Developing Non‑Residential Building Stock Archetypes For LCI—A German Case Study Of Office And Administration Buildings

To accomplish the national and international climate goals, building renovation and optimisation of their energy and resource efficiency are essential. Thus, reliable information on the building stock (BS) is necessary. Most previous building typologies are focussing on residential buildings and the operational phase. This paper shows the development of a methodology for generating non-residential building (NRB) typologies for life cycle inventory analysis (LCI) of building constructions. Hereby, archetypes of office, administration and department (OAD) buildings are developed, exemplarily for the German NRB stock

Cross-sectional associations between air pollution and chronic bronchitis: an ESCAPE meta-analysis across five cohorts

BACKGROUND: This study aimed to assess associations of outdoor air pollution on prevalence of chronic bronchitis symptoms in adults in five cohort studies (Asthma-E3N, ECRHS, NSHD, SALIA, SAPALDIA) participating in the European Study of Cohorts for Air Pollution Effects (ESCAPE) project. METHODS: Annual average particulate matter (PM10, PM2.5, PMabsorbance, PMcoarse), NO2, nitrogen oxides (NOx) and road traffic measures modelled from ESCAPE measurement campaigns 2008-2011 were assigned to home address at most recent assessments (1998-2011). Symptoms examined were chronic bronchitis (cough and phlegm for ≥3 months of the year for ≥2 years), chronic cough (with/without phlegm) and chronic phlegm (with/without cough). Cohort-specific cross-sectional multivariable logistic regression analyses were conducted using common confounder sets (age, sex, smoking, interview season, education), followed by meta-analysis. RESULTS: 15 279 and 10 537 participants respectively were included in the main NO2 and PM analyses at assessments in 1998-2011. Overall, there were no statistically significant associations with any air pollutant or traffic exposure. Sensitivity analyses including in asthmatics only, females only or using back-extrapolated NO2 and PM10 for assessments in 1985-2002 (ECRHS, NSHD, SALIA, SAPALDIA) did not alter conclusions. In never-smokers, all associations were positive, but reached statistical significance only for chronic phlegm with PMcoarse OR 1.31 (1.05 to 1.64) per 5 µg/m(3) increase and PM10 with similar effect size. Sensitivity analyses of older cohorts showed increased risk of chronic cough with PM2.5abs (black carbon) exposures. CONCLUSIONS: Results do not show consistent associations between chronic bronchitis symptoms and current traffic-related air pollution in adult European populations

Grounded Language Interpretation of Robotic Commands through Structured Learning

The presence of robots in everyday life is increasing day by day at a growing pace. Industrial and working environments, health-care assistance in public or domestic areas can benefit from robots' services to accomplish manifold tasks that are difficult and annoying for humans. In such scenarios, Natural Language interactions, enabling collaboration and robot control, are meant to be situated, in the sense that both the user and the robot access and make reference to the environment. Contextual knowledge may thus play a key role in solving inherent ambiguities of grounded language as, for example, the prepositional phrase attachment. In this work, we present a linguistic pipeline for semantic processing of robotic commands, that combines discriminative structured learning, distributional semantics and contextual evidence extracted from the working environment. The final goal is to make the interpretation process of linguistic exchanges depending on physical, cognitive and language-dependent aspects. We present, formalize and discuss an adaptive Spoken Language Understanding chain for robotic commands, that explicitly depends on the operational context during both the learning and processing stages. The resulting framework allows to model heterogeneous information concerning the environment (e.g., positional information about the objects and their properties) and to inject it in the learning process. Empirical results demonstrate a significant contribution of such additional dimensions, achieving up to a 25% of relative error reduction with respect to a pipeline that only exploits linguistic evidence

An investigation of hybrid maps for mobile robots

Autonomous robots typically rely on internal representations of the environment, or maps, to plan and execute their tasks. Several types of maps have been proposed in the literature, and there is general consensus that different types have different advantages and limitations, and that each type is more suited to certain tasks and less to others. Because of these reasons, it is becoming common wisdom in the field of mobile robotics to use hybrid maps that integrate several representations, usually of different types. Hybrid maps provide scalability and multiple views, allowing for instance to combine robot-centered and human-centered representations. There is, however, little understanding of the general principles that can be used to combine different maps into a hybrid one, and to make it something more than the sum of its parts. There is no systematic analysis of the different ways in which different maps can be combined, and how they can be made to cooperate. This makes it difficult to evaluate and compare different systems, and precludes us from getting a clear understanding of how a hybrid map can be designed or improved. The investigation presented in this thesis aims to contribute to fill this foundational gap, and to get a clearer understanding of the nature of hybrid maps. To help in this investigation, we develop two tools: The first one is a conceptual tool, an analytical framework in which the main ingredients of a hybrid map are described; the second one is an empirical tool, a new hybrid map that allows us to experimentally verify our claims and hypotheses. While these tools are themselves important contributions of this thesis, our investigation has resulted in the following additional outcomes: • A set of concepts that allow us to better understand the structure and operation of hybrid maps, and that help us to design them, compare them, identify their problems, and possibly improve them; • The identification of the notion of synergy as the fundamental way in which component maps inside a hybrid map cooperate. To assess the significance of these outcomes, we make and validate the following claims: 1. Our framework allows us to classify and describe existing maps in a uniform way. This claim is validated constructively by making a thorough classification of the hybrid maps reported in the literature. 2. Our framework also allows us to enhance an existing hybrid map by identifying spots for improvement. This claim is verified experimentally by modifying an existing map and evaluating its performance against the original one. 3. The notion of synergy plays an important role in hybrid maps. This claim is verified experimentally by testing the performance of a hybrid map with and without synergy

Model-View-Presenter auf dem Desktop mit Embedded Browser und Java-Presenter

HTML, CSS und die modernen Browser werden immer leistungsfähiger. Um hiervon zu profitieren wird ein Rahmenwerk entwickelt, das die Erstellung von grafischen Benutzer-Oberflächen in Java-Desktop-Anwendungen mit eingebettetem Browser ermöglicht. Hierzu wird das DOM (Document Object Model) des eingebetteten Browsers der Java-Anwendung über eine DOM-Bridge zur Verfügung gestellt. Zur Evaluation des Rahmenwerks wird ein Prototyp erstellt. Dabei wird das Model-View-Presenter-Muster angewandt, um die Unabhängigkeit der in Java implementierten Präsentationslogik von der Oberflächen-Technologie zu gewährleisten

Phasing-out coal, reinventing European regions : an analysis of EU structural funding in four European coal regions ; final report

European coal mining regions face massive transformational challenges. The necessity of climate protection only intensifies a trend, prevalent in all of Europe: coal mining has been losing its economic importance over the last decades. Fewer and fewer people are employed in the sector. Coal regions face the challenge of how to facilitate a just transition, and which perspectives to develop for a future beyond coal. Against this background this study analyses the current situation in four key European coal mining regions, namely: Aragon in Spain, Lusatia in Germany, Silesia in Poland and Western Macedonia in Greece. The study provides a brief summary of the regions' socio-economic structure, including the respective role of coal mining. An assessment of how existing European structural instruments, specifically the European Structural and Investment Funds (the ESI Funds) are utilised in the region, forms the core of the study

Wohnflächeneffizienz und Wohnraumsuffizienz : wieviel Wohnung braucht der Mensch? ; Nachhaltige Nutzungs- und Organisationskonzepte in der Gemeinschaft

Seit Einführung der ersten Wärmeschutzverordnung in den 1970er Jahren als Antwort auf die Ölkrise sind die energetischen Anforderungen an Gebäude kontinuierlich gestiegen. Heute werden sie im Gebäudeenergiegesetz (GEG) geregelt, das aktuell erneut novelliert wird. Trotz dieser kontinuierlichen Verschärfungen der Anforderungen ist der Endenergiebedarf von Wohngebäuden in Deutschland in den letzten Jahrzehnten kaum gesunken. Ein wesentlicher Grund hierfür ist die ebenso kontinuierlich steigende Wohnfläche pro Person

Efficiency and sufficiency of residential space : how much room does a person need? ; Community-based approaches to sustainable use and organization

Since the introduction of Germany's first Thermal Insulation Ordinance in the 1970s in response to the oil crisis, requirements for the energy performance of buildings have consistently increased. Today, these are ruled by the German Building Energy Act, which is currently being amended. Despite this continuous tightening of regulations, the energy consumption in German housing has hardly decreased. The continuous increase in residential space per person is a significant reason for this

Some notes on the use of hybrid maps for mobile robotics

Hybrid maps are quickly becoming popular in the field of mobile robotic