Fault detection and diagnosis is an important problem in process engineering. It is the central component of abnormal event management (AEM) which has attracted a lot of attention recently. AEM deals with the timely detection, diagnosis and correction of abnormal conditions of faults in a process. Early detection and diagnosis of process faults while the plant is still operating in a controllab...

Capacitive deionization (CDI) is a fast-emerging water desalination technology in which a small cell voltage of ~1 V across porous carbon electrodes removes salt from feedwaters via electrosorption. In flow-through electrode (FTE) CDI cell architecture, feedwater is pumped through macropores or laser perforated channels in porous electrodes, enabling highly compact cells with parallel flow and ...

In this paper, we study both processes of direct and indirect knowledge transfer, from a modelling perspective, using agent-based models. In fact, there are several ways to model knowledge. We choose to study three different representations, and try to determine which one allows to better capture the dynamics of knowledge diffusion within a social network. Results show that when knowledge is mo...

In this paper we introduce a descriptive temporal deontic logic based on causal theories. The underlying nonmonotonic temporal logic has two distinctive properties. First, it distinguishes between observations and interventions, which among others is used to distinguish between the existence and creation of deontic states such as obligations, permissions and prohibitions. Second, its explicit c...

The Octopus method packages a rich set of mostly graphical object-oriented (OO) modeling techniques that facilitate the creation of abstract, well-structured models of structure and behavior along a variety of modeling perspectives. The techniques provide good tools for managing the complexity in reactive, embedded systems. On the other hand, the lack of precise semantics for the modeling notat...

Online social networks have become major and driving phenomena on the web. In this talk we will address key modeling and algorithmic questions related to large online social networks. From the modeling perspective, we raise the question of whether there is a generative model for network evolution. The availability of time-stamped data makes it possible to study this question at an extremely fin...

Since its inception Language Action Perspective (LAP) has made significant progress in developing ontological and epistemological theories of information systems, new modeling approaches and tools, or new computer based coordination tools. In some sense LAP has come of age and can be regarded a specific computing movement, or a unique discourse and voice in the information technology revolution...

Novice innovators and entrepreneurs face the risk of designing naive business models. In fact, lack of viability in business models is perceived to be a major threat for the start-up success. Both the literature and the responses we gathered from experts in incubation present evidences of this problem. The LightCDD method helps entrepreneurs in the analysis, design and specification of start-up...

A data modeling perspective on computer support for collaborative writing is given. In particular, the problem is identified as a temporal database application. The solution proposed is based upon a design system architecture the repository of which uses the GENREG historical data model. GENREG uses event graphs to provide a group memory. Nodes represent the design objects (documents, reference...

Various recent developments in Collaborative Networks (CNs) attempt to model a number of aspects that are characterized by an inherent imprecision and incompleteness of information. In fact, collaborative networks are complex entities whose proper understanding, design, implementation, and management require the integration of different modeling perspectives and techniques. Perspectives related...