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Comparison of methods to develop an emotional lexicon of wine: Conventional vs rapid-method approach
The development of emotional lexicons can be seen as a time- and resource-consuming activity. Several rapid methods have been developed for time-restricted studies, but the suitability of these methodologies in the development of emotional lexicons compared to conventional ones has not been investigated.The aim of this study was to test the suitability of a rapid method, as it is the Sorting Task, for emotional lexicon development compared to a conventional procedure. For this purpose, two different approaches (conventional vs rapid-method) were tested to evaluate wines.222 consumers participated in the lexicon development procedure. A common phase of generation and filtering of the terms was carried out for the development of both lexicons. Then, two approaches were used, one applying the procedures proposed in the literature (conventional, herein as Lexicon I) and the other applying Sorting Task (rapid-method, herein as Lexicon II). To test both lexicons, consumer studies (n = 185) were conducted using a set of seven commercial wines.Both methods were helpful in discriminating emotional responses. Lexicon I reported a wine effect for 10 of the 13 emotional categories, while the Lexicon II discriminated the samples in all 15 categories. Although multifactorial analysis showed a high agreement between configurations (RV = 0.985), the emotional map of both lexicons did not follow the theoretical circumplex model of emotions. SADNESS and NOSTALGIA feelings were related to the second axis.In conclusion, both methods provided similar maps of wines, but Lexicon II was more efficient in terms of time and resources during the lexicon development. 相似文献
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带有精英策略的非支配排序遗传算法(NSGA-II)是在NSGA的基础之上,提出拥挤度和拥挤度比较算子,代替了需要指定共享半径的适应度共享策略,是解决多目标优化问题的经典算法之一。但是NSGA-II算法在保持种群多样性时采取的拥挤距离排挤机制有着pareto前沿分布不均匀的缺陷,因此,提出一种基于个体邻域的改进NSGA-II算法SN-NSGA2。SN-NSGA2将密度聚类算法DBSCAN中邻域的思想应用到排挤机制中去,提出一种个体邻域的构建方法,采用相应的淘汰策略去除个体邻域中的其他邻居个体。实验结果表明相对于NSGA-II算法来说,新算法求出的pareto解集有着更好的分布性以及良好的收敛性。 相似文献
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In mobile ad hoc peer to peer (M-P2P) networks, since nodes are highly resource constrained, it is effective to retrieve data items using a top-k query, in which data items are ordered by the score of a particular attribute and the query-issuing node acquires data items with the k highest scores. However, when network partitioning occurs, the query-issuing node cannot connect to some nodes having data items included in the top-k query result, and thus, the accuracy of the query result decreases. To solve this problem, data replication is a promising approach. However, if each node sends back its own data items (replicas) responding to a query without considering replicas held by others, same data items are sent back to the query-issuing node more than once through long paths, which results in increase of traffic. In this paper, we propose a top-k query processing method considering data replication in M-P2P networks. This method suppresses duplicate transmissions of same data items through long paths. Moreover, an intermediate node stops transmitting a query message on-demand. 相似文献
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太阳能电池测试分选设备是晶体硅太阳能电池生产专用设备,可用于太阳能电池转换效率以及电性能参数测量。所有的测量结果可以自动分类,自动保存。该设备在测试系统设计、分选结构设计、步进电机精密驱动、高速数据交换和电气控制等技术方面达到较高水平。该设备具有全自动化,操作简便,测试精确,运行稳定,碎片率低、生产效率高等特点,性能完... 相似文献
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重频分选方法中,由于序列差值直方图法(SDIF)对PRI抖动的雷达脉冲信号的分选能力差,而PRI变换法可以分选PRI抖动的雷达脉冲信号,但是运算量太大,难以实现实时分选。对SDIF算法进行了改进,采用交叠PRI箱的方法进行直方图的统计,使得改进后的SDIF在运算量增加不多的情况下,可以实时较好地分选PRI抖动量在10%以内的雷达脉冲信号。 相似文献
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设计一种由PLC控制的自动物料分拣装置,由旋转编码器检测定位,通过漫射式光电传感器、光纤传感器和金属传感器检测判定物料类型,利用气杆将物料推入相应物料槽中,传送带由减速电机和西门子变频器驱动,输送物料进行分拣。设计完成的物料分拣装置,分成三个槽位,完成了对黑色、白色、金属三种物料特性的检测区分和分拣工作。 相似文献
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The genomic distance problem in the Hannenhalli–Pevzner (HP) theory is the following: Given two genomes whose chromosomes are linear, calculate the minimum number of translocations, fusions, fissions and inversions that transform one genome into the other. This paper presents a new distance formula based on a simple tree structure that captures all the delicate features of this problem in a unifying way, and a linear time algorithm for computing this distance. 相似文献