林分平均高度卫星遥感新进展

林分平均高度是生态系统模型重要的输入参数之一,与生物量估算与碳循环研究高度相关。通过系统回顾林分平均高度研究的发展历史和最新进展,总结了不同传感器林分平均高度(SAR树高与LiDAR冠层高度)研究的主要模型和方法,通过单一传感器技术进行林分平均高度研究的内在特征的不同,分析了多传感器的区域林分平均高度联合反演方法的优劣性,并从科学发展趋势和社会需求出发,认识目前存在的主要问题与难点及未来面临的挑战和机遇,为今后更好地进行森林垂直结构和全球碳循环研究提供思路和借鉴。     

新一代意大利建筑师解读兼评阿克雅建筑师事务所的实践

今天,活跃在国际建筑舞台上的建筑师是 50来岁的一代人,与现代主义建筑大师们相比较,这一代建筑师具有更为特殊的位置。因为他们知道如何糅合不同的建筑创作模式,创造出体现设计者独立个性的做法,善于处理历史文化与当前现实的关系,适宜的合作规模和在建筑作品中巧妙地不事张扬。可是,意大利50来岁的建筑师却不知道处理这样一种恰如其分的平衡,例如如何体现设计者建筑语言的肯定性、在合作过程中如何认识自身的位置,以及面对当今复杂的施工要求如何保证建筑作品在实施过程中不失去个性,正是因为这些问题的处理不当,致使在国际建筑舞台上缺少他们的身影。今天,可以肯定的倒是30-40来岁的意大利建筑师,阿克雅建筑师事务所就是其中的一员。他们能够娴熟地运用国际流行的建筑语言,并且不局限在某种作者定式和个人魅力,致力于把纯粹的学术研究与建筑实践结合在一起。这一代意大利建筑师表现出来的特点是把每一次设计作为一次积极展示他们个人特点的机会,表现出强烈的希望设计作品付诸实施的愿望,以及作品中展现出扎实的结构专业能力。     

Breakage and shear behaviour of intermittent rock joints

The breakage and shear behaviour of intermittent rock joints have been investigated in a series of direct shear tests with a new shear device, specifically designed for this purpose. The tests have been performed on specimens of rock-like material or hard rock, respectively, incorporating idealized non-persistent joints, made up of a number of short cracks in an en-échelon arrangement along the central shear axis.The shear behaviour of such a joint constellation has been found to be composed of different phases. The first phase of shearing is that of the actual rupture, initiated by the formation of wing cracks, starting from the existing cracks and growing into the material bridges, and concluded by the generation of additional new fractures connecting the initial cracks in the zone between the wing cracks. The second phase of shearing is characterized by friction processes and volume increase in the then continuous shear zone. Finally, the third phase of shearing, reached after large shear displacements, is determined by sliding processes inside the strongly fractured shear zone.In a large number of shear tests the geometrical parameters of the discontinuous joints as well as the loading conditions have been found to influence the activated shear resistance in each phase of shearing to a noticeably different extent. The orientation of the initial cracks and the normal stress, however, have been identified as the most influential parameters. Depending on the test conditions, an initially discontinuous rock joint can activate the largest shear resistance not just before rupture but in one of the two subsequent phases of shearing as well.The mechanisms which govern the different shear phases could be identified as (1) tensile rupturing, (2) rolling and sliding friction of dilatant joint zones and (3) sliding within the joint filling composed of brecciated material.     

基于Google Earth的建筑物三维建模

利用Google Earth可以进行三维地形浏览,但对于建筑物大部分地区只能看到顶视图,虽然在国外某些地区可看到三维建筑模型,但只建立了"火柴盒"式的简单模型;建筑草图大师Sketch Up为我们提供了一款构建三维建筑模型的软件,通过上传三维模型到Google服务器,就可以弥补Google Earth在三维表达方面的缺陷,使Google Earth软件功能更加完善.     

On the issue of limiting nutrient and predictions of cyanobacteria in aquatic systems

This study aims at bridging the gap between freshwater and marine eutrophication studies by presenting (1) a cross-system analysis of the relationship between chlorophyll and the total nitrogen (TN) to total phosphorus (TP) ratio (2) a general model to predict concentrations of cyanobacteria from data on TP, the TN/TP ratio, salinity and temperature, and (3) a general trophic level classification for aquatic systems based on chlorophyll classes (for oligo-, meso-, eu- and hypertrophic systems). The data compiled in this study concerns more than 500 lakes and coastal areas covering a very wide domain in terms of nutrient concentrations and salinity. There was no simple relationship between the TN/TP ratio and empirical chlorophyll concentrations or concentrations of cyanobacteria. Variations in TP rather than TN generally seem to be more important to predict variations among systems in chlorophyll-a and cyanobacteria. Different "bioavailable" forms of the nutrients (DIN, DIP, phosphate, nitrate, etc.) have been shown to have very high coefficients of variation (CV), which means that many samples are needed to obtain reliable empirical data which are necessary in models aiming for high predictive power and practical usefulness.     

Scheduling of deconstruction projects under resource constraints

In many countries a large part of the building stock will have to be maintained, renovated, rehabilitated or even removed in the next few decades. Although profitability will be one of the major requirements to be met when these works are carried out, there will be more and more emphasis on the environmental requirements to be respected. To make the modernization of the building stock more efficient, dismantling with the aim of producing high quality recycling materials at reasonable costs is a promising approach. This paper presents an integrated approach to deconstruction site management that focuses on both economic and environmental goals. As a first step, material flow management aims at the closed-loop recycling of various construction materials. In a second step, resource constrained project planning models are used to evaluate strategies for optimized deconstruction site management. The approach offers high flexibility and can be adapted readily to different conditions. Results show that time and cost for deconstruction can be reduced by more than 50%, together with recycling quotas of more than 90%. Even when resources are strictly limited or when strong budget and time restrictions have to be respected, tremendous improvements in deconstruction site management can be achieved.     

Dance performance evaluation using hidden Markov models

We present in this paper a hidden Markov model‐based system for real‐time gesture recognition and performance evaluation. The system decodes performed gestures and outputs at the end of a recognized gesture, a likelihood value that is transformed into a score. This score is used to evaluate a performance comparing to a reference one. For the learning procedure, a set of relational features has been extracted from high‐precision motion capture system and used to train hidden Markov models. At runtime, a low‐cost sensor (Microsoft Kinect) is used to capture a learner's movements. An intermediate step of model adaptation was hence requested to allow recognizing gestures captured by this low‐cost sensor. We present one application of this gesture evaluation system in the context of traditional dance basics learning. The estimation of the log‐likelihood allows giving a feedback to the learner as a score related to his performance. Copyright © 2016 John Wiley & Sons, Ltd.     

Microwave drying of a low-rank sub-bituminous coal

The moisture contents of coals are often too high and need to be reduced before further processing. In this study, the application of microwave radiation as an alternative energy source for the drying of a sub-bituminous coal was investigated. Firstly, the permittivities of the coal were evaluated as a function of temperature and frequency. Secondly, the drying kinetics were studied in a 2.45 GHz microwave system and the effects of incident microwave power, sample mass and initial moisture contents were determined. The results demonstrated that microwave drying had several advantages over conventional drying such as increased drying rates and lower final moisture contents. In some tests, magnetite was added as a susceptor to increase the drying rates. Thirdly, the drying data were fitted to ten exponential decay models, and although reasonable agreement was observed with all the models, the best fit was obtained with the Midilli–Kucuk model. Finally, the effective diffusion coefficients of moisture and also the activation energy of the diffusion process were estimated and used to further elucidate the mechanism of microwave drying.     

平行皮肤:基于视觉的皮肤病分析框架

随着计算机与人工智能的快速发展,基于图像感知的皮肤病分析方法取得一些成果.然而,以深度学习为主的计算机辅助分析方法依赖于领域专家标注的医学大数据,诊断结果缺乏医学可解释性.为此,文中提出基于视觉的皮肤病分析统一框架——平行皮肤.启发于ACP方法与平行医学图像分析框架,通过构建人工皮肤图像系统实现数据选择与生成,通过预测学习的计算实验完成诊断分析模型构建与评估,并利用描述学习与指示学习融合专家知识,引导人工图像系统数据生成与选择,从而实现闭环诊断分析模型优化.     

Topics in the Theory of Random Noise. Vol. 1. General Theory of Random Processes. Non-Linear Transformations of Signals and Noise

Residuals from fit are often examined in regression analysis. A test suggested by Ellenberg [5] and Prescott [7] for the largest residual being an outlier is implemented through table development. Tables of critical valltes for tests at levels (α ≤ 0.10, 00.5, and 0.01 are included.