Mathematical and Computer Modelling
Dan Li, Ting Yang, Guangsheng Chen
College of Information and Computer Science Engineering, Northeast Forestry University, Harbin, China
Currently, in the use of TRIZ contradiction matrix table, users need to manually find optimization parameters and deterioration parameters of the invention for the corresponding inventive principles. When many parameters are queried, the user is hard to get the statistics, which are most likely to correspond to the invention and have to rely on tedious accumulative calculation to predict the most likely corresponding inventive principle. In this paper, we aimed to apply the analytic hierarchy process (AHP) to predict the inventive principle; on the basis of the successful cases data, we can take advantage of AHP for the statistics and projections of 40 invention principle through the optimization parameters and deterioration parameters chosen. In this way, we ranked 40 invention principles by the use of probability to give users inventive principles of efficient prediction results and provide the user with a practical guide at the same time.
Xiaowei Niu, Liwan Chen, Qiang Chen, Hui Xie, Hongbing Li
School of Electronic and information engineering, Chongqing Three Gorges University, Zip code, 404000, Wan Zhou, China
This paper presents an improved eigenstructure-based method for estimating the direction of arrival (DOA) of received signal in uniform circular-array, in the presence of sensor gain and phase uncertainties. A simple sensor gain and phase uncertainties calibration method, which does not require any prior knowledge of the DOAs, but also being capable of eliminating the DOA estimation ambiguity, is proposed. The performance of the proposed method is demonstrated by some representative computer simulation.
Weipeng Jing1, 2, Yaqiu Liu1, 2
1The College of Information and Computer Engineering, Northeast Forestry University, Harbin 150040, China
2Heilongjiang province engineering technology research centre for forestry ecological big data storage and high performance (cloud) computing, Harbin 150040, China
In this paper, in order to provide the reliable scientific workflow scheduling problem for cloud computing, a dynamic of RANK-Hierarchical algorithm is put forward which taking account of communication contention as well as supporting task dependencies (CCRH). A communication contention model is first defined, as soon as the earliest completion of the primary and backup task is deduced, besides the executive processor is limited, use dynamic hierarchical method and calculate of each DAG unfair degree factor for multiple DAGs scientific workflow. It can deal with the problem that multiple DAGs workflow comes at different time and have various kinds of structure. Both the theory and experiments have proved the algorithm not only improve the scheduling fairness of multiple DAGs workflow but also shorten the average execution Makespan effectively while meeting reliability constraints and meanwhile the produce well robustness.
Xiaonan Zhang1, 2, Xiaoyong Lu2
1College of Field Engineering, PLA University of Science and Technology, Nanjing 210007, China
2The 28th Research Institute of China Electronics Technology Group Corporation, Nanjing 210007, China
This paper considers a problem of multi-state system reliability modelling and assessment. By using the advantages of uncertainty reasoning and figurative expression of Bayesian network, a new method of modelling and assessment of multi-state system reliability based on BN is proposed to determine the nodes of BN and the multiple states of components of system, and to give the probability of each state and then utilizing conditional probability distributing (CPD)to describe the relationship among the component states, so as to express the states of correlated nodes and build a BN model of multi-state system. The model can clearly express the multiple states of system and component and the state probability, and also call directly calculate the system reliability on the basis of multiple state probabilities of component, thereby carrying out qualitative analysis and quantitative assessment of multi-state system reliability. By means of an example of multi-state radar system, we give the detailed multi-state system reliability analysis process based on BN. This paper not only proves the effectiveness of assessment of multi-state system reliability based on BN, but contributes to good help of complex system reliability, safety analysis.
X G Hong1, H Liu1, Y Xiao2
1School of Information Engineering, Nanchang University, Nanchang 330031, China
2Institute of Computing Technology, Nanchang 330031, China
H.264 video standard introduces fractional pixel motion compensation technology to obtain a more precise motion vector and a higher compression ratio. But, it increases the complexity of the motion compensation process at the same time. In order to solve the difficulties, we analysis the procedure of fractional-pel interpolation in H.264 and propose a fast fractional-pel interpolation algorithm based on CUDA. Experimental results show that the fast algorithm enables locating fractional pixel effectively and improves the speed of fractional pixel motion estimation. Compared with the CPU serial algorithm, the fast algorithm can significantly improve encoding rate almost four times in processing high-resolution video sequences.
Li-jun Deng, Jian Liu
College of Safety Science and Engineering, Liaoning Technical University, Liaoning Fuxin 123000, China
Ventilation network graph has an important place in the management of a coal mine. In that case, aesthetics plays a major role for generating readable and understandable layouts. Besides, the drawing is required to be oval. The traditional longest path method for drawing ventilation network graph is inefficient and cannot effectively reduce the number of arc crossings because of the geometric intersection method. In this paper, we developed a new approach to draw ventilation network graph, consist of Sugiyama method framework, the longest path method and GA-SA algorithm. The longest path method was employed to rank nodes, and long arcs were removed by solving integer programming problem to minimize the sum length of ventilation network. Then genetic algorithm and simulated annealing algorithm were adopted to optimize the node order on reducing the number of arc crossings. In order to make the drawing be oval, a modified version of the longest path method was made to calculate node coordinates and arc shapes, which is called the longest parallel path method. Finally, computational experiments were carried out on two test ventilation network with our new approach.
Zeyu Sun1, 2, Shouying Li3
1Department of Computer and Information Engineering, Luoyang Institute of Technology, Luoyang, Henan, 471023
2Electrical and information Engineering, Xi’an JiaoTong University Xi’an 710061, China
3Department of Mathematics and Physics, Luoyang Institute of Technology, Luoyang, Henan, 471023
In the paper, the existing wireless sensor network routing protocol classification and comparative studies, then A targeted selection of typical clustering routing protocol Low Energy Adaptive Clustering Hierarchy (LEACH) protocol for the study, points Insufficient analysis of LEACH, and on this basis to select the optimal number of cluster head LEACH protocol, Selected on the basis of cluster head node, communication between clusters, cluster head node in a distributed fashion to improve "change After the agreement into improving the selection criteria LEACH cluster head, so that the cluster head node distributed more evenly, avoiding Free a single node excessive energy consumption. Finally, the improved LEACH protocol is added by way of randomly selected based on the energy value of closed Residual nodes on MATLAB simulation platform, the simulation results show that adding the residual section Point effectively extending the network life time improves the efficiency of the network.
Computational simulation of the effects of vortex finder diameter on the air core in a hydrocyclone separator
Yuekan Zhang, Peikun Liu, Linjing Xiao, Xinghua Yang, Junru Yang
College of Mechanical & Electronic Engineering Shandong University of Science and Technology, 266590, Qingdao, China
Air core is inherent to the solid-liquid hydrocyclone, the air core dimension plays a significant role in the separation efficiency. However, the formation mechanism of the air core in hydrocyclone has not arrived at an agreement. To further understand the flow behaviour of air core in hydrocyclones, in this paper, the volume of fluid (VOF) multiphase model and the Reynolds Stress Model (RSM) were adopted in this study to simulate the flow fields inside a hydrocyclone. The effect of the varying vortex finder diameter on the formation and development of air core was analysed, and the generation and development of the air core were investigated. The results showed that air core could be generated in shorter time and more stable state with larger vortex finder diameter. In addition, the diameter of the air core increased with the vortex finder diameter.
Jianhou Gan1, Bin Wen2, Jinxu Li2
1Key Laboratory of Education Informalization for Nationalities, Ministry of Education Yunnan Kunming, China
2School of Information Science and Technology, Yunnan Normal University, Yunnan Kunming, China
In this paper, the Ontology mapping of tourism information resources is discussed. Ontology mapping tries to find the corresponding relationships between two entities, and to achieve interoperability and information sharing in heterogeneous Ontology. We researched the Ontology mapping of tourism information resources and introduced the Description Logics to solve the Ontology mapping. The key relationships and determining relationships among Ontologies in description logic based Ontology mapping is first described. Then a description logic based mapping model is proposed, which can solve the problem of Ontology semantic heterogeneity.
Jing Sheng, Hai-Fei Long
Faculty of Mechanical Engineering, Xiamen University of Technology Xiamen, Fujian, P. R. China
The finite element simulation of oblique cutting is a complex and professional process. It is necessary to build a system to construct a model in order to obtain simulation values more conveniently and rapidly. The key techniques of 3-D parametric modelling with MSC.Marc software metal oblique cutting simulation was presented in this investigate. The modelling rule based on the process was carried out. The system, designed using C++ Builder, can access data, which includes the geometrical angles and dimensions of tool, the sizes of workpiece, the relative position between tool and workpiece. Meanwhile their properties and cutting conditions, etc. were stored. The procedure file modelling in the MSC.Marc environment automatically is generated by the program. So the parametric modelling of simulation is completed by calling the procedure file. Further, an example was given and the simulation model was also verified. Therefore, the parametric modelling is a kind of effective way for metal cutting simulation.
Dongwen Zhang1, Xinguo An2
1School of information science & engineering, Hebei University of Science &Technology, Shijiazhuang, China
2School of Sciences, Hebei University of Science &Technology, Shijiazhuang, China
An H∞ fault-tolerant control scheme based on fault diagnosis observer was developed for a class of nonlinear singular systems with external disturbances and actuator faults. A fault diagnosis observer was designed to estimate the system states and the actuator faults and a sufficient condition for the existence of this observer was presented in the form of feasibility problem of a linear matrix inequality. Based on linear matrix inequality (LMI) technique and the estimates of the states and faults, an H∞ fault-tolerant control scheme was worked out. The H∞ fault-tolerant control system via a state feedback controller can be made solvable, impulse free, asymptotically stable, and the effect of external disturbances on the system was attenuated in terms of the prescribed H∞ performance index. Finally, a simulation example was given to illustrate the procedure of designing the fault diagnosis observer and the state feedback controller, and the simulation result showed the effectiveness of the proposed method.
School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing, 100876, China
In this paper, An M/M/c queuing system with multiple working vacations and vacation interruption is considered. All servers work at a lower rate rather than completely stop during a vacation period. Meanwhile, we introduce another vacation policy: vacation interruption. Otherwise using matrix-geometric solution method, we obtain steady-state distribution for queue length.
Juanjuan Suo, Huimin Dong
Hebei University of Engineering, Handan 056038, China
To overcome the shortcomings that there are few feasible methods and models in the comprehensive assessment on the quality of the computational translation, a novel mathematical tool, the unascertained measure was introduced. After the introduction of the basic knowledge of the Unascertained Sets, the unascertained measure was defined and the comprehensive assessment model was set up. Then the method was introduced to the quality assessment of the machine translation. Engineering practices shows that the method can complete the assessment systematically and scientifically without any assumption.
Zheng-Mao Zhou, Shun-Hong Zhong, Ming Cai
School of Computer Science of Technology, Zhejiang University, Hangzhou of Zhejiang, China
With the development of the information technology, single digital signal processor (DSP) cannot meet the requirements of massive data processing. Multi-DSP parallel processing mode has been commonly used in real-time information processing system. New technology is also making it much easier to integrate multiple DSPs into a single silicon chip. However, designers of a new multi-DSP system and software are confronted with problems such as short product life-time. Meanwhile, product verification is indispensable before launching into the market. In this paper, a multi-DSP simulation platform is developed to solve these problems. The designed multi-DSP platform is based on an ISS-SystemC structure and has three common interconnect interfaces. An AMBA bus-shared memory model is designed for the expansion of the simulation system. A thread-agent method is proposed to optimize the performance of SystemC thread and the experiment results show that the multi-DSP parallel processing mode can improve the processing performance of the system significantly.
Chenxia Suo1, Yong Yang2
1Beijing Institute of Petrochemical Technology, 102617, Beijing, China
2College of Statistics and Mathematics, Zhejiang Gongshang University, 310018, Hangzhou, China
In order to improve rural folk house renovation in the satisfaction evaluation accurately, this paper puts forward a model for rural folk house renovation in the satisfaction evaluation based on intelligent expert judgement matrix adjustment method(AGA-LCAHP).By means of extracting the offset degree resulting in the inconsistency of AHP judgment matrix, this paper puts forward the new method of using accelerating genetic algorithm to locate the element of judgment matrix and calculate the AHP element ranking weight. This algorithm takes offset information as the foundation of correcting judgment matrix to avoid the subjectivity of correction; at the same time, it reserves and extracts the consistency information of judgment matrix, with the consistency index as the orientation of optimization. The case study result shows that the AGA-LCAHP method features high computational accuracy and stable calculation result and also has the popularization and application value in other comprehensive assessment.
Information and Computer Technologies
Ying Wang, Zhongmin Wang, Sheping Zhai
School of Computer Science & Technology, Xi’an Univ. of Posts & Telecommunications, Xi’an, China
To implement colour calibration during outputting multispectral images on a multi-ink printer, a new spectral colour calibration method is proposed. Firstly, by uniform sampling in the multi-ink printer colour space, measuring the spectral reflectance of the samples and then transforming the reflectance data to a low dimension spectral space, a forward look-up table is created. Then by sampling in the low dimension spectral space and using a nonlinear optimization to calculate the mapping points of these samples in the printer colour space, a backward look-up table is established. Meanwhile, to improve the optimization accuracy and shorten the computing time, an algorithm is designed to determine the optimization parameters based the samples. Finally, a multi-linear interpolation method is carried out on the forward and backward look-up table to achieve the spectral colour calibration of the multi-ink printer. Experiments show that the new method not only takes advantage of the high calibration precision and less time-consuming of the look-up table, but also solves the problem brought by the high dimension of the spectral data to the look-up table method by utilizing the nonlinear optimization and dimension reduction. Compared with the spectral colour calibration model methods, the new method improves the colorimetric and spectral precision obviously. It also raises the time efficiency of the inverse calibration significantly.
Tong Qin1, Xinran Liu2
1Information Security Center, Beijing University of Posts and Telecommunications, 100876 Beijing, China
2National Computer Network Emergency Response Technical Team/Coordination Center of China (CNCERT/CC), 100029 Beijing, China
From the point of the safety in Cloud Computing and the virtual resource under the Cloud, here proposed a cognitive trust model of Cloud virtual resource, based on Bayesian, and the model supports the effective resource selection as a basis. Furthermore, on the basis of the description of process and question in virtual resource selection, here comes a Trust and Resource Scheduling oriented Cloud resource selection model which takes QoS, trust, resource scheduling and other indexes into account. After applying the improved CHC-TSSM Genetic Algorithm in the model, the simulation experiment confirms the feasibility and efficiency of the algorithm, which can resolve the trust and scheduling problem in resource selection effectively.
Binghua Cheng1, Fei Shao1, 2
1School of Information Technology, Jinling Institute of Technology, Nanjing 211169, China
2Jiangsu Information Analysis Engineering Laboratory, Nanjing 211169, China
It is of great importance to improve the transfer capacity of the weighted networks. In this paper, the traffic dynamics on weighted networks is investigated based on global information. It is shown by simulations that the weighted network transfer capacity depends strongly on the tuneable parameter in three different node delivery capability schemes: constant, proportional to node degree and proportional to node strength. Furthermore simulations on both computer-generated and real world networks show that different tuneable parameter is suitable for different node delivery capability scheme.
Baoquan Jin, Xiaohui Hao, Hongjuan Zhang, Yan Gao
Key Lab of Advanced Transducers and Intelligent Control System, Ministry of Education, Taiyuan University of Technology, Taiyuan, China
Coal mine power supply system is increasingly complex, resulting in difficulties for power computing and tuning. A software design program is proposed by using VBA development tools embedded in AutoCAD secondary development, adopt object-oriented program, ActiveX automation technology and visual programming techniques to achieve human-computer interface and database interaction, design one of the mine power supply design software with function mapping, statistical calculations, protection setting, design reports automatically output, data maintenance. The study shows that the software can greatly simplify the power supply design process, improve efficiency, and can effectively improve the coal mine management level.
Yan Gu1, Yiqiang Wang2, Xiuhua Yuan2, Xiaoqin Zhou1, Bangcheng Zhang3
1College of Mechanical Science and Engineering, Jilin University, Changchun, Jilin 130022, China
2Ningbo Institute of Technology, Zhejiang University, Ningbo, Zhejiang 315000, China
3School of Electro-mechanical Engineering, Changchun University of Technology, Changchun, Jilin
In order to guarantee the implementation of reliability target, software reliability allocation model of CNC system was established based on software architecture. Software architecture of CNC system was set up, which decomposed CNC system into the functional units, reliability indexes of the system can be distributed into each component from top to bottom. The relative weight of software element in each level of the architecture was determined with analytic hierarchy process (AHP) method. The software reliability allocation model was built by taking the maximum practicability of CNC system as the target function, the reliability and cost function of component as the constraints. The reliability of each component was calculated through culture algorithm (CA). According to the result, the reliability allocation worked out is reasonable and feasible, and during the development of allocation model, the practicability of CNC system was guaranteed and development cost was also saved effectively.
Jiajing Wang1, 2, Shuhong Jiao1, Zhenyu Sun3
1Faculty of Information and Communication Engineering, Harbin Engineering University, No.145, Nan Tong Road Harbin, Heilongjiang, China
2No.92677 Unit of PLA, Dalian, Liaoning, China
3No.91550 Unit of PLA, Dalian, Liaoning, China
The image segmentation is the basis of image interpretation in remote sensing applications and plays vital role in image analysis. The Markov Random Field (MRF) approach is widely studied for use in segmentation of remote sensing image, which is an important extraction technique in recognition problems. This paper presents an unsupervised segmentation method for remote sensing image using the MRF. A novel neighbourhood system for the energy function has been proposed, the segmentation of remote sensing image and the optimization process of the parameters are performed simultaneously for the unsupervised segmentation in iterative condition. The experimental results on Synthetic Aperture Radar (SAR) images show that the proposed method performs better than the conventional Bayesian segmentation methods.
Shengang Hao1, Zhang Li1, Gao Xin2
1School of computer and information technology, Nanyang Normal University, Nanyang 473000, Henan Province, China
2National center for protein science Shanghai, Institute of biochemistry and cell biology, Shanghai Institutes for Biological Sciences, CAS, Shanghai 201210, China
Many open distributed systems across Internet such as those in grid computing and RECS (remote environment control system) involve the requesting, allocation and maintenance of sorts of resources. The discovery of large amount of resources in different sites is an important issue for the design of these systems. The booming semantic Web technology provides a suitable infrastructure for the publishing, requesting and matchmaking of resources. This paper presents a generic representation for quantified resource requesting with Semantic Web. It allows the representation of complex resource descriptions such as containment hierarchies and disjoint constraints between them. A model-theoretic semantics for matchmaking with countable resources is given for this representation. A constraint-based technique for the matchmaking check with such representation is designed to ensure the correctness for remote environment control system.
College of Information Technology Eastern Liaoning University, DanDong City, LiaoNing Province, China, 118003
Studies on the cascading failure process and characteristics in the computer network are beneficial to guiding the system construction and improving the performance. Based on the load initialization capacity of the computer system, routing control strategies and node forwarding rate, this paper constructed one cascading failure model considering service performance in the computer network specific to the influence of cascading failures on the service performance of the computer system network. This model considered multiple influence parameters and effectively measured the variable values of influence parameters of cascading failures on the service performance of the computer system network. Through comprehensive analyses, this model can effectively provide practical guiding significance for the prevention and control of cascading failures in the network.
School of Electronic and Information Engineering, Ningbo University of Technology, Ningbo, Zhejiang, 315016, China
With the features of substantial data and complex landmark, remote sensing images need a higher requirement for edge detection operator. Due to the limitations of grads operator and Canny operator in edge detection, this paper presents an edge detection method based on 2-D Gabor wavelet real part and the experimental analysis shows this method was better on edge detection.
Jian Yang1, 2, 3
1College of Computer, Nanjing University of Posts and Telecommunications, Nanjing, Jiangsu 210003, China
2Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing, Jiangsu 210003, China
3Key Lab of Broadband Wireless Communication and Sensor Network Technology (Nanjing University of Posts and Telecommunications), Ministry of Education Jiangsu Province, Nanjing, Jiangsu 210003, China
With rapid development of hardware, wireless sensor networks (WSN) have been applied in a wide range of fields. However, energy cost constrains putting WSN into use. To reduce energy cost, extending life time, WSN in low-duty-cycle (LDC) draws researchers’ attention. In general, work time of a node only occupies 0.1%-10% in a cycle. This model certainly reduces the energy for idle listening. On the other hand, it makes the probability of congestion very high due to a node that can only receive packets when waking up. This paper proposes a new LDCWSN model to solve the congestion from duty schedule. With the model, we show a strategy for WSN fault averting, diagnosing and recovery based on congestion in nodes. We include some attributes of LDC WSN in our strategy, i.e. probability of congestion, scheduler, and link quality. By improving the selection of nodes on every level, we get a low rate for network’s fault appearance, low E2E delay and long lifetime. The simulation’s result shows that our strategy has a better performance in packet loss, energy cost and time delay than proposed WSN fault management.
Operation Research and Decision Making
A performance evaluation model of green supply chain based on fuzzy analysis method of multi-attribute decision-making
Management & Economics School of North China University of Water Resources and Electric Power, Zhengzhou, Henan, China
This paper proposes a performance evaluation model of green supply chain based on fuzzy analysis method of multi-attribute decision-making. In this model, an evaluation index system is established with economic profit, environment protection, business process and customer service taken into consideration. Fuzzy analysis method of multi-attribute decision-making is introduced to get the fuzzy incidence degree of different performance evaluation indicators. Analysis of performance evaluation of green supply chain is based on the fuzzy incidence degree. Finally, the model and the algorithm are proved to be scientific and feasible through case study.
Institute of Economy and Management, Normal College of Nanyang, Nanyang, Henan, China
Performance evaluation of supply chain is complex and of uncertainty, and is influenced by factors of multiple levels. Directing at the features mentioned above, this paper studied the performance evaluation of supply chain of multiple attributes, and put forward a performance evaluation model and algorithm of supply chain based on extension correlation function. Via analysis of relative factors in the process of performance evaluation of supply chain, the model gave out an index system of performance evaluation of supply chain and by standardization of different evaluation indexes, it built an improved extension correlation function between evaluation indexes of enterprise supply chain performance and the ideal range of supply chain performance. Thus, the comprehensive weighted extension goodness between enterprise supply chain performance and the ideal range of supply chain performance could be obtained. According to the value of comprehensive weighted extension goodness, the supply chain with the optimal implementation effect could be selected, so as to offer effective support for the follow-up implementation of supply chain. Finally, in order to offer a scientific method for improving the supply chain and the enterprise competitiveness, the model and algorithm was tested an actual case.
Ling Hou1, Meng Li2, Dongyan Chen1
1Department of Applied Mathematics, Harbin University of Science and Technology, 150080, Harbin, China
2School of Management, Harbin Institute of Technology, 150001, Harbin, China
Under the environment of supply disruption, it is significant to study decision-making, because sourcing strategies of retailers impact the profit of the supply chain while the pricing strategies of suppliers affect all aspects of the supply chain. In this paper, the demand distribution function of each supply chain is obtained, which is based on the total demand of two supply chains with given distribution function, and the sourcing and pricing problems are obtained in supply chain network under the environment of supply disruption. In order to decompose the total demand with the given distribution function, customer choice theory is adopted to acquire the demand of each supply chain. By game theory and optimization theory, we obtain the sourcing strategies of two retailers and the pricing strategies of two suppliers in this system. Finally based on the assumption of a uniform demand distribution, the outcomes of the proposed models are demonstrated with a numerical example. The results show that when disruption probability or delivery cost are high, retailers will only order from the spot market although the spot market wholesale prices are a little high; but when the disruption probability is moderate or low, the retailer would rather place orders from suppliers. Specific purchasing method depends on the competition ability between suppliers.
Jinshuan Peng, Lei Xu
Chongqing Key Lab of Traffic System & Safety in Mountain Cities, Chongqing Jiaotong University, Chongqing 400074, China
To reduce the risk of the lane changing behaviors, based on integrated collection platform, the research group conducts experiments under real road environment for the purpose of studying divers’ lane changing intent identification. On the basis of the drivers’ fixation characteristics of the rearview mirrors before changing lanes, the length of lane changing intent time window is determined. Based upon differential analysis of visual characteristics between lane keeping and lane changing intent stages, saccade numbers, visual search extent, saccade amplitude, standard deviation of head rotation angles in the horizontal direction are selected as the characteristic indexes of the identification. The logistic model is built according to feature extraction of the leaning samples, then applied to the identification process after the validity test. Results show that the identification success rate may reach 90.42%, thus verifying the feasibility and effectiveness of the logistic model to identify drivers’ lane changing intent.
The application of time domain and frequency domain statistical factors on rolling bearing performance degradation assessment
Yujing Wang1, 2, Yicheng Jiang1, Shouqiang Kang2
1School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150001
2School of Electrical and Electronic Engineering, Harbin University of Science and Technology, Harbin 150080
Rolling bearing performance degradation assessment is a predict and prevent technology. In order to assess the performance degradation degree of the rolling bearing, and make the time domain and frequency domain statistical factors be applied more effectively in rolling bearing performance degradation assessment, a comprehensive analysis method is proposed based on time domain and frequency domain statistical factors. Time domain and frequency domain statistical factors are calculated and analysed for the life cycle data of the rolling bearing. Outer raceway moderate fault and severe fault of the rolling bearing can be distinguished well by peak-to-peak level, the root-mean-square (RMS) value, and kurtosis value of time domain factors; normal state and mild fault can be distinguished better by frequency centroid, F3, F4 and F5 of frequency domain factors than each time domain factor. The outer raceway performance degradation condition of the rolling bearing can be monitored well by using the proposed comprehensive analysis method, which uses partly frequency domain factors to analyse mild fault and partly time domain factors to analyse moderate fault and severe fault.
College of Landscape Architecture, Nanjing Forestry University, Nanjing, China
Nanjing is one of the important central cities in the Yangtze River Delta, which goes through dramatic urbanization development in recent 40 years. In this research, green land distribution data in 1966, 1981 and 2004 were extracted from topographic maps, aerial imagery, and so on. Time series analysis has been conducted on the GIS platform; characteristics of the evolution of urban green land from 1966 to 2004 were summarized from the perspective of the scale, function, pattern analysis. The results reveal that an environmental function plays an important role, status of recreational function began to rise, the spatial pattern of green land has a tendency of specialization and complication, the downward of its total size accelerates. Woodland which maintain the basic pattern of the recent 40 years green land system in Nanjing remains stable structure.
A comparative analysis on circulation efficiency of different banana circulation modes in Zhangzhou city based on DEA model
Yaoting Chen1, Junyu Dai2
1School of history and social development of Minnan Normal University, No.36, Xian Qian Road Zhangzhou in fujian province, China
2School of Minnan Normal University No.36, Xian Qian Road Zhangzhou in fujian province, China
In the paper, the software DEAP was used to evaluate relative efficiency of 8 kinds of banana circulation modes in Zhangzhou City. CCR model and BCC model were employed. The related index included input (unit circulation cost, circulation time, and circulation loss rate) and output (net profit). The result showed that, the comprehensive efficiency, pure technology efficiency, scale efficiency in Mode 1 (farmers-third party logistics–supermarket–consumers) and Mode 8 (farmers-banana sales stalls–consumers) were relatively efficient. Therefore, it was judged that the main factors affecting the circulation efficiency were the compression of circulation level and the ascension of scale and professional level.
Tao Shi1, Zhijie Xing2
1Handan College, Handan city, Hebei province, China
2Hanshan District Experimental Primary School, Handan city, Hebei province, China
Sports economy refers to rational allocation of various resources to develop sports related functions and economy. This study identified the bottleneck factors constraining the development of sports economy. A fuzzy hierarchical evaluation model was developed using FAHP. The results indicated internal competitiveness, development of market-oriented economy and social development played important role to sports economy. Thus, policy recommendations on sustainable and sound sports economic development were proposed. The future prospect and development mode were analysed.
Xinling Du1, 2, Lingyi Meng1, Yujian Wu1
1School of Management, Beijing Normal University Zhuhai Campus, Zhuhai 519087, China
2School of Humanities and Economic Management, China University of Geosciences (Beijing), Beijing 100083, China
Based on existing research, a model and evaluation index systems are developed for assessing e-commerce satisfaction of customers. We centralizes associated questionnaires for six topics, namely, convenient operation for online shopping, product information, distribution service, safety and reliability of the system, handling of customer complaints, and staff services, that are administered among college students in Guangdong Province of China who have experienced purchasing items online. The proposed model explores the factors that affect customer satisfaction. The effects of these factors are then analysed using descriptive statistics and factor analysis method to verify the accuracy of the model and to draw Safety and reliability of the system has the highest correlation coefficient with customer satisfaction, different gender and grade factors significantly affect customer satisfaction.
Liping Fu1, Juan Li1, 2, Zuting Zheng2
1Public Resource Management Research Center, College of Management and Economics, Tianjin University, Tianjin, China
2Hebei United University, Tangshan, Hebei, China
This paper analysed the inputs and outputs of public cultural services in 31 provinces of China in 2012, including municipalities and autonomous regions, based on the CCR model of DEA and the DEA cross-evaluation model. The DEAP2.1 software was also used for this empirical analysis to probe the performance and problems of the inputs and outputs of public cultural services. From analysis, this paper reached some conclusions, including the development of cultural services should be based on the increase of industrial inputs, as well as the optimization of resource allocation, so as to achieve the optimum state of inputs and outputs. The research results can provide a reference for the further improvement of the quality and inputs and outputs efficiency of public cultural services in all regions.
Lixian Jing, Juan Li, Yi An
Hebei United University, 46 Xinhua Road, Tangshan, Hebei, China
This paper presents research into the statistical data related to China’s economic growth from 1990 to 2011, obtained by application of the DEA analysis method to the data in the China Statistical Yearbook 2012. First, a brief introduction is given to the principle structure of the Data Envelopment Analysis mathematical model. Second, the model is established, based on modelling of the decision-making unit in the Data Envelopment Analysis model; and a detailed discussion is made of the corresponding linear program. Finally, the optimum value of this program is obtained and the results evaluated through study of the data collected by the mathematical model established in the paper. The main conclusions are as follows: the per capita income of China’s farmers is closely related to the national total agricultural economic output and the total power of agricultural machinery, but is not that closely related to the crop planting area, area of affected crops or crops disaster area. Further, China’s agricultural development shall lead to an advanced level of huge mechanization.
Bohai University, BoHai City, LiaoNing Province, China, 121013
Trade openness plays can affect China’s economy significantly. In this paper, effect of trade openness on China’s economic growth was discussed by using the error correction model, Granger causality test and impulse-response function. Moreover, an in-depth analysis on strategies that can facilitate China’s economic development was carried out. The empirical research results demonstrated that: 1) there’s a short-run equilibrium relationship rather than a long-run one between trade openness and economic growth; 2) the import trade is related with the export trade. Due to the hedging, their collaborative effect is smaller than their independent effects; 3) trade openness can facilitate economic growth within a certain time period, which presents a “U-shaped” influence mode.
Chong Qian1, Zhan-ao Wang2
1First Author, City College of Wenzhou University, Wenzhou city, Zhejiang province, China, 325035
2Corresponding Author, City College of Wenzhou University, Wenzhou city, Zhejiang province, China, 325035
The developed countries have been accusing China for its trade surplus for a long time. In order to verify the influence of trade imbalance on the economy, our research applied techniques like error correction function, Granger test and impulse response function. The research outcomes manifest that: the influence of trade imbalance on the economy is not significant. On the contrary, the economy imposes certain impact on trade imbalance. Both imports and exports significantly promote the development of economy. Furthermore, imports remarkably facilitate exports. This can also be attributed as the reason of China’s trade deficit before 1992.
Cai-yun Gao1, 2, Xi-min Cui1
1College Of Geoscience and Surveying Engineering, China University of Mining and Technology, Beijing 100083, China
2College of Surveying and Mapping Engineering, Henan University of Urban Construction, Pingdingshan 467044, China
Although the back propagation neural network has been successfully employed in various fields and demonstrated promising results, literatures show its performance still could be improved. Therefore, we present a comprehensive comparison study on the application of different BP algorithm in time series of deformation forecasting. Four types of typical improved BP algorithm, namely, momentum, conjugate gradient, Quasi-Newton and Levenberg-marquardt algorithms, are investigated. An illustrative example of high-rise building settlement deformation is adopted for demonstration. Results show that the improved BP algorithms can increase the prediction accuracy and have faster convergence speed.
Relative humidity prediction of northern greenhouse environmental factors on the basis of a radial basis function neural network
Chunling Chen1, 2, Long Wang2, Tongyu Xu2, Jiawei Qi2
1Key Laboratory of Protector Horticulture, Ministry of Education, Shenyang Agriculture University, 120 Dong Ling Road, Shenyang, China
2School of Information and Electrical Engineering, Shenyang Agriculture University, 120 Dong Ling Road, Shenyang, China
With its advantages of abundant resource, popularity, and efficiency, solar greenhouse is the only type of greenhouse that is widely used in Northern China. This study proposes a simulation prediction model that is based on a radial basis function artificial neural network. This model is suitable for dealing with humidity in northern solar greenhouses. We select 600 groups of training data to establish the network model and to verify its accuracy. We then randomly select 80 groups for validation. With a 7.35% average error rate, the prediction model shows satisfactory performance. Thus, the results can be used to predict the relative humidity curve in a greenhouse, as well as provide a scientific basis for reasonable regulation and control of a greenhouse environment.
Zhang Jilin1, 2
1Research Center for Data Analysis, Fujian University of Technology, Fuzhou, Fujian Province, China, 350118
2Fujian Collaborative Innovation center for Beidou Navigation and Intelligent Traffic, Fuzhou, Fujian Province, China, 350118
In this study, the leading indicator is considered as a new technical analysis method for evaluating stocks. This paper is written using the special characteristics and features of the principles of fluid motion, which can be applied to microscopic and macroscopic aspects of stock prices. Microscopic aspect: the stock that changes fastest is considered the leading indicator, which can be easily found by auto-filtering in Excel after working out the speed rate via program Matlab. The trend of other stocks will be predicted by analysing the leading indicator. Macroscopic aspect: determine the leading indicator, which are the top 10 stocks listed in the speed analysis results in the microscopic aspect. The trend of A-shares in a certain time period will be predicted according to the trend of the leading indicator. In order to verify the viability of the leading indicator analysis method in microscopic and macroscopic aspects, we do the following research. We collect 4 days of stock price data to find out the leading indicator via the microscopic or macroscopic leading indicator method. When the corresponding leading indicator is found, then we predict the trend of other stocks and A-shares in a certain time period, so that the feasibility of the leading indicator methods can be proved.
Rural logistics service providers pricing and competition-cooperation research considering the 3PL accessibility
Jing Xu1, 2, Guanxin Yao1, 2
1School of Management, Jiangsu University, Zhenjiang, Jiangsu, China, 212013
2Yancheng Institute of Technology, Yancheng, Jiangsu, China, 224051
Rural logistics service providers pricing and competition-cooperation problems are researched in this article considering the 3PL accessibility in which the post logistics dominants. In the competition stage a model of master-slave Stackelberg game is to be established, and in the stage of cooperation, a cooperation model under different circumstances and the optimal pricing scheme without government intervention are discussed. This study could provide some economic phenomena existing explanations, as well as a reference and theoretical support for the decision-making act of Postal Logistics and other rural logistics-related subject.
Stakeholder orientation and financial performance of NPOs: development and testing of a mediating model
School of Business Administration, Nanchang Institute of Technology, Nanchang, China
Literature examining how stakeholder-oriented strategy helps non-profit organizations (NPOs) cope with environmental uncertainty is limited. Thus, this study builds and tests a mediating model to investigate the relationships among stakeholder orientation, social performance and financial performance of NPOs. Data from 32 NPOs were collected in east China. Multiple regression analysis was employed to examine the relationships among the variables. The results revealed that stakeholder orientation has a positive and significant relationship with both social performance and financial performance. Meanwhile, it was discovered that social performance is significantly related to financial performance. Further, the results provided empirical evidence that the relationship between stakeholder orientation and financial performance was fully mediated by social performance. The limitations and future research directions were also discussed. This paper not only contributes to the theory of stakeholder orientation but also provides practical implications for NPOs on how to improve organizational performance.
Study on distribution and economic growth based on feder-model: evidence from Fujian province in China
Yong-shi Hu1, 2, Yue Yu3, Ming-xing Xu3
1Department of Traffic and Transportation, Fujian University of Technology, Fuzhou City, Fujian Province, P.R. China, 350108
2Theoretical Economics postdoctoral mobile research station, Fujian Normal University, Fuzhou City, Fujian Province, P.R. China, 350108
3School of Economics & Management, Fuzhou University, Fuzhou City, Fujian Province, P.R. China, 350108
The effect of distribution expansion on economic growth is examined as one of the sources of growth. The research available mostly focused on the direct effect of distribution and ignored the externality effect of distribution. The paper tested the direct effect of distribution on economic growth in Fujian province, China with the indicators such as direct contribution and direct contribution rate, and an analytical framework is developed, incorporating the possibility that marginal factor productivities are not equal in the distribution and non-distribution sectors of the economy. Econometric analysis utilizing this framework in the period 1978-2011 indicates that the existence of externality effect generated by distribution sector, which is much larger than the direct effect, significantly affected the economic growth in Fujian province, China. However, the results indicate the marginal productivity of distribution sector is lower than non-distribution sector in Fujian province, which constrains the externality effect of distribution sector. We should take action to improve the level of modernization and informationization of distribution sector and turn distribution sector from labour-intensive to technology-intensive as soon as possible.
College of educational science, Xinjiang Normal University, Urumqi, Xinjiang, China, 830056
Land desertification is one of the greatest disasters in the world because of its wide-range influence, long duration, and enormous loss. The desertification early-warning system is very important to decrease the disaster occurrence and the reduction of disaster loss. The grid accumulation desertification early-warning model can provide this. Therefore, Land Desertification Early-warning System of Xinjiang (LDES_XJ) was built in Browser/Server (B/S) structure based on the grid accumulation land desertification early-warning model. The functions include the publishing of land desertification warning information sub-system, the desertification data management, the map browsing and query have been realized in the LDES_XJ. The system is a fundamental platform for the land desertification prevention and control as well as a convenient communication platform for the government, which makes it more convenient for relevant people to obtain the desertification early-warning information and also plays an important role in the desertification prevention and control in Xinjiang, China.
Chao Yu1, Zongshan Pu2, Lei Chen2
1College of Cooperative, Qingdao Agricultural University, Qingdao, Shandong, China, 266109
2Sichuan Normal University Chengdu College, Chengdu, Sichuan, China, 611745
With the steady implementation of the “Go Out” strategy, China has been developing rapidly in the outward foreign direct investment. This paper, based on the 2003-2012 panel data of Chinese outward foreign direct investment, applies systematic GMM model and variable intercept model to study the location choice of Chinese outward foreign direct investment. Research findings show that, the resource endowment and bilateral trade of the host country have significantly positive impacts on Chinese outward foreign direct investment, whereas the market size and technical merit of the host country bring about significant negative impacts. Therefore, domestic corporate outward foreign direct investment should still focus mainly on resource acquisition and trade complementarity rather than acquiring technologies.
The collaborative optimization of uncertain supply chain network under multi-generation co-existence
School of Business Administration, Zhejiang University of Finance & Economics, Hangzhou, 310018, China
This paper studies the collaborative optimization of multi-generation co-existence supply chain network of single manufacturer, multi-distribution centre and market. Firstly, we considered the effects of prices, time and substitutability on the market demand of both new and old products and the whole production and marketing decision, and then subdivide the products demand of each generation. Secondly, considering that as the lifecycle stage of each generation differs, there exist differences in demand characteristics, which make the structure of supply chain network obviously different, we built WCVaR risk optimization model of production-distribution network under co-existence, which subjects to scattering distribution constraints and solve the model by Lingo11.0 and then made simulation analysis. Lastly, we verified the validity of the model with the optimization results of numerical simulation.
Hao-ran Shi1, 2, Xiaoqing Liu1, Yao Yang1
1School of Energy and Environment, Xihua University, 610039, Chengdu, P.R. China
2School of Transportation and Logistics, Southwest Jiaotong University, 610031, Chengdu, P.R. China
Based on the thinking and method of dynamic programming, this paper calculates the expected profit of every selling cycle of newsvendor by historical data and calculates the expected profit of the second selling cycle by that of the first selling cycle. We will get the optimal purchasing quantity as the expected profit begins to fall. Besides, this paper also discusses the stock loss and gets the optimal purchasing quantity by empirical examples.
A market segmentation model of enterprise marketing based on an improved grey correlation analysis methods
Chongqing College of Electronic Engineering, Chongqing, China
In order to make out quick and effective enterprise sales strategy, this paper studies market segmentation for key brand products and proposes a market segmentation model based on an improved grey correlation analysis methods. Key indicators about market segmentation are analysed first. These indicators are then subject to standardization to be in the unified measurement. On this basis, classical grey correlation analysis methods get impTableroved and Hamming distance is adopted to cope with fuzzy information. Grey correlation coefficient and grey correlation degree of market segmentation are acquired. AHP is introduced to assign weight to indicators of market segmentation in order to get weighed comprehensive grey correlation degree. Finally, test is given to the effectiveness, scientific nature and feasibility of the model and algorithm through case study of a brand product.
Business Administration Department, Henan Polytechnic, Zhengzhou 450046, P.R. China
This paper studies the marketing strategy of enterprises and proposes an enterprise extension marketing model based on extension engineering methods under market economy. The matter-element model for enterprise marketing is established on extension theory, and the matter-element features, values and discourse domain are studied to produce more marketing strategies. These strategies are subject to extension priority-degree evaluation for convergence analysis. Compatibility analysis is also carried out. Empirical studies prove the model to be feasible and effective.
An improved Grey prediction model and the application in college sports information management system
Ziya Wang1, Ran Li2
1Department of Physical Education, Anhui Jianzhu University, Hefei, Anhui, China
2School of Management, Anhui Jianzhu University, Hefei, Anhui, China
The sports elective course is an important means for college students to exercise their physical education and quality education. Because the students can choose the elective courses voluntarily online, teachers and colleges cannot learn the number of the students who choose the sports elective courses before the deadline. In this paper, we propose an improved GM (1, 1) prediction model to forecast the number of the students who take part in the sports elective courses and apply this model in the college sports information management system. Firstly, this paper puts forward the Grey prediction model with time parameter. Then, this paper studies the constructing mechanism and the modelling characteristics of this model. At last, we use the improved GM (1, 1) model to forecast the number of students who select the college sports elective courses in college sports information management system. High precision of the fitting and forecasting are obtained in the experiment while the result verifies the validity of the model.
Ran Li1, 2
1School of Management, Hefei University of Technology, Hefei, Anhui, China
2School of Management, Anhui Jianzhu University, Hefei, Anhui, China
The bullwhip effect is an important parameter to measure whether the logistics management is good or not. The bullwhip effect affects the production, inventory, transport efficiency in logistics management seriously. In this paper, we establish the structural model of supply chain with multi distribution centre and apply control method to inhibition the bullwhip effect. We analyse the control mechanism of the bullwhip effect and present the control arithmetic to control the bullwhip effect. All the processes are under the circumstance that the demand is worst according to the control theory. At last we processed a stochastic control simulation experiment to control the bullwhip effect. The result shows that the bullwhip effect is inhibited and the bullwhip effect is reduced and stable. The first part of this paper is the related problem description. The second part is basic model and quantitative description of bullwhip effect. The third is control method. The last part is a simulation example.
Nature Phenomena and Innovative Engineering
Jian Chu1, Guoyu Wang2, Shan Xu3
1Joint Laboratory of Information Sensing & Intelligent Control, Tianjin University of Technology and Education, Tianjin, 300222, China
2School of Mechanical Engineering, Tianjing University of Technology and Education, Tianjin, 300222, China
3Tianjin Bohai Vocational Technical College, No11 Juliansan Roda Hexi District Tianjin, 300221, China
Traditional fault diagnosis with single parameter fails to evaluate the operation state of aero engine. This paper analyzes the extension evaluation based on supervision information of engine’s performance and works out an evaluation system as well as an extension evaluation model and algorithm based on incidence function in extension theory. Through the model, parameters under the operation state of aero engine are studied. The incidence function in extension theory between classic domain and section domain of all attributes and parameters is established in the corresponding evaluation system. This makes it possible to acquire the state level of aero engine according to incidence in extension theory.
The bionic design, virtual prototype modelling and motion simulation of biped robot with heterogeneous legs
Hualong Xie1, Nan He1, Fei Li2
1School of Mechanical Engineering & Automation, Northeastern University, Shenyang, Liaoning, 110819, P.R. China
2School of Information Science & Engineering, Shenyang University of Technology, Shenyang, Liaoning, 110870, P.R. China
The research of humanoid robot and intelligent prosthesis is integrated and a new-style humanoid robot named biped robot with heterogeneous legs (BRHL) is proposed to provide an ideal test-bed for intelligent bionic leg (IBL). The research background and concept of BRHL are introduced. The existed problems of common humanoid robot leg are analysed in detail. Based on bionics, the joint structure and driving scheme of artificial leg with pneumatic muscle actuator and bionic leg with magneto-rheological damper are designed. Using Pro/E, the virtual prototypes of artificial leg, bionic leg and BRHL are established. The bionic characteristics of artificial leg and bionic leg are analysed and the motion simulation of BRHL using ADAMS is done. The simulation indicates that BRHL can simulate amputees with IBL well and is an ideal test-bed for IBL.
Mei Liu, Songling Wang, Zhengren Wu
School of energy power and mechanical engineering, North China Electric Power University Baoding, China, 071003
Two-dimensional model of inclined uneven wall was established based on VOF method to numerically simulate the flow characteristics of liquid film. The impact of physical property on the flow field is studied. Water, acetone and ethyl alcohol were selected as the medium. The results indicate that liquid film thickness increases with liquid viscosity, while the phase difference between free surface and the uneven wall has no change. The continuous uniform film is easy to form while considering the surface tension. Furthermore, the phase difference and liquid film thickness both increase when taking the surface tension into account.
Danling Wang1, Yanfei Wang2
1School of Mathematics and Physics, University of Science and Technology, Beijing, China
2School of Sciences China Agricultural University Tsinghuadonglu 17, 100083, Beijing, China
Multifractal analysis is a useful way to systematically describe the spatial heterogeneity of both theoretical and experimental fractal patterns. In this paper, we introduce a new box-covering algorithm to compute the generalized fractal dimensions of complex networks. We apply our method on networks built on disease-related gene microarray data and PPI networks. For each microarray data, we compare the difference of multifractal behaviour between gene networks that reconstructed from patients and normal micorarrays. The result suggests that multifractality exists in all the gene networks we generated and the differences in the shape of the Dq curves are obvious for all microarray data sets. Meanwhile, multifractal analysis could provide a potentially useful tool for gene clustering and identification between healthy people and patients. For the analysis of PPI networks, the results support that the algorithm is a suitable and effective tool to perform multifractal analysis of complex networks, and this method can be a useful tool to cluster and classify real PPI networks of organisms.
Calculation of microstress in machining distortion of titanium alloy monolithic component based on x-ray diffraction experiment
Yong Yang, Weiwei Zhu
School of Mechanical Engineering, Qingdao Technological University, Qingdao, China
Machining distortion of titanium alloy monolithic component is closely related to the internal stress of material. In this paper, the various factors causing width effects of X-ray diffraction line were analysed, and the effect of stacking fault on diffraction spectrum was excluded according to the result of TEM experiment. The true diffraction spectrum, which can reflect inside information of Ti6Al4V titanium alloy, was determined using MDI JADE peak shape analysis method. Further, the calculation model of microstress was constructed. Combining with the result of X-ray diffraction experiment, microstress in machining distortion of titanium alloy monolithic component was calculated. This work establishes the foundation for investigating the mechanism of machining distortion of titanium alloy monolithic component.
Research and implement of CATIA parametric modelling-based cutter information integration in VERICUT
Xianguang Kong, Yihui Li, Lei Yin, Xiaowen Wang
School of Electromechanical Engineering Xidian University, Xian, Shaanxi, 710071, China
In order to achieve the integration of the VERICUT tool library and tool management software, this paper studies the VERICUT tool integration technology based on CATIA parametric modelling. As the tool modelling ability is limited, VERICUT can neither achieve complex tool modelling nor generate the tool model by parameterization. Therefore, the secondary development based on VERICUT is unable to meet the integration requirements of tool information. This paper proposes a new integration approach, which transforms the integration of VERICUT and tool management software into VERICUT and CATIA tool information. Meanwhile, a feasible integrated development process is put forward. First, the tool model is parametrically driven by CATIA. Then, the integration of the CATIA tool library and tool management software is realized based on CAA. Finally, the transformation of CATIA and VERICUT tool model is accomplished, which indirectly realizes the integration of the VERICUT tool library and tool management software. During the NC machining simulation, VERICUT inherits the tool information and model generated by CATIA NC programming, which can ensure consistency with the tool information in tool management software. This paper solves the problem of integration of tool management software and VERICUT in the context of a digital manufacturing project; successful application of the proposed approach has greatly improved the efficiency of NC programming.
Jian-Zhang Wu1, 2, Yu Xiao3, Wei Gao4
1School of Computer Science & Engineer, Southeast University, Nanjing 210096, China
2Key Laboratory of Computer Network and Information Integration, Southeast University, Nanjing 210096, China
3School of Continuing Education, Southeast University, Nanjing 210096, China
4School of Information Science and Technology, Yunnan Normal University, Kunming, 650500, China
As a model of concept representation, ontology has widely applied to various disciplines. Ontology mapping is used to create the link between different ontologies. In this paper, we present a new ontology mapping algorithm by virtue of bilinear model. The linear mapping pair is given by the iterative procedure. Two strategies are manifested to obtain the finally ontology mapping. The simulation experimental results show that the proposed new technologies have high accuracy and efficiency on ontology mapping in certain applications.
The two-step motion compensation combined squint wavenumber domain algorithm based on fractional Fourier transform
Gewei Tan, Wei Lin
School of information science and engineering, Huaqiao University, Xiamen, China
Fractional Fourier transform (FrFT) is a kind of generalized Fourier transform, which processes signals in the unified time-frequency domain and the linear frequency modulation signal can be well focused after FrFT. Motion error is an important factor affecting the SAR resolution, conventional wavenumber domain (CWD) algorithm is an ideal solution of SAR focusing problem as long as nominal straight flight track is given, especially in the case of high squint angles and long synthetic apertures, but it has certain limitation in processing airborne SAR data affected by motion error, so extended wavenumber domain algorithm (EWD) is presented. Pointing to the problem that the effect of error elimination is not obvious in processing non-stationary motion error using EWD algorithm, FrFT based the two-step motion compensation combined squint wavenumber domain algorithm is put forward in this paper, which is expected to eliminate the influence of motion error more effectively, so as to obtain high quality SAR images. The simulation results and the imaging results of real SAR data show that the proposed algorithm can eliminate the influence of motion error effectively. (the real SAR data provided by Institute of Electronics, Chinese Academy of Sciences).
Research on grid replacement technology and two-dimensional isothermal simulation on melt flow of blown film
College of Computer Science, South-central University for nationalities Hubei Wuhan, 430074, China
Established a melt flow model of two-dimensional isothermal simulation for spiral mandrel blow-film die, analysed die swell-effect at the die exit of blown film extrusion process by grid replacement technology, obtained the pressure distribution in the internal flow of blow-film die, and analysed the shape change of free surface at die extrusion section with different viscosity materials. The results showed that the resistance force of the melt flow under internal flow of blow-film die mainly from the spiral direction, with depth of spiral groove gradually shoaled, the direction of resistance force changed from spiral direction to axial direction. When high viscoelastic material entered blow-film die being extruded, the shape of free surface at die extrusion section would change significantly, meanwhile, the gradient of radial velocity of melt flow in the internal die became gradually reduced.
Liyang Liu1, Chao Li2, Qi Zhang3
1School of Mechanical Engineering Shenyang Ligong University, Mechanical Engineering, Shenyang, China
2Shenyang Mint, Shenyang, China
3State Grid Yingkou Electric Supply Company
The mold surface of cylindrical cam is very complex. There are some questions in designing and using by unfolding picture of cylindrical cam. The thesis infers and builds the mathematical models of cylindrical cam through the theoretical analysis from the nature of space motion cylindrical cam. The models provide the theoretical reference of right projecting, manufacturing and examining.
Lifang Ma1, 2, Yaxin Wang1, Yang Liu1, Shizhong Zhang1, Yu Chen1
1School of Materials Science & Engineering, Beijing Institute of Technology, Beijing, China
2National Research Center for Rehabilitation Technical Aids, Beijing, China
Prosthetic socket materials must exhibit a good processing performance so that a variety of desirable shapes can easily be formed, thereby enabling more controllable and adjustable socket production process and socket compatibility with the human anatomy and movement mechanics. Additionally, they need to feature high strength and light weight, and must be comfortable for the patient to use. In this study, the properties and application potential of current prosthetic socket materials, such as thermoplastic sheets, low-temperature thermoplastic sheets, silicone-based materials, and resin-based composite materials, were compared. Additionally, the matrix used in resin-based composite materials was investigated by infrared spectroscopy.
Ling Wang, Peng Guo, Lin Liu
Geography Department of Shihezi University, Shihezi 832000, China
Remote sensing technology is widely used in real-time observations. In this study, therefore, salinization information was extracted from Thematic Mapper (TM) images. In particular, remote sensing information regarding saline soil was obtained to analyse its dynamic changes. This soil collected from the Manas River Basin in Xinjiang Province China was selected as the research area. Data from Landsat TM remote sensing images with seven bands were obtained in August 2010 as inputs, and salinization information was extracted using the e-Cognition system. As per this information, high-salinity soil is mainly distributed outside the oasis. The data were analysed further through the normalized differential vegetation, normalized difference water, and remote sensing image indices. Analysis results show that overall classification accuracy can reach 83.7%, thus demonstrating that the automatic extraction of information regarding saline soil is highly accurate. Furthermore, this information can be automatically and precisely extracted using an object-oriented method.
Jianping Li1, Tongxiao Shang2, Yixiao Guan3
1State Key Laboratory of Mining Disaster Prevention and Control, Shandong University of Science and Technology, Qingdao, 266590, China
2Key Laboratory of Earth Fissures Geological Disaster of MLR, Nanjing, 210018, China
3Geological Survey of Jiangsu Province, Nanjing 210018, Jiangsu, China
This study proposed the volume integral equation method to invert the complex resistivity parameters of 3D bodies in homogeneous half space. The partial derivative matrix of 3D bodies to complex resistivity was obtained with the use of electromagnetic field partial derivatives to the real resistivity combined with the complex resistivity spectrum partial derivatives of the Cole–Cole model. The classical damped least squares inversion method was applied. Results show that with at least four frequency data points, true complex resistivity parameters, as well as geometric parameters, can be inverted. The four parameters in the Cole–Cole model are interdependent. Chargeability and time constant are highly correlated, such that either one of these factors should be fixed prior to inversion. Furthermore, the proposed inversion algorithm we proposed has high efficiency because it only works in a split unit.