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Jungert, Erland
Alternative names
Publications (10 of 14) Show all publications
Trnka, J., Lundberg, J. & Jungert, E. (2009). A Model-Based Simulation Approach to Study Role Improvisation of a Command Staff. IEEE transactions on systems, man and cybernetics. Part A. Systems and humans
Open this publication in new window or tab >>A Model-Based Simulation Approach to Study Role Improvisation of a Command Staff
2009 (English)In: IEEE transactions on systems, man and cybernetics. Part A. Systems and humans, ISSN 1083-4427, E-ISSN 1558-2426Article in journal (Other academic) Submitted
Abstract [en]

This research gives attention to role improvisation in command and controlteams designated for crisis and disaster response operations in aninternational context. The paper reports a study, which had the goal todevelop, on the bases of real response operations, a role-playing simulationto explore and study role improvisation in highly realistic situations. Thestudy was based on a single-case, the command staff of the SwedishResponse Team. The objective of the study was achieved by (a) identifyingcritical areas concerning role improvisation of the command staff, (b)proposing a model-based simulation design that incorporates these areas,and (c) preparing and executing a role-playing simulation based on thisdesign. The critical areas were identified from two previous responseoperations. The analysis utilized a phenomenological approach, and wasbased on twenty-two interviews and three workshops. The identified critical areas were integrated in the simulation design by means of the initial set-up,scenario stimuli, and interactions with the simulation staff. This was basedon a synthesis of the models of command and control and responseoperations, scenario and tasks, simulation approach and manipulation of theimprovisation variables. The developed simulation was a scenario-basedreal-time role-playing simulation with a progressively unfolding scenario.The scenario was based on events taking place during the 2007 Californiawildfires. The simulation was evaluated by assessing the subjective realism.The paper reports experience from designing and conducting the roleplayingsimulation. It identifies demands and requirements, which have tobe met in order to simulate highly realistic situations. It also demonstrateshow, on the bases of real response operations, such simulations can bedesigned. Lastly, it also identifies areas that require attention in order o usethe role-playing simulations to explore and study role improvisation.

National Category
Engineering and Technology
Identifiers
urn:nbn:se:liu:diva-20640 (URN)
Available from: 2009-09-15 Created: 2009-09-15 Last updated: 2017-12-13Bibliographically approved
Svedjemo, G. & Jungert, E. (2008). Att hitta ny kunskap i historiska kartor med GIS och databaser [Example applications of historical maps in GIS and databases]. Kart og Plan, 68(1), 50-62
Open this publication in new window or tab >>Att hitta ny kunskap i historiska kartor med GIS och databaser [Example applications of historical maps in GIS and databases]
2008 (English)In: Kart og Plan, ISSN 0047-3278, Vol. 68, no 1, p. 50-62Article in journal (Refereed) Published
Abstract [en]

Historical maps are a vital and often used source in a variety of disciplines and applications. Since a decade or two, they have moved into the GIS-community. A large scanning project by Lantmäteriverket will make most of the maps in Sweden available as raster images. Two major projects have modelled the maps for storage in databases, but they have several drawbacks. In our project we model the maps as close to the original structure as possible with a very data oriented view. In this article some different applications are presented, which goes beyond the traditional use of historical maps in GIS. These brief examples involve data mining, statistics, retrogressive analysis and hypothesis testing.

Keywords
Historical maps, GIS, database, applications, analysis
National Category
Engineering and Technology Information Systems
Identifiers
urn:nbn:se:liu:diva-102684 (URN)
Note

At the time for thesis presentation publication was in status: Manuscript

Available from: 2013-12-18 Created: 2013-12-18 Last updated: 2018-01-11Bibliographically approved
Camara (Silvervarg), K. & Jungert, E. (2007). A visual query language for dynamic processes applied to a scenario driven environment. Journal of Visual Languages and Computing, 18(3), 315-338
Open this publication in new window or tab >>A visual query language for dynamic processes applied to a scenario driven environment
2007 (English)In: Journal of Visual Languages and Computing, ISSN 1045-926X, Vol. 18, no 3, p. 315-338Article in journal (Refereed) Published
Abstract [en]

Query languages for multi-sensor data sources are generally dealing with spatial–temporal data that in many applications are of geographical type. Such applications are quite often concerned with dynamic activities where the collected sensor data are streaming in from multiple sensors. Data uncertainty is one of the most important issues, which the query language must deal with. Other aspects of concern are sensor data fusion but also association of multiple object observations. Demonstration of the dynamic aspects are generally difficult as scenarios in real-time cannot easily be set up, tested and run realistically. To overcome this problem the query language sigma query language (ΣQL) has been attached to a simulation framework. Together with this framework scenarios can be set up to form the basis for test and dynamic illustration of the query language. Eventually the query language can be used to support decision making as well. Within the simulation framework input data are coming from sensor models that eventually can be replaced by data from real sensors. Services can be integrated with the information system, used for various purposes and supported by the various capabilities of the query language. A consequence of this approach is that the information delivered by the services, including the query language, can be used as input to an operational picture that eventually can be used to demonstrate on-going dynamic processes. In this work, an extension to ΣQL, called VisualΣQL, will be discussed together with some other relevant services useful in dynamic situations as complements to the query language. Furthermore, the use of the system will be illustrated and discussed by means of a scenario that has been run in the simulation environment.

Keywords
Query language, Sensor datasources, Simulation framework, Scenario driven
National Category
Computer Sciences
Identifiers
urn:nbn:se:liu:diva-12673 (URN)10.1016/j.jvlc.2007.02.004 (DOI)
Available from: 2007-10-25 Created: 2007-10-25 Last updated: 2018-01-13
Ahlberg, J., Folkesson, M., Grönwall, C., Horney, T., Jungert, E., Klasén, L. & Ulvklo, M. (2006). Ground Target Recognition in a Query-Based Multi-Sensor Information System. Linköping, Sweden: Department of Electrical Engineering
Open this publication in new window or tab >>Ground Target Recognition in a Query-Based Multi-Sensor Information System
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2006 (English)Report (Other academic)
Abstract [en]

We present a system covering the complete process for automatic ground target recognition, from sensor data to the user interface, i.e., from low level image processing to high level situation analysis. The system is based on a query language and a query processor, and includes target detection, target recognition, data fusion, presentation and situation analysis. This paper focuses on target recognition and its interaction with the query processor. The target recognitionis executed in sensor nodes, each containing a sensor and the corresponding signal/image processing algorithms. New sensors and algorithms are easily added to the system. The processing of sensor data is performed in two steps; attribute estimation and matching. First, several attributes, like orientation and dimensions, are estimated from the (unknown but detected) targets. These estimates are used to select the models of interest in a matching step, where the targetis matched with a number of target models. Several methods and sensor data types are used in both steps, and data is fused after each step. Experiments have been performed using sensor data from laser radar, thermal and visual cameras. Promising results are reported, demonstrating the capabilities of the target recognition algorithms, the advantages of the two-level data fusion and the query-based system.

Place, publisher, year, edition, pages
Linköping, Sweden: Department of Electrical Engineering, 2006. p. 29
Series
LiTH-ISY-R, ISSN 1400-3902 ; 2748
Keywords
Multi-sensor fusion, Query languages, Infrared sensors, Laser radar, Range data, Target recognition, Target detection
National Category
Control Engineering
Identifiers
urn:nbn:se:liu:diva-14124 (URN)LiTH-ISY-R-2748 (ISRN)
Available from: 2006-11-06 Created: 2006-11-06 Last updated: 2016-08-31Bibliographically approved
Svedjemo, G. & Erland, J. (2006). Ontology as Conceptual Schema in Database Modelling of Historical Maps. In: Proceedings of the Internationa Conference on Signal-Image Technology & Internet-Based Systems (SITIS'2006): . Paper presented at Internationa Conference on Signal-Image Technology & Internet-Based Systems (SITIS'2006), December 16-21 2006 in Hammamet, Tunisia..
Open this publication in new window or tab >>Ontology as Conceptual Schema in Database Modelling of Historical Maps
2006 (English)In: Proceedings of the Internationa Conference on Signal-Image Technology & Internet-Based Systems (SITIS'2006), 2006Conference paper, Published paper (Refereed)
Abstract [en]

Sweden has an enormous treasure in its vast number of large-scale historical maps from a period of nearly 400 years. These are frequently used in temporal studies and different kinds of historical and archaeological research problems. A full and systematic analyse of this material from a data modelling perspective has not been conducted. In a prior article, a conccpnml analysis resulting in an ontolney for the Gotlandic maps of 1693-1705 (GM1700) was presented. In this paper it is demonstrated how this ontology can be used as a conceptual schema for a logical E/R database schema. The Ontology is described in the terms of the Protege mcta-model and the E/R schema in UML. The mapping between the two is a set of elementary guidance rules, which is easy for a human to comprehend, but hard to automate. The E/R schema is implemented in a DBMS- and a GIS system.

National Category
Engineering and Technology
Identifiers
urn:nbn:se:liu:diva-102681 (URN)
Conference
Internationa Conference on Signal-Image Technology & Internet-Based Systems (SITIS'2006), December 16-21 2006 in Hammamet, Tunisia.
Available from: 2013-12-18 Created: 2013-12-18 Last updated: 2013-12-18
Silvervarg (Camara), K. & Jungert, E. (2005). A Visual Query Language for Uncertain Spatial and Temporal data. In: Sebillo, Monica, Vitiello, Giuliana, Schaefer, Gerald (Ed.), Proceedings of the Conference on Visual Information systems 2005: . Paper presented at Proceedings of the Conference on Visual Information systems 2005 (pp. 163-176). Berlin/Heidelberg: Springer
Open this publication in new window or tab >>A Visual Query Language for Uncertain Spatial and Temporal data
2005 (English)In: Proceedings of the Conference on Visual Information systems 2005 / [ed] Sebillo, Monica, Vitiello, Giuliana, Schaefer, Gerald, Berlin/Heidelberg: Springer , 2005, p. 163-176Conference paper, Published paper (Other academic)
Abstract [en]

Query languages for sensor data will have similarities with traditional query languages but will also have diverging properties that cause a higher complexity than the traditional ones. Both types require data independence. However, as different sensors create data of heterogeneous type the commonly used methods for data selection cannot be used. Furthermore, sensor data will always be associated with uncertainties and since also sensor data fusion must be possible to carry out this cause further problem in development of the query languages. Here a visual query language for sensor data input is discussed from these perspectives to allow a complete set of spatial temporal queries by means of its visual user interface.

Place, publisher, year, edition, pages
Berlin/Heidelberg: Springer, 2005
Series
Lecture Notes in Computer Science, ISSN 0302-9743, E-ISSN 1611-3349
National Category
Engineering and Technology
Identifiers
urn:nbn:se:liu:diva-12671 (URN)10.1007/11590064_15 (DOI)978-3-540-30488-3 (ISBN)
Conference
Proceedings of the Conference on Visual Information systems 2005
Available from: 2007-10-25 Created: 2007-10-25 Last updated: 2018-02-02
Lantz, F., Jungert, E. & Edlund, S. (2005). Context Fusion for Driveability Analysis. In: Proceedings of the 8th Int. Conf. on Information Fusion, Philadelphia Pennsylvania, USA: . , 2
Open this publication in new window or tab >>Context Fusion for Driveability Analysis
2005 (English)In: Proceedings of the 8th Int. Conf. on Information Fusion, Philadelphia Pennsylvania, USA, 2005, Vol. 2Conference paper, Published paper (Refereed)
Abstract [en]

Driveability analysis is a quite complex problem that for its solution depends on several factors. One of these factors concerns the type of vehicle for which a drive-way should be determined. Besides this, the terrain structure, the type of vegetation but also the ground type and its conditions play important roles. Driveability analysis will consequently include analysis of primarily geographical information and the outcome of this analysis can be used to support decision making in command and control systems. However, quite often the required geographical information is represented in a resolution that is either too low and/or is represented with a high degree of uncertainty that cannot be neglected. In this work, an approach to driveability analysis is presented in which geographical information is regarded as context information that eventually is fused to generate paths, that may be drivable for certain types of vehicles. This information is fused by means of a knowledge-based technique that determines the driveability from a set of qualitative driveability impact factors.

National Category
Engineering and Technology
Identifiers
urn:nbn:se:liu:diva-13311 (URN)10.1109/ICIF.2005.1592002 (DOI)
Available from: 2008-05-27 Created: 2008-05-27
Svedjemo, G. & Jungert, E. (2005). Ontology over the Historical Maps of Gotland 1693-1705. In: Hans Hauska and Håvard Tveite (Ed.), ScanGIS' 2005: proceedings of the 10th Scandinavian Research Conference on Geographical Information Sciences. Paper presented at ScanGIS' 2005: the 10th Scandinavian Research Conference on Geographical Information Sciences. 13th-15th June 2005, Stockholm, Sweden. Stockholm: Department of Planning and Environment, Kungliga Tekniska högskolan
Open this publication in new window or tab >>Ontology over the Historical Maps of Gotland 1693-1705
2005 (English)In: ScanGIS' 2005: proceedings of the 10th Scandinavian Research Conference on Geographical Information Sciences / [ed] Hans Hauska and Håvard Tveite, Stockholm: Department of Planning and Environment, Kungliga Tekniska högskolan , 2005Conference paper, Published paper (Refereed)
Abstract [en]

In many disciplines in the humanities and social sciences, like histo-ry, human geography and archeology, historical maps are of great importance as a source of information. They are used frequently in different studies for a vari-ety of problems. Since the last decade or two, it has been more and more com-mon to use data from historical maps in GIS-analysis. On Gotland, the large-scale map production has a more then 300-year history. There are several differ-ent map generations that are produced for different purposes. The scope of this work is a map series produced over the province of Gotland in 1693-1705. These maps have extensive text descriptions of different aspects of the mapped features. Via a code marking system they are attached to the maps. In this work a semantic analysis and an ontology over all the concepts found in the maps and text descriptions will be presented.

Place, publisher, year, edition, pages
Stockholm: Department of Planning and Environment, Kungliga Tekniska högskolan, 2005
National Category
Engineering and Technology
Identifiers
urn:nbn:se:liu:diva-102680 (URN)91-7323-126-6 (ISBN)
Conference
ScanGIS' 2005: the 10th Scandinavian Research Conference on Geographical Information Sciences. 13th-15th June 2005, Stockholm, Sweden
Available from: 2013-12-18 Created: 2013-12-18 Last updated: 2013-12-18
Silvervarg (Camara), K. & Jungert, E. (2005). Uncertain topological relations for mobile point objects in terrain. In: Proceedings of 11th International Conference on Distributed Multimedia Systems: (pp. 40-45).
Open this publication in new window or tab >>Uncertain topological relations for mobile point objects in terrain
2005 (English)In: Proceedings of 11th International Conference on Distributed Multimedia Systems, 2005, p. 40-45Conference paper, Published paper (Other academic)
National Category
Engineering and Technology
Identifiers
urn:nbn:se:liu:diva-12672 (URN)
Available from: 2007-10-25 Created: 2007-10-25 Last updated: 2009-03-12
Horney, T., Ahlberg, J., Grönwall, C., Folkesson, M., Silvervarg, K., Fransson, J., . . . Ulvklo, M. (2004). An information system for target recognition. In: Belur V. Dasarathy (Ed.), Volume 5434 Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications: . Paper presented at Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications, Orlando, FL, USA, April 12, 2004 (pp. 163-175). SPIE - International Society for Optical Engineering
Open this publication in new window or tab >>An information system for target recognition
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2004 (English)In: Volume 5434 Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications / [ed] Belur V. Dasarathy, SPIE - International Society for Optical Engineering, 2004, p. 163-175Conference paper, Published paper (Refereed)
Abstract [en]

We present an approach to a general decision support system. The aim is to cover the complete process for automatic target recognition, from sensor data to the user interface. The approach is based on a query-based information system, and include tasks like feature extraction from sensor data, data association, data fusion and situation analysis. Currently, we are working with data from laser radar, infrared cameras, and visual cameras, studying target recognition from cooperating sensors on one or several platforms. The sensors are typically airborne and at low altitude. The processing of sensor data is performed in two steps. First, several attributes are estimated from the (unknown but detected) target. The attributes include orientation, size, speed, temperature etc. These estimates are used to select the models of interest in the matching step, where the target is matched with a number of target models, returning a likelihood value for each model. Several methods and sensor data types are used in both steps. The user communicates with the system via a visual user interface, where, for instance, the user can mark an area on a map and ask for hostile vehicles in the chosen area. The user input is converted to a query in ΣQL, a query language developed for this type of applications, and an ontological system decides which algorithms should be invoked and which sensor data should be used. The output from the sensors is fused by a fusion module and answers are given back to the user. The user does not need to have any detailed technical knowledge about the sensors (or which sensors that are available), and new sensors and algorithms can easily be plugged into the system.

Place, publisher, year, edition, pages
SPIE - International Society for Optical Engineering, 2004
Series
Proceedings of SPIE, ISSN 0277-786X ; 5434
Keywords
Target recognition ; Sensors ; Interfaces ; Algorithms ; Automatic target recognition ; Cameras ; Data fusion ; Decision support systems ; Feature extraction ; Infrared cameras
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
urn:nbn:se:liu:diva-120917 (URN)10.1117/12.540968 (DOI)
Conference
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications, Orlando, FL, USA, April 12, 2004
Available from: 2015-08-31 Created: 2015-08-31 Last updated: 2018-01-11Bibliographically approved
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