CO2激光治疗皮肤基底细胞癌14例临床观察

目的 :探求一种简单 ,安全 ,效果好的基底细胞癌的治疗方法。方法 :对 1 4例基底细胞癌患者在局麻下用CO2 激光行基底细胞癌切除术或切除 +气化术。结果 :患者术中、术后出血少 ,伤口恢复快 ,愈合良好 ,疤痕表浅 ,随访未见复发。结论 :CO2 激光用于治疗基底细胞癌效果良好 ,无明显副作用 ,操作简单值得推广。     

质量控制图系统的实现及在SMT中的应用

本文将控制图理论与计算机技术相结合,开发了质量控制图系统.介绍了该系统的设计方案和关键技术问题,并以电子产品制造中监控SMT机的焊膏厚度为例说明了系统的应用.     

积层板的制造方法

概述了积层板的开发背景、制造工艺和最近的开发动向。     

火炮身管内表面激光硬化处理的实验研究

提高身管寿命是火炮行业亟待解决的关键技术问题，激光表面改性技术是解决这一问题的有效方法之一。本文在分析激光表面相变硬化性能的基础上，对身管内表面进行了激光硬化处理实验研究，检测了其内表面阳线和阴线的硬化层硬度和深度，对比分析了离焦量和焦深对其内表面硬化层硬度的影响，并对激光相变硬化层金相组织进行了分析。经激光硬化处理后，身管的内表面硬度有明显提高，硬化层较深，且为很细的条状马氏体组织。     

V波段小型化低相噪频率综合器

本文研究了一种V波段超小型低相噪频率综合器,研制了L段捷变频频综、Ku波段取样锁相源、上变频组件、倍频器等四个小型化组件.为了得到较低的相位噪声和捷变频速度,本捷变频频综采用上变频-倍频方案,其中DRO PLS保证低相位噪声性能,L波段捷变频频综保证捷变频功能.该频综尺寸为100×80×30mm³,相位噪声低于-86dBc/Hz(1kHz),捷变频时间小于40μs,杂波抑制优于-60dBc.     

小剂量辐射对肿瘤细胞K_（562）及肿瘤病人天然杀伤细胞（NK）活性的影响

已知小剂量辐射可增强机体免疫功能。从对高本底地区的调查发现，该地区居民肿瘤死亡率及某些肿瘤发病率有所降低（１）。ＮＫ细胞能直接杀伤肿瘤细胞，在肿瘤免疫中起着重要的作用。本文观察小剂量辐射对肿瘤病人和正常人外周血淋巴细胞ＮＫ活性的相对效应以及对人红白血病细胞（Ｋ（５６２）细胞）的影响，以期从体外买验来探索较小剂量辐射对肿瘤治疗的影响     

乘累加运算器的高性能解决方案

在设计数字信号处理器时我们经常要设计高性能的乘累加运算器，文章详细分析了乘累加运算器的结构，提出了其高性能设计方案并采用标准单元进行了实现，同时提出了DCT运算单元的高性能解决方案。     

激光冶炼太阳级硅材料的实验研究

通过实验研究表明，大功率ＣＯ２激光器在廉价硅材料制备中应用的可能性。     

Mixed Mode VLSI Implementation of a Neural Associative Memory

A mixed mode digital/analog special purpose VLSI hardware implementation of an associative memory with neural architecture is presented. The memory concept is based on a matrix architecture with binary storage elements holding the connection weights. To enhance the processing speed analog circuit techniques are applied to implement the algorithm for the association. To keep the memory density as high as possible two design strategies are considered. First, the number of transistors per storage element is kept to a minimum. In this paper a circuit technique that uses a single 6-transistor cell for weight storage and analog signal processing is proposed. Second, the device precision has been chosen to a moderate level to save area as much as possible. Since device mismatch limits the performance of analog circuits, the impact of device precision on the circuit performance is explicitly discussed. It is shown that the device precision limits the number of rows activated in parallel. Since the input vector as well as the output vector are considered to be sparsely coded it is concluded, that even for large matrices the proposed circuit technique is appropriate and ultra large scale integration with a large number of connection weights is feasible.     

Design and Implementation of a Flexible Manufacturing Control System Using Neural Network

Design and implementation of a sequential controller based on the concept of artificial neural networks for a flexible manufacturing system are presented. The recurrent neural network (RNN) type is used for such a purpose. Contrary to the programmable controller, an RNN-based sequential controller is based on a definite mathematical model rather than depending on experience and trial and error techniques. The proposed controller is also more flexible because it is not limited by the restrictions of the finite state automata theory. Adequate guidelines of how to construct an RNN-based sequential controller are presented. These guidelines are applied to different case studies. The proposed controller is tested by simulations and real-time experiments. These tests prove the successfulness of the proposed controller performances. Theoretical as well as experimental results are presented and discussed indicating that the proposed design procedure using Elman's RNN can be effective in designing a sequential controller for event-based type manufacturing systems. In addition, the simulation results assure the effectiveness of the proposed controller to outperform the effect of noisy inputs.