Hagen am Teuteburger Wald, Germany
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Dietsche C.,FernUniversitaet in Hagen | Dietsche C.,Inter Industrial Materials Material Data Sheets MMDS Working Group | Mehlich F.P.,Justus Liebig University | Herrmann I.,Hewlett - Packard
2016 Electronics Goes Green 2016+, EGG 2016 | Year: 2016

This paper draws attention to unintended releases of chemical substances from solid materials and their impact on the human body and the environment in general. For example, such Substances of Very High Concern (SVHCs) include heavy metals, light metals, plasticisers and flame retardants. Specifically, the article focuses on releases associated with solid materials in electric/electronic (E/E) industries, e.g. in charging plugs and cables, in-cable control boxes, and wall chargers. The Phthalates, contained in such articles (e.g. DEHP, CAS 117-81-7) can pose health and environmental hazards and, we argue, they should be subject to control. Typically, the human body is exposed to such substances via frequent, prolonged skin exposure, while releases into the environment are less direct but nonetheless occur. This article identifies the legal and regulatory gaps in tracking hazardous substances of e-waste and discusses potential solutions for containing their unintended release. It proposes a preferred solution that focuses on tracking the various stages of the lifecycle of relevant products. © 2016 Fraunhofer.


Grant
Agency: European Commission | Branch: FP7 | Program: CP | Phase: ICT-2009.4.3 | Award Amount: 10.33M | Year: 2010

The goal of SMART VORTEX is to provide a technological infrastructure consisting of a comprehensive suite of interoperable tools, services, and methods for intelligent management and analysis of massive data streams to achieve better collaboration and decision making in large-scale collaborative projects concerning industrial innovation engineering.\n\nSMART VORTEX captures the tractable product data streams in the product lifecycle of design and engineering. In each phase of this lifecycle, different streams of product data are generated. Amongst other, these product data streams contain streams from sensors (data rates of Gigabytes per second), simulation, experimental, and testing data (millions of complex data sets), design data (complex and exchanged between different domains), multi-media collaboration data (heterogeneous, and high information density), and higher level inferred events generated by analyses. These data streams are produced and consumed in all phases of the product lifecycle. The large volume of data in these streams makes the detection of pertinent information a hard problem for both technological infrastructures and humans. SMART VORTEX uses a Data Stream Management for managing, searching, annotating, analysing and performing feature extraction on these data streams.\n\nWithin the lifecycle of design and engineering projects a large number of people need to collaborate in order to achieve the individual project goals, such as bringing the next generation flat panel TV to the market before the competition does, identifying opportunities for improvements of existing products, or the maintenance of products in use. These projects are basically large distributed collaborative processes, where people from different domains of expertise and different organizations have to work together. SMART VORTEX supports these people, systems, and products with collaborative tools and decision support systems managing the constantly produced massive product data streams. SMART VORTEX ensures the efficiency and success of the collaboration by delivering the pertinent information at the right moment.


Grant
Agency: European Commission | Branch: FP7 | Program: CP | Phase: FoF-ICT-2011.7.1 | Award Amount: 11.74M | Year: 2012

The production and ramp-up of complex and highly customized products are exceptionally challenging for planning and control, especially in small lot sizes. Daily challenges like late requests for change, immature high technology products and processes create significant risks. The occurring risks are bigger than production of big series such as automotive. Thus, new ICT-based approaches are required. The aim is to develop mitigation strategies to respond faster to unexpected events. Therefore the knowledge base has to be enriched for real-time decision support, to detect early warning and to accelerate learning. Our approach is based on a new generation of service orientated enterprise information platforms, a service orientated bus integrating service-based architecture and knowledge-based multi-agent systems (MAS). A holonic MAS combined with a service architecture will improve performance and scalability beyond the state of the art. The solution integrates multiple layers of sensors, legacy systems and agent-based tools for beneficial services like learning, quality, risk and cost management. Additionally the ecological footprints will be reduced. The ARUM solution will run in two modes: predictive and real time simulation. The predictive mode supports the planning phase whereas the real-time operations mode supports dynamic, time-, cost- and risk-oriented re-planning of operations. The provision of information for engineering to alter in case of immaturity or late requests for changes is supported equally. ARUM is strongly end-user driven and the results will be tested on three industrial use cases with a focus on aircraft, aircraft interiors and ship manufacturing. The solution will be validated in a real industrial environment by industrial partners and benchmarked against todays ICT solutions. In collaboration with universities a test-bed will be established for design and testing of ARUM systems and tools and will be opened for dissemination and demonstration.


Grant
Agency: European Commission | Branch: FP7 | Program: CP | Phase: ICT-2007.4.1 | Award Amount: 12.29M | Year: 2007

The aim of the SHAMAN Integrated Project is to investigate and develop a long-term next generation digital preservation (DP) framework and corresponding application solution environments for analysing, ingesting, managing, accessing and reusing information objects and data across libraries and archives, Three prototypical application solutions will be build on the basis of this framework environment will support the and trialling and validating of the result in scientific publishing, parliamentary archival, industrial design and engineering and finally experimentally also in scientific application domains. To achieve these goals SHAMAN is applying and utilising radically new and promising methods for supporting DP as the core of the approach. Within SHAMAN, the core functions are organized within the SHAMAN reference architecture. Utilizing this architecture the project will create a framework and application development environment supporting the creation of test-beds of Digital Preservation support infrastructures and services. The core services of the SHAMAN framework are constructed by integrating Data Grid (DG), Digital Library (DL), Persistent Archive (PA), Context Representation, Annotation, and Preservation (CRAP) as well as Deep Linguistic Analysis (DLA) and corresponding Semantic Representation and Annotation (SRA) technologies for simple and connected data types establishing, document, media, CAD, and scientific data, knowledge, and information collections. This will result in an unprecedented level of functionality and will lay the foundations for the long-term unification of knowledge preservation and analysis across domains within a distributed grid-based infrastructure.


Al-Rashedi N.,Fernuniversitaet in Hagen | Gerke M.,Fernuniversitaet in Hagen
Proceedings of the 2013 International Conference on Process Control, PC 2013 | Year: 2013

This paper proposed an On-line path planning algorithm for an autonomous airship based on the genetic algorithms. The airship assumed to be used in applications that consider existence of restricted environment and require the airship to fly few meters above the ground where there is a big possibility of collisions with obstacles. The proposed On-line path planner takes in consideration the detections of the unexpected obstacles, the changes in the environment conditions and the modifications on the mission goals. The On-line path planning has two processes: path recovery which is responsible to produce feasible paths to avoid collisions with obstacles. Path recalculation which is responsible to keeps the route of the airship as optimal as possible according to a certain optimization criteria. The experimental simulation tests of the proposed On-line path planning shows that it success to avoid obstacles and find alternative optimal routes in a reasonable time. © 2013 IEEE.


Meschke M.,FernUniversitaet in Hagen | Baumoel U.,FernUniversitaet in Hagen
ICIS 2010 Proceedings - Thirty First International Conference on Information Systems | Year: 2010

Value networks are one of the main forms of value creation today. Suppliers, manufacturers and customers form a dynamic collaboration structure. Networks and companies alike are always subject to external and internal influences which require changes in the way things are done. To make sure that the required changes take their intended effect, they have to be implemented on all levels of the enterprise architecture (EA). Research with respect to EA in value networks in the service industry (VNSI) is only in its beginnings. To understand the state of the art, we analyzed 88 papers with respect to the architecture layers in VNSI. Since we base on the fact that a successful introduction of change, e.g. new IT solutions, requires a holistic view on EA, we analyzed the papers according to their covering of the different levels of an EA. Our hypothesis is that most of the papers only cover very specific aspects without positioning their proposed solution in a holistic context. We propose a reference model based on a literature review as well as the results of the paper analysis. This reference model allows for a positioning of solutions in a holistic context and with that adds to a better basis for implementing change in VNSI.


Mo H.,South China University of Technology | Li Z.,FernUniversitaet in Hagen | Du Q.,South China University of Technology
IJCCI 2015 - Proceedings of the 7th International Joint Conference on Computational Intelligence | Year: 2015

In line with the theory of schema sampling, a hypothesis could be made that sufficient supply of loworder building blocks (BBs) was one of the necessary conditions for a genetic algorithm(GA) to work. A consequential question of this hypothesis regards, when a certain fitness function is optimized with a commonly used GA, whether it is rare or common that there are plenty of low-order BBs. It is remarked that, when a base-m encoded GA is applied to a fitness function that is linearly combined of sinusoidal basis functions with integral frequencies, it is unlikely to obtain order-1 BBs with fixed positions at multiple loci, i.e., it is rare that there are plenty of order-1 BBs. However, if a considerable part of the sinusoidal basis functions are with frequencies exponential to a positive integer m, a base-m encoding can provide relatively more order-1 BBs compared with the encodings with cardinalities other than m. Copyright © 2015 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.


Wilfling S.,FernUniversitaet in Hagen | Baumoel U.,FernUniversitaet in Hagen
17th Americas Conference on Information Systems 2011, AMCIS 2011 | Year: 2011

Enterprises act in an economic and social environment characterized by frequent changes. Due to this, for many enterprises the efficient and effective management of change projects is key factor for staying competitive. The resulting need for changes and the development of corresponding strategic, organizational or IT characteristics is a very complex task and depends very much on the ability mapping the information systems (IS), which is a socio-technical system, on the real world state of adaption. Therefore we introduce a meta model for enterprise modeling that extends existing approaches by proposing not only a set of entities describing the strategic and organizational fit as well as the IT fit but also relevant components to express the overall fit with the cultural and emotional characteristics of an IS. Helping designers of IS to comprehend the complex relations between the elements that need to be aligned we follow design science research.


Grant
Agency: European Commission | Branch: FP7 | Program: CSA | Phase: INFRA-2007-3.3;INFRA-2007-3.0-03 | Award Amount: 1.80M | Year: 2008

The FP7 e-Infrastructures initiative has already resulted in a number of projects being set-up or in negotiation covering a range of areas of scientific endeavour. The creation of virtual research communities brings together stakeholders with diverse backgrounds and capabilities. One consequence is a large diversity of approaches and there is as yet little consensus across these communities about best practices in maintaining permanent access to the records of science in a sustainable way. The purpose of this proposal is to work with providers and users of scientific information and repositories to deliver insight into the issues of sustainable permanent access and provide cross-fertilisation of ideas and requirements between providers and users, between the various sectors of interest they represent and between the research community as a whole and national/European funding agencies. There will be six key outcomes for the EU - it will provide: - a roadmap for the support e-infrastructure for long-term accessibility and usability of scientific and other digital information in Europe. - insight into current and planned research and development relating to e-infrastructures and permanent access, national, European and global, regardless of the funding mechanism identification of gaps in the existing and planned infrastructure and the research agenda the ability to share and capitalise on best practices as well as understanding the impact that e-Science is having on the research communities that it is serving, through an insight study into the capabilities and practices within the various research communities - better-informed investment decisions and sustainable e-repositories through an impact analysis framework and tool based on these insights - an international process for evaluating the sustainability and trustworthiness of digital repositories, and identifying best practice


Mo H.,South China University of Technology | Li Z.,FernUniversitaet in Hagen | Tian L.,South China University of Technology | Tian X.,South China University of Technology
International Journal of Computational Intelligence Systems | Year: 2015

Abstract: Encoding plays a key role in determining the optimization efficiency of a genetic algorithm. In the optimization of a continuous function, binary encodings are normally used due to their low coding-alphabet cardinalities. Nevertheless, from the viewpoint of building-block supply, it is remarked that a binary encoding is not necessarily the best choice to express a fitness function which is linearly combined of sinusoidal functions with frequencies exponential to a positive integer m when m is not equal to 2. It is proved that, if the frequencies are exponential to m, an encoding of cardinality m can provide a better supply of order-1 building blocks than the encodings of other cardinalities. Taking the advantage of building-block supplies, a genetic algorithm with an encoding of cardinality m has higher chance to find fitter solutions. This assumption is verified via a number of randomly generated fitness functions, and encodings with different cardinalities are compared according to the optimization performance of corresponding genetic algorithms on these fitness functions. The simulation results support the assumption, and show in the statistical sense that the genetic algorithm with an encoding of cardinality m outperforms those of the other cardinalities when the frequencies of the sinusoidal functions are exponential to m. © 2015,the authors.

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