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In the field of robust audio watermarking,how to seek a good trade-off between robustness and imperceptibility is challenging.The existing studies use the same embedding parameter for each part of the audio signal,which ignores that different parts may have different requirements for embedding parameters.In this work,the constraints on imperceptibility are first analysed.Then,we present a segment multi-objective optimization model of the scaling parameter under the constrained Signal-to-noise ratio (SNR) in Spread spectrum (SS)audio watermarking.Additionally,we adopt the Non-dominated sorting genetic algorithm Ⅱ (NSGA-Ⅱ) to solve the proposed model.Finally,we compare our algorithm(called SS-SNR-NSGA-Ⅱ) with the existing methods.The experimental results show that the proposed SS-SNR-NSGA-Ⅱ not only provides flexible choices for different application demands but also achieves more and better trade-offs between imperceptibility and robustness. 相似文献
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《Journal of the European Ceramic Society》2023,43(12):5319-5329
The cold sintering process (CSP) densifies ceramics below 300 °C by utilizing a transient phase and applied pressure. Although CSP has been employed for densifying a variety of functional systems, their structural integrity does not always reach that of conventionally sintered parts. On the example of ZnO, this study aims to eliminate processing-induced defects that compromise the strength of cold sintered materials. Ultrasonic evaluation was employed for nondestructive detection of flaws prior to mechanical testing. Load transfer misalignments and fast heating rates were found as major sources of defects, impairing the mechanical strength. Based on these findings, multiple disc-shaped samples (13 mm diameter and ∼1.3 mm thickness) were cold sintered simultaneously using precisely aligned punches and slow heating rates. The obtained homogeneous densification, high relative density (>97%) and relatively high strength (∼120 MPa), i.e. two times superior to previously reported values, demonstrates the feasibility of scaling up the CSP towards industrial implementation. 相似文献
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In this work a new method of Scaling Factor Regula Falsi type is developed, by using parabolic interpolation. It has global convergence and a high computational efficiency for simple roots. The method, not being a hybrid one, allows changing the function used for calculating the scaling factor at every iteration, making possible to switch to other more adequate methods for multiple roots (e.g., a generalised Illinois one). As an important feature of the method, it allows determining with no additional calculations, whether the root is simple or multiple. The developed algorithm has been tested with numerous functions extracted from the bibliography, performing, in most cases, better than some routines (like brentq, brenth and toms748) found in common numerical libraries. Fully operative routines of the new method are provided as supplementary files in four different programming languages: python, lua, C and Fortran90. 相似文献
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《International Journal of Hydrogen Energy》2023,48(71):27450-27463
Understanding multiphase flow close to the electrode surface is crucial to the design of electrolyzers, such as alkaline water electrolyzers for the production of green hydrogen. Vertical electrodes develop a narrow gas plume near their surface. We apply the integral method to the mixture model. Considering both exponentially varying and step-function gas fraction profiles, we derive analytical relations for plume thickness, velocity profile, and gas fraction near the electrode as a function of height and current density. We verify these analytical relations with the numerical solutions obtained using two-dimensional mixture model simulations. We find that for low gas fractions, the plume thickness decreases with an increase in current density for an exponentially varying gas fraction profile. In contrast, the plume thickness increases with increasing current density at high gas fractions for an approximately step-function-shaped gas fraction profile, in agreement with experiments from the literature. 相似文献
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The schedule of divisible loads is one of the most typical problems in the research and application of parallel and distributed systems. For these large‐scale systems, the energy consumption problem has drawn great attention in recent years because of falling hardware costs and the growing concern of energy costs. In computing‐intensive systems, energy is primarily consumed by CPUs, and dynamic voltage‐frequency scaling technology is capable of adjusting CPUs' speed as well as saving energy. In this paper, we focus on computing‐intensive applications and study the energy‐aware scheduling problem for divisible loads in a bus network. The energy‐speed model is introduced to characterize the problem based on dynamic voltage scaling, and the energy‐aware scheduling problem is analyzed in the application layer above the operating system. The problem can be formulated mathematically as a nonlinear programming problem, and the solution is achieved using the Lagrange multiplier method under Kuhn–Tucker conditions. Based on the analytical results, an energy‐aware scheduling scheme called ENERG for divisible loads is presented. Finally, the energy‐aware scheme is compared with two other schemes to show the effectiveness and efficiency of the energy savings of our algorithm. Additionally, the experimental results illustrate the influence of network transmission delay on energy consumption. Copyright © 2015 John Wiley & Sons, Ltd. 相似文献
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