ECISER: Efficient Clip-art Image SEgmentation by Re-rasterization

Clip-art image segmentation is widely used as an essential step to solve many vision problems such as colorization and vectorization. Many of these applications not only demand accurate segmentation results, but also have little tolerance for time cost, which leads to the main challenge of this kind of segmentation. However, most existing segmentation techniques are found not sufficient for this purpose due to either their high computation cost or low accuracy. To address such issues, we propose a novel segmentation approach, ECISER, which is well-suited in this context. The basic idea of ECISER is to take advantage of the particular nature of cartoon images and connect image segmentation with aliased rasterization. Based on such relationship, a clip-art image can be quickly segmented into regions by re-rasterization of the original image and several other computationally efficient techniques developed in this paper. Experimental results show that our method achieves dramatic computational speedups over the current state-of-the-art approaches, while preserving almost the same quality of results.     

高密度聚乙烯/铅硼复合材料屏蔽性能和力学性能研究

研究了高密度聚乙烯/铅硼复合材料的屏蔽性能和力学性能，通过屏蔽仿真比较了密度及碳化硼（B4C）含量对屏蔽性能的影响，通过试验比较了B4C含量对屏蔽性能、弯曲强度及冲击强度的影响。仿真结果表明,随聚乙烯/铅硼复合材料密度升高，快中子屏蔽性能下降，热中子屏蔽性能和γ屏蔽性能提高；保持聚乙烯/铅硼复合材料密度不变，随B4C含量的提高，中子屏蔽性能提高而γ屏蔽性能下降;实验数据表明,随B4C含量的升高，高密度聚乙烯/铅硼材料的快中子屏蔽性能、热中子屏蔽性能升高，γ屏蔽系数下降，冲击强度和弯曲强度下降明显，屏蔽性能测试结果和仿真结果规律性相符；综合仿真结果和实验数据表明，含B4C 2 %左右的高密度聚乙烯/铅硼复合材料同时具有较好的屏蔽性能和力学性能。     

某高校既有建筑室内人员相关VOCs目标污染物的实测分析

为研究高校既有建筑室内人群散发对室内VOCs的影响，对高校不同人群样本的教室及会议室两类典型人群密集房间，共82个人群样本对象进行了VOCs采样分析，得到不同实际场景下的人员相关的VOCs浓度水平，并对其潜在的影响因素进行分析。结果表明，共确认了29种与室内人员相关的高检出率且较高浓度值的物质，包括芳香族化合物9种，烷烯烃类9种，酮类和醛类8种，醇酯类以及卤化物3种，并得到主要VOCs物质的浓度水平和I/O比。对影响因素的统计分析表明，室内人员密度、季节和房间类型对不同VOCs物质存在显著性影响，其中季节性因素对目标VOCs污染物影响最为广泛，其次是房间类型与室内人员密度。该研究可为进一步了解人员密集室内VOCs污染现状及控制策略提供一定的科学参考。     

An Interval Fuzzy Multiobjective Watershed Management Model for the Lake Qionghai Watershed, China

Integrated watershed management is required to ensure the reasonable use of resources and reconcile interactions among natural and human systems. In the present study, an interval fuzzy multiobjective programming (IFMOP) method was used to solve an integrated watershed management problem. Based on system analysis, an IFMOP model suitable for a lake watershed system {IFMOPLWS} was developed and applied to the Lake Qionghai watershed in China. Scenario analysis and an interactive approach were used in the solution process. In this manner, various system components were incorporated into one framework for holistic consideration and optimization. Integrality and uncertainty, as well as the multiobjective and dynamic characteristics of the watershed system, were well addressed. Using two scenarios, two planning schemes were generated. Agriculture, tourism, macroeconomics, cropland use, water supply, forest coverage, soil erosion, and water pollution were fully interpreted and compared to identify a preferable planning alternative for local agencies. This study showed that the IFMOPLWS is a powerful tool for integrated watershed management planning and can provide a solid base for sustainable watershed management.     

Machine-learning paradigms for selecting ecologically significant input variables

Harmful algal blooms, which are considered a serious environmental problem nowadays, occur in coastal waters in many parts of the world. They cause acute ecological damage and ensuing economic losses, due to fish kills and shellfish poisoning as well as public health threats posed by toxic blooms. Recently, data-driven models including machine-learning (ML) techniques have been employed to mimic dynamics of algal blooms. One of the most important steps in the application of a ML technique is the selection of significant model input variables. In the present paper, we use two extensively used ML techniques, artificial neural networks (ANN) and genetic programming (GP) for selecting the significant input variables. The efficacy of these techniques is first demonstrated on a test problem with known dependence and then they are applied to a real-world case study of water quality data from Tolo Harbour, Hong Kong. These ML techniques overcome some of the limitations of the currently used techniques for input variable selection, a review of which is also presented. The interpretation of the weights of the trained ANN and the GP evolved equations demonstrate their ability to identify the ecologically significant variables precisely. The significant variables suggested by the ML techniques also indicate chlorophyll-a (Chl-a) itself to be the most significant input in predicting the algal blooms, suggesting an auto-regressive nature or persistence in the algal bloom dynamics, which may be related to the long flushing time in the semi-enclosed coastal waters. The study also confirms the previous understanding that the algal blooms in coastal waters of Hong Kong often occur with a life cycle of the order of 1–2 weeks.     

基于MODFLOW模型滹沱河傍河地下水源地保护区划分

科学合理地划分地下饮用水源地保护区,能够以最精准的范围和较低的经济成本来预防水源受到污染。基于MODFLOW模型对石家庄市滹沱河新调整的地下水源地的地下水流场进行模拟计算,采用MODPATH计算了2种不同工况下示踪粒子反向运移100和1 000 d的运移轨迹。结果表明,2种工况下示踪粒子在100 d末的平均运移距离分别为0.54和0.49 km;示踪粒子在1 000 d末的平均运移距离分别为6.1和5.6 km。此外,还分析了入渗场使用条件下地下水流场的变化。分析2种工况的计算结果表明,水源地的抽水井概化成井群时,示踪粒子反向运移的轨迹几何形状更加规则,且迁移距离相对较短。同时,考虑到入渗场补水情况,故将整个入渗场范围纳入一级保护区。     

基于环探头测量含运动导体的瞬态电流波形

电流除了用罗果夫斯基线圈进行测量外,还可通过环探头测量电流产生的磁场来计算得到。直线电机除了位置固定的母线导体外,还有沿母线运动的电枢;母线回路注入脉冲电流后,电枢会被加速而运动。简化母线和电枢为线电流模型,在长线模型基础上,通过环探头测量得到的磁场计算出近似电流波形。因为探头所测磁场主要由其附近电流所贡献,所以合理配置电枢起始位置与探头位置后,电枢运动对电流测量的影响很小。在瞬态电流上升沿、平台区和下降沿的不同阶段,利用实验折算的系数,可得到时域瞬态电流波形,其测量结果与用罗果夫斯基线圈测量波形一致。     

PVP-assisted Sn-Ti microspheres for the efficient B–V oxidation of cyclohexanone

Journal of Porous Materials - New Sn-Ti microspheres were first successfully synthesized by a PVP-assisted sol-gel method in this paper, and their performance in the B–V oxidation of...     

膜生物反应器同步脱氮除磷研究进展

综述了膜生物反应器的同步脱氮除磷工艺,介绍了影响膜生物反应器同步脱氮除磷效率的几个因素,探讨了同步脱氮除磷工艺中同时脱氮除磷的机理,并在此基础上提出了研究方向和应用前景.     

人工湿地净化富营养化河水试验研究(二)——基质层及流态对氮素污染物净化效果的影响

通过中试试验研究了基质层及流态对人工湿地净化富营养化河水中氮素污染物的影响情况,结果表明：砾石基质层厚度从80cm增加到120cm对湿地池净化氮素污染物的效果没有明显影响;将上层砾石替换为沸石后,湿地池对NH3-N的净化效果明显提高,说明不同的基质材料对NH4＋具有良好的选择性吸附作用,而将上层砾石替换为炉渣后湿地池对氮素污染物的净化效果几乎没有变化;在4种湿地流态中,复合流态（垂直流＋潜流）湿地池对TN、NH3-N、NO3-N的去除率均为最高,且与潜流-垂直流相前后次序没有显著相关性;潜流、垂直流湿地池对氮素污染物的去除率介于复合流、表面流之间;表面流最低.