bluuebunny/crossref_metadata_2025 huggingface dataset:
Banques centrales, dernier rempart contre la déflation
Authors: Département analyse et prévision
Published: January 2015

Six ans après le déclenchement de la récession, peu de pays ont rattrapé le niveau d’activité de 2008. Le double choc de la récession en 2008 et en 2009 et des politiques de consolidation budgétaire mises en place à partir de 2010 pour réduire les déficits hérités de la première phase de la crise ont plongé les économies dans un double dip dont elles ne sont toujours pas sorties. Les politiques monétaires très accommodantes se sont efforcées d’atténuer l’effet récessif des plans d’austérité, mais la zone euro, confrontée à la violence de la crise des dettes souveraines, n’a pas bénéficié de la stabilité financière des États-Unis. Les politiques de rigueur y ont provoqué une deuxième récession au moment où les multiplicateurs étaient élevés. Les objectifs initiaux de réduction des déficits n’ont pas été atteints, les marchés n’ont pas été rassurés et les taux d’intérêt n’ont pas reculé. La rigueur a donc été accentuée. Un pas vers la résolution de la crise des dettes souveraines a été accompli par la Banque centrale européenne, avec les déclarations de son président en juillet 2012 ( The ECB is ready to do whatever it takes to preserve the euro ) et la création du dispositif d’Opérations Monétaires sur Titres en septembre, qui ont convaincu les marchés et permis la baisse des taux. En 2013, la zone euro est sortie de la récession. Mais la « vraie » reprise se fera attendre. En 2014 et en 2015, la croissance restera molle de part et d’autre de l’Atlantique. D’abord parce que les politiques budgétaires resteront restrictives, même si elles le seront moins que par le passé. Ensuite parce que le ralentissement de l’inflation, et même la menace d’une entrée en déflation, réévaluent les taux réels d’aujourd’hui et de demain. Enfin parce que les pays émergents subissent plus qu’ils n’impulsent la croissance mondiale.
Customer Knowledge Management (CKM)
Authors: Khasawneh Rawan , Alazzam Ameen
Published: January 2015

The knowledge-based perspective of the firm implies that knowledge is an important asset that should be utilized effectively in order to achieve sustainable competitive advantage and leverage customer loyalty and satisfaction level. Integrating Customer Relationship Management (CRM) and Knowledge Management (KM) resulted in introducing the concept of Customer Knowledge Management (CKM), which focused on getting the maximum benefits from customer knowledge and providing customers with continuous improvements and customized products and services. This chapter explores customer knowledge management and its general concepts including knowledge and customer relationship management. In addition, it reviews the goal of CKM strategy that targets organizing and integrating customer knowledge in a manner that improves the organization's understanding of how to serve customers by more effectively utilizing the vital relationship between implementing CKM strategy and leveraging customer satisfaction level. Conclusions and proposed future work are stated at the end.
The Role of Authentic Science Research and Education Outreach in Increasing Community Resilience
Authors: Hall Cynthia , Easley Regina , Howard Joniqua , Halfhide Trina
Published: January 2015

Active, multi-dimensional learning is needed to establish higher-level scientific inquiry. Researchers who are engaged in scientific discovery are a valuable resource to communicate the link between science, society, and sustainability. Nontraditional settings like faith-based organizations and hobbies can play an important role in fostering greater scientific understanding. This chapter highlights the role that community structure (social, racial, and economic demographics) plays in developing successful project components by considering various theoretical frameworks to communicate sustainability principles to underserved communities. The researchers in these case studies presented the topics of ocean acidification and healthy soil to inner-city communities in Tampa, FL and Philadelphia, PA by utilizing authentic science research activities. Learners maximized the opportunities to construct new hypotheses and improve decision-making related to environmental stewardship behaviors and food security issues. A secondary but transformative outcome was increased interest in STEM fields among youth in cities with traditionally low performing schools.
Collaborative Teams as a Means of Constructing Knowledge in the Life Sciences
Authors: Gardner Grant E. , Walters Kristi L.
Published: January 2015

The use of small collaborative learning teams in STEM classrooms is not new to the field of education. At the undergraduate level, evidence continues to accumulate that organizing students into groups in which they engage in knowledge construction by completing active learning tasks is an effective means to achieve student-learning objectives. However, this teaching method is rarely used by postsecondary faculty, especially in large-enrollment classes. An argument for the efficacy of this method is presented in three parts. This chapter first outlines the theoretical basis for collaborative group learning. Grounded in the literature, this theory is then translated into practice by discussing evidence-based advantages and challenges to creating collaborative learning environments. The chapter concludes with a discussion of a case study examining how the first author has implemented this method of collaborative instruction with a unique means of structuring groups within a large-enrollment non-majors biology classroom.
Video Gaming for STEM Education
Authors: Hyatt Kim J. , Barron Jessica L. , Noakes Michaela A.
Published: January 2015

The focus of this chapter is how video games can be utilized for instructional purposes, specifically in the STEM areas (Science, Technology, Engineering, and Mathematics). Gaming, as an instructional tool, enables educators to create participatory learning activities, assess understanding of complex and ill-formed situations, facilitate critical thinking and problem solving capabilities, and ensure active engagement across the learning continuum for all students. How to use it effectively, however, is a topic of debate among many educational scholars. In order to create innovative ways to teach classic concepts using video games, instructors need diverse skills: technology skills to access video games that meet the needs of today's learners for active engagement, instructional skills to integrate theory and practice, as well as adhere to the standards of academic rigor, and leadership skills to guide students to higher levels of critical and creative thinking. Therefore, this chapter will explore the vast world of video games and the opportunities for instructors to incorporate them into lesson planning. The basis of this empirical work is to align the guiding principles of STEM with the identification of accessible games, based upon learning principles and assessment strategies. The challenge for 21st century educators will be how to bridge the gap between the traditional development of skill sets to meet workforce demands in a dynamically changing global economy that simultaneously creates employees who are capable of innovation, collaboration, and deep critical thinking.
The Research of High-Dimensional Big Data Dimension Reduction Strategy
Authors: Jiang Qing Chao
Published: January 2015

With the increase of data dimension, many low dimensional mining algorithms cannot get satisfactory results. With the increase of data dimension, it can produce a large amount of redundant information; this information will greatly reduce the efficiency of mining, increasing the complexity of the mining algorithm. Feature selection is an efficient way to solve the problem; it can remove a lot of irrelevant and redundant features. In this paper, on the basis of Lars algorithm applying differential evolution thought to the extraction of feature subset, puts forward a new method of feature selection, DE - Lars algorithm. Experiments prove that DE - Lars algorithm enhances the precision of reducing dimension of space, effectively solve the problem of "Curse of Dimensionality ".
Experimental Study on Mechanisms of Buckling and Kink-Band Formation in Graphene Nanosheets
Authors: Wen Chan Chao , Chang T.W. , Kuo Wen Shyong
Published: January 2015

This work examines buckling and kink-band formation in graphene nanosheets (GNSs). GNSs are nanoscale flakes composed of graphene sheets. Expanded graphite was first made, which can be torn apart into GNSs by sonication. A simple but effective approach was adopted to incur buckling in GNSs. Microscopic observations revealed three major modes: the kinking induced by bending, the bulging, and the kink-band caused by in-plane compression. The conditions to cause these modes are discussed. When buckled, the graphene layers undergo sharp kinking. However, the graphene layers can survive kinking without fracture due to their exceptional flexibility. The kink-band in GNSs resembles the kink-band in carbon-fiber composites. However, the scale, the material properties, the micro-structures, and the energy terms involved in forming the kink-band are different.
Thermal Behaviour of New Type of Plaster with PCM Admixture
Authors: Fořt Jan , Pavlíková Milena , Trník Anton , Pavlík Zbyšek
Published: January 2015

In order to decrease the energy consumption of buildings and keep the high thermal comfort of the indoor environment, new types of plasters modified by phase change material (PCM) are developed and experimentally tested. For evaluation of the contribution of PCM admixture to plasters properties, the reference plaster is studied as well. The basic characterization of the tested plasters is done using the measurement of their bulk density, matrix density a total open porosity. For the dry plasters mixtures, the particle size distribution is accessed on laser diffraction principle. Investigation of thermal properties as main parameters affecting the thermal performance of researched materials is done by differential scanning calorimetry (DSC) and transient impulse method. The obtained results proved increased heat storage capacity of the newly developed plasters with incorporated PCM admixture.
The Resistance Relaxation Effect of Conductive Rubber Composite
Authors: Quan Wang Xian , Li Bin , Wang Peng Yu
Published: January 2015

The application prospect of conductive rubber composite is introduced. The mechanism of resistance relaxation of conductive rubber composite was expounded. Several representative mathematical models of the resistance relaxation effect of conductive rubber composite were introduced. The influence of external temperature, heat treatment temperature, the amount of conductive filler, the type and the size of stress, nanomodified materials and dispersing additives on the resistance relaxation effect of the conductive rubber composite were discussed respectively. Finally, a brief description of the application status of conductive rubber composite and its summary and outlook were made.
Research on the Secondary Interface of Electronic Transformers in Smart Substation
Authors: Chen Hao , Ou Chao Long , Chen Fu Sheng , Xiang Jie , Xu Xian Yong , Wang Wei Neng , Wang Hai Yuan
Published: January 2015

According to the requirements of smart substation metering system, a digital interface based on IEC 61850 specification is given, then the functional model of the merging unit is discussed. Meanwhile, according to the actual situation, the author proposes an analog output interface, in order to fit with traditional substation secondary equipment. Then the solution based on TMS320F28335 digital control platform is described, for which the voltage control module of the software and hardware circuits are discussed in detail. The experimental data shows that the proposed merging unit and analog voltage output interface can meet the accuracy standard of electronic transformer in the smart substation.
Energy Optimal Control of PMSM Drive for Time-Varying Load Torque
Authors: Vittek Jan , Ftorek Branislav , Butko Peter , Fedor Tomas
Published: January 2015

Speed and position controller respecting principles of energy optimal control for the drives with permanent magnet synchronous motor and time varying load torque are developed as a contribution to the energy saving and environmental protection. Two approaches to the energy saving controller design are analyzed and compared. The first one is strictly based on energy optimal control theory and derives analytical solutions of the control problem. The second approach for comparison presents approximated solution for the drive’s position controller when the optimal speed trajectory is modified to trapezoidal profile. Results are verified by simulation.
The Analysis of Utility and Necessity of Construction and Modernization of the Devices for Lower Limb Passive Exercise
Authors: Dwornicka Renata , Dominik Ireneusz
Published: January 2015

The article presents the analysis of a survey collecting information about the effectiveness of devices, present on the market of rehabilitation service, called CPM (Continuous Passive Motion) machines. They are used to prevent the stiffening of joints and allow recovering their full functionality after surgical interventions. The analysis focuses on advantages and disadvantages of currently used devices, and, what is most vital, the possible supplementary functions, in which the appliances could be additionally equipped. It can solve problems encountered while using them. The analysis of the research findings will enable the design of own CPM machine construction, which should be well adjusted to patients' actual needs.
Precision Mechanics of Contact Surfaces in the Transition from Stick to Slip
Authors: Shalapko Jurji , Radek Norbert , Pietraszek Jacek
Published: January 2015

The article deals with the problem of transition quasi-static contact in global slip under cyclic tangential load. The state of stress in partial contact, the laws of friction and scenarios of transition to slip of metal surface was determined. Partial slip is defined by the existence of stick and slip zones within the contact area. Currently, there are two basic concepts concerning surface damage processes: one connected with surface activation, which involves an increase in free energy in a tribological system, and the other connected with surface passivity, when free energy decreases. Experimental and theoretical studies were conducted to determine the contact between a sphere and a plane, which is the most suitable system for simulating small-amplitude fretting (~ 0–3 microns).
High-Speed Low-Power Bulk-Controlled Sense-Amplifier D Flip-Flop
Authors: Deng Xiao Ying , Mo Yan Yan , Ning Jian Hui
Published: January 2015

With the development of digital very large scale integrated circuits (VLSI), how to reduce the power dissipation and improve the operation speed are two aspects among the most concerned fields. Based on sense amplifier technology and bulk-controlled technique, this paper proposes a bulk-controlled sense-amplifier D flip-flop (BCSADFF). Firstly, this flip-flop can change the threshold voltage of the NMOS by inputting control signals from the substrate so as to control the operating current. Secondly, the traditional RS flip-flop composed of two NAND gates is improved to a couple of inverters based on pseudo-PMOS dynamic technology. Therefore, the proposed BCSADFF can both effectively reduce the power dissipation and improve the circuit speed. Thirdly, the designed BCSADFF can work normally with ultra-dynamic voltage scaling from 1.8 V to 0.6V for SMIC 0.18-um standard CMOS process. Lastly, the Hspice simulation result shows that, compared with the traditional sense-amplifier D flip-flop (SADFF), the power dissipation of the BCSADFF is significantly reduced under the same operating conditions. When the power supply voltage is 0.9V, the power dissipation and delay of the SADFF is 6.54uW and 0.386ns while that of the proposed BCSADFF is 2.09uW and 0.237ns.
The Power Delay Profile of the Single Antenna Full-Duplex Self-Interference Channel in Indoor Environments at 2.4 GHz
Authors: Wu Xiang Yu , Shen Ying , Tang You Xi , Xiao Shi Chuan
Published: January 2015

The power delay profile (PDP) of the single antenna full-duplex self-interference channel (SIC) is studied in the indoor environments in this paper. We perform the measurements at the center frequency of 2.4 GHz with 100 MHz bandwidth. The PDP can be decomposed into three components: leakage path (LP), antenna reflection path (ARP), and space multipath (SMP). Furthermore, we get the model of the profiles of the leakage path and the antenna reflection path. The space multipath can be modeled as power-law decay plus a random variable with lognormal statistics.
The Research of Assembling Computer Based on Augmented Reality
Authors: Jiang Jie , Kuang Yang
Published: January 2015

In this paper, author uses the camera as a capture tool for video, and then uses the ARToolKit, develops a assembling computer experiment based on augmented reality. It can run leave from the hardware environment, save equipment, reduce equipment loss and save the experimental cost. If this method is applied to high cost or dangerous operating experiment, it is helpful.
Study of Optimization of Microwave Cavity Filter Parameters Based on a Hybrid Algorithm of Trust Region
Authors: Zhang Shu E , Wang Xue , Wang Kai
Published: January 2015

Optimization of microwave filter structure parameter based on traditional learning methods faces problems like long design cycles, complex calculation and sensitive to initial value, and so on. A hybrid trust region algorithm which combine the improved trust region with the advance and retreat method is introduced to the field of optimization of microwave filter structure parameter for the first time. Comparison between the methods based on the traditional trust region method and the improved trust region method reveals that the algorithm can significantly increase precision and speed of optimization model of the microwave cavity filter parameters.
Design of Capacitor Step-Down Regulated Power Supply Based on Current Conduction Angle Adjustable Mode
Authors: Su Hui , Jin Yong Gao
Published: January 2015

In this paper a capacitor step-down regulated power supply based on current conduction angle adjustable mode is proposed. The circuit of capacitor step-down regulated power supply has simple structure, low cost, output short circuit and less loss, it is widely used in driving power supply with small power. But the conventional capacitor step-down power supply has no voltage stabilizing, it cannot work between wide voltage ranges from 180V to 260V. This power can drive LED lamp group which power range is from 5W to 20W. It has less EMI, stable work, low cost and simple maintenance.
The Numerical Simulation Analysis of the Power Station Boiler Heating Surface Slagging
Authors: Li Wen Yan , Wang Lei , Song Ying
Published: January 2015

Slagging is a very complicated physical and chemical process which refers to several scientific cores such as combustion, multiphase flow, heat and mass transfer etc. This paper is to build a mathematical modeling of fuzzy comprehensive judgment and to predicate the distribution of slagging on the heated surface by utilizing the theory of fuzzy mathematics. Then a prediction is made in the boiler of Tuoketuo power plant from Datang Corporation with this method, the results are better consistent with the actual conditions.
3-Dimensional Localization Algorithm Research Based on Weighted Fusion with Projected Coordinate
Authors: Wu Qing Yi , Qiu Zhi Ming , Liu Zhi Kun
Published: January 2015

Due to the serious problem of wireless 3-Dimensional localization technology affected by geographical conditions and other signal jamming, we proposed a new weighted 3-Dimensional localization algorithm based on TDOA-AOA. In this new algorithm, we obtained two groups of 3-Dimensional projected coordinate values of every test point using joint algorithm of TDOA and AOA. Then after weighted scaling, we got the localization coordinate of the point. It is proved by multiple sets of simulation experiments that this algorithm with data weighting can effectively reduce the localization error caused by the environmental interference, and thus ensure the accuracy and effectiveness of the results.
Research and Simulation for Audio Stream Synchronization Algorithm of Multimedia Network
Authors: Li Rui Cheng
Published: January 2015

This study is focused on audio streaming synchronization problems of multimedia network. Audio streaming synchronization issues of multimedia network directly affect the development of multimedia technology. To this end, this paper presents a multimedia network audio stream synchronization method based on the whole node identification, with feature detection method to identify endpoint of audio streams in perception node, and an audio fingerprint is conducted for information of each node, then, mark the starting point of sync, and sync tasks are decomposed at each node, and finally the audio stream synchronization is achieved in the cluster head node, error correction adjustment and information correction are performed to reduce the energy consumption of cluster head node, enhance correction capability of information loss. The simulation results show that the synchronization delay of proposed algorithm is significantly reduced, which enhance the performance of the multimedia network.
A Novel Modeling Method for C4ISR Effectiveness Requirements
Authors: Dong Qing Chao , Qi Yu Dong , Si Wei Chao , Chen Qing Hua
Published: January 2015

Effectiveness requirements for C4ISR system is difficult to capture and model, due to the fact that the effectiveness requirements may contain certain and uncertain requirements concepts. To solve the problem, the paper suggests a capability meta model which can define both functional and effectiveness features of the requirements. The UML modeling paradigm is extended by introducing fuzzy modeling constructs so as to describe fuzzy concepts of the effectiveness requirements. An Effectiveness Evaluation Function (EEF) based on Bézier curves is introduced to predict the effectiveness of systems. Compared with the existing requirements modeling approaches, the method enables an integrated analysis framework of functional and effectiveness requirements.
A Review of the Hyperspectral Unmixing Methods that Based on Constrained NMF and Constrained Sparse Regression
Authors: Zheng Cheng Yong
Published: January 2015

Hyperspectral unmixing (HSU) plays an important role in hyperspectral image analysis, and most of the current HSU algorithms are base on linear mixing model (LMM). This paper gives a review of two linear HSU methods that have been drawn great attention recently: one is constrained nonnegative matrix factorization (CNMF) based method, the other is constrained sparse regression (CSR) based method. We carried on the systematic summary to these two types of methods, based on which, we point out some potential research topics.
An Improved Algorithm for Super-Resolution Video
Authors: Zhang Yan , Jiang Pan Pan
Published: January 2015

Aiming at the characteristics of the UAV camera, camera data nowadays, a new improved method is proposed based on putting the low-resolution video reconstruction into high-resolution video. First, the low-resolution video frame is done spectrum analysis by Fourier transform. Second, find the maximum gradient descent point to determine the cut off frequency. Finally making use of high-resolution images with high frequency detail, then motion compensated. Through POCS algorithm, then iterated, obtaining super-resolution reconstruction video and realizing the above by MATLAB simulation.
Application of Moments in Qualitative Analysis on Borehole Trajectory Curving
Authors: Yuan Rui , Sun Yu Qiu
Published: January 2015

There are many calculation methods of horizontal borehole trajectory, such as cubic spline interpolation function which is based on three-moment equation. By calculating the moments of deviation and azimuth from cubic spline interpolation function respectively, it is easy obtain functions of deviation and azimuth change rate and average borehole curvature to analysis on curving of borehole trajectory. So it is one of the most common methods. However, the moments are always be neglected. Moments of deviation and azimuth, which could be used to qualitatively estimate borehole trajectory curving, are first proposed tentatively in this paper. Synthetically employing other useful parameters of estimation borehole trajectory curving, tens of high-angle directional and horizontal wells’ drilling data is computed and analyzed. Contrast to the variation characteristics of deviation and azimuth change rate, the deviation and azimuth moments have the similar change tendency respectively. The results of this study signify that the proposed parameters could provide some reference for assessment on borehole trajectory curving.
Error Analysis of Neural Network with Multiply Neurons Using Rational Spline Weight Functions
Authors: Zhang Dai Yuan , Wang Lei Lei
Published: January 2015

In order to describe the generalization ability, this paper discusses the error analysis of neural network with multiply neurons using rational spline weight functions. We use the cubic numerator polynomial and linear denominator polynomial as the rational splines for weight functions. We derive the error formula for approximation, the results can be used to algorithms for training neural networks.
High-Rise Residential Complex Wind Aerodynamics Simulation
Authors: Egorychev Oleg O. , Dubinsky Sergey I. , Fedosova Anastasia N.
Published: January 2015

Existing regulatory and regulated methods do not contain recommendations on the appointment of the aerodynamic coefficients for the complex shape of tall buildings, however, for such buildings wind loads can be decisive. In this paper, the problem of the calculated characteristics giving is solved by numerical simulation, the estimated pressure indicates average components of the aerodynamic forces and moments are calculated, localization of peak pressure values are defined.
Improved Genetic Algorithm on Minimum Spanning Tree of Length Constraint Problem
Authors: Duan Ying Ying , Zhou Kang , Dong Wen Bo , Shao Kai
Published: January 2015

The first minimum spanning tree of length constraint problem (MSTLCP) is put forward, which can not be solved by traditional algorithms. In order to solve MSTLCP, improved genetic algorithm is put forward based on the idea of global and feasible searching. In the improved genetic algorithm, chromosome is generated to use binary-encoding, and more reasonable fitness function of improved genetic algorithm is designed according to the characteristics of spanning tree and its cotree; in order to ensure the feasibility of chromosome, more succinct check function is introduced to three kinds of genetic operations of improved genetic algorithm (generation of initial population, parental crossover operation and mutation operation); three kinds of methods are used to expand searching scope of algorithm and to ensure optimality of solution, which are as follows: the strategy of preserving superior individuals is adopted, mutation operation is improved in order to enhance the randomness of the operation, crossover rate and mutation rate are further optimized. The validity and correctness of improved genetic algorithm solving MSTLCP are explained by a simulate experiment where improved genetic algorithm is implemented using C programming language. And experimental results are analyzed: selection of population size and iteration times determines the efficiency and precision of the simulate experiment.
Literature Review on Hidden Markov Model-Based Sequential Data Clustering
Authors: Ji Ming , Wang Fei , Wan Jia Ning , Liu Yuan
Published: January 2015

The purpose of this report is to investigate current existing algorithm to cluster sequential data based on hidden Markov model (HMM). Clustering is a classic technique that divides a set of objects into groups (called clusters) so that objects in the same cluster are similar in some sense. The clustering of sequential or time series data, however, draws lately more and more attention from researchers. Hidden Markov model (HMM)-based clustering of sequences is probabilistic model-based approach to clustering sequences. Generally, there are two kinds of methodologies: parametric and semi-parametric. The parametric methods make strict assumptions that each cluster is represented by a corresponding HMM, while the semi-parametric approaches relax this assumption and transform the problem to a similarity-based issue. Generally, the semi-parametric methods perform better than parametric approaches as reported by some researchers. Future research can be done in exploring new distance measures between sequences and extending current HMM-based methodologies by using other models.
Outlier Detection Clustering Algorithm Based on Density
Authors: Leng Yong Lin , Shen Hua , Lu Fu Yu
Published: January 2015

K-means is a classic algorithm of clustering analysis and widely applied to various data mining fields. Traditional K-means algorithm selects the initial centroids randomly, so the clustering result will be affected by the noise points, and the clustering result is not stable. For this problem, this paper proposed a k-means algorithm based on density outlier detection. The algorithm firstly detected the outliers with the density model and avoided selecting outliers as the initial cluster centers. After clustering the non outlier, according to distance of the outlier to each centroids, the algorithm distributed the outliers to the corresponding clustering. The algorithm effectively reduced the influence of outliers to K-means and improved the accuracy of clustering result. The experimental result demonstrated that this algorithm can effectively improve the accurate rate and stability of the clustering.
Population Analysis Based on Neural Network of Rational Spline Weight Functions with Cubic Numerator and Quadratic Denominator
Authors: Zhang Dai Yuan , Wang Jia Kai
Published: January 2015

With the steady growth of the population in our country, the analysis of population is essential to the distribution of social resources and the improvement of the population quality. In this paper, we use the neural network of rational spline weight functions with cubic numerator and quadratic denominator to establish the model of Chinese population by four indicators, gender ratio, birth rate, elderly dependency ratio and natural increase rate. Finally we come to the conclusion through MATLAB simulation that the training speed is fast and the error is small. This kind of neural network can be applied to population analysis and it could be used in various fields.
Seeking Primary Functions of Complete Differential with Six Variables
Authors: Huang Yan Ge , Wang Wu Sheng , Zhong Hua Ying
Published: January 2015

On the basis of quadrature problem of function with two, three, four and five variables, this paper discuss quadrature problem of function with six variables. Firstly, we have expounded the method of differential quadrature problem. Finally, we solve the primary functions of a specific complete differential with six variables.
Spatial Resolution Enhancement for Hyperspectral Image Using Gaussian Scale Mixtures
Authors: Liu Jie , Zhang Yi Fan
Published: January 2015

In this paper, a wavelet-based Bayesian fusion framework is presented, in which a low spatial resolution hyperspectral (HS) image is fused with a high spatial resolution multispectral (MS) image. Particularly, a multivariate model, Gaussian Scale Mixture (GSM) model, is employed, which is believed to be capable of modeling the distribution of wavelet coefficients more accurately. A practical implementation scheme is also presented for feasible calculations. The proposed approach is validated by simulation experiments for HS and MS image fusion. The experimental results of the proposed approach are also compared with its counterpart employing a Gaussian model for performance evaluation.
The Analysis and Evaluation of Differentiated Transit Fare Structures
Authors: Huang Di , Liu Zhi Yuan , Cheng Jian Chuan
Published: January 2015

This paper discusses about the analysis and evaluation of different transit fare patterns. In the previous studies, most of the analyses concerned about the transportation economics issues. Recently, the methods of transportation modelling have been widely used in evaluating transit network. In this paper, a bi-level programming model is presented to evaluate the differentiated transit fare structures. The upper-level problem aims to minimize passengers’ total travel cost, whereas the lower-level problem is a stochastic user equilibrium transit assignment model with capacity constraints, which can be changed to different fare structures.
The Bus Data Model, the Principle and Algorithm Implementation of Query System
Authors: Zhang Qiang , Shi Jing , Dong Jing Jing
Published: January 2015

This paper refers to a question about the optimum selection of the city bus routes, according to the different needs of passengers, there are three evaluation criteria: the minimum transfer times, the shortest riding time and the lowest riding expenditure. On the base of the three evaluation criteria we construct three models for the bus system and the bus subway system respectively, using the shortest directed route in the weighted graph, definite database technology; we also adopts the improved Dijkstra algorithm and chromatography to present the resolvent of solving the optimal solution.
The Method Research on Data Mining of Concept Lattice
Authors: Liu Chun , Wang Dong Xing , Tan Kun
Published: January 2015

Concept lattice in essence describe the links between objects and attributes,demonstratesthe generalization and specialization of concepts. The corresponding Hasse diagrams realize the visualization of the data. At present, formal concept analysis has been extensively studied and applied to many areas, such asinformation retrieval, machine learning andsoftware engineering. Based on the above reasons, it is necessary to research the methods of latticeconcept of data mining. This paper is divided into three parts; the first part introduces the basic concepts of data mining. The second part introduces the basic theory of concept lattices. The last part focuses on the application of concept in data mining.
The Research on the Corpus-Based Machine Translation System
Authors: Geng Wei Feng
Published: January 2015

Corpus linguistics has become a study mainstream of language. The research based on corpus is no longer a unique field of computer experts. Developing the machine translation system based on Corpus need to train many high-level talents, which not only are proficient in a number of linguistic theory, with abundant translation and interpretation experience, but also are well versed in computer application software development. Therefore, in this paper, study the corpus-based machine translation methods and analyze the machine translation based on statistics.
A Parallel Test Task Scheduling of Integrated Avionics System Based on the Ant Colony Algorithm
Authors: Zhang Guo Quan , Shi Guo Qing , Zhao Hao Guang , Chen Yong Hong
Published: January 2015

Parallel testing is the key to achieving parallel test task scheduling, and its core is allocating resources fairly and reasonably to the test tasks, then rearrange the execution order of the test tasks in meeting the priority relationship between the resource constraints and the conditions of the test tasks, making the whole test mission of this system can be completed in the shortest possible time and improving the test efficiency. The basic ant colony algorithm has been improved in this paper to fit the parallel test task scheduling and to obtain the task scheduling sequence that complete all testing tasks in shortest test time.
The Modeling and Simulation Calculation of Anti-Submarine Patrol Magnetic Finder Inspection and Search
Authors: Zhang Yao Qing , Sun Ming Tai
Published: January 2015

According to the characteristics of inspection and search submarines, combining anti-submarine patrol aircraft method of searching with magnetic finder, this paper first established submarine motor model, and on this basis, respectively, set up a single and double machine mathematical model using magnetic finder inspection and search. Through simulation calculation, the influence of the range change of search area and magnetic detection finder on search probability was analyzed, and the effective suggestions for magnetic finder optimization are put forward.
Application of SOM Neural Network in Lithology Recognition
Authors: Hu Qi Hua , Wang Cong , Zhang Xin , Fan Jing Jing
Published: January 2015

In order to improve the speed and accuracy of lithology identification with logging data, according to the advantage of the recognition of linear distribution with SOM network, a identification model was established to recognize lithology in northern Qaidam basin. Firstly, the input data of logging curves are normalized, and then continuously trained network separately for 30 times, 50 times, 100 times, 200 times, 500 times, 1000 times, and the final results had shown that it did the best when it’s on 200 times, and the accuracy almostly reached 93 percent. Finally, the model was applied in other district which had the same geology background, and it also apparently displayed more efficient than other traditional method.
Design and Implementation on Digital Media Resource Management System Based on SOA
Authors: Liu Yun
Published: January 2015

With the development of computer, network, multimedia technology, digital media resources with many types and huge amount are increasing dramatically, so this results in a more serious requirement on digital media resource management. Digital media resource management system based on SOA is put forward in this paper in the light of the problems of existing media resource management system. SOA, architecture of new generation, is one of the most ideal solutions to integrate application systems. The system solved the problem of heterogeneity fundamentally, and maximum integration and sharing of resources in management system can be achieved. Study achieved an integrated digital media resource management system and the problem of resource sharing was solved so as to adapt to the digital media resource management in big data era.
Framework Structure on Enterprise Office Automation System
Authors: Yang Yu Qiang , Chen Heng
Published: January 2015

Office automation system provides enterprises with advanced office information processing means, immensely enhances office productivity and the quality of office, and enhances office management and decision automation and scientific levels. For the difficult problems in the development of office automation systems, this paper launched study for its framework. Firstly, it researches the fundamental framework composed by the user layer, service layer, application layer, the data support layer; then, researches the technical framework which uses Lotus Domino / Notes as the development platform and described its various components; Finally, researches the functional framework composed by the personal office, administration, document systems, public information, information systems, systems management and so on six large modules. Architecture technology provides a large number of software reuse, thereby improves development efficiency. OA system of developing using the contents of this paper has advantage of a clear structure, stable performance, easy to maintain, easy to transplant and so on.
Experiment on Damping Effects of Damping Ditch in Complex Environment
Authors: Fan Lei , Fang Xiang , Pan Jiang Ming , Fu Ming Jun , Zhang Lin Tao , Gao Zhen Ru
Published: January 2015

Damping ditch is an important method to reduce blasting vibration effects. In order to investigate rules of damping trench on blasting vibration, blasting experiments of damping channel were conducted in an actual project. Meanwhile, blasting seismic waves were measured with analysis of datum. Results showed that blasting vibration intensity was distinctly reduced by using damping ditch; the spectrum of seismic waves was changed to decentralize the energy to dampen blasting vibration.
Research on Cloud Servicer Dynamically Select Models in Music VoD Hybrid Network Environment
Authors: Zhang Ya Lin
Published: January 2015

Video server providers invest more and more on the server, for how to provide a stable and low-cost continuous service to users of this problem. In this paper, hybrid architecture in the user how to choose a cloud server in-depth analysis. And how to choose a cloud server for this problem, this paper analyzes the current server selection method, coupled with P2P mode users the ability to upload and server memory on this basis for modeling, then verified through simulation experiments proposed the effectiveness of the method.
Review of Computer Aided Product Innovation Design Based on Knowledge
Authors: Chen Ji Wen , Xu Xiao Dong , Shen Xiao Qin
Published: January 2015

Design knowledge acquisition, representation and application are key technologies in computer-aided innovation design. It is an important way to improve the innovation capability and core competitiveness of manufacturing enterprises. The present state of the art of theories and tools of computer-aided product innovation design was presented, some key technologies and problems of the computer-aided product innovation design based on knowledge were summarized and analyzed. It was proposed that the ontology-based knowledge modeling based on design process was the base of computer-aided innovation design, The efficient and precise ontology matching method is seeked to efficiently support updating design knowledge by synthetically considering the concept semantics and concept hierarchy structure, and the knowledge association and concept semantic retrieval and reasoning can be better realized by taking into full consideration of semantic relationships of between design knowledges.
Study of Virtual Scene Interaction Based on VRML and 3DS Max
Authors: Kuang Yang , Jiang Jie
Published: January 2015

3DS MAX has a capacity of producing visual 3D model, VRML is a kind of Virtual Reality Language. The combination of the two can construct virtual scene and realize interaction between user and virtual scene. This paper introduces the method of using VRML combined with 3DS MAX to achieve dynamic interactive virtual scene, Study on several interactive modes in VRML.
The Application Research of ERP in Enterprise Information Management
Authors: Liu Ping , Wang Ju , Han Xia
Published: January 2015

The development of science and technology has become an inevitable trend of economic globalization, more and more enterprises realize that the competition between enterprises has already becomes a complex systems engineering, and in the process, the original management pattern gradually exposed the shortcomings, should be replaced by the information management mode. So far, the most complex ERP is the enterprise information management system, it for the enterprise information management provides a new train of thought, to optimize enterprise resource allocation efficiency, strengthen the core competitiveness of the enterprise. This paper analyzes the application of ERP system in the process of enterprise shown, the characteristics of problems including the system in use process. This article selects the typical enterprise ERP application case study, based on the enterprise ERP implementation methodology reference model quickly, for the related industries, enterprises implementing ERP, and equipment asset management problem of study for reference.
Tool to Perform Software-in-the-Loop through Robot Operating System
Authors: Mauledoux Mauricio , Segura Crhistian C.G. , Aviles Oscar F.
Published: January 2015

This article describes the use of Software-in-the-loop (SIL) and Robot Operating System (ROS) as tools for controller implementation and simulation of discrete-time plants is exposed. For experimental validation a magnetic levitation plant is used, this is modeled using Lagrange obtaining a nonlinear model which is linearized. Thus this model is discretized using a Tustin transformation for subsequent implementation of the control loop. Feedback state variable is implemented as control strategy for experimental validation on a system (Raspberry-Pi / fit-PC, Matlab / PC). We chose to use ROS as it is available for computers running operating systems based on Linux, as used in various embedded systems commercially available com the Fit-PC, Beagle-Board and Raspberry-Pi, ROS occupies low disk space (basic installation), programming is done in C ++ allowing more thorough use of the hardware. For testing three modules (node) implemented; "Reference_node" which is responsible for requesting the user to the desired position and transmit it to the next node, "control_node" is responsible for carrying out checks, which receives as inputs the reference (desired position) and the output of the plant (position current), and which outputs the control signal (u), finally "plant_node" is the node that simulates the behavior of the plant.
Research on the Value-Passing Method between Pages under ASP.NET MVC Mode
Authors: Xu Lu Hang
Published: January 2015

By analyzing eight value-passing methods between Web pages under ASP.NET MVC mode, this paper expounds the necessary concepts, functions and features for realizing these methods, then describes the basic application of them by presenting the sample codes under the View and Controller, and finally compares and analyzes the listed common value-passing methods so as to choose a method of high efficiency and good performance according to the application environment in the project development.
Application of Improved Ant Colony Algorithm in the Network Cloud Data Clustering and Intrusion Detection
Authors: Wang Ke , Tan Jing Jing , Pan Ning
Published: January 2015

The traditional network intrusion data detection brings a lot of problems, like congestion control, leading to poor clustering effect. An improved intrusion detection algorithm based on ant guide data clustering is proposed, the accuracy of the output probability is determined by the size of the gene-bit random number, updating status categories sufficient statistics to obtain invasion characteristics observation probability and initial probability, and performing cluster center update rules. Simulation results show that the algorithm has better application performance in data clustering and network intrusion detection.
Research on the Improvement of RED Algorithm in Network Congestion Control
Authors: Song Jia Jia , Zhang Zhi Xue
Published: January 2015

RED algorithm is a kind of implementation which is relatively simple, and better solutions to optimize the network congestion problem, but the RED algorithm of control for the network changes is relatively sensitive, So in practical applications may be to enhance the practical utility of RED algorithm by artificially setting control parameters. In this paper, analysis the effect of maximum drop probability on the queue and average queue based on the discrete TCP/RED feedback network model. And discuss when the queue length stabilized at the desired target, the relationship of the maximum drop probaility value with other network parameters. Based on theoretical analysis, proposed an improved RED algorithm, based on NS-2 simulation results show that this algorithm has good average latency and packet loss rate in a complex network environment, superior FRED and BLUE algorithm.