Theoretical analysis of long-lived radioactive waste in pressurized water reactor

Background The accelerator-driven subcritical transmuta-tion system(ADS)is an advanced technology for the harmless disposal of nuclear waste.A theoretical analy...     

虚拟环境中三维CAD模型数据优化及重组

三维CAD在虚拟环境中有着广泛的应用,其模型数据由于具有复杂的结构且拥有较多的冗余信息而不能高效的运用到虚拟环境的构建中。基于此,针对虚拟场景渲染对数据模型的要求,给出了三维CAD模型数据优化及重组方法,该方法能去除冗余信息,优化文件结构,丰富数据内容,且能够有效地提高虚拟环境的绘制效率。     

Design optimization and cold RF test of a 2.6-cell cryogenic RF gun

To further improve the performance of acceler-ators, the first cryogenic normal-conducting RF gun in China was designed and manufactured. As a new and attractiv...     

氨基脲衍生物的合成及其阴离子识别性能

以3-异氰酸丙基三乙氧基硅烷和2,4-二硝基苯肼为原料,制备了一种氨基脲衍生物阴离子受体R,通过1HNMR、13CNMR、FTIR和HRMS对其结构进行了表征.在二甲基亚砜(DMSO)体系,受体R通过UV-Vis吸收光谱的变化及溶液颜色的显著差别对F–、CH3COO–(Ac–)和CN–表现出良好的识别能力.此外,通过向...     

A revisit of the local scour around bridge piers under an ice-covered flow condition-An experimental study

In this study,by changing both pier diameters and particle sizes of sand bed in flume experiments,the scour process around cylindrical bridge piers under an ice...     

A 20.8-Gbps Dual-Carrier Wireless Communication Link in 220-GHz Band

With the successful demonstration of terahertz (THz) high-speed wireless data transmission,the THz frequencies are now becoming a worth candidate for post-5G wi...     

原料润磨对造球和焙烧过程的影响

通过生产试验,研究了原料润磨比对生球强度的影响,在实验室进行了不同温度的焙烧试验,测量了原料不同润磨比时球团矿的常温抗压强度,研究了球团矿氧化焙烧过程中热态强度的变化规律.     

Velocity and turbulence characteristics in an open channel with multi-row staggered vegetation patches

A staggered distribution of vegetation is very common in nature,which might significantly affect the flow structure.To investigate its impact,three rows of stag...     

Artistic features extraction from chinese calligraphy works via regional guided filter with reference image

Chinese calligraphy is a unique visual art, and and is one of the material basis of China’s traditional cultural heritage. However, time had caused the old calligraphy works to weathering and damages, so it is necessary to utilize advanced technologies to protect those works. One of those technologies is digital imaging, and the obtained images by digital imaging can preserve the visual information of calligraphy works better, furthermore, they can be used in further researches. While the basic works for those researches are to extract the artistic features which include two elements, i.e., form and spirit. However, most of the existing methods only extract the form and ignore the characters’ spirit, especially they are insensitive to the slight variation in complex ink strokes. To solve these problems, this paper proposes an extraction method based on regional guided flter (RGF) with reference images, which is generated by KNN matting and used as the input image for RGF. Since RGF is sensitive to the slight variation of ink, so the detailed information of the inside of strokes can be detected better. Besides, unlike the past works, which filter the whole strokes, RGF filters the inside of strokes and edges in different windows respectively, which results in that the edges are preserved accurately. Results from a deployment of several famous Chinese calligraphy works demonstrate that our method can extract more accurate and complete form and spirit with lower error rate.     

Negative Multinomial Reputation for Self-Organized Networks

As an effective supplement to traditional security solutions, reputation mechanism, which can encourage cooperation among individual entities and minimize the damage mainly resulted from insider attacks, has received much concern by the research community. In this article, a negative multinomial reputation model for self-organized networks is proposed. Compared with binary parameter based binomial reputation model, our model is featured with multiple parameters which can depict objective facts more precisely and accurately. Moreover, free from fixed increment on parameters in binomial model, the increment in our model can be 2 or more, which makes our model flexible and suitable for more practical applications such as networks with sleep mechanisms. Through three metrics of measurement, i.e. convergence time to detecting malicious entities, success rate of malicious entities, and success rate of benign entities, our model shows a better performance in the simulations and excels in these three aspects.