嗜酸氧化亚铁硫杆菌驯化条件的研究

随着办研究氧化亚铁硫杆菌结果表明,最佳培养温度为30℃左右,最佳生长pH为2.0～2.5,最佳生长初始Fe2＋浓为0115mol/L左右,在进行细菌培养时接种量取10%比较恰当。低pH值和高浓度Fe2＋驯化后,在培养温度30℃、初始pH值1.5、初始Fe2＋浓度25g/L条件下,氧化亚铁硫杆菌仍能保持一定的Fe2＋氧化活性,6天Fe2＋氧化率可达82.28%,Fe2＋平均氧化速率达3.43g/L/d,pH值的变化是先上升后下降,最后稳定在1.81。     

“主动适应”：从教育规律视角的认识

当现代大学越来越成为国家实力和国家综合竞争力的象征和标志时,“主动适应”,即大学人才培养主动适应经济社会发展的需要,或大学主动为经济社会发展服务,似乎更多关注现代大学承载的社会责任,而相应较少关注高等教育的规律。然而,“主动适应”是高等教育的办学理念,因而应从高等教育规律上进行认识和把握。     

变通理论在商务英语翻译中的应用

商务英语是一门由"商务"与"英语"有机融合的学科。国际商务英语在词法、句法和风格上的特殊性和针对性说明传统的"全译"已经不能满足现实的需求,而变通翻译理论对一些己经存在的变译现象给出合理的解释,弥补了"全译"的不足。文章试从商务英语翻译入手举例认识变通翻译理论,通过对变通翻译理论的阐述,诠释其在实际翻译工作中的应用。     

水分胁迫下高羊茅幼苗的生理适应性

采用不同浓度PEG6000模拟水分胁迫处理6种高羊茅幼苗,测定了胁迫72 h后叶片叶绿素含量、相对电导率、丙二醛含量、超氧化物歧化酶和过氧化物酶活性等抗旱指标,以综合评价6种高羊茅的抗旱能力。综合分析可知,6种高羊茅的苗期抗旱能力最强的是阳光宝贝。     

结合特征适配与拉普拉斯形变的3维人脸重建

目的 数字娱乐产业的发展要求3维人脸重建技术能重建高分辨率3维人脸,并具有较高计算效率和重建准确性。针对这一情况,提出一种基于单幅图像的高分辨率3维人脸重建方法。方法 该方法包含特征适配与拉普拉斯形变两部分。预先用1组3维人脸样本上的3维特征构造可变形模型。给定图像时,从其上自动提取2维特征点,并根据获得问题最优解的必要条件进行特征适配以重建个性化3维特征;然后基于拉普拉斯方法,用该3维特征对一般人脸模型进行变形以获得特定高分辨率3维人脸;最后通过纹理合成获得真实感人脸。结果 用本文方法和已有方法分别进行可变形模型适配和模型变形,本文的特征适配方法具有更快的收敛速度和更高的准确性,拉普拉斯方法具有更小的重建误差。纹理映射后的3维人脸具有很好的视觉效果。结论 本文方法将特征适配与拉普拉斯形变结合起来进行高分辨率3维人脸重建。实验结果表明所提出的方法具有较高的计算效率和准确性,能实现较为理想的高分辨率3维人脸重建。     

Requirements model driven adaption and evolution of Internetware

Today’s software systems need to support complex business operations and processes.The development of the web-based software systems has been pushing up the limits of traditional software engineering methodologies and technologies as they are required to be used and updated almost real-time,so that users can interact and share the same applications over the internet as needed.These applications have to adapt quickly to the diversified and dynamic changing requirements in the physical,technological,economical and social environments.As a consequence,we are expecting a major paradigm shift in software engineering to reflect such changes in computing environment in order to better address the fundamental needs of organisations in this new era.Existing software technologies,such as model driven development,business process engineering,online(re-)configuration,composition and adaptation of managerial functionalities are being repurposed to reduce the time taken for software development by reusing software codes.The ability to dynamically combine contents from numerous web sites and local resources,and the ability to instantly publish services worldwide have opened up entirely new possibilities for software development.In retrospect to the ten years applied research on Internetware,we have witnessed such a paradigm shift,which brings about many changes to the developmental experience of conventional web applications.Several related technologies,such as cloud computing,service computing,cyber-physical systems and social computing,have converged to address this emerging issue with emphasis on different aspects.In this paper,we first outline the requirements that the Internetware software paradigm should meet to excel at web application adaptation;we then propose a requirement model driven method for adaptive and evolutionary applications;and we report our experiences and case studies of applying it to an enterprise information system.Our goal is to provide high-level guidelines to researchers and practitioners to meet the challenges of building adaptive industrial-strength applications with the spectrum of processes,techniques and facilities provided within the Internetware paradigm.     

OpenCOPI: middleware integration for Ubiquitous Computing

In this paper, we present OpenCOPI (Open COntext Platform Integration), a Service-Oriented Architecture-based middleware platform that supports the integration of services provided by distinct sources, ranging from services offered by simple systems to more complex services provided by context-provision middleware. OpenCOPI offers selection and composition mechanisms to, respectively, select and compose services provided by different sources, considering applications of both Quality of Service and Quality of Context requirements. It also offers an adaptation mechanism that enables to adapt the application execution due to service failures, service quality fluctuation and user mobility. OpenCOPI allows the definition of applications in a higher abstraction level by the specification of a semantic workflow that contains abstract activities. This paper illustrates the use of OpenCOPI in an application from the Gas & Oil Industry and it also shows the evaluation of the main mechanisms of OpenCOPI: the service selection, composition, adaptation and workflow execution.     

基于双重权重偏差建模的无监督域适应

无监督域适应(Unsupervised Domain Adaptation,UDA)是一类新兴的机器学习范式,其通过对源域知识在无标记目标域上的迁移利用,来促进目标域模型的训练。为建模源域与目标域之间的域分布差异,最大均值差异(Maximum Mean Discrepancy,MMD)建模被广泛应用,其对UDA的性能提升起到了有效的促进作用。然而,这些方法通常忽视了领域之间对应类规模与类分布等结构信息,因为目标域与源域的数据类规模与数据分布通常并非一致。为此,文中提出了一种基于跨域类和数据样本双重加权的无监督域适应模型(Sample weighted and Class weighted based Unsupervised Domain Adaptation Network,SCUDAN)。具体而言,一方面,通过源域类层面的适应性加权来调整源域类权重,以实现源域与目标域之间的类分布对齐;另一方面,通过目标域样本层面的适应性加权来调整目标域样本权重,以实现目标域与源域类中心的对齐。此外,文中还提出了一种CEM(Classification Expectation Maximization)优化算法,以实现对SCUDAN的优化求解。最后,通过对比实验和分析,验证了所提模型和算法的有效性。     

结合域间与域内变化的跨域行人重识别算法

针对单域训练的行人重识别模型迁移到另一个域内测试时性能巨大下降的问题,提出一种结合域间与域内变化的跨域行人重识别算法。采用PR策略将行人特征图进行分区处理,提高模型泛化能力。针对域间变化,引入域间姿势不变性,缩小源域和目标域行人的姿势差距。针对域内变化,引入域内姿势不变性、样本不变性、邻域不变性和相机风格不变性,扩大不同行人之间的距离,缩小相同行人之间的距离。实验表明,PR策略和5个不变性能有效地增强跨域行人重识别中的域自适应性,与只注重域间变化或域内变化的算法相比,其识别精度得到有效提升。     

城市交通发展规模与交通资源适应性模型及算法

为科学确定城市交通的发展规模,在分析关键交叉口转向能力的基础上,提出了基于超级节点的城市交通网络构建方法;考虑公交资源以及公交优先发展战略的因素,构建了城市交通发展规模与交通资源适应性的数学模型,并设计了基于反馈的免疫克隆算法.以城市内某一区域为例对模型和算法进行验证,结果表明:模型及算法具有较好的实用性,能够为城市交通规划部门提供良好的决策支持.