Manufacture of three-layer wood–porcelain stone composite board reinforced with bamboo fiber

The objective of this study was to improve bending strength properties of three-layer wood–porcelain stone composite board. The focus of this study was on the effects of orientations and weight ratios of bamboo fiber in face layer on physical and mechanical properties of the board. Three types of board with different orientation of bamboo fibers in the face layer were manufactured: one in which the fibers were oriented at random orientation (R board), another in which the fibers were oriented at unidirectional orientation (U board), and a third in which the fibers were oriented at cross orientation (C board). The physical and mechanical properties of the boards were evaluated based on the Japanese Industrial Standard for Particleboards. The main results obtained were as follows: Bending strength properties of the board were strongly affected by both orientation and weight ratio of bamboo fibers. Perpendicular specimen of C board has larger bending strength properties than U board and the value become larger with increased weight ratio of bamboo fibers. Internal bond strength value decreased with increasing weight ratio of bamboo fibers. The effect of orientation and weight ratios of bamboo fiber on thickness swelling of the board was not significant.     

火灾后RC及HFRC隧道管片破坏试验研究

为研究火灾后盾构隧道管片的破坏模式,借助火灾试验手段,对钢筋混凝土(RC)及混杂纤维混凝土(HFRC)两种类型的管片在不同工况下的破坏模式进行了研究。根据试验结果,受正弯矩单向加载的钢筋混凝土管片的极限承载力和变形性能均大于混杂纤维混凝土管片。在该工况下,钢筋混凝土管片的破坏模式为弯曲破坏,混杂纤维混凝土管片的破坏模式则为弯曲剪切破坏。而在受负弯矩双向加载的工况下,钢筋混凝土管片为剪切破坏模式,而混杂纤维混凝土管片为受弯破坏模式。由于破坏模式的差别,导致混杂纤维混凝土管片的变形发挥要优于钢筋混凝土管片。基于以上结论,笔者对盾构隧道管片的抗火设计提出了一些相关建议。     

大规模风电接入电网及市场消纳问题分析

目前风电外送与接入是电网企业与风电开发企业矛盾比较集中的焦点问题.我国风电场主要分布在距负荷中心较远的地区,电网结构相对薄弱,电网建设对风电开发存在一定的制约.在我国西北、华北以及东北(尤其是内蒙古东部地区)风电基地集中地区,风电发出的电力无法正常并网,已经成为未来风电发展所面临的最大问题.针对这一难题,以电网运行管理者的视角,从风电侧和电网侧两个方面,对风电并网问题进行了深入研究,找出其中的难点,并作进一步分析.在国外相关实际做法的基础上,对发电侧、负荷侧以及并网风电管理等方面,提出了提高发电机组调峰能力、适当建设快速调节机组、实施峰谷电价等旨在促进我国风电健康有序发展的实用化建议.     

The user model-based summarize and refine approach improves information presentation in spoken dialog systems

A common task for spoken dialog systems (SDS) is to help users select a suitable option (e.g., flight, hotel, and restaurant) from the set of options available. As the number of options increases, the system must have strategies for generating summaries that enable the user to browse the option space efficiently and successfully. In the user-model based summarize and refine approach (UMSR, Demberg and Moore, 2006), options are clustered to maximize utility with respect to a user model, and linguistic devices such as discourse cues and adverbials are used to highlight the trade-offs among the presented items. In a Wizard-of-Oz experiment, we show that the UMSR approach leads to improvements in task success, efficiency, and user satisfaction compared to an approach that clusters the available options to maximize coverage of the domain (Polifroni et al., 2003). In both a laboratory experiment and a web-based experimental paradigm employing the Amazon Mechanical Turk platform, we show that the discourse cues in UMSR summaries help users compare different options and choose between options, even though they do not improve verbatim recall. This effect was observed for both written and spoken stimuli.     

Capturing of transition by the RNG based algebraic turbulence model

This paper concerns the RNG based algebraic turbulence model. This model has characteristics to capture transitional process from laminar to turbulent flow. This is determined by the argument of the Heaviside function, which becomes a threshold for the occurrence of turbulence. It is supposed that proper modeling of this argument will lead to correctly capture transition location. In the present paper, this argument is modeled in such a way that the form of cubic equation for the turbulent kinematic viscosity be maintained. Moreover, the length scale which is required to calculate the turbulent kinematic viscosity is newly proposed, taking into account the freestream pressure gradient. The validation is performed by comparing the calculated results with the empirical expressions as well as the experimental data. This model can simulate the streamwise intermittency effect, by which a sudden increase of skin friction is prevented. Moreover, the transition location can be predicted within reasonable accuracy compared with the experimental data.     

Study on corrosion of welded steel for LBE-cooled fast reactors

Lead-bismuth eutectic (LBE) is a candidate coolant for fast reactors. Its physical, chemical and neutronic properties make it a prospect coolant for the reactors. However, corrosion of structure is the main problem of utilizing LBE as a coolant. Compatibility of welded structure with LBE at high temperature should be considered clearly for feasibility of lead-bismuth-cooled fast reactors. This study was preformed to investigate the mechanical properties and corrosion characteristics of the welded ferritic-martensitic (FM) steel, HCM12A, in LBE at 650 °C for 500 h. The welding methods were TIG welding (137 mm/min; 480 W), YAG laser welding (780 mm/min; 287 W) and electron beam welding (1000 mm/min; 60 kW). The oxygen concentration of test environment was maintained at 7 x 10⁻⁷ wt% by injecting Ar-H2-steam gas mixture. Vickers hardness test and SEM/EDX analysis were conducted on the cross section of welded HCM12A. It was found that oxide layer was larger in the weld zones than base metal (BM). However, outer layer was detached on some areas.     

期刊稿件网络采编系统的建立

《中国冶金》杂志社全面启用的科技期刊稿件采编系统是以Internet为载体，具有作者在线投稿、在线查询、上传校样、专家在线审理稿件、提交审稿意见、上传审改稿、编辑在线加工处理稿件等作用，完全实现了稿件从收稿到发稿的全程数字化管理，同时建立了数据齐全、操作简便的作者、审稿专家和稿件的数据库，改进了传统的操作方法和管理模式，提高了工作效率。杂志社采用该系统还可以进行网刊发布、管理以及期刊征订和发行处理。     

Visual privacy attacks and defenses in deep learning: a survey

The concerns on visual privacy have been increasingly raised along with the dramatic growth in image and video capture and sharing. Meanwhile, with the recent breakthrough in deep learning technologies, visual data can now be easily gathered and processed to infer sensitive information. Therefore, visual privacy in the context of deep learning is now an important and challenging topic. However, there has been no systematic study on this topic to date. In this survey, we discuss algorithms of visual privacy attacks and the corresponding defense mechanisms in deep learning. We analyze the privacy issues in both visual data and visual deep learning systems. We show that deep learning can be used as a powerful privacy attack tool as well as preservation techniques with great potential. We also point out the possible direction and suggestions for future work. By thoroughly investigating the relationship of visual privacy and deep learning, this article sheds insights on incorporating privacy requirements in the deep learning era.

     

基于S3C6410的DMA数据跟踪技术在TD-LTE中的实现

基于TD-LTE系统中数据跟踪技术的研究与DMA获取系统总线的不同模式,设计并分析比较了在S3C6410上通过DMA实现原语跟踪的两种方案.根据TD-LTE无线综合测试仪中的设计要求,选择了中断标志查询模式获取系统总线的方案,实现了TD-LTE系统原语的实时跟踪,满足了系统对CPU资源利用率以及数据传输速度和准确性的要求.