in this paper, we present a multi-formalism modeling framework (abbreviated by mfmf) for modeling and simulation. the proposed framework is defined based on the concepts of meta-models and uses object-orientation to overcome the complexities and to enhance the extensibility. the framework can be used as a basis for modeling by various formalisms and to support model composition in a unified man...

In recent years, dynamic multi-layer networks have emerged. Unlike regular networks these multi-layer networks allow users and other networks to interface on different technology layers. While path finding on a single layer is currently well understood, path finding on multi-layer networks is far from trivial. Even the constraints (the possible incompatibilities) are not always clear. This pape...

A kind of new multi-layer adsorbent including Tenax TA/multi-walled carbon nanotubes (MWCNTs)/Carboxen 564 was developed for collecting volatile organic compounds. The adsorption and desorption efficiencies of 11 kinds of adsorbents (including Activated charcoal, Tenax TA, Carboxen 564, Chromosorb 101, Chromosorb 102, Chromosorb 103, Chromosorb 105, Porapak Q, GDX 301, XAD-2, and MWCNTs) were c...

This paper describes multi-layer traffic engineering and signaling technologies in photonic-GMPLS-router networks. Multi-layer traffic engineering, which yields the dynamic cooperation of IP and photonic layers for providing IP services cost-effectively, is described. To realize multi-layer traffic engineering, we propose an OSPF extension that advertises both the number of total wavelengths an...

Multi-hop wireless networks are facing some research issues regarding routing protocols and security mechanisms. Multihop decentralized architecture, media access delay, lower link life, and multi-layer security threats are the key challenges which need to be address. The selection of optimal path for routing and the detection of multilayer security attacks cannot be achieved with the tradition...

Identifying membrane proteins and their multi-functional types is an indispensable yet challenging topic in proteomics and bioinformatics. In this article, we provide data that are used for training and testing Mem-ADSVM (Wan et al., 2016. "Mem-ADSVM: a two-layer multi-label predictor for identifying multi-functional types of membrane proteins" [1]), a two-layer multi-label predictor for predic...