时效和重新训练对Cu－Zn－Al合金组织与记忆性能的影响

用约束训练法对时效后的Ｃｕ－Ｚｎ－Ａｌ形状记忆合金进行了重新训练。结果表明，在未发生贝氏体转变的条件下，时效所导致的记忆衰减可以通过重新训练予以改善。透射电镜分析指出，重新训练后，发生了马氏体的再取向，因时效而导致的细条状、台阶状变体大部分消除，且变体间的结合方式变为自协作性良好的孪晶关系，从而改善了合金的记忆性能。     

热环境的人-机-环境系统工程评价

从人-机-环境系统工程的角度分析了热环境对人的影响。分析了不同热环境的评价方法，讨论了各种评价指数的适用范围，讨论了炎热环境和寒冷环境下的预防保护措施，为室内空调系统的设计评价、保护服装的选用，工作时间的安排提供了有用的工具。     

电容检测纱线传感器转换特性对纱线不匀率测试的影响

讨论了纱线测试中受电容检测纱线传感器转换特性的非线性影响，测得的条干不匀率值与纱线的实际条干不匀率值之间的差异，从理论上估计了纱线在不同的电容检测槽内测试时，由于其截面充满系数不同而引起的相对差异，并用试验数据加以验证。     

梳针刺辊与锯齿刺辊分梳差异的研究

为研究刺辊类型、速度对纤维损伤和去除结杂的影响,用Uster AFIS单纤维测试系统,分别对三种梳针刺辊和一种锯齿刺辊在二档道夫速度和四档刺辊速度条件下所加工的生条进行了检测.结果显示:梳针刺辊在减少纤维损伤方面明显优于锯齿刺辊;梳棉机产量低时,梳针剌辊去除棉结的效果好一些,梳棉机产量高时,锯齿刺辊去除棉结的效果要好于梳针剌辊;梳棉机产量低时,大都以锯齿和梳针Ⅲ刺辊去除杂质效果好些,梳棉机产量高时,锯齿和梳针Ⅱ刺辊去除杂质效果好些.     

铁电存储器FM3808在TMS320VC5402系统中的应用

FM3808是Ramtron公司生产的新型超低功耗非易失铁电存储器，该器件可支持对存储区的高速读写，并可进行近乎无限次的写入。FM3808内部除具有256kB的存储阵列外还集成了实时时钟和系统监控模块，因而功能十分强大。文中介绍了FM3808的性能特点、内部结构和工作原理，分析了TMS320VC5402 DSP的并行引导装载模式。给出了DSP与FM3808组成的并行引导接口方案。     

读张抗抗《集体记忆》有感

忘记历史就意味着背叛,张抗抗在《集体记忆》中描写史志工作者在搜集史料时遇到了这种背叛现象,知情人有意无意地患上了“集体忘却”症。通过梳理此症的主要表现,即强占记忆与摧毁记忆,指出其社会文化政治因素在于建国以来的主流思想。     

MEMORY·童年·印象--合肥市政务文化新区儿童公园概念性方案

合肥市政务文化新区儿童乐园的概念性方案,充分考虑了儿童的心理和成长交流需要,以儿童的自发活动为特色,兼顾各类活动设施,创造丰富活动空间,构筑了一个富有感染力、空间变幻多彩的都市儿童乐园.     

Application of the blind source separation method to feature extraction of machine sound signals

As the result of vibration emission in air, a machine sound signal carries important information about the working condition of machinery. But in practice, the sound signal is typically received with a very low signal-to-noise ratio. To obtain features of the original sound signal, uncorrelated sound signals must be removed and the wavelet coefficients related to fault condition must be retrieved. In this paper, the blind source separation technique is used to recover the wavelet coefficients of a monitored source from complex observed signals. Since in the proposed blind source separation (BSS) algorithms it is generally assumed that the number of sources is known, the Gerschgorin disk estimator method is introduced to determine the number of sound sources before applying the BSS method. This method can estimate the number of sound sources under non-Gaussian and non-white noise conditions. Then, the partial singular value analysis method is used to select these significant observations for BSS analysis. This method ensures that signals are separated with the smallest distortion. Afterwards, the time-frequency separation algorithm, converted to a suitable BSS algorithm for the separation of a non-stationary signal, is introduced. The transfer channel between observations and sources and the wavelet coefficients of the source signals can be blindly identified via this algorithm. The reconstructed wavelet coefficients can be used for diagnosis. Finally, the separation results obtained from the observed signals recorded in a semi-anechoic chamber demonstrate the effectiveness of the presented methods .     

A parametric interpolator with confined chord errors, acceleration and deceleration for NC machining

Parametric interpolation has many advantages over linear interpolation in machining curves. Real time parametric interpolation research so far has addressed achieving a uniform feed rate, confined chord errors and jerk limited trajectory planning. However, simultaneous consideration of confined chord errors that respect the acceleration and deceleration capabilities of the machine has not been attempted. In this paper, the offline detection of feed rate sensitive corners is proposed. The velocity profile in these zones is planned so that chord errors are satisfied while simultaneously accommodating the machine's acceleration and deceleration limits. Outside the zone of the feed rate sensitive corners, the feed rate is planned using the Taylor approximation. Simulation results indicate that the offline detection of feed rate sensitive corners improves parametric interpolation. For real time interpolation, the parametric curve information can be augmented with the detected feed rate sensitive corners that are stored in 2×2 matrices.     

Studies of substrate specificities of lipases from different sources

Although lipases are widely applied in a wide variety of reactions, available information on the factors that are responsible for the substrate specificities of lipases from different sources is scarce. In this paper, nine lipase‐producing microorganism strains were isolated from oil‐containing samples. The properties of these enzymes, including pH optima, temperature optima, thermal stability, and pH stability, vary significantly with the different sources from which these lipases were isolated. The substrate specificities of the nine lipases, including fatty acid and positional specificities, were also studied. The fatty acid specificities of the nine lipases were observably different toward 15 substrates with different carbon chain lengths, different saturation degrees and different side chains. The lipases from S₃ Penicillium citrinum (PCL), MJ₁ Aspergillus niger (ANL), MJ₂ Aspergillus oryzae (AOL), YM Bacillus coughing (BCL), S₉ Geotrichum candidum (GCL), and S₁₁ Candida lypolytica (CLL) showed the strongest specificities to short‐chain esters, and the other lipases showed strong selectivity for medium‐ or long‐chain and branched esters. The positional specificities were examined by analyzing the hydrolytic products of triolein catalyzed by the nine lipases, using TLC. The lipases can be mainly classified into two groups by their specificities for the ester bond at position 2 of triglycerides; one group can selectively hydrolyze the ester bond at position 2 of the triglycerides, the other group cannot. All these nine lipases were divided into four groups by hierarchical clustering analysis on the basis of the results of fatty acid and positional specificities.