Towards a Reference Architecture for Swarm Intelligence-based Internet of Things

International audienceThe Internet of Things (IoT) represents the global network which interconnects digital and physical entities. It aims at providing objects with intelligence that allows them to perceive, decide and cooperate with other objects, machines, systems and even humans to enable a whole new class of applications and services. Agent-Based Computing paradigm has been exploited to deal with the IoT system development. Many research works focus on making objects able to think by themselves thus imitating human brain. Swarm Intelligence studies the collective behavior of systems composed of many individuals who interact locally with each other and with their environment using decentralized and self-organized control to achieve complex tasks. Swarm intelligence-based systems provide decentralized, self-organized and robust systems with consideration of coordination frameworks. We explore in this paper the exploitation of swarm intelligence-based features in IoT-based systems. Therefore, we present a reference swarm-based architectural model that enables cooperation among devices in IoT systems

Attentive monitoring of multiple video streams driven by a Bayesian foraging strategy

In this paper we shall consider the problem of deploying attention to subsets of the video streams for collating the most relevant data and information of interest related to a given task. We formalize this monitoring problem as a foraging problem. We propose a probabilistic framework to model observer's attentive behavior as the behavior of a forager. The forager, moment to moment, focuses its attention on the most informative stream/camera, detects interesting objects or activities, or switches to a more profitable stream. The approach proposed here is suitable to be exploited for multi-stream video summarization. Meanwhile, it can serve as a preliminary step for more sophisticated video surveillance, e.g. activity and behavior analysis. Experimental results achieved on the UCR Videoweb Activities Dataset, a publicly available dataset, are presented to illustrate the utility of the proposed technique.Comment: Accepted to IEEE Transactions on Image Processin

3DIR: three-dimensional information retrieval from 3D building information modelling environments.

More and more information is being packed into Building Information Models (BIMs), with the 3D geometrical model serving as the central index to lead users to the many other types of building information. The Three-Dimensional Information Retrieval (3DIR) project investigates information retrieval from such environments, where information or documents are linked to a 3D artefact. In these situations, the 3D visualisation or 3D geometry of the building can be exploited when formulating information retrieval queries, computing the relevance of information items to the query, or visualising search results. Following reviews of literature in BIM/CAD and information retrieval, a clear gap was identified in the practice of information retrieval from BIM/CAD systems. End users were consulted to ascertain the precise user requirements in such an information retrieval system. Scenario-based design was adopted to design a software prototype. The 3DIR system was developed as an add-in under the Autodesk Revit BIM platform. The 3DIR prototype creates an index of all text data attached to the 3D model. The user is able to search for information by selecting specific 3D objects, by keyword and by specifying particular 3D regions of the model. Relationships between 3D objects are also used to rank search results. Search results are displayed by highlighting 3D objects in the 3D model. Findings from the evaluation of the prototype demonstrate its usefulness but suggest directions for future development. It is concluded that a tight coupling between text-based retrieval and the 3D model is extremely effective in 3D BIM environments

3DIR: exploiting topological relationships in three-dimensional information retrieval from BIM environments

An increasing amount of information is being packed into Building Information Models, with the 3D geometrical model serving as the central index leading to other building information. The Three-Dimensional Information Retrieval (3DIR) project investigates information retrieval from such environments, where information or documents are linked to a 3D artefact. Here, the 3D visualization/geometry can be exploited when formulating information retrieval queries, computing the relevance of information items to the query, or visualizing search results. Following reviews of literature in BIM and information retrieval, a clear gap was identified in the practice of information retrieval from BIM systems. The practical need for such a system was further specified using workshops with construction professionals as end users. A software prototype was developed, built on a commercial BIM platform. The 3DIR prototype creates an index of all text attached to the 3D model. The user can search for information by selecting specific 3D objects, specifying a spherical volume of the model and/or entering search keywords. This paper focuses on the exploitation of model topology. Relationships between 3D objects are used to widen the search, whereby relevant information items linked to a related 3D object (rather than information linked directly to a 3D object selected by the user) are still retrieved but ranked lower. Several such relationships between 3D objects were tested, whether explicitly encoded in the BIM information architecture or inferred from geometrical computations. An evaluation of the software prototype which exploits such topological relationships demonstrates its effectiveness but highlights the challenges to software users of added complexity. The system is subjectively rated comparably favorably. It is concluded that care needs to be taken when exploiting topological relationships, but that a tight coupling between text-based retrieval and the 3D model is generally effective in information retrieval from 3D BIM environments

An exploratory case study on reusing architecture decisions in software-intensive system projects

Reusing architecture decisions from previous projects promises to support architects when taking decisions. However, little is known about the state of art of decision-reuse and the benefits and challenges associated with reusing decisions. Therefore, we study how software architects reuse architecture decisions, the stakeholders and their concerns related to decision-reuse, and how architects perceive the ideal future state of decision-reuse. We conducted a qualitative explorative case study in the software-intensive systems industry. The study has shown that architects frequently reuse decisions but are confined to decisions they already know or have heard about. The results also suggest that architects reuse decisions in an ad-hoc manner. Moreover this study presents a conceptual model of decision-reuse and lists stakeholder concerns with regards to decision-reuse. The results of this study indicate that improving the documentation and discoverability of decisions holds a large potential to increase reuse of decisions and that decision documentation is not only important for system understanding or in the context of architecture reviews but also to support architects in upcoming projects

Three-dimensional information retrieval (3DIR): A graph theoretic formulation for exploiting 3D geometry and model topology in information retrieval

The 3DIR project investigated the use of 3D visualization to formulate queries, compute the relevance of information items, and visualize search results. Workshops identified the user needs. Based on these, a graph theoretic formulation was created to inform the emerging system architecture. A prototype was developed. This enabled relationships between 3D objects to be used to widen a search. An evaluation of the prototype demonstrated that a tight coupling between text-based retrieval and 3D models could enhance information retrieval but add an extra layer of complexity

Three-Dimensional Information Retrieval (3DIR): exploiting 3D geometry and model topology in information retrieval from BIM environments

In building modelling environments, more and more information is being crammed into 2D/3D building and product models. This is particularly true given the rise of Building Information Modelling (BIM, Eastman et al., 2011). The Three-Dimensional Information Retrieval (3DIR) project investigates information retrieval from these environments, where information or documents are linked to a 3D building model. In these situations, the 3D visualization or 3D geometry of the building can be exploited when formulating information retrieval queries, computing the relevance of information items to the query, or visualizing search results. Managing such building information repositories in this way would take advantage of human strengths in vision, spatial cognition and visual memory (Lansdale and Edmonds, 1992; Robertson et al., 1998). Information retrieval is associated with documents, and a critic might argue that documents are relics from the pre-BIM age that are no longer relevant in the era of BIM. However, the challenge of information retrieval is pertinent whether we are dealing with documents which are coarse grains of information or building object parameters/attributes as finer grains of information. Demian and Fruchter (2005) demonstrated that traditional retrieval computations can be applied with good results to 3D building models where textual or symbolic data are treated as very short documents. In this sense, it is almost a question of semantics whether the information being retrieved comes from object properties embedded in the BIM, or from external documents linked to the BIM. The challenge remains of retrieving non-geometric or textual information. This paper describes the findings of the 3DIR project whose aim was to improve information retrieval when retrieving information or documents linked to a 3D artefact, or non-geometric information embedded in the model of the artefact. The central objective was to develop an information retrieval toolset for documents/information linked to 3D building models which exploits 3D geometry and model visualisation. Such a toolset is essentially a search engine for retrieving information with a BIM platform. As a further objective, the toolset should leverage topological relationships in the 3D model to enhance information retrieval