Structure Aware Visual Cryptography

Visual cryptography is an encryption technique that hides a secret image by distributing it between some shared images made up of seemingly random black‐and‐white pixels. Extended visual cryptography (EVC) goes further in that the shared images instead represent meaningful binary pictures. The original approach to EVC suffered from low contrast, so later papers considered how to improve the visual quality of the results by enhancing contrast of the shared images. This work further improves the appearance of the shared images by preserving edge structures within them using a framework of dithering followed by a detail recovery operation. We are also careful to suppress noise in smooth areas.     

Polyline‐sourced Geodesic Voronoi Diagrams on Triangle Meshes

This paper studies the Voronoi diagrams on 2‐manifold meshes based on geodesic metric (a.k.a. geodesic Voronoi diagrams or GVDs), which have polyline generators. We show that our general setting leads to situations more complicated than conventional 2D Euclidean Voronoi diagrams as well as point‐source based GVDs, since a typical bisector contains line segments, hyperbolic segments and parabolic segments. To tackle this challenge, we introduce a new concept, called local Voronoi diagram (LVD), which is a combination of additively weighted Voronoi diagram and line‐segment Voronoi diagram on a mesh triangle. We show that when restricting on a single mesh triangle, the GVD is a subset of the LVD and only two types of mesh triangles can contain GVD edges. Based on these results, we propose an efficient algorithm for constructing the GVD with polyline generators. Our algorithm runs in O(nNlogN) time and takes O(nN) space on an n‐face mesh with m generators, where N = max{m, n}. Computational results on real‐world models demonstrate the efficiency of our algorithm.     

Adaptive multi‐scale analysis for point‐based surface editing

This paper presents a tool that enables the direct editing of surface features in large point‐clouds or meshes. This is made possible by a novel multi‐scale analysis of unstructured point‐clouds that automatically extracts the number of relevant features together with their respective scale all over the surface. Then, combining this ingredient with an adequate multi‐scale decomposition allows us to directly enhance or reduce each feature in an independent manner. Our feature extraction is based on the analysis of the scale‐variations of locally fitted surface primitives combined with unsupervised learning techniques. Our tool may be applied either globally or locally, and millions of points are handled in real‐time. The resulting system enables users to accurately edit complex geometries with minimal interaction.     

IISPH‐FLIP for incompressible fluids

We propose to use Implicit Incompressible Smoothed Particle Hydrodynamics (IISPH) for pressure projection and boundary handling in Fluid‐Implicit‐Particle (FLIP) solvers for the simulation of incompressible fluids. This novel combination addresses two issues of existing SPH and FLIP solvers, namely mass preservation in FLIP and efficiency and memory consumption in SPH. First, the SPH component enables the simulation of incompressible fluids with perfect mass preservation. Second, the FLIP component efficiently enriches the SPH component with detail that is comparable to a standard SPH simulation with the same number of particles, while improving the performance by a factor of 7 and significantly reducing the memory consumption. We demonstrate that the proposed IISPH‐FLIP solver can simulate incompressible fluids with a quantifiable, imperceptible density deviation below 0.1%. We show large‐scale scenarios with up to 160 million particles that have been processed on a single desktop PC using only 15GB of memory. One‐ and two‐way coupled solids are illustrated.     

Automatic generation of tourist brochures

We present a novel framework for the automatic generation of tourist brochures that include routing instructions and additional information presented in the form of so‐called detail lenses. The first contribution of this paper is the automatic creation of layouts for the brochures. Our approach is based on the minimization of an energy function that combines multiple goals: positioning of the lenses as close as possible to the corresponding region shown in an overview map, keeping the number of lenses low, and an efficient numbering of the lenses. The second contribution is a route‐aware simplification of the graph of streets used for traveling between the points of interest (POIs). This is done by reducing the graph consisting of all shortest paths through the minimization of an energy function. The output is a subset of street segments that enable traveling between all the POIs without considerable detours, while at the same time guaranteeing a clutter‐free visualization.     

某抽水蓄能电站下库进出水口水沙运动特性试验研究

利用河工模型对某抽水蓄能电站下库区进行了特征洪水过程及电站运行的联合模拟试验。试验表明在输沙槽与拦沙潜堰共同作用下,电站进出水口的含沙量得到有效控制。在来水含沙量低于3kg/m3时,进出水口含沙量都满足电站运行要求,但是在含沙量较高的洪水期,底部浑水会逆行至电站进出水口附近,导致过机含沙量较高,因此提出了增设非封闭式拦沙潜坝的修改方案。修改方案改善了进出水口前的水流结构,起到了良好的拦沙截淤作用,进出水口前含沙量及泥沙淤积大幅减少,蓄能期过机含沙量降低13%~22%。在含沙量较大的洪水期,电站不宜抽水运用,但适时采用发电运行有助于减轻下库进出水口前的泥沙淤积。     

云南蒋家沟黏性泥石流输沙的涨落特征

间歇性阵流是山区小流域发生的黏性泥石流活动的基本形式,其输沙特性表现出一定的间歇性和涨落特性,其涨落可达均值的2~4个数量级。利用Hurst指数分析了蒋家沟近50年的数千阵泥石流观测资料,发现间歇性阵流的流量、径流量、输沙量序列的Hurst指数均大于0.5,说明序列具有一定程度的长程关联性。同时,对比阵流序列与洪峰序列,发现泥石流阵流的长程关联性强于洪峰序列。另一方面,输沙量的累积百分比均满足统一的指数分布形式:P(S)=CS~(-μ)exp(-S/S_c),其中μ越大意味着序列中输沙量较小的阵次越多;S_c表示的是阵流输沙的涨落情况,即S_c越大,阵流输沙的涨落越大。     

YS-842催化剂在Hypol工艺PP中试装置上的应用

将Ziegler-Natta高效载体催化剂YS—842在Hypol工艺聚丙烯(PP)中试装置上进行应用考核，考察了该催化剂的适应性及共聚合性能。试验表明，YS—842催化剂活性高(达1．2Mg／g)、寿命长、氢调敏感性好：用YS—842催化剂生产的聚合物流动性好，粒径分布窄，细粉少，平均粒径为640μm；等规指数大于98．5％，堆密度大于0．45g／mL；试生产的F401、J340，其机械性能与使用进口催化剂生产的产品相当。     

水煤浆黏度的几种影响因素分析

研究了矿物质、粒度分布和搅拌强度对水煤浆黏度的影响.结果表明,实验使用的3种矿物质——高岭土、氧化铝和碳酸钙在降低水煤浆的黏度方面效果都比较明显,其中高岭土最显著,可以使黄陵水煤浆的黏度降低59.5%左右.适当的粒度级能有效改善浆体黏度,剪切率为116.5s-1时,枣庄煤级配制备的水煤浆的黏度值在820mPa·s~900mPa·s之间,而神准混煤级配制备的煤浆黏度值更低,处于500mPa·s~670mPa·s之间.同时搅拌强度的增加在一定范围内可以有效降低煤浆的黏度.     

The Moisture Distribution of High Moisture Content Rough Rice During Harvesting, Storage, and Drying

The kernel moisture content (MC) distribution of five varieties of double season rice was tested during the process of harvesting, drying, and tempering. Significant kernel MC variance was found to exist within the panicle. Binodal kernel MC distribution frequency was found at harvest. The MC distribution of five varieties during harvesting and drying showed similar trend of uniformity. To investigate the mechanism of moisture transport among rice kernels under low temperature, the kernel MC distribution of rice planted in Northeastern China was also investigated after stacked for over one month under the temperature of -20°C. The moisture exchange among rice kernels was found greatly influenced by environmental factors.