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拉密法在羊毛衫尺寸控制中的应用 被引量:2
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作者 范友红 李小辉 《毛纺科技》 CAS 北大核心 2006年第12期32-35,共4页
文章介绍了拉密法、试片与平方的详细概念,以及拉密法试件中的应用和工艺单的具体制作。通过举例着重介绍了拉密法在控制羊毛衫尺寸中的应用,并列举了实际生产中几种常用针织衫的拉密数据。
关键词 羊毛衫 拉密法 成品密度 毛坯密度 平方
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横机毛衫编织纱线线密度选择和参数控制 被引量:4
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作者 孙锋 《纺织学报》 EI CAS CSCD 北大核心 2004年第3期89-91,共3页
论述横机毛衫编织时纱线线密度与机号的关系 ,提出纱线线密度选择的经验公式。根据横机毛衫编织的特点 ,分析毛衫衣片最大圈高与最大圈距的关系及应用拉密法来控制横机毛衫编织工艺参数的方法。
关键词 横机 纱线线密度 机号 拉密法
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Distributed Chunk-Based Optimization for MultiCarrier Ultra-Dense Networks 被引量:2
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作者 GUO Shaozhen XING Chengwen +2 位作者 FEI Zesong ZHOU Gui YAN Xinge 《China Communications》 SCIE CSCD 2016年第1期80-90,共11页
In this paper,a distributed chunkbased optimization algorithm is proposed for the resource allocation in broadband ultra-dense small cell networks.Based on the proposed algorithm,the power and subcarrier allocation pr... In this paper,a distributed chunkbased optimization algorithm is proposed for the resource allocation in broadband ultra-dense small cell networks.Based on the proposed algorithm,the power and subcarrier allocation problems are jointly optimized.In order to make the resource allocation suitable for large scale networks,the optimization problem is decomposed first based on an effective decomposition algorithm named optimal condition decomposition(OCD) algorithm.Furthermore,aiming at reducing implementation complexity,the subcarriers are divided into chunks and are allocated chunk by chunk.The simulation results show that the proposed algorithm achieves more superior performance than uniform power allocation scheme and Lagrange relaxation method,and then the proposed algorithm can strike a balance between the complexity and performance of the multi-carrier Ultra-Dense Networks. 展开更多
关键词 ultra-dense small cell networks optimization chunk power allocation subcarrier allocation distributed resource allocation
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Multicarbons generation factory:CuO/Ni single atoms tandem catalyst for boosting the productivity of CO_(2)electrocatalysis 被引量:12
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作者 Yu Zhang Peng Li +5 位作者 Changming Zhao Gang Zhou Fangyao Zhou Qitao Zhang Chenliang Su Yuen Wu 《Science Bulletin》 SCIE EI CAS CSCD 2022年第16期1679-1687,M0004,共10页
Tandem electrocatalysis is an emerging concept for effective electrochemical CO_(2) reduction reaction(CO_(2)RR)towards multicarbons(C_(2+)).This decouples the multiple steps of CO_(2)-to-C_(2+)into two steps of CO_(2... Tandem electrocatalysis is an emerging concept for effective electrochemical CO_(2) reduction reaction(CO_(2)RR)towards multicarbons(C_(2+)).This decouples the multiple steps of CO_(2)-to-C_(2+)into two steps of CO_(2)-to-CO and CO-to-C_(2+)catalyzed by individual catalysts,to improve the Faradic efficiency(FE).However,due to the mass-transport limitation of CO from the generation site to the long-distance consumption site,such a strategy still remains challenge for high-rate production of C_(2+)products.Herein,we designed CuO/Ni single atoms tandem catalyst,which made the catalytic sites of Ni and Cu for independently catalyzing CO_(2)-to-CO and CO-to-C_(2+)compactly neighbored,enabling the in-situ generation and rapid consumption of CO.The CuO/Ni SAs tandem catalyst achieved a particularly high partial current density of C_(2+)products(1220.8 mA/cm^(2)),while still maintained outstanding C_(2+)products FE(81.4%)and excellent selectivities towards ethylene(FE 54.1%)and ethanol(FE 28.8%),enabling the profitable production of multicarbons by CO_(2)RR. 展开更多
关键词 CO_(2)electroreduction Tandem catalyst Multicarbons Adjacent nanostructures High production rate
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Depth-aided inpainting for disocclusion restoration of multi-view images using depth-image-based rendering 被引量:7
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作者 Kai LUO Dong-xiao LI +1 位作者 Ya-mei FENG Ming ZHANG 《Journal of Zhejiang University-Science A(Applied Physics & Engineering)》 SCIE EI CAS CSCD 2009年第12期1738-1749,共12页
A new algorithm is proposed for restoring disocclusion regions in depth-image-based rendering (DIBR) warped images. Current solutions include layered depth image (LDI), pre-filtering methods, and post-processing m... A new algorithm is proposed for restoring disocclusion regions in depth-image-based rendering (DIBR) warped images. Current solutions include layered depth image (LDI), pre-filtering methods, and post-processing methods. The LDI is complicated, and pre-filtering of depth images causes noticeable geometrical distortions in cases of large baseline warping. This paper presents a depth-aided inpainting method which inherits merits from Criminisi's inpainting algorithm. The proposed method features incorporation of a depth cue into texture estimation. The algorithm efficiently handles depth ambiguity by penalizing larger Lagrange multipliers of flling points closer to the warping position compared with the surrounding existing points. We perform morphological operations on depth images to accelerate the algorithm convergence, and adopt a luma-first strategy to adapt to various color sampling formats. Experiments on test multi-view sequence showed that our method has superiority in depth differentiation and geometrical loyalty in the restoration of warped images. Also, peak signal-to-noise ratio (PSNR) statistics on non-hole regions and whole image comparisons both compare favorably to those obtained by state of the art techniques. 展开更多
关键词 Depth-aided inpainting Disocclusion restoration Depth-image-based rendering (DIBR) Image warping Stereoscopic image Multi-view image 3D-TV
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