热流法计算高温炉内辐射传热

高温炉内的辐射传热是工业生产中常遇到的问题。过去，人们在应用热流法计算辐射传热时遇到了一定的困难，使计算结果与实际有一定的偏差。本文运用文献［１］中给出的新热流数学模型，开发出由新热流方程与能量方程相耦合的计算机程序，其中的比热流参数由线加热热源情况下计算得到。用该程序计算了实验室用马弗炉内的温度场，并且用热电偶实测了炉内的一些温度值，理论计算与实测值符合很好。     

Cost Effective VLSI Architectures for Full-Search Block-Matching Motion Estimation Algorithm

In this paper, we present efficient VLSI architectures for full-search block-matching motion estimation (BMME) algorithm. Given a search range, we partition it into sub-search arrays called tiles. By fully exploiting data dependency within a tile, efficient VLSI architectures can be obtained. Using the proposed VLSI architectures, all the block-matchings in a tile can be processed in parallel. All the tiles within a search range can be processed serially or concurrently depending on various requirements. With the consideration of processing speed, hardware cost, and I/O bandwidth, the optimal tile size for a specific video application is analyzed. By partitioning a search range into tiles with appropriate size, flexible VLSI designs with different throughput can be obtained. In this way, cost effective VLSI designs for a wide range of video applications, from H.261 to HDTV, can be achieved.     

光孤子相互作用对压缩态的影响

在线性近似条件下，量子化了非线性薛定谔方程，用后向传播法数值求解了光孤子相互作用对压缩比的影响。数值结果表明，在碰撞距离附近，压缩比显著增加。     

弹托前端结构对脱壳性能的影响

该文用四种弹托前端结构的25 mm APFSDS弹,在中间弹道靶道中进行了射击试验,利用正交多站火花阴影照相系统,得到了不同弹托脱壳过程的时序阴影照片.对照片的定量分析表明,弹托前端结构对弹托脱壳性能及弹体扰动有重要影响.     

热处理WO3电变色膜稳定性研究

采用电子束蒸发淀积ＷＯ３薄膜。根据已有的ＷＯ３薄膜脱水过程结论而选择适当温度对薄膜进行退火处理。在大量含水的和不含水的两类Ｌｉ＾＋电解质中进行比较性着色和消色循环实验，表明在２９０℃以下热退火处理能明显增加ＷＯ３薄膜在含水 电解质中的循环寿命。     

反常声电光频谱分析器

介绍了一种新型的反常声电光频谱分析器，它可以采用外加电压的办法改变器件的中心频率，扩大器件的频带宽度，并改善器件在频带宽度范围内的频率响应特性。用ＬｉＮｂＯ３制作了一个６０ＭＨｚ的反常声电光频谱分析器件，测试结果表明，器件中心频率可以由５０ＭＨｚ变到７０ＭＨｚ，频带宽度由原来的２６ＭＨｚ扩大到３７ＭＨｚ。     

高温超导研究的新进展

本文简要回顾了一年来高温超导的新进展，特别介绍和讨论了新型高温超导体系和线材、带材、块材及薄膜应用的发展情况。     

PPS：基于PROSITE数据库检索蛋白质功能位点的计算机程序

用标准Ｃ语言在ＩＢＭ－ＰＣ兼容微机上开发了基于ＰＲＯＳＩＴＥ数据库检索蛋白质序列功能位点的ＰＰＳ程序，ＰＲＯＳＩＴＥ是Ｂａｉｒｏｃｈ建立的蛋白质功能位点或结构模式的资料库，为蛋白质序列分析和结构功能研究提供了新工具。     

A Fuzzy Expert System for Damage Assessment Using Genetic Algorithms and Neural Networks

Abstract: An efficient knowledge-acquisition support method is required for improvement and maintenance of the knowledge base in durability evaluation of an RC bridge deck. Such a method is proposed in this paper to automatically acquire fuzzy production rules. This method makes joint use of genetic algorithms and a neural network. Using a neural network as a subsystem, the evaluation function of genetic algorithms can be provided with the weights of the neural network. Introducing a neural network into genetic algorithms, it is possible to acquire new knowledge so that the method is useful when it is difficult to acquire knowledge in the field.