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配电网主站网络模型校核方法设计与实现 总被引:1,自引:0,他引:1
在配电网主站系统建设过程中,配电网网络模型的完整性和正确性是各个配电网分析应用模块赖以实用化的前提和基础。当前在建设配电网主站时,其基础性的配电网模型主要从地理信息系统(GIS)或生产管理系统(PMS)导入。在模型导入过程中缺乏有效的全局校核手段,难以从整体上检查系统网络模型的完整性和正确性。文中基于配电网主站系统,利用统计服务及拓扑服务,针对全局性网络模型设计实现一种模型完整性、正确性的校核方法,能够从整体上把控系统网络模型的变化及质量情况。通过具体工程应用,验证了该方法的可行性及有效性。 相似文献
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Richong ZHANG Han BAO Hailong SUN Yanghao WANG Xudong LIU 《Frontiers of Computer Science》2016,10(2):270-280
The rapid development of online services and information overload has inspired the fast development of recommender systems, among which collaborative filtering algorithms and model-based recommendation approaches are wildly exploited. For instance, matrix factorization (MF) demonstrated successful achievements and advantages in assisting internet users in finding interested information. These existing models focus on the prediction of the users’ ratings on unknown items. The performance is usually evaluated by the metric root mean square error (RMSE). However, achieving good performance in terms of RMSE does not always guarantee a good ranking performance. Therefore, in this paper, we advocate to treat the recommendation as a ranking problem. Normalized discounted cumulative gain (NDCG) is chosen as the optimization target when evaluating the ranking accuracy. Specifically, we present three ranking-oriented recommender algorithms, NSMF, AdaMF and AdaNSMF. NSMF builds a NDCG approximated loss function for Matrix Factorization. AdaMF is based on an algorithm by adaptively combining component MF recommenders with boosting method. To combine the advantages of both algorithms, we propose AdaNSMF, which is a hybird of NSMF and AdaMF, and show the superiority in both ranking accuracy and model generalization. In addition, we compare our proposed approaches with the state-of-the-art recommendation algorithms. The comparison studies confirm the advantage of our proposed approaches. 相似文献
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A combined method of numerical simulation and field testing was adopted in this study in the interest of solving the problem of hard to control high concentrate dusts on a fully mechanized mining face.In addition,the dust suppression effect of a multi-direction whirling air curtain was studied in this paper.Under the influence of the wall attachment effect,the compressed air which blows out from the two-phase or three-phase radial outlets on the generator of the air curtain can form a multi-direction whirling air curtain,which can cover the whole roadway section of a fully mechanized mining face.The traditional method of controlling dust is a forcing system with exhaust overlap which has the major disadvantage of lacking a jet effect and consequently results in poor dust control.It is difficult to form the air flow field within the range of Lp5Sr1/2.However,due to the effect of this novel system,the radial airflow can be turned into axial airflow allowing fresh air to flow through the length of the heading.The air flow field which is good at controlling dust diffusion can be formed 12.8 m from the heading face.Furthermore,the field measurement results show that before the application of a multi-direction whirling air curtain,the dust concentration is 348.6 mg/m3 and 271.4 mg/m3 respectively at the roadway cross-section measurement points which are 5 m and 10 m from the heading face.However,after the application of the multi-direction whirling air curtain,the dust concentration is only 61.2 mg/m3 and 14.8 mg/m3,respectively.Therefore,the dust control effect of a multi-direction whirling air curtain is obvious. 相似文献
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为解决变电站中自动化监控仪表读数的问题,提出基于机器学习和图像处理算法的指针式仪表自动读数方法,由仪表检测和指针识别两个阶段组成。使用全卷积网络(fully convolutional networks,FCN)对输入图像进行语义分割,以检测仪表的位置并提取仪表部分的图像。利用直方图均衡化、中值滤波和双边滤波减小光照和阴影对指针识别的干扰,并利用仿射变换矫正拍摄时的倾斜,再结合改进的霍夫变换识别仪表中指针的位置,从而计算指针角度获取读数。结果表明,对于自然场景中变电站中的指针式仪表,本研究能很好地检测出仪表并识别出指针的读数,对于光照和阴影等干扰具有良好的鲁棒性,可以显著减少变电站巡检人员的工作量,提高工作效率。 相似文献
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Manli Wang Kang An Yanghao Fang Guotong Wei Jie Yang Leimei Sheng Liming Yu Xinluo Zhao 《Journal of Materials Science: Materials in Electronics》2017,28(17):12475-12483
The CoFe2 attached single-walled carbon nanotubes (CoFe2@SWCNTs) and BaFe12O19 ferrite nanocomposites with different CoFe2@SWCNTs weight ratios (1, 3, 5, 7 wt%) were synthesized by a simple combination process. Then, the electromagnetic and microwave absorption properties were systematically investigated by a vector network analyzer in the frequency range of 2–18 GHz. High-quality CoFe2@SWCNTs were prepared by a direct current arc discharge method in one-step. BaFe12O19 nanocrystals were synthesized by a nitrate citric acid sol–gel auto-ignition method. The CoFe2@SWCNT/BaFe12O19 nanocomposites exhibited an efficient reflection loss (RL) and a wide absorption bandwidth. The minimum RL of ?54.13 dB was observed at 11.84 GHz for the nanocomposite (5 wt% CoFe2@SWCNTs) with a thickness of 2.8 mm, 3.4 times greater than those without CoFe2@SWCNTs, and a broad absorption bandwidth of 4.64 GHz (<?10 dB) was achieved. In addition, the nanocomposite (1 wt% CoFe2@SWCNTs) shows a broader effective microwave absorption bandwidth of 7.12 GHz with a thickness of 1.9 mm. The experimental results reveal that the absorbing properties of the nanocomposites are greatly improved by controlling the CoFe2@SWCNTs weight ratio and the matching thickness of the absorber. This CoFe2@SWCNT/BaFe12O19 nanocomposite is anticipated to be applied in advanced microwave absorbers. 相似文献
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在无人值守的城市污水泵站自动监控系统中,大功率水泵电机是主要的控制对象。文章通过对某一污水泵站控制要求的分析,在系统控制的可靠性和控制实现的简洁性、经济性之间寻优,给出了实现数台大功率水泵电机的均衡运行和自动轮植控制的一种方法。 相似文献
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