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针对移动存储设备数据传递过程中面临的信息泄露、内容篡改等安全问题,基于多层嵌套混合加密思想,将ECC公钥密码体制与AES高级加密标准相结合,建立操作系统服务层的移动存储文件安全体系。设计了ECC密钥对存储格式、公钥离线交换机制和基于ECDH的密钥交换协议。将密钥信息以密文身份认证文件的形式随加密文件同时存储至移动存储设备中;解密时,以身份认证文件和ECC算法为依据进行解密。设计了二层混合加密和三层混合加密2种模式,使系统在安全和便捷方面具有一定的弹性,并在提高文件分发灵活度的同时,保证了系统的安全性。经严格测试,系统具有理想的安全性,能够实现对移动存储设备文件的有效防护。 相似文献
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KM6水平舱舱门是为“人-船-服”热真空联合试验的任务要求而定的,是KM6水平舱人员进出舱内的重要通道。在KM6水平舱各舱体上设置相应的气压平衡装置,以使方形舱门能在真空条件下转动或平动开闭。舱门为方形转动或平动舱门,门轴装置采用双轴铰链机构,开启灵活,联动锁紧机构可靠,使得舱门法兰结构形成可靠的真空自位密封。结果表明:该舱门系统经受了KM6水平舱联合调试和“SZ-6神舟六号”飞船轨道舱泄复压试验的考验,各项技术指标均满足要求,实现了真空条件下的快速开启和有效的自位密封,达到了研制目的。 相似文献
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Quanyong Cheng Shuangsheng Guo Weidang AiYongkang Tang Lifeng Qin 《Advances in Space Research (includes Cospar's Information Bulletin, Space Research Today)》2013
Material closure is important for the establishment of Bioregenerative Life Support System, and many studies have focused on transforming candidate plant residues into plant culture medium. For the limitations of using wheat straw compost as substrate for plant cultivation, a straw-soil co-composting technique was studied. The changes of pH, C/N value, germination index, cellulose, lignin and so on were monitored during the co-composting process. The maturity was evaluated by the C/N value and the germination index. The result showed that after 45 days’ fermentation, the straw-soil final co-compost with inoculation (T1) became mature, while the co-compost without inoculation (T0) was not mature. In the plant culture test, the T1 substrate could satisfy the needs for lettuce’s growth, and the edible biomass yield of lettuce averaged 74.42 g pot−1 at harvest. But the lettuces in T0 substrate showed stress symptoms and have not completed the growth cycle. Moreover, the results of nitrogen (N) transformation experiment showed that about 10.0% and 3.1% N were lost during the T1 co-composting and plant cultivation, respectively, 23.5% N was absorbed by lettuce, and 63.4% N remained in the T1 substrate after cultivation. 相似文献
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Application of SVM on satellite images to detect hotspots in Jharia coal field region of India 总被引:1,自引:0,他引:1
R.S. Gautam D. Singh A. Mittal P. Sajin 《Advances in Space Research (includes Cospar's Information Bulletin, Space Research Today)》2008,41(11):1784-1792
The present paper deals with the application of Support Vector Machine (SVM) and image analysis techniques on NOAA/AVHRR satellite image to detect hotspots on the Jharia coal field region of India. One of the major advantages of using these satellite data is that the data are free with very good temporal resolution; while, one drawback is that these have low spatial resolution (i.e., approximately 1.1 km at nadir). Therefore, it is important to do research by applying some efficient optimization techniques along with the image analysis techniques to rectify these drawbacks and use satellite images for efficient hotspot detection and monitoring. For this purpose, SVM and multi-threshold techniques are explored for hotspot detection. The multi-threshold algorithm is developed to remove the cloud coverage from the land coverage. This algorithm also highlights the hotspots or fire spots in the suspected regions. SVM has the advantage over multi-thresholding technique that it can learn patterns from the examples and therefore is used to optimize the performance by removing the false points which are highlighted in the threshold technique. Both approaches can be used separately or in combination depending on the size of the image. The RBF (Radial Basis Function) kernel is used in training of three sets of inputs: brightness temperature of channel 3, Normalized Difference Vegetation Index (NDVI) and Global Environment Monitoring Index (GEMI), respectively. This makes a classified image in the output that highlights the hotspot and non-hotspot pixels. The performance of the SVM is also compared with the performance obtained from the neural networks and SVM appears to detect hotspots more accurately (greater than 91% classification accuracy) with lesser false alarm rate. The results obtained are found to be in good agreement with the ground based observations of the hotspots. This type of work will be quite helpful in the near future to develop a hotspots monitoring system using these operational satellites data. 相似文献
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气动式溜车-管路系统是近年来兴起的一种高效的中,长距,离输送装置,它克服了常规运输系统运费高,噪声大和污染环境的缺点,在工程上有着良好的应用前景。本文对该系统的原理和原理和结构进行了较为细致的分析,并介绍了一个应用实例。 相似文献
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