Fireground location understanding by semantic linking of visual objects and building information models

This paper presents an outline for improved localization and situational awareness in fire emergency situations based on semantic technology and computer vision techniques. The novelty of our methodology lies in the semantic linking of video object recognition results from visual and thermal cameras with Building Information Models (BIM). The current limitations and possibilities of certain building information streams in the context of fire safety or fire incident management are addressed in this paper. Furthermore, our data management tools match higher-level semantic metadata descriptors of BIM and deep-learning based visual object recognition and classification networks. Based on these matches, estimations can be generated of camera, objects and event positions in the BIM model, transforming it from a static source of information into a rich, dynamic data provider. Previous work has already investigated the possibilities to link BIM and low-cost point sensors for fireground understanding, but these approaches did not take into account the benefits of video analysis and recent developments in semantics and feature learning research. Finally, the strengths of the proposed approach compared to the state-of-the-art is its (semi -)automatic workflow, generic and modular setup and multi-modal strategy, which allows to automatically create situational awareness, to improve localization and to facilitate the overall fire understanding

Quality traceability for user-centric context-aware systems in intelligent environments

Context-awareness is an important component of modern software systems. For example, in Ambient Assisted Living (AAL), the concept of context-awareness empowers users by reducing their dependence on others. Due to this role in healthcare, such systems need to be reliable and usable by their intended users. Our research addresses the development, testing and validation of context-aware systems in an emerging field which currently lacks sufficient systems engineering processes and disciplines. One specific issue being that developers often focus on delivering a system that works at some level, rather than engineering a system that meets a specified set of system requirements and their corresponding qualities. Our research aims to contribute towards improving the delivery of system quality by tracing, developing and linking systems development data for requirements, contexts including sensors, test cases and their results, and user validation tests and their results. We refer to this approach as the “quality traceability of context-aware systems”. In order to support the developer, the quality traceability of context-aware systems introduces a systems development approach tailored to context-aware systems in intelligent environments, an automated system testing tool and system validation process. We have implemented a case study to inform the research. The case study is in healthcare and based on an AAL system used to remotely monitor and manage, in real time, an individual prone to depressive symptoms

Towards formalisation of situation-specific computations in pervasive computing environments

We have categorised the characteristics and the content of pervasive computing environments (PCEs), and demonstrated why a non-dynamic approach to knowledge conceptualisation in PCEs does not fulfil the expectations we may have from them. Consequently, we have proposed a formalised computational model, the FCM, for knowledge representation and reasoning in PCEs which, secures the delivery of situation and domain specific services to their users. The proposed model is a user centric model, materialised as a software engineering solution, which uses the computations generated from the FCM, stores them within software architectural components, which in turn can be deployed using modern software technologies. The model has also been inspired by the Semantic Web (SW) vision and provision of SW technologies. Therefore, the FCM creates a semantically rich situation-specific PCE based on SWRL-enabled OWL ontologies that allows reasoning about the situation in a PCE and delivers situation specific service. The proposed FCM model has been illustrated through the example of remote patient monitoring in the healthcare domain. Numerous software applications generated from the FCM have been deployed using Integrated Development Environments and OWL-API

Remembering as a mental action

Many philosophers consider that memory is just a passive information retention and retrieval capacity. Some information and experiences are encoded, stored, and subsequently retrieved in a passive way, without any control or intervention on the subject’s part. In this paper, we will defend an active account of memory according to which remembering is a mental action and not merely a passive mental event. According to the reconstructive account, memory is an imaginative reconstruction of past experience. A key feature of the reconstructive account is that given the imperfect character of memory outputs, some kind of control is needed. Metacognition is the control of mental processes and dispositions. Drawing from recent work on the normativity of automaticity and automatic control, we distinguish two kinds of metacognitive control: top-down, reflective control, on the one hand, and automatic, intuitive, feeling-based control on the other. Thus, we propose that whenever the mental process of remembering is controlled by means of intuitive or feeling-based metacognitive processes, it is an action

Positive Sustainable Built Environments: The Cognitive and Behavioral Affordances of Environmentally Responsible Behavior in Green Residence Halls

A changing climate and global resource degradation have prompted technological innovations that reduce greenhouse gas emissions and are responsive to local ecological conditions. Green buildings that minimize the environmental impacts of the construction process and ongoing maintenance of the built environment, have been praised for their resource efficiency, design innovation, and benefits to building occupants. Increasingly, a growing body of literature has begun to examine the mutually beneficial relationships between sustainable architecture and building occupants. In addition to the well-documented benefits of inhabiting green buildings, the environmentally responsible behaviors (ERBs) of building occupants are worthy of examination. As a counterbalance to the dominant narrative in the green building industry that frames the building occupant as a potential energy liability, this research adopts a hopeful perspective of human behavior. Human behavior, though a significant contributor to global climate change, can also be part of the solution. This dissertation asserts that the situational context of green buildings may be designed to support the ERBs of building occupants. Much of the current research examining occupant ERBs in green buildings has focused exclusively on educational buildings, or buildings designed with a pedagogical intent (e.g., schools, museums, libraries). Less is known about how occupants learn about issues of sustainability and adopt environmental behaviors in buildings that are not designed to teach. This dissertation focuses on the environmental behaviors emerging from the informal relationship between undergraduate students and their on-campus residence halls, asking how the built environment supports or undermines the ERBs of occupants in green and non-green buildings over time. This dissertation develops and tests a theoretical model for understanding how buildings may support occupant ERBs. The Positive Sustainable Built Environments (PSBE) model is composed of three principle domains: Prime, Permit, and Invite. Collectively, the three components of the PSBE model suggest that a building 1) may prepare occupants to participate in ERBs through the restoration of their mental resources and/or by communicating a sustainable ethos, 2) may allow building occupants to control aspects of the interior environment related to their own energy and resource consumption, and 3) may encourage occupants to engage in ERBs through building features that implement a variety of behavioral intervention strategies. Occupant ERBs were measured over the course of one academic year through an online survey conducted with the first-time residents of six undergraduate residence halls. While many studies have explored the effectiveness of environmental behavior change intervention strategies with undergraduate students, very little research has examined the pre-existing psychological dimensions and the situational context of green buildings that may influence students’ environmental behaviors. The results of a linear mixed-effects regression analysis revealed no significant relationship between occupying a green residence hall and students’ ERBs. However, a further analysis of specific building characteristics, analyzed according to the PSBE model, suggest strong support for two of the three domains. The Prime and Invite domains were found to positively support occupant ERBs, regardless of the greenness of the residence hall. Additionally, several personal characteristics (i.e., Biospheric values, Environmental Concern, Technology motive, and Egoistic values) were found to significantly impact students’ ERBs. Results are discussed in light of implications for designers seeking to harness the existing environmental inclinations of college students and to adapt the physical and informational environments of residence halls to better support environmentally responsible behavior.PHDArch&Nat ResEnv PhDUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttps://deepblue.lib.umich.edu/bitstream/2027.42/147618/1/emham_1.pd

Flexible context aware interface for ambient assisted living

A Multi Agent System that provides a (cared for) person, the subject, with assistance and support through an Ambient Assisted Living Flexible Interface (AALFI) during the day while complementing the night time assistance offered by NOCTURNAL with feedback assistance, is presented. It has been tailored to the subject’s requirements profile and takes into account factors associated with the time of day; hence it attempts to overcome shortcomings of current Ambient Assisted Living Systems. The subject is provided with feedback that highlights important criteria such as quality of sleep during the night and possible breeches of safety during the day. This may help the subject carry out corrective measures and/or seek further assistance. AALFI provides tailored interaction that is either visual or auditory so that the subject is able to understand the interactions and this process is driven by a Multi-Agent System. User feedback gathered from a relevant user group through a workshop validated the ideas underpinning the research, the Multi-agent system and the adaptable interface

Flexible context aware interface for ambient assisted living

A Multi Agent System that provides a (cared for) person, the subject, with assistance and support through an Ambient Assisted Living Flexible Interface (AALFI) during the day while complementing the night time assistance offered by NOCTURNAL with feedback assistance, is presented. It has been tailored to the subject’s requirements profile and takes into account factors associated with the time of day; hence it attempts to overcome shortcomings of current Ambient Assisted Living Systems. The subject is provided with feedback that highlights important criteria such as quality of sleep during the night and possible breeches of safety during the day. This may help the subject carry out corrective measures and/or seek further assistance. AALFI provides tailored interaction that is either visual or auditory so that the subject is able to understand the interactions and this process is driven by a Multi-Agent System. User feedback gathered from a relevant user group through a workshop validated the ideas underpinning the research, the Multi-agent system and the adaptable interface

Contexts and context-awareness revisited from an intelligent environments perspective

Context is a useful concept somehow unconsciously used by humans in daily life problem-solving. Recently several subareas of computer science have been increasingly trying to rely on this concept to design systems with practical use in certain predefined circumstances. The perception is that imbuing in the system certain context-awareness qualities can support intelligent decision-making in specific practical situations. Despite a significant number of implemented systems which aim at providing context-awareness there is a lack of commonly accepted and used methodologies and tools. At the root of this, is the lack of agreement on a set of good principles or standards which can act as a guide to the scientific community and the developers interested in this class of systems. There have been some extensive surveys on the use of context, still there is no theoretical corpus emerging which we can use to discuss the essential concepts making up the fabric of contexts and its use by system developers. Here we attempted such enterprise at a level which is more formal than popular surveys, in a way that is not implementation dependent and in a way that highlights key concepts of relevance to developers. We reassessed first the basic concepts identifying the need to more prominently consider system beneficiaries’ satisfaction. We then transfer explicitly these values to a more formal outline of the basic components and the operations which emerge as relevant. We identify and highlight the tasks of context activation, comparison, influence, construction, and interaction. We hint at how these may work in practice and explained these through examples. We show how the theory is flexible enough by generalizing it to multiusers so that optimization of global preferences and expectations is used to drive system development and system behaviour