hh.sePublications
Change search
Link to record
Permanent link

Direct link
BETA
Pignaton de Freitas, EdisonORCID iD iconorcid.org/0000-0003-4655-8889
Alternative names
Publications (10 of 55) Show all publications
Zacarias, I., Schwarzrock, J., Gaspary, L. P., Kohl, A., Fernandes, R. Q. A., Stocchero, J. M. & Pignaton de Freitas, E. (2018). Enhancing Mobile Military Surveillance Based on Video Streaming by Employing Software Defined Networks. Wireless Communications & Mobile Computing, 2018, 1-12, Article ID 2354603.
Open this publication in new window or tab >>Enhancing Mobile Military Surveillance Based on Video Streaming by Employing Software Defined Networks
Show others...
2018 (English)In: Wireless Communications & Mobile Computing, ISSN 1530-8669, E-ISSN 1530-8677, Vol. 2018, p. 1-12, article id 2354603Article in journal (Refereed) Published
Abstract [en]

Situation awareness in surveillance systems benefits from high-quality video streaming service. This is even more important considering military systems, in which delays in image transmission may have a significant impact on the decision-making process. However, in order to deliver high-quality video streaming service, the required network infrastructure may be prohibitively complex, or even completely impossible to deploy, if mobile data providers are considered. Moreover, the demand for high network throughput poses extra requirements on the network. Considering this context, this paper addresses the problem of highly mobile networks composed of unmanned aerial vehicles (UAVs) as data providers of a military surveillance system. The proposed approach to tackle the problem is based on a Software Defined Networking (SDN) approach aiming at providing the best routes to deliver the data, enhancing the end-user quality of experience. An extensive experimental campaign was performed by means of simulations and the acquired results provide solid evidence of the usefulness of this proposal.© 2018 Iulisloi Zacarias et al.

Place, publisher, year, edition, pages
Oxford: John Wiley & Sons, 2018
National Category
Computer Sciences
Identifiers
urn:nbn:se:hh:diva-38320 (URN)10.1155/2018/2354603 (DOI)000448537000001 ()
Note

Funding Agency:

State of Rio Grande do Sul Research Foundation (FAPERGS)

Brazilian National Council for Scientific and Technological Development (CNPq)  

Brazilian Army

Available from: 2018-11-14 Created: 2018-11-14 Last updated: 2018-11-15Bibliographically approved
Marinho, M., Antreich, F., da Costa, J. P. .., Caizzone, S., Vinel, A. & Pignaton de Freitas, E. (2018). Robust Nonlinear Array Interpolation for Direction of Arrival Estimation of Highly Correlated Signals. Signal Processing, 144, 19-28
Open this publication in new window or tab >>Robust Nonlinear Array Interpolation for Direction of Arrival Estimation of Highly Correlated Signals
Show others...
2018 (English)In: Signal Processing, ISSN 0165-1684, E-ISSN 1872-7557, Vol. 144, p. 19-28Article in journal (Refereed) Published
Abstract [en]

Important signal processing techniques need that the response of the different elements of a sensor array has specific characteristics. For physical systems this often is not achievable as the array elements’ responses are affected by mutual coupling or other effects. In such cases, it is necessary to apply array interpolation to allow the application of ESPRIT, Forward Backward Averaging (FBA), and Spatial Smoothing (SPS). Array interpolation provides a model or transformation between the true and a desired array response. If the true response of the array becomes more distorted with respect to the desired one or the considered region of the field of view of the array increases, nonlinear approaches becomes necessary. This work presents two novel methods for sector discretization. An Unscented Transform (UT) based method and a principal component analysis (PCA) based method are discussed. Additionally, two novel nonlinear interpolation methods are developed based on the nonlinear regression schemes Multivariate Adaptive Regression Splines (MARS) and Generalized Regression Neural Networks (GRNNs). These schemes are extended and applied to the array interpolation problem. The performance of the proposed methods is examined using simulated and measured array responses of a physical system used for research on mutual coupling in antenna arrays. © 2017 The Author(s). Published by Elsevier B.V.

Place, publisher, year, edition, pages
Amsterdam: Elsevier, 2018
Keywords
Array Interpolation, Array Mapping, Antenna Arrays, Direction of Arrival Estimation
National Category
Signal Processing Communication Systems
Identifiers
urn:nbn:se:hh:diva-35082 (URN)10.1016/j.sigpro.2017.09.025 (DOI)2-s2.0-85030321519 (Scopus ID)
Funder
ELLIIT - The Linköping‐Lund Initiative on IT and Mobile Communications
Note

Funding: Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) under the PVE grant number 88881.030392/2013-01 and by the ELLIIT Strategic Research Network.

Available from: 2017-09-28 Created: 2017-09-28 Last updated: 2018-03-23Bibliographically approved
Schwarzrock, J., Zacarias, I., Bazzan, A. L. .., Fernandes, R. Q., Moreira, L. H. & Pignaton de Freitas, E. (2018). Solving task allocation problem in multi Unmanned Aerial Vehicles systems using Swarm intelligence. Engineering applications of artificial intelligence, 72, 10-20
Open this publication in new window or tab >>Solving task allocation problem in multi Unmanned Aerial Vehicles systems using Swarm intelligence
Show others...
2018 (English)In: Engineering applications of artificial intelligence, ISSN 0952-1976, E-ISSN 1873-6769, Vol. 72, p. 10-20Article in journal (Refereed) Published
Abstract [en]

The envisaged usage of multiple Unmanned Aerial Vehicles (UAVs) to perform cooperative tasks is a promising concept for future autonomous military systems. An important aspect to make this usage a reality is the solution of the task allocation problem in these cooperative systems. This paper addresses the problem of tasks allocation among agents representing UAVs, considering that the tasks are created by a central entity, in which the decision of which task will be performed by each agent is not decided by this central entity, but by the agents themselves. The assumption that tasks are created by a central entity is a reasonable one, given the way strategic planning is carried up in military operations. To enable the UAVs to have the ability to decide which tasks to perform, concepts from swarm intelligence and multi-agent system approach are used. Heuristic methods are commonly used to solve this problem, but they present drawbacks. For example, many tasks end up not begin performed even if the UAVs have enough resources to execute them. To cope with this problem, this paper proposes three algorithm variants that complement each other to form a new method aiming to increase the amount of performed tasks, so that a better task allocation is achieved. Through experiments in a simulated environment, the proposed method was evaluated, yielding enhanced results for the addressed problem compared to existing methods reported in the literature. © 2018 Elsevier Ltd

Place, publisher, year, edition, pages
Oxford: Elsevier, 2018
Keywords
Unmanned Aerial Vehicles, Task allocation, Multi-agent systems, Swarm intelligence
National Category
Computer Sciences
Identifiers
urn:nbn:se:hh:diva-38317 (URN)10.1016/j.engappai.2018.03.008 (DOI)000434239000002 ()2-s2.0-85044458179 (Scopus ID)
Available from: 2018-11-14 Created: 2018-11-14 Last updated: 2018-11-15Bibliographically approved
Marinho, M. A. M., Vinel, A., Antreich, F., da Costa, J. P. & Pignaton de Freitas, E. (2017). Antenna Array Based Localization Scheme for Vehicular Networks. In: Lisa O’Conner (Ed.), 2017 IEEE International Conference on Computer and Information Technology (CIT): . Paper presented at 17th IEEE International Conference on Computer and Information Technology (IEEE CIT-2017), Helsinki, Finland, 21-23 August, 2017 (pp. 142-146). Los Alamitos: IEEE Computer Society
Open this publication in new window or tab >>Antenna Array Based Localization Scheme for Vehicular Networks
Show others...
2017 (English)In: 2017 IEEE International Conference on Computer and Information Technology (CIT) / [ed] Lisa O’Conner, Los Alamitos: IEEE Computer Society, 2017, p. 142-146Conference paper, Published paper (Refereed)
Abstract [en]

Vehicular ad hoc networks (VANETs) are emerging as the possible solution for multiple concerns in road traffic such as mobility and safety. One of the main concerns present in VANETs is the localization and tracking of vehicles. This work presents a passive vehicle localization and tracking method based on direction of arrival (DOA) estimation. The proposed method does not rely on external sources of information such as Global Navigation Satellite Systems (GNSS) and can be used to mitigate the possibility of spoofing or to provide a second independent source of position estimation for integrity purposes. The proposed algorithm uses array signal processing techniques to estimate not only the position but also the direction of other vehicles in network. Furthermore, it is a fully passive method and can alleviate the network load since it does not require any location based data exchange and can be performed by any listening vehicle using the signal of any data transmission. A set of numerical simulations is used to validate the proposed method and the results are shown to be more precise than the average accuracy of Global Position System (GPS) receivers. © Copyright 2017 IEEE

Place, publisher, year, edition, pages
Los Alamitos: IEEE Computer Society, 2017
Keywords
Localization, VANETs, MIMO, Spoofing
National Category
Communication Systems Telecommunications
Identifiers
urn:nbn:se:hh:diva-34996 (URN)10.1109/CIT.2017.64 (DOI)2-s2.0-85032330318 (Scopus ID)978-1-5386-0958-3 (ISBN)978-1-5386-0959-0 (ISBN)
Conference
17th IEEE International Conference on Computer and Information Technology (IEEE CIT-2017), Helsinki, Finland, 21-23 August, 2017
Available from: 2017-09-17 Created: 2017-09-17 Last updated: 2018-03-23Bibliographically approved
Zacarias, I., Gaspary, L. P., Kohl, A., Fernandes, R. Q. A., Stocchero, J. M. & Pignaton de Freitas, E. (2017). Combining Software-Defined and Delay-Tolerant Approaches in Last-Mile Tactical Edge Networking. IEEE Communications Magazine, 55(10), 22-29, Article ID 8067679.
Open this publication in new window or tab >>Combining Software-Defined and Delay-Tolerant Approaches in Last-Mile Tactical Edge Networking
Show others...
2017 (English)In: IEEE Communications Magazine, ISSN 0163-6804, E-ISSN 1558-1896, Vol. 55, no 10, p. 22-29, article id 8067679Article in journal (Refereed) Published
Abstract [en]

Network-centric warfare is a no-way-back trend in modern military operations. The application of this concept ranges from upper-level decision making echelons to troop guidance on the battlefield, and many studies have been carried out in this area. However, most of these are concerned with either the higher-level strategic networks, that is, the networks linking the higher echelons with abundant resources, satellite communications, or even a whole network infrastructure, or high-end TEN, representing resource-rich troops in the field, with military aircraft, battleships, or ground vehicles equipped with powerful wireless communication devices and (almost) unrestricted energy resources for communication. However, these studies fail to take into account the "last-mile TEN," which comprises resource constrained communication devices carried by troopers, equipping sensor nodes deployed in the field or small unmanned aerial vehicles. In an attempt to fill this gap in the studies on battlefield networking, this article seeks to combine software-defined and delay-tolerant approaches to support the diverse range of strict requirements for applications in the last-mile TEN. © 2017 IEEE.

Place, publisher, year, edition, pages
Piscataway: Institute of Electrical and Electronics Engineers (IEEE), 2017
Keywords
autonomous aerial vehicles, decision making, delay tolerant networks, military aircraft, military communication, military computing, remotely operated vehicles, software defined networking, wireless sensor networks, unmanned aerial vehicles, battlefield networking, delay-tolerant approaches, last-mile TEN, last-mile tactical edge, network-centric warfare, modern military operations, upper-level decision making echelons, troop guidance, higher-level strategic networks, higher echelons, abundant resources, satellite communications, network infrastructure, high-end TEN, resource-rich troops, military aircraft, ground vehicles, powerful wireless communication devices, unrestricted energy resources, resource constrained communication devices, battleships, sensor nodes, Wireless sensor networks, Wireless communication, Satellite broadcasting, Military aircraft, Military communication, Decision making
National Category
Computer Sciences
Identifiers
urn:nbn:se:hh:diva-38318 (URN)10.1109/MCOM.2017.1700239 (DOI)000413037100004 ()2-s2.0-85036477140 (Scopus ID)
Note

Funding Agency:

Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul (FAPERGS) Grant number: 2240-2551/14-2SIAFEM

Available from: 2018-11-14 Created: 2018-11-14 Last updated: 2018-11-15Bibliographically approved
Boeira, F., Barcellos, M. P., Pignaton de Freitas, E., Vinel, A. & Asplund, M. (2017). Effects of Colluding Sybil Nodes in Message Falsification Attacks for Vehicular Platooning. In: Onur Altintas, Claudio Casetti, Nicholas Kirsch, Renato Lo Cigno & Rui Meireles (Ed.), 2017 IEEE Vehicular Networking Conference (VNC): . Paper presented at 2017 IEEE Vehicular Networking Conference (VNC), Torino, Italy, November 27-29, 2017.
Open this publication in new window or tab >>Effects of Colluding Sybil Nodes in Message Falsification Attacks for Vehicular Platooning
Show others...
2017 (English)In: 2017 IEEE Vehicular Networking Conference (VNC) / [ed] Onur Altintas, Claudio Casetti, Nicholas Kirsch, Renato Lo Cigno & Rui Meireles, 2017Conference paper, Published paper (Refereed)
Abstract [en]

This paper studies the impact of vulnerabilities associated with the Sybil attack (through falsification of multiple identities) and message falsification in vehicular platooning. Platooning employs Inter-Vehicular Communication (IVC) to control a group of vehicles. It uses broadcast information such as acceleration, position, and velocity to operate a longitudinal control law. Cooperation among vehicles allows platoons to reduce fuel consumption and risks associated with driver mistakes. In spite of these benefits, the use of network communication to control vehicles exposes a relevant attack surface that can be exploited by malicious actors. To carry out this study, we evaluate five scenarios to quantify the potential impact of such attacks, identifying how platoons behave under varying Sybil attack conditions and what are the associated safety risks. This research also presents the use of location hijacking attack. In this attack, innocent vehicles that are not part of a platoon are used as a way to create trust bond between the false identities and the physical vehicles. We demonstrate that the ability to create false identities increases the effectiveness of message falsification attacks by making them easier to deploy and harder to detect in time.

Keywords
Acceleration, Vehicular ad hoc networks, Authentication, Vehicles, Privacy, Safety, Road transportation
National Category
Communication Systems Telecommunications
Identifiers
urn:nbn:se:hh:diva-35822 (URN)10.1109/VNC.2017.8275641 (DOI)978-1-5386-0986-6 (ISBN)978-1-5386-0985-9 (ISBN)978-1-5386-0987-3 (ISBN)
Conference
2017 IEEE Vehicular Networking Conference (VNC), Torino, Italy, November 27-29, 2017
Funder
ELLIIT - The Linköping‐Lund Initiative on IT and Mobile Communications
Available from: 2017-12-13 Created: 2017-12-13 Last updated: 2018-03-13Bibliographically approved
Zacarias, I., Schwarzrock, J., Gaspary, L. P., Kohl, A., Fernandes, R. Q. A., Stocchero, J. M. & Pignaton de Freitas, E. (2017). Employing SDN to control video streaming applications in military mobile networks. In: Aris Gkoulalas-Divanis, Miguel P. Correia, Dimiter R. Avresky (Ed.), 2017 IEEE 16th International Symposium on Network Computing and Applications (NCA): . Paper presented at 2017 IEEE 16th International Symposium on Network Computing and Applications (NCA 2017), 30 October - 1 November, 2017, Cambridge, MA, USA (pp. 1-4). New York: IEEE
Open this publication in new window or tab >>Employing SDN to control video streaming applications in military mobile networks
Show others...
2017 (English)In: 2017 IEEE 16th International Symposium on Network Computing and Applications (NCA) / [ed] Aris Gkoulalas-Divanis, Miguel P. Correia, Dimiter R. Avresky, New York: IEEE, 2017, p. 1-4Conference paper, Published paper (Refereed)
Abstract [en]

Video streaming is an important service provided by surveillance systems to enhance situation awareness. However, in military systems, data acquisition heavily depends on the network infrastructure. In this application domain, units are spread and the distance between the sources of data and the decision makers may be very large. In the case of video streaming, the demand for high network throughput poses some extra requirements on the network. Considering the mobility patterns of the military units and the diversity of the new generations of sensors, especially those used by Unmanned Aerial Vehicles (UAV), the configuration and the management of the network must be so dynamic and so sensitive to data flow parameters that manual configuration is not acceptable. For this reason, the capability of the network to configure itself to offer the necessary Quality of Service is a must. Using principles of Software Defined Networks (SDN), this paper presents an analysis of video streaming for military surveillance in which multiple UAVs are employed as data providers through an SDN-enabled network, with promising results. ©2017 by IEEE

Place, publisher, year, edition, pages
New York: IEEE, 2017
Keywords
autonomous aerial vehicles, data acquisition, military communication, military computing, military systems, mobile radio, software defined networking, surveillance, video streaming, SDN, military mobile networks, surveillance systems, situation awareness, network infrastructure, application domain, mobility patterns, military units, military surveillance, data providers, software defined networks, data flow parameters, unmanned aerial vehicles, UAV, quality of service, Streaming media, Land vehicles, Measurement, Topology, Vehicle dynamics, Reconnaissance
National Category
Computer Sciences
Identifiers
urn:nbn:se:hh:diva-38319 (URN)10.1109/NCA.2017.8171390 (DOI)000426971900066 ()2-s2.0-85046549428 (Scopus ID)978-1-5386-1465-5 (ISBN)978-1-5386-1464-8 (ISBN)
Conference
2017 IEEE 16th International Symposium on Network Computing and Applications (NCA 2017), 30 October - 1 November, 2017, Cambridge, MA, USA
Note

Funding Agency:

State of Rio Grande do Sul Research Foundation (FAPERGS) Grant Number: 2240-2551/14-2SIAFEM

Brazilian National Council for Scientific and Technological Development (CNPq) 

Available from: 2018-11-14 Created: 2018-11-14 Last updated: 2018-12-13Bibliographically approved
Boeira, F., Barcellos, M., Pignaton de Freitas, E., Vinel, A. & Asplund, M. (2017). On the impact of sybil attacks in cooperative driving scenarios. In: 2017 IFIP Networking Conference (IFIP Networking) and Workshops: . Paper presented at 2017 IFIP Networking Conference (IFIP Networking) and Workshops, Stockholm, Sweden, 12-16 June, 2017. IEEE
Open this publication in new window or tab >>On the impact of sybil attacks in cooperative driving scenarios
Show others...
2017 (English)In: 2017 IFIP Networking Conference (IFIP Networking) and Workshops, IEEE, 2017Conference paper, Published paper (Refereed)
Abstract [en]

Platooning employs a set of technologies to manage how a group of vehicles operates, including radar, GPS and Inter-Vehicular Communication (IVC). It uses broadcasted information such as acceleration, position and velocity to operate vehicle members of the platoon. Cooperation among vehicles allows platoons to reduce fuel consumption and risks associated with driver mistakes. In spite of these benefits, the use of IVC to control vehicles exposes a relevant attack surface that can be exploited by malicious actors. In this paper we study the impact of vulnerabilities associated with the Sybil attack (through falsification of multiple identities) and message falsification in vehicular platooning. Simulation results show that this attack may impact the longitudinal control and compromise the entire platoon control. © Copyright 2018 IEEE

Place, publisher, year, edition, pages
IEEE, 2017
Keywords
Acceleration, Vehicle crash testing, Peer-to-peer computing, Stability analysis, Accidents, Brakes, Conferences
National Category
Communication Systems Telecommunications
Identifiers
urn:nbn:se:hh:diva-36225 (URN)10.23919/IFIPNetworking.2017.8264890 (DOI)978-3-901882-94-4 (ISBN)978-1-5386-2829-4 (ISBN)
Conference
2017 IFIP Networking Conference (IFIP Networking) and Workshops, Stockholm, Sweden, 12-16 June, 2017
Funder
ELLIIT - The Linköping‐Lund Initiative on IT and Mobile Communications
Available from: 2018-02-03 Created: 2018-02-03 Last updated: 2018-02-05Bibliographically approved
Marinho, M., da Costa, J. P. L., Antreich, F., Pignaton de Freitas, E. & Vinel, A. (2016). Adaptive Communication and Cooperative MIMO Cluster Formation for Improved Lifetime in Wireless Sensor Networks. In: Proceedings - WiSEE 2016: 2016 IEEE International Conference on Wireless for Space and Extreme Environments: . Paper presented at IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE), SEP 26-28, 2016, Aachen, Germany (pp. 190-195). New York: IEEE, Article ID 7877330.
Open this publication in new window or tab >>Adaptive Communication and Cooperative MIMO Cluster Formation for Improved Lifetime in Wireless Sensor Networks
Show others...
2016 (English)In: Proceedings - WiSEE 2016: 2016 IEEE International Conference on Wireless for Space and Extreme Environments, New York: IEEE, 2016, p. 190-195, article id 7877330Conference paper, Published paper (Refereed)
Abstract [en]

One of the main limitations that still keeps Wireless Sensor Networks (WSNs) from being adopted in a large scale is the limited energy supply, i.e. the lifetime of the nodes that constitute the network. The wireless communication between nodes is responsible for most of the energy consumed in WSNs. A promising method to improve the energy efficiency is the usage of a Cooperative Multiple Input Multiple Output (CO-MIMO) scheme, where nodes form clusters to transmit and receive signals using a virtual antenna array. This work presents a study on the energy consumption of multi-hop and single-hop transmission compared to CO-MIMO and how to select the most efficient method. It also proposes a method for adaptively choosing the number of nodes that form a CO-MIMO cluster in order to maximize the lifetime of the network and to avoid disconnections. The proposed method takes into account not only the total energy consumption but also the distribution of energy within the network, aiming to keep the energy distribution across the network as uniform as possible. The effects of the proposed methods in the total available energy of the network and in the distribution of the energy is presented by means of numerical simulations. © 2016 IEEE.

Place, publisher, year, edition, pages
New York: IEEE, 2016
Series
International Conference on Wireless for Space and Extreme Environments, ISSN 2380-7636
Keywords
Wireless Sensor Networks, Multiple Input Multiple Output, Synchronization, Routing, Energy Efficient Communications
National Category
Communication Systems
Identifiers
urn:nbn:se:hh:diva-35650 (URN)10.1109/WiSEE.2016.7877330 (DOI)000405562000037 ()2-s2.0-85017310256 (Scopus ID)978-1-5090-2609-8 (ISBN)978-1-5090-2610-4 (ISBN)
Conference
IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE), SEP 26-28, 2016, Aachen, Germany
Available from: 2017-12-11 Created: 2017-12-11 Last updated: 2018-06-14Bibliographically approved
Marinho, M. A. M., da Costa, J. P. L., Antreich, F., de Almeida, A. L. F., Del Galdo, G., de Freitas, E. P. & Vinel, A. (2016). Array interpolation based on multivariate adaptive regression splines. In: 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM): . Paper presented at 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), Rio de Janeiro, Brazil, 10-13 July, 2016. Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE)
Open this publication in new window or tab >>Array interpolation based on multivariate adaptive regression splines
Show others...
2016 (English)In: 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2016Conference paper, Published paper (Refereed)
Abstract [en]

Many important signal processing techniques such as Spatial Smoothing, Forward Backward Averaging and Root-MUSIC, rely on antenna arrays with specific and precise structures. Arrays with such ideal structures, such as a centro-hermitian structure, are often hard to build in practice. Array interpolation is used to enable the usage of these techniques with imperfect (not having a centro-hermitian structure) arrays. Most interpolation methods rely on methods based on least squares (LS) to map the output of a perfect virtual array based on the real array. In this work, the usage of Multivariate Adaptive Regression Splines (MARS) is proposed instead of the traditional LS to interpolate arrays with responses largely different from the ideal.

Place, publisher, year, edition, pages
Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2016
Series
Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop, ISSN 2151-870X
Keywords
array interpolation, multivariate adaptive regression splines
National Category
Communication Systems Signal Processing
Identifiers
urn:nbn:se:hh:diva-32116 (URN)10.1109/SAM.2016.7569704 (DOI)2-s2.0-84990866816 (Scopus ID)
Conference
2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), Rio de Janeiro, Brazil, 10-13 July, 2016
Available from: 2016-10-01 Created: 2016-10-01 Last updated: 2018-03-23Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0003-4655-8889

Search in DiVA

Show all publications