2017年春季鲍鱼苗种生产情况调研分析

为准确把握2017年鲍鱼生产形势，我们组织开展2017年春季鲍鱼苗种生产情况调研。本次调研采取问卷调查、电话咨询、现场走访及专家会商等方式进行。总体上看，2017年春季鲍鱼苗种生产增量幅度较大，已超过养殖需求,苗价回落明显；今年投苗量增加明显，正常情况下，明年养殖存塘量随之增大，预计明年商品鲍鱼可能面临新一轮的跌价考验

Image Fusion Algorithm Based on Neighbors and cousins information in Nonsubsampled Contourlet Transform Domain

Nonsubsampled contourlet transform (NSCT) provides flexible multiresolution, anisotropy and directional expansion for images. Compared with the foremost contourlet transform, it is shift-invariant and can overcome the pseudo-Gibbs phenomena around singularities. In addition, coefficients of NSCT are dependent on their neighborhood coefficients in the local window and cousin coefficients in directional subbands. In this paper, region energy and cousin correlation are defined to represent the neighbors and cousins information, respectively. Salience measure, as the combination of region energy and cousin correlation, is defined to obtain fused coefficients in the high-frequency NSCT domain. First, source images are decomposed into subimages via NSCT. Secondly, salience measure is computed. Thirdly, salience measure-maximum-based rule and average rule are employed to obtain high-frequency and low-frequency coefficients, respectively. Finally, fused image is reconstructed by inverse NSCT. Experimental results show that the proposed algorithm outperforms wavelet-based fusion algorithms and contourlet transform-based fusion algorithms.supported by Navigation Science Foundation of China (No.05F07001) and National Natural Science Foundation of China (No.60472081

单遍数据读取的GPU上的多片元效果绘制

在GPU上进行多片元效果的绘制,已有的方法往往需要对模型进行多遍的数据读取,以进行片元的有效排序.由于往GPU传输数据的带宽限制,多遍的数据读取严重制约了绘制效率的提高.虽然,随着CUDA的出现,已有方法可将数据完全装入GPU进行多片元效果的绘制,但受存储空间的限制,难以处理大规模的模型.对此,文中提出一种只需要单遍数据读取的绘制方法,即将模型进行凸多面体方式的组织,并依据绘制的需求逐个地将凸多面体传输到GPU中,以实现片元的正确排序.在这过程中,及时地进行同像素片元的色彩混合操作,以大幅降低片元排序的空间需求,由此可使用更多的光照参数来增强绘制效果.实验表明,新方法优化了模型的数据读取,可有效提高绘制速度,即便与基于CUDA的一次性装载数据的方法相比,也能提高速度,且能方便地处理大模型和深度层次大的模型.Rendering of multi-fragment effects can be greatly accelerated on the GPU. However, existing methods always need to read the model data in more than one passes, due to the requirements for depth ordering of fragments and the architecture limitation of the GPU. This has been a bottleneck for increasing the rendering efficiency, because of the limited transmittance bandwidth from CPU to GPU. Though there have been methods proposed to use CUDA with the data loaded once, they cannot process large models due to the limited storage on the GPU. This paper proposes a new method to implement single-pass GPU rendering of multi-fragment effects. It first decomposes the 3D model into a set of convex polyhedrons, and then by the viewpoint determines the order of transmitting the convex polyhedrons one by one to the GPU, to guarantee the correct ordering of fragments. In the process, the new method immediately performs illumination computation and blends the rendering results of the transmitted convex polyhedrons, so that it can greatly reduce the storage requirement. As a result, it can take more shading parameters to promote the rendering effects. Experimental results show that the new method can be faster than existing methods, even compared with the methods using CUDA, and can conveniently handle large models, even those with high depth complexity

Enhancing illumination computation of lightcuts with spatial coherence

Lightcuts是面向多光源场景的高效绘制方法.它渐进地对光源进行聚类组织,并以二叉树进行管理,由此在绘制时可用一些光源聚类的代表光源(统称为 光源割)进行光照计算,以减少需要计算的光源数量.但是,当光源很多并分布复杂时,在二叉树结构中寻找光源割也要花费不少的计算.为此,有些方法提出利用 绘制中的图像连贯性来减少光源割的搜寻计算,并取得了较好的效果.文中提出利用空间聚类来减少光源割的搜寻计算,即先根据位置和法向对场景中的几何位置进 行聚类,为各个类的代表点寻找其光源割,以作为该类其它点搜索各自对应光源割的初始情况.实验表明,文中方法能很好地减少光源树中搜索光源割的计算,提高 Lightcuts的光照计算效率,优于利用图像连贯性的加速方法,加速性能稳定,并且光源越多分布越复杂,加速效果越好.Lightcuts is an efficient rendering algorithm for scenes with many complex lights. In order to approximate lights by representative lights of some clusters (defined as a cut), lightcuts builds a binary light tree to progressively cluster the lights. As a result, the number of lights to be processed is reduced during rendering. However, when dealing with plenty of complex lights, finding cuts in a light tree is still expensive. Therefore some algorithms exploit image coherence to accelerate cuts computation and achieve good performance. This paper proposes an algorithm that exploits spatial coherence to reduce the search cost of cuts. The proposed method clusters geometry positions by their material and normal. For each cluster, the proposed method first calculates the cut of the representative point of the cluster, and then uses the cut as the initial to search for the cuts of other points in this cluster. Experimental results show that the new method can significantly reduce the cost of finding cuts in light tree, enhance illumination computation and outperform other methods using image coherence, with stable effect on acceleration. In general, with more lights in a more complex distribution, the new method can achieve more acceleration

基于空间聚类增强lightcuts的光照计算

Lightcuts是面向多光源场景的高效绘制方法.它渐进地对光源进行聚类组织,并以二叉树进行管理,由此在绘制时可用一些光源聚类的代表光源(统称为‘光源割’)进行光照计算,以减少需要计算的光源数量.但是,当光源很多并分布复杂时,在二叉树结构中寻找光源割也要花费不少的计算.为此,有些方法提出利用绘制中的图像连贯性来减少光源割的搜寻计算,并取得了较好的效果.本文提出利用空间聚类来减少光源割的搜寻计算,即先根据位置和法向对场景中的几何位置进行聚类,各个类的代表点寻找其光源割,作为该类其它点搜索各自对应光源割的初始情况.实验表明,本文方法能很好地减少光源树中搜索光源割的计算,提高lightcuts的光照计算效率,优于利用图像连贯性的加速方法,加速性能稳定,并且光源越多分布越复杂,加速效果越好。中国计算机学会 中国图象图形学学会 中国系统仿真学

Design and implementation of a new type of temperature difference detection system without power supply

温度是生产、生活等方面中的一个重要参数,温差监测在生产、生活中有着重要作用。本文针对温差监测的需求,设计出一种无需外接电源的自供能温差监测系统,该系统以温差发电的方式利用欲监测环境中的温差,将温差的高低转换为电压的幅值,以不同颜色的LED灯颜色和亮度等信息进行监测。最后通过实验验证了该系统设计的可行性。Temperature is an important parameter in the field of production and life. The detection of temperature difference plays an important role in the production and life. In this paper, aiming at the demand of temperature difference detection, we designed a kind of temperature difference detection system which can operation without external power supply. Using the environment temperature difference by the characteristics of thermoelectric power generation, the system converts the temperature difference to the amplitude of voltage, and reflect the temperature difference by different color LED light color and brightness. At last, by experimental tests show the feasibility of the system design.国家自然科学基金项目(61640016)； 广西高校科研项目(YB2014102