Efficient edit propagation using hierarchical data structure

This paper presents a novel unified hierarchical structure for scalable edit propagation. Our method is based on the key observation that in edit propagation, appearance varies very smoothly in those regions where the appearance is different from the user-specified pixels. Uniformly sampling in these regions leads to redundant computation. We propose to use a quadtree-based adaptive subdivision method such that more samples are selected in similar regions and less in those that are different from the user-specified regions. As a result, both the computation and the memory requirement are significantly reduced. In edit propagation, an edge-preserving propagation function is first built, and the full solution for all the pixels can be computed by interpolating from the solution obtained from the adaptively subdivided domain. Furthermore, our approach can be easily extended to accelerate video edit propagation using an adaptive octree structure. In order to improve user interaction, we introduce several new Gaussian Mixture Model (GMM) brushes to find pixels that are similar to the user-specified regions. Compared with previous methods, our approach requires significantly less time and memory, while achieving visually same results. Experimental results demonstrate the efficiency and effectiveness of our approach on high-resolution photographs and videos.     

Computational investigation of interactions between human H2 receptor and its agonists

Type 2 histamine receptor (H(2)R) is widely distributed in the body. Its main function is modulating the secretion of gastric acid. Most gastric acid-related diseases are closely associated with it. In this study, a combination of pharmacophore modeling, homology modeling, molecular docking and molecular dynamics methods were performed on human H(2)R and its agonists to investigate interaction details between them. At first, a pharmacophore model of H(2)R agonists was developed, which was then validated by QSAR and database searching. Afterwards, a model of the H(2)R was built utilizing homology modeling method. Then, a reference agonist was docked into the receptor model by induced fit docking. The 'induced' model can dramatically improve the recovery ratio from 46.8% to 69.5% among top 10% of the ranked database in the simulated virtual screening. The pharmocophore model and the receptor model matched very well each other, which provided valuable information for future studies. Asp98, Asp186 and Tyr190 played key roles in the binding of H(2)R agonists, and direct interactions were observed between the three residues and agonists. Residue Tyr250 could also form a hydrogen bond with H(2)R agonists. These findings would be very useful for the discovery of novel and potent H(2)R agonists.     

Coordination control of greenhouse environmental factors

Optimal control of greenhouse climate is one of the key techniques in digital agriculture. Greenhouse climate, a nonlinear and uncertain system, consists of several major environmental factors such as temperature, humidity, light intensity, and CO₂ concentration. Due to the complex coupled correlations, it is a challenge to achieve coordination control of greenhouse environmental factors. This paper proposes a model-free coordination control approach for greenhouse environmental factors based on Q-learning. Coordination control policy is found through systematic interaction with the dynamic environment to achieve optimal control for greenhouse climate with the control cost constraints. In order to decrease systematic trial-and-error risk and reduce the computational complexity in Q-learning algorithm, case-based reasoning (CBR) is seamlessly incorporated into the Q-learning process. The experimental results demonstrate that this approach is practical, highly effective and efficient.     

TempDB:时态数据管理系统

为了适应时态数据库发展需求,针对目前时态数据库技术实现则相对滞后现状,设计和实现了时态数据处理原型系统TempDB. TempDB采用中间件的架构实现,使用具有代表性的时态查询语言--ATSQL2,将时态操作语言转换成与之语义等价的、标准的SQL语言,然后在后台DBMS上执行,实现了基本的时态数据管理功能. TempDB总结应用了相关理论知识,同时也为时态数据库系统的产品化积累了经验.     

基于带Mobile Agent的无线传感器网络的分簇算法

相对于传统方式的无线传感器网络结构,带Mobile Agent(MA)的无线传感器网络(sensor network with mobile agent,SENMA)具有更高的能量效率和更长的网络生存时间.设计了一种针对SENMA的分簇算法:依据节点之间的位置关系将节点分为多个簇并选举出簇头节点,每个簇中,簇成员不与簇头进行通信,由簇头将监测数据回传至MA.实验证明这种算法能较好地平衡节点负载,缓解因节点失效导致的网络性能衰减.     

星上一体化电子系统的FDIR框架设计与研究

传统的卫星往往要在硬件设计开发后,才能针对具体硬件平台进行星载故障检测隔离恢复(FDIR)设计,这就使得整个卫星系统开发周期增长,FDIR软件也无法重用.首先分析了星上故障检测隔离和恢复的特殊性和必要性,在概述FDIR的基本概念、相关技术方法以及卫星数据模型(SDM)平台的基础上,提出了一个基于SDM平台的星上一体化综合电子系统FDIR框架,既克服传统卫星针对"一星一平台"的FDIR设计,又能方便整星的信息融合,提高FDIR能力.     

并行MLFMA分布层的构造及其负载均衡

研究了并行多层快速多极子算法（MLFMA）的分布层,提出了一种衡量其负载不均衡程度的方法,并在此基础上提出了分布树的一种新的构造算法。通过预先估算按分布层的不同层均分所得分布层的负载不均衡度,选取了一种负载不均衡度较小的方法来构造分布树。实验结果表明,该算法相比传统的按分布层的最细层均分所得分布树的算法,能更为有效地提高整个多层快速多极子算法的并行效率。     

磷化工工艺决策支持系统的构建

将决策支持系统(DSS)理论与磷化工工艺技术结合,建立磷化工工艺决策支持系统.介绍了该系统的基本理论、建立步骤、组成和数据处理框架的构成和功能,并利用层次分析法(AHP)、线性加权法和基于估计相对位置的方案排队法3种多属性决策方法实现辅助决策过程.磷化工工艺决策支持系统能够对磷矿资源合理利用、工艺优化选择提供决策辅助评判.     

苯与羰基钼相互作用的密度泛函研究

用密度泛函理论在B3LYP/LANL2DZ基组水平上自由优化(η~x-C_6H_6)Mo(CO)_n(x=1-6;n=1-5)复合物体系的可能构型及计算相互作用能,探索不同羰基数对复合物稳定性、苯和羰基钼相互作用的影响,并分析苯和羰基钼相互作用的NBO。结论(1)苯以η~6与Mo(CO)_n(n=1-3)配位形成的复合物比较稳定,但η~6配位复合物CO的个数越多,则越不稳定;(2)复合物1、2、3和10中,Mo(CO)_n与苯的相互作用拉动电荷由苯的π键电子向Mo(CO)_n的σ_(Mo-CO)~*键转移,而在复合物7中,苯的π键电子向Mo(CO)_n中Mo的孤对电子轨道d转移。     

人工免疫动态克隆调节策略在分馏装置塔板效率确定中的应用

在石油化工领域中,分馏过程是流程模拟计算中重要的模块之一,在分馏过程模拟的主要输入参数中,塔盘效率无法直接获得,因此确定合适的塔盘效率是分馏模拟成功与否的关键因素,探索合适的方法确定板效率是精馏模拟的重要课题。本文在板效率确定方面,引入人工免疫动态克隆优化调节策略DCAS,与传统的智能优化算法相比,该算法的特点为:自动调整搜索空间及克隆规模;采用多尺度变异策略;有机结合全局与局部搜索能力。在实验中,通过建立分馏装置的机理模型,并采集装置的实际工况数据和各流股质量组成的分析数据,对所采集的数据依据稳态过程的物料守恒方程等进行剔除和校正处理,采用校正后的工况数据作为模型的输入,分别用经验法、遗传算法GA及人工免疫动态调整策略DCAS确定分馏装置的塔板效率,使模型与实际装置达到最大程度的吻合。研究结果表明,用DCAS确定的塔板效率,能够使分馏塔的关键塔板温度分布及分馏塔塔顶、塔釜主要产品的产出与实际吻合得最好,表明用DCAS搜索的塔板效率建立的分馏塔模型能够较好地描述实际分馏塔的生产过程,可以用来指导分馏装置的过程模拟及优化操作。