bluuebunny/crossref_metadata_2025 huggingface dataset:
Experimental Study on an Automatic Graft Robot for Fruits and Vegetables
Authors: Zhang Lu , Wang Zhe Lu , Zhang Lei
Published: January 2011

The graft robot (named ZSTU-GR01), developed by authors, is an automatic machine for grafting fruits and vegetables with parallel insert method. The objective of this research is to test the performance of ZSTU-GR01 automatic graft robot and find out the most suitable seedling parameters for grafting. Thus a PLC program and a grafting experiment for graft robot were developed. The experimental results showed that the total grafting speed was 514 seedlings per hour, and total success rate was 84%. Eight independent comparison experiments showed that the most suitable seedling parameters for grafting were: rootstock diameter 3.5-4.5(mm); scion diameter 2-3(mm); rootstock stem and scion stem straight; angle of rootstock cotyledons close to 180 degrees.
Manufacturing Resources Optimization Deployment for Complicated Parts Based on Network
Authors: Peng Wen Li , Zhang Wen Ni , Jin Hai Ming
Published: January 2011

Agility of physical manufacturing unit is the competitive advantage in the global manufacturing environment. It is believed that the agility can be realized by dynamically optimization deployment of networked manufacturing resources. To solve this problem, logical manufacturing unit (LMU) and logical manufacturing process (LMP) are proposed and defined to decompose and model networked manufacturing task according to the process of complex part. When selecting manufacturing resources for these manufacturing tasks, many factors should be taken into account. However, manufacturing cost, time to market and manufacturing quality are the most important factors. In this paper, networked manufacturing resources pre-deployment is carried out to find candidate manufacturing resources based on manufacturing resources abilities, such as part family, geometric feature, material type, rough type, dimension range, machining method, precision grade and production type. Then, taking transportation time and cost besides manufacturing time, cost and quality into consideration, the objectives and restrictions of manufacturing resources optimization deployment are analyzed, and manufacturing resources optimization deployment problem is considered as a multi-objectives optimization problem.
A GA Based Measurement Method for Discontinuous Curve Fitting
Authors: Chen Hung Jen , Chueh Hao En , Huang Deng Yang
Published: January 2011

Discontinuous curve fitting is the task of finding a suitable function which is best fitting to a given set of data points. Once the expression forms of function and of error are determined, curve fitting is regarded as an optimization problem. In this paper, a measurement method is proposed to optimize curve fitting problem. The proposed method is based on genetic algorithm, namely GAOCF (GA based Optimizer for Curve Fitting). The main advantage is that the proposed GA based method can skip the local optimum solutions, and find out better solution in a huge searching space. Consequently, some arc data will be used to verify the feasibility and effectiveness of the GA based measurement method proposed in this paper.
The Study of Risk Caused by Personnel Change of Organs and Institutions
Authors: Liu Li Zhao , Tao Yuan , Wang Ying , Li Mao Qing
Published: January 2011

This paper has studied the impact of personnel changes within the organs and institutions, proposed a risk cost function and a personnel-change impact function. By establishing a risk cost model which will show the relationship between the changes in personnel and the risk of the changes, what’s more, bring forward an N-order open-stack model which can provide an effective method to research the personnel changes in organs quantitatively, the author finally gave out a unified dual-drive model dealing with the personnel changes in organs and institutions and proved it effective with the Unmanned Aerial Vehicle Group of simulation modeling as well as the necessity to monitor and control the changes in personnel.
Research of Word Sense Disambiguation Based on Soft Pattern
Authors: Jia Ke Liang
Published: January 2011

Word sense disambiguation (WSD) is always an important and difficult problem that requires to be solved in Nature Language Processing. This paper presents a new WSD method which is based on soft pattern matching. The method can learn the soft patterns from the sense of the ambiguous word and its context, to construct a soft pattern - based database. At last the sense of the ambiguous word is labeled by choosing the sense with the maximum matching degree between the ambiguous word context and the soft pattern. The experiment result shows that the method has high precision.
Fast and Non-Destructiveness Discrimination of Varieties of Fragrant Mushroom Using Near Infrared Spectroscopy
Authors: Nie Peng Cheng , Zhang Weiong , Yang Yan , Wu Di , He Yong
Published: January 2011

Visible/near-infrared spectroscopy (NIRS) is the millimeter wave ,It is the high speed and non-destructiveness method, high precision and reliable detection data, is a rapid and non-destructiveness method for discrimination varieties of Fragrant mushrooms by means of VIS/NIR spectroscopy was developed in this study. The relationship between the reflectance spectra and Fragrant mushrooms varieties was established. The spectral data was compressed by the wavelet transform (WT). The features from WT can be visualized in principal component (PC) space, appeared to provide a reasonable clustering of the varieties of Fragrant mushrooms. The fivet principal components computed by PCA had been applied as inputs to a back propagation neural network(BP) with one hidden layer. The 220 samples of four varieties were selected randomly to build BP model. This model was used to predict the varieties of 40 unknown samples. The predict recognition rate has achieved 99.5%. This model was reliable and practicable.
The Research of Ontology Mapping Based on PSO Algorithm
Authors: Zheng Li Ping , Li Guang Yao , Jiang Hua , Li Jun Qing
Published: January 2011

The key of ontology mapping is to compute concepts similarities. In order to decrease errors, the computation of similarity should consider the influences of relations and attributes. In this paper, a computation method of similarity based on PSO is put forward. At first, the semantic similarity of concepts is computed. Then compute the relation similarity and the attribute similarity. In order to decrease the computation quantity, the attribute priority is specified by PSO algorithm. At last, the attribute with high priority is chosen according to the user need. Take two ontologies as example and specify the attribute priority. Experiments results show that this calculative method can improve the precision of results and reduce the calculated quantities.
ANP Evaluation on the Comprehensive Benefit of Land Consolidation Project in the Arid Areas of Northwest China - Illustrated by the Case of Gaoyan Mountain Land Consolidation Project in Yuzhong County of Lanzhou
Authors: Liu Chun Fang , Shi Pei Ji
Published: January 2011

Land consolidation has played an important role in improving land utilization rate , ecological environment and the sustainable utilization of land resources. It has significant function to evaluate the comprehensive benefit of land consolidation scientifically, reasonably and effectively. This article discusses the definition and function of land consolidation and the significance of comprehensive benefit evaluation. ANP method is introduced in comprehensive benefit evaluation. Combined with the selection principle of evaluation indices, the evaluation index system was obtained, based on which, we established the evaluation model. Using the ANP method, a wealth of uncertain, fuzzy and random factors involved in evaluation process as well as interaction of the factors can be analyzed and treated reasonably. The instance analysis of Gaoyan Mountain land consolidation project proves the correctness of the model and the practicality of the ANP method, which has significant reference value for the comprehensive benefit evaluation of land consolidation project in the arid areas of northwest China.
The Study of Agent-Based Distributed Computing
Authors: Huang Jun , Guo Liang , Wang Le , Qui Zhao
Published: January 2011

. On the basis of a case study of agent-based distributed computation, we develop a more integrative perspective on agent-based system theoretically and experientially.We construct a multi-agent system which exchange KQML message by a mobile agent based on IBM Aglet mobile developing platform and IBM JKQML.Compared with existing distributed computing model, our multi-agent example improves the computational efficiency.
Novel Verifier-Based Three-Party Protocol for Key Exchange and Authentication
Authors: Yang Jun Han , Cao Tian Jie
Published: January 2011

The verifier-based key exchange protocol for three parties deals with the authenticated key agreement process between two clients with the help of a trusted server who have to store their verifiers in the server for authentication. Recently, Liu et al. proposed a key exchange protocol for three-party based on verifier authentication and claimed that their protocol could resist many familiar attacks. Unfortunately, we find out that the proposed protocol is insecure against off-line guessing attack and impersonation attack. In this paper, we conduct a detailed analysis on the flaws of Liu et al.’s protocol. In addition, a new protocol is presented with security analysis.
A Study on the Cluster Innovation Based on Weighted Knowledge Network
Authors: Peng Ying , Yang Zhao , Xu Jian Rong , Ming Fu Cheng
Published: January 2011

Today the industry cluster in developing countries comes to the bottleneck which is “big but not strong” because of excessive reliance on cost competition and lack of innovation ability. Therefore, industry cluster in space does not mean the economic competitive, the innovation network is the source of competitive advantage in the cluster. Gradually, how to promote the innovation network of industry cluster in developing countries becomes an urgent problem to explore and solve. In this paper, we review the knowledge network in the industry cluster and the weighted complex network, analyze the mechanism of cluster innovation, and at last give the tactics in order to create continuous momentum for the cluster innovation. The conclusion of this paper has some significance as reference for those policy-makers who try to improve industry cluster innovation.
Application and Prospects of Packaging Technology of MEMS
Authors: Feng Xian Zhang , Chen Liang Ji , Cheng Jun Wei
Published: January 2011

Micro-electromechanical systems is called MEMS for short, it is the product of mutual integration for the micro-electronics and micro-mechanics, which covers mechanical, electrical, physical, biological and other modern technology. MEMS packaging is a key technology that has been developed based on electronic package technology. In order to strengthen the development of packaging process of MEMS, in particular, which are low cost, materials and packaging technology and has an ideal effect. The characteristics of MEMS packaging technology based on MEMS technologies are introduced, and the future development tendency and application of MEMS device packaging are previewed in this dissertation.
Study on Safety Monitoring Method in Production
Authors: Lv Rui Hua , Wang Wei Ya
Published: January 2011

Based on emerging issues and new trends in the production safety work, This paper will reveals the characteristics of production safety accidents and laws, and explores the monitoring method of safe production run, and provides better basis of decision making for the safe production conditions can be effectively controlled.
Address Analyzer Based on the Maximum Matching Algorithms
Authors: Zhou Shu Min , Chen Rui , Tang Bin
Published: January 2011

Based on the analysis of current zip code, this article put forward a new encoding algorithm of the address tree - the largest matching algorithm. This algorithm combines the characteristics of the address tree, considering the uniqueness of the address tree, raises a best matching theory, and taking into the matching speed of the address tree, brings in the associate floors of the node of the address tree to improve the efficiency of the match. Because of the change of the address tree, the address tree’s thesaurus in order to timely update its information, increase unknown node by intelligent means automatically.
Research on Domain Ontology-Based Intelligent Information Retrieval System
Authors: Zhang Shu Dong , Chen Yan
Published: January 2011

Domain ontology introduces a new theory and method for information retrieval. In this paper, we analyze the deficiencies of traditional information retrieval and explore the relationship between domain ontology and information retrieval, as well as the basic design ideas of information retrieval based on domain ontology. Finally we present a domain ontology-based intelligent information retrieval system, so that the information retrieval can be promoted from the keyword level to the semantic level. With the rapid development of the national economy and the growth of information resources, traditional methods relying on the browser, database fields, keyword matching, or even manual retrieval query has become increasingly difficult to meet people's information retrieval needs. How to quickly and accurately identify the needed information resources has become a urgent question in front of us. Information retrieval is a technology which can find out the relevant information the user needs from a collection of large amounts of information. It has experienced manual retrieval, computer retrieval stage, now it has developed to the network and intelligent stage. The objects of information retrieval extend from a relative closed, stable and consistent, centrally managed information content by an independent database to an open, dynamic, quickly update, widely distributed, and loosely managed web content; the users of information retrieval also spread from professional intelligence agent to the common including government officials, businessmen, managers, teachers, students, professionals, etc. They ask for the higher and more diverse requirements from the results to the manner of information retrieval. Adapting to the need for network, intelligence and personalization is a new trend of information retrieval technology.
Generation and Characteristics of a Class of Four-Dimensional Multiwavelet Packets with Six-Scale Dilation Factor
Authors: Chen Qing Jiang , Wei Zong Tian
Published: January 2011

In this paper, we introduce a class of vector-valued wavelet packets of space , which are generalizations of multivariate wavelet packets. A procedure for constructing a class of biorthogonal vector-valued wavelet packets in higher dimensions is presented and their biorthogonality properties are characterized by virtue of matrix theory, time-frequency analysis method, and operator theory. Three biorthogonality formulas regarding these wavelet packets are derived. Moreover, it is shown how to gain new Riesz bases of space from these wavelet packets.
Influence of Number of Gene Loci on Prediction of Animal Phenotype Value Using Back-Propagation Artificial Neural Network
Authors: Li Xue Bin , Yu Xiao Ling , Zhang Xiao Jian
Published: January 2011

Vast amount of bioinformation immerged in the past, HapMap Project had genotyped more than 3.1 million Single Nucleotide Polymorphisms (SNPs) information by 2007, a prediction equation based on SNPs was derived to calculate genomic breeding values. However, the simple mathematical function could not reflect the complex relation between genome and phenotypes. Unlike the methods of regression, artificial neural networks could perform well for optimization in complex non-linear systems; artificial neural networks have not been used to calculate genomic breeding values. In this paper, back-propagation neural network is used to simulate and predict the genomic breeding values or polygenic genotype value, and the different numbers of gene loci and hidden neurons were used to discuss the influence of the learning rate on estimating the polygenic genotype value. The result showed normalization was very important for training prediction model. After phenotype value normalized, optimum neural network for estimating the animal phenotype could be established without considering the gene number, but the optimum neural network should be selected from amount of neuronal networks with different hidden neuron number. No matter what the gene number is, as well as the number of hidden neurons is right, BP networks could be used to predict the animal phenotypes.
Evaluation of the E-Money Risk Based on ANP
Authors: Sun Ping , Wang Hui
Published: January 2011

Electronic money as major trading and payment tool has become an irreversible worldwide trend instead of traditional bank notes. The Analytic Network Process (ANP) was used in the paper for evaluation of the E-money risk. ANP is a feedback and interdependence process developed on the basis of AHP.
The Nice Characters of Biorthogonal Four-Element Wavelet Packets with Two-Scale
Authors: Li Yu , Feng Jin Shun
Published: January 2011

In this article, the notion of orthogonal nonseparable four-dimensional wavelet packets, which is the generalization of orthogonal univariate wavelet packets, is introduced. A new approach for constructing them is presented by iteration method. A novel approach for constructing two-directional biorthogonal wavelet packets is developed. The biorthogonality property of four-dimensional wavelet packets is discussed. Three biorthogonality formulas concerning these wavelet packets are estabished. A constructive method for affine frames of is proposed.
Comparison of Calibrations Modeling for Determination of Protein of Mushroom Base on Middle Infrared Spectroscopy
Authors: Nie Peng Cheng , Yang Yan , He Yong
Published: January 2011

Middle infrared spectroscopy combined with chemometrics was investigated for the fast determination of protein of mushroom. 140 samples (35 for each variety) were selected randomly for the calibration set, whereas, 40 samples for the validation set. After some spectrum preprocessing, linear modeling method (PLS) and nonlinear modeling LS-SVM were constructed. Different latent variables were used as inputs of LS-SVM. The optimal models were obtained with 8 LVs based on LS-SVM. The correlation coefficient,,root mean square error of prediction for the best prediction by LV-LS-SVM were 0.9275, 0.25961. The result indicated that middle infrared spectroscopy combined with LV-LS-SVM could be applied as a high precision and fast way for determination protein of mushroom.
Research on Mobile Interconnect Protocol of Hierarchical Distributed Ad Hoc Network
Authors: Yang Lu Gang
Published: January 2011

Efficient and reliable mobile interconnect protocol lays foundation for rapidly mobile networking of wireless Ad hoc network. Aimed at the contradiction between the requirements of practical application and the mobile IP protocol of Hierarchical Distributed Mobile Ad hoc Network (HD-MANET) in existence, one mobile interconnect protocol for HD-MANET was proposed based on the abstracted hierarchical distributed network configuration, which binds the commonness of mobile interconnect and the individuality of HD-MANET networking, so it can meet the application requirements of typical HD-MANET. Simulation experiment based on OPNET verified that the hierarchical distributed mobile interconnect protocol can greatly decrease network overhead and shorten the average time for node switching.
Research on Information Distribution Optimization of Multi-Federation Interconnected Tactical Communication Simulation Training
Authors: Zhang Jian Shi , Fang Zhi Yi
Published: January 2011

Multi-federation interconnected structure is the support structure that adapts to large-scale tactical communication network joint training. It needs to organize the distribution and transmission of various kinds of data effectively to assure high efficiency training. Aiming at the information distribution problem of multi-federation interconnected tactical communication network simulation training process, the single federation structure and multi-federation interconnected structure were brought out. Based on the region discerption of training scale and data classification of data, aiming at the characteristics of network traffic, networking parameters and operation state data, the specific solutions were proposed, so that the information distribution in the simulation training was optimized
Optimal Operation Sequence of Hole-Making with Multiple Tools in Manufacturing: A PSO Evolutionary Based Approach
Authors: Hsieh Yi Chih , Lee Y.C. , You Peng Sheng , Chen Ta Cheng
Published: January 2011

This paper studies the optimization of hole-making operations with multiple tools in which a hole may require various tools to its final size. The objective of this problem is to minimize the summation of tool airtime and tool switch time for the hole-making operations. As known, the problem is NP-hard. In this paper, we show a property that any infeasible permutation of hole-making operations can be transformed into a feasible one. Based upon this property, we apply a PSO based approach for solving a benchmark hole-making problem with the number of feasible operation sequences up to 5.41031. Numerical results indicate that the applied PSO approach can find superior solutions for the benchmark problem in the literature.
Virtual Product Development and Reliability Design of Camera Cover
Authors: Kuang Wei Hua , Chen Li Si
Published: January 2011

The paper finished the design of injection molding by UG MoldWizard module, and realized numerical simulation and analysis of injection process by MoldFlow software. Best gate location was obtained. Fill time was deeply studied. Though the mold designing process, it completed the CAD/CAM/CAE integration of the injection molding, and achieved the optimal design of the mold. NC machining of the mold core was programmed by UG NX software. CAD/CAM/CAE greatly improved the development efficient of the mold.
Improved Attack-Resistant Collaborative Filtering Algorithm
Authors: Zhou Li Juan , Xu Ming Sheng , Geng Hai Jun
Published: January 2011

Collaborative filtering is very effective in recommendation systems. But the recently researches have proved the collaborative filtering is significant vulnerable in the face of profile injection attacks. Profile injection attacks can be identified to some attack models. The attacker can easily bias the prediction of the system based on collaborative filtering algorithms. In this paper, an improved algorithm based on Singular Value Decomposition is proposed. Some dimensions are chosen by the improved algorithm to find capture latent relationships between customers and products. In addition, the robustness of the algorithm is improved by the way. Several experiments are conducted. The results suggest that the proposed algorithm has advantages both in robust and stable over previous algorithms.
Research on Algorithm in Association Rule in an Early Warning System of College Students
Authors: Zhou Li Juan , Li Shuang , Zhang Zhang
Published: January 2011

The student early warning is a type of the problem that involves intelligence factor and non-intelligence factor and indetermination factor, the challenge lies in ascertaining early-warning factor. In this paper, basing on analyzing association rule and the principle of Apriori algorithm, a new Apriori algorithm has been designed for solving complexity of predictors in an early warning system of college students. At first, make sure the count K of item gathering the largest frequent itemset. Then directly make the largest frequent itemset LK by the items, whose count of item is larger than K or equal to K. We can acquire the k-1、k-2 frequent itemset with the same method. We carry on an experiment on the new algorithm. As a result, the efficiency of the new Algorithm is raised obviously. And along with data quantity aggrandizement, the time consumed changes inconspicuously. That is to say the algorithm keeps very high efficiency.
Manufacturing and Testing of Adiabatic Array Multiplier for Micro Power Digital Systems
Authors: Hu Jian Ping , Yu Xiao Ying , Liu Bin Bin
Published: January 2011

Power-efficient multipliers are essential for micro systems, where low-power signal processing hardware is demanded. This paper presents an adiabatic array multiplier based on PAL-2N (pass-transistor adiabatic logic with NMOS pull-down configuration) circuits. It is composed of a multiplier array containing partial product generators and 1-bit (half and full) adders, and a final carry-lookahead adder. For comparison, a conventional array multiplier is also implemented. Full-custom layouts are drawn, and HSPICE simulations are carried out using the net-list extracted from their layout. The adiabatic and conventional array multipliers have been embedded in a test chip, which have been fabricated with Chartered 0.35um process and tested to verify its function.
Face Detection Using PSO Algorithm
Authors: Li Zhi Jie , Duan Xiao Dong , Liu Xiao Dong , Wang Cun Rui
Published: January 2011

This paper presents a new method using PSO for face detection, which does not utilize training samples. The method is based on the edge density of the image. In the preprocessing stage a face is approximated to a rectangle. Then PSO algorithm is applied to search for the best rectangle region. The rectangle area with best fitness value will be detected as the face region. Simulation results show that this PSO-based method is convergent and effective, especially for the case of images with the non complex background.
Bio-Inspired Engineering: A Promising Technology for the Conservation of Historic Stone Buildings and Sculptures
Authors: Liu Qiang , Zhang Bing Jian , Zhu Hui
Published: January 2011

The conservation of historic stone buildings and sculptures is receiving growing attention from many fields because of increasing bad weathering. At present, special attentions are paid to development of new protective materials. In this paper, we review that some findings of crude protective film of biomimetic materials on the historic stone buildings and sculptures, discuss their biological origin, and propose an approach to prepare the protective agents through the biomimetic method. Moreover, an overview of the Principle of biomineraliztion and biomimetics syntheses is provided. Thus, it is dedicated that the biomimetic synthesis should have great potentialities in applied protective methods and should represent a new prospective in stone conservation.
A Novel Hybrid Optimization Algorithm Based on Multi-Agent and Particle Swarm
Authors: Shi De Jia , Jiang Wei Jin , Ding Xiao Ling
Published: January 2011

A novel multi-agent particle swarm optimization algorithm (MAI'SO) is proposed for optimal reactive power dispatch and voltage control of power system. The method integrates multi-agent system (MAS) and particle swarm optimization algorithm (PSO). An agent in MAI.SO represents a particle to PSO and a candidate solution to the optimization problem. All agents live in a lattice-like environment, with each agent fixed on a lattice-point. In order to decrease fitness value, quickly, agents compete and cooperate with their neighbors. and they can also use knowledge. Making use of these agent interactions and evolution mechanism of I.SO. MAPSO realizes the purpose of' minimizing the value of' objective function. MAPSO applied for optimal reactive power is evaluated on an IEEE 30-bus power system. It is shown that the proposed approach converges to better solutions much faster than the earlier reported approaches
Simulation of VOC Diffusion of Plastic Packaging in the Vehicle Cabin
Authors: Jiang Fan , Xiao Zhong Min , Liang Zhong Wei
Published: January 2011

VOC emission of plastic packing of automobile instrument panels to be harmful for personnel health, in order to effectively control VOC diffusion, needs to analyze the rule of VOC diffusion in the vehicle. In this paper, multi-component model is used to analyze VOC distribution of instrument panel plastic packaging, and influence of the diffusion time, the running status, the well ventilated mode is investigated. The results show that near the panel imports, VOC diffusion is accelerating, and spread to backward along with the time lapse; the automobile movement has propelled to VOC diffusion; ventilation mode had a greater impact on diffusion too.
Integration of Knowledge and PDM for Collaborative Design in Networked Circumstance
Authors: Hou Jun Ming , Yang De Xu
Published: January 2011

Collaborative design is a new product development to react to the global market. Integration methodology of PDM and knowledge management is proposed in the paper for the increasing the requirement. The methodology is to establish a structure for the collaborative design of the project, design, process, proceed and product. The design is related to the collaborative design which is the main part of the system. Firstly, the basic conceptions are introduced, which can assist to acknowledge the methodology. Secondly, the steps of establishing the integration are proposed, which are eight steps for it. Knowledge management and PDM method are applied for system. Finally, the integration of the system is established. A real example is proposed to introduce the methodology, which is important for the integration of system.
Research on the Analytical Method of the Contributing Factors of Settlement Generation
Authors: Song Jing Hua , Yu Yang , Zhu Ying
Published: January 2011

Major factors in settlement generation can be summarized as four aspects, the natural environment factor, the social ethic factor, visual esthetics factor, socioeconomic contributing factor etc. nowadays numerous analyses are being conducted in these four aspects, however the vast majority of them are partial, one dimensional researches and the results are often remote from the actual effects. From the perspective of human settlements, the author made a general research by means of systematic approach and discussed how to effectively combine these four aspects to form an evaluation system based on the effect of settlement generation, in order to obtain an ideal outcome of settlement generation.
Multi-Stage Production Planning Modeling of Iron and Steel Enterprise Based on Genetic Algorithm
Authors: Jiang Guo Zhang , Kong Jian Yi , Li Gong Fa , Xie Liang Xi
Published: January 2011

In accordance with the main flow characteristics of steel and iron production process, some problems are analyzed coming from the making, performance and feedback of the production planning of iron and steel business enterprises in this paper. By using operation research theories and genetic algorithms, one advanced planning model of iron and steel productions suitable of various circumstance and environments is established to set up on the factor of the segment and environment variety. Penalty function is adopted in the course of getting solution. These parameters of scale of father population, crossover probability, mutation probability and penalty factor are combined and optimized. At the same time, to improve these algorithms and the solution process actually, some optimized models and projects were put forward from some plans on the basis of collecting information. It accords with the actual conditions of this enterprise basically that the optimization solution to production plans of real iron and steel enterprise by using the algorithm.
Assessment of Flight Simulator Fidelity for Pitch Task
Authors: Gao Jian , Zheng Shu Tao , Li Hong Ren
Published: January 2011

Flight simulator fidelity is assessed in pitch task. In the introduction of the assessment for the flight simulator fidelity, the assessing method is specified, and then the required subsystem models are described. The results of an example with pitch task show that the assessing procedure is quite contributive
Error Analysis and Precision Evaluation of Reconstructed Surfaces in Reverse Engineering
Authors: Wu X.M. , Yu G.B. , Li Gui Xian , Shan De Bin
Published: January 2011

Analysis and evaluation to quality and precision of reconstruction model is an important technique in reverse engineering, determining avail and accuracy of reconstruction model. Error analysis and precision evaluation have been done to reconstruction model based on measured mouse data. The origin of error has been gotten, data measuring and processing method which can reduce error have been prompted.
Intelligent Control and Management Integrated System of Coke Oven
Authors: Li Gong Fa , Kong Jian Yi , Jiang Guo Zhang , Xie Liang Xi
Published: January 2011

In order to improve the level of control and management of coke oven, the research on control and management integrated system is carried out. In modern advanced control system of coke oven, the control scheme of feedback combined with feed-forward, and control merged with management is widely used. The integrated control and management system of coke oven is introduced systematically, including the system model, production planning and management, heating control system, the model and method of evaluating temperature, intelligent combustion control and the pressure control gas collector of coke oven. It is pointed out that the integration of control and management is the developing orientation of coke oven control system.
Optimization of Production Procedure in Iron and Steel Enterprise for Green Manufacturing
Authors: Li Gong Fa , Kong Jian Yi , Jiang Guo Zhang , Zhang Hua , Zhao Gang , Xie Liang Xi
Published: January 2011

Green manufacturing is an effective way of realizing the sustainable development strategy. From the view of evolution of production chain and goods value, energy-saving, cleaner production and green manufacturing of iron and steel industry is discussed and the importance of system optimization of steel manufacturing process is stressed. Connotation of green manufacturing for the iron and steel was explained, the function of steel production process for green manufacturing was discussed and the content system of implementation of green manufacturing for the iron and steel enterprise was established. Finally the steel production process was optimized. The function of iron and steel manufacturing procedure are broaden-manufacturing function of steel product, function of energy conversion and function of waste recycling, which will enhance enterprise’s competitiveness and sustainability.
Intercrossed Microstructures of Hydroxyapatite Sheets of Tibia Bone
Authors: Chen Bin , Yuan Quan , Luo Ji
Published: January 2011

The observation of scanning electron microscope (SEM) showed that a tibia bone is a kind of bioceramic composite consisting of hydroxyapatite layers and collagen protein matrix. All the hydroxyapatite layers are parallel with the surface of the bone and consist of numerous hydroxyapatite sheets. The observation also showed there is a kind of intercrossed microstructure of the hydroxyapatite sheets. In which the hydroxyapatite sheets in an arbitrary hydroxyapatite layer make a large intercrossed angle with the hydroxyapatite sheets in its adjacent hydroxyapatite layers. The maximum pullout force of the intercrossed microstructure, which is closely related to the fracture toughness of the bone, was investigated and compared with that of the parallel microstructure of the sheets through their representative models. Result indicated that the maximum pullout force of the intercrossed microstructure is markedly larger than that of the parallel microstructure.
Classification of Automobile Lubricant by Near-Infrared Spectroscopy Combined with Machine Classification
Authors: Zhao Yun , Xu Xing , He Yong
Published: January 2011

The main objective of this paper is to classify four kinds of automobile lubricant by near-infrared (NIR) spectral technology and to observe whether NIR spectroscopy could be used for predicting water content. Principle component analysis (PCA) was applied to reduce the information from the spectral data and first two PCs were used to cluster the samples. Partial least square (PLS), least square support vector machine (LS-SVM), and Gaussian processes classification (GPC) were employed to develop prediction models. There were 120 samples for training set and test set. Two LS-SVM models with first five PCs and first six PCs were built, respectively, and accuracy of the model with five PCs is adequate with less calculation. The results from the experiment indicate that the LS-SVM model outperforms the PLS model and GPC model outperforms the LS-SVM model.
Crack Propagation Simulation for Epoxy Asphalt Concrete Pavement
Authors: Luo Sang , Qian Zhen Dong , Chen Chun
Published: January 2011

Crack is one of the major distresses in asphalt pavement. Although epoxy asphalt concrete demonstrates higher distress resistant ability than traditional asphalt concrete, crack initiation and propagation is also inevitable due to traffic and environmental impact. Among the three typical crack modes, the Mode I crack usually appears in epoxy asphalt concrete pavement. In this paper, the model of crack propagation in epoxy asphalt concrete pavement is proposed and simulated through finite element method in conjunction with virtual crack extension approach. The eight-node singularity element was used at the crack-tip. And the node shift/release technique is adopted for modeling propagation of the crack tip. Results show that J-integral is path-independent due to the small plastic zone around the crack tip and suitable to evaluate the fracture behavior for epoxy asphalt concrete pavement. Two inflexions on the curve of J-integral vs. crack length indicate that epoxy asphalt concrete pavement have three phases in crack initiation and propagation: crack initiation, stable crack propagation and unstable crack propagation. Finally, the equation describing the relationship between J-integral and displacement is provided in this paper.
Drawing and Analyzing Project Governance Social Networks
Authors: Ding Rong Gui , Liu Fang , Sun Tao , Sun Hua
Published: January 2011

Dyadic interaction between a single project and an individual stakeholder has largely been the focus of research. But an increasing number of projects, in essence, are a multi-organization social network system. Study on the project governance social networks will be helpful to visualize and understand the project governance structure and governance strategy selection in specific condition. Therefore, we try to study methods to draw the social networks in project governance, discuss the configuration of the networks, and analyze the relationship between social network structures and stakeholders’ strategies.
A Novel Logistics Supplier Selection Model Based on BP
Authors: Li Ji Qiu
Published: January 2011

Logistics supplier selection is a comprehensive appraisal influenced by many factors and the key is to choose a method of evaluation reasonably. In this paper, we use BP neural network, starting with the statistics of listed logistics supplier, to train weights of appraisement indexes in self-organization. This method overcomes the impact of the results by subjective factors that exist in the AHP and fuzzy assessment, leads evaluation results to be a relative objectivity and provides a more effective method for the selection of listed logistics supplier.
Novel Protocol Model Design of Wireless Sensor Real-Time Control Network
Authors: Ye Ming
Published: January 2011

Wireless sensor real-time control network is important construction part. With same Real-time system, this network need Real-time and reliability. Modern network mainly is Ethernet. This network speed is fast than the older, the simple protocol, the lower cost and integrate TCP/IP technique in the IT world. But because its self mechanism decide that it is a no-realtime network. This paper propose a novel wireless sensor real-time control network protocol model based on Ethernet hardware, including protocol logic, communication strategy logic, server logic, communication control logic and CMIB. At the same time, this paper introduce work flows and main function of main constructing part of this real-time protocol model.
Study on Solidification Technology and Safety Assessment for Sewage Sludge
Authors: Sun Jia Ying , Xu Yi Dong , Geng Jian , Ye Shu Min
Published: January 2011

In the light of heavy metal contents such as Pb and Zn in municipal sewage sludge exceeding the allowed maximum value of discharge wastes in China, new solidification technology was taken to solidify sewage sludge; its effect and safety were studied as well. The experiment results showed that the 28 days compressive strength of sewage sludge concretion were more than 40 MPa by this solidification method and a relative excellent advantage of road performance properties such as residual Marshall values and rutting resistance for asphalt mixture prepared with sewage sludge concretion. Meanwhile, its solidified heavy metal infusion met the requirements of the national standard, in other words, heavy metal ions receiving an effective bound and stable solidification.
Mode Decision Strategy for I-Frames in H.264/AVC Based on Low-Pass Filter
Authors: Qin Huan Chang
Published: January 2011

For the purpose of reduce the complicated process of H.264/AVC standard, the overall coding flow is studied, and some of the key technolies are discussed in the front part of this thesis. An algorithm for determining the distortion for different data partitions in H.264/AVC is proposed. A low-pass filter is implemented for each macroblock; after the macroblock is smoothed by this filter we compare the result of the filtered macroblock with the original data and generate the difference between them. Then the basic candidate-mode class is determined based on the difference, and the further mode decision can be made within this sub-class. So that the number of candidate modes is reduced, and the complexity of I-frame mode decision process is reduced.
The Application of Data Mining Technology in Mechanical Fault Diagnosis
Authors: Lin Yun Feng , Hu Xiao Ping
Published: January 2011

This article first introduced the survey of mechanical fault diagnosis technology development and the data mining technology theory. Then its application situation at present and the main questions that exist are elaborated. Its development trend is analyzed. The application feasibility of using data mining technology in mechanical fault diagnosis is discussed. Next, the naissance, the development and the future development tendency of data mining technology are introduced. The four algorithms are analyzed and the framework is built too. Intelligent Diagnosis is a major development direction of the fault diagnosis. Knowledge acquisition is the bottleneck of Intelligent Diagnosis development. It comprehensive use of many kinds of advanced technology, discover valuable and hidden knowledge from the large amounts of data mining.
Nondestructive Determination of Citric Acid Using Successive Projections Algorithm and Spectroscopic Techniques
Authors: Liu Fei , He Yong
Published: January 2011

Successive projections algorithm (SPA) combined with least square-support vector machine (LS-SVM) was investigated to determine the citric acid of lemon vinegar by 13 wavelengths within visible/near infrared (Vis/NIR) spectral region. Five concentration levels (100%, 80%, 60%, 40% and 20%) of lemon vinegar were prepared, and the calibration set consisted of 150 samples, validation set consisted of 75 samples and the remaining 75 samples for prediction set. After the comparison of different preprocessing such as smoothing, standard normal variate and derivative, SPA was applied to extract the effective wavelengths to reduce the redundancies and collinearity of variables, and the multiple linear regression (MLR) models were developed compared with partial least squares (PLS) models. Simultaneously, the selected wavelengths were used as the inputs of LS-SVM, and a new proposed combination of SPA-LS-SVM model was developed. The results indicated that SPA-LS-SVM achieved the optimal prediction performance, and the correlation coefficient (r) and root mean square error of prediction (RMSEP) were 0.9894 and 0.0623, respectively. An excellent prediction precision was obtained. The overall results demonstrated that it was feasible to utilize Vis/NIR spectroscopy to predict the citric acid of lemon vinegar, and SPA-LS-SVM model achieved the optimal prediction precision. This study supplied a feasible method for the process monitoring of fruit vinegar manufacture and fermentation.
Mechanical Behavior of 2D C/SiC Composites at Elevated Temperatures under Uniaxial Compression
Authors: Suo Tao , Li Yu Long , Liu Ming Shuang
Published: January 2011

As Carbon-fiber-reinforced SiC-matrix (C/SiC) composites are widely used in high-temperature structural applications, its mechanical behavior at high temperature is important for the reliability of structures. In this paper, mechanical behavior of a kind of 2D C/SiC composite was investigated at temperatures ranging from room temperature (20C) to 600C under quasi-static and dynamic uniaxial compression. The results show the composite has excellent high temperature mechanical properties at the tested temperature range. Catastrophic brittle failure is not observed for the specimens tested at different strain rates. The compressive strength of the composite deceases only 10% at 600C if compared with that at room temperature. It is proposed that the decrease of compressive strength of the 2D C/SiC composite at high temperature is influenced mainly by release of thermal residual stresses in the reinforced carbon fiber and silicon carbon matrix and oxidation of the composite in high temperature atmosphere.
Study on Dynamic Response and the Effect to Center Level Height of Periodic Symmetric Struts Support
Authors: Gheni Mamtimin , Liu Wei Bing , Yu Lie
Published: January 2011

In this paper, in order to overcome the technical difficulty of center level height of Periodic Symmetric Struts Support (PSSS) by using the test in the field and reduce the high cost of testing, the method of the finite element analysis by considering thermal condition and the dynamic response is used and the center level height of PSSS is evaluated. Some relations for center level height changing process of PSSS were found and some parametric effects are obtained for the stability analysis of gas turbine by changing the number of struts support and angle.
Numerical Study on Aeolian Sand Ripples Forming and Moving Process in Desert Highway
Authors: Ablimit Abdurahman , Gheni Mamtimin , Xu Zhong Hua , Tursun Mamatjan , Abdikerem Xamxinur
Published: January 2011

In this paper, the sand break into highway problem in desert, which is caused by the sand flow blown by wind, is studied. The mathematical models are introduced by considering the fixed, semi-fixed and free sand desert fields based on the fluid dynamics and the sand particle dynamics. Different kinds of numerical models are made by changing the desert highway height, wind flow direction and its uniformity. The weak coupling method is used due to spatial relationships between air flow field and the sand flow field. Finally, by coupling the airflow field and sand flow field with desert highway, the numerical simulations of sand forming process on desert highway are conducted. The numerical results shown, that the wind blown sand breaks into highway easier when wind direction perpendicular highway and if the highway height higher than the range size of the sand surface the wind blown sand break into highway is more difficult.