Mathematical and Computer Modelling
Heilongjiang University of Science and Technology
With the development of computer network technology, the open, heterogeneous and distributed systems have become the mainstream in current computer applications because of the sharing resources, high availability, parallel processing and so on. However, due to the problems of development, which are constant expansion of systems size, evolution and continuous improvement, maintenance that required, specific distribution, autonomy and heterogeneity, a lot of research and software development practice shows, the introduction of software architecture which guide distributed system to develop and assume component blueprint is a practical and effective way to solve the difficulties of the development of distributed systems and build distributed systems successfully. Therefore, how to improve the quality and efficiency of distributed systems development by using software architecture, and ensuring system maintenance and space evolution are the key to develop distributed systems, also the core of this study. Software architecture, formal description of distributed systems interaction style, refinement and mapping architecture, distributed architecture systems development methods under evolution and reconstruction driving were studied based on the current distributed systems development methods as well as the problem of inadequate means.
Three-dimensional deployment algorithm based on ideal fluid dynamics model for mobile sensor networks
Jiguang Chen, Huanyan Qian
School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, 210094, China
In the paper, a three-dimensional deployment algorithm based on ideal fluid model for sensor networks is proposed. On this basis, the proposed ideal fluid model is analysed, and the concept of flow field model is applied in deployment of wireless sensor networks. Sensor networks are abstracted as ideal fluid, with nodes as fluid micelles. In the deployment process, motion of nodes follows momentum conservation law of fluid micelle. Moreover, a simulation experiment is performed in this paper with the proposed deployment algorithm as the experimental subject. Coverage and uniformity are 2 indexes employed to evaluate the performance of the proposed algorithm. Shown by the simulation result, the three-dimensional deployment algorithm based on ideal fluid model for sensor networks leads to good deployment effect.
Goal's three-dimensional trajectory reconstruction based on the adaptive multiple target surface iteration method
Ming Lei, Mingming Chen, Hanshan Li
School of Electronic Information Engineering, Xi’an Technological University, Xi’an, Shaanxi 710021, China
In order to solving the problem of the multiple bullet target matching and multiple bullet three-dimensional trajectory calculation., this article proposes a method for bullet three-dimensional trajectory measurement based on an adaptive multiple target surface and multiple iteration algorithm. In this method, it set up a virtual cuboids target space which includes multiple bullet trajectories. It used two high speed cameras, one in left and another in right, to capture images. In the vertical direction of the bullet flying, these images were segmented into infinite plane, which are multiple target surfaces. It used the projective transformation to recover the target two-dimensional image from the left and the right images, and repeated this process until finding the bullet point in left view is coincide with that in right view. If the points were found, it indicated that it achieves the goal's accurately matching and every space location of the bullet. The simulation experimental results show that this method is feasible, image processing and analysis is merely influenced by background. This method can effectively realize the bullet three-dimensional trajectory target matching, and it has strong maneuverability.
Juan Yang, Xuesong Han
Cheng De Petroleum College, Chengde, Hebei, 067000, China
Intelligent algorithm is developing rapidly with the development of computer technology. And it is widely used in scientific research and industrial application. As a kind of intelligent algorithm, particle swarm optimization (PSO) has been used in solving problem for a long time. It is based on the bird group behaviour and uses biological group model to find the optimal solution. Its advantages are fast calculation speed and easy implementation while the disadvantages are easily getting into the local extreme, slow convergence speed in the late evolutionary and poor precision. In order to avoid the disadvantages, some modification has been studied for PSO algorithm and establishes the concentration degree and steady degree based PSO (CS-PSO) algorithm in the paper. Based on the convergence performance of particle swarm depends on the particle exploration ability, search space has been adaptively adjusted to improve the convergence performance of particle swarm optimization with the variation of optimal fitness value. Corresponding adjusted method has been shown in the paper. According to the example verification, the CS-PSO is effective and then the algorithm is used in the bellow structure optimization.
Jianmin Xu1, Lizhi Gu2, Shanming Luo3
1College of Mechanical Engineering and Automation, Huaqiao University, Xiamen 361021, China
2College of Mechanical Engineering and Automation, Huaqiao University, Xiamen 361021, China
3School of Mechanical and Automotive Engineering, Xiamen University of Technology, Xiamen 361024, China
A numerical model of cycloidal gear is created by using three-dimensional software and finite element analysis is applied with ANSYS platform. The first six natural frequencies and mode shapes are obtained, as a result. Influences from structure, material and thickness of the gear are investigated. Analysis shows that, modal shapes of cycloid gear are mainly circumferential modes, umbrella-type modes, torsional vibration mode and radial modes. The first six natural frequencies of 5 kinds of cycloid gear with variable cross-section were smaller than those of ordinary cycloid gears, and cycloid gears with variable cross-section can avoid resonance frequencies easily. Dynamics of five new cycloidal gears with variable cross-sections are consistent with ordinary cycloid gears. Modal frequencies of ordinary cycloid gears increases in accordance with materials, such as bearing steel, alloy steel and plastics; also, natural frequency increases with the increase of the thickness of the gear. Conclusions of this paper provide a basis for dynamic designing of cycloid gears.
Yong-jun Zheng1, 2, Fei Wang2, Shan-an Zhu1
1College of Electrical Engineering, Zhejiang University, Hangzhou, Zhejiang 310027, China
2College of Metrology and Measurement Engineering, China Jiliang University, Hangzhou 310018, China
Stochastic resonance phenomenon induced in a system described by over-damped fractional Langevin equation with -stable noise is investigated. When there is no external -stable noise, the stochastic resonance is observed in case of the fractional order less than one certain threshold. By applying -stable noise, the influences of the noise intensity and characteristic exponent of -stable noise on the occurrence of stochastic resonance phenomenon are characterized. We find that the proper noise intensity enlarges the peak value of output power spectrum which is significant for stochastic resonance. Adjusting the noise intensity, the behaviour of signal-to-noise ratio is non-monotonic and with a maximum value. Under the same conditions, the lower value of characteristic exponent of -stable noise leads to the smaller noise intensity to achieve stochastic resonance.
Huanda Lu1, 3, Xin Yu3, Ying Liu2, Kangsheng Liu1
1Department of Mathematics, Zhejiang University, Hangzhou, 310027, China
2Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, China
3Ningbo Institute of Technology, Zhejiang University, Ningbo, 315100, China
In this paper, through simulating and modelling of fish school with different body length, we study the influences of the body length difference of fish school on spatial structure and group behaviour. Based on attraction/repulsion model, we obtain three typical spatial structure of group with different model parameters: mixture structure, periphery structure and front-back structure. Moreover, we analyse the polarization index and average angular speed of group with different model parameters and get the corresponding relationship between these indices and model parameters. The results obtained in this paper coincide with the phenomenon observed in the natural world and the methods provide an effective way to study the fish school behaviour.
Feng He1, Haican Peng2, Kun Yao3
1College of Mathematics, Physics and Information Engineering, Jiaxing University, China
2Computer Science and Engineering, Beifang University of Nationalities, China
3Hanzhong Branch Company of Shanxi Province of China Telecom China
This paper introduces two methods of extension measure based on model checking algorithm of interactive Markov chains (IMC) to decide the software trustworthiness. The first extended measurement is to establish multiple corresponding temporal logic relations for each software trustworthy attribute that affecting software trustworthiness, also is to use multiple temporal logic to describe a software trustworthy attribute, which is aim to measure the software trustworthiness on the multi-level and fine-grained. Then the paper will determine the measurement ultimately. The second extended measurement is to locate for the untrusted states, then find out the detail path and detail parameters of the path. Next, we will get the location that not trusted through further analysis. Eventually meet people’s expectations by improving.
Guancheng Lu, Yanmei Meng, Jian Chen, Zhihong Tang, Xiaochun Wang, Xian Yu
College of Mechanical Engineering, Guangxi University, No. 100, Daxue Road, Nanning, China
Cane sugar crystallization is a non-linear process where multiple control parameters are involved, which makes it rather difficult to reveal its internal mechanism by mechanism modelling. Derived from variants of standard support vector machine method, an online control system modelling method based on multi-input and multi-output proximal least square support vector machine is proposed to be applied in sugar crystallization process. This method takes multiple process control parameters as the input and output of machine learning algorithm, through which the inherent law between key and auxiliary parameters in the sugar crystallization process is established. The ultimate goal is to control the sugar crystallization process automatically. The experimental results show that the accuracy rate of the model output is 95%.
Liping He1, Limiao Qian1, Zijing Wang1, Kai Long2
1Beijing Institute of Radio Measurement, Beijing, China
2State Key Laboratory for Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing, China
In order to investigate a modal analysis of structure with bolted joints, five kinds of finite element models, a solid bolt model, a no-bolt model, a modified bolt model, a beam bolt model and a rigid bolt model, are introduced. Among these models, the solid bolt model, modified bolt model and rigid bolt model provide good accurate responses compared with the modal test results. The solid bolt model, which can also be used for stress analysis, is recommended in view of applicability. The rigid bolt model is recommended in view of usefulness and effectiveness. For bolted flanged connection, the magnitude of bolt pretension has little influence to structural modes. To improve the calculation accuracy of higher modes, a better idea is to modify the finite model by modal test.
Wei Liu1, Zhigang Hu1, 2, Hongtao Liu2
1School of Information Science and Engineering, Central South University, Changsha 410083, China
2School of Software, Central South University, Changsha 410075, China
To detect and eliminate lazy classes in source code, an automatic approach based on abstract syntax trees (ASTs) is proposed. Source code files transform to ASTs at first, then the relationships between classes are extracted from the ASTs. Three common relationships are considered, which are generalization, association and dependency. Some definitions are proposed to represent the classes set of different kinds of relationships. After carrying out several set operations on these sets, the candidate lazy classes set is obtained. By further manual examination, the true lazy classes are acquired. Finally, a specific lazy class will be removed automatically from the project. Four projects are tested to detect and eliminate the lazy classes. The experimental results show that the proposed detection algorithm has high precision rate. In addition, this approach has good efficiency, and its execution time has a linear relationship to the size of a system.
New information multivariable optimization MGM(1,n) model with non equidistance and based on background value optimization
Youxin Luo, Qiyuan Liu, Xiaoyi Che
College of Mechanical Engineering, Hunan University of Arts and Science, Changde, 415000, P.R. China
The function with non-homogeneous exponential law, based on index characteristic and integral characteristic of grey model GM(1,1), was used to fit the one-time accumulated sequence, and the formula of background value was given, aiming at the problem of lower precision as well as lower adaptability in non-equidistant multivariable model MGM(1,n). A new information optimization model MGM(1,n) with non equidistance and multi variable based on background optimization was put forward, took the m-th component of the original sequence as initial condition, the mean relative error as objective function, and the modified one of initial value and the parameters of background value as design variables. This proposed MGM(1,n) model can be used in equidistance & non-equidistance modelling with higher precision as well as stronger adaptability. Examples have validated the practicability and reliability.
Jiansheng Xia1, 2, Shasha Dou1, 2
1Yancheng Institute Of Technology, Yancheng City, Jiangsu Province, China, 224051
2Nanjing University of Aeronautics & Astronautics, Nanjing City, Jiangsu Province, China, 211106
The flange hole forming is a complex process, Under the assumption of Prandtl-Reuss flow rule and von Mises yield criterion, the incremental elasto-plastic large deformation finite element model was established based on the Updated Lagrangian Formulation (ULF).The elasto-plastic conversions of boundary and deformation are reduced with r-min rule. The friction phenomenon of slippage and viscosity at the boundary interface is revised with increment of revision Coulomb rule. The increment rules are led into the whole stiffness matrix, and derived out the stiffness equation. The studies show that the influence on steel elliptical hole flange forming deformation is influenced by punch structure and parameter. The dates show that finite element simulation and experimental result have a good consistency.
Lianhua Hu1, 2, Xinping Li2, Wei Tang1
1School of Shaanxi University of Science & Technology, Xi’an City, Shaanxi Province, China, 710021
2Shaanxi Key Laboratory on Paper Technology and Specialty Papers, Xi’an City, Shaanxi Province, China 710021
Dead-time variation can cause object mismatches in traditional internal model control (IMC) systems and may result in a significant overshoot. The adjustment time may increase due to this variation and sometimes even causes oscillation instability. An adaptive IMC method is proposed in this paper to solve the problem of variable parameters in the control process. The adaptive law is designed to optimize local parameters relative to the output error of both the plant and model, ensuring that the model approximates the real plant. The control structure adopts IMC and simulation results show that this type of control structure exhibits some promising characteristics, such as high accuracy, robustness and disturbance rejection. This model is therefore suitable for systems with large dead-time varying parameters.
Information and Computer Technologies
Research on construction of normative ideological instruction teaching management system based on ZigBee wireless sensor network
Zhejiang University City College, Hangzhou, Zhejiang, 310015, China
In the process of standard ideological and political teaching management, teaching quality management, teacher management, student management and education environment management etc are all very important links. In order to establish and perfect the management system of ideological and political teaching in school, management utility should be developed. And the system optimizing should be comprehensively enhanced in teaching. We are to construct a management system on the basis of ZigBee through wireless sensor, RMON (remote monitoring) of ideological instruction teaching supervision, multimedia teaching and classroom environment management etc. will be designed through coordinating with Go-Ahead technology. The corresponding hardware and software facilities will be designed and developed. The role of wireless sensors in teaching management will be reflected through the image of flow image. Standardized teaching management would be genuinely realized with its advantages of convenience, utility, high efficiency, and energy conservation.
Ning Liu, Cheng Bin
Qingdao Hotel Management College, Qingdao, Shandong, 266100, China
With the improvement of people's living standard, the tourism industry has transformed from the traditional sightseeing tourism to the vacation tourism, In order to improve the quality of the overall experience of resort hotel, the article by using the image acquisition technology, the facial expression recognition technology, the changes of Gabor and the DIB support, VC++ of bitmap provided by Visual Studio, has designed the basic member variables required by bitmap processing packaging DIB and the unrelated CDib of the member function device, and has constructed the facial expression recognition module of the mood regulation system of hotel interior. On the side of audio stream, use PC port as the audio stream scheme of the sound source, in the PC port, separate Av signal, preset the operation and treatment on the end of the playback software, and make self-regulation of sound adjustment in the output end of sound. The highly fidelity of sound has been established.
Wei Yuan1, Jianqi Zhang2
1XianDian Universityr, Shannxi Xi’an 710071, China
2Weinan Normal University Shannxi Weinan 714099
This paper on the basis of deeply understanding the domestic automatic filling equipment’s, develops an eccentric bunghole self-positioning system based on computer vision technology, through full automatic camera calibration and improved Hoff conversion algorithm to obtain the coordinate information of circle centre of eccentric fillers, thus controls the operation of driving stepper motor, realizes the automatic positioning of sprue guns to eccentric bunghole. The experiment proves the operation accuracy of this system is high, the speed is fast, the algorithm is efficient, stable, and a high practical value.
Yutian Liu, Junjie Hu
Faculty of Electronic and Information Engineering, Zhejiang Wanli University, Ningbo, 315100, China
In the last decade considerable research efforts have been spent to the motion of flocking of multi-agent. Special attention has been put in the applications, especially for those operations in real environment where a high degree of safety as well as self-diagnostics capabilities are required. The development of effective strategies of fault diagnosis for flocking of multi-agent is a critical research task. In this paper, the flocking motion of multi-agent with a leader is studied. When flocking in the real environment, it is inevitable for agents to occur faults. The faults occurred in different agent will lead to different effects for flocking. According to the variety of the velocity of agents, the fault types are classified. A fault agent avoidance method is proposed and implemented in a multi-agent flocking system. The simulation results show the method can help the agents to avoid the fault agent.
Quantum public-key cryptosystem without quantum channel between any two users based on the Bell state measurement
Xiaoyu Li, Dai Wang
School of Information Engineering, Zhengzhou University, Zhengzhou City, China
In this paper, a quantum public-key cryptosystem without quantum channel between any two users based on the Bell state measurement is presented. A user Alice shares a set of Einstein-Podolsky-Rosen (EPR) pairs with key management centre (KMC) as the private key and the public key. By performing the Bell state measurement on the public key and the auxiliary qubits any other user can send encrypted message to Alice. On the other hand, digital signature can also be achieved by this public-key cryptosystem. The laws of quantum physics guarantee the unconditional security of this public-key cryptosystem. No quantum channels are needed between any two users. So it is easier to carry out in practice and more robust against possible attacks.
School of Information Engineering, Minzu University of China, No. 27 South Zhongguancun Street, Haidian District, Beijing 100081, China
In this paper, we investigated the end-to-end performance of a dual-hop variable gain relaying system over mixed fading environment. In such environment, the wireless links of relaying system undergo different fading conditions, where one link is subject to the Nakagami-m fading, the other link is subject to the composite Nakagami-lognormal fading which is approximated by using mixture gamma fading model. Based on the cumulative distribution function of the end-to-end signal-to-noise ratio (SNR), some novel closed-form expressions of the average end-to-end SNR, the outage probability, the symbol error rate and the ergodic capacity for the dual-hop variable gain system are derived, respectively. Then, some approximate analysis and the diversity order are found based on the above new expressions in high SNR region. Finally, numerical and simulation results are shown to verify the accuracy of the theoretical analysis.
Xuping Ren1, Haiping Zhang1, Yunfa Li2, Xindong You2
1School of information engineering, HangZhou Dianzi University, Hangzhou, China
2Institute of Software and Intelligent Technology, HangZhou Dianzi University, Hangzhou, China
Because of vast highly sensitive business information within RFID system, there is an urgent need for an effective and secure protocol to ensure the interests of various stakeholders. In this paper, we propose a scalable authentication protocol to provide classification protection. GNY logic formal approach is used to verify the design correctness of the protocol. The performance is evaluated and compared with other related protocols in three aspects: storage, computation requirement and communication overload. The analysis shows that the proposed protocol need less computation requirement and memory with acceptable communication overload. The conclusion indicates that the protocol is reliable and more scalable in RFID-based sensor systems.
Jian Wang1, Le Wang2
1College of Computer and Information Engineering, Henan University of Economics and Law, China
2SIAS International University Zhengzhou, China
With the development of cloud computing application, more and more people would like to do business under this environment. But more attention should be paid to the disclosure of privacy during the transaction. Customers will reject to do business on the cloud platform if the cloud environment cannot avoid disclosing their private data. Nowadays, little work has been done about how to prevent sensitive attributes leaking between service providers. Therefore, this paper proposed a new anonymity-based protocol to protect privacy.
Xingchen Li1, Shenglin Li2, Heng Zhang2, Hui Cai1
1Graduate school, Logistical Engineering University of P.L.A, Chongqing, China
2Department of Information Engineering, Logistical Engineering University of P.L.A, Chongqing, China
A core technology in IOT (Internet of Thing) is data processing and there may be a mismatch between data collection and data interface. Aiming at data conflicts in the DCMCS (Digital Camp Management Control System), this paper defines data conflicts with formal description and divides the data conflicts of the DCMCS into six types. For each type of the data conflicts, a resolution strategy is designed to solve it. Then the paper designs the DCRS (Data Conflict Resolution System) to detect and resolve the data conflicts automatically and quickly. The solutions provide technical support for data interaction, which have been successfully verified in the DCMCS.
Peng Wang, Yan Qi, Hua-min Yang
School of Computer Science and Technology, Changchun University of Science and Technology, Changchun, China
With the rise of the Internet web2.0 and the arrival of the era of big data, NOSQL database has already developed rapidly. The traditional relational database in the treatment of high concurrent Web2.0 pure dynamic website and large-scale data encountered bottleneck. This paper introduces the concept of NOSQL database and data storage model. Taking the HBase database as an example, it describes the system structure and data model of HBase, and it demonstrates data query efficiency of the HBase database which is superior to the relational database. In view of the HBase database storage mechanism, the HBase database and MySQL database for performance, which is proceeding comparison, the result shows that NOSQL database performance in processing large data has obvious advantage over the traditional relational database.
Xiaoli Wu1, 2, Yating Ying1, Feng Zhou1, 2
1College of Mechanical and Electrical Engineering, Hohai University, Changzhou, China
2Institute of Industrial Design, Hohai University, Changzhou, China
In the design of information symbols in human-computer interface, one meaning usually has several design forms. In order to solve cognitive deviations generated during information exchange, in the paper, we tested the recognition rates of common information symbols. The testing results indicated that users under different cultural backgrounds showed significant differences in information symbol cognition. Users prefer to clear and concise information symbols. Users are inclined to understand the surface meaning of information symbols. Through the study of the recognition rates of typical information symbols, we established the perceptual confusion models of information symbols. Based on different models, designers can improve cognitive deviations of existing symbols and design information symbols, which are consistent with user cognition, for reasonable human-computer interaction.
Yan Zhao1, Suyu Dong1, Jing Yang2
1College of Management, Inner Mongolia University of Technology, Huhhot, China
2College of Mechanics, Inner Mongolia University of Technology, Huhhot, China
With the rapid development of the Internet technology and news media, people pay more attention on news especially about commodity price fluctuation. Hence, more and more Chinese news comments about commodity price fluctuation appear on Internet. These comments contain all kinds of sentiment. Analysing the sentiment of these comments will make government know more about Netizen emotion on this information and enhance efficiency of management, which has important practical significance. In this paper, we adopt three supervised learning methods (naive Bayes, maximum entropy and support vector machines) to automatically classify user comments as two classes (positive and negative). Through a lot of experiments, we found that machine learning techniques perform quite well in the domain of commodity price fluctuation news comments sentiment classification. Meanwhile, the effects of the feature representations and dimensions for the classification of the three machine learning techniques are analysed and discussed in detail. Experimental results show that maximum entropy classifier is best overall. Frequency is a better method of feature representation, which can use fewer features to get better result.
Chongqing City Management College, China Chongqing, 401331
Intelligent transportation system (ITS) has gradually become reality with the increasingly wide application of GPS in car navigation system. It is wider and wider applied into traffic management to support short-tern traffic prediction, provide the information for public travel rapidly and effectively and realizes the effective supervision on traffic state. It can also relieve the pressure of highway road in our country. This paper focused on the study of floating car data technology based on GPS in ITS and developed relative procedure based on algorithm theory. It designed out a solution suitable for highway real time road condition system based on GPS floating car data technology after the demand analysis, functional decomposition and concept design on highway real time road condition system and best road and shortest time selection on driving by mathematical modelling so that achieve highway road optimization.
Jianping Qiu1, Lichao Chen1, Guifang Chen2
1Institute of Computer Science and Technology, Taiyuan University of Science and Technology, Taiyuan 030024, China
2Computer Science and Technology Department, Taiyuan Normal University, Taiyuan 030012, China
Information propagation network analysis provides a new way to investigate online activities. From the perspective of information propagation analysis we can understand it in a constant evolving way, that is, the content of the information is modified by the netizens with a certain probability during the whole propagation process. By analysing the online behaviour of netizens, we constructed an information propagation network on social networks. In this paper, we found that the original information can keep its influence on the netizens only when most of them are forwarders. Meanwhile this paper reveals influence propagation is aggregated, for example, netizens tend to give a low rating after a low rating, as well as a high rating following a high rating. Our findings are helpful in better understanding information propagation.
Peng Pan, Xiaojun Cai
School of Computer Science and Technology, Shandong University, Jinan, P R China
As the problem of uncertainty for duplication is increasingly prominent with the sharp growth of amount and scale for data sources, we need to pay more attention on it. However, the research on uncertainty about duplicated data is still on its start. In this paper, we propose a complete method for duplication detection with probability, which is efficient and suitable for large-scale dataset. Considering the large-scale background, firstly, we adopt the rapid cluster algorithm based on canopies to get blocks. Secondly, in order to generate the record sets, which represent entity, we provide one fuzzy cluster method over each block by assigning two thresholds. By doing these, we balance the complexity and accuracy. Finally, we assign the probability for each record in one block. The experiments show advantages over other present algorithms for performances.
Hsin-Ke Lu, Peng-Chun Lin
Institute of Information Management, School of Continuing Education, Chinese Culture University, Taipei, Taiwan (R.O.C)
Information systems (IS) development has been one of IT managers’ concerns for decades. To improve the effectiveness of IS development, many studies argued that development methods need the continuous learning mechanism to better utilize the knowledge along with all development stages. In this study, we discoursed the essential important of organizational learning for development team to deal with the complexities of IS development. The development team failed to learn from the experience in prior IS development projects because of limits of individual learning. Knowledge management concepts are gradually mature and will be fundamental theories to integrate the organizational learning mechanism into IS development. This paper illustrated all related literature and theories and proposed an organizational learning framework for IS development. The framework could aid the development team to recognize the value of organizational learning in the IS development activities and guide for devising the mechanisms for acquiring, maintaining and transferring that knowledge.
Computer School, China West Normal University, Shida Rd. 1, Nanchong, Sichuan, China
A fast and adaptive face and facial feature localization algorithm for colour images with sophisticated background is present. In this algorithm, a self-adaptive pre-processing method was provided to depress the colour bias and the high light. Then the CbgCbr-YIQ dual skin model was proposed to acquire the integrated skin similarity for improving the quality of skin segmentation and extraction. After the morphological post-processing, by using the Adaboost classifier and the information of spatial position, the facial feature positioning was fast realized finally. Experimental results showed the robustness and good performance of the proposed algorithm.
Xiaolei Sun, Ning Huang, Jian Zhou, Yue Zhang
School of Reliability and Systems Engineering, Beihang University, 100191, Beijing, China
Tactical network is a cooperative engagement of a collection of mobile nodes without the requirements of any centralized access points or existing infrastructures. Its connectivity is very crucial. Thus, the calculation of network's connectivity reliability has great significance to further research of tactical network. At present, the study of network is mainly through analytical methods. Those methods build abstract models alone without considering the transmission characteristics and terrain environment of a tactical network. Meanwhile, the existing simulation methods like Monte Carlo, is too abstract and simple. The OPNET simulation can solve the above problems better. In this paper, we analysed the related characteristics of tactical network and designed tactical network connectivity calculating algorithm based on the OPNET simulation. Through the algorithm, we take the transmission and environment features into consideration. As a result, we analysed the effects of wireless transmission characteristics, mobile models and terrain environment on network two-terminal reliability in specific cases.
Jian-Feng Zheng, Ji Zhang
School of Information Science and Engineering, ChangZhou University, ChangZhou 213164, China
As one of the state-of-the-art tracking methods based on sparse coding, l1-tracker finds the target with the minimum reconstruction error from the target template subspace. But the high computational costs restrict its application in practical terms heavily. In this paper, we incorporate the discriminant information into original l1-tracker, and introduce it into the tracking framework, called FD2LT. In our framework, tracking is considered as a problem consisting of object location with dictionary learned in the last frame in generative tracking framework, training samples selection, and dictionary learning with fisher discriminant dictionary learning (FDDL). With our method, the dictionary is much smaller than that in original one, moreover, without loss of tracking performance (and even better in some scenarios). The discriminant power explored from the dictionary is used in generative tracking. Experimental results demonstrate the effectiveness and efficiency of the proposed tracking algorithm.
Jingfei Cui1, Jinlin Wang2, Zhen Zhang3
1National Network New Media Engineering Research Center, Institute of Acoustics, Chinese Academy of Sciences & University of Chinese Academy of Sciences & Academy of Broadcasting Science, Beijing, 100190, China
2National Network New Media Engineering Research Center, Institute of Acoustics, Chinese Academy of Sciences, Beijing, 100190, China
3School of Electronic Engineering and Computer Science, Peking University, Beijing, 100871, China
HINOC (High performance Network Over Coax) is Coaxial cable access technology with independent intellectual property rights in China. In the structure of network management software, network topology discovery and maintenance plays an important role in the system. By analysing the traditional algorithms of topology discovery, this paper introduces an algorithm based on SNMP trap and polling. On the basis of test results, the algorithm which has been implemented in HINOC proved to be reliable, efficient and with low-burden.
Zhiding Chen, Qilun Zou, Qian Liu
College of Hydraulicand Environmental Engineering, China Three Gorges University, Yichang 443002, China
The proposed evaluating method based Cloud Model and Gray Relational Degree aims to solve the fuzziness and randomness problems of evaluation methods and the outcome efficiently. Cloud model is implemented to convert qualitative concept into quantitative value based index system. Gray Relation Degree theory is implemented to access to evaluation index weights.
Qiang Fan1, 2, Dongjian He1, Min Zhang3
1College of Mechanical and Electronic engineering, Northwest A&F University, Yangling 712100, Shaanxi, China
2College of Water Resources and Architectural, Northwest A&F University, Yangling 712100, Shaanxi, China
3College of Science, Northwest A&F University, Yangling 712100, Shaanxi, China
Aiming at disadvantages of current wireless sensor network in the aspect of image acquisition, this thesis proposes a WSN image acquisition method based on Interleaving Extraction and Block Compressed Sensing (IE-BCS). The method uses interleaving extraction to divide an original image into several sub-images at an encoding terminal, then compressive sampling and encoding for each sub-image by means of observation matrix weighted BCS and transmits data to a decoding terminal by their own independent channels. Next, the decoding terminal chooses corresponding decoders according to reception situations and reconstructs the original images by solving sparse optimization problems. Experimental results show that the method can save hardware resources effectively and improve robustness of image transmission.
Yuansheng Wang, Huarui Wu, Lei Luo, Weihong Ma, Kun Liu
1Beijing Research Center for Information Technology in Agriculture, Beijing 100097, China
2Key Laboratory of Agri-informatics, Ministry of Agriculture, Beijing 100097, China
The typical crop is an important part of regional economy, using of information technology tools to enhance the fine management of typical crop, improve the efficiency and level of agricultural production will play an important role to promote regional economic development. The Internet of things technologies can provide conditions for precise management of crop, but it will also lead to new technical application difficult problems, focusing on the storage and processing problem of the ”real time, high frequency, mass, rapid growth” monitoring data of the crop growth environment, this paper put forward a network management and scheduling method for massive data based cloud storage technologies to solve the large data storage and concurrently access bottlenecks of the traditional relational storage, and provided good technical conditions for the typical crop production management.
Wangcheng Cao, Lin Zheng, Kuiling Dong
School of Engineering, Mudanjiang Normal University, Mudanjiang 157011, Heilongjiang, China
Filtering is an important research direction of image processing. In view of the characteristics of image noise, an adaptive image filtering algorithm is proposed based on the improved Alpha-trimmed mean algorithm. The algorithm dynamically selects parameter d of Alpha-trimmed mean algorithm through the calculation of the pixel correlation within the filter window, so that the algorithm can filter accordingly with the degree of noise. The experiment results show that the filtering effect of the proposed algorithm is excellent for the images corrupted by Gaussian noise, salt and pepper noise or mixed noise, and this algorithm is also capable of maintaining the detailed information of the original image.
Operation Research and Decision Making
Optimal interpolation data assimilation of surface currents by utilizing pseudo measurement with Monte Carlo simulation
Lei Ren, Stephen Nash, Michael Hartnett
1Department of Civil Engineering, National Univerisity of Ireland, Galway, University Road, Galway, Ireland
2Ryan Institute, Galway, Ireland
Optimal Interpolation (OI) data assimilation is a technique to combine available observations with background states to improve prediction states. In this research, pseudo measurement of surface currents generated by adding noise with Monte Carlo simulation is used to update the background states with optimal interpolation. The core of Optimal Interpolation data assimilation is the definition of background error covariance, which determines to what extent the model background states will be corrected to match the observations. The background error covariance is computed before the data assimilation process. The model background errors are calculated from the mean over a short time interval ten minutes. A series of sensitivity tests with Optimal Interpolation are done by calculating Root Mean Square Error (RMSE) to decide the appropriate parameters. The improvement of Optimal Interpolation at reference points is measured in Taylor diagrams, and the surface current maps of test domain show the effectiveness of Optimal Interpolation.
Logistics outsourcing and selecting of logistics service provider of the e-commerce companies: a fuzzy TOPSIS approach
Yanwen Wang, Xiuju Gao, Liming Yang
College of Finance, Hebei Normal University of Science & Technology, Qinhuangdao, Hebei, P. R. China
Logistics outsourcing has become the development trend of enterprise logistics operations. A good logistics service provider can improve the customer satisfaction, as also as reducing the cost of the whole supply chain, so it is very important to evaluate the logistics outsourcing service for the corn companies in the supply chain. This paper is an attempt to identify the main factors of selecting satisfactory logistics service provider of the electronic commerce (e-commerce) companies in China. GRA and Fuzzy TOPSIS are employed to evaluate the service of the logistics companies. The managerial implications are also discussed in the last section.
Dong-min Xu, You-fang Huang, Bin Yang
Logistics Research Center, Shanghai Maritime University, 201306, China
The significance and stochasticity of node have an effect on logistics network activity. This paper describes the importance of node by integrating the node neighbourhood information, which relates to the neighbourhood arc energy consumption and node degree which shows the node connectivity in logistics network, and during which this paper introduces the parameter to represent the preference degree of energy consumption. This paper develops a multi-objective model seeking to energy consumption minimization and reliability maximization in the light of node stochasticity and the influence of node importance. The MPs (Minimal Path Set) is employed during the process of modelling. Genetic algorithm is applied to solve this model and a numerical experiment is presented to demonstrate the effect of significance and stochasticity of node to logistics path choice and flow assignment.
Yang Zhao, Jie Tan
School of Economics & Management, Beijing Jiao tong University, Beijing 100044, P.R. China
As a part of knowledge management research, this paper focuses on knowledge transfer within strategic alliances and attempts to classify the basic models of knowledge transfer that actually take place within SA so that get to know on how partners chose the most suitable knowledge transfer model in SA. This paper presents four kinds of knowledge transfer model in strategic alliances by summing up the outcome of research on this issue. Based on the conclusion, this paper then discusses the correspondence between the types of the strategic alliances and choosing these knowledge transfer models and five corresponding propositions about the issue is given at last.
Power transformer diagnostic prediction research based on quantum neural networks and evidence theory
Qiang Song1, Ai-min Wang2
1School of Mechanical Engineering, Anyang Institute of Technology, Henan, Anyang City 455000, China
2School of Computer and Information Engineering, Anyang Normal University, Henan, Anyang City 455000, China
Aiming at the fault of power transformer fault information diversity and uncertainty, a large amount of data and no regularity characteristics, a new fault diagnosis method of quantum neural network based on information fusion. In order to accurately and effectively identify transformer fault model, combining the quantum neural network and evidence theory combination of transformer fault diagnosis. A quantum neural networks to collect data on the macroscopic, microscopic quantum corrections in the interval of fuzzy intersection data according to a certain proportion of the rational allocation of the associated mode, so as to improve the accuracy of pattern recognition; use of the evidence theory can improve the convergence speed of quantum neural networks. The results were compared with the diagnosis and BP neural network input, that this method has a higher accuracy in transformer fault pattern recognition.
Nan Ma1, Yun Zhai2, Bingru Yang3
1College of Information Technology, Beijing Union University, 100101, Beijing, China
2E-Government Research Center, Chinese Academy of Governance, Beijing, 100089, China
3School of Computer and Communication Engineering,University of Science and Technology Beijing, Beijing 100083, China
Fuzzy Cognitive Map as a generally recognized intelligent tool has been widely used in the data mining and the machine leaning fields. This paper reviewed the present research situation of Fuzzy Cognitive Map at home and abroad in recent years. Firstly, it reviewed the development progress of Fuzzy Cognitive Map with its advantage over other fuzzy learning methods, followed by the research papers indexed by EI database, ACM database and the SCI database. Then it summarized the classification and the learning methods of Fuzzy Cognitive Map. Furthermore, the applications of Fuzzy Cognitive Map are analysed finally. We hope our work help the people to have a general understanding and push the Fuzzy Cognitive Map forward.
School of Management, HeFei University of Technology, Anhui PR China
Anhui finance & trade vocational college, Anhui PR China
This paper intends to work out an expected inventory level formula for the retailer in the two-stage supply chain. It aims at disclosing the quantitative relationship between bullwhip effect and expected inventory level and does analysis of simulation experiment. The model supposes the market demand faced by the retailer follows the autoregressive process AR(1) and that the retailer makes anticipation of the market demand during the replenishment lead time by mean square error method. Moreover, if the interference factor follows normal distribution with mean 0 and variance σ2, market demand in every period, demand estimation during the replenishment lead time and the order quantity made by the retailer are all proved to follow normal distribution.
School of computer engineering, Weifang University, 261061, Weifang, China
With the diversified and personalized commodity requirements as well as small batch dispatch and frequent dispatch features under the circumstance of E-commerce, the environment for logistics dispatching system becomes increasingly complicated and the inter-influence between different subsystems in logistics system optimization becomes increasingly significant. As a result, judged from the aspect of logistics system integration, after taking customer’s personalized dispatching time into consideration, it’s necessary to establish location routing problem with changeable softtime windows model. Based on the feature of the model, this paper adopts hybrid genetic simulated annealing algorithm to gain solution. The experimental result shows that this algorithm is much better than gaining solution solely by adopting hybrid genetic algorithm or simulated annealing algorithm in the aspect of optimal solution, solution quality, calculating efficiency and algorithm stability.
Foreign Languages School of Anhui Polytechnic University, Wuhu, Anhui 241000, China
Network information technology affects English language learning mode all the time with the rapid development of information technology. University English course teaching also turns from traditional classroom to modern network teaching. As a bran-new teaching form, university English teaching brings not only advantage for classroom teaching but also impact on teaching idea, teaching means, teaching pattern, etc. It breaks through the ecological balance of traditional university English course and affects the successful implementation of teaching reform mode. Aiming at improving university English course teaching quality and perfect teaching reform mode, this paper studied new English teaching means based on computer network technology, analysed imbalance of university course teaching in teaching reform mode and then strove to construct a frame of ecologicalization university English course teaching.
A research about the predictive control of dynamic feedforward neural network based on particle swarm optimization
Lizheng Liu1, 2, Fangai Liu2, Feng Yang1
1Shandong University of Finance and Economics, Jinan, Shandong Province, China
2Shandong Normal University, Jinan, Shandong Province, China
The paper proposes the Dynamic Feedforward Neural Network based on Hidden Particle Swarm Optimization (HPSO-DFNN) to deal with the model predicative control problem of unknown nonlinear delay systems. It realizes quick, precise system modelling for controlled objects. Besides, the Smith predictive double controllers are designed to separate fixed set point control from external disturbance. The DFNN based on large-scale PSO is treated as an identifier and a predictor for the complex controlled objects with the purpose of increasing the robustness of the control system. Furthermore, aiming at the problem of constrained multi-input-multi-output (MIMO) model predictive control, rolling optimization is conducted to obtain controlled quantity through the PSO algorithm. After that, a combined neural network structure is put forward and applied to system modelling. Finally, the paper uses the typical nonlinear model to verify its effectiveness.
Min Liu, Jing Cao, Yanru Xue, Yinghua Yao, Xuezuo Zhao
Hebei Normal University of Science & Technology, Hebei, 066004, China
Remote education is a way of developing education-teaching activities, which transmits outstanding teaching resources to massive students scattered in different time and space by the Internet, satellite and other methods of communication technologies. The Internet is the most convenient way to participate in distance learning. This paper applies B/S three-layer architecture and ADO data access technology to complete the design of the remote online education information system based on Web. The system according to the actual business needs of remote education, carry on the design based on the role of application and division of the task, and it composed of modules of courseware on demand, online management, online examination, online exercise, teacher management, student management, etc.
A research on the intelligent multi-objective optimization problem based on wavelet theory and neural networks
Department of Mathematic and Computational Science, Langfang Teachers University, Langfang 065000, China
Aiming to solve the multi-objective optimization problem caused by wavelet multiresolution a1nalysis (MRA), the thesis improves the original multi-objective non-dominated genetic algorithm. After fast non-dominated sorting, the evolution of population is achieved through particle swarm optimization (PSO). In this way, the thesis realizes a more effective, organic combination of the multi-objective optimization problem and neural networks. MRA is a natural fit for the multi-objective optimization problem. The ability of neural networks to deal with complex errors is improved through error decomposition based on different wavelet decomposition scales.
School of Economics & Management, Fuzhou University, Fuzhou, Fujian, 350116, China
Under the conditions of modern market economy and the increasing pressure of competition, a growing number of product life cycles are getting shorter, customer demand is constantly changing, this force the companies began to pay attention to their own internal management and supply chain management. Supply chain refers to the suppliers, manufacturers, distributors and end-users, and the network, which design both directions of material flow, information flow and capital flow . In order to manage and use it better, People put network information technology in supply chain management, developed or purchased ERP implementation systems software, thus can share information between departments and enterprises. But problems have gradually exposed, faster access and processing does not produce a good decision automatically. So this paper under the premise of uncertainty, started studying supply chain’s network model, establishing optimization model, design algorithms, therefore reducing the total costs, to avoid risks.
An empirical study on China listing corporation industrial-financial combination based on the regression method
Zhiming Wang1, 2, Shuzhen Zhu1
1Glorious Sun School of Business and Management, Donghua University, Shanghai, 200051, P R China
2Shandong Iron and Steel Co., Ltd. Laiwu Branch, Laiwu, 271104, P R China
This paper takes Chinese listing corporation as research samples to find the best combination area or point about the industry-finance combination on enterprise operating performance. Research on the combination of behaviour impact is carried out through EPS, RPE, ROE, Tobin Q four indicators. The paper is mainly using the nonlinear regression method based on steel listing corporation annual data from 2005 to 2008. Experiments show that the relation by EPS, RPE and Tobin Q meeting the cubic function curve is significant; the relation by ROE meeting the curve function is not significant. In a certain stage of development of the enterprise the appropriate industry-finance combination area or ratio exists, but the ratio of each index is different.
Xiuli Li1, Yuhong Zhang2, Sujuan Zhao1
1College of finance, Hebei Normal University of Science & Technology, Qinhuangdao, Hebei, P.R. China
2College of education, Hebei Normal University of Science & Technology, Qinhuangdao, Hebei, P.R. China
Human resources is one of the key indexes in measuring the competitiveness of en enterprise. However, evaluation of enterprise human resource competitiveness, evaluation index system and evaluation model remain a problem in academic and practice. Nowadays, key factors in evaluation of enterprise human resources competitiveness and evaluation index are incomplete and imperfect, and processing methods of corresponding evaluation index is not scientific. Thus, studies on analysis model of enterprise human resource are of great importance. In this paper, an improved grey correlation analysis model of human resource competitiveness was put forward. This model provides relative restrictive factors in analysis of enterprise resource competitiveness, and analysed enterprise competitiveness from the aspects of human resource quality competiveness, market development competiveness, management quality competiveness, etc. and evaluation analysis based on improved grey correlation analysis method was conducted. Its evaluation result can be a basis of selection of human resource developing strategies for direction and of frame of decision-making. Finally, the model and algorithm was proved feasible by implementation of actual case.
Qiaojuan Feng, Yongjiao Wang
Henan University of Urban Construction, LongXiang Road, Pingdingshan City, Henan Province, China
As there is a priority in multiple design transaction and multiple design roles in the distributed design traction, this paper studies the distribution hierarchy of collaborative design roles and proposes a membership degree algorithm based on grey related analysis. In this algorithm, design constraint degree about the design roles is acquired through grey related analysis. Under different design constraint degree, design roles and incidence coefficient are acquired together with corresponding matrix. Then the membership degree can be available by the constraint degree and the matrix. Empirical test proves the efficacy and practicability of this algorithm.
Qilu University of Technology Jinan, China
In order to improve the incremental learning algorithm Actor-Critic learning efficiency, from a policy learning, introduce experience sample data into incremental Actor-Critic algorithm, make effective use of the useful information contained in the sample data of experience in the learning process. Given the recursive least-squares temporal difference, RLSTD (λ) algorithm and incremental least-squares temporal difference, iLSTD (λ) algorithms are able to make good use sample data collected in the past, respectively RLSTD and iLSTD algorithm is applied to policy evaluation Critic’s. Then, Critic learned value function based on RLSTD or iLSTD algorithm, Actor gradient update strategy based on conventional parameters, so the improvement of Critic effectiveness assessment will help Actor to improve strategy-learning performance. Finally, simulation studies on two control problems with continuous state space, analyse the impact of different parameters on the performance of the learning algorithm and verify its effectiveness.
Research of deep packet inspection technology in industry control systems based on d-Left counting bloom filter
Kehe Wu, Yi Li, Long Chen, Fei Chen
Department of Control and Computer Engineering, North China Electric Power University, 102206 Beijing, China
Aims at the problem of industry control system logic being tampered by malicious programs, this paper proposed a deep packet inspection model for industry control systems. It adopts d-Left Counting Bloom Filter to implement string matching of characteristic database, which has a higher matching efficiency and lower misjudgement rate compared to other algorithms. This model can monitor malicious behaviours in industry control systems effectively and can basically meet the demand of security and reliability in current industry control systems.
Study on configuration sequence of indemnificatory community public service facility based on MIV-BP Neural Network
Tianyan Wu, Jianjun Zhan, Wei Yan
School of Urban Construction and Safety engineering, Shanghai Institute of Technology, Shanghai, China
China is seeing large-scale construction of indemnificatory community being. Yet due to lack of dynamic planning and arrangement in advance and little consideration of public service facility configuration sequence, the configuration of public service facility in indemnificatory community is lagging behind and inefficient, failing to attract the residents to move in the community. This paper structures the MIV-BP Neural Network Model, and gives an empirical analysis on the influence sequence of the indemnificatory community public service facilities to the population occupancy rate. The results suggest that the configuration of public service facility in indemnificatory community should be sequentially configured in period and in grade according to the community’s specific present situation and developmental conditions as well as the continuous increase of population occupancy rate.
Caixian Chen1, 2, Huijian Han2, Zheng Liu1, 2
1School of Computer Science and Technology, Shandong University of Finance and Economics, Jinan 250014, Shandong, China
2Shandong Provincial Key Laboratory of Digital Media Technology, Shandong University of Finance and Economics, Jinan 250014, Shandong, China
KNN (K-Nearest Neighbours) algorithm is a classification algorithm that can apply to question classification. However, its time complexity will increase linearly with the increase of training set size, which constrains the actual application effects of this algorithm. In this paper, based on a discussion of disadvantages of traditional KNN methods, an improved KNN algorithm based on Apriori algorithm was proposed. This method extracts the frequent feature set of training samples of different categories and the associated samples. Next, on the basis of correlation analysis of each category of samples, a proper nearest neighbour number k was determined for an unknown category of questions. In the training samples of known categories, k nearest neighbours were selected. And then, according to the category of nearest neighbours, the category of unknown question was identified. Compared with the question classification method of traditional KNN, the improved method could efficiently determine the value of k and decrease time complexity. Our experimental results demonstrated that the improved KNN question classification method improved the efficiency and accuracy of question classification.
Qin Yang1, Changyao Zhou2
1School of Business, Sichuan Agricultural University, Dujiangyan 611830, Sichuan, China
2School of Resources and environment, Sichuan Agricultural University, Wenjiang 611130, Sichuan, China
Real-world predictive data mining (classification or regression) problems are often cost sensitive, meaning that different types of prediction errors are not equally costly. In this paper we propose a new algorithm for cost-sensitive classification in a multiple time series prediction problems. The fitness function of the genetic algorithm is the average cost of classification when using the decision tree, including both the costs of tests (features, measurements) and the costs of classification errors. The proposed model is evaluated in a real world application based on a network of satellite network map distributed in land spatial pattern evolution in Chengdu Plain. These satellite networks generate multiple time series data representing land spatial pattern. This study presents a new algorithm for cost-sensitive classification that deal with class imbalance using both recompiling and CSL. The method combines and compares several sampling methods with CSL using support vector machines (SVM). We build our cost-benefit model for the prediction process as a function of satellite network in a distributed land spatial and measured the optimum number of satellite network that will balance the expenses of the system with the prediction accuracy.
Shenyi Qian, Yanling Zhu, Shen Li
School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou 450002, Henan, China
Medical quality evaluation is the key and important link of the current medical institutions improve the core competitiveness, considering the characteristics of the medical industry, the paper constructs the surgical and non-surgical medical quality evaluation index system. In addition, the traditional medical quality evaluation in determining the index weight coefficients are too single, it is easy to cause the subjective assessment results too much or the accuracy is not high. Therefore, the paper using the Analytic Hierarchy Process (AHP) for subjective weight and using the Rough Set (RS), then get them together and put forward an approach of medical quality evaluation method based on combined weight, this method absorbs the advantage of them and overcomes the disadvantages of them and achieve the complementary advantages. Finally through the case analysis, verifying the feasibility and effectiveness of the method.
Xuejing Du, Huanhuan Guo, Zhanyu Wang
Institute of Transportation, University of Northeast Forestry, 150040, Harbin, China
The goal of this study is to obtain accurate human dimension of current Chinese shape. Anthropometric data of adult male in GB10000-88 is adopted as sample observation data in this paper. Based on similarity theory of human body and the correlation of human body static dimensions, by statistical analysis of the sample date, the regression equation is established which determines the relationship between measurement of each part of the male body and height, weight. The maximum measurement error is within 5% by comparing the measurement data with calculating dimension data obtained by regression equations established in the paper, which verifies the rationality and accuracy of the regression equations. Once parameters of height and weight are given, the regression equations can quickly and easily provide effective body dimensions data used to build crash simulation model specifically for Chinese and man-machine product.
School of Management, Wuhan University of Technology, Wuhan, Hubei, China
The leading innovation strategy is one of the important methods used to rescue failed product innovation projects. Rescuing failed projects based on the leading innovation strategy, rescuing time and points of competitors participating in the market can affect the probability of success. The established mathematical economic model can be used to analyse the cost of rescuing failed product innovation projects and income when competitors participate in the market in the introduction period, growth period, or mature period. The model can also be used to determine the feasibility of the leading innovation strategy and measures that enterprises should take to obtain greater profits under different competitive environments.
Mechanism of formation in the selling price of urban industrial land in China based on the multi-attribute auction theory
Jian-gang Shi, Jin-can Liu
Yuntong Building 509, School of Economics & Management, Tongji University, 1239 Siping Road, Yangpu District, Shanghai China, 200092
There is the fierce competition for investment introduction among local governments in China. Thus, the auction relationship about urban industrial land belongs to a kind of reverse auction between local government and investment enterprise. To explore the mechanism of formation in the selling price of urban industrial land, we build a multi-attribute first-score sealed-bid auction model. Our studies reveal that the selling price of urban industrial land is the decreasing function of local government’s expected comprehensive earnings from the investment introduction, the intensity of competition for investment introduction among local governments or its cost factors of providing some attributes. However, it is the increasing function of enterprise's weights for different attributes. They appropriately explain why the selling price of urban industrial land has been at the low level for a long time in China. Yet, the comprehensive earnings and the realization of land asset value are not a pair of irreconcilable conflicts. Local governments should prioritize the attributes, which the investment enterprises care about, then reduce the cost of providing these attributes. In the end, it will resolve the interest conflicts in the process of industrial land operation.
School of Qingdao Huanghai College, No.3111, Ling Hai Road, Qingdao Shandong Province, China
In recent years, Qingdao faces inflationary pressure along with the fast development of economy. The urban consumer price index (CPI) is an important measure of regional inflation level. Thus, analysing the influencing factors of the CIP and determining the key factors is necessary to supply scientific evidence for the economic management departments to adjust the industrial structure. This paper filtrates and eliminates six indexes likely to affect urban CPI of Qingdao based on Studentized residual, correlation analysis, and multiple collinearity diagnosis. This paper also performs a statistical analysis of the urban CPI of Qingdao from 2005 to 2012 and draws the conclusion that food price is the largest index that affects CPI. Basing on this conclusion, corresponding prediction models are established to supply statistics for departments that adjust the economy for the future.
Reliability and safety verification of the new collision avoidance strategy for Chinese train control system
Junting Lin, Xiaoming Wang, Jianwu Dang
School of Automation & Electrical Engineering, Lanzhou Jiaotong University, Anning West Road, Lanzhou, China
Although equipped with comprehensive and complex technologies on the railway to avoid collisions between trains, such as train control system extensively deployed in the infrastructure, there are still enormous amount of collision between trains. The safety of railway operation mainly depends on the correct operation of the interlocking and train control system, because only the control centre has an overall overview of the traffic situation, and a train driver could only be warned of a possible collision if the operation centre decides it. Experiences from the aviation, the maritime navigation and road transportation have shown that the probability of collisions could be significantly reduced with infrastructure-less collision avoidance system. In this paper, an enhanced safety strategy, namely, Collision Avoidance System overlay Train Control System (CASOTCS) for Chinese railway was provided, which was based on direct vehicle-to-vehicle communication and independent of the regular control mechanism. CASOTCS can receive and evaluate the information broadcasted by other neighbouring trains all the time, which will trigger collision alert and provide a solution for the collision when a potential collision is detected. The unit architecture and its key issues of CASOTCS were also discussed. After the analysis of reliability and safety of both the traditional train control system and the enhanced CASOTCS, the reliability block diagram and isomorphic Markov model were established in the paper. Through the calculation of the indexes of the reliability and safety about the two kinds of control systems, a significant conclusion has been made, that is, the reliability and safety of the train control system plus collision avoidance system are much higher than that of the traditional one and CASOTCS has the ability to increase the reliability, safety and efficiency in the future.
Yun-jun Yu, Yun-tao Xue, Sui Peng, Chao Tong, Zi-heng Xu
College of Information Engineering, Nanchang University Xuefu Rd. 999, Nanchang, Jiangxi, 330031, China
It is of great significance to research PV forecasting techniques for mitigating the effects of the randomness of the Photovoltaic output. This paper analyses many factors from PV which impact photovoltaic output and extracts the main factors, forming sample data combined with the historical database generation data from PV monitoring system. And an error correction SVM method (ECSVM) is used to calculate the open integration of photovoltaic power storage system in advance or after the time in order to try to eliminate the system error between the predicted and actual values. At the same time, using genetic algorithm to optimize kernel function parameter and the error penalty factor and other parameters in this model, the establishment of the GA-ECSVM model improves portfolio optimization model parameter prediction accuracy and efficiency of the selected type. Finally examples verified and compared with standard SVM methods and ECSVM method, predicting effects show that: The GA-ECSVM optimization model presented in this paper has better learning ability and generalization ability in the short term prediction of photovoltaic power generation, with the prediction accuracy of 95.2016%.
Wensu Xu, Leilei Wang
Qingdao Hotel Management College, Qingdao, Shandong, 266100, China
Hotel management become much important with the increase of services of hotel. And the traditional hotel management pattern have not adapted to the modern hotel management. Therefore, management with high-tech technology is needed in modern hotel. Computer application can well solve management mode of modern hotel and improve the service level of hotel. With the development of IT technology and hotel industry, current hotel management have developed into a new age and new systematic development direction emerges constantly. This paper mainly discusses the application value of computer technology in hotel management. And it illustrates the importance of computer technology in hotel management by explaining the systematic design and implement of hotel management.
Nature Phenomena and Innovative Engineering
N P Pravednaya, S F Baranova
K.D.Ushinsky South Ukrainian National Pedagogical University, Ukraine, Odessa, Staroportofrankovskaya 26, 65020
Theoretical study of anisotropy changes of crystal structure in Al alloys as a result of senescence is performed. The appropriate model is developed that allowed to explain experimental results concerning the influence of tempering and cold rolling on the anisotropy of electrical conductivity of Al alloy D16.
The finite time thermodynamics analysis and the energy-saving optimization of the coil organic heat transfer material heater
Wei Li Gu1, 2, Han Qing Wang3, Guang Xiao Kou3, Qiao Ying Cao2
1School of Energy and Power Engineering, Central South University, Changsha 410000, China
2Department of Urban Construction, University of South China, Hengyang 421001, China
3Hunan University of Technology, Zhuzhou 412000, China
According to the problems as low efficiency, aging of organic heat transfer material and frequent accidents in the operation of the coil organic heat transfer material heater, with the finite time thermodynamics, this paper studies the actual processes including combustion process, flow and heat transfer process, considers the irreversible factors as combustion condition, the fuel characteristics, flow resistance and heat transfer temperature difference, derives the calculation formula of energy loss for three processes and to determine the minimum energy loss. Based on this, this paper proposes energy-saving optimization strategy and gives examples, the results accord with the analysis. In design and operation, the outlet flue gas temperature of furnace, flue gas temperature and flow velocity of hot oil are important.
Chunyu He, Zhijie Jiao, Di Wu
The State Key Laboratory of Rolling and Automation, Northeastern University, Shenyang 110004, China
Aiming at the requirement of the high precision rolled piece plastic coefficient in the hot rolling process, this paper puts forward an on-line calculation method for the plastic coefficient. Based on the rolling mechanism model and fitting the plastic curve by the quadratic curve, the paper is to solve the tangency at the rolling pressure point, which is the plastic coefficient. The plastic coefficient calculation method exploited in the paper could be embedded in the basic automation directly before the calculation of the automatic gauge control (AGC) regulation quantity. According to the changes of the rolling force and the roll gap, the method can make the correction computation on the plastic coefficient, so as to improve the thickness compensation accuracy of the AGC system.
Bo Jin, Lijun Zhao, Shiqiang Zhu
The State Key Lab of Fluid Power Transmission and Control, Zhejiang University, Hangzhou, 310027, China
Depth estimation is the precondition in obstacle avoidance for mobile robots. To improve the obstacle detecting effectiveness and quickness in poor-textured backgrounds, we used the centroid abscissa difference of corresponding obstacle region in image pairs as parallax to estimate obstacle depth. The error of parallax and depth were studied analytically and numerically. Wood blocks of different shapes and sizes were used for demonstrating the relationship between estimated depth and actual depth. A quadratic function model was obtained after experiments. Although the depth estimation error was relatively higher compared to conventional grayscale correlation-based method, the proposed method was expected to satisfy the accuracy requirement of depth estimation for common mobile robots.
Wei Liu1, 2, Hongzhao Liu1
1School of Mechanical and Precision Instrument Engineering, Xi’an University of Technology, Xi’an, Shaanxi, 710048, China
2Department of Computer Science and Technology, Shaanxi Xueqian Normal University, Xi’an, Shaanxi 710100, China
Characteristic selection is a key to accurate signal recognition. Specific to the signal recognition of dynamic pressure waves in pipelines, this article proposes to use EMD method to decompose dynamic pressure signals into a series of IMFs, adopt the correlation theories of signals to determine and eliminate noise, retain valid IMFs from 4th to 8th level and extract kurtosis, energy and statistical characteristics. The experiment analyses and verifies that the energy or statistical characteristics (mean variance, mean standard deviation, mean range and mean quartile range) can effectively represent signals.
Dynamical behaviour and coupling synchronization of oscillatory activities in a cell system of neural network
Kaijun Wu1, Tianqi Luo1, Huaiwei Lu2, Yazhou Shan1
1School of Electronic and Information Engineering, LanZhou JiaoTong Unversity, Lanzhou 730070, China
2School of Mathematics and Physics, LanZhou JiaoTong Unversity, Lanzhou 730070, China
The paper mainly described a mathematical model of calcium ion oscillation of non-excitable cells. Based on the model, complex oscillations caused by variations of bifurcation parameters were analysed in detail and effects of variation of parameters to synchronization were discussed when the coupling intensity of two gaps-junction- coupled calcium ion cells was certain. Through numerical simulation, under less stiffness of coupling and among a certain scope of parameters, the phenomenon that the larger the parameters were, the easier the system occurred approximate synchronization were further illustrated.
Chunhun Liang1, 2, Yuanchun Li1, 3
1College of Communication Engineering, Jilin University, 130012, Changchun, China
2College of Electrical and Information, Changchun Institute of Technology, 130012, Changchun, China
3Department of Control Engineering, Changchun University of Technology, 130012, Changchun, China
For the purpose of probe soft landing on small bodies safely, this paper focuses on the orbital dynamics and describes a new control algorithm for the probe descent near a rotating small body. The general formulation of the probe equations of motion in the Body-Fixed Coordinate system is obtained through Newton’s second law firstly. Then the nominal polynomial trajectory of vertical direction is planned in the condition of fuel consumption suboptimum. Considering uncertainties and perturbations, the control laws based on Adaptive Terminal Sliding Mode with compensation term are developed to track the desired trajectory finally. Suppose the initial conditions presented in this paper, position and velocity errors tend to zero in the finite time in the phase of sliding mode motion so it will make the task succeed during descent phase near small bodies. Finally, the effectiveness of the guidance and control algorithm is verified by MATLAB simulations. The proposed algorithm can fast and accurately track the planned trajectory in the finite time and is robust to parameter uncertainty, feedback state error and external disturbances. The validity is conformed by computer simulation.
Research on modelling of intake tower in three-dimension CAD software and simulation analysis in FE software
North China University of Water Resources and Electric Power, Zhengzhou, China
ANSYS is one of the most influential finite element analysis software in the world because of its very powerful calculation and analysis ability, but its pre-process function is weak relatively. SolidWorks is the three-dimension parametric feature modelling software of 100% feature modelling and 100% parameterization, which provides product-level automated design tools. In this paper, combining with the intake tower, it discusses the method of modelling in three-dimension CAD software SolidWorks and the interface processing between SolidWorks and the ANSYS code, which decreases the difficulty in modelling complicated models in ANSYS. In view of the function of the birth-death element and secondary development with APDL (ANSYS parametric design language), simulation analyses of thermal field and stress during the construction and impounding periods were conveniently conducted.
Application of support vector machine in driving ranges prediction of pure electric vehicle with dual – energy storage system based on particle swarm algorithm
Shuang Du1, 2, Chuncheng Zuo1
1College of Mechanical Science and Engineering, Jilin University, Changchun City, Jilin Province, China
2College of Engineering Technology, Jilin Agricultural University, Changchun City, Jilin Province, China
Driving ranges was a key factor that may affect the popularization and development of pure electric vehicle (PEV) with dual-energy storage system (DESS). It relied on neural network for its prediction. However, the prediction effect was not satisfactory due to local minimization, slow convergence rate, overfitting phenomenon and so on. In order to be more accurate in prediction, this paper introduced the Support Vector Regress (SVR) to the vehicle with parameters optimized by particle swarm optimization (PSO). Compare to BP neural network algorithm, PSO-SVR algorithm is more accurate and practical.
Xiaoheng Yan1, 2, Hua Fu1, Weihua Chen1
1Department of Electrical and Control Engineering, Liaoning Technical University, Huludao Liaoning 125105, China
2Department of Safety Science and Engineering, Liaoning Technical University, Fuxin Liaoning 123000, China
There are a lot of factors that affect the gas emission, and among those there is a complicated and nonlinear relationship, so a BP neural network model based on immune genetic algorithm (IGA) was constructed to solve the problem of the traditional BP neural network such as, slow training speed, easy to be trapped into local optimums, and the premature convergence. In order to further improve accuracy of the prediction, the Markov chain was used to modify the residual series for the sample of bigger error. The correction result is more close to the measured value. The results showed that both the prediction accuracy and convergence speed of the IGA-BP model are better than the BP neural network model. The prediction after modified by Markov chain was further improved, the absolute average relative error of the prediction of the IGA-BP model is 2.40%.
A computer aided kineto-static analysis method for spatial robot mechanism based on vector bond graph
Zhongshuang Wang, Yangyang Tao
School of Mechatronics Engineering, Qiqihar University, Qiqihar, Heilongjiang 161006, China
In order to increase the reliability and efficiency of the kineto-static analysis of complex robot systems, the corresponding vector bond graph procedure is proposed. From the algebraic relations of input and output vectors in the basic fields, junction structure and Euler-junction structure of system vector bond graph model, the unified formulae of driving moment (or force) and constraint forces at joints are derived, which are easily derived on a computer in a complete form. For the algebraic difficulties brought by differential causality and nonlinear junction structure in system automatic modelling and kineto-static analysis, the effective bond graph augment method is proposed. Based on the kinematic constraint relations, the vector bond graph model of the spatial robot mechanism with five degrees of freedom can be made. As a result, the automatic modelling and kineto-static analysis of complex robot system on a computer is realized, its validity is illustrated.
Zhongshuang Wang, Zouqi Shu
School of Mechatronic Engineering, Qiqihar University, Qiqihar, Heilongjiang, 161006, China
A dynamic modelling and simulation procedure for vehicle suspension system based on vector bond graph is described. According to kinematic constraint relations of components, the vector bond graph model for vehicle suspension system is built. In consideration of the coupling of energy variables and coenergy variables in independent energy storage field and dependent energy storage field. The unified formulae of system state space equations which are easily generated on a computer is derived. As a result, the automatic modelling and simulation of dynamics for vehicle suspension system can be realized based on MATLAB.
lei Wang1, 2
1Anhui Key Laboratory of Advanced Numerical Control and Servo Technology, Wuhu, 241000, P R China
2School of Mechanical and Automotive Engineering, Anhui Polytechnic University, Wuhu 241000, P R China
This paper attempts to use a simple and practical method based on the finite element theory and orthogonal design for the optimal structural parameters of machine tool bed. Dynamics finite element model of MCH63 machine tool bed has been established with the finite element analytic technique in order to improve the dynamic characteristics. The thickness of the ribs are looked as the design variables, the orthogonal design is used to optimize the natural frequency and the total mass. The simulation result indicates that the method is simple, effective and feasible.
Evaluation of development patterns based on water resources carrying capacity calculation model in pastoral area
Yinhui Long, Zilong Liao, Zhongxiao Guo, Yifan Song
Research Institute of Water Resources for Pastoral Area, Ministry of Water Resources, Hohhot, Inner Mongolia, China
As the natural barrier, the health situation of grassland is relate to the change of social and economic development. According the natural environment of low rainfall and high evaporation, a comprehensive calculation model is established for evaluating the development patterns based on water resources carrying capacity. In present year, the social and grassland carrying capacity of BAILINGM is in the overload situation and there is a wide variance among different administrative region. By designing five different development patterns, we can find that carrying out the most strict water resources management policy can solve the overload problem of grassland carrying capacity effectively and the B-2 is the best development pattern. This paper show that the calculation results can provide reliable information and guide for macroscopic water resources management in large watershed and administrative region.
Jianguo Wang1, Cong Cong2, Xuhua Qing3, Xiao Han4
1School of Automation Engineering, Northeast Dianli University, Jilin, China
2School of Control and Computer Engineering, North China Electric Power University, Beijing, China
3Jilin Electric Power Research Institute, Jilin, China
4College of Information Engineering, Northeast Dianli University, Jilin, China
To solve a nonlinear constrained economic load dispatch (ELD) problem in which the minimized generation cost is taken as objective and valve point effect of thermal units and operation constraints of power grid are taken into account. A saturation memetic algorithm was presented. To avoid the blindness in the search by the proposed using saturation increase efficiency and using adaptive penalty function to deal constraints. Calculation results of 3-machine system verify the effectiveness of the proposed algorithm. Compared with the other existing techniques, the proposed algorithm has been found to perform better. This method seems to be a promising alternative approach for solving the ELD problems in practical power system.
Fenglei Han, Ankang Hu, Yachong Liu, Chunhui Wang
Harbin Engineering University, Nantong str. 145, Harbin, P.R. China
Hull vibration is inevitable in large vessel’s operation. Too large hull vibration will not only cause damage to the hull structure, but also will affect the normal use of marine equipment and crew at work and life. Therefore, to predict the performance of the ship's structure vibration in ship design stage is essential, which can guide reasonable solutions and necessary damping measures. The vibration calculation report includes: Ship’s free vibration calculation and forced vibration response calculations caused by vibration source on board the ship. The former is mainly to obtain the free vibration characteristics of the whole ship structure, to find hull’s 1~3 order of vibration modes which are most likely to occur and the corresponding frequency values. The latter is mainly get the vibration response of hull ship’s forced vibration caused by excitation source, to avoid low-frequency vibration’s affect to the work and life of the crew. Its response should meet the relevant standards and requirements.
Experiment of energy recovery efficiency and simulation research on EV’s regenerative braking system
Xiaobin Ning1, Ning Li2, Junping Jiang3
1Institute of Vehicle Engineering, Zhejiang University of Technology, China
2Zhijiang College of Zhejiang University of Technology, Zhejiang University of Technology, China
3Zhejiang Geely Automobile Research Institute CO LTD, China
The proposed technique ECPS aims to design and implement a constant pressure hydraulic regenerative braking system with flywheel that can operate the problems of short driving range and improve efficiency of braking energy recovery about electrical vehicle. We established ECPS after comparing several hydraulic regenerative braking schemes .Then we explored the correlation between displacement of pump/motor and efficiency of energy recovery by undertook experiment on using variable displacement of pump/motor. After that, we investigated braking and ECE-15 driving condition simulation based on AMESim, evaluated correlation between displacement of pump/motor and efficiency of energy recovery. The results indicate that the driving range of electrical vehicle has been increased by 25% and the service life of battery was prolonged because depth of discharge was decreased.
Chunfu Zhang1, Jianguo Miao2, Song Tang2
1School of Electrical Engineering, YanCheng Institute of Technology, Yancheng 224051, Jiangsu, China
2Chenguang Calibration & Testing Center, Nanjing 210006, Jiangsu, China
Static thrust line is an important measuring parameter of solid rocket engine. Factors that affect the misalignment and deflection of thrust line of multi-nozzle solid rocket engine were analysed in static condition, and a measuring method by Laser Tracker for thrust line was researched. A calculation model of the thrust line was established based on simplified force spiral rule, which synthesizes the space force systems. The simulation results of misalignment and deflection indicate that the method has high measurement accuracy.
Department of Ship and Ocean Engineering, Zhejiang Ocean University, Zhoushan, 316022, China
Wire bonding, a process of the connection between a semiconductor chip and a lead frame by a thin metal wire, is one of the important processes of electronic packaging. Vibration characteristic and friction behaviour of capillary of Microelectronic Packaging ultrasonic bonding system are studied. A dynamic contact model of capillary was built by finite element method to gain bonding mechanism of wire bonding system. Vibration response and contact friction property of the capillary are calculated. The effects of the loading frequency and static compressive force to the vibration response and contact friction stress were obtained, and the relationships between the loading frequency, the static compressive force and the vibration response were given. The researching conclusions can be used as references for having a better understanding of the bonding mechanism and the study of fault diagnose techniques for bonding process.
Ping Li1, Yongchi Li1, Shiwei Duan2, Mingtao Liu1, Ruiyuan Huang1
1Department of Modern Mechanics, University of Science and Technology of China, Hefei 230027, China
2School of Mechanical Engineering, Anhui University of Technology, Maanshan, 243000, China
In this paper, we present two types of damage model, coupled pressure-shear damage model and tensile damage model, according to the different stress state and different damage mechanism in concrete. Combining microscopic and macroscopic mechanics, we derive the damage evolution equation and obtain relevant material parameters by fitting the test data of one-dimensional compression and tension test. In order to verify the proposed damage model, we carry out numerical simulation on wave propagation problems caused by the explosive charge in concrete columns. The simulation results are consistent with experimental results, which show successfully the evolution of damage in explosion process.
Jianying Liu1, 2, Qiaoxin Zhang1, Lixia Deng2
1Wuhan University of Technology, Wuhan, Hubei, 430070, China
2Henan Engineering College, Zhengzhou, Henan, 451191, China
In order to ensure the research and development production of coal mine "KJYF - 96/8 portable hardware capsule" in the coal mine use can effectively resist gas explosion shock pressure, structural strength meet the safety requirements. The finite element model is set up, to take specific gas coal dust explosion triangle under the action of shock waves, the stress, strain and displacement response. The results show that the peak of 0.6 MPa and 1.2 MPa, 300ms triangle shock wave, the capsule basic no plastic deformation, overall no failure parts, ships were able to be whole, the structure safety. Depending on the overall displacement nephogram view of displacement nephogram and components parts after shock wave action, maintain the overall coordination deformation, minimal relative displacement, sealing well.
Youneng Zhang1, Dawen Wang2, Li Ding1
1Department of electrical and information engineering of Anhui Industry &Trade Vocational Technical College, Huainan, Anhui, 232001, China
2Experiment center of Anhui Industry &Trade Vocational Technical College, Huainan, Anhui, 230001, China
This study proposed a Mach-Zehnder interferometer (M-Z)-based disturbance detection interferometric fibre optic sensor system. In this system, two single-mode optical fibres passing through the central tube of cable were used as the signal arm and reference arm of the M-Z interferometer. In the coherent length range of laser light source, as long as encountering suitable optical path difference, can the photosynthesis generate a series of alternately dark and bright interference fringes. Reference arm is dependent from the external signals, while the signal arm is subject to the disturbance of external signals. Affected by the disturbance, signal interference fringes significantly generated fluctuations with the variation of the optical distance between the two arms. The interference signals were then collected and stored through digital storage oscilloscope. By detecting the variations of the interference fringes from stability to instability, and from regularity to irregularity, it had access to judging whether or not there was external disturbance invasion. Experimental results suggested that the sensor system was very sensitive. In case of slight touch on the cable, the waveform will generate variations.
Numerical simulation of aerodynamic characteristics of windmill based on computer graphics display technology
Jingbin Hao, Haifeng Yang, Zhongkai Li
College of Mechanical and Electrical Engineering, China University of Mining and Technology, Xuzhou, China 221116
This paper proposed research on wind computation fluid dynamics(CFD) analysis and visualization in scientific computing facing to OSG in order to obtain numerical result of aerodynamic characteristics stimulated by windmill and to display vivid and direct 3-D effect for easy observation experiment. This paper applied CFX module in ANSYS Workbench software to conduct CFD analysis and calculation of windmill through computer graphic display technology based on CFD principle and realize numerical stimulation of aerodynamic characteristics of windmill. Then the research on visualization in scientific computing of aerodynamic characteristics of windmill was realized combining with OSG software that face to virtual display technology.