Advanced Research on Electronic Commerce, Web Application, and Communication

Orthogonal Frequency Division Multiplexing (OFDM) is attractive for high data rate transmission due to spectral efficiency but is known to be sensitive to synchronization errors(symbol time and frequency offset)[1]. Mobility is the basic feature of most of present day techniques that employs OFDM at the backend but Doppler frequencies generated due to the mobility causes frequency offsets which results in Inter Carrier Interference (ICI) amongst the subcarriers of the multicarrier OFDM technique. It induces cross talk and causes deterioration of signal. This paper proposes an efficient Frequency-domain ICI mitigation technique based on the estimation of channel taps to vanish the effects of channel frequency offsets from the proposed OFDM model.

Alongwith this, the channel induced noise tend to raise the BER of the OFDM system making it unsuitable for many error-sensitive applications. Turbo codes have been integrated into the resulting system to cater-for the effects of channel induced noise. MAP decoding algorithm applied at the receiving end is based on the exchange of soft information amongst the component decoders that gain from eachother’s interleaved extrinsic information. The signal is passed through multipath Rayleigh fading AWGN channel and the performance is measured.

Index tracking is a popular problem for funds, especially for index tracker funds. In this paper, we introduced GA-PLS method to solve the index tracking problem. This method consists of genetic algorithm (GA) and partial least squares (PLS). For a portfolio constructed by specified stocks, we used PLS regression to determine their weights in this portfolio. And we used GA to determine which stocks should be chosen to optimize the tracking effect of the portfolio. Results showed that the tracking portfolio constructed by GA-PLS has good performances on both in-sample and out-of-sample data.

In the paper, the author has studied the autonomous learning ability and its reform of linguistic-major students. All of the studies are based on web in self-study center. As for the author, she has used the method of comparison and at the same time, she also used showing examples. In order to show the views clearly, the author has made investigation in English major and law major students. Thus she thinks that teaching reform is necessary for development of students and some effective ways can be used in improving teaching efficiency.

The study assesses the organizational learning efficiency in 30 large-scale enterprises of Zhejiang Province, making use of DEA assessment method. The results show that the entire organizational learning efficiency of zhejiang province’s large-scale enterprises is in need; only part of the enterprises are DEA valid, and the results of the study basically fit in with the enterprises’ practical situation. It is thus clear that the new way to assess the efficiency of organizational learning in enterprises is rational and accessible, which provides an important instrument to enterprises’ management decision making.

The paper establishes animal husbandry information service platform, and the public data platform of animal husbandry is based on data warehouse platform. It aims at the absence of effective use of data resources issues in the process of animal husbandry information. Then it studies on the key technology for the animal husbandry. It will be of the theoretical basis for information integration, storing, sharing and analysis decision-making.

This paper presents a method using hybrid programming with Matlab and VB based on ActiveX to design the system of drilling accident prediction and diagnosis. So that the powerful calculating function and graphical display function of Matlab and visual development interface of VB are combined fully. The main interface of the diagnosis system is compiled in VB,and the analysis and fault diagnosis are implemented by neural network tool boxes in Matlab.The system has favorable interactive interface,and the fault example validation shows that the diagnosis result is feasible and can meet the demands of drilling accident prediction and diagnosis.

Wireless sensor networks have been widely used in the monitoring application. In this paper we shed some lights on several issues in building a complete system for using wireless sensor networks for practical highway long distance tunnel environment monitoring application. From the engineering perspective it is necessary to consider the nodes deployment and from the application perspective it is necessary to meet the performance requirements. Energy conservation, topology and coverage are some important factors need to be taken full consideration for the purpose of providing safe friendly vehicle running environment. Still more deserve to discuss for brighter future of the tracking and monitoring foreground.

According to the drawbacks of traditional teaching quality monitoring subsystems and based on the achievements of practical research in the teaching quality monitoring administration in College, this paper provides a design of overall structure of teaching quality monitoring subsystem, that is more suitable for colleges’ management. This new system is endowed with the same features as .NET application programes: easy to extend, easy to maintain, flexible, convenient, and it let enterprises, students’ parents and excellent graduates participate in teaching quality monitoring administration, have significant effect to ensure the quality of talent training in colleges.

According to the statistical data of total energy consumption- industrial output in 1990-2008 in Hebei Province, this paper establishes a function of energy consumption - industrial output, analyzes test results through the unit root test, causality test, co-integration and error correction model, and obtains following conclusion: energy consumption and industrial output in Hebei form relationships of short-term fluctuation and long-term balance, and the results are obvious. On this basis, to coordinate development of energy and economy and reduce energy consumption, implementing energy development strategy and optimizing industrial structure is necessary, and adjusting the industrial industry is a key.

This paper introduces the base theory of data warehouse and ROLAP, and presents a new kind of ROLAP aggregation algorithm, which has calculation algorithms. It covers the shortage of low accuracy of traditional aggregation algorithm that aggregates only by addition. The ROLAP aggregation with calculation algorithm which can aggregate according to business rules improves accuracy. And key designs and procedures are presented. Compared with the traditional method, its efficiency is displayed in an experiment.

A design of 32*32 bit pipelined multiplier is presented in this paper. The proposed multiplier is based on the modified booth algorithm and Wallace tree structure. In order to improve the throughput rate of the multiplier, pipeline architecture is introduced to the Wallace tree. Carry Select Adder is deployed to reduce the propagation delay of carry signal for the final level 64-bit adder. The multiplier is fully implemented with Verilog HDL and synthesized successfully with Quartus II. The experiment result shows that the resource consumption and power consumption is reduced to 2560LE and 120mW, the operating frequency is improved from 136.21MHz to 165.07MHz.

Night vision image has characteristics of low contrast, weak-arrangement gray and dim vision. Double-plateaus histogram enhancement algorithm is presented to enhance them. By setting a higher threshold value, the algorithm can constrain the background and noises. At the same time, the algorithm can magnify dim targets and image details by setting a lower threshold value. With the proposed algorithm, disadvantages of classical histogram and other plateaus histogram enhancement algorithm are overcome while achieving high contrast. Experiments prove that the proposed algorithm can enhance image contrast effectively and preserve image details simultaneously. Moreover, it can also overcome over-bright phenomenon.

Fabric appearance is always considered to be one of the most important aspects of fabric quality. Testing for fabric appearance is the process of inspecting, measuring and evaluating characteristics and properties of a fabric surface. Fabric Pilling is a key step in fabric pilling objective evaluation,which is the important component of textile performance test digitization.Image analysis has been widely accepted as an objetive mothod for evaluating fabric appearance.This study presents the principles of new method of fabric pilling image segmenttation based on mean shift.The principle of mean shift was demonstrated, and the extend principle of mean shift was educed. The extended mean shift algorithm was used to try to solve the segmentation of fabric pilling image.In this issue, two main steps were introduced: the filting of image and the segmentation of image. The influences of three parameters to the segmentation effect were analysised. The laboratory result shows that the proposed algorithm can get excellent segmentation after chosen three better parameters.

Several conference proceedings have been infiltrated by fake submissions generated by the SCIgen computer program. Due to the fictional content the chapter “Research on the Simulation of Neural Networks and Semaphores” by “Haibo Zhu” has been retracted by the publisher. Measures are being taken to avoid similar breaches in the future.

The paper compares several kinds scheduling algorithm,which include First-Come,First-Served,Shortest-Job (process)-First, Highest Response Ratio Next. Each algorithm has some advantages or disadvantages.In order to take all the factors,such as first come job,shortest job,longest job,highest respones ratio job,and etc,the paper put forward a new operating system scheduling algorithm median-time slice-Highest Response Ratio Next, the method was proved to be feasible and effective after tested the five process sequence.

Heat pipe is a high efficient component to transfer heat, It can be used in energy recovery of the exhaust air in the air-conditioning system. In this paper, comparison was made both in full fresh air-conditioning system and once return air system .Energy –saving of air-conditioning after installing the heat pipe heat-exchangers was analyzed. It was demonstrated that heat pipe can be implemented in air-conditioning.

Nowadays, the problem of the environment goes worse, it urges people to research and study new energy-saving and environment-friendly refrigerants, such as carbon dioxide, at present, people do research on carbon dioxide at home and abroad. This paper introduces the property of carbon dioxide as a refrigerant, sums up and analyses carbon dioxide refrigeration cycles, and points out the development and research direction in the future.

In recent years, evaluating the region innovation activity has gained a renewed interest in both growth economists and trade economists. In this work, a two-stage architecture constructed by combining kernel principal component analysis (KPCA) and the data envelopment analysis (DEA) is proposed for evolution region innovation. In the first stage, KPCA is used as feature extraction. In the second stage, DEA is used to evolution region innovation efficiency. By examining the region innovation data, it is shown that the proposed method achieves is effective and feasible. And it provides a better estimate tool for the region innovation activity. It also provides a novel way for the evolution design of the other engineering.

In the tactical battlefield target monitoring it is crucial to take into account the energy efficiency and data reliability issues for the purpose of military decision making, especially in large scale sensor networks. However, due to the inherent nature of power constraint and wireless communication medium it is a challenging problem in the process of actual application. An efficient and reliable data aggregation scheme is proposed to enhance the performance of wireless sensor network used in the target monitoring. Firstly, the energy consumption model is presented and analyzed in the multihop WSNs. Then idea of mobile sinks, adaptive energy saving mechanism is introduced and the concept of multiple sinks cooperation is used to assure the reliability of the data aggregation. The simulation and the associated analysis show the improved results of the presented schema. At last the future discussion about the large scale tactical battlefield application is made to broaden the coming research scope.

Efficient response and treatment of unexpected events relies on reliable, flexible and robust emergency communication network. In this paper, backgrounds of building emergency communication network are introduced. Then, architecture design of emergency communication network is explained, including design goals, ideas and other technical issues. Afterwards, in terms of requirements of emergency communication network, implementation methods of WiMAX based broadband emergency communication network are discussed. Meanwhile, network monitor and interconnection issues are considered.

Grid portal is an important branch of grid research. In order to solve the weak expressive force, the poor interaction, the low operating efficiency and other insufficiencies of the first and second generation of grid portal system, RIA technology was introduced to it. A new portal architecture was designed based on RIA and Web service. The concrete realizing scheme of portal system was presented by using Adobe Flex/Flash technology, which formed a new design pattern. In system architecture, the design pattern has B/S and C/S superiorities, balances server and its client side, optimizes the system performance, realizes platform irrelevance. In system function, the design pattern realizes grid service call, provides client interface with rich user experience, integrates local resources by using FABridge, LCDS, Flash player and some other components.

Cognition process has been translated into other quantitative indicators in some assessment decision systems. In teaching evaluation system a fractional cognition process model is proposed in this paper. The fractional model is built on fractional calculus theory combining with classroom teaching features. The fractional coefficient is determined by the actual course information. Student self-parameter is decided by the actual situation potential of each individual student. The detailed descriptions are displayed through building block diagram. The objective quantitative description can be given in the fractional cognition process model. And the teaching quality assessments will be more objective and accurate based on the above quantitative description.

This paper focuses on a modified echo canceller system developed to satisfy the requirements of long network time-delay in the Internet of Things. The NLMS algorithm used in it is modified to reduce the computational complexity with the characteristics of fast convergence speed and low steady-state mean-square error (MSE). Hardware platform and software program have been designed to verify this algorithm. The simulation results by MATLAB and practical system are presented in support of the feasibility and validity of the proposed algorithm and echo canceller system.

With the increasing competition in logistics industry and promotion of lower logistics costs requirements, the construction of logistics information matching platform for highway transportation plays an important role, and the accuracy of platform design is the key to successful operation or not. Based on survey results of logistics service providers, customers and regulation authorities to access to information and in-depth information demand analysis of logistics information matching platform for highway transportation in Zhejiang province, a survey analysis for framework of logistics information matching platform for highway transportation is provided.

Different architectures and/or ISA (Instruction Set Architecture) representations hold different data arranging formats in the memory. Therefore, the adjustment of byte packing order (endianness) is indispensable in cross- architecture binary translation if the source and target machines are of heterogeneous endianness, which may otherwise cause system failure. The issue is inconspicuous but may lead to significant performance bottleneck. This paper investigates the key aspects of endianness and finds several solutions to endian adjustment for cross-architecture binary translation. In particular, it considers the two principal methods of this field — byte swapping and address swizzling, and gives a comparison of them in our DBT (Dynamic Binary Translator) — CrossBit.

Every language script has its structure, characteristic, and feature. Character based word recognition depends on the feature available to be extracted from character. Word based script recognition overcome the problem of character segmenting and can be applied for several languages (

Arabic, Urdu, Farsi... est.

). In this paper Arabic handwritten is classified as word based system. Firstly, words segmented and normalized in size to fit the DCT input. Then extract feature characteristic by computing the Euclidean distance between pairs of objects in n-by-m data matrix X. Based on the point’s operator of extrema, feature was extracted. Then apply one to one-Class Support Vector Machines (

SVMs

) as a discriminative framework in order to address feature classification. The approach was tested with several public databases and we get high efficiency rate recognition.

From the industrial society, environment pollution has become an important problem as economic grows. People want to know the relation between economic development and environmental pollution, to find out a method to achieve long-term growth under a better environmental condition. In this paper, I use the software SAS and the data in Zhejiang Annual Statistic Data from 1985 to 2009, draw a conclusion that the environment was aggravating while the economic kept increasing, and finally give some suggestions and predictions to the government.

Collaboration among multiple travel agencies and with scenery administration bureaus is vital for small or medium sized travel companies to succeed in the fierce competition of the tourism industry; business processes such as regrouping individual travelers between different agencies prove to be difficult and unpleasant user experience; tourists want to be more informed and have more initiative. To address these issues, proposes an integrated tourism e-commerce platform for travel agencies and scenery administration bureaus as well as tourists to interact in a more smooth way; this platform is constructed upon J2EE framework, provides online collaboration & coordination for companies and information services (such as self-navigation using Google Map etc) for tourists. A running implementation of this platform has been put into real business for a small travel company.

Regional economic disparities have been a hot topic in recent academic world. This paper explores the feasibility of coefficient of variance (CV) and exploratory spatial data analysis (ESDA) in investigating the spatial dynamics of regional disparities at county level in Yangtze River Delta by analyzing per capita GDP data from 1999 to 2008. Empirical results show that the overall spatial disparities of regional economy in Yangtze River Delta have been increasing throughout the study period. The polarization effect is beyond its spread effect, which indicates the spatial heterogeneity of the whole regional economy into two different clubs through the process of cumulative causation.

There has been growing interest in studying combinatorial optimization problems by clustering strategy, with a special emphasis on the traveling salesman problem (TSP). TSP naturally arises as a sub problem in much transportation, manufacturing and logistics application, this problem has caught much attention of mathematicians and computer scientists. A clustering approach will decompose TSP into sub graph and form cluster, so it may reduce problem size into smaller problem. Impact of hierarchical approach will be investigated to produce a better clustering strategy that fit into Euclidean TSP. Clustering strategy to Euclidean TSP consist of two main step, there are; clustering and tour construction. The significant of this research is clustering approach solution result has error less than 10% compare to best known solution (TSPLIB) and there is improvement to a hierarchical clustering algorithm in order to fit in such Euclidean TSP solution method.

Because many students are lacking in perceptual knowledge of MCU, they are difficult to engage themselves in classroom activities. The paper therefore offers an interactive teaching mode of proteus-based MCU virtual laboratory. The teaching mode is of help in arousing students’ interests, improving their learning efficiency and practical abilities, and promoting the teaching reform of MCU subject.

Adopting AT89C52 as the main controller, ENC28J60 as the controller chip, Ethernet formatted encapsulation and demodulation are realized according to the deal IEEE 802.3 in this design. According to the design, the application programs of ARP, AICMP, ATCP are carried out, meanwhile it puts forward the application circuit of data conversion of ENC28J60, and carries out the conversion of data to the formatted style, then home appliance network is achieved.

Vehicular ad hoc network (VANET) is an application of mobile ad hoc technology in transportation systems, it has become an important part of ITS. Since multi-hop link is hard to set up in sparse VANET, a traffic-aware routing (TAR) protocol is proposed which estimates vehicle average neighbors (VAN) of roads by exchanging beacon messages between encounter vehicles. Road with high VAN is preferred to be selected as part of forwarding path at intersection. Packets are forwarded to the next intersection in road in a greedy manner. Simulations show that TAR outperforms the compared protocols in terms of both packet delivery ratio and average end-to-end delay.

The major problem of blind source separation in frequency domain is the permutation ambiguity between different frequency bins, which is the key factor to recover the original sources correctly. A new idea is to consider the frequency components from the same source as a multivariate vector with a certain probability density function, and the vectors from different sources are independent each other. An algorithm based on this idea is proposed to solve the permutation ambiguity problem of BSS in frequency domain, and some approximate cost functions are compared with the existing algorithm in frequency domain. The computer simulations to two true speeches with strong reverberation are shown to verify the efficiency of the proposed algorithm.

Analysis method based on support vector machine and finite element combined with Monte Carlo is applied for the parts in complex external conditions or surroundings, it is difficult to built reliability model of the parts in complex the external conditions or surroundings and it is difficult to establish stress and intention distribution and joint probability density because they work in an uncertain environment, the support vector machine has a good generalization ability prediction ability, integration algorithm based on support vector machine, finite element and Monte Carlo can solve the questions and can excellently use for reliability simulation and calculation for complex and certain system. It is used for reliability analysis of catenary parts in the high-speed electrified railway, integration algorithm mathematic model of reliability analysis for location hook is built, and the outside parameter influence on wrist-arm of location hook is analyzed by the model.

CNC technology is the core of advanced manufacturing technology, and CNC software system is the very important part of numerical control system. The entire CNC system will not work normally, once the potential failure makes the software invalid. As to the current study of CNC sysytem, in use of the FAULT glitch tree, established a glitch tree for the CNC system; find the minimum cut sets with Fussed method and then according to the probability of several common glitches, make quantitative analysis in the reliability of the CNC system so that scientific ways can be provided for the reliability design, maintenance and management of the CNC system.

In this paper, a Harnack-type inequality for convex functions on the anisotropic Heisenberg group is proved by using iterative methods based upon the structure of the group.

In order to solve congestion of IP over WDM network using time-division switching, and to meet the demands of different services, we presented a channel assignment scheme named queuing algorithm. The main idea was adding queuing caches and controller in each HUB, which can assigned wavelength channels and time-slots dynamically according to different transmission priorities, the higher the transmission priority, the better was the opportunity to be assigned more wavelength channels. The theory of this algorithm was introduced, and the performances were analyzed by building random queuing model. The results appear that it is an efficient way to improve QOS and the usage of wavelength channels with low latency.

The past method to make code planning in TD-SCDMA system is only based on the correlation of scrambling codes, the recent research shows that, however, the more effective strategy is to make composite code planning, so it is very important to study the correlation of composite code. In this paper, we make code planning for the new cells based on the correlation of composite codes, and then estimate the performance of planning result. Finally, we can make a conclusion that it is effective to do code planning with the strategy in the paper, and this is valuable to make code resources planning in TD-SCDMA system.

Facebook is one of the renowned social networking sites (SNS) on the Internet. As compared to the conventional SNS, it not only provides social interaction features, but has more entertainment elements on the website. Many Facebook users use the website for the purpose of playing the embedded games rather than use its original social features, i.e., individual’s perceived values about the usage of Facebook may have changed. Consequently, it is an interesting issue to know individual’s perceived values and satisfaction toward continuance usage of the new style SNS like Facebook. Based on prior literatures, three different value orientations, including social orientation, entertainment orientation and fashion orientation, were adopted in this study to examine their influence on individual’s satisfaction and continuance intention to use Facebook. An empirical survey and partial least squares (PLS) technology was utilized to test the proposed hypotheses. Several empirical results were found. Both academic and practical implications are discussed.

The emergence of personalized recommendation system provides an a powerful tool to solve information overloading. We use web data mining principles (fuzzy clustering algorithm) proposes a personalized recommendation system architecture. It contains user fuzzy clustering and web pages fuzzy clustering. And we respectively describe the implementation processes.

The development of the Internet of Things will occur within a new ecosystem that will be driven by a number of key players. The public security as one of the key players is going to make real-time communications will be possible not only by humans but also by things at anytime and from anywhere. This research will present the advent of the Internet of Things to create a plethora of innovative applications and services, which will enhance quality of life and reduce inequalities.

This paper introduces the application of intelligent controller used in the semi-active control of cable vibration mainly and details the design of the controller and cable - damper system’s components. Matlab is used for the simulation of cable-damper system and the simulation results show that intelligent controller can reduce the response of cable vibration and achieve better control effect.

In this paper, the existence of analytic solutions of an iterative functional differential equation is studied. We reduce this problem to finding analytic solutions of a functional differential equation without iteration of the unknown function. For technical reasons, in previous work the constant

α

given in

Schröder

transformation is required to fulfill that

α

is off the unit circle or lies on the circle with the Diophantine condition. In this paper, we break the restraint of the Diophantine condition and obtain results of analytic solutions in the case of

α

at resonance, i.e., at a root of the unity and the case of

α

near resonance under the Brjuno condition.

For an embedded control system, different requirements often need be satisfied at same time, and some of them make the system to act conflicted. Conflict tolerant specification is provided to denote this situation. In such a system, there often exist probabilistic and non-deterministic behaviors. We use Markov Decision Process (MDP) to denote these features. We study the controller synthesis for MDP over conflict tolerant specification. We extend PCTL star by adding past operator to denote the conflict tolerant specification succinctly. We use CT-PLTL to denote conflicted actions and PCTL to denote the specification for probability demand. We first synthesize a controller on a base system over CT-PLTL and then use it to prune the corresponding MDP of the system model. We use the resulting sub-MDP as the model to further synthesis a controller over PCTL. The whole controller for MDP is a conjunction of the two controllers obtained.

Measurement and control system is main section of friction & wear testing machines. But current measurement and control systems have low versatility and high design cost. To solve these problems, this paper designed an Ethernet-based measurement and control system, which can be used in most types of friction & wear testing machines with a few modifications of programs. The DSP processor and touch screen system were successfully integrated into the presented measurement and control system. The functions and implementation processes of each module were introduced in detail, and a reconfigurable software system was designed according to ideas of virtual instruments theory.

This paper explains a small power photovoltaic control system based on PLD. And a new way is applied to trace the maximum power point based on the improved accelerating simplex method. The system perfects the management and protection for the charge and discharge of storage battery also for the load and solar power supply. It’s very important part that the techniques of maximum power point tracking and islanding protecting, but also the technique for inverter to connected with grid are discussed at emphasis. This system scheme can be made use of in several photovoltaic products and obtain the satisfied result.

This paper proposed a new approach to the provision of nonsimple node-protecting

p-

cycles in survivable WDM mesh networks. The traditional designs of non-simple

p-

cycles model the problem as an Integer Linear Program (ILP), and require the pre-enumeration of all possible

p-

cycles. The resulting ILP becomes less tractable for a large network because there may exist a huge number of

p-

cycles. We proposed a new solution method using large scale optimization tools, i.e., Column Generation (CG). With CG,

p-

cycles are generated dynamically when needed. Numerical results show clearly that our new proposed method has a big advantage over the existing one in the capacity efficiency.

As is known to us all, the resources of memory detection of the embedded systems are very limited. Taking the Linux-based embedded arm as platform, this article puts forward two efficient memory detection technologies according to the characteristics of the embedded software. Especially for the programs which need specific libraries, the article puts forwards portable memory detection methods to help program designers to reduce human errors,improve programming quality and therefore make better use of the valuable embedded memory resource.

In order to get the target model of semi-structured data rapidly, effectively and accurately, by combining the related nature of label path in the paper, this paper proposes an algorithm that can extract target model from the OEM model of semi-structured data directly. The basic idea of the Algorithm is: Using a Depth_First Search to get all of the label path expressions, with the help of the nature2 in this paper can reducing the number of path matching, we can generate all frequent label path expressions by layer. Finally, with the strategy of deletion we can get all of the longest frequent label path expressions effectively. Theoretical analysis and Experimental result shows that this algorithm can improve the accuracy of target model and reduce the size of candidate sets in pattern extraction.

KNN algorithm which is one of the best methods of text classifying in the vector space model (VSM) is a simple, example based and none-parameter method. But in the KNN algorithm, the fixed K value ignores the influence of the category and the document number of training text. So, selecting the correct K value can achieve better classification results. This paper proposes a kind of dynamic obtain k-valued for KNN classification algorithm, experimental results show that the dynamic obtain k-valued KNN classification algorithm with high performance.

In recent years, with the increase of intensity of coal mining, a great number of major accidents happen frequently, the reason mostly due to human factors, but human’s unsafely behavior are affected by insecurity mental control. In order to reduce accidents, and to improve safety management, with the help of application security psychology, we analyse the cause of insecurity psychological factors from human perception, from personality development, from motivation incentive, from reward and punishment mechanism, and from security aspects of mental training , and put forward countermeasures to promote coal mine safety production,and to provide information for coal mining to improve the level of safety management.

The application of the Peng-Robinson equations of state (PR EOS) using Matlab and Mathematic has already been demonstrated. In this paper, using Mathematic to solve Soave-Redlich-Kwong (SRK) EOS, as well as the estimation of pure component properties, plotting of vapor-liquid equilibrium (VLE) diagram and calculation of chemical equilibrium, is presented. First the SRK EOS is used to predict several pure-component properties, such as liquid and gas molar volumes for isobutane. The vapor-liquid isobaric diagram is then plotted for a binary mixture composed of n-pentane and n-hexane under the pressures of 2*10^5 and 8*10^5 Pa respectively.

Taking a C3 distillation column as the base case, possible configurations for Thermally Integrated Distillation Columns (TIDC) are proposed and compared to a conventional column and a column with a vapor recompression system (VRC). Thermal efficiency of the TIDC appears to be strongly sensitive to column configuration and a highly efficient asymmetrical configuration with stripping section stages thermally interconnected with the same number of stages in the upper part of the rectifying section emerges as the most promising option. The relationships among pressure ratio of rectifying section to stripping section and energy consumption were also discussed.

This paper mainly compares two methods thermal aging and VSR for structural parts of the hydraulic support. VSR using the spectrum harmonic vibration aging technology has the same effect in the elimination of stress with thermal aging, and is superior to thermal aging in stabling dimensional accuracy and increasing payload capacity of the works.

The barcode technology has become an important way in the field of information input and identify automatically. With the outstanding features of big storage capacity, secure, rich encoding character set and fast decoding, the two-dimensional(2D) QRcode(Quick Response Barcode) has become an important choice of commerce barcode. The development of wireless communications technology and the popularization and application of mobile device has set the foundation of 2D barcode used in business. In this paper, the characteristics and the compositions of 2D QRcode are described, the secure validation workflows and contents of QRcode in goods express delivery are discussed, the encoding process of QRcode is showed, and the system framework is analyzed and established. At last, the system compositions and functions of each part are discussed.

Based on the database of SQL Server, a new automated billing and management system was designed using a range of forms, menus and control room provided by VB. In this new design, WINDOWS registry and API functions ware used, as well DAO and ADO data access and other advanced means. A good interactive interface was available and users could obtain a fresh and different feeling. Demonstrated by the application, the system provided accurate and reliable function and satisfied the needs of modern managements. The system is suitable for automatic billing of colleges and internet cafes management.

This study investigated the impact of contingent variables on the relationship between four predictors and employees’ behavioral intention with e-learning. Seven hundred and twenty-two employees in online training and education were asked to answer questionnaires about their learning styles, perceptions of the quality of the proposed predictors and behavioral intention with e-learning systems. The results of analysis showed that three contingent variables, gender, job title and industry, significantly influenced the perceptions of predictors and employees’ behavioral intention with the e-learning system. This study also found a statistically significant moderating effect of two contingent variables, gender, job title and industry, on the relationship between predictors and e-learning system behavioral intention. The results suggest that a serious consideration of contingent variables is crucial for improving e-learning system behavioral intention. The implications of these results for the management of e-learning systems are discussed.

With the development of economic, the traditional performance mainly rely on financial indicators could not satisfy the need of work. In order to make the performance measurement taking the best services for business goals, this paper proposed Economic Valued-Added Comprehensive Scorecard based on research of shortages and advantages of EVA and BSC .We used Analytic Hierarchy Process to build matrix to solve the weighting of EVA Comprehensive Scorecard. At last we could find the most influence factors for enterprise value forming the weighting.

Because of its own advantages, direct digital synthesis technology (DDS) is applied widely in traditional fields which need signal source. Based on the working principle of DDS, in the applying process, it is very important to calculate the frequency control word. To address the shortcoming of large computation, low efficiency of frequency setting, more storage space occupied or significant cumulative errors of frequency setting when calculating frequency control word with traditional methods, a novel calculation way for frequency control word is researched in this paper. This new method does not need large computation and more space and simultaneously it can decrease the error greatly, which plays an important role in improving the frequency setting speed and precision in signal generator.

This paper, under 3–using principle in the philosophy of caliber-oriented education to success (CETS), makes a tentative qualitative study on the application of task-based approach in the teaching of English-Chinese translation based on the web. Translation teaching is characterized by its practicality. Therefore, the task-based approach can be employed to guide the web-based content collection and the process of English translation teaching. In this way, the prospect for enhancing student’s translation ability is quite encouraging, which has been verified by one year’s teaching.

Rural community is an important institutional innovation,which has important effect and edification to future new rural management.There are three new rural community management patterns in shandong province:divisions of the village community,many villages community and village merge community. This article not only introduce three models,but also compare them in four aspects: community scale, community management,infrastructure,resource utilization.Pointing out the strength and weakness of three models.Drawing a conclusion that village merge community is the active reaction for rural urbanization. And could be the important recommended breed.

Most of the methods for calculation of the upper and lower approximations of a concept are presently based on static information systems. In fact, the information system usually evolves over time, including the change of its universe, attribute set and values of attributes. In this paper, from the point of view of matrix, an incremental updating method is proposed for updating

β

-approximations under variable precision rough sets while the universe of information system evolves with time. Furthermore, the theorems on updating the approximations of a concept by the tool of matrix are given. The process of calculation on this updating method is presented. Finally, a numeric example is given to illustrate the correctness of the proposed incremental updating method based on the matrix point of view.

According to the application of the planet detection, the kinematics model of six wheels rock-bogie robot was studied in this paper. A corresponding robot movement simulation system based on stereo vision and virtual reality was developed. The system provided motion parameters of virtual robot to real robot by means of out-line teaching, which ensured the robot’s safety. The visual orientation theory and the simulation system realization based on OpenGL were introduced in detail. The simulation was finished based on synthesis terrain and real terrain, and the results show that the system possesses preferable interactive characteristic, and will provide some key techniques for virtual navigation, teleoperation of planetary exploration robot.

The depth information contained in the image sequence which produced by the movement of the camera along the each axis is analyzed in this paper, especially for the depth information along the optical axis. Then, the corresponding relationship of the translational vector and the disparity vector under the translational movement of the camera is deduced. Finally, the algorithm for extracting the depth information based on the resolution of disparity vector is given, and the validity of the algorithm is proved by experiment.

A novel prediction algorithm LearnPre-Q was proposed by inversing the

Soil-feature SVM

created. After studying the domain knowledge, soil layer compressibility coefficient and void ratio variation were abstracted to describe the soil characters, and the pile data were transformed and divided into the active data and the passive data. Through learning from the data of one pile, the first independent component

firstIC

was got by fastICA algorithm which reflected the same or similar features of the soil; and then made the passive data as input and

firstIC

as ouput to create

Soil-feature SVM

model. When predicting, the transformed data of other pile was input to the

Soil-feature SVM

model, whose output was the soil feature of other pile. This feature and the corresponding active data were input to predict the pile side friction through SVM-Q algorithm. The result of experiment show the LearnPre-Q algorithm could predict very precisely.

For relaxing the conservatism of stability analysis methods of fuzzy systems, this paper defines a concept of the efficient maximal overlapped-rules group (EMORG), then a theorem is proposed to reduce the difficulty of stability analysis for T-S fuzzy systems, which can guarantee the quadratic stability of the open-loop T-S fuzzy systems globally. This theorem only requires finding a local common positive definite matrix in each EMORG. Finally, simulation studies for two illustrative examples are conducted to show the effectiveness of the proposed method.

In the animation production process, often of different elements to describe the fusion state, this paper takes the single phase reaction–feldspar fusion in the process of ceramic body as example, adopts graphics in its graphics technology to generate fusion style animation design, and makes use of the software Visual C + + language to realize the formation process showing the ceramics microstructure with animation procedure.

In this paper, the problem of simultaneously approximating a function and its derivatives is formulated. First, the problem is solved for a one-dimensional input space by using the least square support vector machines and introducing additional constraints in the approximation of the derivative. To optimize the regression estimation problem, we have derived an algorithm that works fast and more accuracy for moderate-size problems. The proposed method shows that using the information about derivatives significantly improves the reconstruction of the function.

This paper introduces the methods of tailing after user’s browsing action and forecasting users’ download action. In order to foresee user’s download action, when user is applying for a web page at browser, the query string based on hierarchical information directory, which is presented to database server, is recorded. When these query strings have been processed with certain algorithm, user’s interested strength level to certain product can be obtained.

Data storage in cloud computing can save capital expenditure and relive burden of storage management for users. As the lose or corruption of files stored may happen, many researchers focus on the verification of data integrity. However, massive users often bring large numbers of verifying tasks for the auditor. Moreover, users also need to pay extra fee for these verifying tasks beyond storage fee. Therefore, we propose a two-level verification of data integrity to alleviate these problems. The key idea is to routinely verify the data integrity by users and arbitrate the challenge between the user and cloud provider by the auditor according to the MACs and

ϕ

values. The extensive performance simulations show that the proposed scheme obviously decreases auditor’s verifying tasks and the ratio of wrong arbitration.

Based on vessel traffic flow data and Support Vector Machine theory, SVM regression model for short-term vessel traffic flow forecasting was presented. The forecasted vessel traffic flow and abserved ones, which by SVM regression model, coincide properly, and the forecasting results show that mean absolute percentage error of forecasting are smaller than that by SPSS regress model, which validates the feasibility of SVM regression model in the vessel traffic flow forecasting.

This paper is concerned with the existence of analytic solutions of an iterative functional differential equation. Employing the method of majorant series, we need to discuss the constant

α

given in

Schröder

transformation. we study analytic solutions of the equation in the case of

α

at resonance and the case of

α

near resonance under the Brjuno condition.

Swarm Intelligence is a computational and behavioral metaphor for solving distributed problems inspired from biological examples provided by social insects such as ants, termites, bees, and wasps and by swarm, herd, flock, and shoal phenomena in vertebrates such as fish shoals and bird flocks. An example of successful research direction in Swarm Intelligence is ant colony optimization (ACO), which focuses on combinatorial optimization problems. Ant algorithms can be viewed as multi-agent systems (ant colony), where agents (individual ants) solve required tasks through cooperation in the same way that ants create complex social behavior from the combined efforts of individuals.