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Jo?o L. B. Carvalho Philip J. W. Roberts Jo?o Rold?o 《Canadian Metallurgical Quarterly》2002,128(2):151-160
Field observations of the Ipanema Beach, Rio de Janeiro, Brazil, ocean sewage outfall were obtained by adding dye tracers to the effluent and simultaneously measuring oceanographic conditions. Four experiments were performed, two during unstratified conditions, and two during stratified conditions. When stratified, the plume was trapped below the thermocline with low dilution, around 35 to 1, when unstratified, the plume surfaced and the dilution increased to more than 100 to 1. The results were compared with predictions of some commonly used near field plume mathematical models: UM3, RSB, and CORMIX. With suitable assumptions, all the models reasonably predict near field dilution. RSB predicts near field results directly; for UM3 and CORMIX, it was assumed that the end of the near field occurs when the plume reaches its terminal rise height or impacts the free surface. Different assumptions about the shape of the density profiles in CORMIX resulted in widely differing predictions of dilution. While the gross properties of the plume can be reasonably predicted by plume models, there remain many aspects which cannot be, particularly the patchy nature of the wastefield that has been observed here and in other field tests. 相似文献
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A Multirobot System for Distributed Area Coverage and Signal Searching in Large Outdoor Scenarios* 下载免费PDF全文
Mario Garzón João Valente Juan Jesús Roldán Leandro Cancar Antonio Barrientos Jaime Del Cerro 《野外机器人技术杂志》2016,33(8):1087-1106
This work presents a complete multirobot solution for signal searching tasks in large outdoor scenarios. An evaluation of two different coverage path‐planning strategies according to field size and shape is presented. A signal location system developed to simulate mines or chemical source detections is also described. The solution presented is a pioneer in evaluating multimaster robotics operative system architectures with a fleet of robots in real scenarios. This solution minimizes the use of communications bandwidth required for full operation. Finally, field results are provided, and the advantages of the implemented solution are analyzed. 相似文献
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In this paper we study an order barrier for low-storage diagonally implicit Runge–Kutta (DIRK) methods with positive weights. The Butcher matrix for these schemes, that can be implemented with only two memory registers in the van der Houwen implementation, has a special structure that restricts the number of free parameters of the method. We prove that third order low-storage DIRK methods must contain negative weights, obtaining the order barrier \(p\le 2\) for these schemes. This result extends the well known one for symplectic DIRK methods, which are a particular case of low-storage DIRK methods. Some other properties of second order low-storage DIRK methods are given. 相似文献
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T. Baidyk E. Kussul Z. Cruz Monterrosas A. J. Ibarra Gallardo K. L. Roldán Serrato C. Conde A. Serrano I. Martín de Diego E. Cabello 《Neural computing & applications》2016,27(4):973-987
Face recognition is an important security task. We propose a high-level method to solve this problem: a permutation coding neural classifier (PCNC). A PCNC with a special feature extractor for face image recognition systems is a relatively new method that has been tested with good results to classify real environment images (such as larvae of various types and handmade elements). As baseline methods, a support vector machine (SVM) and the iterative closest point (ICP) method are selected for comparison. We applied these methods to gray-level images from the FRAV3D face database. Fifteen experiments were performed to examine a large set of training and testing conditions. As a general result, it was observed that errors are lower with the PCNC than with the SVM and the ICP classifier. We aggregated various distortions for the initial images to improve the PCNC. We analyze and discuss the obtained results. 相似文献
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Production of bacterial nanocellulose from wine industry residues: Importance of fermentation time on pellicle characteristics 下载免费PDF全文
Patricia Cerrutti Pamela Roldán Ricardo Martínez García Miguel A. Galvagno Analía Vázquez María L. Foresti 《应用聚合物科学杂志》2016,133(14)
Bacterial nanocellulose (BNC) was produced by Gluconacetobacter xylinus under static conditions using grape pomace extract (the most abundant residue of the wine industry) as a carbon source and corn steep liquor (a byproduct of corn wet‐milling) as the main nitrogen source. Carbon and nitrogen source concentrations, as well as inocula size, fermentation time, and temperature, were all considered in order to maximize BNC production by the use of statistically designed experiments and the response surface methodology. At optimum production conditions, the effect of fermentation time on morphology, solids content, chemical structure, crystallinity, thermal decomposition pattern, and storage modulus of dried BNC pellicles was analyzed. The results evidenced that dried BNC pellicles that were incubated for longer times showed higher thermal stability, higher crystallinity, and higher storage modulus, resulting from a denser nanoribbons network. All of these characteristics will certainly play a role in the performance of BNC in practical applications. © 2015 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2016 , 133, 43109. 相似文献