Intelligence service binding architecture for interoperability between home network devices

Existing home devices in home network provides only independent services limited on a homogeneous protocol and/or do not fully support an intelligent service provided by cooperating among heterogeneous protocol devices. This paper proposes an intelligent and integrated service binding architecture which allow the users to figure out the status of devices and to cooperate among home network devices regardless of supported protocols or operational characteristics.     

燃气流量低频脉动下的火焰结构特征

针对一种可降低天然气高温燃烧过程中NOx生成量的脉动供燃料燃烧技术,研究了一个采用燃气流量脉动燃烧方式的射流扩散火焰。采用纹影和直接摄像手段观察了在燃气流量低频率(10Hz以下)脉动工况下的火焰特征及其变化,分析了火焰长度脉动特征和火焰内部结构的周期发展过程。研究发现:火焰内部结构的周期发展过程包括高速(波峰流量)燃气脉冲冲出、增长、燃气惯性冲出、回吸、低速(波谷流量)和高速燃气脉冲的分离、低速脉冲的增长等阶段。其中低速和高速燃气脉冲的分离是单火焰燃烧不稳定的原因。     

基于根移动方法的LQR控制器设计

阐述一种LQR控制器设计的新方法。根据哈密尔顿系统理论,深入研究了系统特征方程的闭环极点和加权矩阵的关系,给出了希望加权矩阵的确定方法。通过Matlab仿真实验,证明了根据极点的移动范围来确定LQR控制器的方法是可行的。     

Interleukin-33 stimulates formation of functional osteoclasts from human CD14+ monocytes

Interleukin (IL)-33 is a recently described pro-inflammatory cytokine. Here we demonstrate IL-33 as a regulator of functional osteoclasts (OCs) from human CD14⁺ monocytes. IL-33 stimulates formation of tartrate-resistant acid phosphatase (TRAP)⁺ multinuclear OCs from monocytes. This action was suppressed by anti-ST2 antibody, suggesting that IL-33 acts through its receptor ST2, but not by the receptor activator of NF-κB ligand (RANKL) decoy, osteoprotegerin, or anti-RANKL antibody. IL-33 stimulated activating phosphorylations of signaling molecules in monocytes that are critical for OC development. These included Syk, phospholipase Cγ2, Gab2, MAP kinases, TAK-1, and NF-κB. IL-33 also enhanced expression of OC differentiation factors including TNF-α receptor-associated factor 6 (TRAF6), nuclear factor of activated T cells cytoplasmic 1, c-Fos, c-Src, cathepsin K, and calcitonin receptor. IL-33 eventually induced bone resorption. This study suggests that the osteoclastogenic property of IL-33 is mediated through TRAF6 as well as the immunoreceptor tyrosine-based activation motif-dependent Syk/PLCγ pathway in human CD14⁺ monocytes.     

有机硫对维多利亚褐煤液化的催化作用之穆斯堡尔研究

我们以Morwell和Coolungoolun两种维多利亚褐煤进行实验,对铁和锡在煤的液化中的催化作用进行了比较,发现锡对低硫的Morwell煤较为有效,而铁则更适合于高硫的Coolungoolun煤。对液化余渣的穆斯堡尔分析的结果,使我们可以用低硫煤中元素态锡的形成以及在高硫煤中磁黄铁矿（Fe_(0.92)S）的形成来对观察到的现象作出解释。硫的损耗数据表明,磁黄铁矿的存在使得煤中的硫转化为气相的量增加了。     

多不饱和脂肪酸保健八宝粥的研究

多不饱和脂肪酸是人体必需的脂肪酸，对人体有保健功能，本实验利用富含多不饱和脂肪酸的黑加仑油添加到八宝粥中，同时去除异味，防止氧化，制成一种具有保健功能的八宝粥。     

模拟结果为什么比实际更暖:简化气候模型结果（英文）

设计了一个非专业人士能够使用、最简化的气候敏感模型,用来研究人类活动所导致的全球变暖的幅度问题.在1990年的第一次IPCC评估报告中,IPCC对其报告中预测的未来全球变暖幅度很有信心,但是随后的观测结果显示全球的变暖幅度只有预测的一半.而自2001年起,全球变暖出现停滞,但是仅仅考虑到二氧化碳浓度的增加,很少有模型能够模拟出这一变化.在已出版的IPCC第五次评估报告的草稿中,IPCC大幅度削减了近期变暖的幅度,并以专家评估代替了模型预测.但是报告中关于未来气候长期变化的预测仍被保留.如果把IPCC模型的总反馈从1.9 W m–2 K–1调整到1.5 W m–2 K–1,气候敏感模型中模拟的温度将从3.2 K降至2.2 K.同时由于反馈很可能是净负反馈,更合适的估计应该是1.0 K.1.0 K是一个能够实现的增幅,21世纪的实际变暖将会小于1 K.即使燃烧所有可开采的化石燃料也不会使全球变暖的幅度超过2.2 K,这一增加幅度也将趋于平稳.本文认为解决IPCC第四、五次报告中评估方法的差异非常关键.一旦这些差异得到解决,人类活动导致的全球变暖在22世纪以及几个世纪以后的平稳态将有可能不会超过IPCC当前模型预测的1/3~1/2.     

A recovery method using recently updated record information in shared-nothing spatial database cluster

A shared-nothing spatial database cluster is system that provides continuous service even if some system failure happens in any node. So,an efficient recovery of system failure is very important. Generally,the existing method recovers the failed node by using both cluster log and local log. This method,however,cause several problems that increase communication cost and size of cluster log. This paper proposes novel recovery method using recently updated record information in shared-nothing spatial database cluster. The proposed technique utilizes update information of records and pointers of actual data. This makes a reduction of log size and communication cost. Consequently,this reduces reccvery time of failed node due to less processing of update operations.     

基于降维的堆积降噪自动编码机的表情识别方法

堆积降噪自动编码机是一种典型的深度学习模型,它能够刻画数据丰富的内在信息,具有较强的特征学习能力。基于主成分分析（principal component analysis,PCA）技术和堆积降噪自动编码机（stacked denoising autoen-coders,SDAE）模型,提出一种新的表情识别算法PCA＋SDAE。该算法对人脸图片进行裁剪及归一化等预处理,采用主成分分析技术对人脸特征进行线性降维,再利用堆积降噪自动编码机逐层进行特征学习并同时实现对人脸表情数据的非线性降维,可以得到更好的、维度更低的表情特征,并据此进行表情分类。对PCA＋SDAE算法的仿真测试实验结果表明,其综合性能比其他的基于深度学习模型的表情识别方法更好,同时与传统的非深度学习表情识别方法相比,它具有更高的表情识别正确率。