bluuebunny/crossref_metadata_2025 huggingface dataset:
Measuring Free-Flow Speed Considering Water Depth
Authors: Liu Ming Wei , Cao Shou Qi , Zhang Li Zhen , Sumi Tomonori
Published: September 2013

In this paper, we propose a method of measuring free flow speed according to different water depth in the ponding situation. With different water depth, changes of tire-road friction coefficient caused by reduction of the wheel load are different. This coefficient brings great effect to vehicles free flow speed. In order to reveal this phenomena, observations data obtained in the year 2009 at the number 202 state road in Japan, which runs through Fukuoka, Itosima. By measuring the recording data, we got the speed range corresponding to different water depth. The purpose of this study is to obtain variation of free flow speed according to different water depth and lay foundations for numerical modeling in the future.
The Preliminary Study for the Fault Diagnosis of EMU Based on Expert System
Authors: Guo Lei , Wang Yan Hui
Published: September 2013

Abstract. The expert system that based on knowledge base of association rule and to discuss fault diagnosis expert system for the application of fault diagnosis in the Electrical Multiple Unit (EMU) was described. Through the analysis of failure data of EMU operation group to find out the potential relationship between the state data and fault data from a large number of operation and maintenance history data of EMU. This kind of relationship was stored in the knowledge base. Fault diagnosis expert system model is established, which based on the fault intelligent diagnosis expert of EMU. It can achieve dynamic fault diagnosis of the EMU in the process of running and ensure its safe operation.
Mathematical Model for the Factors Affecting Catalase Activity in Activated Sludge
Authors: Yin Jun , Cui Jing Yi , Li Jia Ni , Wang Jun Xiang
Published: September 2013

The regression method was adopted to establish mathematical models for the select ion of most effective combination of pH value, temperature,C/N,MLSS,that are four major factors affecting activity of catalase,in activated sludge. The models are:Y=－655.7+507.7X1－58.4X3－0.11X4－18.3X1X3－0.12X1X4+0.04X3+44.04X12－0.17X32+0.000005X42,F=111.37,p<<0.01. It reveals that the catalase has the highest activity under the combination of pH7, temperature 25°C,MLSS 8000mg/L.
Solutions for Problems Related with Electronic Information Industry Development in Chongqing
Authors: Zhang Mei Hua , Xiang Xin Yi
Published: September 2013

Currently electronic information industry is in rapid development in Chongqing. While electronic products as well as electronic wastes will introduce potential ecological risks and there are many pollution cases related with them. Background of rapid development of electronic information industry in Chongqing can be described as follows: on the one hand, environmental standards and regulations for this industry in developed countries are stricter than before. On the other hand, related environment problems have already been obvious and serious in Guangdong, which leads to the transfer of such industry into inner regions such as Chongqing. In addition, there will be a hysteresis effect for the potential ecological risk and dangers, which lead to potential worries to the rapid development of electronic information industry in Chongqing. To get around of the trap of development, many problems should be dealt with in Chongqing as follows: global survey on product potential pollution and standards of electronic information industry; investigation on existing pollution cases; environmental impact evaluation on rapid development of electronic information industry in Chongqing. The suggestions and solutions are as follows: international environment standards should be adopted in Chongqing; special privileges should be avoided in industrial development environment building, which will be helpful to keep the strict environment standards; as for special aspects with uncertain environmental impacts, scientific support should be provided, which will be used to support reliable and sensible policy-making.
Evacuation Simulation in the Narrow Stair with Revised Social Force Model
Authors: Wu Hua , Huang Juan , Guo Zhong Lai , Hu Yong Gang
Published: September 2013

In this paper, a revised social force model in the stairs are discussed. Considering the influence of the gravity to the pedestrians in the stairs, we improve the model by adding the gravity factor, which makes the simulation more reality. In additional, we simplify the direction model of the psychological force between pedestrians considering the narrow space of the stair, and this will refine the computational efficiency dramatically. Furthermore, we also discussed the construction of the building models for the practical simulations. The experimental results in this paper shows the valid of the model.
Development of Pre-Processor for OpenSees Based on Patran Command Language
Authors: Gao Yi Chao , Jin Feng , Xu Yan Jie , Yang Jian
Published: September 2013

OpenSees is an object-oriented open-source finite element software platform suitable for advanced simulation of structural and geotechnical systems. Lacking of powerful pre-processor, the preparing of input scripts for OpenSees is time consuming and error-prone for large and complex models. Patran is an excellent pre-processing commercial package for finite element analysis and offers the powerful Patran Command Language (PCL) for user customization. Taking the advantage of Patran in finite element pre-processing, the finite element modeling is done in Patran and the input script for OpenSees is generated by PCL. It is an alternative approach to efficient pre-processing for OpenSees.
The Effect of Mix-Plants Type and Proportion on Water Retention Characteristic for Seedling Bricks
Authors: Zhao Wen Ju , Wang Li Rong , Ji Hong , Fan Yan Wei
Published: September 2013

Wheat straws, wheat shells, corn leaves and corn cobs (0%, 5%, 8% and 10%) were added to red clay to obtain seedling bricks, pure red clay as control (CK), did evaporation test. The results showed that the larger of the proportion of mix-plant was, the smaller the cumulative evaporation of seedling bricks was. The cumulative evaporation of seedling bricks mixed with 10% corn cob was the minimum. In all seedling bricks, the order of 1st day evaporation suppression efficiency and cumulative evaporation suppression efficiency IE: mixed with corn cobs > mixed with wheat shells > mixed with wheat straws > mixed with corn leaves > mixed with nothing, and evaporation suppression efficiency of seedling bricks mixed with 10% corn cobs was the maximum. With the proportion of mix-plant increases, evaporation stability, evaporation suppression efficiency and water retention characteristic of seedling bricks were improved significantly.
Energy-Saving Renovation in Existing High-Rise Residential Building
Authors: Su Min Fang , Guo Hong
Published: September 2013

Based on the structure feature and energy consumption situation of high-rise reinforced concrete residential buildings which built in end of last century, it discussed the main energy-saving renovation technologies and methods. Demonstrating high-rise reinforced concrete residential building of Taiyuan as a case, it analyzed its heat loss problems and defects of original design. Energy-saving renovation plan proposed and put reconstruction technologies of building envelope and heating system in practice. It discusses energy-saving renovation effects, energy efficiency. Indoor thermal environment improved significantly after energy-saving renovation on building envelope and heat system.
Impact of Building Orientation and Window-Wall Ratio on the Office Building Energy Consumption
Authors: Yu Zhen , Zhang Wei Lin , Fang Ting Yong
Published: September 2013

Using the energy consumption simulation software to research the HVAC in fall air conditioning mode, different building orientation and window-wall ratio of the office building energy consumption. The study found that the heating energy consumption, air-conditioning energy consumption and total energy consumption is gradually increased with the increase of the window-wall ratio under the same orientation. The result provides some reference for public buildings in setting of building orientation and window-wall ratio.
Spacial Development Characteristics of Small Cities and Towns under the Background of Urban-Rural Integration: A Case Study of Jiangyin City
Authors: Li Rui , Bing He
Published: September 2013

This paper is about the spacial development characteristics of Jiangyin city under the background of urban-rural integration. Through the analysis of urbanization strategies and urban planning in Jiangyin, its spacial development characteristics are concluded, which include the spacial changes of landuse, industries and transportation between 2001 and 2011, and the influence of urbanization strategies and urban planning on spacial changes.
Adaptability Analysis of Passive Building Energy Efficiency Technology in Hot Summer and Cold Winter Region
Authors: Tong Qing Gui
Published: September 2013

With the development of social economy, building energy consumption takes great proportion in whole society energy consumption. Building energy efficiency technologies especially passive building energy efficiency technologies should be used imminently. This paper researched on the adaptability of passive building energy efficiency technologies in hot summer and cold winter region with Ecotect software. Taking Chongqing, Wuhan, Changsha, Shanghai as the representative areas, this paper analyzed the adaptability of passive energy efficiency technologies which include passive solar heating, thermal storage wall, induced and night ventilation, natural ventilation, direct evaporative cooling,indirect evaporative cooling. Then, some passive building energy efficiency technologies are summarized that suit for the four representative cities through the year.
The Path Selection of Low Carbon Building Development
Authors: Wu Xiao Wei
Published: September 2013

the development of low carbon building is not only the requirement of current economic transition,it is also the realistic choice to implement Scientific Development Concept and to build "two type society". This paper briefly describes the connotation of low carbon buildings , and then illustrates the low-carbon economy background, the necessity of low carbon building development, and finally put forward the corresponding path selection.
Static Planning for Micro-Grid Power Source Based on Multi-Energy Source Hybrid Power Supply with the Minimum Operating Cost
Authors: Liu Zhong Jing , Huo Xiao Jiang , Cheng Hao , Li Yu Na
Published: September 2013

Because the micro-grid investors, beneficiary, management mode, etc. are fairly different from those of traditional power grid. From the perspective of micro grid users or operators, this paper analyzes the operating and maintenance cost of power pack of multi-energy source hybrid power supply, designs the micro-grid power pack model of multi-energy source hybrid power supply by use of static planning measure, aiming at the minimization of operating cost, and analyzes the power pack configuration under the condition of different minimum operating costs by case study and how to achieve the operating and maintenance profits.
Application of Rainwater Garden in Economical Ecological Urban Landscape
Authors: Xuan Xiao Yi , Zhang Hui Xuan
Published: September 2013

With the acceleration of global sustainable development, the shortage of water resources especially the city has become the focus of attention in all countries since water is the key to build a resources-saving ecological city. The article improved the existing "rain garden" project and replenished the purification of the rain in order to realize the urban water cyclic utilization ,through recycling rainwater, which can manage rainstorm effectively , improve the urban water cycle system, as well as supply urban irrigation and underground water. Besides, the combination of urban landscape and stormwater management system, if widely accepted, will not only improve the urban water problem, but also improve the urban environment, alleviating the urban heat island effect and improving the local climate. It can shape a new resources-saving ecological city and then realize the sustainable development of resources.
Research on the Spatial Morphology of City Central District of Single Core Structure
Authors: Li Jin , Su Yue , Yang Jun Yan
Published: September 2013

Single core spatial structure is the most general mode of city central district, with the feature of circle structure. Under the influence of hard core form, the spatial morphology of the structure is divided into three types: line type, cross type and agglomeration type. These three types show the three modes of space development of single core structure, which have their respective forming conditions and spatial characteristics. This paper analyzes the gathering mode and driving mechanism of the three types of the spatial structure, and the advantages and disadvantages of the three types, meanwhile, provides a reference for leading the development of the single-core structure of the central area reasonably.
Research of Station Zone Spatial Circle and Internal Mechanism in TOD Pattern: Taking Nanjing Metro Line 2 Jiqingmen Station as Example
Authors: Shi Yi , Hu Xin Yu , Yang Jun Yan
Published: September 2013

This paper discussed the influence of the urban rail transport on land use and spatial development of the station zone. This research investigated the land use and real estate prices of the Nanjing Metro Line 2 Jiqingmen Station zone, and analyzed land use of station zone and how it was changed in different distances to rail station. The research shows that the overall land use and land prices of rail transit zone have spatial circle characteristics. As the land away from the rail transit site, the influence to the land-use and land prices form the station gradually decline. At the same time, in the level of the urban morphology, rail station produce significant leading role in the building form development around the site.
Driving Force Differences of Urban Construction Land Changes among Urban Agglomerations
Authors: Cao Yin Gui , Du Zhen Zhou , Lu Yuan Qing , Song Xue Jiao
Published: September 2013

In this paper, the author compared the changes of urban construction land and driving forces in Jing-Jin-Ji urban agglomeration, Yangtze River Delta urban agglomeration and Peal River Delta urban agglomeration from 2000 to 2008, which was in order to find out the differences in changes laws and influential factors. The author introduced Correlation analysis, Co-integrated relationship and Granger causality test in metrology analyses to further research the relationship between urban construction land changes and driving forces.
Design and Implementation of Urban 3D Visualization System Based on ArcGis Engine
Authors: Yan Feng , Chen Li Sheng , Yuan Can , Duan Meng Qiang
Published: September 2013

t is a development trend of urban planning from 2D to 3D on the basis of introduction and their combinative application of ArcGIS and SketchUp. In this paper, designing and implementing the urban 3D visualization system, devising the system frame, introducing the key technology, through the instance, showing that the system has practicality and generality.
CLC number: P208 Document id code: B
Research on the Regional Industrial Competitiveness & its Spatial Pattern in Shandong Province Based on the Spatial SSM
Authors: Shan Bao Yan , Wang Li’e
Published: September 2013

By using the statistics of national economy with 19 industries of Shandong province in 2004 and 2010 , both shift - share analysis of the traditional model and spatial model were applied to analysis the industrial competitiveness of 17 cities in Shandong . The classical shift-share approach analyses the evolution of an economic magnitude between two periods identifying three components: a national effect, a sectoral effect and a competitive effect. The spatial shift-share approach analyses the evolution of an economic magnitude identifying three components: the national effect, industry mix neighboring regions-nation effect and the competitive neighboring regions effect. The results of the two models are below: Of all the three effects, the national effect is the most important to the economic growth of all the cities in Shandong. The rate of the total economy and the industries of all the cities were decided by their original amount,etc.
A Novel Method for Deinterleaving of Radar Signals Using Blind Source Separation
Authors: Lu Wei , Ma Ming
Published: September 2013

In the modern wars under the condition of informationalization, radar signals are generally characterized by repetitive patterns in time, so it is one important task of Radar Warning Receiver (RWR) to estimate the Pulse Repetition Interval (PRI) of all radar signals by intercepting and identifying the mixed radar signals. Because each transmitted radar signal are arbitrary in general. From the view of statistic, the transmitted radar pulse train from different radars is mutual independent. So the constituted model of RWR and radar transmitters accord with blind source separation which can separate mixed signals into pure signals. A deinterleaving method using blind source separation for estimating the PRI of each radar signals is proposed. The implementation architecture of the proposed method is given. Finally, computer simulations show the proposed method can gain good performance for the estimation of PRI of radar signals.
Coal Gangue Interface Recognition Based on MFCC Research
Authors: He Ai Xiang , Zhang Meng Ke , Wang Chen Chen
Published: September 2013

In view of the existing coal gangue interface identification technology use ray method that it is not applicable to the working face what it dose not contain radioactive elements in the roof or contain low amounts of radioactive elements, and the detection range of radar detection is lesser, the signal attenuation is relatively serious, so putting forward a kind of coal gangue interface recognition based on Mel frequency cepstrum coefficient of MFCC. The method using coal gangue were put down in the process of coal gangue on the difference of the characteristics of the acoustic signal recognition, first of all, using Mel frequency cepstrum coefficient will after denoising coal gangue acoustic signal transformation to the frequency domain processing, extracting the 32 d characteristic parameters of coal and gangue acoustic signal;The experimental results show that the method can accurately identify the coal gangue down state.
An Optimized Pruning-Based Outlier Detecting Algorithm
Authors: Wang Jing Hua , Zhao Xin Xiang , Jin Peng , Zhang Guo Yan
Published: September 2013

An Optimized Pruning-based Outlier Detecting algorithm is proposed based on the density-based outlier detecting algorithm (LOF algorithm). The calculation accuracy and the time complexity of LOF algorithm are not ideal, so two steps are taken to reduce the amount of calculation and improve the calculation accuracy for LOF algorithm. Firstly, using cluster pruning technique to preprocess data set, at the same time filtering the non-outliers based on the differences of cluster models to avoid the error pruning of outliers located at the edge of clusters, different cluster models are output by inputing multiple parameters in the DBSCAN algorithm. Secondly,optimize the query process of the neighborhood (neighbor and k-neighbor). After pruning, local outlier factors are calculated only for the data objects out of clusters. Experimental results show that the algorithm proposed in this paper can improve the outlier detection accuracy, reduce the time complexity and realize the effective local outlier detection.
Design of EWMA Control Charts for Controlling Dependent Process Stages with Attribute Data
Authors: Yang Chung Ming , Yang Su Fen , Yeh Jin Tyan
Published: September 2013

In this study, we propose EWMA control charts to monitor two dependent process stages with attribute data. The detection ability of the EWMA control charts is compared to those of Shewhart attribute control charts and cause selecting control chart by different correlation. Numerical example and simulation study show that the EWMA control charts have better performance compared to Shewhart attribute control charts and cause selecting control charts.
A Fuzzy C-Means Approach for Incomplete Data Sets Based on Nearest-Neighbor Intervals
Authors: Li Dan , Zhong Chong Quan , Wang Shi Qiang
Published: September 2013

Partially missing data sets are a prevailing problem in pattern recognition. In this paper, the problem of clustering incomplete data sets is considered, and missing attribute values are imputed by the centers of corresponding nearest-neighbor intervals. Firstly, the algorithm estimates the nearest-neighbor intervals of missing attribute values by using the attribute distribution information of the data sets sufficiently. Secondly, the missing attribute values are imputed by the center of the intervals so as to clustering incomplete data sets. The proposed algorithm introduces the nearest neighbor information into incomplete data clustering, and the comparisons of the experimental results for two UCI data sets demonstrate the capability of the proposed algorithm.
ARIMA Models are Clicks Away
Authors: Wu Chien Ho
Published: September 2013

It is often the case that managers and social scientists are called to deal with time series. Time series analysis usually involves a study of the components of the time series and finding models that permit statistical inferences and predictions. ARIMA models are, in theory, the most general class of models for forecasting a time series. The commonly known Box-Jenkins approach to ARIMA model building is an iterative process. To facilitate the iterative process and to relieve the boredom of computational errands, we have developed an assistor for building ARIMA models. The assistor is implemented in Java with embedded R for statistical functions. With the help of the assistor ARIMA models for time series are few clicks away, thus enabling users to focus their efforts on the decision problems at hand.
A Cloud Support Vector Machine Model Based on Image Semantics
Authors: Xing Ling , Zhao Wei , Fu Rong
Published: September 2013

In allusion to randomness and fuzziness of digital image semantic, we propose a new semantic representation of digital image based on cloud model and construct a semantic vector space. In this space, semantic classifications of digital images are completed by calculating the semantic class certainty degree (SCCD). In addition, we propose cloud support vector machine based on image semantics (CSVM-IS) model. Experimental results show that CSVM-IS can accomplish target classification and has good classification accuracy.
The Research on Crack Recognition of Ancient Building Painting Based on Curve Analysis
Authors: Xu Shi Bo , Wang Xiu Jin
Published: September 2013

In this paper, a novel crack detection method is proposed based on the digital image of ancient building painting. The paper first does painting image preprocessing, such as image edge detection, image binary of adaptive threshold and removal of isolated points, and then establishes discrimination model to distinguish between regions and lines, finally uses curve fitting way to sort out the cracks in building painting. The experimental results are satisfactory.
SIFT Feature Extraction Based on Color Energy Region
Authors: Zhang Jun , Zhang Lin , Sun An Quan , Li Shu Bing , Tang Xiao Bing , Wang Hong
Published: September 2013

In content-based image feature extraction research areas, SIFT feature occupies a very important position. In 2004 it was first proposed, widely used in object recognition, video tracking, scene recognition, image retrieval and other issues, and achieved great success. But the extraction of image SIFT features needs a huge amount of computation. This paper presents the concept of color energy in where it has great information, and extract large color energy regions, extracted SIFT feature points in them. Although losing some of the feature points, this method effectively reduces the computational complexity, and reduces the computation time.
Control Point Extraction in the Remote Sensing Image via Adaptive Filter
Authors: Geng Lei Lei , Xia De Shen , Sun Quan Sen , Yuan Kai
Published: September 2013

With the rapid development of the remote sensing satellite, the size and resolution of remote sensing image grow increasingly. The evaluation of image quality requires precise information of ground control points extracted from remote sensing image and reference image. Therefore, we propose an adaptive Wallis enhancement based on radiation-parameters to increase the number of ground control points and to improve the matching precision. First, feature vectors of sub-region are constructed by computing image radiation-parameters, and then the sub-region terrain in the remote sensing image can be recognized using nearest neighbor classifier. Second, according to specific type of sub-region terrain, we enhance images using adaptive Wallis filter with local parameters. Finally, two-level matching method is used to extract and match the control points. The experiments show that compared with existing Wallis filter which are based on global parameters, our method gets better results in the detail enhancement on ZY-3 image so that more and higher accurate ground control points can be effectively extracted to achieve the evaluation of geometric precision automatically and accurately.
The Development of Image Processing Board Based on Target Tracking
Authors: Hu Ya Hui , Guo Le Jiang , Lei Xiao , Min Cheng
Published: September 2013

This paper selects the target tracking algorithm suitable for specific target environment: using Mean Shift algorithm based on space edge direction histogram at initialization, selecting tracking algorithm based on block when there is a shelter. On the basis of algorithm analysis and software experiment and studying of TI Company's TMS320DM642 DSP chip internal structure and development process, these two algorithms researched in this paper were transplanted to DSP platform and a series of optimization were been made to the algorithms codes after transplanted ,implementing target tracking and identified via DSP development board instead of PC.
Three-Steps Uncalibrated Rectification Using Epipolar Distance Transform
Authors: Fu Li Mei , Peng Guo Hua
Published: September 2013

A direct, efficient method for the problem of epipolar rectification in the uncalibrated casewas proposed. The method was based on minimizing a measure ofdistortion, by introducing anepipolar distance transform. The transform converted image intensity values to a relative locationinside a planar segment along the epipolar line, so it was robust to noises. The ratio of the distancesbetween two matching points in the epipolar lines was theoretically proved invariant to an affinetransformation for planar surfaces. To calculate the relative rotation between both cameras, thealgorithm was decomposed into three-steps to limit the distortion. Results show that the new measureis more appropriate for image rectification, and the three-step algorithm has obtained an accuracycomparable result both in estimation error and visual effect, especially when the initial epipolar linesare far from horizontal.
Automation of Machine Health Monitor
Authors: Wang Hua Wei , Yan Bo , Ma Jun
Published: September 2013

In the practice ,the transient state decided by the system character is the key of the automation of machine health monitor process. FFT and Wavelet Transform are the well known techniques in this field. We proposed an solution combined Wavelet Transform with FFT and build a real system to monitor the onshore structures. Unlike other similar systems, our system is automatic through self-calibration and health fault detection, stream data mining of the sensor data acquired from the Motors, Generators .
A Consistency Detection Method of Power Quality Data Interchange Format File
Authors: Huang Xue Liang , Zhou Lei , Li Jun
Published: September 2013

To solve inconsistency problems of Power Quality Data Interchange Format (PQDIF) file, a novel detection method is studied. According to different provincial PQDIF specifications in China, the current application status of PQDIF file is introduced. The inconsistency problems arising in the practical applications are analyzed based on the analysis of PQDIF standard structure. By parsing the tag combinations in data source of PQDIF file, the key tag groups will be obtained. Then by matching the groups with the specification, the consistency test of PQDIF file can be achieved. Finally, the result of data programming shows that the proposed method is valid and practical.
A Denoising Mixed Noise Method Based on Median Filter and Lifting Wavelet Technology
Authors: Qiao Zhong Tao , Gao Feng Qi , Wang Guang Long , Chang Liang Liang
Published: September 2013

In image digitization and transmission, images often suffer contamination inevitably. The noises in images often consist of Gaussian noise and impulse noise. The common denoising algorithms are capable of removing single one of them. In order to remove those two types of noise, a composite algorithm is proposed. Firstly, based on median filter, an impulse noise detection algorithm is used to filter impulse noise. Secondly, adaptive directional lifting wavelet (ADL) and normal lifting wavelet is combined to suppress noise from image signal and protect the texture edge from loss simultaneously. Meanwhile an improved half-soft threshold is used for normal lifting wavelet. At last, simulations show that this technology can suppress Gaussian and impulse noise in image efficiently．
A Novel RFID Authentication Protocol Based on NTRU
Authors: Shi Zhi Cai , Zhou Jin Zu , Xia Yong Xiang , Yu Chao Gang
Published: September 2013

RFID is a key technology that can be used to create the ubiquitous society. Owing to the characteristics of RFID systems, it may pose a serious threat to privacy and security. In order to solve these problems we proposed a novel mutual authentication protocol based on NTRU which can prevent tracing, eavesdropping, replay attack, and backward traceability effectively. This protocol uses less computing and memory resources, and it is very suitable to some low-cost RFID systems.
The Research of United Power Quality Conditioner of Distribution System
Authors: Xiao Li Ping , Tong Chao Nan , Sun Cheng Cheng
Published: September 2013

The working principle and architecture of UPQC is described. On the basis of analyzing the difference characteristic of series part and shunt part, used difference check and control strategies. Some simulation about UPQC are made by using MATLAB software, the results indicate that UPQC has better power quality ability and good application prospects.
Design a Flexible Software Development Environment on NetFPGA Platform
Authors: Tsai Pang Wei , Chou Hou Yi , Luo Mon Yen , Yang Chu Sing
Published: September 2013

Among numerous embedded platforms, NetFPGA provides developers with a freely programmable FPGA component to design custom functionalities in networking. However, most hardware projects are developed based on reference designs without embedded operating system. For hybrid developments on multi-layers, there will be some difficulties to apply. On the other hand, due to the limited resources on embedded platform, both performance and flexibility need to be concerned on implementation. And for networking processing, it is quite difficult to adjust control parameters without software environment. Therefore, this paper proposes an integrated architecture using PowerPC processor on NetFPGA and embedded Linux operating system on NetFPGA platform. This not only provides developers with an environment for software execution which added more flexibility, but also enhanced the system to provide more applied possibilities on development.
Effects of Data's Bit-Width on Digital Logic Design
Authors: Chang Sheng , Cai Heng , Wang Hao , He Jin , Huang Qi Jun
Published: September 2013

Single precision can only achieve 6-7 decimal places, which does not satisfy accuracy demand in many calculations. Double precision can get 13-14 decimal places, but the resource cost is high. In this paper, effects of data bit-width on digital logic design are studied. The accuracy of different bit-width is determined. Then, addition operation, multiplication operation and matrix multiplication with different bit-width are tested on FPGA platform. The results show bit width and circuit design platform have obvious effect on resource cost and circuit efficiency. Finally, a bit-width based circuit design optimization method is proposed.
Effect and Simulation on Control System of Boiler Parameters
Authors: Jiang Bing Hua , Fang Li , Guo Hang Biao
Published: September 2013

In this paper, taking integrated process and control platform as the background , did the research on mathematical model of boiler liner and parameters on the performance of the control system. First, created a mathematical model of the temperature of the boiler liner. Second, selected the PID controller to control the temperature control system in the case of the PID controller parameters remained unchanged. Finally, changed the boiler parameters, analyzed and compared the simulation waveforms of different boiler parameters in order to get the conclusion that different parameters had different influence on the static stability of the temperature control system and the temperature control system had anti-jamming capability.
A Classification Scheme of ECM Spares Based on FAHP
Authors: Zhang Zhong Min , Li Jun Shan , Song Ping , Yan Qi Fei
Published: September 2013

According to the technical features and maintenance support of Electronic Counter Measures (ECM) equipment, this paper proposes a classification scheme for heterogeneous spares based on fuzzy analytic hierarchy process (FAHP). Firstly, the hierarchical structure of the multi-criteria was established by analyzing the criteria impacting item classification; and then the weight vector of each criterion was calculated using FAHP; furthermore, fuzzy comprehensive evaluation was made to construct the fuzzy classification decision model with a sorting method based on the weight vector of triangular fuzzy number using possibility degree. The research work can provide theoretical basis and data support for decision-making of the equipment support sectors.
Research on Automatic Leveling Control System of Casing Rotator
Authors: Lu Xian Bin , Wei Ran , Feng Rui Lin , Wei Jian Hua
Published: September 2013

The leveling system is the key system of casing rotator. It determines the vertical degree of pile, and has an significant influence in construction performance. A automatic leveling hydraulic system with four supports and a biax angle sensor is designed, operation principle, controlling method and system analysis are elaborated as well. Engineering application proves that the designed leveling system can meet the construction requirement with reliable performance and low cost, and control the pile verticality within 1/1000.
A New Coordination Model for Ill-Posed Bilevel Programming Problem
Authors: Jia Shi Hui , Zheng Yue
Published: September 2013

This paper studied the leader how to motivate the follower to maximize its interests for ill-posed linear bilevel programming problem. We first presented a coordination model and gived its corresponding penalty problem. Under some conditions, we established the result on the existence of the solution. Then, an algorithm was developed to obtain a coordination solution to the original bilevel programming problem. Finally, numerical results show that the proposed method is feasible.
The Complexity Analysis for Game Map Based on the Summation of XOR
Authors: Li Yan , Zhou Zhen Hua , Zhao Wen Ju , Zhao He Ling
Published: September 2013

The complexity of map scenes of computer games has important influence to the degree of games difficulty, and it is also the key factor of pathfinding performance. In this paper, a kind of maps complexity metric index which based on the accumulation of xor is defined. The index calculates map complexity through accumulating the xor-value of each adjacent cells line by line. The experimental results demonstrates that the metric index is highly relative with the efficiency of A* and HPA* algorithm. It can provide reference for the design of game maps.
A Virtual Machine Scheduling Strategy Based on Grouping Genetic Algorithm in Cloud Environment
Authors: Jin Gang , Zhang Peng , Liu Lei , Meng Xiang Yu
Published: September 2013

With the emergence of cloud computing, data center is becoming resource pooling and the applications are becoming multi-tenant and heterogeneous which make the server resource load balancing problem become more and more important. In order to resolve contradiction between the heterogeneous applications and sharing resource pool, we think this problem as a multi-dimensional variable vector packing model. For the NP-hard feature, we design a virtual machine scheduling strategy and it resolve the data center resource balancing problem. The experiment indicated that the algorithm can reduce the number of open physical machine to get the most of it and it not affect the physical machine utilization rate and interior load balancing.
3D Object Classification Using a Two-Dimensional Hidden Markov Model
Authors: Guo Jing , Zhou Ming Quan , Li Chao , Shi Zhe
Published: September 2013

In this paper, we develop a novel method of 3D object classification based on a Two-Dimensional Hidden Markov Model (2D HMM). Hidden Markov Models are a widely used methodology for sequential data modeling, of growing importance in the last years. In the proposed approach, each object is decomposed by a spiderweb model and a shape function D2 is computed for each bin. These feature vectors are then arranged in a sequential fashion to compose a sequence vector, which is used to train HMMs. In 2D HMM, we assume that feature vectors are statistically dependent on an underlying state process which has transition probabilities conditioning the states of two neighboring bins. Thus the dependency of two dimensions is reflected simultaneously. To classify an object, the maximized posteriori probability is calculated by a given model and the observed sequence of an unknown object. Comparing with 1D HMM, the 2D HMM gets more information from the neighboring bins. Analysis and experimental results show that the proposed approach performs better than existing ones in database.
Topological Identification of Complex Dynamical Network with Communities and Node Delay
Authors: Zhang Jiang Ang , Chu Yan Dong , Du Wen Ju
Published: September 2013

Recently, various papers investigated the topology identification and parameter identification of uncertain general complex dynamical networks. However, in many real complex dynamical network systems, there exists community or hierarchical structure and node delay. Based on LaSalle’s invariance principle, in this letter, an adaptive controlling method is proposed to identify unknown topological structure for general weighted complex dynamical network with community and node delay. Illustrative simulations are provided to verify the correctness and effectiveness of the proposed scheme.
Empirical Research of Online Payment Acceptance Factors
Authors: Wang Hong , Jiang Wen Bao , Wang Qiu Yun
Published: September 2013

The research object was online payment acceptance. The research method was questionnaire survey. A total of 250 questionnaires were Issued, 233 questionnaires were recovered, 230 questionnaires were effective questionnaire. The collected data were analyzed by SPSS 19. The research results show that consumption level has not an effect on online payment acceptance, online payment system security and purchase cost have an impact on online payment acceptance. The significant effect values of three variables are 0.544, 0.025, 0.00.
Smart Environmental Protection: The New Pathway for the Application of the Internet of Things in Environmental Management
Authors: Zhao Ying Jiong , Du Bin , Liu Bo Kai
Published: September 2013

The intellectual environmental management can be realized accurately by applying the technology of the Internet of Things (IOT) to sense the environmental monitoring object and to precede the data mining application based on the monitoring. Taking Shanxi Province’s environmental IOT system as an example, this system had been achieved real time monitoring .The monitoring data has been applied to the total pollutant emission reduction verification, pollutant emission charge, administrative penalties, total pollutant emission dynamic management, pollutant emission allowance trade, and environmental mobile law-enforcing system, which provides a solid platform for the environmental management .Applying the technology of the IOT, using the “Whole Circle”environmental management, combining the environmental economic means, the innovation in methods, mechanism and supervision of environmental protection system can be realized.
The Application of Cloud Based on Latent Factor Algorithm in Personalized Recommendation
Authors: Peng Jian Xi , Liu Zhi Yuan
Published: September 2013

Recommendation system is a commercial marketing method. What more, the system could increase adhesion and satisfaction of consumers to the website which brings great commercial benefit to electronic commerce. But with big data ages coming, it makes a great challenge to real-time recommendation system. As for latent factor class collaborative filtering algorithm, a distributed constructed latent factor algorithm based on cloud is presented in this paper. The algorithm could keep collaborative filtering in good recommendation and ensure the real time in massive data environment. The simulation shows that the algorithm could achieve the recommendation efficiently and quickly. High speedup and scalability are proved.
Research on Financial Products and Services Innovation under the Environment of E-Commerce
Authors: Wang Zheng Bo , Liu Jia Peng , Meng Xian Yong
Published: September 2013

Under the environment of E-Commerce, the financial services industry has the new characteristics including business centralization, operating automation, network globalization, intelligentized decision, flexible application, etc. This paper studies the new requirements on financial products and services innovation in the E-Commerce environment. This study shows that rapidly developing information technology has contributed to fully exploit the potential advantages of financial products and services, including intelligentized decision, networked management, etc. Moreover, the study indicates that the technological and competitory factor has the most significant impact on the level of financial innovation, which can optimize and perfect the allocating efficiency of financial resources. Meanwhile, the financial services system must be able to effectively prevent various network attacks, and to carry out an effective financial risk evaluation mechanism so as to strength management level of financial innovation.
A Case Study of AGV Scheduling for Production Material Handling
Authors: Pan Xiao Yong , Wu Jiang , Zhang Quan Wei , Lai Dong , Xie Hai Long , Zhang Chen
Published: September 2013

This paper studies the scheduling problem of material handling by AGV in complex stochastic production lines. We establish the AGV distribution rule that each AGV is responsible for only one zone, thus reduce the muti-vehicle problem to single-vehicle problem. Its difficult to use exact model to solve the problem since the scheduling problem is related to the time issue. Most literature adopts heuristic or meta-heuristic methods. We build discrete model to solve the problem based on the special structure of our problem, adding constraints only when loading and unloading events happen. The computational results demonstrate that our model can effectively solve the AGV scheduling problem.
Solving MRCPSP by a Hybrid Genetic Algorithm
Authors: Li Yan , Gibson Lloyd
Published: September 2013

In this paper we present a genetic algorithm for the multi-mode resource-constrained project scheduling problem (MRCPSP), in which multiple execution modes are available for each of the activities of the project. To solve the problem, we apply a hybrid genetic algorithm, which makes use of nonrenewable resource feasibility checking procedure, local search based mutation and topological sort procedure. We present detailed computational results for the MRCPSP, which reveal that our procedure is effective in solving the problem.
The Influence of Training Step on Price Forecasting Based on Support Vector Machine
Authors: Pan Lu , Rong Sheng Ji , Yu Chang Hui , Jin Chun Xia , Zhu Quan Yin
Published: September 2013

In order to obtain suit commodity price forecasting model and help consumers have the better reference resources when they buy mobile phones, cell phones price forecasting on training step is discussed in this paper. One year price for ten types mobile phone which extracted from http://www.jd.com/ is used as the original data to improve Support Vector Machine (SVM) model based on the training step. According to this forecasting method, the experiments are implemented under the different training step for different types cell phones depend on the accuracy rata. Comparing the experimental results with the original data, the forecasting average accuracy obtains 94.48 percent. But with the training step growth, the efficiency of model is cutting down unceasingly. Experiment results prove that the research is meaningful and useful and it is not only for consumers, but also for businesses in the cell phones market.
Financial Distress Study Based on PSO K-Means Clustering Algorithm and Rough Set Theory
Authors: Wu Peng , Liu Cheng
Published: September 2013

The traditional financial distress method normally divided samples into two categories by healthy and bankruptcy. And the financial indicators are typically chosen without using a systematic and reasonable theory. To be more realistic, this paper selected all the companies in a certain industry as the research objects. Twenty-one financial indicators were primarily chosen as the condition attributes, reduction set was obtained by matrix reduction identification based on rough set theory. Then PSO-based clustering algorithm K-means was used to divide subjects into 5 categories of different financial status. The decision-making table was formed with the reduction set using the classification as a decision attribute. Finally, we tested the reasonableness of the classification and generated early warning rules together with rough set theory to evaluate the financial status of listed companies. The results showed that PSO-based K-means algorithm was able to reasonably classify companies, at the same time to overcome the subjective impacts in the artificial measure of financial crisis level. Data generated using this method agreed with the rough set theory for up to 87.0%, thus proving this method to be effective and feasible.
The Influence Factors of the Incentive Mechanism of Chinese Enterprises‘ Horizontal Integration
Authors: Luo Fang , Ye Guang yu , Lan Hai Lin
Published: September 2013

In the process of Chinese enterprises horizontal integration, it is the key factor affecting the effects of integration that the choices of the incentive mechanisms between parent-subsidiary companies, which is also a hot issue urgently to be solved in present practice and theory. This paper analyzes these factors that influence choices of the incentive mechanism in horizontal integration, respectively from perspectives of the institutional environment, industrial environment, enterprise managerial tradition and managers cognition. It also puts forward the research model of the factors influencing choices of Chinese enterprises incentive mechanism, in order to guide enterprises‘ horizontal integration practices in our country.