基于UML的LCA中产品系统的建模研究

从产品系统本身的内在规律和产品全生命周期的观念研究了生命周期评价(LCA)的对象——产品系统及其特性，建立了产品系统概念模型；利用统一建模语言(UML)建立产品系统的结构模型、功能模型和信息模型，并描述产品系统的建模过程。     

存储特定流数据的通用框架

通过仔细研究存储流数据的各种应用的共同特征,提出了一种数据流存储模型.在数据流存储模型基础上,采用先进的基于组件的开发方法,实现了一个存储流数据的通用框架,通用框架采用本体技术来解决语义互操作性.测试结果表明,通用框架可以调用一组用户提供的过滤算法,筛选出指定数据流中符合条件的信息,将它们成批存储到数据库中.用户可以通过定制和配置参数的方法,在各种不同的应用环境中重用该通用框架.     

同向泵浦喇曼光纤放大器的增益特性

为分析同向泵浦喇曼光纤放大器中各参量对增益的影响，根据同向耦合波方程导出了放大器输出端信号光的解析解，并给出了放大器增益的表达式。在参量取典型值的条件下，分析了光纤长度、初始信号光功率、初始泵浦光功率、光纤有效面积、拉曼增益系数等参量对放大器增益的影响，所得部分结果与文献的实验结果一致。根据各个参量对放大器增益的不同影响，可以优化放大器的增益特性，从而提高放大器的增益，进而提高其放大性能。     

多级雾化超重力旋转床能耗的建模及实验

通过理论分析建立了多级雾化超重力旋转床能耗的数学模型，利用传热强化与过程节能教育部重点实验室开发的多级雾化超重力旋转床设备，采用电度表测量功耗的方法验证了该模型，从实验数据中归纳出了总能耗的计算式。实验结果表明：多级雾化超重力旋转床的能耗受气流量的影响很小，而受液流量、旋转床转速、转子转动方式及转子结构的影响较大；减少转子转动摩擦阻力并选用优良的转动方式可以显著降低总能耗。实验结果证明了多级雾化超重力旋转床能以较少能耗来获取过程传递的极大强化。     

试析民族地区大学英语教学中的“小题大做”

英语教学投入大,收益小,教师任重而道远。针对民族地区高校英语教学现状,结合多年教学经验,作者客观务实地提出教师应见微知著,从教学中的细小环节入手,做出提高大学英语教学质量的大文章来。     

灵魂在高处——郁达夫《故都的秋》解析

郁达夫的作品受争议较多,历年来一直有郁达夫作品难免颓丧消沉的评论。本文以《故都的秋》为例,解析了郁达夫精神世界当中的另一层面。看到他苦闷当中坚守的高尚情操,困境中仍不流于世俗的卓立精神以及对纯朴清淡的生活境界的真诚追求。     

镁基非晶合金的研究进展

近年来,Mg基非晶合金以低密度、高非晶形成能力等优点受到人们越来越多的关注。介绍了Mg基非晶合金的发展现状和现有的合金体系,综述了其力学性能的优势,指出了其应用过程中存在的问题。对其作为生物医用材料应用进行了探讨,并对今后发展进行了展望。     

Alkaline digestion behavior and alumina extraction from sodium aluminosilicate generated in pyrometallurgical process

In pyrometallurgical process, Al-and Si-bearing minerals in iron and aluminum ores are easily transformed into sodium aluminosilicates in the presence of Na₂O constituents, which alters the leaching behaviors of Al₂O₃ and SiO₂. It was confirmed that sodium aluminosilicates with different phase compositions synthesized at various roasting conditions were effectively digested in the alkaline digestion process. Under the optimum conditions at temperature of 100-120℃, liquid-to-solid ratio (L/S) of 10:2 mL/g, caustic ratio of 4, and Na₂O concentration of 240 g/L, the actual and relative digestion ratio of Al₂O₃ from the synthesized sodium aluminosilicates reached maximums of about 65% and 95%, respectively, while SiO₂ was barely leached out. To validate the superior digestion property of sodium aluminosilicate generated via an actual process, the Bayer digestion of an Al₂O₃-rich material derived from reductive roasting of bauxite and comprising Na_1.75Al_1.75Si_0.25O₄ was conducted; the relative digestion ratio of Al₂O₃ attained 90% at 200℃.     

A New Algorithm for the Establishing Data Association Between a Camera and a 2-D LIDAR

In this paper,we propose a new algorithm to establish the data association between a camera and a 2-D Light Detection And Ranging sensor （LIDAR）.In contrast to the previous works,where data association is established by calibrating the intrinsic parameters of the camera and the extrinsic parameters of the camera and the LIDAR,we formulate the map between laser points and pixels as a 2-D homography.The line-point correspondence is employed to construct geometric constraint on the homography matrix.This enables checkerboard to be not essential and any object with straight boundary can be an effective target.The calculation of the 2-D homography matrix consists of a linear least-squares solution of a homogeneous system followed by a nonlinear minimization of the geometric error in the image plane.Since the measurement quality impacts on the accuracy of the result,we investigate the equivalent constraint and show that placing the calibration target nearby the 2-D LIDAR will provide sufficient constraints to calculate the 2-D homography matrix.Simulation and experimental results validate that the proposed algorithm is robust and accurate.Compared with the previous works,which require two calibration processes and special calibration targets such as checkerboard,our method is more flexible and easier to perform.     

A partial robust optimization approach to inventory management for the offline-to-online problem under different selling prices

This study examines an optimal inventory strategy when a retailer markets a product at different selling prices through a dual-channel supply chain, comprising an online channel and an offline channel. Using the operating pattern of the offline-to-online (O2O) business model, we develop a partial robust optimization (PRO) model. Then, we provide a closed-form solution when only the mean and standard deviation of the online channel demand distribution is known and the offline channel demand follows a uniform distribution (partial robust). Specifically, owing to the good structural properties of the solution, we obtain a heuristic ordering formula for the general distribution case (i.e., the offline channel demand follows a general distribution). In addition, a series of numerical experiments prove the rationality of our conjecture. Moreover, after comparing our solution with other possible policies, we conclude that the PRO approach improves the performance of incorporating the internet into an existing supply chain and, thus, is able to adjust the level of conservativeness of the solution. Finally, in a degenerated situation, we compare our PRO approach with a combination of information approach. The results show that the PRO approach has more “robust” performance. As a result, a reasonable trade-off between robustness and performance is achieved.