Content-aware image resizing based on random-carving with probability

To improve the running speed of image resizing,a fast content-aware image resizing algorithm was proposed based on the threshold learning and random-carving with probability.Firstly the important map was calculated by combining the graph-based visual saliency map and gradient map.Then the image threshold value was obtained by radial basis function (RBF) neural network learning.And by the threshold,the original image was separated into the protected part and the unprotected part which was corresponding to the important part and the unimportant part of the original image individually.Finally,the two parts were allocated different resizing scales and the random-carving with probability was applied to them respectively.Experiments results show that the proposed algorithm has lower time cost comparing to the state-of-arts algorithms in MSRA image database,and has a better visual perception on image resizing.     

Pure CuBi2O4 Photoelectrodes with Increased Stability by Rapid Thermal Processing of Bi2O3/CuO Grown by Pulsed Laser Deposition

A new method for enhancing the charge separation and photo‐electrochemical stability of CuBi₂O₄ photoelectrodes by sequentially depositing Bi₂O₃ and CuO layers on fluorine‐doped tin oxide substrates with pulsed laser deposition (PLD), followed by rapid thermal processing (RTP), resulting in phase‐pure, highly crystalline films after 10 min at 650 °C, is reported. Conventional furnace annealing of similar films for 72 h at 500 °C do not result in phase‐pure CuBi₂O₄. The combined PLD and RTP approach allow excellent control of the Bi:Cu stoichiometry and results in photoelectrodes with superior electronic properties compared to photoelectrodes fabricated through spray pyrolysis. The low photocurrents of the CuBi₂O₄ photocathodes fabricated through PLD/RTP in this study are primarily attributed to their low specific surface area, lack of CuO impurities, and limited, slow charge transport in the undoped films. Bare (without protection layers) CuBi₂O₄ photoelectrodes made with PLD/RTP shows a photocurrent decrease of only 26% after 5 h, which represents the highest stability reported to date for this material. The PLD/RTP fabrication approach offers new possibilities of fabricating complex metal oxides photoelectrodes with a high degree of crystallinity and good electronic properties at higher temperatures than the thermal stability of glass‐based transparent conductive substrates would allow.     

Reduced pressure and temperature epitaxial silicon CVD kinetics and applications

In the rapidly advancing VLSI technology the scaling of devices for higher density and better performance imposes new requirements on semiconductor materials and processes. The ability to grow thin Si epitaxial layers with sharp transition widths and of high crystallographic quality is essential for high speed technology. Using a Rapid Thermal Processing system we have studied the kinetic aspects of the most useful reacting gases like: silane, dichlorosilane and disilane. We have obtained significant results specific to the working temperatures (650 to 1100° C) and pressures (around 2 Torr). A comparative study of these systems will be presented in terms of growth rate, selectivity and defect production. We also show the feasibility of some devices and techniques where the thermal budget is of primary importance: (i) epitaxial silicon deposition on porous silicon; (ii) epitaxial silicon growth over the gate structure of a permeable base transistor and (iii) the selective deposition of TiSi₂ with no substrate consumption.     

Fe-C混合粉末激光烧结成形致密度分析

分析了金属粉末激光选区烧结成形过程致密化机制。选择不同的参数对Fe-C混合粉末进行了激光烧结成形实验,根据烧结件微观结构分析了金属粉末的致密化机制,根据致密度数据分析成形参数与致密度的关系建立了数学模型。结果表明,Fe-C混合粉末在低功率激光作用下部分粉末熔化形成液相,在液相的参与下粉末通过重排、溶解沉淀导致致密化。成形参数对致密度的影响归结于烧结过程中产生的液相量,激光功率的增加、扫描间隔的减小、扫描速度的降低和切片层厚的减少都会提高烧结件的致密度。     

内存映射文件及其在广义舒适度仿真中的应用

本文分析了win32系统下的虚拟内存系统模式及内存映射文件的工作机理,介绍了如何用windows API将文件映射至内存,利用原型页表入口技术实现了多个进程之间的数据共享。通过实验数据得出,采用内存映射文件读取高速服役列车的广义舒适度仿真中的超大数据文件,其效率远远高于传统的基于文件I/O方式的数据存取。     

纳米非晶态Ni(OH)_2电极材料的稀土掺杂改性研究

为了提高镍基二次电池正极材料的电化学性能,采用微乳液快速冷冻沉淀法制备出稀土Ce掺杂纳米级非晶态氢氧化镍粉体材料.采用Raman,XRD,SEM和TEM对其结构形态进行了表征分析,采用交流阻抗谱(EIS)和充放电性能对其电化学性能进行了测试.结果发现,掺入适量的Ce可以进一步增强纳米非晶态氢氧化镍的无序性并且使颗粒细化,进而使其电化学反应的电荷转移电阻降低,电化学活性明显增强.样品作为MH-Ni电池正极材料以0.2 C充放电,终止电压为1.0 V,当掺杂Ce的质量分数为4%时,其放电比容量达到336.7 mAh/g,这明显高于晶态β-氢氧化镍电极材料289 mAh/g的理论容量,说明纳米非晶态氢氧化镍作为高活性电极材料具有很好的应用前景.     

底电极对PYZT铁电薄膜电容器的影响

ＰＹＺＴ铁电薄膜电容器的制备采用ｓｏｌ－ｇｅｌ方法,将约５００ｎｍ厚的ＰＹＺＴ薄膜沉积在Ｐｔ／Ｔｉ、Ｐｔ／ＳｉＯ２及Ｐｔ／ＲｕＯ２底电极上,基片为Ｓｉ（１１１）。详细分析研究了ＰＹＺＴ薄膜在不同底电极,不同快速热处理温度下的晶相结构及ＰＹＺＴ铁电薄膜电容器的小信号特性。研究发现,沉积在Ｐｔ／ＲｕＯ２底电极上的ＰＹＺＴ薄膜经８００℃快速热处理具有较接近理想外延ＰＹＺＴ薄膜结构,而且εｒ随着快速热处理温度升高而减小,在８００℃快速热处理条件下其εｒ约为１５０。     

Al_2O_3颗粒对Al-Zn合金激光快凝组织的影响

通过比较Ａｌ－Ｚｎ合金和Ａｌ_２Ｏ_（３ｐ）／Ａｌ－Ｚｎ复合材料的激光重熔组织。分析Ａｌ_２Ｏ_３颗粒对Ａｌ－Ｚｎ合金激光快凝组织的影响规律。实验结果表明,Ａｌ_２Ｏ_３颗粒可以显著细化激光熔区的晶粒。基于凝固界面与颗粒交互作用的理论分析,给出了晶粒细化的临界条件。     

灾后混凝土工程快速修补材料的研究

为了确定磷酸盐胶凝材料(MPB)的最佳配合比,研究调凝组份、磷酸盐/MgO(w(P)/w(M))、灰砂比、掺粉煤灰对MPB胶凝材料凝结时间和强度发展等的影响规律,并分析它与传统水泥混凝土间的兼容性及其硬化机理.结果表明:当调凝组份掺量为10%左右时,可使MPB水泥凝结时间控制在15～30 min内.当w(P):w(M)为1:2时,MPB水泥浆体的强度达到最高值,3 h抗压强度可达到40 MPa以上,1 d时强度超过50 MPa.灰砂比(w(MPB):w(S))为1:1.5时,砂浆强度达到最高值,3 h抗压强度达到50 MPa,抗折强度达到9.1 MPa.在保持流动度不变情况下,掺粉煤灰并不降低MPB胶凝材料强度,并可使其颜色与普通水泥混凝土接近.MPB遇水后生成以MgNH_4PO_4·6H_2O为主的反应产物,它与传统水泥混凝土间具有很好兼容性,因而适合于灾后混凝土工程的快速修复.