环境媒介与具身交互:艺术疗愈空间的热点与趋势

在人们情绪压力不断增大的当今社会,艺术疗愈以其创造性特征和非语言媒介帮助疗愈对象改善心理或身体状态,旨在讨论艺术疗愈空间中的环境媒介与疗愈过程中的具身交互关系、设计实践与价值。借助CiteSpace可视化软件分析近十年来的重要文献,揭示艺术疗愈的研究现状;运用文献计量学方法,探索环境媒介在艺术疗愈空间的应用,定义环境媒介的具身性、主体间性、沉浸性特征及三者间的关联;以具身交互理论为线索,结合设计案例分析疗愈空间中环境媒体的具身性实践与作用方式,以期进一步探索结合新兴技术的环境媒介未来在我国的应用发展。艺术疗愈空间的环境媒介能具身地影响疗愈对象的交互行为与认知,提高疗愈的效率和质量。环境媒介与具身交互能增进疗愈过程中的不同主体间的体验共享,并辅助疗愈对象沉浸地参与或融入艺术疗愈;数字技术的发展不断地丰富环境媒介的形式,提高艺术疗愈的效果。     

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.     

Comparison of bioactive components in GABA tea and green tea produced in Taiwan

The aim of this study is to investigate the bioactive components of GABA (γ-aminobutyric acid) tea as compared with green tea produced in Taiwan. Using in total 56 tea samples (28 green tea and 28 GABA tea), moisture content, Hunter L, a and b values, phenolic compounds, amino acids including GABA, fatty acids and ascorbic acid were determined. The results showed that moisture, total free amino acids, crude fat, Hunter L value, total nitrogen, free fatty acids and reducing sugar did not differ significantly between GABA tea and green tea. However, GABA tea had higher Hunter a and b values, while green tea had higher total catechin and ascorbic acid contents (p < 0.05). Of major catechins, epicatechin and epigallocatechin gallate were found to be lower in GABA tea than in green tea. For free amino acids, GABA, alanine, ammonia, lysine, leucine and isoleucine were found to be significantly higher in GABA tea, while the glutamic acid, aspartic acid, and phenylalanine were higher in green tea (p < 0.05). Theanine, tryptophan, valine, threonine and methionine were not found to be different between the two kinds of tea.     

Dynamic tensile and shear storage moduli of PEG/silica-polymorph composites

The effect of silica polymorphs on the thermomechanical properties of 0, 5, 10, and 20 wt % silica particles-reinforced-based poly(ethylene glycol) (PEG) composites have been studied as a function of temperature using dynamic mechanical analysis (DMA). The silica polymorphs exhibited quartz (Q), cristobalite (C), and amorphous (A) phases, which were obtained by processing natural silica sand. The DMA thermomechanical properties were determined in tensile (E) and shear (G) modes. The maximum storage moduli (E′ and G′) were achieved by samples with 20 wt % silica for all type of fillers. These values increased approximately 12 times for PEG/Q, 10 times for PEG/A, and 11 times for PEG/C composites compared to the pure PEG. Furthermore, the Poisson's ratio values of the composites were filler phase dependent, that is, 0.39–0.47 for PEG/Q, 0.15–0.18 for PEG/A, and somewhat anomalous for PEG/C composites. © 2018 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2019 , 136, 47372.     

多元醇胺对钢铁渣粉溶解特性的影响

为了解决钢铁渣粉溶解性差所引起的活性低的问题,研究了三乙醇胺( TEA)、三异丙醇胺( TIPA)和二乙醇单异丙醇胺( DEIPA)对钢铁渣粉在碱性环境下溶解的影响规律,通过电导率仪、酸度计、电感耦合等离子体原子发射光谱仪( inductively coupled plasma atomic emission spectroscopy,ICP-AES)和八通道微量热仪对钢铁渣粉的溶解特性进行了表征。结果表明：多元醇胺降低了钢铁渣粉液相的pH并提高了液相电导率,主要表现为增加了液相中Fe、Ca、Al元素的质量浓度,其中TEA和DEIPA的影响效果大于TIPA;多元醇胺提高了钢铁渣粉早期的溶解热和最大水化热峰值,进一步证实了多元醇胺对钢铁渣粉具有增溶作用。     

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.

     

混沌精英哈里斯鹰优化算法

针对哈里斯鹰优化(HHO)算法存在的收敛精度低、收敛速度慢、易于陷入局部最优的不足,提出了一种混沌精英哈里斯鹰优化(CEHHO)算法.首先,引入精英等级制度策略,以充分利用优势种群来增强种群多样性以及提升算法收敛速度和精度;其次,利用Tent混沌映射调整算法关键参数;然后,使用一种非线性能量因子调节策略来平衡算法的开发...     

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.     

各向异性加权先验模型MAP投影域降噪

低剂量计算机断层扫描技术（Low-Dose Computed Tomography,LDCT）降低了X射线对人体的辐射,但射线剂量降低造成重建图像中存在严重的伪影和噪声,对临床医学诊断有很大干扰。针对此问题,提出一种改进的各向异性加权先验模型的最大后验（Maximum A Posteriori,MAP）投影域降噪算法。该算法考虑到直觉模糊熵能够有效区分平滑区域和边缘细节区域,将其与传统的各向异性扩散系数相结合,构造了一种新的扩散系数,并采用局部方差实现其自适应调节;最后将该扩散系数融合于基于Huber先验的MAP优化估计算法框架中,实现对投影数据不同区域进行不同强度的降噪处理。该算法分别采用数字骨盆模型、Shepp-Logan头模型和数字胸腔模型三种体模进行验证,并与滤波反投影重建算法（Filter Back Projection,FBP）、惩罚重加权最小二乘法（Penalized Reweighted Least-Squares,PRWLS）、各向异性加权先验正弦图平滑算法进行对比。实验结果表明,利用所提算法重建出的图像中伪影明显减少,同时较好地保持了图像的边缘和细节信息。三种体模的信噪比分别为20.502 0 dB、23.294 8 dB、21.018 4 dB,所需时间分别为49.50 s、49.60 s、8.59 s。     

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。