Synthetic Evaluation on Decision of Public Bidding for Construction Project

Public bidding is the international current practice to contract construction project. But the decision on the bidding often is made according to the qualitative evaluation based on the subjective opinion of specialists.Therefore, the fuzzy mathematics principle was applied and a synthetic evaluation model was established to provide an effective method for the development of quantitative bidding decision in this paper.     

New Precision Guidance Method Based on Bistatic Synthetic Apterture Radar

A new method is presented to improve guidance precision. This method is based on bistatic synthetic aperture radar. The illuminator works in side looking mode, providing the synthetic aperture and the receiver is disposed on the seeker which operates in the forward looking mode. The receiving antenna is composed of four sub-antennas and so four synthetic aperture radar (SAR) images are to be generated. Target is positioned in SAR images by image matching. The bearing and elevation of image element of target are measured by the principle of monopulse angular measurement. Theory of the proposed method is derived and simulation on bearing measurement is done. Simulation shows that the method is valid and if SNR of target's image is above 30 dB, the angular measuring difference is within the confines of 0.04 degree.     

Content based error resilience coding using redundant coding,reference frame modification,and mode decision

Quality degradation occurs during transmission of video streaming over the error-prone network. By jointly using redundant slice, reference frame selection, and intra/inters mode decision, a content and end-to-end rate-distortion based error resilience method is proposed. Firstly, the intra/inter mode decision is implemented using macro-block（MB） refresh, and then redundant picture and reference frame selection are utilized together to realize the redundant coding. The estimated error propagation distortion and bit consumption of refresh MB are used for the mode and reference frame decision of refresh MB. Secondly, by analyzing the statistical property in the successive frames, the error propagation distortion and bit consumption are formulated as a function of temporal distance. Encoding parameters of the current frame is determined by the estimated error propagation distortion and bit consumption. Thirdly, by comparing the rate-distortion cost of different combinations, proper selection of error resilience method is performed before the encoding process of the current frame. Finally, the MB mode and bit distribution of the primary picture are analyzed for the derivation of the texture information. The motion information is subsequently incorporated for the calculation of video content complexity to implement the content based redundant coding. Experimental results demonstrate that the proposed algorithm achieves significant performance gains over the LA-RDO and HRP method when video is transmitted over error-prone channel.     

BER Performance of Soft Decision Modulations Based on PCSS System

Recently, soft decision modulations become the highlight of parallel combinatory spread spectrum (PCSS) system. Existing soft decision BPSK and APK modulations are given and compared in the thesis. In order to apply soft decision QPSK modulation based on PCSS system, the correlation of superposition PN sequences is discussed. A weighted summation algorithm is adopted in QPSK demodulation to recover the whole orthogonal correlation of the superposition sequences; meanwhile the bit error rate of weighting soft decision QPSK modulation is simulated. The simulation results show that the bit error rate performance of proposed soft decision QPSK modulation based on PCSS system is better than that of hard decision modulation. The method proposed can be widely adopted in engineering application.     

Improved Group Fuzzy Preference Programming Method Based on Fuzzy Random Theory

A new prioritization method in the analytic hierarchy process （AHP）, which improves the group fuzzy preference programming （GFPP） method, is proposed. The fuzzy random theory is applied in the new prioritization method. By modifying the principle of decision making implied in the GFPP method, the improved group fuzzy preference programming （IGFPP） method is formulated as a fuzzy linear programming problem to maximize the average degree of the group satisfaction with all possible group priority vectors. The IGFPP method inherits the advantages of the GFPP method, and solves the weighting trouble existed in the GFPP method. Numerical tests indicate that the IGFPP method performs more effectively than the GFPP method in the case of very contradictive comparison judgments from decision makers.     

Application of simple array method in one-way traffic synthetic asessment

One-Way Traffic synthetic assessing can not only determine the assessment method, hut can also provide an opportunity for further study of road systems. Comparing three Road Traffic Planning methods, which are Value Analysis method, Simple Array method and Step Analysis method, this paper concludes that Simple Array method has one prominent merit, avoiding the complicated relationship of various factors and simplifying the complex problem. Therefore Simple Array method is firstly presented in this paper to be the assessing measure to assess the One-Way Traffic Planning project. Although this assessing method cannot wholly give way to man‘s will, through consistently testing on qualitative factors and with the decision-making results of a multiprogram, this method is still an effeetive method. Using an example of Harbin One-Way Traffic planning, with seven assessing indexes including economic benefit index, Simple Array method is applied to synthetically assessing the program. This fully reflects the general function of One-Way Traffic planning program and objectively evaluates the program. It also proves that, as the method of One-Way Traffic synthetic assessing, Simple Array method is rational and practical.     

Anisotropic fourth-order diffusion regularization for multiframe super-resolution reconstruction

A novel rcgularization-based approach is presented for super-resolution reconstruction in order to achieve good tradeoff between noise removal and edge preservation. The method is developed by using L1 norm as data fidelity term and anisotropic fourth-order diffusion model as a regularization item to constrain the smoothness of the reconstructed images. To evaluate and prove the performance of the proposed method, series of experiments and comparisons with some existing methods including bi-cubic interpolation method and bilateral total variation method are carried out. Numerical results on synthetic data show that the PSNR improvement of the proposed method is approximately 1.0906 dB on average compared to bilateral total variation method, and the results on real videos indicate that the proposed algorithm is also effective in terms of removing visual artifacts and preserving edges in restored images.     

Geometrical constraints of the synthetic method of estimating fundamental matrix and its analysing

The new geometrical constraints, based on the geometrical analysing of synthetic method, are developed to estimate fundamental matrix (F matrix). Applying the new constraints, the four parameters of fundamental matrix could be estimated firstly, and these four parameters are the coordinates of the two epipoles. The other four parameters of the fundamental matrix could be solved by solving the linear equations with the other new constraint secondly, and these parameters represent the homography between the two pencils of epipolar lines. The synthetic data and the real data are used to test the new method. And the method is of the advantages of obvious geometrical meaning, and high stability of the epipoles of the fundamental matrix.     

Research on the Group Decision in Manufacturing Chain

The competition in 21st century will be the competition among different manufacturing chains.Manufacturing chain makes decision not only the core enterprise of the manufacturing chain but also a group of enterprises.Any significant decision in manufacturing chain will affect each enterprise in manufacturing chain,thus every significant decision should meet the desire and requests of each enterprise that be affected.Any significant decision should concentrate in the opinion of each member in the rep- resentative assembly or committee and obtain the authorization of the congress.Any vital question also should be discussed,made the decision and coordinated the moves by the representative assembly or the committee.With society's development and the technical progress,the knowledge and the information content is growing suddenly,the questions needs making the decision are more and complex,the single enterprise only depended on its own resources and the strength is unable to grasp all essential information,and hard to face all questions.The representative assembly formed by representatives from each enterprise in manufacturing chain can gather together experts of different knowledge structure and different experience,which make up the deficiency of single enterprise in resources,strength and experience with the aid of many enterprises'resources and the strength.This is not just increase several brains,but to establish an information complex to ensure the scientific of decision,which formed by different knowledge structure, applies scientific theory method and means,can mutually enlighten and has abundant knowledge.So it comes down to the group decision.Group decision questions have two types,one is the collectivity decision which pursue the holistic benefit of the group,the other is that the members in the group pursue its'own benefit and value against others,that means the game theory of interest con- flict existed among the members.Currently,most scholars research the questions in manufacturing chain from the point of game theory,the research on collectivity decision,which pursues the holistic benefit of manufacturing chain,is limited.The group deci- sion support systems used in the later stage of 1990s includes electronic conference system and working flow system.     

A Scheme for Reconstructing Free-form Surface from Shading with Cellular Automata

The reconstruction of free-form surface is a fundamental problem in digital manufacture.This article presents a novel solution to reconstructing free-form surface from an intensity image under the Lambertian reflection model,that is a method called shape from shading (SFS).Our approach is based on the two-dimensional cellular automata (CA),and fully uses the local information of both image and the reconstructed surface.After several iterations,the free-form surface corresponding to the input image is obtained.The encouraging results on both synthetic and real-world images are provided in this paper,and the perfor- mance of our algorithm is analyzed on synthetic images using mean and standard deviation of depth (Z) errors.     

偏摆锥差直齿锥齿轮副的轮齿加工新方法

从啮合原理出发，阐述了少齿差内锥齿轮副大轮采用成形刨削、小轮采用鼓形修正的刨齿方法．根据二阶齿面展成理论，引入轮位修正、床位和创刀横向调整，将小轮齿面修形，与大轮齿面实现失配啮合，有利于提高少齿差内锥齿轮副的齿面接触质量．     

地下商城停车场无人值守智能机器人的测控实验研究

地下商城停车场无人值守智能机器人测控系统是一个集路径识别、信息决策和多级辅助驾驶、烟气识别、火灾识别、报警喷水、通信等功能于一体的综合信息化系统;文章采用模糊算法和增量PID控制策略相结合的方法,定位出小车与黑线间的位置修正量,调整舵机的相应运动,形成一个速度闭环控制,从而实现了智能车对道路的自主识别和寻迹。该软件系统运用于实际现场当中,其技术指标达到了设计要求,有一定的推广意义和实际使用价值。     

合成润滑油在齿轮传动领域的应用展望

填加齿轮润滑油是齿轮正常传动的必要条件，讨论了润滑技术对齿轮传动性能的影响，分析了合成齿轮油在齿轮传动润滑中的应用前景.简单论述了各类合成润滑油的特性.目前合成齿轮润滑油作为高性能齿轮润滑油已经引起科学工作者的广泛兴趣.最后介绍了使用合成润滑油对环境保护的重要贡献以及所产生的经济效益.     

Characteristic of involute slope modification of asymmetric spur gear

The meshing characteristic of asymmetric involute spur gear was studied, the equations of the geometric shape of the asymmetric gear for both sides were deduced, and the equations of contact ratio and the key points of contact were also obtained.Meanwhile, an involute slope modification method considering the effects of static transmission errors was proposed based on the meshing properties. The characteristic of the involute slope modification was analyzed by changing different modification parameters.The mesh stiffness and synthetic mesh stiffness of unmodified and modified asymmetric spur gears were investigated. Furthermore,the spectrums of synthetic mesh stiffness under different modification parameters were compared. Research results showed that the modification parameters influence the meshing performance of gear pairs, and the proposed modification method was feasible to improve the transmission performance of gear pairs with appropriate modification parameters.     

配油孔定位研究

根据非圆齿轮液压马达的齿轮节曲线设计原理,将齿轮间的啮合传动转化成齿轮节曲线之间的纯滚动,提出了通过计算封闭腔最大、最小面积时行星轮的中心位置,计算配油孔的位置和大小的等距节曲线定位法,并利用MATLAB作出了4-6型的仿真图形,为配油孔设计提供了理论依据.等距节曲线定位法结合非圆齿轮液压马达节曲线设计特点,可以精确地计算出配流孔的位置,可提高配流孔的定位精度和修正配流的位置.     

正角度变位传动行星轮系的优化设计

本文对正角度变位传动行星轮系,取中心轮、行星轮和内齿圈的变位系数、中心轮齿数、轮系齿宽和模数等六个参数为一组设计变量,以轮系体积最小为目标.用内点惩罚函数法解数学模型,进行了优化设计。并且在一次优化后,对齿数、模数园正和标准化,再进行第二次优化,最终得出最优化的结果。该优化方法的处理,对解决正角变位传动行星轮系的优化问题,有一定价值。     

斜齿锥齿轮的精确建模与加工仿真

为了对斜齿锥齿轮进行精确建模与加工仿真,在对球面渐开线和斜齿锥齿轮齿面生成原理进行研究的基础上,推导了斜齿锥齿轮基圆锥面上的螺旋线方程和球面渐开线对称面的位置,提出了一种基于三维造型软件UG和CATIA的斜齿锥齿轮精确建模方法.利用UG和CATIA的相关功能建立了一个左旋斜齿锥齿轮的三维模型并对其进行了加工仿真.仿真结果表明,设计的建模方法理论正确、简便可行,为斜齿锥齿轮的有限元分析、加工仿真和自动编程等提供了依据.     

基于熵权的公路建设项目排序多目标决策分析

采用熵权与决策者的主观权重相结合的方法确定综合权重,运用多目标决策理论,建立了基于熵权的一种多目标决策方法对公路建设项目进行排序.该方法系统地考虑了决策方案目标集的客观因素和决策者的主观因素,使权重确定更加合理.然后再结合“理想点法”进行评价和排序.最后通过应用举例,说明应用该方法对公路建设项目进行排序更加科学可靠.     

变厚齿轮轮齿啮合综合刚度确定方法研究

通过将变厚齿轮轮齿简化为沿径向和轴向都为变截面的悬臂梁 ,推导出了轮齿啮合点变形的计算公式 ,首次解决了变厚齿轮轮齿啮合综合刚度的计算问题 ,并编制程序计算出了一对内啮合变厚齿轮轮齿的啮合综合刚度     

齿轮故障的模糊聚类及其微机辅助诊断

本文对齿轮装置故障的计算机诊断方法进行了研究,文章以Fuzzy(模糊)理论为基础,借助于高分辩率的最大熵谱(MEM),准确地实现了故障位置、种类及程度的微机自行诊断。