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51.
In typical production-inventory models of deteriorating items, deterioration of the production process has not been considered. In this paper, a model is proposed in which both the produced items and the production equipment deteriorate. When the production system deteriorates, it shifts to an out-of-control state and begins to produce a proportion of defective items, necessitating corrective maintenance action. A model is formulated to integrate several realistic aspects, including item and process deterioration, varying demand and production rates, quality, inspection, and maintenance. A heuristic solution algorithm is developed to determine the production and inspection schedules, and a numerical example is solved. 相似文献
52.
M. Vaqas M. A. Iqbal M. Aliemuddin Naveed A. M. Tahir H. M. Arshad 《Petroleum Science and Technology》2013,31(15-16):1449-1453
The crude composition was determined by distillation on a true boiling point apparatus individually. Then crude naphthas were introduced to a gas chromatograph and asphaltenes were determined by extraction. Quantities of key components were calculated by prescribed mathematical equations. On the basis of relative quantities of key components, 21 blends of 12 crudes were prepared caused asphaltenes precipitation in desalter. Seven blends remained successful, causing no further asphaltenes precipitation, and one of the successful blends was chosen to prepare a batch of 55,000 barrels and was passed through desalter. No further asphaltenes precipitation was found during the whole operation. 相似文献
53.
54.
Highly Functional TNTs with Superb Photocatalytic,Optical, and Electronic Performance Achieving Record PV Efficiency of 10.1% for 1D‐Based DSSCs
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Muhammad Bilal Qadir Yuewen Li Iftikhar Ali Sahito Alvira Ayoub Arbab Kyung Chul Sun Naveed Mengal Anam Ali Memon Sung Hoon Jeong 《Small (Weinheim an der Bergstrasse, Germany)》2016,12(33):4508-4520
Different nanostructures of TiO2 play an important role in the photocatalytic and photoelectronic applications. TiO2 nanotubes (TNTs) have received increasing attention for these applications due to their unique physicochemical properties. Focusing on highly functional TNTs (HF‐TNTs) for photocatalytic and photoelectronic applications, this study describes the facile hydrothermal synthesis of HF‐TNTs by using commercial and cheaper materials for cost‐effective manufacturing. To prove the functionality and applicability, these TNTs are used as scattering structure in dye‐sensitized solar cells (DSSCs). Photocatalytic, optical, Brunauer‐Emmett‐Teller (BET), electrochemical impedance spectrum, incident‐photon‐to‐current efficiency, and intensity‐modulated photocurrent spectroscopy/intensity‐modulated photovoltage spectroscopy characterizations are proving the functionality of HF‐TNTs for DSSCs. HF‐TNTs show 50% higher photocatalytic degradation rate and also 68% higher dye loading ability than conventional TNTs (C‐TNTs). The DSSCs having HF‐TNT and its composite‐based multifunctional overlayer show effective light absorption, outstanding light scattering, lower interfacial resistance, longer electron lifetime, rapid electron transfer, and improved diffusion length, and consequently, J SC, quantum efficiency, and record photoconversion efficiency of 10.1% using commercial N‐719 dye is achieved, for 1D‐based DSSCs. These new and highly functional TNTs will be a concrete fundamental background toward the development of more functional applications in fuel cells, dye‐sensitized solar cells, Li‐ion batteries, photocatalysis process, ion‐exchange/adsorption process, and photoelectrochemical devices. 相似文献
55.
This study analyzes Hall current and Joule heating effects on the ferro-nanofluid flow by the rotation of the disk incorporated with generalized slip condition. By using the well-known Von Karman transformation, formulated flow equations are modeled into ordinary differential equations. Numerical solutions of the governing flow equations are attained by utilizing the shooting method consolidated with the fourth-order Runge–Kutta scheme. The impacts of different parameters on skin friction coefficient, velocity, temperature, and Nusselt number are given in graphs and tables and investigated in detail. Furthermore, an association with formerly published articles is given and met in remarkable correspondence. 相似文献
56.
Khan Muhammad Zafar Ullah Malik Aqdas Naveed Zaman Fawad Qureshi Ijaz Mansoor 《Wireless Personal Communications》2019,104(1):21-36
Wireless Personal Communications - In this work, we propose a new and efficient algorithm to mitigate the signal look direction error problem in adaptive beamforming without broadening the main... 相似文献
57.
Sajjad Muhammad Ullah Amin Ahmad Jamil Abbas Naveed Rho Seungmin Baik Sung Wook 《Multimedia Tools and Applications》2018,77(4):4769-4789
Multimedia Tools and Applications - Content based image retrieval (CBIR) systems allow searching for visually similar images in large collections based on their contents. Visual contents are... 相似文献
58.
Mubashir Hussain Naveed Iqbal Raja ZiaUrRehman Mashwani Muhammad Iqbal Muhammad Ejaz Farhat Yasmeen Sohail 《IET nanobiotechnology / IET》2017,11(7):790
Green synthesis of nanoparticles by using plants is an emerging class of nanobiotechnology. It revolutionizes all the fields of nanobiotechnology by synthesizing chemical‐free nanoparticles for various purposes. In the present study, zinc and copper nanoparticles were synthesized by using the white leaves of Allium cepa and further characterized through Zeta analyzer and Scanning electron microscopy. Zeta analyzer elucidated that zinc nanoparticles ranged from 8‐32 nm while copper nanoparticles ranged from 15‐30 nm. Scanning electron microscopy clarified that zinc nanoparticles were irregular while copper nanoparticles were spherical in shape. The effects of green synthesized nanoparticles were evaluated on the germination frequency and biochemical parameters of plant tissues. The nucellus tissues were inoculated on Murashige and Skoog (MS) medium augmented with 30 µg/ml suspension of zinc and copper nanoparticles. Green synthesized nanoparticles enhanced the in vitro germination parameters because of their low toxicity and high efficacy. Significant results were obtained for germination parameters in response to the applications of zinc nanoparticles as compared to copper nanoparticles. These nanoparticles could also induce stress in plantlets by manipulating the endogenous mechanism as a result various defence compounds are produced which have potential in treating various human ailments. Copper nanoparticles showed higher toxicity as compared to zinc nanoparticles and triggered the production of antioxidative enzymes and non‐ enzymatic compounds.Inspec keywords: botany, zinc, copper, nanoparticles, nanofabrication, biochemistry, scanning electron microscopy, electrokinetic effects, biological tissues, toxicology, nanobiotechnology, biological techniquesOther keywords: in vitro germination, biochemical profiling, citrus reticulata, green synthesised zinc nanoparticles, green synthesised copper nanoparticles, green chemistry, secondary metabolites, nanoparticles synthesis, white leaves, Allium cepa, zeta analyser, scanning electron microscopy, onion extract, nucellus tissues, Murashige‐Skoog medium, biologically synthesised nanoparticles, toxicity, root length, shoot length, seedling vigour index, plantlets, endogenous mechanism, human ailments, antioxidative enzymes, nonenzymatic compounds, size 8 nm to 32 nm, Zn, Cu 相似文献
59.
Naveed Ahmed Tomás Chacón Rebollo Volker John Samuele Rubino 《Archives of Computational Methods in Engineering》2017,24(1):115-164
Various realizations of variational multiscale (VMS) methods for simulating turbulent incompressible flows have been proposed in the past fifteen years. All of these realizations obey the basic principles of VMS methods: they are based on the variational formulation of the incompressible Navier–Stokes equations and the scale separation is defined by projections. However, apart from these common basic features, the various VMS methods look quite different. In this review, the derivation of the different VMS methods is presented in some detail and their relation among each other and also to other discretizations is discussed. Another emphasis consists in giving an overview about known results from the numerical analysis of the VMS methods. A few results are presented in detail to highlight the used mathematical tools. Furthermore, the literature presenting numerical studies with the VMS methods is surveyed and the obtained results are summarized. 相似文献
60.
Farrukh Shahzad Sohail Masood Naveed Kazim Khan 《Knowledge and Information Systems》2014,39(3):703-737
A probabilistic opposition-based Particle Swarm Optimization algorithm with Velocity Clamping and inertia weights (OvcPSO) is designed for function optimization—to accelerate the convergence speed and to optimize solution’s accuracy on standard benchmark functions. In this work, probabilistic opposition-based learning for particles is incorporated with PSO to enhance the convergence rate—it uses velocity clamping and inertia weights to control the position, speed and direction of particles to avoid premature convergence. A comprehensive set of 58 complex benchmark functions including a wide range of dimensions have been used for experimental verification. It is evident from the results that OvcPSO can deal with complex optimization problems effectively and efficiently. A series of experiments have been performed to investigate the influence of population size and dimensions upon the performance of different PSO variants. It also outperforms FDR-PSO, CLPSO, FIPS, CPSO-H and GOPSO on various benchmark functions. Last but not the least, OvcPSO has also been compared with opposition-based differential evolution (ODE); it outperforms ODE on lower swarm population and higher-dimensional functions. 相似文献