高水差条件下内河沉管隧道健康监测系统研究

以建设中的国内最大内河沉管隧道——南昌红谷隧道为工程依托,针对其高水差、长大管节、地层条件复杂、隧道纵坡变化大等特点,设计了针对该沉管隧道的结构健康监测方案,并构建了一套健康监测评估系统。重点论述了管段接头张开和错位、管段不均匀沉降、剪切键受力的监测方法以及健康评估指标体系的构建过程。该监测系统可实现对隧道多项位移、内力等健康指标数据的实时全自动测取与传输,并可自动进行隧道健康状态评估,给出预警、报警、管理、养护建议。     

对德化传统陶瓷花卉捏塑艺术的发展探讨

优质的德化陶瓷材质与娴熟的塑造技艺,造就陶瓷花卉捏塑艺术发展的新纪元;工艺品市场的巨大需求,促进陶瓷花卉捏塑艺术的繁荣发展;作为一种独立的艺术形式,德化陶瓷捏塑在发展中应提炼其艺术审美价值,从而保持陶瓷花卉捏塑艺术的创新和发展。     

一种基于GPU的大规模地形绘制算法

利用Geometry Clipmap算法的基本思想,对原算法进行简化与改进。在预处理阶段,对地形数据的存储方式进行简化,并采用Clipmap结构进行组织和管理;在绘制阶段,重点针对不同分辨率层次之间的裂缝问题进行分析和处理,提出了一种引入过渡带的方法有效消除了裂缝。实验表明,该方法有效提高渲染速率,并充分发挥GPU的优势,实现了大规模地形数据的实时可视化。     

基于非恒定流模型的山洪沟水面线计算

本文将具有良好激波捕捉能力的Godunov格式离散圣维南方程组建立的一维非恒定流模型用于山洪沟水面线的分析计算。首先通过混合流算例验证了该模型具有良好的模拟间断水面和流态过渡的能力,随后将该非恒定流模型用于刘家舍窠山洪沟、梁家岔山洪沟和红花坪山洪沟的水面线计算。分析认为计算结果合理,模型较好地模拟了陡坡和断面变化剧烈情况下出现的急流和流态过渡等问题。该模型在山洪沟水面线的分析计算领域具有良好的工程应用前景。     

A two level real-time path planning method inspired by cognitive map and predictive optimization in human brain

A biologically inspired two level method is proposed for real-time path planning in a complex and dynamic environment, employable in ground vehicles. This method takes the advantage of both global and local path finding procedures. In the first level, i.e., global level, the planner utilizes a neural network architecture as a sensory-motor map, similar to the cognitive map used by humans, and an optimization algorithm to produce a coarse path. In the second level, i.e., local level, the global path is improved by employing a model-based prediction method with a finite prediction horizon in a way that future information about the environment is involved in the planner's decision making. In the suggested method, the prediction horizon is variable and is adjusted in each step of the planning in agreement with the kinematic features of the closest obstacle in the visual field of the planner. We considered four different path planning tasks in a virtual dynamic environment to evaluate the performance of the proposed method against the human path planning strategy. The results demonstrate the ability of the method to plan a strategy comparable to the driving scenarios chosen by most subjects and to generate a real-time collision-free path in a dynamic environment with obstacles.     

Reliability assessment of principal point estimates for forensic applications

Although quite recent as a forensic research domain, computer vision analysis of scenes is likely to become more and more important in the near future, thanks to its robustness to image alterations at the signal level, such as image compression and filtering. However, the experimental assessment of vision-based forensic algorithms is a particularly critical task, since they cannot be tested on massive amounts of data, and their performance can heavily depend on user skill. In this paper we investigate on the accuracy and reliability of a vision-based, user-supervised method for the estimation of the camera principal point, to be used in cropping and splicing detection. Results of an extensive experimental evaluation show how the estimation accuracy depends on perspective conditions as well as on the selected image features. Such evidence led us to define a novel visual feature, referred to as Minimum Vanishing Angle, which can be used to assess the reliability of the method.     

Homomorphism types and some of their applications in model theory and algebraic linguistics

A strategy of shifting by multiple scanning which can lead to near optimum results for the bandwidth minimization (BM) problem for sparse symmetric matrices is presented. An algorithm is described, and the comparisons of results and timings with other algorithms is given. The optimum results are estimated and further refinements of the algorithms are recommended.     

MDS800-60双吸泵的研制与开发

根据辽源泵业公司现有泵型及技术力量在MD580-60泵的基础上对吸水段和首级叶轮进行设计改造,开发出一种新产品MD580-60双吸泵,以扩大市场竞争力。