A Structured Methodology for Local Network Design Engineering

This paper presents a structured methodology for local network design engineering (SMLNDE). A complex and fuzzy project for local network design can be decomposed into a set of simple and particular activities using the SMLNDE. The SMLNDE allows rigorous requirements definition and permits the exhaustive consideration of the large number of factors influencing local network design engineering. The complete and clear design documentations and an optimal design can also be provided by the methodology. The SMLNDE has been implemented using the structured analysis and design technique. The study shows that the SMLNDE is an effective design methodology for the large and complex local networks.     

探空火箭图像系统设计方案

作为一种理想的实验平台,探空火箭在微重力科学领域得到了广泛应用.利用探空火箭进行微重力实验,首要问题是如何将实验过程以图像形式记录下来,并实时传回地面台站.因此,箭上图像的实时采集、编码与传输对实验具有重要作用.根据探空火箭微重力实验图像的特点,提出了一种适合于探空火箭图像系统的设计方案.按照该方案,图像系统可根据微重力实验的科学需求.实时调节实验图像的分辨率、帧速率和压缩比.该系统中,箭上的小波压缩单是核心模块,它通过基于硬件级的小波自适应压缩算法实现图像的箭上实时压缩,解码和实时显示则由与之对应的地面小波解码单元完成.     

重金属镉对花背蟾蜍蝌蚪生长发育的影响

研究了镉质量浓度在0.0015,0.0300和0.1500mg/L时对花背蟾蜍(Bufo raddei)蝌蚪生长发育的影响。结果表明:不同质量浓度镉能缩短花背蟾蜍蝌蚪50％出膜时间,但对蝌蚪最终孵化率没有影响;镉能影响蝌蚪的生存率,对蝌蚪的生长发育具有明显的抑制作用(P<0.01),但组间差异均不显著(P>0.05);同时各质量浓度水平均导致蝌蚪头部泡状膨大、‘S’型尾和体形奇小(为正常体长的0.50～0.67)等,致畸率0.1500 mg/L质量浓度水平最高(2.25％),0.0300 mg/L水平次之(2.00％),0.0015 mg/L水平最低(0.50％)。     

成本与变化性关系的灰色模型

在变化减少方案理论的基础上,对变化性二因素和制造系统成本的关系进行了研究,运用灰色系统理论,建立了成本与变化性关系的灰色模型;并应用某纺织机械厂浆纱机产品的成本与变化性关系对部分模型进行了验证．     

复合材料层压板疲劳寿命预测方法

测定了碳纤维／树脂基T300／QY8911复合材料的3组典型单轴循环应力下的S-N曲线．基于试验数据，建立了多轴循环应力作用下单向板的寿命模型，并通过整合平面应力分析、失效分析和材料性质退化模块模拟多向层压板的疲劳失效过程．这种方法试图基于单向板在确定应力比下的疲劳试验结果，预测同种材料体系的任意铺层形式的多向层压板在复杂循环应力作用下的疲劳寿命．对于以分层破坏为主控因素的层压板，基于层间应力的计算结果，用计算面内累计损伤的方法计算分层损伤，层压板的寿命等于分层扩展寿命和分层后子层板剩余寿命之和．考虑分层扩展后，层压板的寿命预测结果得到明显改善．     

Learning-based force servoing control of a robot with vision in an unknown environment

A learning-based control approach is presented for force servoing of a robot with vision in an unknown environment. Firstly, mapping relationships between image features of the servoing object and the joint angles of the robot are derived and learned by a neural network. Secondly, a learning controller based on the neural network is designed for the robot to trace the object. Thirdly, a discrete time impedance control law is obtained for the force servoing of the robot, the on-line learning algorithms for three neural networks are developed to adjust the impedance parameters of the robot in the unknown environment. Lastly, wiping experiments are carried out by using a 6 DOF industrial robot with a CCD camera and a force/torque sensor in its end effector, and the experimental results confirm the effecti veness of the approach.     

Robust stability test for 2-D continuous-discrete systems with interval parameters

It is revealed that the dynamic stability of 2-D recursive continuous-discrete systems with interval parameters involves the problem of robust Hurwitz-Schur stability of bivariate polynomials family. It is proved that the Hurwitz-Schur stability of the denominator polynomials of the systems is necessary and sufficient for the asymptotic stability of the 2-D hybrid systems. The 2-D hybrid transformation, i. e. 2-D Laplace-Z transformation, has been proposed to solve the stability analysis of the 2-D continuous-discrete systems, to get the 2-D hybrid transfer functions of the systems. The edge test for the Hurwitz-Schur stability of interval bivariate polynomials is introduced. The Hurwitz-Schur stability of the interval family of 2-D polynomials can be guaranteed by the stability of its finite edge polynomials of the family. An algorithm about the stability test of edge polynomials is given.     

Atomic and efficient e-cash transaction protocol

Atomicity is necessary for reliable and secure electronic commerce transaction and to guarantee the participants' interests. An atomic and efficient e-cash (electronic cash) transaction protocol based on the classical e-cash scheme is presented. The delivery of digital goods is incorporated into the process of payment in the protocol. Apart from ensuring all three levels of atomicity, the novel protocol features high efficiency and practicability with unfavorable strong assumption removed. Furthermore, the proposed protocol provides non-repudiation proofs for any future disputes. At last, analysis of the atomicity and efficiency is illustrated.     

Cooperative Mechanism of Supply Chain Under Asymmetric Information

Abstract: The cooperative mechanism is one main issue in the decentralized supply chain system, especially in an asym-metric information structure. We analyze the non-cooperative game behavior of a 2-echelon distribution supply chain,compare the results with the system optimal solution, and give the supplier dominated cooperative mechanisms. We alsoanalyze the validity of our contract under the asymmetric retailers' holding cost information and give some useful conclu-sions.     

A Target Recognition Approach to Projecting HRR Profiles onto Subspace

Abstract: A array of the azimuthally averaged range-profile vectors and the inter-class and intra-class divergence matrixesare constructed iwth many frames of the high resolution range profiles which result from radar echoes of airplanes. Takingthe methods of whitening transformation and SVD produces a system of subspace vectors for target recognition. Where-upon, a template library for target recognition is built by the projection of a class-mean vector made from the radar dataonto the subspace for recognition. By Euclidean distance, a comparison is made between the above projection and eachtemplate in the library, to decide which class the target belongs to. Finally, simulations with the experimental radar dataarte given to show that the proposed method is robust to variation in azimuth and immune to additive Gaussian noisewhen SNR≥5dB.