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1.
本文除概略介绍气体检测器的种类处,主要对气体检测器的原理和在实际使用中的局限性作一基本归纳叙述。限于篇幅,本文将论述的重点放在气体检测器的选用与设置规划上,提出个人的一点心得与看法,以作为未来设置气体检测器系统时之参考。 相似文献
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阐述了视觉符号语言在版面设计中的编码与各种表现形式,强调信息社会的来临,以视觉为形态的符号语言将有效加速信息的传递。 相似文献
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李涛 《信息技术与信息化》2007,10(3):76-78
版面分析过程可以理解为同模式类对象间聚类(合并)的过程,而这种聚类存在的风险(hazard)是伴随整个聚类过程中的。而且越是在后期,该风险值越高,即一旦出现聚类错误则将导致前期正确的聚类结果付诸东流。该文将就此问题展开关于版面分析中的聚类稳定性问题的探讨,并提出相应的逻辑规则——逻辑判别函数(logic differentiation function)用来指导聚类和其在聚类算法中的应用;实验结果表明,建立在定性分析基础上的该规则能解决聚类过程的稳定性问题,同时该规则可以应用在存在若干模式类对象聚类的场合中。 相似文献
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介绍了VLSI版图验证中电阻提取的基本原理和主要方法,给出了一种新颖的基于边界元法的电阻提取算法。该算法采用变节点单元,较好地解决了实际问题中经常出现的角点问题。通过应用该算法对几个实例进行提取,证明使用本文的算法不仅在精度上而且在占用CPU时间上都取得了令人满意的效果 相似文献
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Injection molding is an ideal manufacturing process for producing high volumes of products from both thermoplastic and thermo setting materials. Nevertheless, in some cases, this type of manufacturing process decelerates the production rate as a bottleneck. Thus, layout optimization plays a crucial role in this type of problem in terms of increasing the efficiency of the production line. In this regard, a novel computer simulation–stochastic data envelopment analysis (CS-SDEA) algorithm is proposed in this paper to deal with a single row job-shop layout problem in an injection molding process. First, the system is modeled with discrete-event-simulation as a powerful tool for analyzing complex stochastic systems. Then, due to lack of information about some operational parameters, theory of uncertainty is imported to the simulation model. Finally, an output-oriented stochastic DEA model is used for ranking the outputs of simulation model. The proposed CS-SDEA algorithm is capable of modeling and optimizing non-linear, stochastic, and uncertain injection process problems. The solution quality is illustrated by an actual case study in a refrigerator manufacturing company. 相似文献
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介绍了攀钢集团成都钢铁有限责任公司Φ159mmFQM三辊连轧管机组的工艺、主要设备组成、特点和基本参数。三辊孔型封闭性好,金属变形更均匀;荒管的壁厚及外径精度显著提高,轧制出的钢管表面更光洁;三辊孔型接触面积小,轧制压力降低,孔型过或欠充满现象大大减少,使轧制薄壁管和难变形钢种的能力提高。封闭良好的孔型可避免或减少管端折叠和飞刺的形成,减少张力减径前的切尾长度甚至可省去张力减径前的切尾工序,提高金属收得率和轧制的稳定性。 相似文献
10.
An Experimental Study on Three General Interface Layout Designs for Chemical Process Plants 下载免费PDF全文
The human‐machine interface design is not a new problem; however, existing knowledge appears to be focused either on interface conceptual design, which determines what information at what time needs to be displayed, or on interface detailed design, which determines the form of display elements. This article presents a study on interface layout design. Three interface layout designs were proposed based on the proximity compatibility priniciple, which were on the same interface conceptual design. In particular, the first interface layout design is with the highest degree of proximity cognition and the second and third with a reduced degree of proximity cognition. They are called sophisticated, semisophisticated, and nonsophisticated interfaces, respectively. An experiment with a simple process plant was conducted to understand user behaviors on the three interfaces. It is noted that in order to provide an unbiased comparative evaluation of these interfaces the same application problem and similar look‐and‐feel forms of interfaces were designed. In the experiment, three general classes of tasks were considered, namely, normal control operation, fault detection (or monitoring), and fault diagnosis. Two categories of measures were used: the performance measure and the subjective measure. The major results obtained from the experiment are 1) the nonsophisticated interface is the best for fault detections in terms of performance measure; besides, this interface has the lowest mental workload for fault detection; 2) the sophisticated interface is the best for normal operation in terms of performance measure; 3) there appears no significant difference for fault diagnosis in terms of performance measures for all these three interfaces; 4) for normal operation and fault diagnosis, the mental workloads for the three interfaces have no significant difference. Overall, the experiment suggests that the nonsophisticated interface be used in practice with additional two reasons: 1) most of time in the chemical process plant today is the fault detection or operation monitoring task, and 2) it is relatively easier for the nonsophisticated interface to adapt to changes in the chemical process plant design, which are common in today's manufacturing environments. 相似文献