Endre søk
Begrens søket
1 - 31 of 31
RefereraExporteraLink til resultatlisten
Permanent link
Referera
Referensformat
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Treff pr side
  • 5
  • 10
  • 20
  • 50
  • 100
  • 250
Sortering
  • Standard (Relevans)
  • Forfatter A-Ø
  • Forfatter Ø-A
  • Tittel A-Ø
  • Tittel Ø-A
  • Type publikasjon A-Ø
  • Type publikasjon Ø-A
  • Eldste først
  • Nyeste først
  • Skapad (Eldste først)
  • Skapad (Nyeste først)
  • Senast uppdaterad (Eldste først)
  • Senast uppdaterad (Nyeste først)
  • Disputationsdatum (tidligste først)
  • Disputationsdatum (siste først)
  • Standard (Relevans)
  • Forfatter A-Ø
  • Forfatter Ø-A
  • Tittel A-Ø
  • Tittel Ø-A
  • Type publikasjon A-Ø
  • Type publikasjon Ø-A
  • Eldste først
  • Nyeste først
  • Skapad (Eldste først)
  • Skapad (Nyeste først)
  • Senast uppdaterad (Eldste først)
  • Senast uppdaterad (Nyeste først)
  • Disputationsdatum (tidligste først)
  • Disputationsdatum (siste først)
Merk
Maxantalet träffar du kan exportera från sökgränssnittet är 250. Vid större uttag använd dig av utsökningar.
  • 1.
    Bansal, Shubham
    et al.
    NEC Laboratories Europe, Heidelberg.
    Schmidt, Mischa
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Energy Disaggregation Methods for Commercial Buildingsusing Smart Meter and Operational data2017Inngår i: The Workshops of the Thirty-First AAAI Conference on Artificial Intelligence: Artificial Intelligence for Smart Grids and Smart Buildings, AI Access Foundation , 2017, s. 325-329Konferansepaper (Fagfellevurdert)
    Abstract [en]

    One of the key information pieces in improving energy efficiency of buildings is the appliance level breakdown of energy consumption. Energy disaggregation is the process of obtaining this breakdown from a building level aggregate data using computational techniques. Most of the current research focuses on residential buildings, obtaining this information from a single smart meter and often relying on high frequency data. This work is directed at commercial buildings equipped with building management and automation systems providing low frequency operational and contextual data. This paper presents a machine learning method to disaggregate energy consumption of the building using this operational data as input features. Experimental results on two publicly available datasets demonstrate the effectiveness of the approach, which surpasses existing methods. For all but one appliance of House 2 of the publicly available REDD dataset, improvements in normalized error in assigned power range between 20% (Lighting) and 220% (Stove). For another dataset from an educational facility in Singapore, disaggregation accuracy of 92% is reported for the facility’s cooling system.

  • 2.
    Bauer, Martin
    et al.
    NEC Laboratories Europe.
    Dobre, Dan
    NEC Laboratories Europe.
    Santos, Nuno
    NEC Laboratories Europe.
    Schmidt, Mischa
    NEC Laboratories Europe, NEC Europe Ltd., Heidelberg.
    Scalable Processing of Geo-tagged Data in the Cloud2012Inngår i: NEC Technical Journal, ISSN 1880-5884, Vol. 7, nr 2, s. 97-101Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    The explosive growth of the mobile internet calls for scalable infrastructures capable of processing large amounts of mobile data with predictable response times. We have developed a scalable system supporting continuous geoqueries over geo-tagged data streams in the cloud. The experimental results confirm that our system scales, both in the number of supported geo-queries and throughput.

  • 3.
    Bohli, Jens-Mathias
    et al.
    NEC Laboratories Europe.
    Kurpatov, Roman
    NEC Laboratories Europe.
    Schmidt, Mischa
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Selective Decryption of Outsourced IoT Data2015Inngår i: 2015 IEEE 2nd World Forum on Internet of Things (WF-IoT): Milan, Italy, 14-16 Dec, 2015, Piscataway, NJ: IEEE Communications Society, 2015, s. 739-744Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Outsourcing of IoT-data is a common concept when using third-party services, e.g. an external building management service is given access to the building's sensor measurements. However, the measurements captured from building systems often need to be protected from unauthorized access, because they are linked to persons, processes or business secrets, and therefore data protection requirements apply. Nevertheless, due to the large data volumes, external storage is desirable from a business perspective. We propose the concept of a Security Broker based on symmetric encryption schemes. It offers a key management scheme to flexibly create short decryption keys for time intervals or specific ranges of measurement values. We further show how the scheme can be generalized or a combination of the schemes can be applied. We implemented a prototype in Java and analyzed its performance. The evaluation proved the mechanism's applicability for mainstream applications running on off-the-shelf computing equipment.

  • 4.
    Cano, María Victoria Moreno
    et al.
    Computer Science Faculty, University of Murcia.
    Gomez, Antonio Fernando Skarmeta
    Computer Science Faculty, University of Murcia.
    Venturi, Alberto
    NEC Laboratories Europe.
    Schmidt, Mischa
    NEC Laboratories Europe.
    Schülke, Anett
    NEC Laboratories Europe.
    Context Sensitive Indoor Temperature Forecast for Energy Efficient Operation of Smart Buildings2015Inngår i: 2015 IEEE World Forum on Internet of Things (WF-IoT) (WF-IoT 2015), Piscataway, NJ: IEEE Communications Society, 2015, s. 705-710Kapittel i bok, del av antologi (Fagfellevurdert)
    Abstract [en]

    This paper analyzes the potential of knowledge discovery from sensed data, which enables real-time systems monitoring, management, prediction and optimization in smart buildings. State of the art data driven techniques generate predictive short-term indoor temperature models based on real building data collected during daily operation. The most accurate results are achieved by the Bayesian Regularized Neural Network technique. Our results show that we are able to achieve a low relative predictive error for each room temperature in the range of 1.5% - 2.8% with low standard deviation of the residuals.

  • 5.
    Floeck, Martin
    et al.
    NEC Europe Ltd.
    Schülke, Anett
    NEC Europe Ltd.
    Schmidt, Mischa
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap. NEC Europe Ltd.
    Hernandez, Jose Luis
    NEC Europe Ltd.
    Martin Toral, Susana
    CARTIF Centro Tecnólogico.
    Valmaseda, Cesar
    CARTIF Centro Tecnólogico.
    A novel approach towards tight integration of existing building automation control systems for improved energy management and resource utilisation2013Konferansepaper (Fagfellevurdert)
    Abstract [en]

    This paper presents interim results of the currently ongoing "Building as a Service" (BaaS) EU project. The BaaS project aims at optimising energy performance of non-residential buildings, e.g. schools, universities, hotels, shopping centres, or sports facilities.

    An ICT platform is being developed that integrates IT systems that already exist in infrastructure assets with new IT components delivering novel functionalities extending the performance assessment of buildings. The former include building management systems (BMSs), access control systems, or systems providing weather data. The latter are mostly concerned with the assessment, prediction, and optimisation (APO) of energy usage and modelling. The IT infrastructure systems and APO services are linked by an integration middleware. The main features of this middleware are standardised interfaces via which all communication between the components of the system is routed. Functioning and characteristics of the middleware and its interfaces will be explained in the present paper.

  • 6.
    Floeck, Martin
    et al.
    NEC Europe Ltd..
    Schülke, Anett
    NEC Europe Ltd..
    Schmidt, Mischa
    NEC Europe Ltd..
    Hernández, José Luís Pérez
    CARTIF Centro Tecnólogico, 47151 Boecillo (Valladolid).
    Toral, Susana Martín
    CARTIF Centro Tecnólogico, 47151 Boecillo (Valladolid).
    Valmaseda, César
    CARTIF Centro Tecnólogico, 47151 Boecillo (Valladolid).
    Tight integration of existing building automation control systems for improved energy management and resource utilisation2013Inngår i: CESB 2013 PRAGUE: Central Europe Towards Sustainable Building 2013 : Sustainable Building and Refurbishment for Next Generations, Prague, Czech Republic, 26 - 28 June 2013, Prague: Czech Technical University in Prague , 2013, s. 51-54Konferansepaper (Fagfellevurdert)
    Abstract [en]

    This paper presents interim results of the currently ongoing Building as a Service (BaaS) EU project. The BaaS project aims at optimising energy performance of non-residential buildings, e.g. schools, universities, hotels, shopping centres, or sports facilities. An ICT platform is being developed that integrates IT systems that already exist in infrastructure assets with new IT components delivering novel functionalities extending the performance assessment of buildings. The former include building management systems (BMSs), access control systems, or systems providing weather data. The latter are mostly concerned with the assessment, prediction, and optimisation (APO) of energy usage and modelling. The IT infrastructure systems and APO services are linked by an integration middleware. The main features of this middleware are standardised interfaces via which all communication between the components of the system is routed. Functioning and characteristics of the middleware and its interfaces will be explained in the present paper

  • 7.
    Islam, Raihan Ul
    et al.
    NEC Europe.
    Schmidt, Mischa
    NEC Europe Ltd..
    Kolbe, Hans-Joerg
    NEC Europe.
    Andersson, Karl
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Nomadic mobility between smart homes2012Inngår i: Proceedings of the 2012 IEEE Globecom Workshops (GC Wkshps), IEEE Communications Society, 2012, s. 1062-1067Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Powerful, user-friendly mobile devices and cost-efficient wireless access technologies have lately changed the landscape for smart home environments to a large extent. Developments in the media landscape with large flat screens, new capturing devices, and large digital media libraries have also changed the way smart home environments are used. This paper presents and evaluates an architecture for nomadic mobility in such environments where end-users, by authenticating their terminals with a node in the home or visited environment using the infrastructure provided by the operator, easily can gain access to various types of resources at home while roaming to other people's home networks.

  • 8.
    Islam, Raihan Ul
    et al.
    NEC Europe Ltd..
    Schmidt, Mischa
    NEC Europe Ltd..
    Kolbe, Hans-Joerg
    NEC Europe Ltd..
    Andersson, Karl
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap. Luleå tekniska universitet, Institutionen för system- och rymdteknik, CDT.
    Secure and scalable multimedia sharing between smart homes2014Inngår i: Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications, ISSN 2093-5374, E-ISSN 2093-5382, Vol. 5, nr 3, s. 79-93, artikkel-id 6Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    The smartphone revolution together with cost-efficient wireless access technologies have lately changed the landscape for smart home environments to a large extent. Moreover, large flat screens, new capturing devices, and large digital media libraries have also changed the way smart home environments are used. We present and evaluate an architecture for multimedia sharing in such environments. End-users can, by authenticating their terminals with a node in the home or visited environment easily gain access to various types of resources at home while roaming to other people's home networks. This is achieved by using the infrastructure provided by the operator.

  • 9.
    Kurpatov, Roman
    et al.
    NEC Laboratories Europe.
    Schmidt, Mischa
    NEC Laboratories Europe, NEC Europe Ltd., Heidelberg.
    Schulke, Anett
    NEC Laboratories Europe.
    Enabling complex building energy visualization by integrative event-driven data provisioning2015Inngår i: 2015 International Conference and Workshops on Networked Systems (NetSys): Cottbus, 9-12 March 2015, Piscataway, NJ: IEEE Communications Society, 2015Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Constantly increasing energy efficiency requirements for buildings call for top-quality systems and services for optimizing the building energy life cycle. The deep integration of ICT systems in heterogeneous building environment demands new approaches, advanced technical algorithms and sophisticated tools. In this paper we introduce our Intelligent Energy Management Platform (INTELLEM), an integrative solution for monitoring, analyzing and visualizing energy performance across multiple buildings. We verified our architectural approach by implementing a prototype capturing real data streams of considerable volume over a prolonged period of time, proving that our event-driven approach ensures the responsiveness of the whole system. We implemented a rich Web-interface for visualization, comprising a set of components for comprehensive analysis of building energy performance.

  • 10.
    Macek, Karel
    et al.
    Honewell ACS Global Labs, Prague.
    Rovas, Dimitrios
    Technical University of Crete.
    Schmidt, Mischa
    NEC Laboratories Europe, NEC Europe Ltd., Heidelberg.
    Valmaseda, Cesar
    Cartif, Parque Tecnológico de Boecillo.
    Holistic optimization of HVAC systems vid distributed data-driven control2014Inngår i: Proceedings of the International Conference on Intelligent Systems and Agents, International Association for Development, IADIS , 2014Konferansepaper (Fagfellevurdert)
    Abstract [en]

    n the present paper, the control design of Heating, Ventilation and Air Conditioning (HVAC) systems is investigated. In large-scale buildings – e.g. hotels or hospitals – the high dimension of the control design problem precludes a solution with reasonable computational effort. In this paper, a distributed control strategy is proposed, where interacting agents are operating sub-systems; interaction between these agents can ensure that an optimum solution can be obtained. A novel method to distributed control is introduced based on data-driven modeling where the strategy is not based on explicit optimization, but on weighted learning of the control rules; two examples of the addressed system are formulated. A significant advantage of the proposed approach consists in minimal assumptions on the addressed system and the most significant disadvantage is the need of sufficiently rich data-sets.

  • 11. Papageorgiou, Apostolos
    et al.
    Schmidt, Mischa
    NEC Laboratories Europe, NEC Europe Ltd., Heidelberg.
    Song, JaeSeung
    Sejong University, Department of Computer and Information Security, Gwangjin-Gu, Seoul.
    Kami, Nobuharu
    NEC Corporation, 1753 Shimonumabe, Nakahara-ku, Kawasaki.
    Efficient filtering processes for machine-to-machine data based on automation modules and data-agnostic algorithms2014Inngår i: International Journal of Business Process Integration and Management, ISSN 1741-8763, E-ISSN 1741-8771, Vol. 7, nr 1, s. 73-86Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Machine-to-machine (M2M) platforms are evolving as large-scale multi-layer solutions that unify the access and the control of all devices that are being equipped with the capability to perform automated tasks and to report data based on connectivity to a backend system. As the integration of more and more devices in such platforms results in the need to handle big M2M data, M2M platforms need to automate their configuration and include appropriate data filtering frameworks and algorithms. Otherwise, the collected raw data canbecome expensive, unmanageable, and of low quality. This paper presents how data filtering processes can be automated as part of an M2M self-configuration framework and describes a solution that enables the seamless adjustment of domain-specific filtering thresholds in domain-agnostic platforms, based on quality-of-information calculations and M2M-specific data categorisation. An evaluation from the facilities-monitoring domain shows that our approach was the only one to achieve, for example, forwarding less than 25% of the monitored data maintaining at the same time a coverage ratio bigger than 50% for all considered applications. Further, a projection of this evaluation to a Smart City scale indicates that such gains can makedatabase queries up to many seconds faster.

  • 12.
    Papageorgiou, Apostolos
    et al.
    NEC Laboratories Europe.
    Schmidt, Mischa
    NEC Laboratories Europe, NEC Europe Ltd., Heidelberg.
    Song, JaeSeung
    NEC Laboratories Europe.
    Kami, Nobuharu
    NEC Corporation, Tokyo.
    Smart M2M Data Filtering Using Domain-Specific Thresholds in Domain-Agnostic Platforms2013Inngår i: 2013 IEEE International Congress on Big Data: proceedings : 27 June-2 July 2013, Santa Clara, California, Los Alamitos, Calif: IEEE Communications Society, 2013, s. 286-293Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Due to the demand for homogeneous, intelligent, and automated access to data measured anywhere and from any device, Machine-to-Machine (M2M) platforms are evolving as globally-intended multi-layer solutions that provide such access, abstracting from all technology-specific tasks. In order to preserve the stability of their potentially huge data-handling systems and the usefulness of their Big Data, M2M platforms must maintain some data selection and filtering logic. A challenge that appears in modern M2M platforms is related to the decoupling of the front end (devices, area networks) from the backend (applications, databases). Because of this decoupling, domain-specific tricks cannot be applied any more for filtering at the front end. This paper presents a solution using domain-specific filtering thresholds in a domain-agnostic platform, as well as filtering flows and algorithms tailored to modern M2M platforms. Their combination assembles the first filtering solution that supports the unified handling of heterogeneous filters. In an evaluation from the utility-monitoring domain, instances of our approach showed high efficiency of configuration and were the only ones to achieve, for example, forwarding less than 25% of the captured data maintaining a coverage ratio bigger than 50% for all considered applications.

  • 13.
    Schmidt, Mischa
    NEC Laboratories Europe, NEC Europe Ltd., Heidelberg.
    An Overview of IPTV and Video Services2011Inngår i: Advances in Next Generation Services and Service Architectures, River Publishers, 2011, s. 177-196Kapittel i bok, del av antologi (Fagfellevurdert)
    Abstract [en]

    This chapter provides an overview of IPTV and Video Services in managedand unmanaged IP networks. For this, it first separates IP based services fromthe traditional TV and Video services. This separation is intended to draw theawareness to the commonalities and the differences of both approaches. Italso introduces an understanding of the new capabilities implied by deliveringTV and Video services over IP based networks. To build a common understanding of the innovative services in the IP based environment, a collection of typical IPTV and Video services discussed in the industry is presented afterwards.Subsequently, we discern managed from unmanaged IP networks for providingIP based TV and Video services. Here the effects on IPTV and VideoServices of both network models are discussed: their potentials, benefits andadvantages as well as their shortcomings, threats and challenges. For themanaged network approach a dedicated section to sketch the two main architectural approaches to IPTV services currently discussed in the industry isintroduced: IMS-based IPTV and non-IMS based IPTV. This section leads toan understanding of their main differences and the implication of using oneor the other.In conclusion of this chapter, the most prominent obstacles for the risingIPTV and Video Services are summarized. Here we also describe the conceptof hybrid approaches mixtures between traditional broadcasting and IP servicesthat are investigated at present in the industry to address some of thechallenges mentioned earlier in this chapter.

  • 14.
    Schmidt, Mischa
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap. NEC Laboratories Europe.
    EVOX-CPS: A Methodology For Data-Driven Optimization Of Building Operation2018Doktoravhandling, med artikler (Annet vitenskapelig)
    Abstract [en]

    Existing building stock’s energy efficiency must improve due to its significant proportion of the global energy consumption mix. Predictive building control promises to increase the efficiency of buildings during their operational phase and thus lead to a reduction of the lion’s share of buildings’ lifetime energy consumption. Predictive control complements other means to increase performance, such as refurbishments as well as modernization of systems.

    This thesis contributes EVOX-CPS, a holistic methodology to develop data-driven predictive control for (existing) buildings and deploy the control in day-to-day use. EVOX-CPS evolves buildings into Cyber-Physical Systems and addresses the development of data-driven predictive control using computational methods. The thesis’ focus rests on accounting for the situation of existing buildings - which vary greatly regarding their physical characteristics, usage patterns, system installation, and instrumentation levels. The methodology addresses the aspect of building stock variety with its capability to flexibly adapt to different buildings’ characteristics, e.g., by supporting the integration of varying levels of pre-existing building instrumentation. Furthermore, EVOX-CPS supports using different data mining, regression, or control techniques (i) to strengthen the support for a variety of buildings, and (ii) to cater to researchers’ and practitioners’ differing skills, experiences, or preferences concerning different data analysis techniques. Through its flexibility, the methodology addresses a vast potential installation base and lowers the barriers for adoption in day-to-day use, e.g., by being able to leverage prior investments in building instrumentation and supporting different data-analysis techniques. At the same time, EVOX-CPS provides researchers and practitioners with comprehensive guidance relevant to their daily work. Besides, EVOX-CPS supports addressing a building’s known limitations in the daily operation, e.g., uncomfortable indoor conditions.

    The experimentation in two real buildings validates the effectiveness of EVOX-CPS’ data-driven control with high reliability due to prolonged experimentation periods combined with applying energy normalization and inferential statistics. The experiments during routine heating system operation establish high confidence in the recorded effect sizes: the improvements in operational efficiency are profound and statistically significant. More specifically, the experiments of controlling the grass heating system of the soccer stadium Commerzbank Arena, Frankfurt, Germany, in two winters saved up to 66% (2014/2015) and 85% (2015/2016) of energy consumption. Extrapolation to an average heating season leads to expected savings of 775 MWh (148 t of CO2 emissions) and 1 GWh (197 t CO2), respectively. The experiments also show that EVOX-CPS allowed alleviating the known operational limitation of heating supply shortages which required nightly preheating in the stadium’s standard operating procedures. In another set of experiments, we applied the methodology to control the heating system of the Sierra Elvira School in Granada, Spain. The experimentation occurred during the regular class hours of 43 school days in winter 2015/2016. A first experiment demonstrated the possibility to lower consumption by one-third while maintaining indoor comfort. Another experiment raised average indoor temperatures by 2K with 5% additional energy consumption. Again, that illustrates EVOX-CPS’ capability to address a building’s known operational issues.

  • 15.
    Schmidt, Mischa
    NEC Laboratories Europe, NEC Europe Ltd., Heidelberg.
    IMS Based IPTV: ETSI TISPAN Standards Applied2009Inngår i: Proceedings of the 5th International ICST Mobile Multimedia Communications Conference, ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering) , 2009, s. 55:1-55:4Kapittel i bok, del av antologi (Fagfellevurdert)
    Abstract [en]

    This paper summarizes IMS based IPTV as defined in ETSI TISPAN Release 2 as well as the potential enhancements being added in Release 3 at the time of writing. After an introduction to the use cases and to TISPAN NGN standardization, the different aspects, such as Service Discovery, User Profiles and the underlying signaling concepts are discussed. Furthermore this paper provides links to other ongoing standardization work of ETSI TISPAN e.g. in the area of Content Delivery Networks, Content Distribution (ETSI MCD) as well as in the area of the evolution of Home Networks. This paper can be considered a guide to the IMS based IPTV as defined in ETSI TISPAN specifications of Releases 2 and 3, a solution that allows service providers to build their service offerings using standardized Network platforms

  • 16.
    Schmidt, Mischa
    et al.
    NEC Europe Laboratories.
    Abbadessa, Daniele
    NEC Europe Laboratories.
    Felis, Sebastian
    NEC Europe Laboratories.
    Enriching IMS based IPTV with Virtual Identity Management: Experiences2007Konferansepaper (Annet vitenskapelig)
  • 17.
    Schmidt, Mischa
    et al.
    NEC Laboratories Europe, NEC Europe Ltd., Heidelberg.
    Lamparter, Bernd
    NEC Laboratories Europe.
    Schmid, Stefan
    NEC Laboratories Europe.
    Voice Call Continuity: A Critical Step Towards All-IP Based Next Generation Networks2008Inngår i: IEEE GLOBECOM 2008, Global Telecommunications Conference,: New Orleans, Nov. 30 2008-Dec. 4 2008, Piscataway, NJ: IEEE Communications Society, 2008, s. 1-5Konferansepaper (Fagfellevurdert)
    Abstract [en]

    The recent developments in the fixed and mobile telecommunication industry, namely the rapid penetration of broadband access and new charging models in the broadband market in conjunction with the success of wireless local area networks and the general trend of fixed and mobile convergence, are transforming the telecommunication landscape. One of the main challenges is to integrate the fixed and mobile technologies in a way that leverages the strengths of different technologies and improves the service experience for the end user. A crucial step for this transformation is to provide adequate support for users to seamlessly switch between network domains and technologies. The main contribution of this paper is a solution that allows a mobile terminal to change from the mobile radio access to the fixed/cable access provided over a local wireless network or vice versa without disrupting an active ongoing voice call. The implementation of the proposed solution was tested and evaluated in an experimental network with real voice calls.

  • 18.
    Schmidt, Mischa
    et al.
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap. NEC Laboratories Europe, Heidelberg.
    Moreno, M. Victoria
    Research Institute of Energy and Environment of Heidelberg (ifeu), Germany.
    Schülke, Anett
    NEC Laboratories Europe, Heidelberg, Germany.
    Macek, Karel
    Honeywell ACS Global Labs, Prague, Czech Republic.
    Mařik, Karel
    Honeywell ACS Global Labs, Prague, Czech Republic.
    Pastor, Alfonso Gordaliza
    Department of Technical Studies, Veolia Servicios LECAM, Valladolid, Spain.
    Optimizing legacy building operation: the evolution into data-driven predictive cyber-physical systems2017Inngår i: Energy and Buildings, ISSN 0378-7788, E-ISSN 1872-6178, Vol. 148, s. 257-279Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Fossil fuels serve a substantial fraction of global energy demand, and one major energy consumer is the global building stock. In this work, we propose a framework to guide practitioners intending to develop advanced predictive building control strategies. The framework provides the means to enhance legacy and modernized buildings regarding energy efficiency by integrating their available instrumentation into a data-driven predictive cyber-physical system. For this, the framework fuses two highly relevant approaches and embeds these into the building context: the generic model-based design methodology for cyber-physical systems and the cross-industry standard process for data mining. A Spanish school's heating system serves to validate the approach. Two different data-driven approaches to prediction and optimization are used to demonstrate the methodological flexibility: (i) a combination of Bayesian regularized neural networks with genetic algorithm based optimization, and (ii) a reinforcement learning based control logic using fitted Q-iteration are both successfully applied. Experiments lasting a total of 43 school days in winter 2015/2016 achieved positive effects on weather-normalized energy consumption and thermal comfort in day-to-day operation. A first experiment targeting comfort levels comparable to the reference period lowered consumption by one-third. Two additional experiments raised average indoor temperatures by 2 K. The better of these two experiments only consumed 5% more energy than the reference period. The prolonged experimentation period demonstrates the cyber-physical system-based approach's suitability for improving building stock energy efficiency by developing and deploying predictive control strategies within routine operation of typical legacy buildings.

  • 19.
    Schmidt, Mischa
    et al.
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap. NEC Laboratories Europe, NEC Europe Ltd., Heidelberg.
    Schulke, Anett
    NEC Laboratories Europe, NEC Europe Ltd., Heidelberg.
    Venturi, Alberto
    NEC Laboratories Europe, NEC Europe Ltd., Heidelberg.
    Kurpatov, Roman
    NEC Laboratories Europe, NEC Europe Ltd., Heidelberg.
    Energy Efficiency Gains in Daily Grass Heating Operation of Sports Facilities through Supervisory Holistic Control2015Inngår i: Buildsys'15: 2nd ACM International Conference on Embedded Systems for Energy-Efficient Built, New York: ACM Digital Library, 2015, s. 85-94Konferansepaper (Fagfellevurdert)
    Abstract [en]

    In recent reflections on environmental impacts of buildings, medium to large scale sports stadiums have gained substantial attention. These stadiums of e.g. professional soccer teams are characterized by special system installations like grass heating systems serving the crucial commercial asset(s) and by event-driven usage patterns. Public buildings of this size imply situation-specific operational modes combined with high levels of safety and comfort requirements. In this paper we provide experimental verification of the energy savings potential of a professional soccer stadium's grass heating system during day-to-day operation. Our supervisory holistic control based on state of the art information and communication technology (ICT) is verified by seven experiments which we executed within the real operational setup of the Commerzbank Arena in Frankfurt, Germany. Our experiments operated different control strategies of increasing complexity. In winter 2014/2015 we achieved weather normalized energy savings of more than 56% compared to the last heating season. In an average heating season this would amount to savings of approximately 780 MWh and 150 t CO2$. At the same time we violated minimum temperature targets less than 6% of the time. These results stress the feasibility and benefits of applying holistic context-aware control strategies to large scale legacy consumption systems using supervisory ICT platforms. We demonstrate significant efficiency improvements and establish a new energy baseline that future control strategy evolutions will have to benchmark against.

  • 20.
    Schmidt, Mischa
    et al.
    NEC Laboratories Europe, NEC Europe Ltd., Heidelberg.
    Schulke, Anett
    NEC Europe Ltd..
    Venturi, Alberto
    NEC Europe Ltd..
    Kurpatov, Roman
    NEC Europe Ltd..
    Predictability of energy characteristics for cooling, ventilation and heating systems in sports facilities2015Inngår i: I2015 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference (ISGT): Washington, DC , 18-20 Feb 2015, Piscataway, NJ: IEEE Communications Society, 2015Konferansepaper (Fagfellevurdert)
    Abstract [en]

    In this paper we analyze operational energy data of the cooling, ventilation and heating systems of the professional soccer stadium Commerzbank Arena in Frankfurt, Germany. We analyze data collected over a six month period in 2014 statistically and show that depending on the stadium's operational context consumption patterns vary largely among the different systems resulting in very different behaviors. The results provide insights into what drives the energy consumption for different systems of a large commercial sports facility: the static heating system is purely dependent on outside air temperature, ventilation exhibits a pronounced daily consumption pattern irrespective of the temperature and cooling is driven by a combination of event operation and air temperature. These insights will allow us to predict, plan and balance the energy demands of different subsystems more accurately, resulting in energetic improvements of the stadium operation in the form of load shedding while maintaining the systems' service levels.

  • 21.
    Schmidt, Mischa
    et al.
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap. NEC Laboratories Europe.
    Schülke, Anett
    NEC Laboratories Europe.
    Venturi, Alberto
    NEC Laboratories Europe.
    Kurpatov, Roman
    NEC Laboratories Europe.
    Henríquez, Enrique Blanco
    NEC Laboratories Europe.
    Cyber-Physical System For Energy Efficient Stadium Operation: Methodology And Experimental Validation2018Inngår i: ACM Transactions on Cyber-Physical Systems, ISSN 2378-962X, Vol. 2, nr 4, artikkel-id 25Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    The environmental impacts of medium to large scale buildings receive substantial attention in research,industry, and media. This paper studies the energy savings potential of a commercial soccer stadium duringday-to-day operation. Buildings of this kind are characterized by special purpose system installations likegrass heating systems and by event-driven usage patterns. This work presents a methodology to holisticallyanalyze the stadium’s characteristics and integrate its existing instrumentation into a Cyber-PhysicalSystem, enabling to deploy different control strategies flexibly. In total, seven different strategies for controllingthe studied stadium’s grass heating system are developed and tested in operation. Experiments inwinter season 2014/2015 validated the strategies’ impacts within the real operational setup of the CommerzbankArena, Frankfurt, Germany. With 95% confidence, these experiments saved up to 66% of mediandaily weather-normalized energy consumption. Extrapolated to an average heating season, this correspondsto savings of 775 MWh and 148 t of CO2 emissions. In winter 2015/2016 an additional predictive nighttimeheating experiment targeted lower temperatures, which increased the savings to up to 85%, equivalent to1 GWh (197 t CO2) in an average winter. Beyond achieving significant energy savings, the different controlstrategies also met the target temperature levels to the satisfaction of the stadium’s operational staff. Whilethe case study constitutes a significant part, the discussions dedicated to the transferability of this workto other stadiums and other building types show that the concepts and the approach are of general nature.Furthermore, this work demonstrates the first successful application of Deep Belief Networks to regress andpredict the thermal evolution of building systems.

  • 22.
    Schmidt, Mischa
    et al.
    NEC Laboratories Europe, NEC Europe Ltd., Heidelberg.
    Seedorf, Jan
    NEC Laboratories Europe.
    Napolitano, Stefano
    NEC Laboratories Europe.
    Garroppo, Rosario G.
    University of Pisa.
    Cavaliere, Andrea
    University of Pisa.
    Ewald, Thilo
    T-Systems, Stuttgart.
    Jahanpanah, Armin
    NEC Laboratories Europe.
    Kopertowski, Zbigniew
    Telekomunikacja Polska.
    Pilarski, Marcin
    Organization Warsaw University of Technology.
    Grochocki, Pawel
    Telekomunikacja Polska.
    Experiences with large-scale operational trials of ALTO-enhanced P2P filesharing in an intra-ISP scenario2013Inngår i: Peer-to-Peer Networking and Applications, ISSN 1936-6442, E-ISSN 1936-6450, Vol. 6, nr 2, s. 134-154Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Application Layer Traffic Optimization (ALTO) has recently gained attention in the research and standardisation community as a way for a network operator to guide the peer selection process of distributed applications by providing network layer topology information. In particular P2P applications are expected to gain from ALTO, due to the many connections peers form among each other, often without taking network layer topology information into account. In this paper, we present results of an extensive intra-ISP trial with an ALTO-enhanced P2P filesharing software. In summary, our results show that—depending on the concrete setting and on the distribution of upload capacity in the network—ALTO enables an ISP to save operational costs significantly while not degrading application layer performance noticeably. In addition, based on our experience we are able to give advice to operators on how to save costs with ALTO while not sacrificing application layer performance at all.

  • 23.
    Schmidt, Mischa
    et al.
    NEC Laboratories Europe, NEC Europe Ltd., Heidelberg.
    Venturi, Alberto
    NEC Laboratories Europe.
    Schülke, Anett
    NEC Laboratories Europe.
    Kurpatov, Roman
    NEC Laboratories Europe.
    The Energy Efficiency Problematics in Sports Facilities: Identifying Savings in Daily Grass Heating Operation2015Inngår i: Proceedings of the ACM/IEEE Sixth International Conference on Cyber-Physical Systems, New York: ACM Digital Library, 2015, s. 189-197Konferansepaper (Fagfellevurdert)
    Abstract [en]

    Recently, reflections on modern sports stadiums' environmental impacts have gained substantial attention. Large-scale stadiums of e.g. professional soccer teams are characterized by having installations of grass heating systems serving the crucial commercial asset and at the same being the sub-system with the highest yearly thermal energy consumption. Public buildings of this size imply situation-specific operational modes combined with high levels of safety and comfort requirements. In this paper we provide a first study on the energy savings potential of a professional soccer stadium's grass heating system during day-to-day operation. In practice, limited heating capacities of the arena have to be adhered to, which causes the current operation to often result in under-performance of other, less critical facility units. Our analysis of dynamic operational and contextual data serves as foundation for long-term energy efficiency measures. We study relevant parameters related to the current control schemes and the stadium's context. Concretely, the grass root temperature as critical observable is studied with respect to weather conditions and the resulting thermal behavior. We provide an improved control strategy and quantify the anticipated savings of this strategy to be as high as 34% compared to the last heating season. For the future, the documented thermal characteristics will enable the formulation of more advanced control strategies to positively influence the grass heating operation. This will lead to further improvements in balancing the heating demand across all thermal facility sub-systems by integrating operational context with forecasts of the thermal behavior in the future.

  • 24.
    Schmidt, Mischa
    et al.
    NEC Laboratories Europe, NEC Europe Ltd., Heidelberg.
    Wilde, Andreas
    NEC Europe Ltd..
    Schülke, Anett
    NEC Europe Ltd..
    Costa, Henrique
    NEC Portugal.
    IMS interoperability and conformance aspects [IP Multimedia Systems (IMS) Infrastructure and Services]2007Inngår i: IEEE Communications Magazine, ISSN 0163-6804, E-ISSN 1558-1896, Vol. 45, nr 3, s. 138-142Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    In this article, we take a closer look at interoperability and conformance aspects when using 3GPP IMS, ETSI TISPAN NGN, and related OMA service enablers. Considering the increasingly important role of 3GPP IMS within mobile and NGN (next generation network) contexts, we highlight the importance of interoperability and conformance testing of IMS products

  • 25.
    Schmidt, Mischa
    et al.
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap. NEC Laboratories Europe.
    Åhlund, Christer
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Smart Buildings as Cyber-Physical Systems:Data-Driven Predictive Control Strategies for Energy Efficiency2018Inngår i: Renewable & sustainable energy reviews, ISSN 1364-0321, E-ISSN 1879-0690, Vol. 90, s. 742-756Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    Due to its significant contribution to global energy usage and the associated greenhouse gas emissions, existing buildingstock’s energy efficiency must improve. Predictive building control promises to contribute to that by increasing theefficiency of building operations. Predictive control complements other means to increase performance such as refurbishmentsas well as modernizations of systems. This survey reviews recent works and contextualizes these with thecurrent state of the art of interrelated topics in data handling, building automation, distributed control, and semantics.The comprehensive overview leads to seven research questions guiding future research directions.

  • 26.
    Schülke, Anett
    et al.
    NEC Europe Ltd..
    Schmidt, Mischa
    NEC Europe Ltd..
    Floeck, Martin
    NEC Europe Ltd..
    Etinski, Maja
    NEC Europe Ltd..
    Papageorgiou, Apostolos
    NEC Europe Ltd..
    Santos, Nuno
    NEC Europe Ltd..
    Cahill, Brian
    University College Cork, School of Engineering IRUSE.
    Menze, Karsten
    University College Cork, School of Engineering IRUSE.
    Byrne, James
    SIRUS, Cork.
    O'Keeffe, Tony
    SIRUS, Cork.
    Katzemich, Frank
    HSG Zander.
    Valmaseda, Cesar
    CARTIF, Madrid.
    Pajares, Ruben Garcia
    CARTIF, Madrid.
    Gutierrez, Susana
    CARTIF, Madrid.
    Garcia, Jose L Hernandez
    CARTIF, Madrid.
    A middleware platform for integrated building performance management2013Inngår i: Contributions to building physics / [ed] A. Mahdavi, Vienna: Department of building physics and building ecology , 2013, s. 459-466Konferansepaper (Fagfellevurdert)
    Abstract [en]

    For today's building operation business, intelligent building performance analysis solutions with the strength for high replication potential are on urgent demand. While ICT is available throughout today's daily life, it is however still a challenge to bring the right data at the right time to the right decision makers in order to impact energy efficiency and savings for buildings, while operating in a highly competitive market place. With a multitude of BMS solutions and their proprietary performance calculations approach in the market, improvement of Building Performance needs to address other data sources as well, like geometric data, weather, occupancy, building services, and control/actuation data. These diverse data sources ask for an integrating ICT solution for data acquisition, storage, and analysis contribute to Building Performance calculations with emphasis on Key Performance Indicators (KPIs). Accommodating such information exchange demands the services of an effective and efficient middleware. This paper provides the description of an integration middleware and discusses relevant complexities experienced through achievements concerning the EU FP7 CAMPUS21 project.

  • 27.
    Seedorf, Jan
    et al.
    NEC Laboratories Europe.
    Ewald, Thilo
    NEC Laboratories Europe.
    Schmidt, Mischa
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap. NEC Laboratories Europe.
    Jahanpanah, Armin
    NEC Laboratories Europe.
    Stiemerling, Martin
    NEC Laboratories Europe.
    Bąk, Andrzej
    Warsaw University of Technology.
    Pilarski, Marcin
    Warsaw University of Technology.
    Kopertowski, Zbigniew
    Orange Labs Warsaw.
    Towards Operator-managed P2P Content Delivery with Application Layer Traffic Optimization2010Konferansepaper (Fagfellevurdert)
    Abstract [en]

    P2P technology provides a flexible and very popular way of content delivery for various services, including networked media applications. However, P2P-based content delivery generates large amount of backbone traffic. Recently, several approaches have been proposed for guiding P2P services based on operator preferences, in order to reduce the amount of costly backbone traffic generated by P2P applications. Application Layer Traffic Optimization (ALTO) is a one key approach for such managed P2P applications. In short, ALTO is a dedicated service, operated by a network operator or ISP, which can provide useful network layer information to application layer clients for improved peer selection and corresponding content delivery. This paper provides an overview of standardisation and research activities for improving P2P content delivery with ALTO which are carried out within the EU FP7 project NAPA-WINE. In particular, we give an overview on standardisation efforts, present simulation results, explain our prototypical implementation of the ALTO concept, and highlight ongoing large-scale operational trials we are currently conducting within the network of Polish Telecom and among NAPA-WINE partners

  • 28.
    Song, JaeSeung
    et al.
    Sejong University.
    Kunz, Andreas
    NEC Europe Ltd..
    Schmidt, Mischa
    NEC Laboratories Europe, NEC Europe Ltd., Heidelberg.
    Szczytowski, Piotr
    NEC Europe Ltd..
    Connecting and Managing M2M Devices in the Future Internet2014Inngår i: Journal on spesial topics in mobile networks and applications, ISSN 1383-469X, E-ISSN 1572-8153, Vol. 19, nr 1, s. 4-17Artikkel i tidsskrift (Fagfellevurdert)
    Abstract [en]

    As a cutting edge technology, Machine to Machine (M2M) communications are gaining ground for managing and controlling M2M devices. Since these objects have intelligence, communication capabilities and ability to work with their environment, they are considered as a key component for future smart buildings and cities. In this article we briefly introduce several architectures for M2M devices, which are being standardized in 3GPP, ETSI TC M2M and OneM2M, highlighting key functionalities used to manage and control M2M devices such as overload control, conflict management and semantic interworking. Further, the description of their realization in the field of smart building, as part of the CAMPUS 21 European project based on the M2M service modeling from the SENSEI European project, is presented.

  • 29.
    Tanaka, Rie
    et al.
    C and C Innovation Initiative, NEC Corporation.
    Schmidt, Mischa
    NEC Laboratories Europe, NEC Europe Ltd., Heidelberg.
    Åhlund, Christer
    Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.
    Takamutsu, Yuri
    NEC Scandinavia.
    An energy awareness study in a Smart City lessons learned2014Inngår i: IEEE ISSNIP 2014: 2014 IEEE 9th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, Conference Proceedings, Piscataway, NJ: IEEE Communications Society, 2014, s. 4-, artikkel-id 6827663Konferansepaper (Fagfellevurdert)
    Abstract [en]

    The SmartCity concept is becoming widely accepted and describes the usage of ICT for increased quality of life and also for a sustainable usage of natural resources. This paper describes a system architecture for monitoring of electrical energy consumption, and visualization of usage patterns to raise users' awareness of their energy usage which we field trialled over several months. The information collected of each household includes kWh, emission of carbon dioxide emissions and it also relates a household's consumption to other households attending the trial. Our results indicate that a fraction of the participants was interested in a detailed comparison with others whereas other participants had their main interest in not performing worse than the average household. Further, a large fraction had a demand for knowing the total energy usage of their household through an easily accessible visualization. These results indicate that there is support to embed sensing and feedback services to daily life for involving the residents of a SmartCity more.

  • 30.
    Winkler, F.
    et al.
    NEC Europe Ltd..
    Abbadessa, D.
    NEC Europe Ltd..
    Silva, J. Da
    NEC Europe Ltd..
    Girao, J.
    NEC Europe Ltd..
    Schmidt, Mischa
    NEC Laboratories Europe, NEC Europe Ltd., Heidelberg.
    Enriching IPTV Services and Infrastructure with Identity Management2008Inngår i: IEEE GLOBECOM 2008, Global Telecommunications Conference: New Orleans, Nov. 30 2008-Dec. 4 2008, Piscataway, NJ: IEEE Communications Society, 2008Kapittel i bok, del av antologi (Fagfellevurdert)
    Abstract [en]

    IPTV is regarded as one of the key technologies of triple play services by telecommunication incumbents. It is seen as the differentiator to reduce customer churn. However, as more operators deploy this service, the factors for differentiation are dissolving rapidly. In this paper we present how identity management can enrich IPTV and thus provide a variety of new business opportunities that will foster an operator's position and the contractual bindings with its customers. We present novel business models that are made possible by integrated identity management and describe their importance to the user. Furthermore, we address privacy aspects for IPTV service portfolios - a topic which is crucial to gain user acceptance for new services.

  • 31.
    Winkler, Florian
    et al.
    NEC Europe Ltd..
    Schmidt, Mischa
    NEC Europe Ltd..
    Felis, Sebastian
    NEC Europe Ltd..
    Neuwirt, Oleg
    NEC Europe Ltd..
    Silva, Joao
    NEC Europe Ltd..
    Richter, Nils
    NEC Europe Ltd..
    Abbadessa, Danile
    NEC Europe Ltd..
    Identity management for IMS-based IPTV2008Inngår i: 2008 IEEE Global Telecommunications Conference: New Orleans, Louisiana, 30 November 2008-04 December 2008., Piscataway, NJ: IEEE Communications Society, 2008, s. 1637-1641Konferansepaper (Fagfellevurdert)
    Abstract [en]

    IPTV as an integral part of triple play service offers is regarded as a major differentiation factor by incumbent telecommunication operators. However, as more operators provide these services, differentiation is fading. Analysts agree that the key to differentiation are value added services which in the long term require business collaborations of incumbents and 3rd party Service Providers. Additional value is added by integrating existing and well known Internet services into those service portfolios.In this paper, we present how Identity Management technology can simplify the setup of these collaborations and enhance the user experience by secure, anonymous and seamless service usage, e.g. by providing Single Sign On and pseudonyms. We furthermore detail an architecture that combines IPTV based on the IPMultimedia Subsystem with Identity Management to offer consumers a comfortable, privacy aware access to value added services. Especially in the context of IPTV, these are important attributes to reach a high and sustainable user acceptance.

1 - 31 of 31
RefereraExporteraLink til resultatlisten
Permanent link
Referera
Referensformat
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf