Reasoning Method Based on Motorcycle Design

According to the needs of setting up a professional system based on motorcycle design,the CBR(case based reasoning) and RBR(rule based reasoning) methods are introduced.After discussing the difference between the two kinds of reasoning,a method of integrating them into the motorcycle design flow is put forward to realize the design reusable technology and improve the design efficiency,by using the CBR in the step of selecting the similar motorcycle and the RBR in project's modification according to correlative rules.     

Study on the Price-estimation of the Land-rental with Case-based Reasoning System

In this paper the theory of Fuzzy Mathematics is used to set up the case-based reasoning(CBR) mathematic model system on the price-estimation of the land-rental and the related process and conditions of its application are suggested.The calculation example of CBR in land business demonstrates that the CBR model is effective;it can be used as the reference for the decision-making on estimating the price in land business.     

Extension association analysis method for product family configuration

A product family extension configuration method based on evaluation model for customer demands, relational mapping and extension association rules is introduced to better realize rapid and effective product configuration. A demand-based evaluation model is confirmed by the information of customer demands and a mapping relationship between demand-based model and characters of product family cases is built. The similarity between evaluation model and product family cases is up to the association rules and a product family case with the highest similarity can be extracted according to association rules. According to the situation of the similarity, the extracted case is modified to meet the demands of configuration with case-based reasoning method. The method is validated by a speed reducer case.     

A New Pricing Contract of EPC General Contract： The Application of Target Contract

Due to very large scale of general contract projects, the scope of projects is always uncertain when the contractor bids and the difference between the planned and actual volumes of projects is very large. If a lump sum contract is used to establish the price, contractors thus must take high risks. The contract price is always high, and both owners and contractors show unwillingness to optimize technology under lump sum contract conditions. Owners are inclined to extend the norm and scope of projects. Such situations may result in additional costs. As a new pricing contract, a target contract fits the situation when project scope is not fully defined or the forecasting risks are high. Such a contract can bring both sides enthusiasm for technology optimization and substantially reduces project cost. Therefore, a target contract is suitable for EPC general contract pricing.     

农村土地资源纠纷：利益博弈与乡村治理——基于古村的案例分析

为了深入解读农村土地资源纠纷,采用文献研究法、案例研究法,对发生在古村的土地资源纠纷的案例调查为基础展开研究。试图分析该村土地纠纷的产生、应对的全貌,并分析整个过程中的利益博弈状况,探寻各方力量在化解中的博弈过程,探究多元纠纷解决方式的构建与乡村治理运行诸问题,从而提出应对土地纠纷化解的乡村治理策略。各种力量在土地资源所涉及的利益博弈过程中利益失衡而产生纠纷,这些纠纷通过正式制度设置与非正式制度安排加以化解,促使乡村社会的管理将转向较科学的乡村治理。     

面向顾客需求的在线匹配定制方法

在线定制的产品涉及到设计、生产等复杂环节,所以定制品的方案设计及其可行性等信息的快速反馈是实施在线定制的难点。提出基于CBR（case-based reasoning）的匹配定制方法,减少定制时间避免不必要的重复设计。首先运用层次分析法和质量功能展开确定需求工程设计权重;结合模糊数学修改高斯函数,构造出一种具有接近客观现实、方便处理、区分性强等优点的匹配度计算方法;利用Beta分布构建机器学习方法,得到随市场偏好变动而调整的匹配度阀值。其次针对顾客对不同产品的价格敏感度不同,引入调节因子修正最终匹配值对比匹配阀值从而获得定制产品的设计方案及可行性并反馈。最后以电冰箱定制为例,证明该方法有效且易于实施。     

RBR在植物生长发育中的作用研究进展

植物胚后发育中新器官的形成受细胞分裂和分化的严格调控,植物RBR(RB-Related)是人类神经胶质瘤易感蛋白(RB)的同源蛋白,它作为细胞增殖的负调控因子,已被证明广泛参与一系列植物生长发育的调控过程。为深入了解其作用机理,笔者归纳了不同植物中RBR蛋白的表达调控特征;综述了拟南芥RBR1参与调节细胞周期和生长发育过程的作用机制研究进展;提出了RBR1以蛋白质相互作用为主要调控方式的调控网络,并分析了今后有待阐明的问题和研究方向,以期为RBR相关的研究提供参考。     

Analysis and Discussion on Settlement of Disputes under Some Civil Engineering Contract Conditions

Firstly the incapability of supervising engineers in dealing with disputes is discussed. This paper analyzes the similarities and differences between the methods of disputes settlement under the provisions of the new edition of FIDIC Conditions and the two main domestic civil engineering contract conditions.It is argued that the DAB proposed by the new edition of FIDIC Conditions and the dispute mediator suggested by the Irrigation Works, Water and Electrical Works and Civil Engineering Construction Contract are reasonable and necessary.     

Diagnosis approach based on failure mode importance of causality diagram

Causality diagram methodology is a probabilistic reasoning, which can be applied to fault analysis. However, it lacks analysis on the importance of failure mode. The importance of failure mode is introduced to develop causality diagram methodology, which is successfully applied in fault analysis of gas explosion in colliery. The study shows that causality diagram based on importance of failure mode is an effective qualitative and quantitative method to analyse faulty, evaluate system safety and provide feasible countermeasures to prevent accidents.     

Three-dimensional Random Damage Prediction Model of Concrete Caused by Freeze-thaw

In order to effectively assess the damage of concrete in freeze-thaw condition, prediction model for concrete frost damage is presented based on damage mechanical theory and the experimental test. The degeneration of tension strength of air-entraining concrete is tested after freezing and thawing. Provided with the fact that the degeneration of concrete is an interior damage evolving process, freezing and thawing damage accumulation of concrete is analyzed based on the discrete grid with probability of stochastic method. And Three-dimensional multi-parameters Weibull distribution model about concrete damage evolutions is presented. Parameters are estimated based on gradient method, and the mathematical model is verified according to the tested data. Corresponding algorithm is designed and programming is completed by C + + programming language to establish concrete durability prediction model under freeze-thaw conditions. It is indicated that the damage of concrete develops in nonlinear way as the freezing and thawing increases.     

Identification of maize brace-root quantitative trait loci in a recombinant inbred line population

Brace roots are vital constituents of the root system in maize. Their contribution to plant development is affected by brace-root traits (BRTs) including tier number (TN), root number (RN) and radius of the brace root (RBR). However, the genetic control of BRTs still remains elusive. Here, we have identified quantitative trait loci (QTLs) from 207 recombinant inbred lines of BY815/K22 grown in three environments to dissect the genetic architecture of BRTs in maize. All three of BRTs were highly heritable and were affected by genotype, environment and the interaction between them. RBR was positively correlated with both RN and TN. Eight QTLs were identified, 3 for TN, 3 for RN and 2 for RBR, and located on chromosome 1, 2, 9 and 10. They together explained 26.4% (TN), 21.5% (RN) and 13.4% (RBR) of phenotypic variation. Sixty of annotated genes were identified from the narrower QTLs by the bin-map method, including genes for signal transduction, gene expression regulation, and metabolism and related processes. The results also show that the interaction may occur between QTLs for BRTs. Our results can help to further study the genetic basis of BRTs and improve the approaches to control maize brace-root system through SNP marker-assisted selection.     

Optimize graphics reasoning technlogy and its application on sheep diseases curing expert system

Expert system is a program system that prossesses special knowledge and esperience, is reasoning solving process which simulates experts according to special konwledge and espericence with artificial intelligence. This paper discusses the decision-making technology and method of expert system based diagram reasoning, the optimized diagram reasoning is also pointed out. The development technology and method of sheep diseases curing system is expatiated.     

基于“互联网+”的“食品工艺学”课程思政教学模式研究——以安徽科技学院食品工程学院为例

为了探究基于“互联网+”的“食品工艺学”课程思政课堂教学内容、教学模式和教学方式的改革,提出了一种利用“互联网+”平台优化课堂教学生态、提高教学有效性、提升教学质量的教学方式,从而展示课程思政基础理论,提高课程理论,建立和谐、新型师生关系,建立与教育实际相结合的“食品工艺学”“互联网+”的课程思政网络机制。     

Incentive Mechanism for Team Cooperation Based on Implicit Side Contract

Aiming at the free-riding problem in team incentive, this paper designs a dynamic incentive mechanism based on implicit side contract with dynamic game theory by introducing the reasonable assumption that there is horizontal monitor in team production. The theoretic analysis indicates that the dynamic incentive mechanism, in which a strict group incentive compatibility contract is taken at the first stage and an individual incentive compatibility contract is taken at the second stage, can implement team cooperation uniquely in the general condition of risk aversion and stochastic production by only two stage repeated game.     

A comprehensive evaluation method of fuzzy matter element for CNC equipment quality

A comprehensive evaluation method based on fuzzy matter element analysis is proposed to solve problems of multiple performance and quality evaluation for computer numerical control (CNC) equipment. The fuzzy matter element theory is utilized to analyze multi-scale quality characteristics and attributes. Then, the comprehensive quality evaluation model for CNC equipment is founded by using fuzzy matter element analysis method. Analytic hierarchy process (AHP) and information entropy are applied to obtain the objective index weights. Furthermore, the combinational weight is calculated with the optimal mathematics model based on the least square method. Finally, the fuzzy matter element method is used to determine the assessment result. The case study indicates that the method has a certain rationality and feasibility.     

Constructing organization network for community-oriented collaborative product design

Community-oriented collaborative design is an emergent form of collaborative product development, in which the range of collaborative partners extends to wide area community members. It is difficult to construct the organization network because the accurate features of the wide area community members are hard to access. Aiming at this problem, an organization network constructing method based on bidding mechanism is proposed. First, the bidding process based on contract net with confirmation protocol (CNCP) is presented. Then, considering the false profit declared by the bidders, a multiple rounds bidding process combined with genetic algorithm (GA) is used to get the best sub-projects allocation scheme, in which the total payment of sub-projects is minimal and the project due time is satisfied. A case analysis shows that the method can eliminate the false profit declared by the bidders and provides an operable way to construct network organization for community-oriented collaborative design.     

Uncertain reasoning model for the rocket safety decision system

In view of the complexity of the measuring environment and uncertainty of the a prior knowledge for rocket aviation,a rocket safety control system based on uncertainty reasoning is proposed.The uncertain representation and processing of the knowledge in expert systems are established according to the characteristics of the parameters .Following the characteristics of the decision rules and decision procudure,the reasoning control strategy is studied and the method for conflict resolving strategy and searching strategy is proposed.Then,the uncertain matching rules and the feasibility degree delivering method are expressed,and the decision-making network and the rule-based uncertainty reseaoning model were constructed.Simulation experiments show that this system can acquire the craft launching information quickly and accurately,which greatly improves the reliability and authenticity of safety control decision for rocket aviation,and can control the rocket aviating state effectively.     

Contracts of risk sharing of the enterprise, the employee and the dealer

The output of the enterprise changes with the change of natural states, therefore it brings relatively great risk to enterprise. The enterprise hopes to reduce the same kind of risk through more contracts than one kind of contract of risk sharing. This paper presents a new method to disperse the same kind of risk in two kinds of ways. Basing on principal-agent theory, through the optimum contract of risk sharing, the Pareto-optimum solving is solved-the optimum contract of risk sharing. The employee shares some risks through the optimum contract of risk sharing between the enterprise and the employee-when the output is high, the employee's income increases; when the output is low, the income decreases. In order to reduce the risk of the enterprise further, the dealer also shares the risk. To maximize the utility of the enterprise, the Pareto optimum solving is given-another optimum contract of risk. The dealer offers following contract of risk sharing to the enterprise-when the output is high, the dealer receives the repayment; when the output is low, the enterprise is compensated. The enterprise, the employee and the dealer share the risk together, thus the risk of the enterprise is reduced to relatively great degree.     

Determination to Weighting Coefficient of Combination Forecast Based on Rough Set Theory

The problem of determination to weighting coefficient is a key and difficulty for combination forecast. A method of determining weighting coefficient based on rough set theory is showed in this paper. Determining weighting coefficient is translated into estimating significance of attributes among rough set. A relation data model about combination forecast is established. Knowledge systems are built through making attribute value into eigenvalue. Under data moving, the weighting coefficients of a combination forecast model are computed by analyzing the dependence and significance of forecasting method for the predicted object. The proposed approach overcomes the subjectivity of traditional determination to weighting coefficient, avoids computing linear or nonlinear extremum problem and makes combination forecast more objective. The validity of the proposed approach is verified with a case.     

Design and Application of Compensatory Fuzzy Neural Network Based on Adaptive Learning Rate Method

To overcome the disadvantages of general networks such as slow convergence speed and being unable to combine with the expert knowledge etc,the authors introduces compensatory fuzzy neural cells,integrate the powerful knowledge expressiveness of fuzzy system and the excellent self-learning of neural network,and present a novel Compensatory Fuzzy Neural Network(CFNN) based on Adaptive Learning Rate Method which changes the learning rate using Adaptive Learning Rate Method in dynamic way.Finally this method is applied to the actual case.The result proves that it not(only) can adjust parameters properly on line,but also can optimize relevant fuzzy reasoning in dynamic way,fasten training rate.