智能型超声波钢轨探伤仪

文中介绍采用三片单片机设计的新型智能STG-2000型超声波钢轨探伤仪。它具有全数字式控制、便携性好、低功耗、高速动态检测、实时报警、整体操作简便等特点。由于内核采用三片兼容MCS-5l单片机构造的多机并行系统，这个产品使超声波钢轨探伤工作提高到了一个新的水平。     

络合剂对胶束三元络合物显色体系的影响1──锆(Ⅳ)-m-NPF-CTMAB 显色体系及其应用

在０．２４～０．４２ｍｏｌ／ＬＨＣｌ介质中，研究了１７种络合剂对锆（Ⅳ）－ｍ－ＮＰＦ－ＣＴＭＡＢ显色反应的影响。除乳酸、甘露醇、α－羟基异丁酸、氧代戊二酸和柠檬酸外，其余络合剂都使体系的吸光度降低。有乳酸和甘露醇存在下，有色络合物的表观摩尔吸光系数为１．３０×１０５Ｌ·ｍｏｌ－１·ｃｍ－１。Ｚｒ（Ⅳ）在０～１０μｇ／２５ｍＬ符合比尔定律。方法用于铝合金中微量锆的测定，结果满意。     

血红素中卟啉Fe（Ⅱ）的简正模式分析

将血红素中卟啉Ｆｅ（Ⅱ）环作成一个Ｃ４ν群，并导出了其简正坐标与简正振动模式．     

管理科学的人本分析——软管理科学的探析

本文分析了管理科学的人本化倾向，结合现代人文学科的发展探讨了管理科学在科学管理理论的基础上不断向以人为目的的管理方向发展的趋势，论述了现代管理思想在企业行为中的重要意义。     

自行车群体流的在线实时测量

本文提出了一种利用环形线圈采用动态频差法配合模式识别技术实现对自行车群体流自动检测的方法。讨论了该方法的基本原理、识别模型及据此方法研制成的在线实时智能式自行车群体流量测量仪的试验结果，其测量准确度达８５％以上，数据以５秒时间间隔存入内存或上位机。此样机在现场连续运行３年多，已获满意结果。     

研究生学位论文选题方法与论文质量的研究

为提高研究生学位论文质量，提出了论文选题、论文研究及论文答辩各环节中的改革措施．     

Computer user verification using login string keystroke dynamics

The keystroke dynamics of a computer user's login string provide a characteristic pattern that can be used for identity verification. Timing vectors for several hundred login attempts were collected for ten “valid” users and ten “forgers”, and classification analysis was applied to discriminate between them. Three different classifiers were applied, and in each case the key hold times were more effective features for discrimination than the interkey times. Best performance was achieved by an inductive learning classifier using both interkey and hold times. A high rate of typographical errors during login entry is reported. In practice, these are usually corrected errors-that is, they are strings which include backspaces to correct earlier errors-but their presence confounds the use of typing-style analysis as a practical means of securing access to computer systems     

嵌入式MCU的SOC设计中的低功耗设计

以Motorola龙珠系列中MXL芯片为例介绍了嵌入式MCU SOC设计中的低功耗设计技术。从加工工艺、硬件设计和软件设计方面来 阐述其中的低功耗设计技术。     

静脉输液结束呼叫监控系统设计

介绍了输液结束后的自动呼叫监控系统的硬件、软件。该系统的应用将大大提高了医院的护理水平。     

An effective hybrid genetic algorithm for flow shop scheduling with limited buffers

As a typical manufacturing and scheduling problem with strong industrial background, flow shop scheduling with limited buffers has gained wide attention both in academic and engineering fields. With the objective to minimize the total completion time (or makespan), such an issue is very hard to solve effectively due to the NP-hardness and the constraint on the intermediate buffer. In this paper, an effective hybrid genetic algorithm (HGA) is proposed for permutation flow shop scheduling with limited buffers. In the HGA, not only multiple genetic operators based on evolutionary mechanism are used simultaneously in hybrid sense, but also a neighborhood structure based on graph model is employed to enhance the local search, so that the exploration and exploitation abilities can be well balanced. Moreover, a decision probability is used to control the utilization of genetic mutation operation and local search based on problem-specific information so as to prevent the premature convergence and concentrate computing effort on promising neighbor solutions. Simulation results and comparisons based on benchmarks demonstrate the effectiveness of the HGA. Meanwhile, the effects of buffer size and decision probability on optimization performances are discussed.