Procurement and supplier diversity in the 2012 Olympics

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Politikrelevante Nachhaltigkeitsforschung : Anforderungsprofil für Forschungsförderer, Forschende und Praxispartner aus der Politik zur Verbesserung und Sicherung von Forschungsqualität - ein Wegweiser

Research aimed at helping to solve pressing societal problems must meet specific quality requirements: The knowledge it produces must not only be sound but also useable. This is particularly true of research that aims at bringing specific knowledge to bear on policy issues relating to sustainable development. This guide provides detailed actor-specific requirements profiles for this type of “policy relevant sustainability research.” This guide is aimed at research funding agencies and contracting entities, researchers themselves and policymakers1 who participate directly in the research process. It can be used both for cases where the research funding agency/contracting entity and the policymaker are different institutions or where they are identical. However, policy consulting by specialized agencies that do not perform original research is not addressed. The requirements profiles serve two functions. First of all, they should function as a guide for the three stakeholder groups, aiding them in their efforts to increase and ensure the quality of research processes and research outcomes. And, secondly, they should improve the reflexive communication among stakeholders regarding the means and the goals of research... The results presented here are part of a research and development project (Research Code Number: 3711 11 701) funded by the German Federal Ministry for the Environment, Nature Conservation and Nuclear Safety (BMU) and the German Federal Environment Agency (UBA). The project was carried out by the Institute for Social-Ecological Research (ISOE, project management), the Institute for Ecological Economy Research and the Environmental Policy Research Center for of the Freie Universität Berlin (FFU) (project duration: 09/2011-01/2013). The aim of the project was to develop concepts that can be used to increase the relevance of sustainability research for the design of environmental policy in Germany. In addition to the requirements profiles for a policy relevant sustainability research presented in this guide, recommendations, based on empirical studies, have been developed regarding how the coordination between different government departments with respect to funding such research can be optimized. The project's final report will be available starting March 2013 from the UBA.orschung, die einen unmittelbaren Beitrag zur Lösung drängender gesellschaft-licher Probleme leisten will, muss sich besonderen Qualitätsanforderungen stellen: Sie soll nicht nur gesichertes, sondern auch anwendbares Wissen bereithalten. Dies gilt besonders für Forschung, die darauf zielt, Politik in Fragen nachhaltiger Ent-wicklung mit spezifischem Wissen zu unterstützen. Für diesen Typ einer „politik-relevanten Nachhaltigkeitsforschung“ präsentiert der vorliegende Wegweiser ein detailliertes Anforderungsprofil. Der Wegweiser richtet sich an Förderer oder Auftraggeber einer solchen Forschung, an die Forschenden selbst und an Akteure aus der Politik1, die sich direkt an For-schungsprozessen beteiligen. Er kann dabei sowohl für den Fall genutzt werden, dass Forschungsförderer oder Auftraggeber und politische Praxispartner verschie-dene Institutionen sind, als auch für den Fall, dass sie identisch sind. Politische Beratung durch spezialisierte Agenturen, die keine eigene Forschung leisten, wird dagegen nicht adressiert. Die im Detail ausgearbeiteten Anforderungen haben zwei Funktionen. Sie sollen zum einen den drei genannten Akteursgruppen als Orientierung dienen, wie sie dazu beitragen können, die Qualität von Forschungsprozessen und Forschungs-ergebnissen zu erhöhen und zu sichern. Zum anderen sollen sie die reflexive Kommunikation zwischen den Akteuren über Mittel und Zwecke der Forschung verbessern.... Die hier vorgestellten Ergebnisse wurden im Rahmen eines vom Bundesministe-rium für Umwelt, Naturschutz und Reaktorsicherheit (BMU) und dem Umwelt-bundesamt (UBA) finanzierten Forschungs- und Entwicklungsvorhabens erarbeitet (Forschungskennzahl 3711 11 701). Das Vorhaben wurde vom Institut für sozial-ökologische Forschung (ISOE, Vorhabenleitung), dem Institut für ökologische Wirt-schaftsforschung (IÖW) und dem Forschungszentrum für Umweltpolitik der Freien Universität Berlin (FFU) durchgeführt (Laufzeit: 09/2011–01/2013). Ziel des Vorhabens war es, Konzepte zu entwickeln, mit deren Hilfe die Relevanz der Nachhaltigkeitsforschung für die Gestaltung von Umweltpolitik in Deutschland erhöht werden kann. Neben dem hier vorgestellten Anforderungsprofil für eine politikrelevante Nachhaltigkeitsforschung wurden auf Basis empirischer Erhebun-gen auch Empfehlungen erarbeitet, wie die Abstimmung zwischen verschiedenen Bundesressorts bei der Förderung von Nachhaltigkeitsforschung optimiert werden kann. Der Abschlussbericht des Vorhabens kann ab März 2013 über das UBA bezo-gen werden

"Selection of Input Parameters for Multivariate Classifiersin Proactive Machine Health Monitoring by Clustering Envelope Spectrum Harmonics"

In condition monitoring (CM) signal analysis the inherent problem of key characteristics being masked by noise can be addressed by analysis of the signal envelope. Envelope analysis of vibration signals is effective in extracting useful information for diagnosing different faults. However, the number of envelope features is generally too large to be effectively incorporated in system models. In this paper a novel method of extracting the pertinent information from such signals based on multivariate statistical techniques is developed which substantialy reduces the number of input parameters required for data classification models. This was achieved by clustering possible model variables into a number of homogeneous groups to assertain levels of interdependency. Representatives from each of the groups were selected for their power to discriminate between the categorical classes. The techniques established were applied to a reciprocating compressor rig wherein the target was identifying machine states with respect to operational health through comparison of signal outputs for healthy and faulty systems. The technique allowed near perfect fault classification. In addition methods for identifying seperable classes are investigated through profiling techniques, illustrated using Andrew’s Fourier curves

Enhanced Industrial Machinery Condition Monitoring Methodology based on Novelty Detection and Multi-Modal Analysis

This paper presents a condition-based monitoring methodology based on novelty detection applied to industrial machinery. The proposed approach includes both, the classical classification of multiple a priori known scenarios, and the innovative detection capability of new operating modes not previously available. The development of condition-based monitoring methodologies considering the isolation capabilities of unexpected scenarios represents, nowadays, a trending topic able to answer the demanding requirements of the future industrial processes monitoring systems. First, the method is based on the temporal segmentation of the available physical magnitudes, and the estimation of a set of time-based statistical features. Then, a double feature reduction stage based on Principal Component Analysis and Linear Discriminant Analysis is applied in order to optimize the classification and novelty detection performances. The posterior combination of a Feed-forward Neural Network and One-Class Support Vector Machine allows the proper interpretation of known and unknown operating conditions. The effectiveness of this novel condition monitoring scheme has been verified by experimental results obtained from an automotive industry machine.Postprint (published version

Remote real-time monitoring of subsurface landfill gas migration

The cost of monitoring greenhouse gas emissions from landfill sites is of major concern for regulatory authorities. The current monitoring procedure is recognised as labour intensive, requiring agency inspectors to physically travel to perimeter borehole wells in rough terrain and manually measure gas concentration levels with expensive hand-held instrumentation. In this article we present a cost-effective and efficient system for remotely monitoring landfill subsurface migration of methane and carbon dioxide concentration levels. Based purely on an autonomous sensing architecture, the proposed sensing platform was capable of performing complex analytical measurements in situ and successfully communicating the data remotely to a cloud database. A web tool was developed to present the sensed data to relevant stakeholders. We report our experiences in deploying such an approach in the field over a period of approximately 16 months

Thread Quality Control in High-Speed Tapping Cycles

Thread quality control is becoming a widespread necessity in manufacturing to guarantee the geometry of the resulting screws on the workpiece due to the high industrial costs. Besides, the industrial inspection is manual provoking high rates of manufacturing delays. Therefore, the aim of this paper consists of developing a statistical quality control approach acquiring the data (torque signal) coming from the spindle drive for assessing thread quality using different coatings. The system shows a red light when the tap wear is critical before machining in unacceptable screw threads. Therefore, the application could reduce these high industrial costs because it can work self-governance.This research was funded by the vice‐counseling of technology, innovation and competitiveness of the Basque Government grant agreements IT‐2005/00201, ZL‐2019/00720 (HARDCRAFT project) and KK‐2019/00004 (PROCODA project)