Mathematical and Computer Modelling
Pengtao Jia1, Jun Deng2, Shuhui Liang1
1School of Computer Science and Technology, Xi’an University of Science and Technology, Xi’an Shaanxi 710054, China
2School of Energy Engineering, Xi’an University of Science and Technology, Xi’an Shaanxi 710054, China
This paper focuses on the effective analysis of the coal spontaneous combustion monitoring data, so as to realize the accurate and reliable coal spontaneous combustion limit parameter prediction. Firstly, a weighted multimember fuzzy operation model was constructed. When the additive generator of the model changes, this model can generate new operation clusters. Based on it, a new combined forecasting model of coal spontaneous combustion limit parameter is proposed. The new model can use linear and nonlinear models as its single forecasting models. Its combination is variable and has good generalization ability. Then, the BP neural network model and the support vector machine were used as the single forecasting models of the new model. Finally, for realizing the optimal combination of single models, genetic algorithm and least square method were used to evaluate parameters of new model. The experimental analysis shows that the new model leads to less error and better performance than single models. It can be concluded that the new combined forecasting model is suitable for coal spontaneous combustion.
EXPONENTIAL SYNCHRONIZATION OF COMPLEX NETWORKS WITH NON-DELAYED AND DELAYED COUPLING VIA HYBRID CONTROL
Guoliang Cai, Shengqin Jiang Jiang, Shuiming Cai, Lixin Tian
Nonlinear Scientific Research Center, Jiangsu University, Zhenjiang, Jiangsu, 212003, China
In this paper, the different structure synchronization of the two complex chaotic networks with time-varying delay and non-time-varying delay coupling is considered. Based on Lyapunov stability theory, combined with Yong inequality approach, Hybrid control including periodically intermittent control and adaptive control is designed such that the two complex chaotic networks achieves the exponential synchronization. Different numerical simulations are given to illustrate the effectiveness of the proposed method. Moreover through comparing the numerical simulations with the different functions of time delay, we can get how the time delay function impacts the complex chaotic networks synchronization in this model.
Mingming Qi1, 2, Yang Xiang1
1Department of Computer science and technology, Tongji University, Shanghai, 201804, China
2Yuanpei College of Shaoxing University, Shaoxing, Zhejiang 312000, China
In order to reduce the computational complexity and promote the classification performance of Modular Weighted Global Sparse Representation (MWGSR), Tensor Modular Sparsity Preserving Projections (TMSPP) for dimensionality reduction is proposed. The algorithm firstly partitions an image into several equal-sized modules and constructs these modules into a third-order tensor image; then, the algorithm makes module sparse reconstructions and some modules with less reconstruction errors are selected. These selected modules are recombined into a dataset with fewer dimensions and a new sparse reconstruction weight is gotten on the new dataset, which is denoted as the sparse reconstruction weight of original samples; finally, projection matrices are gotten with steps of tensor sparsity preserving projections on the reconstructed tensor images. The algorithm promotes the computational efficiency and the robust performance of sparse preserving projections on high-dimensional datasets. Experimental results on YaleB and AR face datasets demonstrate effectiveness of proposed algorithm.
Gongfa Li1, 2, Fuwei Cheng1, Honghai Liu1, 2, Guozhang Jiang1, Jia Liu1
1College of Machinery and Automation, Wuhan University of Science and Technology, Wuhan 430081, China
2 Intelligent Systems and Biomedical Robotics Group, School of Creative Technologies, University of Portsmouth, Portsmouth, PO1 2DJ, United Kingdom
Coke oven production possesses the characteristics of nonlinear, large inertia, large disturbances, and highly-coup ling and so on. According to the characteristics of coke oven production process and control demand of coke oven production, intelligent control structure and models of coke oven production process was conducted. Firstly the intelligent control structure of coke oven production process was established. Then coal blending intelligent control, gas collector pressure intelligent control and combustion intelligent control of coke oven were discussed simply, while heating intelligent control, the production plan and schedule were discussed in detail. The control principle of combining the intermittent heating control with the heating gas flow adjustment was adopted, and fuzzy hybrid control was proposed to establish heating intelligent control strategy and model of coke oven, which combined feedback control, feed forward control and fuzzy intelligent control. The production plan and schedule of coke oven were optimized by utilizing the dynamic program and genetic algorithm. The practical running indicates that the system can effectively improve quality of coke and decrease energy consumption.
School of Automation, Hangzhou Dianzi University, Hangzhou, China
In this paper, the output regulation problem is investigated, which consists of building a controller to asymptotically steer the output of a saturated linear systems to a given reference signal despite external disturbances. Particularly, for saturated systems subject to periodically time-dependent exosytem, a K-step asymptotically regulatable region was characterized by a set of all the initial states of the plant and the exosytem. Improved internal model principles were constructed on the balance between the state convergence rate and the control of all the initial state. Finally, a state feedback controller was designed to ensure exponential output regulation in the regulatable region with disturbance rejection. Simulation examples were given to illustrate the effectiveness of proposed method. The results show these systems can go into stable rapidly and periodically.
Hui Zhang1, Jinzhao Wu2, Hongyan Tan3, Hao Yang1
1Chengdu Institute of Computer Application, Chinese Academy of Sciences, China
2Guangxi Key Laboratory of Hybrid Computational and IC Design Analysis, Guangxi University for Nationalities, China
3Institute of Acoustics, Chinese Academy of Sciences, China
In allusion to data error and equivalence relation for software program design, the paper proposes approximate trace equivalence of real-time linear algebraic transition systems. Firstly, it leads real-time algebraic program into transition system and establishes real-time linear algebraic transition system. And then, it uses matrix norm and matrix singular value decomposition to analyse approximation of traces. Afterwards, it obtains approximate trace equivalence of real-time linear algebraic transition systems. Finally, the traffic light control vehicle flow system example shows that approximate trace equivalence of real-time algebraic transition systems can optimize real-time linear algebraic programs and reduce states.
Yijun Liu, Sheng He, Yao Wang, Xiumei Wang
Key laboratory of cloud computing & intelligent information processing of Changzhou City, Jiangsu University of Technology, 213001, China
The aim of this study is to use neural network tools as an environmental decision support in assessing environmental quality. A three-layer feedforward neural network using three learning approaches of BP, LM and GA-BP has been applied in non-linear modelling for the problem of environmental quality assessment. The case study shows that the well designed and trained neural networks are effective and form a useful tool for the prediction of environmental quality. Furthermore, the LM network has the fastest convergence speed and the GA-BP network outperforms the other two networks in both predictive and final classification accuracies of environmental quality.
DESIGN OF Q450 PELLET MOLDING MACHINE AND FORCE ANALYSIS OF ITS MOLDING ASSEMBLY BASED ON SOLIDWORKS
Xiangyue Yuan, Zhongjia Chen
School Of Technology, Beijing Forestry University, Beijing 100083, China
Energy shortage and environmental pollution is a common serious problem restricting the development of world economy and the society. Biomass energy has become the fourth major energy resource after oil, coal, natural gas energy for the good properties of green, clean, and renewable. So it is important to research biomass energy technology to solve the energy crisis and environmental protection. The technology of biomass densification is a simple solution to make the biomass resource become low cost and high value. In this paper, a new kind of biomass pellet molding mechanism had been deeply studied, and the pellet molding machine, Q450, was designed by the CAD/CAE, Solidworks. The load conditions of three molding assemblies fixed inside the enclosure bodies had also been studied and analysed on the designed machine. Then a method, named FEA (Finite Element Analysis), was conducted to research the mechanical properties of enclosure assembly for the pellet machine in Simulation. Through analysis, the results were obtained that the maximum stress and displacement of enclosure bodies were separately 31.37Mpa and 7.583e-2mm, which could provide the reliable strength and stiffness to the enclosure assembly. It convincingly ensured that Q450 pellet molding machine had enough reliability and security.
Yan Li1, Zhe Zhang2, Guihong Jiang1, Xiaofeng Cui1
1School of Computer, Shandong University of Technology, Zibo 255049, Shandong Province, China
2Software College, Nanyang Normal University, Nanyang 473000, Henan Province, China
Distributed environment monitoring system is more and more widely used, especially the design and verification of embedded system
in environmental monitoring is the guarantee of successful use of environmental monitoring. In this paper we demonstrate how testcase prioritization can be performed with the use of model-checkers. For this, different well known prioritization techniques are adapted for model-based use. New property based prioritization techniques are introduced. In addition it is shown that prioritization can be done at test-case generation time, thus removing the need for test-suite post-processing. Several experiments for embedded systems are used to show the validity of these ideas.
SOURCE ENUMERATION ALGORITHM BASED ON EIGENVECTOR: REVISIT FROM THE PERSPECTIVE OF INFORMATION THEORY
Wenzhun Huang, Shanwen Zhang
Department of Engineering Technology, Xijing University, No.1 Xijing Road, Xi’an, 710123, China
In case of low signal to noise ratio (SNR) and small snapshot condition, it is difficult to separate sources and noises, and the performance of classical eigenvector source estimation algorithm drops quickly. To solve the problem, further research is carried out around the characters of eigenvalue and eigenvector, and a novel eigenvalue algorithm is presented based on the theory of source enumeration. In detail, the eigenvectors of sample covariance matrix are employed as the decision factor, which is insensitive to SNR. And an improved Predictive Description Length (PDL) criterion is adopted to enumerate source number. Theoretical analysis and simulation results demonstrate that the proposed algorithm is available and efficient in case of low SNR and small snapshot condition compared with those of Minimum Description Length (MDL) and PDL.
Information and Computer Technologies
Jun Zhao, Zhong Ma, Xiangjun Wu
Wuhan Digital Engineering Institute, No.718, Luoyu Road, Wuhan, China, 430074
A method has been proposed for improving real-time communication of Switched Ethernet. Based on virtual link ideas, this method offline plans the whole network traffic under traditional Switched Ethernet hardware conditions, improves network terminal TCP/IP protocol by adding real-time communication interface, traffic shaping and priority queuing etc., and uses IEEE802.1p protocol on the switches of communication path. And it employs the network calculus theory to deduce the equation of calculating maximum end-to-end delay of real-time traffic. Meanwhile, it receives a simulation test of OPNET software. Both theoretical calculation and simulation results show that this method can effectively improve real-time communication of Switched Ethernet.
Guangchun Gao, Kai Xiong, Shengying Zhao, Cui Zhang
School of Information Science & Electronic Engineering, Zhejiang University City College, Hangzhou, China, 310015
Wavelet transforms via lifting scheme provides a general and an adaptive flexible tool for the construction of wavelet decompositions and perfect reconstruction filter banks. According to the construction of the lifting wavelet transforms, the optimal filter design method for the adaptive update wavelet transform is proposed by the authors. The optimal update filter coefficients can be acquired based on the Minimum Mean Square Error Criteria (MMSE) in the algorithm. In prediction process, take the case of LeGall 5/3 wavelet, we propose an adaptive version of this scheme that it allows perfect reconstruction without any overhead cost for the smooth signals with the jumps. Compare with other wavelet transform scheme, simulation results show that optimal adaptive wavelet transform proposed by this paper can achieve the detail signals being zero (or almost zero) at big probability and the better linear approximation for the piecewise continuous signal.
Jing Jiang, Shuang Xu, Guangyue Lu, Yongbin Xie
School of Communication and Information Engineering, Xi'an University of Posts & Telecommunications, Xi’an, 710061, China
In order to effectively reduce the feedback overhead of channel state information (CSI), a channel state information feedback algorithm based on compressed sensing was proposed for Large-scale MIMO system. Firstly considering the sparsity of spatial-frequency domain for the large-scale MIMO channel, the channel information was compressed in space domain firstly and in frequency domain subsequently, the receiver acquired the measurement vector based on compressed sensing algorithm; then feedback. CSI observations to the transmitter according to the proposed adaptive feedback protocol, at last the transmitter reconstructed CSI based on the Basis Pursuit (BP) algorithm. It is show in stimulation results that the proposed algorithm can acquire similar BER performance with perfect channel information feedback. The proposed algorithm, which feedbacks the compressed channel information, not only can significantly reduce the feedback overhead, but also ensure that large-scale MIMO performance gain.
Yong Li1, Jiang Yu1, Rong Zong1, Yan Zhang1, Jihong Shi1, Jinsong Hu2
1School of Information and Engineering, Yunnan University, No.2 of Cuihu north road, Kunming, 650091, China
2Communication Branch of Yunnan Power Grid Corporation, Kunming, 650217, China
Power line communication of the power distribution network requires higher reliability and better standards. In this paper, the ideas of cooperative communication motivate that we have presented a dual heterogeneous networks model with power line communication network and wireless sensor networks. Concatenated channel encoding with cyclic redundancy check code, convolution code, Reed Solomon code and the interleaver are respectively researched, which are used to analyse the performance of dual networks’ communication scheme. The simulated results reveal that the dual networks have better communication quality than the one of single network. Compared to dual-network with RS code, the probability of frame error transmission and bit error rate for dual-network with convolution code are lower. On the basis of the characteristics of two different kinds of concatenated codes, we put forward an improved model, which is more close to reality. The results verify the feasibility of the design.
Zhenrong Deng, Xingxing Tang, Chuan Zhang, Xi Zhang, Wenming Huang
Guangxi Key Laboratory of Trusted Software, Guilin University of Electronic Technology, Guilin 541004, China
Role-based access control as a traditional access control (discretionary access, mandatory access) is a promising place to receive widespread attention. Systematic researches on RBAC models, on one hand, this paper combined with the characteristics of Electronic government affair information management system and added regional filter function to the core RBAC model, besides, the research developed by J2EE framework and this paper presents a high availability and extensibility of RL-RABC competence management system.
Jin Yang1, 2, Lingxi Peng3, Tang Liu4
1School of Information Science & Technology, Southwest Jiaotong University, Chengdu 610031, China
2Department of Computer Science, LeShan Normal University, LeShan 614000, China
3Department of Computer and Education software/Guangzhou University, Guangzhou, China
4College of Fundamental Education/Sichuan Normal University, Chengdu, China
Cloud computing is becoming a hot research topic. However, there is little attention to cloud computing environment work for anti-spam issues. Spam has become a thorny issue facing with many countries. The overflow of spam not only great wastes the network resources, taking up the user's e-mail resources, reducing the network efficiency, affecting the normal use of the Internet, but also violates the user's individual rights. But the traditional spam solutions for anti-spam are mostly static methods, and the means of adaptive and real time analyses the mail are seldom considered. Inspired by the theory of artificial immune systems (AIS), this paper presents an anti-spam system in cloud computing environment. The concepts and formal definitions of immune cells are given, and the hierarchical and distributed management frameworks of the proposed model are built. The results of evaluation indicate that the proposed model has the features of real-time processing and is more efficient than client-server-based solutions, thus providing a promising solution for anti-spam system for heterogeneous cloud environments.
Yanjun Zhao, Chunying Zhang
College of Science, Hebei Untied University, Tangshan, 063009, China
In allusion to the certain and uncertain value which exist in the node and relationship attributes of social network, From the attributes and relation angle of the entity to analyse the similarity degree of the affirmative, negative and uncertain between them, then build the set pair entity similarity model based on the set pair analytical method and apply it to the network association detection. First of all, applying the generalized pair close potential and the generalized set loose potential in social network based on set pair analysis method, and see it as the basis of association detection; secondly, giving the set similarity calculation method based on the entity attribute and relation, from the point of view of node attribute and relations attribute to calculate respectively, by setting the weight to consolidated calculate the set pair similarity of the entity; thirdly, utilizing entity set similarity to divide network association into clustering problem, then give the association partitioning algorithm; finally, integrating with the network instance to verify the effectiveness of the new network association partitioning algorithm.
Jizhen Ye1, Jian Wei2, Yan Huang1, Jingliang Peng1
1School of Computer Science and Technology, Shandong University, Jinan, China
2Qualcomm Inc., San Diego, U.S.A.
In this paper, we make a comprehensive survey of many different methods to implement DXT1 (a widely used lossy texture compression algorithm). Besides that, we propose two new methods that aim for computing speed and image quality, respectively to implement DXT1 texture compression algorithm. For computing speed, we propose a new method called Lsq3d fit which achieves a very fast speed to encode texture images while keeping acceptable image quality. For image quality, we propose a new method called kmeans iteration fit and make a combination of it and the cluster fit from libsquish (an open source lib for DXTC). Kmeans iteration fit performs competitively in the quality of compressed texture images compared with the state-of-the-art DXT1 encoders, and we achieve different levels of quality by controlling the times of iteration. Finally, we test all the methods on Kodak Lossless True Color Image Suite, and CSIQ (Computational Perception and Image Quality Lab) image dataset. Our proposed methods have competitive results of speed and quality in both image datasets. The combination of cluster fit and kmeans iteration fit defeats all other methods in the quality of compressed images.
Xian Wu, Yan Huang
School of Computer Science and Technology, Shandong University, Jinan, China
We present an efficient method for out-of-core construction and real-time interaction of massive mesh models. Our method uses face clustering on an octree grid to simplify and build a Level-of-Detail (LOD) tree for the model. Each octree node leads to a local LOD tree. All the top layers of the local LOD trees are combined together to make the basis of the global LOD tree. At runtime, the LOD tree is traversed top down to choose appropriate local LOD trees given the current viewpoint parameters. The system performance can be dramatically improved by using hierarchical culling techniques such as view-frustum culling and back-face culling. The efficiency and scalability of the approach is demonstrated with extensive experiments of massive models on current personal computer platforms.
Xiaofeng Li1, Yanfang Yang1, Limin Jia2
1School of Traffic and Transportation, Beijing Jiaotong University, No.3, Shang Yuan Cun, Haidian District, Beijing, China
2State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, No.3, Shang Yuan Cun, Haidian District, Beijing, China
Active contour model is a promising method in image segmentation. However, existing active contour model and its evolution often suffer from slower convergence rates and easily to be trapped in local optima due to the presence of noise. In this paper, a novel curve evolution model based on kernel mapping method is presented. The method first transforms original image data into a kernel-induced space by a kernel function. In the kernel-induced space, the kernel-induced non-Euclidean distance between the observations and the regions parameters is integrated to formulate a new level set based active contour model. The method proposed in this paper leads to a flexible and effective alternative to complex model the image data. In the end of this paper, detailed experiments are given to show the effectiveness of the method in comparison with conventional active contour model methods.
Yiming Yuan, Ming Jiang, Wengen Gao
College of Electrical Engineering, Anhui Polytechnic University, Anhui, China
The traditional contact-type printed circuit board (PCB) test methods have been unable to meet the needs of the fault detection and maintenance of a variety of increasingly complex electronic equipment. The visible and infrared respectively reflects the background information and the radiation information of PCB, so we can fuse the visible image and infrared image of the board together, and use the new fusion image to locate and identify the abnormal high temperature components or areas of the circuit board. A novel fusion algorithm of multi-sensor image is proposed based on Discrete Wavelet transform (DWT) and pulse coupled neural networks (PCNN) in this paper. Firstly, the IR and visible images are decomposed by DWT, then a fusion rule in the DWT is given based on the PCNN. This algorithm uses the local entropy of wavelet coefficient in each frequency domain as the linking strength, then its value can be chosen adaptively. After processing PCNN with the adaptive linking strength, new fire mapping images are obtained. According to the fire mapping images, the firing time gradient maps are calculated and the fusion coefficients are decided by the compare-selection operator with firing time gradient maps. Finally, the fusion images are reconstructed by wavelet inverse transform. The proposed algorithm of image fusion using modified pulse coupled neural networks (MPCNN) and DWT results in better quality of fused image with Entropy, Average grads, Cross-Entropy as compared to conventional image fusion Algorithms.
Min Yang, Yaoliang Song, Qianmu Li
School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, China
Online social networks (OSN) are up-and-coming complex network systems. Experiments indicate that it is difficult for simple complex network theory to describe virus transmission behaviour. Based on comprehensive research into current virus transmission, this paper combines user behaviour with social engineering theory and builds a model of virus transmission on OSN. Key factors affecting virus transmission on OSN are then analysed. Lastly, in light of public opinion transmission theory, this paper refers to social reinforcement factors concepts to describe computer virus transmission on OSN and analyses transmission disciplines in regular and random networks.
SVM CLASSIFICATION OF HYPERSPECTRAL IMAGES BASED ON WAVELET KERNEL NON-NEGATIVE MATRIX FACTORIZATION
Lin Bai, Meng Hui
School of Electronics and Control Engineering, Chang'An University, 710064, Xi’An, P.R.China
This paper presents a new kernel framework for hyperspectral images classification. In this paper, a new feature extraction algorithm based on wavelet kernel non-negative matrix factorization (WKNMF) for hyperspectral remote sensing images is proposed. By using the feature of multi-resolution analysis, the new method can improve the nonlinear mapping capability of kernel non-negative matrix factorization. The new classification method of hyperspectral image data combined with the novel kernel non-negative matrix factorization and support vector machine (SVM). The simulations results show that, the method of WKNMF reflect the nonlinear characteristics of the hyperspectral image. Experimental results on Airborne Visible Infrared Imaging Spectrometer 220 bands data in Indian pine test site and HYDICE 210 bands hyperspectral imaging in Washington DC Mall are both show that the proposed method achieved more strong analysis capability than comparative algorithms. Compared with the PCA, non-negative matrix factorization and kernel PCA method, classification accuracy of WKNMF with SVM can be improved over 5%-10%.
Operation Research and Decision Making
Wenlong Wang1, 2, Xinmei Liu1, 2, Xiaojie Zhang1, 2
1School of Management, Xi’an Jiaotong University, 28 Xiannin Road, Xi’an Shaanxi, China
2The key lab of the Ministry of Education for Process Control & Efficiency Engineering, 28 Xiannin Road, Xian Shaanxi, China
Service quality guarantee is an important tool for firms to boost demands, put up prices, and enhance profits. However, when promised quality defect is too high or low, the impact on the organization and the customer is usually negative. Therefore, determining the level of promised quality defect is of critical strategic and tactical importance in businesses. Yet, systematic quantitative methods aren’t found to help managers determine promised quality defect. We propose a simple but powerful model in finding the optimal promised service quality defect. The model makes trade-offs between benefits and costs of service defect guarantees. Firstly, the decision of promised quality defect is analysed when service price is exogenous. We secondly investigated when service price is endogenous, how can a service provider make decisions on service price and promised quality defect simultaneously to maximize its profit. Thirdly, comprehensive analysis of how service providers promise the optimal quality defect from two aspects of demand and supply is given. Numerical analysis is conducted to illustrate the interactive effect of endogenous service price and affected service supply. In the end, we conclude the paper and suggest areas for future research. With only definitional changes, the model can be applied to other guarantee contexts.
Yu Yue1, Hu Yong-shi2, Xu Ming-xing1, 3
1School of Economics & Management, Fuzhou University, Fuzhou City, Fujian Province, China, 350108
2Department of Traffic and Transportation, Fujian University of Technology, Fuzhou City, Fujian Province, China, 350108
3Concord University College of Fujian Normal University, Fuzhou City, Fujian Province, China, 350117
To reveal whether the order of supply chains’ competition exerts an effect on the their profits and whether the repeated game interferences this effect, the paper builds a Stackelberg game model constructed by two supply chains with each containing a supplier and a retailer based on the previous studies. Through comparing respective profits of the leading and following supply chain represented by ‘Copycat’, this paper concludes that the following supply chain is more likely to gain more profits than the leading one in this case, and this advantage is determined by the order of decision-making itself. Under repeated games, the possibility of the following supply chain to be more profitable and the approaches to make decisions will be related to the substitutable coefficient.
Yan Li1, Dong Wei2, Yangyang Chen1
1Faculty The College of Civil Engineering, Chongqing University, 400030, Chongqing, China
2The College of Architectural Engineering Vocational, Chongqing, 400038, Chongqing, China
In this paper, the development and evolution of bridge in Chongqing and around the world are summarized particularly. Besides, the categories of bridges, the development of bridge design theories as well as the breakthroughs of bridge construction with the passage of time are also introduced systemically. With the introduction of the historical stone-arch bridges, the recent reinforced concrete slab bridges, modern pre-stressed concrete bridge, various arch bridges, suspension bridges and cable-stayed bridges, the prosperity and progress made by human beings in the process of transformation of nature are gradually revealed in this paper, the development and evolution of bridge is also revealed with the introduction of new techniques. The construction of bridge promotes the economic development and strengthens the connection of different areas, brings a booming market. The role of mechanics in bridge design is analysed and the development of Chongqing bridges can also be experienced in this paper. Bridge is not only a construction but also the creator of the soul of a city, showing the fighting spirit and braveness of a generation.
A COMPARATIVE STUDY ON EFFICIENCY OF TWO DIFFERENT CIRCULATION MODES OF AGRICULTURAL PRODUCTS BASED ON DEA MODEL: WHOLESALE MARKET AND LOGISTICS DISTRIBUTION CENTRE
Yaoting Chen1, Xiaowei Lin2
1School of history and social development of Minnan Normal University, No.36, Xian Qian Road Zhangzhou in Fujian province, China
2School of Management of Minnan Normal University No.36, Xian Qian Road Zhangzhou in Fujian province, China
The purpose of this study is to find out the relatively efficient circulation mode of agricultural products through a comparative analysis on the operating efficiency of two different circulation modes of agricultural products: wholesale market and logistics distribution centre. Based on the input and output data collected from the survey of the main representatives of enterprises in the two modes in Zhangzhou, Fujian, including: fixed assets, number of employees, main business cost, main business net profit, gross margin, the paper uses Data Envelopment Analysis to conduct the analysis. The results show that the third party logistics mode based on logistics distribution centre is relatively more efficient, comparing with the traditional wholesale market mode. Therefore, in order to reduce circulation cost of agricultural products, and to promote the development of agricultural industry, it is necessary to make policies to encourage the development of the third party logistics mode based on logistics distribution centre.
A STUDY ON MECHANISM OF ENVIRONMENTAL PROTECTION INDUSTRY INNOVATION UNDER OPEN INNOVATION - THE INTERMEDIARY EFFECT BASED ON THE ENTERPRISE NETWORK DYNAMIC CAPABILITY
Qing-huang Huang, Ming Gao
College of Economics and Management, Fuzhou University, Fuzhou City, Fujian Province, China, 350108
In the dynamically changing external environment, it is the core issue of enterprise innovation strategy that how enterprises maintain a sustained level of innovation by creating their own capabilities. In addition, the open innovation proposed by Chesbrough provides a new way of thought for innovation management. This essay constructs conceptual models of several sets of variables relationships between environmental protection industry innovation performance and external innovation resources, which is based on 85 environmental protection enterprises as the questionnaire objects and a path analysis of the model is conducted. The results show that the cooperation with horizontal and vertical enterprises can significantly affect innovation performance only by virtue of the intermediary effect of the enterprise network dynamic capability, and government-industry-academy-research cooperation can directly improve innovation performance. Mechanistic study not only reveals that the joint action by external innovation resources and network dynamic capabilities can influence the innovation and motivation of environmental protection enterprises, but also reflects that a major source of environmental protection innovation is the internal resources. This provides theoretical guidance for enterprises to effectively implement the open innovation strategy in the innovation practice.
AN ANALYSIS ON THE GROWTH AND EFFECT FACTORS OF TFP UNDER THE ENERGY AND ENVIRONMENT REGULATION: DATA FROM CHINA
The School of Economics and Management, Chongqing Three Gorges University, Wanzhou, Chongqing, China, 404120
The paper analyses the growth and effect factors of TFP (Total factor productivity) under the energy and environment regulation with the data of China from 2002 to 2012. The results show that: in the past 10 years, without considering the energy and environmental regulation, the average annual growth rate of TFP is 3.2%, but it is 2.7% when considering them. The technological progress is the major contributor to TFP under the energy and environment regulation. From the comparison of various provinces, the growth difference of TFP was great. The TFP value in eastern coastal region is higher than that in the central and western regions. From the time trend, the average growth rate of TFP is in the lower. After the financial crisis of 2008, the TFP starts to decline and the average annual growth rate is -0.3%. The three variables of the FDI，environmental regulation intensity and industrial structure have a negative impact on TFP growth, but the two variables of R&D investment and energy consumption structure have a positive impact on it.
ANALYSIS OF THE PUBLIC SATISFACTION INDEX OF PUBLIC CULTURAL SERVICES BASED ON THE GREY CORRELATION AHP METHOD
Liping Fu1, Juan Li1, 2
1Public Resource Management Research Center, College of Management and Economics Tianjin University, Tianjin, China
2Hebei United University, 46 Xinhua Road, Tangshan, Hebei, China
The public is the service object of the public cultural services while the public satisfaction index is the main indicator in the judgment of the public cultural service effect. The Grey Correlation Method is applied to selecting the main factors which influence the public satisfaction index of public cultural services, and the number of public library, the public cultural activities of organizations, and the number of staff in the public cultural service institutions is the most three important factors. After that, the paper builds public satisfaction model based on grey correlation AHP, applies the method to evaluating the current public satisfaction of public cultural services in China, and proposes the specific measures to improve and promote public cultural services in China on the basis of the evaluation result.
ASYMMETRIC EFFECTS OF EXCHANGE RATE PASS-THROUGH: AN EMPIRICAL ANALYSIS AMONG CHINA, THE UNITED STATES AND JAPAN
Yezheng Liu, Jun Liu
School of Management, Hefei University of Technology, No.193, Tun Xi Road Hefei, Anhui, China
From the perspective of exchange rate direction fluctuations, this paper comparatively studied the asymmetric effect of movements in the nominal exchange rate on consumer prices among China, the United States, and Japan. To this end, the paper used the error correction model (ECM) to conduct an empirical analysis from the first season of 1994 to the last season of 2010 period. The results showed that: (1) the pass-through of exchange rate movements to consumer prices was incomplete; (2) exchange rates fluctuated in different directions, meaning that when the exchange rate appreciated and depreciated, the pass-through of exchange rate movements to consumer prices was asymmetric. However, the direction varied among the three countries. The influence of depreciation on consumer prices was higher in both China and the United States, while Japan was the opposite; (3) exchange rate pass-through was different in the three countries. The level of exchange rate pass-through in China was higher than the other two countries; (4) when short-term fluctuations deviated from long-term equilibrium, the adjustment was higher in the United States, followed by Japan, and China was relatively lower. These results had important implications for current monetary policies and practices.
DEFORMATION FORECASTING WITH A NOVEL HIGH PRECISION GREY FORECASTING MODEL BASED ON GENETIC ALGORITHM
Ning Gao, Cai-Yun Gao
School of Geomatics and City Spatial Information, Henan University of Urban Construction, Pingdingshan City, Henan Province, China, 467036
The precision of prediction of grey forecasting model depends on the conformation of background vale and the selection of the initial condition. Existent literatures optimized grey forecasting model just from one side, respectively. Therefore, a novel model named BIGGM (1,1) is proposed in this paper by integrated optimizing background value and initial condition. In addition, genetic algorithm has also been integrated into the new model to solve the optimal parameter estimation problem. An illustrative example of deformation of Lianzi cliff dangerous rock along the Yangtze River in china is adopted for demonstration. Results show that the BIGGM (1,1) model can increase the prediction accuracy, and it is suitable for use in modelling and forecasting of deformation.
EFFECT JUDGMENT AND EFFECTIVENESS ESTIMATION OF ANTI-DUMPING DUTY – AN EXAMPLE OF THE CASE OF CANNED MUSHROOM
Hua Zhang, Shunchang Liu
College of Economis and Management, China Jiliang University, Hangzhou, China
The paper aimed to provide a method for accurate estimation of the Anti-Dumping (AD) tax. Having used the case of canned mushrooms, exported from Indonesia to the United States as an example, the paper presented methods for effective judgment and accurate estimation of the AD. By having done so, it provided AD policy makers with a scientific and fair AD tax which, at the same time, would incorporate legislation that will prevent abuse of AD taxation system. The paper further analysed the impact of AD tax on the trend of export; the spread of related indicators between a taxable situation and a non-taxable one through the Chow test and other methods. Final results provided AD users with logical basis and method support.
Zongyi Xing1, Lingli Mao2, Limin Jia3, Yong Qin3
1School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China
2School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
3State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China
Identification of key subsystems for urban rail vehicles is important for the selection of maintenance strategy. The fuzzy comprehensive evaluation technique is applied to determine the key subsystems of urban rail vehicles. Firstly, the vehicle is divided into nine subsystems according to the module partition method. Then, the degrees of occurrence, severity, detection and maintenance cost are chosen as the evaluation factors that are quantified based on fuzzy theory and collected historical data. Finally, the calculation model of critical degree is established based on the fuzzy comprehensive evaluation method. The proposed approaches are applied to Guangzhou Metro Corporation, and five key subsystems are selected. The experiment results, which are consistent with those of most knowledgeable engineers and experts, indicate the validity of the proposed method.
School of Economics Henan University of Science and Technology, Luoyang City, Henan Province, China, 471000
Rural bank reputation risk is the negative evaluation formed in stakeholders’ minds as a result of events which pose both internal and external risks. Regardless of whether or not these risk events have actually occurred, any resulting negative evaluations tend to propagate and accumulate in both the public’s mind and within the main financial system. The growing negative opinion can create a herd effect, ultimately creating a reputation crisis. This paper attempts to research the contagion mechanism of rural bank reputation risk based on epidemic model, then explores a simulation study under different situations. The results show that the key to prevent or regulate reputation risk contagion is to reduce the unit available contact rate and the re-entry ratio, as well as the lurker infected rate. Finally, this paper puts forward management and control strategies from the perspective of the entire process. These strategies specifically focus on constructing an early warning mechanism, a dissolving mechanism and a long-term mechanism.
Fei Meng1, Jianliang Wei2
1Department of Public Foundation Zhejiang Police College, Hangzhou, Zhejiang, China, 310053
2School of computer and information engineering / contemporary business and trade research center Zhejiang Gongshang University, Hangzhou, Zhejiang, China, 310018
With the development of internet and e-commerce, online opinion leader becomes an important information resource which influences the purchase decision and behaviour model of online consumer, although the influential mechanism is still uncertain. In order to obtain a more precise user model, Grounded Theory is adopted in this paper and an interview table is designed according features of online opinion leader. Then, more than 20 online consumers concerning on opinion leader frequently in internet communities such as Taojianghu and Douban are selected for interview. After open coding, axial coding and selective coding on the interview materials, several findings are obtained: professional knowledge and interactive features of opinion leader influenced the purchase intension of consumer; characters such as visual cues and timeliness of recommended information from opinion leader have impact on consumer intension; consumer perceived value of product recommended by opinion leader influenced their purchase behaviour; and trust is the principle reason for consumer’ acceptance on product information recommended by opinion leader.
Ming-xing Xu1, 2, Yue Yu1, Yong-shi Hu3
1School of Economics &Management Fuzhou University, Fuzhou City, Fujian Province, China
2Concord University College of Fujian Normal University, Fuzhou City, Fujian Province, China
3Department of Traffic and Transportation, Fujian University of Technology, Fuzhou City, Fujian Province, China
This paper incorporates the concept of fairness in a dual-channel supply chain to examine the effect of fairness concerns on the supply chain partners’ service and revenue-sharing strategies in three different scenarios: only the retailer is concerned about fairness, only the manufacturer is concerned about fairness, and both parties are concerned about fairness. Though applying the equilibrium analysis, the results show that (1) Fairness concerns strongly influence the manufacturer’s and the retailer’s decision-making and utility. (2) The revenue sharing ratio increases with the strengthening of channel members’ fairness concerns. (3) If only the retailer is concerned about fairness, the retailer’s service is unaffected by his fairness concerns. (4) There exists a Pareto improvement for channel members’ utility when the manufacturer without fairness concern becomes fair-minded.
TIME-VARYING DECISION-MAKING FOR HAZARDOUS CHEMICAL TRANSPORTATION IN A COMPLEX TRANSPORTATION NETWORK
Yibo Du1, 2, Jin Zhang1, 2
1School of Transportation and Logistics, Southwest Jiao Tong University, Chengdu, Sichuan, China, 610031
2National United Engineering Laboratory of Integrated and Intelligent Transportation, Chengdu, Sichuan, China, 610031
The transit and storage of hazardous chemicals are harmful. A distributed decision model for hazardous chemicals is developed in this study, with the time window established, to improve the efficiency of transportation and storage. The route, mode, time, and volume of each demand can be determined by this model. The model minimizes the total transportation risk and cost. The model is divided into two parts, and the corresponding ant colony algorithm is designed and achieved. The feasibility and efficiency of the model are illustrated through a numerical example with eight transfer nodes, six origin–destination (OD) demands, and multiple transportation mode alternatives. The developed model provides an effective approach for hazardous chemical substance transportation.
RESEARCH AND IMPLEMENTATION ON INTEGRATION INFORMATION PLATFORM IN CHINA TOBACCO INDUSTRY ENTERPRISE
Hailong Lu, Yong Cen
China Tobacco Zhejiang Industrial Co., Ltd. Hangzhou, PR. China
For better information technology combined with enterprise management mechanism to solve the information technology into the enterprise production and operation of each link, the integration of information platform for building modern tobacco industry enterprise is proposed. First of all, this study combines the principal business process for building market-driven enterprise, and proposes based on self-assembled dynamic fifth-order business model for enterprise business operation model. According to the actual situation of enterprise information system construction, the integration information platform application architecture and integration architecture designs is developed. This information platform uses SAP XI as the ESB transforms the formats of all data coming from source systems to realize the seamless integration among different systems. With this integration information platform construction it can better support enterprise development strategies, optimizing resource allocation, improve business and management efficiency, and promote scientific enterprise sustainable development.
A FUZZY CLUSTERING APPROACH OF THE CUSTOMERS’ DEMANDS, WHICH INFLUENCES THE E-BANKING SERVICE QUALITY
Xilong Liu, Yizeng Chen
School of Management, Shanghai University, Shanghai, 200444, China
The interest rate liberalization have a huge influence for commercial banking management in China, the net interest margin (NIM) is more and more low, but the competition is becoming increasingly fierce, so it is a very necessary and urgent work to strength the management of banks by the key financial innovation. Some researches showed that the e-banking service quality plays an important role during competition among banks as well as the core competence of banks’ sustainable development. In order to improve the service quality, the first task is to really master and understand the customer demands, which influence the e-banking service quality. The paper proposed a fuzzy clustering method for customer demands and empirical analysis, and the results showed that all the customer demands can be classified into two clusters according to the maximum value of F-statistics, one of which indicated that the new trend of customer demands in e-commerce environment and have great influence on the decisions of users to use the service of e-banking.
Yun-jun Yu, Sui Peng, Yun-tao Xue, Chao Tong, Zi-heng Xu
College of Information Engineering, Nanchang University 330031, China
An autonomous decision making algorithm applied for the evaluation of the field power quality is proposed. This algorithm can reflect to the characteristics of evaluation objects, develop evaluation objects initiatives, weakens the influence of the subjective weight of index on evaluation results and implements the comparison of different power qualities of the assessed in the area. The paper introduces the implementation steps of autonomous decision making algorithm, analyses the competition scope of the power quality of the assessed with this algorithm. The competition model is established, which output the comprehensive evaluation results of the assessed. The simulation demonstrates the effectiveness and practicability of this method.
Shanshan Shang1, Jianxin You2
1College of International Business, Shanghai International Studies University, No. 550, Dalian Road, Shanghai, China
2School of Economics and Management, Tongji University, No. 1239, Siping Road, Shanghai, China; School of Management, Shanghai University, No. 99, Shangda Road, Shanghai, China
Collaborative network has been a hot topic in the related research field. This paper proposes a simulation model on the formation of knowledge-based collaborative networks mainly based on the Set theory. The paper proposes that formation process as follows: (1) find the key skills and the core members; (2) classify the organizations; (3) establish the relationship between organizations in different classifications.
Rende Yu1, Juan Shen2
1School of Transportation and Vehicle Engineering, Shandong University of Technology, Zhangzhou Road 12, Zibo, Shandong, China
2Linyi Science and technology cooperation and Application Research Institute, Jinqueshang Road 46, Linyi, Shandong, China
After analysing the characteristics on spatial distribution of road traffic accidents in some areas in China, this paper took road traffic accidents of some provinces/cities in China as an example and thought those provinces/cities as cells. Then the fractal spectrum of road traffic accidents spatial distribution in two-dimensional space and curve was obtained by MATLAB programming based on multi-fractal theory. Because of the preferable linear relation between and , the conclusion of which road traffic accidents spatial distribution satisfies power-law form and accord with multi-fractal distribution was obtained. By calculating the relation of related parameters, this paper analysed the characteristics of road traffic accidents spatial distribution further.
School of Economy and Management, Anhui University of Science and Technology, Anhui Province, China
In the game of the interest bodies of low-carbon ecological urban construction, the central government, as a principal, will lose some interests in some ways because of information disadvantages, whereas the local governments, as agents, will make use of their information advantages to make profitable action choices for more interests. As a result, moral risks will appear for the latter. This paper attempts to construct a mathematical model of the game theory for the principal-agent problems in the low-carbon ecological urban construction and analyses the choice actions involved. The conclusion is drawn that for the optimal balance of the game to be realized between the central and local governments, a relevant system must be established. This system is expected to change the information asymmetry by increasing the central government’s ability to acquire information while stimulating or restraining the local governments’ choice actions so that the external pressure on the local governments will be turned into their internal actions in a low-carbon ecological urban construction.
Zhao-Xing Li1, 2, Li-le He1
1School of Mechanical and Electrical Engineering, Xi’an University of Architecture and Technology, Xi’an 710055, China
2School of Information Engineering, Yulin University, Yulin 719000, China
In order to follow the development of Internet information service and improve the accuracy of recommender systems and recommendation algorithm. An optimal selection approach of multi-objective and particle swarm optimization (MOP-PSO) was put forward based on PSO algorithm. Furthermore, through two sets are combined and repeated dynamic adjustments, to achieve a better balance in algorithm efficiency and accuracy. Proposed a weighted cosine similarity method to calculate the user similarity, and then optimizing the weight by the PSO algorithm. Simulation results show that the algorithm has a better effective and can effectively improve the scoring accuracy, effectively improve the quality of the recommendation system.
Hoan Manh Dau, Ning Xu
School of Computer Science, Wuhan University of Technology, China
Traditional sentiment classification approaches perform well in sentiment classification but traditional sentiment classification approaches does not perform well with learning across different domains. Therefore, it is necessary to build a system which integrates the sentiment orientations of the documents for every domain. However, this needs much labelled data involving and much human labour as well as time consuming. Thus, the best solution is using labelled data in one existed in source domain for sentiment classification in target domain. In this paper, a two-stage approach for cross-domain sentiment classification is presented. The First Stage is building a bridge between the source domain and the target. The Second Stage is following the structure. The study shows that the mining of intrinsic structure of the target domain brings a considerable effectiveness during the process of sentiment transfer. This is a typical mining approach comparing to previous approaches basing on information from the source domain to address the task of sentiment transfer, which does not depend on intrinsic structure of the target domain. Experimental results on sentiment classification with a two-stage approach indicate that the effectiveness outperforms other traditional methods.
Ying Lu, Junping Xie
School of Automotive and Traffic Engineering, Jiangsu University, Xuefu Str. 301, 212013 Zhenjiang, China
Through observations from the construction of Chinese national emergency material reserve system, we introduce the multi-objective hub location problem. We provide a mathematical model for finding the optimal hub locations to minimize the total transportation cost and maximize the coverage of the hubs simultaneously in the whole network. Then, a procedure for solving this model is proposed. By using a numerical example, we discuss the efficiency of the tabu-search-based algorithm compared to the complete enumeration method and the impact of cost discount factor on the performance of hub-and-spoke network. The results show that the heuristic algorithm based on tabu search may be better than the complete enumeration research method for big size multi-objective hub location problem and as the cost discount factor is increased, the cost savings in the hub-and-spoke network compared to the direct connect network would decrease while the covering rate remains the same unless the cost discount factor is close to 1. Finally, we set future research directions on the multi-objective hub location problem.
ANALYSIS OF NECESSARY INVESTMENTS IN THE PRODUCTION AND WARRANTY SERVICE OF INNOVATIVE PRODUCTS CONSIDERING THE NECESSITY OF THEIR BACKUP
Ilana Ter-Saakova1, Nataly Podolyakina2
1Baltic International Academy, Lomonosova 1, Riga, LV-1019, Latvia
2Transport and Telecommunication Institute, Riga, Latvia, Lomonosova 1, Riga, LV-1019, Latvia
Redundancy is one of the commonly used methods to improve the reliability of industrial products and is used in various designs. Another way to increase the reliability is to use more reliable components during the production. This work provides a feasibility study of the redundancy during the manufacturing as well as a comparative analysis of the conditions under which one or another methods are chosen to improve the reliability of a product as a function of its value.
Xing Yu, Guohua Chen
Department of Mathematics & Applied Mathematics Hunan university of humanities, science and technology, Loudi, 417000, P.R. China
This paper develops the continuous-time portfolio model using a multivariate normal inverse Gaussian model. Though the weighted average of lognormal variables is no longer lognormal, it can be approximated by other distributions, such as a multivariate normal inverse Gaussian model. Our method belongs to the analytic approximation class. By comparing to Monte Carlo experiments, it illustrates the computational efficiency and accuracy of our approach.
Zhongzhou University, 450044, Henan, China
At present, there are kinds of problems on circulation pattern of agricultural products’ supply chain, leading to high cost of agricultural logistics system and unreasonable planning. In order to solve the problem of agricultural product circulation pattern, we need to put forward a circulation pattern of agricultural products’ supply chain, which takes the agricultural product logistics as a core enterprise. This thesis introduces the idea of combination between computer information technology and logistics management system. It also analyses how to better complete the modules of logistics management system and key points of them, based on the technology of computer, automation, bar code, etc., which focus on analysing the module of farm, customer relations and decision.
Nature Phenomena and Innovative Engineering
Junmei Zhao, Zhijie Zhang, Yifeng Ren
School of Computer and Control Engineering, North University of China, 3Xue Yuan Road, Taiyuan, China
This study presents the application of a Matrix Converter (MC) and an active disturbance rejection controller (ADRC) to Direct Torque Control (DTC) system based on an induction motor. Matrix Converter (MC) is applied to Direct Torque Control (DTC) system based on an induction motor in order to reduce power grid harmonic pollution which is caused by AC-DC-AC converter in conventional DTC system. Then a PID controller and an ADR controller are both designed to regulate the speed of the system. Design procedures for ADRC are given in detail. Finally, corresponding results are compared. The simulation results show that the novel DTC system has combined the advantages of both MC and DTC--stable running, strong anti-jamming, good dynamic and static performance.
Xiaohui Liu1, 2, Feng Dai1, Jianfeng Liu1
1College of Water Resources and Hydropower, Sichuan University, Chengdu, Sichuan, China, 610065
2College of Energy and Environment, Xihua University, Chengdu, Sichuan, China, 610039
The Fu Rong mining area was selected to analyse the micro view characteristics of the coal, the ultrasonic acoustic characteristics and the uniaxial compression feature from different directions (the parallel direction and the vertical direction). The results show that: (1) Coal rock has large discreteness with strong anisotropic properties. (2) The impulse wave velocities have obvious anisotropic characteristics. The parallel and vertical wave velocities are different. The parallel bedding velocity is greater than the vertical of coal rock no matter the longitudinal wave or transverse wave of coal rock. (3) The uniaxial compressive strength of parallel bedding coal rock is less than the vertical bedding of coal rock. The uniaxial compressive strength is normally distributed vertical wave velocity, obeying exponential functions or power functions. (4) Failure pattern of the coal rock in the parallel bedding direction is splitting, while the vertical bedding direction of coal rock is shearing. The uniaxial compression strength and deformation parameters in two directions are obviously different. In other words, the anisotropic is apparent.
RESEARCH ON THE LASER TRANSMISSION SIMULATION BASED ON RANDOM PHASE SCREEN IN ATMOSPHERIC TURBULENT CHANNEL
Yanli Feng1, 2, Dashe Li2, 3, Shue Liu4
1Department of Computer Foundation Studies, Shandong Institute of Business & Technology, China
2Key Laboratory of Intelligent Information Processing in Universities of Shandong (Shandong Institute of Business and Technology), China
3School of Computer Science and Technology,, Shandong Institute of Business & Technology, China
4School of Computer Science and Technology, Binzhou Medical University, China
On the basis of collimated Gaussian beams, the paper focused on the modelling and simulating of the transmission of laser beams using two-dimension random phase screens in the atmospheric turbulence channel. Firstly, with the analysis of the transmission model of Gaussian beams through the phase screens, the simulation theory of random phase screens and the depth range model of the phase screens were proposed. Then, In accordance with Kolmogorov atmospheric turbulence theories, a two-dimension random phase screen was built using Fourier transform. Numerical simulation experiments were conducted with low frequency compensation to simulate the propagation of Gaussian collimated beam in Kolmogorov turbulence. Finally, the two-dimension random phase screen was testified by the phase structure function. The results showed that the approach of simulating the random phase screen using Fourier transform was appropriate after compensating the low frequency.
Zhao Han, Yuan Rao, Wentao Chen, Junkai Huang
School of Information Science and Technology, Jinan University, Guangzhou, Guangdong Province, 510632, China
This paper proposes a structure of peak current mode Boost DC-DC converter with slope compensation circuit, and designs a dynamic slope compensation circuit applied to this converter. With the utilization of the voltage controlled resistance characteristics of MOS transistor and the introduction of a clamp circuit consist of cascade current mirror, a dynamic slope compensation circuit is realized. The circuit is simulated on Cadence Spectre using SMIC 0.18μm CMOS technology. Results show that it can provide proper slope compensation following the variation of input and output. The load capacity of DC-DC converter reaches 550mA and the transient response lows to 10 μs. By eliminating the problem of instability caused by the peak current mode switching power supply of double loop control, the design improves the stability of switching power supply.
THE TIME-FREQUENCY ANALYSIS OF THE TRAIN AXLE BOX ACCELERATION SIGNALS USING EMPIRICAL MODE DECOMPOSITION
Xingjie Chen, Xiaodong Chai, Xining Cao
College of Urban Railway Transportation, Shanghai University of Engineering Science, Shanghai, China, 201620
Rail defects usually result in lots of problems such as affecting the comfort of passengers, increasing the wheel-rail forces, exacerbating the train axle boxes vibration and track wear, even threatening the safe operation of trains. In this paper, the characteristic frequency distribution of the changing axle box acceleration caused by defects is analysed by empirical mode decomposition and Hilbert-Huang Transform is used to analyse the time-frequency changes of axle box acceleration. As a result, rail defects can be effectively positioned and the short wave irregularities within a certain degree can be detected. The research provides timely protection for the maintenance of the track.
Xianfeng Zheng1, 2, Zheng Fan2
1Faculty of Electrical Engineering Henan Mechanical and Electrical Engineering College, No.699 Ping Yuan Road, Xinxiang, Henan, China
2Faculty of Automatic Control Engineering Henan Mechanical and Electrical Engineering College, No. 699 Ping Yuan Road, Xinxiang, Henan, China
A general process model is established using the real-time requirements of data stream processing, and the data is constantly processed with a sliding window. This paper selects the recursion-based complex wavelet as the detecting algorithm for voltage sag, and tries to detect when the voltage sag occurs and ends with amplitude and phrase information contained in the wavelet analysis results. Meanwhile, this paper seeks to improve the precision of detection by looking for optimal wavelet scales with information entropy. The shifted wavelet tree-based data flow anomaly detection algorithm and data update method of shifted wavelet tree have been improved to make rapid detection possible. Finally, this paper reports the experimental simulation, which proved the instantaneity and accuracy of this method.
Chang Chen, Guojin Chen, Shaohui Su, Haiqiang Liu
School of Mechanical Engineering, Hangzhou Dianzi University, 310018, Hangzhou, China
For modelling and simulating of marine rudder system, there are lots of along with their model libraries, such as AMEsim could be used. But the models in these tools lack of flexibility and are not open to the end-user. And these tools could not model the whole marine rudder system consisted of mechanical, hydraulic and control sub-system in a unified form. In order to solve those problems, a flexible and extensible marine rudder system library was constructed, based on the Modelica, by the object-oriented strategy. It supports the reuse of knowledge on different granularities: physical phenomenon, component model and system model. A conventional model of marine rudder system was built and calculated using the library, and the results shows that the object-oriented modelling strategy is effective; the framework of the library is reasonable.
STUDY ON QUANTITATIVE DIAGNOSIS METHOD OF VALVE CLEARANCE BASED ON CYLINDER HEAD VIBRATION SIGNAL OF DIESEL ENGINE
Zhangming Peng1, 2, 3, Guojin Chen1, 2, Shaohui Su1, 2
1Hangzhou Dianzi University, Hangzhou, China
2Zhejiang Provincial Key Laboratory of Ship and Port Machinery Equipment Technology, Hangzhou, China
3Yangfan Group CO., LTD, Yangfan Ship Design & Research Institute, Zhoushan, China
The vibration signal of cylinder head contains abundant performance information of diesel engine, and it is inseparable from injection advance angle and valve timing in time domain, so it is easy to separate the response signal of each exciting force from vibration signal. In this paper, the vibration signals of the exhaust valve closing were cut out by extract time interval sampling, and the energy information of feature frequency range was extracted by HHT transform, the corresponding relationship between valve clearance and energy information was established after normalization, so that it is realized to quantitatively diagnose the valve clearance.
A WATER QUALITY CHANGING PREDICTION MODEL FOR AGRICULTURAL WATER-SAVING IRRIGATION BASED ON PSO-LSSVR
Jian-Gang Dong, Feng Zhang, Yong-Heng Zhang
School of Information Engineering, Yulin University, 719000, Yulin, China
In order to improve the prediction of early warning and agriculture information processing level of water quality for agricultural water-saving irrigation, using mathematics and information theory model to predict and estimate the possibility of future changes in water quality based on getting the quality data by using sensor device. The basic process, model for water quality prediction of agricultural water-saving irrigation, forecasting and early warning method of establishing process is designed. Finally, was using the PSO-LSSVR forecasting method to predict the water quality in the agricultural water-saving irrigation of water quality changes prediction. Simulation results show that the parameters of LSSVR were optimized by PSO algorithm, and overcome the cross validation to determine the influence of subjective factors of LSSVR parameters, has better prediction accuracy and generalization ability, its precision can satisfy the need for intensive irrigation production management.
Jian-Long Ding1, Weifang Chen1, Ji Gao2
1Zhejiang Shuren University, College of Information Science, Hangzhou, China
2Zhejiang University, The Artificial Intelligence Research Institute, Hangzhou, China
Because of the complexity, the dynamic and uncertainty of the distributed applications environment, the data-collaboration crisis caused by isolated information island is serious day by day. Through the establishment of Data Cooperation-based Virtual Organization (DCVO), is conducive to meet the realistic demand of the on-demand dynamic data collaboration, which led to the distributed application to carry out the intelligent data collaboration in effective control, as well as realize the intelligent data retrieval across application domain. Through research of the Distributed Application System-based Data Cooperation Architecture (DASDA) , to straighten out the related technology and method of distributed collaborative, from the semantic specification (including the application of domain ontology, relational databases and ontology mapping mechanism, cooperative data transmission standard), rational of data-collaboration (policy representation and configuration), collaborative service personalization, data structure and model of collaborative content level and so on, to provides an important reference to solve the eliminate problem such as semantic fuzzy, dynamic expansion, uncontrollable, cooperative security, recall and precision of conflict which caused in the process of the data-collaboration.
Yunxia Zhang1, Chenglong Dai2, Jifeng Cui2
1De Network and Information Center, Southeast University, Nanjing 210018, China
2College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
Because of high cost and small batch of spacecraft like flywheel and gyroscope, how to estimate their reliability and lifetime becomes a tough task. A method to predict the lifetime of hemispherical resonator gyroscope (HRG) is put forward in this paper. This method utilizes grey correlation and mean absolute percent error (MAPE) to estimate the reliability of predictive data sequence. For reducing noise, Daubechies wavelet is used to decompose and reconstruct the test data in the paper as well. After pre-processing, predictive data sequences are gained by using GM(1,1) prediction model and then according to grey correlation and MAPE of each predictive data sequence, the threshold value meets conditions can be gained. Finally, the lifetime of HRG is predicted with using the threshold value. In this paper, the method is applied to the data of one type of HRG provided by a research institute in China and the result shows the gyroscope can normally run 4780 days at least, namely about 13.10 years.
Capital Normal University, Beijing 100048, China
License plate detection plays a key role in traffic surveillance, speeding vehicles ticketing and vehicle detecting, and so on. However, most of the previous approaches to detect license plate experience difficulties in handling license plate with the uneven illuminations changes, complex background or tilted alignments. In this paper, we propose a method of license plate detection. License plate regions contain plate characters, frames and screws. First we propose to build the Colour Gradient Map (CGM) based on the colour gradient method. Then we perform the Niblack’s method on the Colour Gradient Map (CGM) to retrieve the candidate license plate regions. Finally, we use the template matching to remove most of background noises. Experimental results show that this approach is robust and can be effectively applied to license plate detection.
PREDICTION MODEL OF RECAST LAYER THICKNESS IN DIE-SINKING EDM PROCESS ON TI-6AL-4V MACHINING THROUGH RESPONSE SURFACE METHODOLOGY COUPLED WITH LEAST SQUARES SUPPORT VECTOR MACHINE
Jun Li, Xiaoyu Liu, Shiping Zhao
School of Manufacturing science and Engineering, Sichuan University, Chengdu 610065, P. R. China
Ti-6Al-4V is widely applied in frontier for its excellent properties such as a high strength-weight ratio, great heat stability and exceptional corrosion resistance. Electrical discharge machining (EDM) is suitable for machining titanium alloys, because it is the technical that removal materials by discharge energy and non-contact in processing progress. The recast layer is formed by the solidification of molten metal on the machined surface during the EDM process. In the present investigation, a hybrid approach using Least squares support vector machines (LS-SVM) and response surface methodology (RSM) for predication the recast layer thickness is proposed. Experimental plan is performed by response surface method with 20 experimental runs. The different machining parameters of pulse current, pulse on-time, and pulse off-time are selected as input factors. The white layer thickness (WLT) is response variable. The LSSVM method is applied to construct the predication model based on the orthogonal experiment swatches. The randomly 15 experimental runs were utilized to train the LS-SVM model to predict the WLT. Finally, support vector machine is used to compare with the proposed method. The proposed model can be good performance in prediction of white layer thickness of the complex EDM process.
Hao Wu, Dewen Seng, Xujian Fang
School of Software Engineering, Hangzhou Dianzi University, 310018, Hangzhou, China
With the rapid development of computer technology, computer-assisted instruction for complex and vulnerable optical experiments has become possible. Computer simulation technique has become an important branch in computer application and a new means in science research and engineering design. People have done a lot of research on optical experiment simulation. But there are still many defects, such as no friendly graphical user interface and the parameters cannot be freely adjusted. We design and develop a well extensible and portable simulation platform for optical experiments including basic optics experiments, information optics experiments and laser experiments and realize flexibility in setting the experimental parameters. Young’s double-slit interference experiment, Fraunhofer diffraction experiment and grating diffraction experiment are conducted to show the effectiveness, efficiency and correctness of our simulation platform. The abstract and difficult optical concepts and rules are vividly manifested through the simulation experiments and become easier to understand for the students. The simulation platform will break through the limitation of teaching space, experimental equipment and various other factors and enable students to preview experiment, understand experiment, complete experiment and review experiment much better.