A Virtual Space with Real IoT Data.

Large quantities of live data about an environment can be easily and cheaply collected using a network of small sensors (IoT). However these sensors typically do not display any information directly, and it can be difficult to understand the data collected. Conversely VR environments used for training, require scenarios to be created, populated with rich data. By linking the VR system directly to the IoT data broker we import the live (or recorded) status of real hardware from an industrial environment into the virtual world allowing a remote viewer to monitor the operation of the system

Human Factor and Energy Efficiency in Buildings: Motivating End-Users Behavioural Change

Energy efficiency in buildings does not only rely on efficient technical solutions and design of the building features, but is also highly dependent on how occupants decide to set their comfort criteria, as well as on their energy-related and environmental lifestyles. In this perspective, raising user awareness among occupants by training them to adopt a more “green” and energy-friendly behaviour has become a crucial aspect for reaching energy efficiency goals in buildings. Motivating occupants to change their behaviour can become a challenging task, especially if they are expected to internalize and adopt the new behaviour on a long term. This means that information and feedback provided to the occupants must be stimulating, easy to understand, and easy to adopt in the daily routine. In this context, first methodological progresses are here presented within an European project, designed to raise user awareness, reduce energy consumptions and improve health and IEQ conditions in different typologies of demonstration case studies by providing combined feedback on energy, indoor environmental quality, and health. In particular, this paper presents one out of five MOBISTYLE demonstration testbeds – a residence hotel - located in central Turin (IT). In detail, this paper describes the setup of a tailored engagement campaign for hotel apartments and the reception area. Based on selected monitored variables, user-friendly feedback was defined to provide the users with real-time information on energy use and environmental quality, as well as guidance on how to save energy and optimize consumption profiles while creating an acceptably comfortable and healthy indoor environment

Cause of Death and Predictors of All-Cause Mortality in Anticoagulated Patients With Nonvalvular Atrial Fibrillation : Data From ROCKET AF

M. Kaste on työryhmän ROCKET AF Steering Comm jäsen.Background-Atrial fibrillation is associated with higher mortality. Identification of causes of death and contemporary risk factors for all-cause mortality may guide interventions. Methods and Results-In the Rivaroxaban Once Daily Oral Direct Factor Xa Inhibition Compared with Vitamin K Antagonism for Prevention of Stroke and Embolism Trial in Atrial Fibrillation (ROCKET AF) study, patients with nonvalvular atrial fibrillation were randomized to rivaroxaban or dose-adjusted warfarin. Cox proportional hazards regression with backward elimination identified factors at randomization that were independently associated with all-cause mortality in the 14 171 participants in the intention-to-treat population. The median age was 73 years, and the mean CHADS(2) score was 3.5. Over 1.9 years of median follow-up, 1214 (8.6%) patients died. Kaplan-Meier mortality rates were 4.2% at 1 year and 8.9% at 2 years. The majority of classified deaths (1081) were cardiovascular (72%), whereas only 6% were nonhemorrhagic stroke or systemic embolism. No significant difference in all-cause mortality was observed between the rivaroxaban and warfarin arms (P=0.15). Heart failure (hazard ratio 1.51, 95% CI 1.33-1.70, P= 75 years (hazard ratio 1.69, 95% CI 1.51-1.90, P Conclusions-In a large population of patients anticoagulated for nonvalvular atrial fibrillation, approximate to 7 in 10 deaths were cardiovascular, whereasPeer reviewe

Evaluating canalside hedgerows to determine future interventions

This paper describes a project undertaken during 2001/2002 which developed a method for valuing hedgerows adjacent to the inland waterway network of Great Britain. The method enables the landowner, British Waterways, to manage their valuable environmental asset to achieve a good level of biodiversity and robust habitat balanced against the heavy amenity use the 3000 km canal network endures. Valuation techniques were developed using a combination of new and existing ecological indices for components of biodiversity, hedgerow structure and amenity, and synthesised into an index in an innovative combined approach. The resultant index was then applied to a sample 20 km section of hedge alongside the Grand Union Canal in Southeast England. The results obtained reflect the hedgerows' present value, and highlight factors that might improve or limit their future increase in value. The results from the case study application also demonstrate that there is a positive relationship between hedgerow structure and biodiversity, and that hedgerows in urban areas are less biodiverse and structurally sound than those in rural areas. Furthermore, there is a zone within rural areas influenced by the adjacent urban areas and/or higher amenity use. The paper concludes with an assessment of the approaches' strengths and weaknesses with a view to its compatibility with other hedgerow evaluations, such as HEGS, its use by other agencies or landowners, and to aid hedgerow management and future development. (C) 2004 Elsevier Ltd. All rights reserved