supply chain of a certain region as the example, the author calculates different aspects, such as facility factory output, distribution center and client, and obtains the optimal solution of logistics supply chain design in the meantime, so as to optimize the effect of logistics supply. © 2015 Taylor & Francis Group, London.


Zhang H.,Henan Industry and Trade Vocational College
Information Technology and Career Education - Proceedings of the International Conference on Information Technology and Career Education, ICITCE 2014 | Year: 2015

The evolutionary algorithm applied in this paper is an effective way of obtaining the optimal solution. Evolutionary algorithm is to improve the solution of the original problem, obtain an optimized solution, and then conduct a further improvement according to the solution. Starting from a set of initial solutions, evolutionary algorithm first judges the set of solutions and then filters initial solutions for the basis of iterative solutions repeatedly until all the results meet the requirements. The problem of logistics supply chain scheduling is the problem of optimal solution. Cost saving, acceleration and other effects in the process of scheduling can be realized by the scheme of obtaining the optimal solution of logistics supply chain scheduling based on evolutionary model. © 2015 Taylor & Francis Group, London.


Liu Y.,Henan University of Economics and Law | Wang W.,Henan Industry and Trade Vocational College | Ghadimi N.,Islamic Azad University at Ardabil
Energy | Year: 2017

For optimal power system operation, electrical generation must follow electrical load demand. So, short term load forecast (STLF) has been proposed by researchers to tackle the mentioned problem. Not merely has it been researched extensively and intensively, but also a variety of forecasting methods has been raised. This paper outlines a new prediction model for small scale load prediction i.e., buildings or sites. The proposed model is based on improved version of empirical mode decomposition (EMD) which is called sliding window EMD (SWEMD), a new feature selection algorithm and hybrid forecast engine. The aims of proposed feature selection algorithm is to maximize the relevancy and minimize the redundancy criterion based on Pearson's correlation (MRMRPC) coefficient. Finally, an improved Elman neural network (IENN) based forecast engine proposed to predict the load signal in this procedure. All weights of this forecast engine have been optimized with an intelligent algorithm to find better prediction results. Effectiveness of the proposed model is carried out to real-world engineering test case in comparison with other prediction models. © 2017 Elsevier Ltd


Feng Z.Q.,Henan Industry And Trade Vocational College | Tao Z.,Henan Peoples Radio Station
Advanced Materials Research | Year: 2014

This paper studies the innovation strategy of HeNan grain group management, food structure adjustment,establish long-term effective mechanism of industrialization, give play to the role of collective resources aggregation, strengthen the government macroeconomic regulation and control ability, enhance the international market competitiveness, realize the central plains economic zone construction, construction of national food core, farmers get rich, urban and rural residents' demand for food. Implement the strategy of innovation management strategy, strengthen leadership, overall coordination, perfecting the corporate governance structure, value chain and system building group, set up group risk prevention system, formulate the development strategy and strategy. © (2014) Trans Tech Publications, Switzerland.


Liu S.,Henan Agricultural University | Wang Y.,Henan Agricultural University | Bai B.,Henan Agricultural University | Su C.,Henan Industry and Trade Vocational College | And 2 more authors.
Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering | Year: 2011

To further realize biomass briquette fuel of high efficiency combustion, the dynamic analysis was performed for the corn stalk briquette. The corn straws in different sizes (1, 0.25 mm) and different heating rate (10, 20, 40°C/min) had been studied using thermogravimetric analysis, and then were treated by first order or pseudo-second order kinetics. Thermo gravimetry, digital thermogravimetry and differential thermal could be obtained. The kinetic parameters like activation energy and frequency factor could be calculated by using thermo gravimetry and digital thermogravimetry. Thermal decomposition kinetics equation of corn straws was obtained. The results showed that corn stalk briquette combustion process could be divided into three parts: endothermic and dehydration, precipitation of volatile and the combustion reaction, fixed carbon combustion reaction. Different rate of temperature and sample fineness had some influences on the activation energy and the maximum weight loss rate. The activation energy of cornstalk briquette reached maximum at heating rate of 20°C/min. The study could provide theoretical basis for further research on the actual pyrolysis process of biomass briquette fuel and determine design parameters of burning equipments.


Qi A.,Henan Industry and Trade Vocational College | Xu J.,Soochow University of China
Proceedings - 2010 3rd International Conference on Biomedical Engineering and Informatics, BMEI 2010 | Year: 2010

Skeleton extraction has important application value on object recognition, shape retrieval and feature extraction. Traditional skeleton extraction methods more or less have some flaws. Due to the complexity and diversity of cerebral blood vessels images, the traditional skeleton extraction algorithm can not often get continuous skeletons. This paper presents a new framework to calculate the continuous brain blood vessel skeleton curves of binary images and gray-scale images. Algorithm first determines the shape topology nodes of objects, then extract skeletons using the topology nodes as sources point. Experiment and analysis can verify the validity and robustness of this method and it is not sensitive to the boundary noise. This electronic document is a "live" template. The various components of your paper [title, text, heads, etc.] are already defined on the style sheet, as illustrated by the portions given in this document. ©2010 IEEE.


Zhang G.,Henan Industry and Trade Vocational College | Feng D.M.,Soochow University of China
Proceedings - 2010 3rd International Conference on Biomedical Engineering and Informatics, BMEI 2010 | Year: 2010

This paper presents a new framework to calculate the continuous brain blood vessel skeleton curve of binary images and gray-scale images. The main idea of the method is: the minimum cost path between any two skeleton points is a skeleton line. Algorithm using two different intermediate functions, one is Euclidean distance field and another is deformed gradient vector flow, gained two different energy function respectively proportional to them. The topology nodes from first energy function control the shape of the object, and the second one control skeleton extraction using topology nodes as the source points. Experiment and analysis can verify the validity and robustness of this method, and not sensitive to the boundary noise. ©2010 IEEE.


Tao J.,Zhengzhou University | Yang S.,Henan Industry and Trade Vocational College
Proceedings - 6th International Conference on Internet Computing for Science and Engineering, ICICSE 2012 | Year: 2012

As a sunrise industry, sporting goods industry is rapid growth in E-commerce. Information overload become an important issue in this situation. Recommendation system is a good way to solve this problem. In order to find a recommendation strategy for sporting goods in E-commerce, Vague Sets, Gaussian function and characteristics of uncertainty were used to represent sporting goods features with Vague value in this paper. On this basis, the general steps of recommendation strategy with Vague Sets were given, in order to get a new idea and method to decision-maker. Finally, recommender formula is given, which will be conducive to the work of the actual recommendation strategy. © 2012 IEEE.


Qi A.,Henan Industry and Trade Vocational College
2010 International Conference on Networking and Digital Society, ICNDS 2010 | Year: 2010

This paper presents a continuous skeleton extraction method of color image. This method makes use of a new color level set model based on Bayesian classifier and uses two intermediate functions to extract the topology information and skeleton in HSV space. Not require pre-processing of color images can we get a complex gradient color image skeleton using this method. Because all the parameters are obtained from the analysis, so it avoids artificial intervention. Experiment and analysis can verify the validity and robustness of this method and it is not sensitive to the color gradient and the boundary noise. ©2010 IEEE.

Loading Henan Industry and Trade Vocational College collaborators
Loading Henan Industry and Trade Vocational College collaborators