bluuebunny/crossref_metadata_2025 huggingface dataset:
The Security Analysis of Supply Chain Network Based on the Complex Network
Authors: Fu Pei Hua , Liu Yan Chu
Published: November 2010

Supply chain network is a complex giant system and its complexity determined by the structure of network. A new security analysis method of supply chain network is proposed in this paper , which concentrate on the topology structure security of networks based on complex network theory. According to the complexity of network topology and its kinetic characteristics, we found that the growth of supply networks with scale-free properties, which is robustness on the random attack, but fragile on the selected attack. This paper propose two options to improve supply chain network survivability, the one is to protect these core enterprises; the other is the formation of local alliance between enterprises.
The Development of an Environmental Risk Emergency Management Decision Support Information System
Authors: Chen Bo , Ge Yong Hui
Published: November 2010

According to the characteristics of an environmental risk emergency management decision support information system, this paper builds a complete system outline and structure, using a C/S and B/S hybrid structure and loose integrated model. It proposes the system implementation techniques route, designs the system function modules and database, completes the database construction and the main system functions.
The Study of Specificities of Interaction between Peptides and MHC Molecules
Authors: Liu Tao , Zhang Zhan Xin , Wei Huan , Hu Hong Kui , Wang Feng Ming
Published: November 2010

Determining which peptides bind to a specific major histocompatibility complex (MHC) class I molecule is not only helpful to understand the mechanism of immunity, but also to develop effective anti-tumor epitope vaccines. In order to further study the specificity of MHC class I molecule binding antigen peptide, the support vector regression (SVR) and four amino acid descriptors were used to build four models of predicting binding affinities between peptides and MHC class I molecules. Comparison among performances of the four models indicated that the model based on physicochemical properties of amino acids is more satisfying (AC=75.0%, CC=0.499). Furthermore, the specificities of MHC class I molecule binding antigen peptide were obtained through analysis based on the contribution of the amino acids to peptide-MHC class I molecule binding affinities in the predictive model.
A Unified Approach for Analysis of Randomized Response Surveys
Authors: Hong Zhi Min , Yan Zai Zai
Published: November 2010

In this paper, we propose a class of estimators for the population mean of a sensitive variable, taking account into a generic randomization scheme, under the simple random sampling with replacement (SRSWR), when the mean of a supplementary non-sensitive variable is known. The minimum attainable variance bound of the class is obtained and the best estimator is also defined. We prove that the best estimator acts as a regression estimator which is at least as efficient as the corresponding estimator without the auxiliary variable. A new measure of privacy protection is built, and some models can be compared from the perspective of efficiency and privacy protection.
Dynamic Analysis of Stochastic Finite Element Based on Sensitivity Computation
Authors: Mo Wen Hui
Published: November 2010

Material properties, geometry parameters and applied loads are modeled as random variables. Sensitivity of linear vibration is formulated. If displacement vector is not sensitive to a parameter, we regard it as constant. If displacement vector is very sensitive to a parameter, designer should modify its datum and provide a rational tolerance. The numerical example demonstrates the proposed method. Stochastic finite element that does not analyze sensitivity is unreasonable.
Vertical Search Engines on Forestry
Authors: Zhang Fan , Feng Xiu Lan , Yuan Jin Sheng
Published: November 2010

With the rapid growth of forestry information,the amount of information on forestry is increasing rapidly. Comprehensive search engine is powerful,but its speed and accuracy of industry search is limited, owing to a host of information. According to the definition of vertical search engines,Heritrix Web Crawler and full text search framework of Lucene,this paper is mainly concerned the information of capture,indexing and search strategies in order to achieve an ideal forestry vertical search engine design. Experiments compared with comprehensive have proved the effectiveness of the proposed method.
Analysis of PDR Passenger-Sharing Rate Based on Service Attributes
Authors: Zhou Tong , Fang Hua
Published: November 2010

With safety, comfort, convenience, fast, economy, punctuality advantages and high service effectiveness, the introduction of passenger-dedicated line (PDL) will attract passenger volume assumed by other modes of long-short distance passenger transportation in terminal transportation system as part of its traffic component, named the transferred volume. Meanwhile, PDL will stimulate the potential travel demand to generate induced passenger volume. The volume of terminal passenger flow is of great significance in building PDLs, passenger railway stations, and transportation terminals. From the perspective of transportation mode service, by employing passenger-sharing rate model, Xi'an terminal is presented to estimate and analyze the long and short distance passenger transferred volume and the induced volume which it undertakes after introducing PDL.
The Research of Neural-Fuzzy Inference System Model for Arm of Excavator Robot
Authors: Wang Fu Bin , Liu Jie , Chen Zhi Kun , Guo Da Meng
Published: November 2010

To improve the trajectory planning control accuracy of the working device of excavator robot when working for excavation, reduce working device of excavator robot to be the two joints two dimension robot arm composed of arm and bucket when analyses. Creating inverse kinematics model, need to relate to terminal position and orientation space of bucket and joint space and cylinder space of working devices to plan trace, so that to control excavator robot in each space. Because of the geometry complexity of inverse kinematics, the nonlinear of electro-hydraulic system, the uncertainty and non-uniqueness for inverse mapping, lead to the difficulty of trajectory planning. To improve the precision for tracking desired trace, obtaining inverse kinematics mapping between terminal trace and joint angle, use two adaptive neural-fuzzy inference system(ANFIS) to learn inverse mapping relations between (x, y) two joint coordinate and joint angle, create ANFIS inverse mapping model. Select I/O curve data of inverse mapping to train ANFIS structure, obtain I/O mapping curve of fuzzy model, realize the aim of obtaining corresponding joint angle based on given desired excavation trace. Use the model to trace expected motion trace finally, indicate by simulation that trace precision can meet the actual demands.
Institutional Innovation：Guarantee of Agricultural Industrialization Operating Performance - Take the “Lihua Mode” as an Example
Authors: Sun Yan Hua , Liu Xiang Hui , Zhou Fa Ming
Published: November 2010

How to ensure the operating performance of farmer in the agricultural industrial production process is very important. This paper take the unique institutional innovation pattern of agricultural industrialization such as “company +cooperative+peasant household”as a example，and analyzes the motivation of why to Create the mode、 highlight of institutional innovation and operation performance. The results showed that the mode ensures the households' main position through institutional innovation in the agricultural industrial production process，and it is feasible to coordinate the interest conflict between the company and the peasant household through cooperative，and if the main position of cooperative can be really implemented that the effects of institutional innovation will be more good.
The Numerical and its Application in the Interval Estimates and Hypothesis Test
Authors: Wang Xin Chun , Ma Xing Hua , Han Bing
Published: November 2010

The whole unknown parameters estimation and hypothesis testing is the most common and most commonly used statistical inference,so clarify the relationship between them is very important.Clearing both unity and not uniformity will help to amend the emergence of some specious argument of statistical work. In this paper, some differences were analyzed on interval estimation and hypothesis testing of statistical inference theory,the scope of their application of two methods was discussed, the dualityof Neyman —Pearson hypothesis testing and confidence interval was described Then provided the method of determining the unknown parameters’ confidence interval in hypothesis test.at the same time, it provided the ideas how to solve the problem of refusal field of hypothesis test througn confidence interval . As the confidence interval of the statistics varies with the selected significance level and sample size, it is heavily influenced by subjective factors.
Influence of Submicron Alumina on Thermal Conductivity of the Filled EVA Encapsulant
Authors: Shen Ming Xia , Cui Yin Xin , Zhang Yao Ming
Published: November 2010

An elastic co-film with excellent mechanical properties and adhesiveness, as well as good thermal conductivity, was fabricated based on the composition of a thermal-conductive alumina and ethylene vinyl acetate (EVA) copolymer. Thermal conductivity of the co-films with various particle sizes, amount, surface properties, and so on of alumina were investigated by the laser scattering method. The SEM results showed that the co-film with 16% (volume fractions) of submicron alumina in EVA copolymer had a good interface binding.
An Interval-Valued Fuzzy Reasoning Approach Based on Weighted Similarity Measure
Authors: Zhang Qian Sheng , Yao Hai Xiang , Zhang Zhen Hua
Published: November 2010

This paper presents a new approach for bidirectional interval-valued fuzzy reasoning by employing a weighted similarity measure between the fact and the antecedent portion of production rule, in which the vague terms appearing are represented by interval-valued fuzzy concepts. One numeric example is given to demonstrate the reasonability and flexibility of our proposed approach.
Chebyshev-Legendre Pseudo-Spectral Method for the Modified Kawahara Equation
Authors: Zhao Ting Gang , Liang Yan Tang , Ma He Ping
Published: November 2010

Chebyshev-Legendre pseudo-spectral method was applied to resolve the modified Kawahara equation. The proposed approach is based on Legendre-Petrov Galerkin formulation but only the Chebyshev-Gauss-Lobatto nodes are used in the computation. The Petrov method is considered for the unsymmetry of the fifth-order derivative term appeared in the modified Kawahara equation and Chebyshev-Legendre method is used for reducing the computational complexity. Numerical tests are presented to verify the efficiency of the proposed approach.
Use Piezoelectric Bimorph for the Fiber Bragg Grating Tuner
Authors: Zhang Xiao Li , Liang Da Kai , Zeng Jie
Published: November 2010

A wavelength tunable optical filter based on a fiber Bragg grating using piezoelectric bimorph is realized in this paper, and the tuning condition is theoretically and experimentally analyzed. The Bragg central wavelength of the filter can be easily tuned adopting to a DC voltage. The maximum strain of the central wavelength depends upon the maximum operating voltage, and the tuning range efficiency was as high as 1.2pm/V, the reflectivity, shape and the reflective spectrums of the fiber Bragg grating central wavelength almost keep unchanged before and after tunning. This paper provides a reference for optical fiber Bragg grating tuner.with high efficiency.
Context Aware Service System Supported the Collaborative Management of Distribution Task
Authors: Xiao Liang , Wang Fan
Published: November 2010

Distribution tasks have typical feature of context dependence. Attaining the mission-related dynamic context information service timely and accurately has a significant effect to the execution efficiency of the distribution task. On the basis of the definition of four distribution contexts systematically: network context , product context, customer context, resource context, this paper proposes the model of context management of distribution task, and the collaborative service and process mechanism of distribution tasks base on task context, it is of great value and significance to support the effective implementation of collaborative management of the distribution task in dynamic environment.
Analysis of the Requirements Change for Different Level Users in Software Developing
Authors: Zhang Bao Jian , Zhang Yan Wei , Fu Jun Hui
Published: November 2010

. During the software developing, more and more software designments are failed because of the requirements change. Requirements change has becoming the main error source of software developing, and it directly influences the quality of software. In this paper, we analyze the types of requirements change and its influence on the software developing. Our analysis will provide references for implement of the requirements change in software developing.
Generation of Extended Cut Sequence Set for Dynamic Fault Tree
Authors: Zhang Hong Lin , Zhang Chun Yuan , Liu Dong , Wang Ying Hong
Published: November 2010

The cut sequence describes the failure mode of the dynamic system, whose dynamic behaviors make the generation of cut sequence set very complicated. This paper brings forward the conception of extended cut sequence, which is incorporated with temporal logic and has more expressive capability than previous similar conceptions. According the type of logic gate, the minimal extended cut sequence set is generated using the basic set manipulation (union, intersection, difference and product). The expression form and generation process based on extended cut sequence are more efficient than that based on traditional cut sequence. As an example, apply this method to a famous hypothetical dynamic system. The system is modeled by dynamic fault tree and the minimal extended cut sequences are generated and analyzed. The result shows that this method can quickly acquire precise minimal extended cut sequence set.
The Research on Coal Chemical Industry Chain Development in China Based on Value-Added Model
Authors: Li Xiao Ge , Ma Xing Bin , Gong Shu Yan
Published: November 2010

Based on the view of technical economics, improve on the agricultural value-added model through the introduction of new variables; format the value-added model of coal chemical products. Then take the development of coal chemical industry chain of Yulin City in Shaanxi Province for example, educe the necessity to upgrade its industrial chain. In addition, discuss the strategy to promote coal chemical industry chain from the perspective of strengthening the building of coal chemical industry chain and improving value-added.
Application of Artificial Neural Network for Cotton Boil Spoiling Disease Prediction
Authors: Chen Fu Gui , Zhang Bao Jian , Fu Jun Hui
Published: November 2010

Based on the database of cotton boil spoiling disease in Xinxiang, a computerized intelligent expert system was established by using the Reverse Model of artificial neural network. With its speediness, robustness and 100%predicting accuracy, the system can be used as an effective method to predict the trend of cotton diseases. In recent years, we have seem some reports for which use artificial neural network system to forecast the disease of crops, but the artificial neural network using for predicting cotton boil spoiling disease have not been seen yet. Xinxiang is a city of Henan province of china, according to the survey materials of 10 years, the high output cotton boil spoiling disease break out every 4 years, the average quantity is 1.53, the rate of boil spoiling disease is 11.84%, so the loss is 168.28 . In order to prevent the cotton boil spoiling disease, we should forecast the disease, by doing this, it can increase quantity and quality of the cotton.
Research on the Model and Architecture of Immune-SoftMan
Authors: Ma Zhan Fei
Published: November 2010

Immune-SoftMan (ISM), a new concept, is an immune intelligent entity. ISM lives and acts in the computer network environment. It has great capabilities to deal with some things in certain circumstances without manual intervention and supervision. Comparing with Agent and Robot, ISM not only has more all-around humanized intelligence, humanized behavior and function, but also has the ability of environment identifying, network migration, self-determination and free will. In this paper, the concept, characteristics and individual overall model of ISM are presented. This system model can monitor the distributed dynamic network environment in real time, and alarm and diagnose faults in advance. On the basis of these, a novel ISM architecture is constructed and discussed. The presented architecture can achieve a self-organizing system that is more robust and flexible in dynamic network environment, and can be self-updated locally. ISM’s theory and technology fruits also provide a good foundation and reference for studying the present network security system.
A New Adaptive SSC and SSSC Stream Cipher Model Design and Implementation
Authors: Liu Li Zhao , Hu Xiao Jing , Zhang Tian Hua , Wang Ying , Li Mao Qing
Published: November 2010

To solve the problem of construction for stream cipher key generator and the problem of SSC/SSSC stream ciphers need to relay on the secret channel to transmit the key, it presents a new clock function drive by a clock-control sequence and chaotic cascade function made of multiple Logistic function , which are used to built the self-reference model and chaotic module; it design a adapt controller independent of the key generator and encrypt module, achieve controlling encryption and transmission process by multi-threaded code;it makes a key generator with transformation ranks and wheel key method of AES and S-box of Camellia, which makes the sub-key and the key generator`s internal station become a insufficient condition that does not need to depend on the secret channel, the model achieves a exponential growth in the key space and the same application scope of traditional SSC and SSSC model. The new protocol model features can be seen under the actual operation of modifying RC4 algorithm.
Design of an Intelligent Mini Car Based on AT80C51
Authors: Wang Ying Jun , Zhao Chen Ping , Gao Guo Hong
Published: November 2010

Take AT80C51 microcontroller as the control core, an intelligent mini car is designed and the testing result on its function is given. The system adopts the infrared remote control to realize the startup and halt, and use the ultrasonic sensors to detect obstacles on the road. As a result, it can realize three major functions, such as Infrared remote control, avoiding hitting the barrier, digital display of driving time and mileage. The whole system has simple circuit structure and high dependability. The testing result meets the functional requirements.
Research and Construction on Simulation Traffic Environment with Inter-Car Communication
Authors: Zhang Jin Dong , Gao Zhen Hai , Lin Qin
Published: November 2010

In this paper a specific construction method based on the NS-2 software environment was studied to simulate the inter-car communication and constitutes. And the implementation methods of inter-car communication were described. The simulation traffic environment what we have described have good use to the research of relate technologies in the intelligent transportation systems such as inter-car etc., and have a important meaning to the simulation experiment of inter-car and algorithm.
Research and Design the Primary Two Vehicles Communication System
Authors: Zhang Jin Dong , Gao Zhen Hai
Published: November 2010

For improve the driving safety and the technology development of inter-vehicle communication, the communication system of supply two vehicles based on GPS, wireless LAN and embedded technology was researched and designed. The system could send/receive driving data information between two vehicles, and display the necessary information on LCD for drivers. In the paper, the process of the system been researched and designed was described. Two applications based on the system were proposed. The system was not only to achieve the desired functionality, but also made foundation for later research. It had great practical value, and very important for technologies research of vehicle safety and intelligent transportation systems.
Spatiotemporal Clustering Method for Automatic Estimation of the FDG Input Function for Small-Animal PET
Authors: Sun Li , Zhang Yan Ning , Ma Miao , Tian Guang Jian
Published: November 2010

The plasma time-activity curve is often required as the input function for dynamic quantitative FDG PET studies to estimate the metabolic rate of glucose. The invasive gold standard arterial blood sampling has been suggested, however, it has many inconveniences and challenges in clinical and pre-clinical settings. Thus, the image-derived input function has been proposed to obtain the input function from dynamic images non-invasively. This method often needs a manual drawing of one or two regions of interest (ROIs), which is an operator-dependent and time-consuming task. The aim of the presented study was to capture the spatial and temporal patterns of dynamic PET images for automatic ROI extraction. Our proposed approach tries to overcome the main limitation of image clustering methods: the loss of temporal information for dynamic PET ROI definition. The experiments showed that the proposed automatic ROI method can be used for dynamic PET parameter estimation.
Measuring User Trajectory Privacy in LBSs with Adversarial Background Knowledge
Authors: Wang Cai Mei , Guo Yi Min , Guo Ya Jun , Guo Yan Hua
Published: November 2010

This paper proposes a novel entropy-based metric for evaluating silent cascade which is a prevalent trajectory privacy preserving method in LBSs (location-based services). Within this measure, the trajectory privacy is quantified as the probability of the relevance between the user’s pseudonym before and after each mix-zone. After a period of time, the tracked user may take many potential trajectories from the perspective of the adversary. The user’s trajectory privacy level is calculated using information entropy. The most distinguishable aspect of the measure is to take into account the adversarial background knowledge. We develop methods to describe and quantify the adversarial background knowledge. Simulation results reflect the impact of background knowledge on the privacy level in the metric, and show that this metric is effective and valuable to measure the user’s trajectory privacy level correctly even the adversary has variable background knowledge.
A Smooth Clustering Algorithm Based on Parameter Free Filled Function
Authors: Wu Qing , Yuan Li Xing
Published: November 2010

In this paper, we propose an algorithm to find centers of clusters based on adjustable entropy technique. A completely differentiable non-convex optimization model for the clustering center problem is constructed. A parameter free filled function method is adopted to search for a global optimal solution of the optimization model. The proposed algorithm can avoid the numerical overflow phenomenon. Numerical results illustrate that the proposed algorithm can effectively hunt centers of clusters and especially improve the accuracy of the clustering even with a relatively small entropy factor.
Finding Representative Tags for User Profile Construction
Authors: Wei Jian Liang
Published: November 2010

Every resource in social tagging system have hundreds even thousands tags. To every certain resource, tags always have different popularity. The higher popularity a tag has, the more it suit for represent features of resource. This paper first find Top30 tags are popular tags, but the average tagging rate is quite low while approaching the 30th tag. Thus, six groups of resource that have vary saved times are taken for further analyzing. In all six groups, Top9 tags have high ATR, as well as ATR deviation, which mean these tags have obvious advantages while compare with others. Thus we take Top9 as representative tags. Finally, a user profile construction algorithm is given out based on representative tags.
Stochastic Optimal Dispatch of Power System with Multiple Wind Farms
Authors: Wang Shuang , Yang Hong Ming , Zuo Shuang , Xu Wen Jun , Zhang Bin
Published: November 2010

Wind power at different locations may has a significant degree of correlation. A copula function, in this paper, is employed to characterize the Joint Probability Distribution (JPD) of wind power from multiple wind farms considering their correlation. Based on this, an optimal dispatch model of power system with multiple wind farms is proposed based on Chance Constrained Programming (CCP) to describe the randomness of wind power. And a new method named Sample Average Approximation (SAA) is used to transform the chance constrians in CCP. Finally the Particle Swarm Optimization (PSO) is used to solve the dispatch model. Simulation results show the affectivity of this model and method, which will be highly useful for optimal dispatch of power system with multiple wind farms.
Modeling for Safety Evaluation of Coal Mine Roof Based on Information Fusion
Authors: Jia Rui Sheng , Sun Hong Mei , Zhang Chong Qing , Lv Xue Ting
Published: November 2010

Factors that affect the safety of coal mine roof is a multi-faceted, information fusion technology can take full advantage of multi-source information complementary, comprehensive, and improving information quality and credibility of coal mine roof safety. In analyzing the current monitoring means, a coal mine roof safety evaluation model is presented based on information fusion, and given information processing steps of multi-sensor data analysis, processing, distribution and integration based on Dempster-Shafer evidence theory; For the elimination of multi-source data fusion of uncertain factors, proposed coal mine roof safety decision-making rules; The simulation analysis shows that the validity of the model and practicality.
The Research of Distributed Manufacturing System Based on Agent
Authors: Gao Guo Hong , Guo Mei , Li Nin
Published: November 2010

The intelligence of manufacturing system by using the Agent technology has become a trend. The paper describes the current studies, analyzes the characteristics and problems of the distributed manufacturing system, and combines the advanced theoretical results in distributed artificial intelligence and behavior intelligence; finally it studies the theory and methods of global coordination and control for distributed autonomous manufacturing system based on behavior under modern manufacturing environment.
Internet Based Chinese Language Distance Education System
Authors: Lu Dong , Wu Zhou
Published: November 2010

Distance education is the process of creating an educational experience of equal quality for the learner to best suit their needs outside the classroom. The types of available technologies used in distance education are divided into two groups: synchronous and asynchronous. Synchronous technology is a mode of online delivery where all participants are "present" at the same time requiring a timetable to be organized. Distance education has long had trouble with testing. The delivery of testing materials is fairly straightforward, which makes sure it is available to the student and he or she can read it at their leisure.
The Study on Knowledge Organization for Digital Library
Authors: Zhao Gui Fen
Published: November 2010

Digital library construction needs knowledge organization technologies support. In this paper, we probe into the technologies from three dimensions. The grammatical technologies include metadata, XML, RDF and etc. This type mainly focuses on how to describe data efficiently in terms of the outer characteristics of data. The semantic technologies include Topic map, Ontology, semantic web and etc. They mainly describe the content of data, finding the relations between each other.The pragmatic technologies include grid, database and etc. They want to control the information, and make it used efficiently.
Research on Large Aircraft Industry in Xi'an from View of Industry Chain
Authors: Niu Fei Liang , Liu Du Juan
Published: November 2010

The paper mainly discusses large aircraft project that affects Xi'an local economy and the supporting for it by local government other way. Yanliang district of Xi'an is the only National Aviation high-tech industry. Though deeply analysis the large aircraft market and economic situation of Xi'an with theory of industry chain and Solow Model, then it can be found that the economic interaction between large aircraft project and Xi'an.
A Study on Evalution of HR Outsourcing Providers Based on Multi-Criteria Decision Making with Linguistic Preference Information
Authors: Li Quan
Published: November 2010

In this paper, the problem of HR outsourcing providers evaluation is studied. Based on Extended Ordered Weighted Averaging (EOWA) operator, an approach of multi-criteria decision making with linguistic preference information is introduced to the problem. An illustrative numerical example is also provided to illustrate the feasibility and practicality of the proposed approach.
Realtime Measurement of Temperature Field during Direct Laser Deposition Shaping
Authors: Zhang Kai , Shang Xiao Feng , Liu Wei Jun
Published: November 2010

Direct laser deposition shaping is a state-of-the-art rapid prototyping technology. It can directly fabricate metal parts layer-by-layer without any die, mold, fixture and intermediate, just driven by the laminated CAD model. Accordingly, how to improve the quality of as-formed parts becomes an urgent issue in this research field. It is well known that as for the hot working, the heat history can generate enormous influence on the microstructure and mechanical properties of the parts. Due to the large quantity of heat introduced by laser fabrication process, it is necessary to build a temperature measuring platform to realtime monitor and control the temperature field in the laser fabrication process. As a result, such platform was created to communicate with computer by the temperature data collecting module and interface standard converting module, and achieved the temperature acquisition in the serial communication process through the Microsoft programming software. The experimental result proves the validity of the platform, which can provide effective boundary condition and experimental verification for the numerical simulation. In addition, the desirable temperature distribution can be obtained through the realtime process monitoring and effective parameter adjusting.
Perceptually Optimized UDP-Lite Protocol for 3D Model Streaming among Lossy Network
Authors: Yang Bai Lin
Published: November 2010

This paper proposes a perceptually optimized UDP-lite protocol for streaming the 3D model over lossy wireless network. Before the transmission, the model is divided into perceptually important data and less perceptually important data and constructed into a progressive representation. And then, the progressive model is streamed by the modified protocol based on the UDP_lite protocol. The simulation results demonstrate that end-to-end delay has significant improvement and the graphics quality has no apparent degradation.
AI-VCR Subtraction Realizing with NM
Authors: Ye Qiu Sun
Published: November 2010

In mathematics science, subtraction is rather simple computation of arithmetic. However, no matter what advanced computer in the world, and no matter what backward calculator (such as abacus in China etc.) in people’s hand, to get difference of subtraction is always a NP problem in all the time. Such as capacities of numbers Minuend and Subtrahend, symbols (±) of number value (positive number or negative number), precise computing (PC), computing precision (CP), perturbation motion (PM) in computing of numbers, etc. This paper makes an algorithm of novel subtraction with AI-VCR computation in computer, and gives solutions of avoiding the difference’s overflowing, insufficient valid figures, etc.
A Scheduling Strategy Suitable for Industrial Ethernet and Mine WSN Scheduling System
Authors: Tian Feng , Pan Si Rong , Sun En Yan , Wang Chuan Yun , Liu Hua Yan
Published: November 2010

Aiming at the actual requirement of the System of industrial Ethernet Connectivity of wireless sensor networks in underground coal mine, a dynamic priority scheduling algorithm which is applied in the interconnected gateway is presented. The algorithm can avoid the occurrence of the congestion in the interconnected system. Simulation results show that packet loss rate is controlled within 7 to 15%, service response time is controlled within 2.8~7s and average queue length is stable when the interconnected system is three times than the maximum load. However, when the load of the interconnected system has returned to normal, the gateway enters the steady state that packet loss rate is zero only after 6s.
The Numerical Simulation of Pure-Oil Lubrication Journal Bearing
Authors: Cai Lin , Wang Jin Li , Zheng Hong Tao
Published: November 2010

Viscosity-temperature effect is an important factor for journal bearing calculation, but many scholars ignored the effect of viscosity-temperature, which may produce some error. The simulation of journal bearing oil film flow field is done using CFD, and the viscosity-temperature and cavitation effect have been consider. The results shows that the capacity and temperature rise of the oil film will be overrated when using the constant viscosity of oil. The vapor distribution and static characteristics of the journal bearing have been calculate at last.
Multi-Step Prediction Algorithm for State Prediction Model
Authors: Zhang Zi Li , Song Hong Wei
Published: November 2010

Dynamic Bayesian networks can be well dealt with the time-varying multivariable problem. The state model based on Dynamic Bayesian networks can more accurately describe the relationship between the system state and the influencing factors. In this paper, the width of the reasoning is used to simplify the amount of data in the reasoning process. Multi-step state prediction is achieved by extending time-slice. Experiment has shown that the proposed algorithm can achieve better prediction results.
Self-Sensing Property of Cementitious Nanocomposites Hybrid with Nanophase Carbon Nanotube and Carbon Black
Authors: Luo Jian Lin , Duan Zhong Dong , Zhao Tie Jun , Li Qiu Yi
Published: November 2010

Cementitious composite filled with only 0.1 wt% multi-walled carbon nanotube (MWCNT) (MNTCC), or hybrid with 0.1 wt% MWCNT and 0.5 wt% nanophase carbon black (NCB) (NB/MNTCC), were prepared employing surfactant ultrasonic dispersion and subsequently high-speed mixing process. The electrical resistivities (ρ), compressive stresses (σ), and longitudinal strains (εl) of these cured nanocomposites under cyclic loading (10 times) were simultaneously collected, to investigate their piezoresistivty properties. Results revealed that, hybrid of NCB is very effective for enhancement on the stress/strain sensitivity of NB/MNTCC (the strain sensitivity up to 107, much higher than that of MNTCC 67), but there is almost no improvement on the self-sensing repeatability and variation stability of the corresponding nanocomposite.
Anomalous Human Activity Detection Based on Online One-Class SVM with N-Grams Kernel
Authors: Zhu Xu Dong , Liu Zhi Jing
Published: November 2010

We present a novel online unsupervised anomaly detection method for human activities. The proposed approach is based on one-class support vector machine (OCSVM) clustering, where the novelty detection SVM capabilities are used for the identification of anomalous activities. Particular attention is given to activity classification in absence of a priori information on the distribution of outliers. Activities are represented by variable-length event sequences, but the most commonly used kernels are defined on fixed-dimension spaces. To solve the problem, we develop a novel sequence-similarity kernel, the n-grams kernel. Our kernel is conceptually simple and efficient to compute and performs well in comparison with state-of-the-art methods for anomaly detection. Moreover, most SVM algorithms require large number of memory to store the kernel matrix, or repeated access to the training samples. This makes it infeasible for online anomaly detection. In this paper, we develop simple and computationally efficient online learning algorithms for anomaly detection.
A New Distributed Mining Association Rules Algorithm in Distributed Database System
Authors: Gao Shu Tao
Published: November 2010

The traditional algorithms create the local candidate sets firstly, and then determine whether the local frequent item sets is the global frequent item sets by the traffic between the nodes. The most different between the proposed algorithm and the traditional algorithms is that it firstly generates all the local frequent item sets at each node and then communicates to the top point. At the top point, there are four cases to deal with all the local frequent item sets. For the fastest case, the determination could be made by the completion of round-trip communications. At the same time, all the operations of this algorithm are completed not by traditional data storage but by a new data storage in which the item is considered as the keyword. The method can save storage space, especially for sparse data. So the support can be calculated by the intersection of the transaction sets, which is much easier than by accessing to the database. Finally, the association rules in the distributed database are mined
Study of the Temporary Passengers' Transportation Program during the Spring Festival Season Based on QoSFR Model
Authors: Yan Xiao Yan , Li Yang , Huang Biao , Zhou Quan
Published: November 2010

Today, in china the train dispatching problem and the problem of scattering the sudden passenger flow in minimal time widely appear in railway transportation in spring festival season. We try to apply the computer network to the railway transportation net and solve the problem of scattering the passenger flow in spring festival by using the solutions in computer network. It puts forth a solution to the granularity queue management and the queue dispatching that combines the QoSFR model with the temporary passengers' transportation program during the spring festival season. We should analyze the problems from the perspective of network technology and build up the model of solving spring festival transportation problem by using the solutions to network blocking problem in order to mitigate the serious spring festival transportation problem at present.
Reaction Sintering of NiTi-Ti2Ni-TiC under Cubic High Pressure
Authors: Yang Rui Song , Li Ming Tian , Luo Fang Wei
Published: November 2010

In this paper, NiTi-Ti2Ni-TiC composite powders were first prepared by in-situ reaction in molten salt and then sintered by a cubic high pressure apparatus under 8 GPa to produce bulk composite material at a short time. It was found that the composite was composed of TiC particles embedded in NiTi-Ti2Ni matrix, in which the Ti2Ni encapsulated TiC particles. The martensitic transformation of the NiTi matrix was evidenced by differential scanning calorimetry analysis. The research on the sintering mechanism shows that there may be a reaction like TiC +Ti2Ni 􀃆 Ti2C + NiTi existing under the pressure up to 8 GPa
A Study of Piezoresistivity of Graphite Cement Mortar Specimen Embedded Double Electrodes by a Series Connected AC Circuit
Authors: Gan Wei Min , Li Zhang Guo , Huang Xin
Published: November 2010

Cement mortar shows piezoresistivity after being mixed with small amount of graphite, thus the resistivity of the material will changed with stress. In this study, specimens embedded double electrodes which made of cement based material with small amount of graphite (3 wt.% of cement) are used in the experiments of one-time loading and cyclic loading, and the relative resistivity are measured by a series connected AC circuit. The results show that the specimens’ piezoresistivity goes down while the stress increases, and different curves of piezoresistivity can be observed in experiments with different loading methods. The relative resistivities of the specimen show a similar change as strain.
Laser Cladding of Mg65Cu25Y10/SiC Amorphous Composite Coatings on AZ91D Magnesium Alloy for Improvement of Corrosion Resistance
Authors: Huang Kai Jin , Liu Hou Guang , Zhou Chang Rong
Published: November 2010

To improve the corrosion property of magnesium alloys, Mg-based amorphous composite coatings have been fabricated on AZ91D magnesium alloy by laser cladding using mixed powders Mg65Cu25Y10/SiC. The microstructure of the coating was characterized by X-ray diffraction (XRD) and scanning electron microscopy (SEM). The corrosion resistance of the coatings was tested in 3.5wt.% NaCl solution. The results show that the coatings mainly consist of amorphous and different crystalline phases. The coatings compared to AZ91D magnesium alloy exhibit good corrosion resistance because of the presence of the amorphous phase in the coatings.
Study on Dynamics of a Nonlinear Damping Absorber Coupled to the Linear System
Authors: Tang Si Mi , Zhu Shi Jian , Lou Jing Jun
Published: November 2010

The dynamics of a two degree-of-freedom (DOF) system consisting of a linear system coupled with a quadratic damping vibration absorber is studied. The nonlinear energy pumping phenomenon is verified by simulation and analyzed by Hilbert Transform. Performance of the quadratic damping absorber that is able to absorb vibration over a broad range of frequency (nonlinear energy sink, NES) is studied, and the results are compared with that of the classical linear vibration absorber. The relationship between parameters and performance of the absorber is analyzed, that is significant for engineering application.
Designing of SMS Gateway Based on 3G Technology
Authors: Yan Shi Tao , Wang Jian Ping , Wu Xiao Ying
Published: November 2010

SMS is the widely used service of mobile telephony technology. SMSCs developed by different companies use their own communication protocol and most of these protocols are proprietary. It can be solved using the SMS gateway, the SMS gateway acts as a relay between the two SMSCs. It is able to translate one SMSC protocol to another, and can be used by two different wireless carriers to interconnect their SMSCs. We describe the Structure Of SMS System, the Relation Class of SMS System and the process of designing the SMS Gateway
Optimization of Laser Cladding Forming Parameters by Numerical Simulation to Minimize the Cracking Posibilitys
Authors: Song Jian Li , Li Yong Tang , Deng Qi Lin
Published: November 2010

Laser cladding forming (LCF) is one of the new developed advanced manufacturing technologies. It integrates the advantages of rapid prototyping manufacturing and laser cladding surface modification, and three dimensional near-net-shape metal components can be directly manufactured without dies. Due to the dramatic heating and cooling characteristics of laser cladding forming process, the cladding layers is liable to crack, which greatly impedes the further and wider application of this technology. In this paper, numerical simulation on the three-dimensional transient temperature field and stress field of powder-delivery LCF has been carried out with parametric programming methods. The temperature field, temperature gradient and cooling rate of the laser cladding layer have been obtained. The influences of laser power and scanning speed on the temperature gradient and cooling rate of the cladding layers, especially the cooling rate of solid-liquid interface of the melt pool have been studied, which is tightly correlated with the cracking generation of the deposited layers. According to the simulation, process parameters were optimized to minimize the cracking possibility; LCF experiments have also been conducted to verify the simulation results.
Plan Model for Airway Network Based on Bilevel Programming
Authors: Zhang Ming , Zhang Ting Ting , Han Song Chen
Published: November 2010

Airway network planning has important value to ensure safe and decrease the flight cost. Consideration to economic benefits of the airlines and social benefits of the civil management department, airway network bilevel programming model and the constraints in the demand, traffic capacity, controller’s workload and traffic flow balance is proposed on the combination of road network planning with industrial characteristics of airway network planning. Based on genetic algorithm, the steps of airway network planning model is given. Finally, the model is verified by the sample's computation and analysis.
Research on Function-Structure Mapping Method in Parametric Design Based on Axiomatic Principles
Authors: Jiang Shao Fei , Chen Shuai , Lu Cong Da
Published: November 2010

Most of the input of parametric design system is the specific structure parameter, which is in a detailed design stage. To promote it into conceptual stage, the function-structure mapping problem is proposed. To solve the problem, the function -structure mapping mechanism which is based on logical view and in the framework of axiomatic design is established, the mapping model is solved by optimization method and the mapping procedure is integrated with parametric design system. Function requirements are mapped into a parametric model directly. Finally, a forklift design process validates the method and shows its advantage.
A Study on Location Technology of Humsn Face Gradient Direction
Authors: Zhu Jai Yi , Liang Yun Juan , Li Li
Published: November 2010

In this paper a face location technology based on gradient distributions is presented. It begins with vertical location by use of vertical integral projection on the two-valued image of the original image, and then proceeds with horizontal location according to the distributions of gradient direction. Experiments have proved this technology fast and efficient.
The Inherent Viscosity Test and Hardening Experiment Research to the Polymeric Soil Consolidator of Acrylic Acid
Authors: Tong Bin , Guo Zheng , Li Zheng , Liu Jin
Published: November 2010

Based on the different feed-ratios to the concentrations of initiator((NH4)2S2O8), acrylic acid, acrylamide and prevent-polymerization agent (isopropyl), this article discusses the inherent viscosity of the polymeric soil consolidator and the test of hardening performance. Experiment results indicate that: 1) the relationships between different feed-ratios and inherent viscosity are as the following: with the increase of initiator charging quantities, the sample's inherent viscosity rises, while with the increase of acrylamide charging quantities, the sample's inherent viscosity decreases. When the charging quantity of isopropyl is 6.750 g, the sample's inherent viscosity reaches the max value 32.47 ml•g-1. 2) The addition of polymeric soil consolidator into the soil can improve the performance such as the resilient modulus and california bearing ratio significantly.
Clustering Users According to Common Interest Based on User Search Behavior
Authors: Zhang Pei Ying , Du Ya Jun , Wang Chang
Published: November 2010

The paper presents a novel method to cluster users who share the common interest and discover their common interest domain by mining different users’ search behaviors in the user session, mainly the consecutive search behavior and the click sequence considering the click order and the syntactic similarity. The community is generated and this information will be used in the recommendation system in the future. Also the method is ‘content-ignorant’ to avoid the storage and manipulation of a large amount of data when clustering the web pages by content. The experiment proved it an available and effective way.