寒冷地区东西向住宅演进及户型布局研究

适度发展东西向住宅是推进住宅建设集约化发展的重要途径,本文探讨寒冷地区东西向住宅的实践价值及设计规律,以为贯彻国家节能省地住宅产业策略提供思路.论文探讨了东西向住宅的节地可行性、气候适应性和市场适应性;结合对该类住宅发展演进的研究,指出东西向住宅已成为当今住宅区建设的重要组成部分;进而,通过对住宅户型五种典型布局形式的总结,提出了寒冷地区东西向住宅的适应性设计模式.     

相转移催化剂与反应机理的结构适应性研究

有机化学反应中,催化剂的选择关系到有机物合成的效率及产物的纯度,为了提高催化剂的研制效率,缩小催化剂的选择范围,对某些季铵盐类相转移催化剂与反应速率、产物组成之间的关系进行了研究。结果表明:适宜的催化剂,其结构往往与反应机理相适应。     

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。     

四足机器人腿型配置的仿真分析与性能评价

对于四足机器人,腿型和关节姿态的布置形式极为重要,决定着机器人的运动学和动力学性能;四足机器人的腿型配置形式多样,为了在有效行走的前提下分析不同腿型配置的四足机器人的性能优劣和效率高低,采用基于CPG的仿生步态算法进行运动控制,通过Matlab/Simulink与Adams联合仿真,从速度、能耗和地形适应性三方面对不同腿型配置的四足机器人进行仿真分析和性能评价;通过对比仿真结果得知,前肘后膝型机器人前进速度更快,运动更平稳,横向偏移更小,能耗更低,具有更好的地形适应性,运动性能更优越,为物理样机调试与优化提供了理论依据。     

Biologically adaptive robust mean shift algorithm with Cauchy predator-prey BBO and space variant resolution for unmanned helicopter formation

Visual tracking technology can provide measurement information for unmanned helicopter formation and thus, more attention is being paid to this research area. We propose a novel mean shift （MS） algorithm that is both adaptive and robust for unmanned helicopter formation and apply it to the leading unmanned helicopter tracking. The movement of an unmanned helicopter is very flexible and changeable, which makes the tracking there of more difficulty than for common targets. In creating an algorithm that can adapt to the acceleration of the unmanned helicopter and estimates both the scale and orientation of the movement changes, we combine the traditional MS with the bio-inspired Cauchy predator-prey biogeography-based optimization （CPPBBO） evolutionary algorithm, and also the space variant resolution （SVR） mechanism of the human visual system （MS-CPPBBO-SVR）. To demonstrate the effectiveness and robustness of the proposed method and justify the importance of the CPPBBO algorithm and SVR mechanism at the same time, a series of comparative exper- iments were carried out. The experimental results of the proposed MS-CPPBBO-SVR method are compared with other competitive tracking methods, such as MS, MS with SVR （MS-SVR）, MS-SVR with several other optimization algorithms, and the robust particle filter algorithm. The experimental results demonstrate that our proposed tracking approach, MS-CPPBBO-SVR, is more adaptive, robust and efficient in target tracking than the other methods.     

Towards evolvable Internet architecture-design constraints and models analysis

There is a general consensus about the success of Internet architecture in academia and industry. However, with the development of diversified application, the existing Internet architecture is facing more and more challenges in scalability, security, mobility and performance. A novel evolvable Internet architecture framework is proposed in this paper to meet the continuous changing application requirements. The basic idea of evolvability is relaxing the constraints that limit the development of the architecture while adhering to the core design principles of the Internet. Three important design constraints used to ensure the construction of the evolvable architecture, including the evolvability constraint, the economic adaptability constraint and the manageability constraint, are comprehensively described. We consider that the evolvable architecture can be developed from the network layer under these design constraints. What＇s more, we believe that the address system is the foundation of the Internet. Therefore, we propose a general address platform which provides a more open and efficient network environment for the research and development of the evolvable architecture.     

流行性乙型脑炎病毒在二倍体细胞上的适应性

目的研究流行性乙型脑炎病毒在二倍体(2BS)细胞上的传代适应性,确定在2BS细胞上培养乙脑病毒的条件和方法。方法通过病毒毒力和免疫原性检测,观察在不同培养条件下乙脑病毒在2BS细胞上的增殖情况。结果pH值在7·4～7·6之间、人血白蛋白含量为0·2%、病毒稀释度为1:1000时,病毒维持液培养的病毒滴度最高。在2BS细胞上传50代的病毒滴度均在7·0logLD50以上,且差异无显著意义。连续传代后病毒的免疫原性下降。结论建议用于建立病毒种子库的流行性乙型脑炎病毒,在2BS细胞上传代不应超过3代。     

标准模型下的灵活细粒度授权密文一致性检测方案

密文一致性检测公钥加密方案是一种检测者能够在无需解密密文的情况下检测一对密文的一致性,即该对密文解密所得明文是否一致的公钥加密方案.已有工作中提及的细粒度授权方案和灵活授权方案在授权粒度方面对密文一致性检测公钥加密方案的功能性进行了改进:细粒度授权方案允许2名用户生成专用于检测这2名用户的所有密文的一致性的令牌.灵活授权方案则将令牌的授权客体从用户级别拓展至指定密文级别.2种方案拥有各自的应用场景且在功能性方面互不包含.因此提出灵活细粒度授权密文一致性检测公钥加密方案.与已有方案相比,该方案在计算效率和参数大小方面相当,并具备适应性选择密文攻击安全性、细粒度授权安全性.该方案兼具细粒度授权特性与灵活细粒度特性.同时,对比依赖预言机模型的已有相关方案,其安全性证明基于标准模型之上.     

有适应力的分布式状态估计方法

为提高智能体系统对攻击的免疫力,研究了测量攻击下的适应力分布式状态估计方法。每个智能体对系统状态进行连续的本地线性测量。由于不同智能体的本地测量模型相互异构,对系统状态可能不具有本地可观测性,且攻击者能够操控部分智能体的测量数据,随意改变其测量结果。而智能体的目标是协同处理本地测量数据,并正确估计出未知的系统状态。因此,该问题的挑战在于在不对真实测量数据和恶意智能体的测量数据进行分辨时,如何设计算法估计得到真实的系统状态。为了解决这个问题,设计了适应性分布式最大后验概率估计算法。在该算法中,只要恶意智能体的数量小于某个特定值,所有智能体都能够收敛到系统状态。首先,根据卡尔曼滤波给出集中式最大后验概率(Maximum A Posteriori,MAP)估计方法,并与分布式一致性结合,进而得到分布式最大后验概率估计方法。然后,考虑到测量攻击,从估计一致性的角度,利用自适应饱和度增益设计了适应性分布式最大后验概率估计方法。最后,通过仿真实验验证算法的有效性。