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Journal of Inorganic and Organometallic Polymers and Materials - Copper oxide doped TeO2–B2O3 glass system with empirical formula;...  相似文献   
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We are concerned with models which are able to describe multiple-input multiple-output (MIMO) non-linear dynamic systems. These models are represented in the form of rules and are known as Tagaki-Sugeno models. An identification algorithm for these models based on input and output data is presented. Parameter estimation is based on the calculation of model sensitivity functions with respect to their parameters. Some aspects of structure identification are also tackled, i.e. determination of local model orders and number of rules.  相似文献   
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Na2BaMg(PO4)2 was synthesized and characterized by X-ray diffraction, differential thermal analysis (DTA), 31P NMR spectroscopy and photoluminescence measurements. This compound crystallized in the P3m...  相似文献   
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BACKGROUND: The characterisation of virgin olive oils from two Tunisian cultivars, growing in the Tataouin zone, namely Jemri‐Bouchouka, a rare olive cultivar, and Chemlali‐Tataouin, was carried out. Several analytical parameters were evaluated; these include quality index, fatty acids, phenolic, chlorophyll, carotenoid, squalene, α‐tocopherol compositions and oxidative stability. RESULTS: Jemri‐Bouchouka olive oil had the highest value of oleic acid (74.50%) while Chemlali‐Tataouin was characterised by a high percentage of palmitic acid (14.75%), which makes this oil freeze at a low temperature. On the other hand, Jemri‐Bouchouka oil was characterised by a low phenolic and α‐tocopherol content (267.72 mg GAE kg?1 and 278.34 mg kg?1, respectively). Ten phenolic compounds were identified. The main phenols found in the two olive oils were oleuropein aglycon and pinoresinol. All phenolic compounds showed significant correlations with oxidative stability. CONCLUSION: The analytical parameters of virgin olive oil that were determined in this study were greatly influenced by cultivar. © 2012 Society of Chemical Industry  相似文献   
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In this paper, we address the autonomic resource management problem for Virtual Private Networks (VPNs) in the presence of stochastic and selfish VPN operators. Resource management is one of the most important problems that faces Internet Service Providers. In the literature, the Autonomic Service Architecture is proposed to provide a resource management model that allows systems to manage themselves and aiming to utilize optimally the unused resources. Unfortunately, this model suffers from two major limitations. First, unused resources from underloaded VPNs (lenders) are utilized over the overloaded ones (borrowers) without considering the unexpected changes of the VPNs’ state, which may often happen in the case of multimedia transmissions. This may affect negatively the Quality-of-Service (QoS) of the lenders while improving the QoS of the borrowers. Second, underloaded VPNs’ operators might behave selfishly and refuse to lend their unused (spare) resources to other overloaded VPNs. To overcome these limitations, we propose a distributed autonomic resource management, which is modeled as a repeated non-cooperative game with stochastic and selfish players. The classical Tit-for-Tat strategy is modified to cope with VPN operators who are not always able to lend some resources to others. Four different strategies are derived from Tit-for-Tat to motivate VPN operators to lend their resources to others. As far as we know, our work is among the first efforts that uses repeated non-cooperative game theory to motivate selfish participants to cooperate and to distinguish between stochastic and purely selfish VPNs’ operators. In our setting, this results in cooperative sharing of unused resources among VPNs. Simulation results show that Tit-for-Tat strategy leads to deadlocks, while our strategies assure good gains to cooperative VPN operators and punish the selfish ones.  相似文献   
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Journal of Inorganic and Organometallic Polymers and Materials - Carbon-based materials such as graphene oxide are known as attractive candidate to improve the current optoelectronic and laser...  相似文献   
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BACKGROUND: The aim of this work was to study the chemical characteristics of two Tunisian cultivars, namely Dhokar and Gemri‐Dhokar, to analyse the fatty acids, sterols, triacylglycerols, triterpenic alcohols, and to determine the phenolic composition and oxidative stability. RESULTS: Among the rare varieties, Gemri‐Dhokar olive oil had the highest value of oleic acid (69.39%) whereas Dhokar oil was noteworthy for its lower content of phenolic compounds (94.56 mg kg?1 gallic acid equivalents of oil) and presented the highest level of palmitic acid (19.37%). The main sterols found in all olive oil samples were β‐sitosterol and Δ5‐avenasterol, whereas cholesterol and 24‐methylenecholesterol were also found in all samples but in lower amounts. Two triterpenic dialcohols (erythrodiol and uvaol) were also detected and their content ranged from 1.45 to 2.30%, in Gemri‐Dhokar and Dhokar olive oil, respectively. Ten phenolic compounds were identified. In all samples, the main phenols found were oleuropein aglycon and pinoresinol. These phenolic compounds showed significant correlations with oxidative stability. CONCLUSION: The analytical parameters of two oils that were determined in this study were greatly influenced by genetic factors (cultivar). © 2012 Society of Chemical Industry  相似文献   
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