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1.
In executing tasks involving intelligent information processing, the human brain performs better than the digital computer. The human brain derives its power from a large number [O(1011)] of neurons which are interconnected by a dense interconnection network [O(105) connections per neuron]. Artificial neural network (ANN) paradigms adopt the structure of the brain to try to emulate the intelligent information processing methods of the brain. ANN techniques are being employed to solve problems in areas such as pattern recognition, and robotic processing. Simulation of ANNs involves implementation of large number of neurons and a massive interconnection network. In this paper, we discuss various simulation models of ANNs and their implementation on distributed memory systems. Our investigations reveal that communication-efficient networks of distributed memory systems perform better than other topologies in implementing ANNs. 相似文献
2.
3.
Engineering with Computers - The vibration and damping characteristics of carbon nanotubes reinforced (CNTR) skewed shell structure under a hygrothermal environment have been investigated using the... 相似文献
4.
Debprakash Patnaik Srivatsan Laxman Naren Ramakrishnan 《Knowledge and Information Systems》2011,29(2):273-303
Mining temporal network models from discrete event streams is an important problem with applications in computational neuroscience,
physical plant diagnostics, and human–computer interaction modeling. In this paper, we introduce the notion of excitatory
networks which are essentially temporal models where all connections are stimulative, rather than inhibitive. The emphasis
on excitatory connections facilitates learning of network models by creating bridges to frequent episode mining. Specifically,
we show that frequent episodes help identify nodes with high mutual information relationships and that such relationships
can be summarized into a dynamic Bayesian network (DBN). This leads to an algorithm that is significantly faster than state-of-the-art
methods for inferring DBNs, while simultaneously providing theoretical guarantees on network optimality. We demonstrate the
advantages of our approach through an application in neuroscience, where we show how strong excitatory networks can be efficiently
inferred from both mathematical models of spiking neurons and several real neuroscience datasets. 相似文献
5.
Therese Hurtuk C. C. Menzemer A. Patnaik T. S. Srivatsan K. Manigandan T. Quick 《Journal of Materials Engineering and Performance》2012,21(11):2363-2374
In this article, the influence of bolt holes, specifically their number and layout on strength, deformation, and final fracture behavior of titanium alloy gusset plates under the influence of an external load is presented and discussed. Several plates having differences in both the number and layout of the bolt holes were precision machined and then deformed under quasi-static loading. The specific influence of number of bolt holes and their layout on maximum load-carrying capability and even fracture load was determined. The conjoint influence of bolt number, bolt layout pattern, nature of loading, contribution from local stress concentration, and intrinsic microstructural effects in governing the macroscopic fracture mode and intrinsic microscopic mechanisms is presented and discussed. 相似文献
6.
Silicon - Silicon (Si) and silver (Ag) doped amorphous carbon (a-C) thin film were deposited on chrome nitrided 316 LVM stainless steel using filtered cathodic vacuum arc (FCVA) deposition... 相似文献
7.
B. Zhang Kuiying Chen N. Baddour P. C. Patnaik 《Journal of Thermal Spray Technology》2017,26(5):902-912
The failure analysis and life prediction of atmospheric plasma-sprayed thermal barrier coatings (APS-TBCs) were carried out for a thermal cyclic process. A residual stress model for the top coat of APS-TBC was proposed and then applied to life prediction. This residual stress model shows an inversion characteristic versus thickness of thermally grown oxide. The capability of the life model was demonstrated using temperature-dependent model parameters. Using existing life data, a comparison of fitting approaches of life model parameters was performed. A larger discrepancy was found for the life predicted using linearized fitting parameters versus temperature compared to those using non-linear fitting parameters. A method for integrating the residual stress was proposed by using the critical time of stress inversion. The role of the residual stresses distributed at each individual coating layer was explored and their interplay on the coating’s delamination was analyzed. 相似文献
8.
Mukesh KumarBhabani K. Satapathy Amar Patnaik Dilip K. KolluriBharat S. Tomar 《Tribology International》2011,44(4):359-367
Composite friction materials based on synergistic ternary combination of potassium titanate whiskers, aramid fibre and graphite have been characterized for friction braking performance on Krauss friction tester. The dynamics of friction build-up and friction-decay as a function of number of braking instances and modes of braking cycles have been found to be more consistent in the composites with ≥7.5 wt% of aramid fibres whereas the absolute friction effectiveness remained higher in the composites with ≥25 wt% of potassium titanate whiskers. Wear surface morphology has revealed topographical variations and their underlying role in controlling the friction and wear performance. 相似文献
9.
The sulfidation kinetics and morphological development of reaction products are reported for Fe-9 and 18 at.% Al alloys exposed at 1173 K to H2S-H2 atmospheres at sulfur pressures in the range 10–1–103 Pa. The Fe-9 Al alloy sulfidized parabolically at
Pa giving rise to a duplex scale composed of an outer Al-doped FeS layer and an inner FeS + FeAl2S4 lamellar layer and to an internal sulfidation zone containing Al2S3 precipitates. The Fe-18 Al alloy which was sulfidized at
. 相似文献
10.
Performance assessment of hybrid composite friction materials based on flyash–rock fibre combination
Nandan Dadkar Bharat S. Tomar Bhabani K. Satapathy Amar Patnaik 《Materials & Design》2010,31(2):723-731
Friction composites based on several combinations of flyash and inorganic mineral rock fibres such as lapinus™ fibre were fabricated, characterised and tribo-evaluated. The tribo-performance in terms of their friction-fade and friction-recovery behaviour has been rigorously evaluated while synchronously taking into account of the in situ braking induced temperature rise in the disc at the braking interface on a Krauss friction testing machine following pulse velocity wave (PVW) 3212 norms as per the Economic Commission for Europe (ECE) regulations. The fade behaviour has been observed to be highly dependent on the combination of flyash–lapinus fibre e.g. fade remained maximum (45%) in the composite with the highest amount of lapinus fibre content and lowest amount of flyash whereas the frictional fluctuations in terms of μmax − μmin has been observed to be higher in case of low flyash–high lapinus fibre combination. The recovery response seemed unaffected by the disparity of ingredients and remained consistently stable within the range of 112 ± 2%. The analysis of friction and wear performance has revealed that flyash along with lapinus fibre provide thermo-mechanical stability and overall mechanical integrity to the system causing reduction in friction-fade whereas wear was found to be more recovery-controlled and less fade controlled. Worn surface morphology investigation using SEM has been carried out which has revealed that the interplay of flyash–lapinus combination and topographical attributes vis-a-vis dynamics of contact patches (formation–destruction) largely influence the friction and wear performance of such composites. 相似文献