基于复杂网络理论的产甲烷常温菌和嗜热菌的代谢网络的拓扑与模块化的研究

近几年,复杂网络的研究正成为广泛关注的热点,代谢网络是复杂网络的一个例子。本文以产甲烷的常温古细菌Methanosarcina acetivorans(M.acetivorans)和嗜热古细菌Methanopyrus kandleri(M.kandleri)的代谢网络为对象,从拓扑参数以及模块化两方面进行比较研究。结果表明:M.acetivorans与M.kandleri的代谢网络均具有较高的模块化结构。同时发现它们模块化后的代谢网络中的Hub模块均属于氨基酸代谢和碳水化合物代谢,表明这些网络模块均具有一定的功能意义。最后将Hub模块与最紧密的k-核心网络相比较,发现它们节点完全相同,此结果表明代谢网络的最紧密k-核心网络部分也是不同网络比较的重要因素。     

基于模块化思想的服装智能传输系统开发

从现有的服装生产传输方式入手,分析了各种传输方式的优缺点,提出了基于模块化思想的服装智能传输系统开发的思想和关键技术。     

软件构件化技术在MIS系统开发中的应用

介绍了软构件技术在实践中的应用。通过对ＭＩＳ系统开发方法的分析,提出了组合ＭＩＳ构件的一种新的开发方法─—积木法,将ＭＩＳ系统划分为若干功能构件,设计并实现了一个较通用的ＭＩＳ集成一体化开发环境。使得用户可以利用此环境中软构件库里的软构件,高效率地开发出高质量的ＭＩＳ系统。     

Community detection and service discovery on Social Internet of Things

Due to the increasing growth of objects and problems such as increased traffic, overload, delay in response, and low search volume in the service discovery process in the complex Social Internet of Things (SIoT) environment, we provide an effective mechanism in the service discovery process by grouping objects based on common criteria that help us improve service search performance. In this article, we present a new method for clustering objects so that we can group objects that have common services and can work together. Hence, we create a set of different associations for the type of service and reciprocal cooperation of objects. With its help, instead of a global network search, we can perform service searches locally more efficiently and ensure the accuracy and correctness of searches and their answers. Then, we have provided a new mechanism for the service discovery process. In addition, we categorized communities based on their size to compare our proposed algorithm with other approaches using factors such as modularity in SIoT. Finally, we achieved sufficient efficiency in service discovery (86.81% and 88.28%) and demonstrated better performance of the proposed approach in identifying communities.