Two general integral inequalities and their applications to stability analysis for systems with time‐varying delay

Integral inequalities have been widely used in stability analysis for systems with time‐varying delay because they directly produce bounds for integral terms with respect to quadratic functions. This paper presents two general integral inequalities from which almost all of the existing integral inequalities can be obtained, such as Jensen inequality, the Wirtinger‐based inequality, the Bessel–Legendre inequality, the Wirtinger‐based double integral inequality, and the auxiliary function‐based integral inequalities. Based on orthogonal polynomials defined in different inner spaces, various concrete single/multiple integral inequalities are obtained. They can produce more accurate bounds with more orthogonal polynomials considered. To show the effectiveness of the new inequalities, their applications to stability analysis for systems with time‐varying delay are demonstrated with two numerical examples. Copyright © 2016 John Wiley & Sons, Ltd.     

Feature aggregating hashing for image copy detection

Currently, research on content based image copy detection mainly focuses on robust feature extraction. However, due to the exponential growth of online images, it is necessary to consider searching among large scale images, which is very time-consuming and unscalable. Hence, we need to pay much attention to the efficiency of image detection. In this paper, we propose a fast feature aggregating method for image copy detection which uses machine learning based hashing to achieve fast feature aggregation. Since the machine learning based hashing effectively preserves neighborhood structure of data, it yields visual words with strong discriminability. Furthermore, the generated binary codes leads image representation building to be of low-complexity, making it efficient and scalable to large scale databases. Experimental results show good performance of our approach.     

物联网技术在建筑集成系统设计中的应用

针对物联网技术在建筑集成系统设计中的应用展开了探讨,对物联网技术与智能建筑作了简要的介绍,并对建筑集成系统的技术方案和设计两方面作了系统的阐述分析,以期能为有关方面的需要提供有益的参考借鉴。     

N皇后问题独立解算法研究和仿真实现

根据N皇后可行解的七种对称关系,提出求N皇后问题独立解的算法,并验证算法的可行性和正确性。建立求解N皇后问题的仿真软件,验证N皇后问题全解和独立解个数约8:1的数学关系。     

虚拟天文台技术在HXMT卫星任务中应用的设想

随着国际上天文项目的发展与推进,天文数据呈爆炸式增长。如何从浩瀚如海的大数据集中快速检索所需信息,已成为各国科研人员共同面对的问题。虚拟天文台（Virtual Observatory,VO）为满足对大规模天文数据进行处理分析、检索访问和共享发布等需求,提供了一系列 VO 标准协议和集成化服务。开发符合 VO 标准协议的天文数据发布与检索系统、集成数据访问发布和可视化分析服务,符合当前的发展趋势。本文在回顾 VO发展历程的基础上,对 VO 体系结构、VO 标准协议等若干关键技术进行概括阐述。同时,基于 VO的技术框架,提出硬 X 射线调制望远镜（Hard X-ray ModulationTelescope,HXMT）卫星数据发布与检索系统的初步设想,设计符合卫星任务需求的体系结构,并选取相关的 VO 标准协议加以实现。     

气动激励装置原型机磁共振弹性成像研究

介绍:磁共振弹性成像是一种无创的对生物组织的生物力学特性进行定量分析的新技术。在诸多外部机械激励方法中,气动激励装置因其磁兼容性好而相对被广泛使用。本研究搭建了一台气动装置原型机并测试了该装置在不同频率和振幅条件下的性能。材料和方法:使用超声方法测试气动激励装置原型机在无负载条件和不同频率和振幅情况下的性能,并在磁共振弹性成像环境测试该原型机在有负载条件下的性能。结果:生物组织的弹性值与外部激励的频率和振幅、生物组织的机械力学特性以及传导管的长度和内径有关。结论:稳定可靠的机械波是磁共振弹性成像中准确可靠地重建组织弹性值的保障,气动激励装置的机械激励参数应根据不同生物组织的特性进行优化,以保证弹性值重建的可靠性。     

吉林省西部水环境改善探讨

吉林省西部水环境恶化,干旱日趋严重,土地荒漠化、盐渍化进程加快,牧草退化,湿地萎缩,生物物种减少,使得农业生产的不稳定性加剧。通过对该地区水环境现状的研究,提出了相应的改善措施,即利用流经吉林省西部地区境内的嫩江、洮儿河和霍林河的天然过境水和洪水,以及三大灌区的回归水,充盈星罗棋布的泡塘,扩大水面面积和湿地面积,从根本上解决吉林省西部地区水环境恶化的问题。