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Jonsson, Håkan
Publications (10 of 32) Show all publications
Jonsson, H. (2016). Using flipped classroom, peer discussion, and just-in-time teaching to increase learning in a programming course (ed.). In: (Ed.), 2015 IEEE Frontiers in Education Conference: FIE 2015, El Paso, TX 21-24 Oct. 2015. Paper presented at Frontiers in Education Conference : 21/10/2015 - 24/10/2015. Piscataway, NJ: IEEE Communications Society
Open this publication in new window or tab >>Using flipped classroom, peer discussion, and just-in-time teaching to increase learning in a programming course
2016 (English)In: 2015 IEEE Frontiers in Education Conference: FIE 2015, El Paso, TX 21-24 Oct. 2015, Piscataway, NJ: IEEE Communications Society, 2016Conference paper, Published paper (Refereed)
Abstract [en]

In this paper we report on an experiment conducted in an attempt to improve further the learning environment in a basic campus course on Object-Oriented Programming and Design given to first-year engineering students studying Computer Science and Engineering. This course has for years had the same traditional set-up that is common also in other engineering schools around the world including lectures, mandatory programming assignments, and a final written exam. What we did was to substitute the lectures for in-class sessions based on a variant of the teaching method known as 'flipping the classroom' combined with certain elements of Peer Discussion and Just-in-time teaching. To make all this work, we introduced a web-based MOOC tool into the course. To be able to investigate the quantitative effects of our experiment, we had an experiment class consisting of 70 students taking the course in this new way and a control class of 57 students taking the course in the traditional way. On the final written exam, which was identical for the two classes and marked the same way, 81% of the students in the experiment class passed compared to 60% in the control class. Moreover, the share of students passing with good grades was 58% in the experiment class compared to 32% in the control class. So, not only did the share of students passing the course increase by a third, but also the share of students passing with good grades almost doubled

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2016
Series
Frontiers in Education Conference. Conference Proceedings, ISSN 1539-4565
National Category
Computer Sciences
Research subject
Dependable Communication and Computation Systems
Identifiers
urn:nbn:se:ltu:diva-31906 (URN)10.1109/FIE.2015.7344221 (DOI)2-s2.0-84960435626 (Scopus ID)63af7b96-1799-4553-92a9-1a1a550cd0f4 (Local ID)978-1-4799-8454-1 (ISBN)63af7b96-1799-4553-92a9-1a1a550cd0f4 (Archive number)63af7b96-1799-4553-92a9-1a1a550cd0f4 (OAI)
Conference
Frontiers in Education Conference : 21/10/2015 - 24/10/2015
Note

Validerad; 2016; Nivå 1; 20160321 (andbra)

Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2018-07-10Bibliographically approved
Nellros, F., Thurley, M., Jonsson, H., Andersson, C. & Forsmo, S. (2015). Automated measurement of sintering degree in optical microscopy through image analysis of particle joins (ed.). Paper presented at . Pattern Recognition, 48(11), 3451-3465
Open this publication in new window or tab >>Automated measurement of sintering degree in optical microscopy through image analysis of particle joins
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2015 (English)In: Pattern Recognition, ISSN 0031-3203, E-ISSN 1873-5142, Vol. 48, no 11, p. 3451-3465Article in journal (Refereed) Published
Abstract [en]

In general terms, sintering describes the bonding of particles into a more coherent structure, where joins form between packed particles, usually as a result of heating. Characterization of sintering is an important topic in the fields of metallurgy, steel, iron ore pellets, ceramics, and snow for understanding material properties and material strength. Characterization using image analysis has been applied in a number of these fields but is either semi-automatic, requiring human interaction in the analysis, or based on statistical sampling and stereology to characterize the sample. This paper presents a novel fully automatic image analysis algorithm to analyze and determine the degree of sintering based on analysis of the particle joins and structure. Quantitative image analysis of the sintering degree is demonstrated for samples of iron ore pellets but could be readily applied to other packed particle materials. Microscope images of polished cross-sections of iron ore pellets have been imaged in their entirety and automated analysis of hundreds of images has been performed. Joins between particles have been identified based on morphological image processing and features have been calculated based on the geometric properties and curvature of these joins. The features have been analyzed and determined to hold discriminative power by displaying properties consistent with sintering theory and results from traditional pellet diameter measurements on the heated samples, and a statistical evaluation using the Welch t-test.

National Category
Signal Processing Computer Sciences
Research subject
Signal Processing; Dependable Communication and Computation Systems
Identifiers
urn:nbn:se:ltu:diva-12912 (URN)10.1016/j.patcog.2015.05.012 (DOI)000359028900015 ()2-s2.0-84937814900 (Scopus ID)c0f7d54d-414d-4f70-9a87-df78138249b5 (Local ID)c0f7d54d-414d-4f70-9a87-df78138249b5 (Archive number)c0f7d54d-414d-4f70-9a87-df78138249b5 (OAI)
Projects
HLRC PIA - Automated Image Analysis for Quantitative Characterisation of Iron Ore Pellet Structures
Note
Validerad; 2015; Nivå 2; 20130224 (frinel)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-07-10Bibliographically approved
Landström, A., Thurley, M. & Jonsson, H. (2014). Adaptive Morphological Filtering of Incomplete Data (ed.). In: (Ed.), (Ed.), 2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA 2013): Hobart, Australia, 26-28 Nov. 2013. Paper presented at International Conference on Digital Image Computing: Techniques and Applications : 26/11/2013 - 28/11/2013. Piscataway, NJ: IEEE Communications Society, Article ID 6691479.
Open this publication in new window or tab >>Adaptive Morphological Filtering of Incomplete Data
2014 (English)In: 2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA 2013): Hobart, Australia, 26-28 Nov. 2013, Piscataway, NJ: IEEE Communications Society, 2014, article id 6691479Conference paper, Published paper (Refereed)
Abstract [en]

We demonstrate how known convolution techniques for uncertain data can be used to set the shapes of structuring elements in adaptive mathematical morphology, enabling robust morphological processing of partially occluded or otherwise incomplete data. Results are presented for filtering of both gray-scale images containing missing data and 3D profile data where information is missing due to occlusion effects. The latter demonstrates the intended use of the method: enhancement of crack signatures in a surface inspection system for casted steel.The presented method is able to disregard unreliable data in a systematic and robust way, enabling adaptive morphological processing of the available information while avoiding any false edges or other unwanted features introduced by the values of faulty pixels.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2014
Keywords
Mathematical morphology, Adaptive morphology, Normalized convolution, Occluded data, Information technology - Signal processing, Informationsteknik - Signalbehandling
National Category
Signal Processing Computer Sciences
Research subject
Signal Processing; Dependable Communication and Computation Systems
Identifiers
urn:nbn:se:ltu:diva-28194 (URN)10.1109/DICTA.2013.6691479 (DOI)2-s2.0-84893230035 (Scopus ID)1e921f6a-404e-4f47-9d93-5c4db6d3aa23 (Local ID)9781479921263 (ISBN)1e921f6a-404e-4f47-9d93-5c4db6d3aa23 (Archive number)1e921f6a-404e-4f47-9d93-5c4db6d3aa23 (OAI)
Conference
International Conference on Digital Image Computing: Techniques and Applications : 26/11/2013 - 28/11/2013
Note
Godkänd; 2014; 20130923 (andlan)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2018-07-10Bibliographically approved
Jonsson, H. (2014). Användning av MOOC-verktyg i en campuskurs om objektorienterad programmering och design (ed.). In: (Ed.), (Ed.), NU 2014: Umeå 8-10 oktober : abstracts. Paper presented at NU 2014 : 08/10/2014 - 10/10/2014 (pp. 202). Umeå: Umeå universitet. Pedagogiska institutionen
Open this publication in new window or tab >>Användning av MOOC-verktyg i en campuskurs om objektorienterad programmering och design
2014 (Swedish)In: NU 2014: Umeå 8-10 oktober : abstracts, Umeå: Umeå universitet. Pedagogiska institutionen , 2014, p. 202-Conference paper, Meeting abstract (Refereed)
Place, publisher, year, edition, pages
Umeå: Umeå universitet. Pedagogiska institutionen, 2014
National Category
Computer Sciences
Research subject
Dependable Communication and Computation Systems
Identifiers
urn:nbn:se:ltu:diva-31475 (URN)5a82535c-bef3-434a-b0b5-e71e5297610c (Local ID)5a82535c-bef3-434a-b0b5-e71e5297610c (Archive number)5a82535c-bef3-434a-b0b5-e71e5297610c (OAI)
Conference
NU 2014 : 08/10/2014 - 10/10/2014
Note
Godkänd; 2014; 20141010 (andbra)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2018-01-14Bibliographically approved
Kikhia, B., Boytsov, A., Hallberg, J., Sani, Z. u., Jonsson, H. & Synnes, K. (2014). Structuring and Presenting Lifelogs based on Location Data (ed.). In: (Ed.), Pietro Cipresso; Alaksandar Matic; Guillaume Lopez (Ed.), Pervasive Computing Paradigms for Mental Health: 4th International Symposium, MindCare 2014, Tokyo, Japan, May 8-9, 2014, Revised Selected Papers. Paper presented at Mindcare : 4th International Symposium on Pervasive Computing Paradigms for Mental Health 08/05/2014 - 09/05/2014 (pp. 133-144). Cham: Encyclopedia of Global Archaeology/Springer Verlag
Open this publication in new window or tab >>Structuring and Presenting Lifelogs based on Location Data
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2014 (English)In: Pervasive Computing Paradigms for Mental Health: 4th International Symposium, MindCare 2014, Tokyo, Japan, May 8-9, 2014, Revised Selected Papers / [ed] Pietro Cipresso; Alaksandar Matic; Guillaume Lopez, Cham: Encyclopedia of Global Archaeology/Springer Verlag, 2014, p. 133-144Conference paper, Published paper (Refereed)
Abstract [en]

Lifelogging techniques help individuals to log their life and retrieve important events, memories and experiences. Structuring lifelogs is a major challenge in lifelogging systems since the system should present the logs in a concise and meaningful way to the user. In this paper the authors present an approach for structuring lifelogs as places and activities based on location data. The structured lifelogs are achieved using a combination of density-based clustering algorithms and convex hull construction to identify the places of interest. The periods of time where the user lingers at the same place are then identified as possible activities. In addition to structuring lifelogs the authors present an application in which images are associated to the structuring results and presented to the user for reviewing. The system is evaluated through a user study consisting of 12 users, who used the system for 1 day and then answered a survey. The proposed approach in this paper allows automatic inference of information about significant places and activities, which generates structured image-annotated logs of everyday life.

Place, publisher, year, edition, pages
Cham: Encyclopedia of Global Archaeology/Springer Verlag, 2014
Series
Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, ISSN 1867-8211 ; 100
National Category
Media and Communication Technology Other Health Sciences Computer Sciences
Research subject
Mobile and Pervasive Computing; Health Science; Dependable Communication and Computation Systems
Identifiers
urn:nbn:se:ltu:diva-32667 (URN)10.1007/978-3-319-11564-1_14 (DOI)000349600800014 ()84910645111 (Scopus ID)7399f549-ac8d-4192-940d-d82b66db8791 (Local ID)978-3-319-11563-4 (ISBN)7399f549-ac8d-4192-940d-d82b66db8791 (Archive number)7399f549-ac8d-4192-940d-d82b66db8791 (OAI)
Conference
Mindcare : 4th International Symposium on Pervasive Computing Paradigms for Mental Health 08/05/2014 - 09/05/2014
Note
Godkänd; 2014; 20140328 (basel)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2018-07-10Bibliographically approved
Landström, A., Thurley, M. & Jonsson, H. (2014). Sub-millimeter crack detection in casted steel using color photometric stereo (ed.). In: (Ed.), (Ed.), 2013 International Conference on Digital Image Computing Techniques and Applications (DICTA 2013: Hobart, Australia, 26-28 November 2013. Paper presented at International Conference on Digital Image Computing: Techniques and Applications : 26/11/2013 - 28/11/2013. Piscataway, NJ: IEEE Communications Society, Article ID 6691532.
Open this publication in new window or tab >>Sub-millimeter crack detection in casted steel using color photometric stereo
2014 (English)In: 2013 International Conference on Digital Image Computing Techniques and Applications (DICTA 2013: Hobart, Australia, 26-28 November 2013, Piscataway, NJ: IEEE Communications Society, 2014, article id 6691532Conference paper, Published paper (Refereed)
Abstract [en]

A novel method for automated inspection of small corner cracks in casted steel is presented, using a photometric stereo setup consisting of two light sources of different colors in conjunction with a line-scan camera. The resulting image is separated into two different reflection patterns which are used to cancel shadow effects and estimate the surface gradient. Statistical methods are used to first segment the image and then provide an estimated crack probability for each segmented region. Results show that true cracks are successfully assigned a high crack probability, while only a minor proportion of other regions cause similar probability values. About 80% of the cracks present in the segmented regions are given a crack probability higher than 70%, while the corresponding number for other non-crack regions is only 5%. The segmented regions contain over 70% of the manually identified crack pixels. We thereby provide proof-of-concept for the presented method.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2014
Keywords
Surface insepction, Crack detection, Photometric stereo, Information technology - Signal processing, Informationsteknik - Signalbehandling
National Category
Signal Processing Computer Sciences
Research subject
Signal Processing; Dependable Communication and Computation Systems
Identifiers
urn:nbn:se:ltu:diva-32150 (URN)10.1109/DICTA.2013.6691532 (DOI)2-s2.0-84893230448 (Scopus ID)68a4cc64-db20-4442-8ab8-62fd3335615d (Local ID)978-1-4799-2128-7 (ISBN)68a4cc64-db20-4442-8ab8-62fd3335615d (Archive number)68a4cc64-db20-4442-8ab8-62fd3335615d (OAI)
Conference
International Conference on Digital Image Computing: Techniques and Applications : 26/11/2013 - 28/11/2013
Projects
VSB - Vision Systems Business Development Platform
Note
Godkänd; 2014; 20130923 (andlan)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2018-07-10Bibliographically approved
Jonsson, H. (2013). Motivating and Preparing First-Year Students in Computer and Engineering Science (ed.). In: (Ed.), (Ed.), 2013 Frontiers in Education Conference (FIE 2013): Oklahoma City, Olöahoma, USA, 23-26 October 2013. Paper presented at Annual Frontiers in Education Conference : 23/10/2013 - 26/10/2013 (pp. 1096-1102). Piscataway, NJ: IEEE Communications Society
Open this publication in new window or tab >>Motivating and Preparing First-Year Students in Computer and Engineering Science
2013 (English)In: 2013 Frontiers in Education Conference (FIE 2013): Oklahoma City, Olöahoma, USA, 23-26 October 2013, Piscataway, NJ: IEEE Communications Society, 2013, p. 1096-1102Conference paper, Published paper (Refereed)
Abstract [en]

During recent years the interest in Engineering Studies has declined at universities both in the United States and in many Western European countries including Sweden. In addition, among those students that do enroll, an increasing number drop-out. This paper presents an attempt to mitigate these worrying problems in the form of a new kind of intro- ductory course for first-year engineering students studying on a 5-year long Master of Science program in Computer Science and Engineering. The course is novel in that it takes a holistic approach to motivate and prepare students for their further studies. Core subjects and useful tools are mixed together into an intense 10-week course with 12 separate course modules on different topics, often running in parallel. The course has a total of 21 individual examinations to take, tasks to carry out, and deadlines to meet. The examinations and tasks are chosen among those common in our School of Engineering. Evaluations show that, although demanding for the students, the course works well and fulfills its goals.

Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2013
Series
Frontiers in Education Conference. Conference Proceedings, ISSN 1539-4565
National Category
Computer Sciences
Research subject
Dependable Communication and Computation Systems
Identifiers
urn:nbn:se:ltu:diva-39160 (URN)10.1109/FIE.2013.6684997 (DOI)2-s2.0-84893236475 (Scopus ID)dccc94ea-dd99-45f4-9a43-2025b1b15ea5 (Local ID)dccc94ea-dd99-45f4-9a43-2025b1b15ea5 (Archive number)dccc94ea-dd99-45f4-9a43-2025b1b15ea5 (OAI)
Conference
Annual Frontiers in Education Conference : 23/10/2013 - 26/10/2013
Note
Godkänd; 2014; 20131007 (hj)Available from: 2016-10-03 Created: 2016-10-03 Last updated: 2018-07-10Bibliographically approved
Thurley, M., Nellros, F. & Jonsson, H. (2012). Project: HLRC PIA - Automated Image Analysis for Quantitative Characterisation of Iron Ore Pellet Structures. Paper presented at .
Open this publication in new window or tab >>Project: HLRC PIA - Automated Image Analysis for Quantitative Characterisation of Iron Ore Pellet Structures
2012 (English)Other (Other (popular science, discussion, etc.))
National Category
Signal Processing Computer Sciences
Research subject
Signal Processing; Dependable Communication and Computation Systems
Identifiers
urn:nbn:se:ltu:diva-36307 (URN)f0156c4c-2592-4e2b-bf47-88a2cd5bf4df (Local ID)f0156c4c-2592-4e2b-bf47-88a2cd5bf4df (Archive number)f0156c4c-2592-4e2b-bf47-88a2cd5bf4df (OAI)
Note

Publikationer: Automated measurement of sintering degree in optical microscopy through image analysis of particle joins; Automated image analysis of iron-ore pellet structure using optical microscopy; Status: Pågående; Period: 01/02/2011 → 01/06/2015

Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2018-01-14Bibliographically approved
Thurley, M., Jonsson, H. & Landström, A. (2012). Project: VSB - Vision Systems Business Development Platform. Paper presented at .
Open this publication in new window or tab >>Project: VSB - Vision Systems Business Development Platform
2012 (English)Other (Other (popular science, discussion, etc.))
National Category
Signal Processing Computer Sciences
Research subject
Signal Processing; Dependable Communication and Computation Systems
Identifiers
urn:nbn:se:ltu:diva-36179 (URN)9b7d0903-8c8a-40df-aef5-86e4662d3ca3 (Local ID)9b7d0903-8c8a-40df-aef5-86e4662d3ca3 (Archive number)9b7d0903-8c8a-40df-aef5-86e4662d3ca3 (OAI)
Note

Publikationer: Fast morphological image processing open-source extensions for GPU processing with CUDA; Automated, on-line, calibration-free, particle size measurement using 3D profile data; Automated image segmentation and analysis of rock piles in an open-pit mine; Measuring the visible particles for automated online particle size distribution estimation; Sub-millimeter crack detection in casted steel using color photometric stereo; Status: Avslutat; Period: 01/05/2012 → 30/06/2014

Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2018-01-14Bibliographically approved
Kikhia, B., Boytsov, A., Hallberg, J., Sani, Z. u., Jonsson, H. & Synnes, K. (2012). Structuring and presenting lifelogs based on location data (ed.). Paper presented at .
Open this publication in new window or tab >>Structuring and presenting lifelogs based on location data
Show others...
2012 (English)Report (Other academic)
Abstract [en]

Lifelogging techniques help individuals to log their life and retrieve important events, memories and experiences. Structuring lifelogs is a major challenge in lifelogging systems since the system should present the logs in a concise and meaningful way to the user. In this article the authors present a novel approach for structuring lifelogs as places and activities based on location data. The structured lifelogs are achieved using a combination of density-based clustering algorithms and convex hull construction to identify the places of interest. The periods of time where the user lingers at the same place are then identified as possible activities. In addition to structuring lifelogs the authors present an application in which images are associated to the structuring results and presented to the user for reviewing. The proposed approach allows automatic inference of information about significant places and activities, which generates structured image-annotated logs of everyday life.

Publisher
p. 19
Keywords
activity recognition, activity inference, lifelogging, clustering algorithms, SenseCam, GPS, Information technology - Computer science, Informationsteknik - Datorvetenskap
National Category
Media and Communication Technology Other Health Sciences Computer Sciences
Research subject
Pervasive Mobile Computing; Health Science; Dependable Communication and Computation Systems; Centre - eHealth Innovation Centre (EIC)
Identifiers
urn:nbn:se:ltu:diva-22631 (URN)394deb46-c865-4a03-9457-90beee116fa2 (Local ID)394deb46-c865-4a03-9457-90beee116fa2 (Archive number)394deb46-c865-4a03-9457-90beee116fa2 (OAI)
Note

Godkänd; 2012; 20121030 (andboy)

Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2019-03-20Bibliographically approved
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