全文获取类型
收费全文 | 37764篇 |
免费 | 6201篇 |
国内免费 | 4831篇 |
专业分类
电工技术 | 1408篇 |
综合类 | 3142篇 |
化学工业 | 1059篇 |
金属工艺 | 892篇 |
机械仪表 | 3044篇 |
建筑科学 | 1163篇 |
矿业工程 | 467篇 |
能源动力 | 226篇 |
轻工业 | 677篇 |
水利工程 | 272篇 |
石油天然气 | 1101篇 |
武器工业 | 312篇 |
无线电 | 6195篇 |
一般工业技术 | 2228篇 |
冶金工业 | 719篇 |
原子能技术 | 174篇 |
自动化技术 | 25717篇 |
出版年
2024年 | 326篇 |
2023年 | 825篇 |
2022年 | 1509篇 |
2021年 | 1559篇 |
2020年 | 1571篇 |
2019年 | 1205篇 |
2018年 | 1098篇 |
2017年 | 1290篇 |
2016年 | 1526篇 |
2015年 | 1585篇 |
2014年 | 2278篇 |
2013年 | 2079篇 |
2012年 | 2627篇 |
2011年 | 2999篇 |
2010年 | 2419篇 |
2009年 | 2505篇 |
2008年 | 2684篇 |
2007年 | 2907篇 |
2006年 | 2719篇 |
2005年 | 2345篇 |
2004年 | 2001篇 |
2003年 | 1840篇 |
2002年 | 1400篇 |
2001年 | 1069篇 |
2000年 | 926篇 |
1999年 | 735篇 |
1998年 | 568篇 |
1997年 | 469篇 |
1996年 | 360篇 |
1995年 | 275篇 |
1994年 | 221篇 |
1993年 | 156篇 |
1992年 | 122篇 |
1991年 | 95篇 |
1990年 | 70篇 |
1989年 | 53篇 |
1988年 | 41篇 |
1987年 | 22篇 |
1986年 | 37篇 |
1985年 | 49篇 |
1984年 | 30篇 |
1983年 | 45篇 |
1982年 | 26篇 |
1981年 | 27篇 |
1980年 | 20篇 |
1979年 | 21篇 |
1978年 | 10篇 |
1976年 | 12篇 |
1975年 | 9篇 |
1973年 | 8篇 |
排序方式: 共有10000条查询结果,搜索用时 15 毫秒
991.
张绍兵 《计算机测量与控制》2008,16(12):1994-1995,2002
针对无指针式仪表表盘的数字识别问题,提出一种基于特征提取和粗糙集特征约简的神经网络数字识别方法;该方法首先利用数字图像预处理技术处理图像并利用特征提取方法提取数字图像特征,然后利用粗糙集理论进行特征约简,最后将约简后的信息输入到训练好的神经网络进行识别;实验表明,相对于传统方法,该方法具有识别率高、速度快的特点,具有较高的实用价值;并且该方法在保留神经网络高鲁棒性的同时,为快速准确地进行数字识别开辟了新的途径。 相似文献
992.
基于Agent的无线传感网QoS管理机制研究 总被引:2,自引:1,他引:1
陈晶 《计算机技术与发展》2008,18(11)
服务质量好坏是衡量无线传感器网络性能的重要因素.结合传感器网络的特点,提出了一种基于智能.Agent的QoS管理机制,对其组成形式和工作过程进行了研究,提出利用智能Agent实现服务质量管理和协商.与传统机制相比,它可以有效地减少网络中的通信流量,更好地保证应用的完成并延长网络生命期. 相似文献
993.
994.
This article presents a method for classifying color points for automotive applications in the Hue Saturation Intensity (HSI)
Space based on the distances between their projections onto the SI plane. Firstly the HSI Space is analyzed in detail. Secondly
the projection of image points from a typical automotive scene onto the SI plane is shown. The minimal classes relevant for
driver assistance applications are derived. The requirements for the classification of the points into those classes are obtained.
Several weighting functions are proposed and a fast form of an euclidean metric is investigated in detail. In order to improve
the sensitivity of the weighting function, dynamic coefficients are introduced. It is shown how to compute them automatically
in order to get optimal results for the classification. Finally some results of applying the metric to the sample images are
shown and the conclusions are drawn.
Calin Rotaru is a PhD candidate at the Department of Computer Science, University of Hamburg, Germany. His PhD work focuses on the topic color machine vision for driver assistance systems and is supported by Volkswagen AG, Group Research Electronics. He graduated (2002) with the topic “Stereo Camera Based Object Recognition” for Driver Assistance Systems from the Faculty of Automation and Computer Science of the Technical University of Cluj-Napoca, Romania. His research interests include color machine vision, smart vision systems, multisensorial data fusion and vision in driver assistance systems. Thorsten Graf received the diploma (M.Sc.) degree in computer science and the Ph.D. degree (his thesis was on “Flexible Object Recognition Based on Invariant Theory and Agent Technology”) from the University of Bielefeld, Bielefeld, Germany, in 1997 and 2000, respectively. In 1997 he became a Member of the “Task Oriented Communication” graduate program, University of Bielefeld, funded by the German research foundation DFG. In June 2001 he joined Volkswagen Group Research, Wolfsburg, Germany. Since then, he has worked on different projects in the area of driver assistance systems as a Researcher and Project Leader. He is the author or coauthor of more than 40 publications and owns several patents. His research interests include image processing and analysis dedicated to advanced comfort/safety automotive applications. Dr. Jianwei Zhang is full professor and director of the Institute of Technical Aspects of Multimodal Systems, Department of Computer Science, University of Hamburg, Germany. He is one of the Chair Professors “Human-Computer Interaction” of the Department of Computer Science of Tsinghua University. He received his Bachelor (1986) and Master degree (1989) from the Department of Computer Science of Tsinghua University, and his PhD (1994) from the Department of Computer Science, University of Karlsruhe, Germany. His research interests include multimodal information processing, robot learning, service robots, smart vision systems and Embodied Intelligence. In these areas he has published over 120 journal and conference papers, six book chapters and two research monographs. He leads numerous basic research and application projects, including the EU basic research programs and the Collaborative Research Centre supported by the German Research Council. Dr. Zhang has received multiple awards including the IEEE ROMAN Best Paper 2002. 相似文献
Jianwei ZhangEmail: |
Calin Rotaru is a PhD candidate at the Department of Computer Science, University of Hamburg, Germany. His PhD work focuses on the topic color machine vision for driver assistance systems and is supported by Volkswagen AG, Group Research Electronics. He graduated (2002) with the topic “Stereo Camera Based Object Recognition” for Driver Assistance Systems from the Faculty of Automation and Computer Science of the Technical University of Cluj-Napoca, Romania. His research interests include color machine vision, smart vision systems, multisensorial data fusion and vision in driver assistance systems. Thorsten Graf received the diploma (M.Sc.) degree in computer science and the Ph.D. degree (his thesis was on “Flexible Object Recognition Based on Invariant Theory and Agent Technology”) from the University of Bielefeld, Bielefeld, Germany, in 1997 and 2000, respectively. In 1997 he became a Member of the “Task Oriented Communication” graduate program, University of Bielefeld, funded by the German research foundation DFG. In June 2001 he joined Volkswagen Group Research, Wolfsburg, Germany. Since then, he has worked on different projects in the area of driver assistance systems as a Researcher and Project Leader. He is the author or coauthor of more than 40 publications and owns several patents. His research interests include image processing and analysis dedicated to advanced comfort/safety automotive applications. Dr. Jianwei Zhang is full professor and director of the Institute of Technical Aspects of Multimodal Systems, Department of Computer Science, University of Hamburg, Germany. He is one of the Chair Professors “Human-Computer Interaction” of the Department of Computer Science of Tsinghua University. He received his Bachelor (1986) and Master degree (1989) from the Department of Computer Science of Tsinghua University, and his PhD (1994) from the Department of Computer Science, University of Karlsruhe, Germany. His research interests include multimodal information processing, robot learning, service robots, smart vision systems and Embodied Intelligence. In these areas he has published over 120 journal and conference papers, six book chapters and two research monographs. He leads numerous basic research and application projects, including the EU basic research programs and the Collaborative Research Centre supported by the German Research Council. Dr. Zhang has received multiple awards including the IEEE ROMAN Best Paper 2002. 相似文献
995.
An efficient VLSI architecture and FPGA implementation of the Finite Ridgelet Transform 总被引:1,自引:0,他引:1
Shrutisagar Chandrasekaran Abbes Amira Shi Minghua Amine Bermak 《Journal of Real-Time Image Processing》2008,3(3):183-193
In this paper, an efficient architecture for the Finite Ridgelet Transform (FRIT) suitable for VLSI implementation based on
a parallel, systolic Finite Radon Transform (FRAT) and a Haar Discrete Wavelet Transform (DWT) sub-block, respectively is
presented. The FRAT sub-block is a novel parametrisable, scalable and high performance core with a time complexity of O(p
2), where p is the block size. Field Programmable Gate Array (FPGA) and Application Specific Integrated Circuit (ASIC) implementations
are carried out to analyse the performance of the FRIT core developed.
相似文献
Abbes AmiraEmail: |
996.
Service discovery is a critical task in distributed computing architectures for finding a particular service instance. Semantic
annotations of services help to enrich the service discovery process. Semantic registries are an important component for the
discovery of services and they allow for semantic interoperability through ontology-based query formulation and dynamic mapping
of terminologies between system domains. This paper evaluates two semantic registries—OWLJessKB implementation and instanceStore—to
determine the suitability of these with regards to the query response time and the overall scalability for use in mathematical
services. Mathematical ontologies from the MONET project are used to undertake comparison. The results demonstrate that the
performance of registries may be compared across two axes: (1) time to initialize (i.e. time to load an initial ontology into
memory); (2) time to query (i.e. time to reason with an ontology loaded into memory). 相似文献
997.
Saliency, Scale and Image Description 总被引:6,自引:0,他引:6
998.
Assessing Image Features for Vision-Based Robot Positioning 总被引:2,自引:0,他引:2
999.
增强现实技术在虚拟演播室系统中的应用 总被引:4,自引:0,他引:4
虚拟演播室是虚拟现实技术和视频合成技术相结合的产物,其场景是计算机生成的三维场景,由于人们对虚拟场景和复杂度的无限要求,使得场景的实时显示十分困难,使用基于图像的绘制技术构造虚拟空间能够较好地解决这个问题。在虚拟演播室中,演员需要与三维运动虚拟物体进行交互,运用增强现实技术,可以将三维虚拟物体与基于图象绘制的虚拟场景融合在一起。 相似文献
1000.
基于人类视觉感知特性的一种纹理图象分割方法 总被引:1,自引:0,他引:1
在纹理图象分割的研究领域中,基于人类视觉感知特性的图象分割方法是一个重要的新方向,本文给出了一种纹理图象分割的方法,设计了一组参数不同的2D最佳正交极可分方向滤波器来提取图象特征,然后经过四叉树平滑,用模糊C-均值聚类对图象进行分类,最后进行边缘确定,实验结果表明,这种方法能获得较好的分割效果。 相似文献