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  • 1.
    Erikson, Henrik
    et al.
    Department of Nursing and Care, Swedish Red Cross University College, Stockholm, Sweden.
    Salzmann-Erikson, Martin
    University of Gävle, Faculty of Health and Occupational Studies, Department of Health and Caring Sciences, Caring science.
    Future Challenges of Robotics and Artificial Intelligence in Nursing: What Can We Learn from Monsters in Popular Culture?2016In: The Permanente Journal, ISSN 1552-5767, E-ISSN 1552-5775, Vol. 20, no 3, article id 15-243Article in journal (Refereed)
    Abstract [en]

    It is highly likely that artificial intelligence (AI) will be implemented in nursing robotics in various forms, both in medical and surgical robotic instruments, but also as different types of droids and humanoids, physical reinforcements, and also animal/pet robots. Exploring and discussing AI and robotics in nursing and health care before these tools become commonplace is of great importance. We propose that monsters in popular culture might be studied with the hope of learning about situations and relationships that generate empathic capacities in their monstrous existences. The aim of the article is to introduce the theoretical framework and assumptions behind this idea. Both robots and monsters are posthuman creations. The knowledge we present here gives ideas about how nursing science can address the postmodern, technologic, and global world to come. Monsters therefore serve as an entrance to explore technologic innovations such as AI. Analyzing when and why monsters step out of character can provide important insights into the conceptualization of caring and nursing as a science, which is important for discussing these empathic protocols, as well as more general insight into human knowledge. The relationship between caring, monsters, robotics, and AI is not as farfetched as it might seem at first glance.

  • 2.
    Haider, Usman
    et al.
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics.
    Nyoman, Indrawibawa I.
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics.
    Kim, Chanki
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics.
    Masud, Nauman
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics.
    Virk, Gurvinder Singh
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics.
    Coronado, J. L.
    University of Polytechnic, Cartagena, Spain.
    Modular EXO-LEGS for mobility of elderly persons2017In: Advances in Cooperative Robotics: Proceedings of the 19th International Conference in CLAWAR 2016, Singapore: World Scientific, 2017, p. 851-859Conference paper (Refereed)
    Abstract [en]

    The paper presents details of the AAL Call 4 EXO-LEGS project aimed at developing and testing lower body assistive exoskeletons to help elderly persons perform daily living activities independently such as stable standing, sit-to-stand transfers and straight walking. The key components needed have been realized using mobility requirements and design preferences provided by an end user group comprising 118 members via 5 surveys. Modular human-centric concepts are followed for mechanical design, sensing and actuation, system integration, etc., to realize a BASIC exoskeleton prototype able to provide up to 30% power to assist the human perform the intended motions. Two ethical approvals have been obtained to involve end users in the research, development and test phases of the project. To date, 5 test subjects have tested the exoskeleton prototype in walking and the sit-to-stand test; summary results are presented in this paper.

  • 3.
    Kozlowski, K.
    et al.
    Poznan University of Technology, Poland.
    Tokhi, M. O.
    University of Sheffield, United Kingdom.
    Virk, Gurvinder Singh
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics.
    Preface2014In: Mobile service robotics: Proceedings of the 17th International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines / [ed] Kozlowski, K; Tokhi, MO; Virk, GS, 2014, p. v-viConference paper (Refereed)
  • 4.
    Liu, Fei
    et al.
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Development, IT and Land Management, Computer science.
    Seipel, Stefan
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Development, IT and Land Management, Computer science.
    Detection of Line Features in Digital Images of Building Structures2012In: Proceedings of IADIS International Conference Computer Graphics, Visualization, Computer Vision and Image Processing 2012 (CGVCVIP 2012) / [ed] Yingcai Xiao, 2012, p. 163-167Conference paper (Refereed)
    Abstract [en]

    This paper describes method for detection of short line segments in digital images. It aims at identifying buildingsin images taken from the ground view. The process starts with the image edge map and is carried out in twodifferent levels. One is to detect long line segments usually stemming from façade edges and building silhouettes.The other one identifies shorter line segments which typically represent architectural details such as windows andentrances. Selected individual connected components in both vertical and horizontal gradient component mapsare used respectively as input to the Hough transform at this level. Our first result shows that this method iscapable of recognizing lines of interest but has also included many randomly oriented lines. The next step will beto eliminate the random line segments and correlate line segments of the two levels to classify high-level features ofbuildings in an image.

  • 5.
    Liu, Fei
    et al.
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Development, IT and Land Management, Computer science. Centre for Image Analysis, Uppsala University, Uppsala, Sweden.
    Seipel, Stefan
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Development, IT and Land Management, Computer science. Centre for Image Analysis, Uppsala University, Uppsala, Sweden.
    Infrared-visible image registration for augmented reality-based thermographic building diagnostics2015In: Visualization in Engineering, ISSN 2213-7459, Vol. 3, no 1, article id 16Article in journal (Refereed)
    Abstract [en]

    Background: In virtue of their capability to measure temperature, thermal infrared cameras have been widely used in building diagnostics for detecting heat loss, air leakage, water damage etc. However, the lack of visual details in thermal infrared images makes the complement of visible images a necessity. Therefore, it is often useful to register images of these two modalities for further inspection of architectures. Augmented reality (AR) technology, which supplements the real world with virtual objects, offers an ideal tool for presenting the combined results of thermal infrared and visible images. This paper addresses the problem of registering thermal infrared and visible façade images, which is essential towards developing an AR-based building diagnostics application. Methods: A novel quadrilateral feature is devised for this task, which models the shapes of commonly present façade elements, such as windows. The features result from grouping edge line segments with the help of image perspective information, namely, vanishing points. Our method adopts a forward selection algorithm to determine feature correspondences needed for estimating the transformation model. During the formation of the feature correspondence set, the correctness of selected feature correspondences at each step is verified by the quality of the resulting registration, which is based on the ratio of areas between the transformed features and the reference features. Results and conclusions: Quantitative evaluation of our method shows that registration errors are lower than errors reported in similar studies and registration performance is usable for most tasks in thermographic inspection of building façades.

  • 6.
    Tavakoli, Saman
    University of Gävle, Department of Technology and Built Environment.
    Construction of a solid 3D model of geology in Sardinia using GIS methods2009Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesis
    Abstract [en]

    Abstract

    3D visualization of geological structures is a very efficient way to create a good understanding of geological features. It is not only an illustrative way for common people, but also a comprehensive method to interpret results of the work. Geologists, geophysics engineers and GIS experts sometimes need to visualize an area to accomplish their researches. It can show how sample data are distributed over the area and therefore they can be applied as suitable approach to validate the result. Among different 3D modeling methods, some are expensive or complicated. Therefore, such a methodology enabling easy and cheap creation of a 3D construction is highly demanded.

    However, several obstacles have been faced during the process of constructing a 3D model of geology. The main debate over suitable interpolation methods is the fact that 3D modelers may face discrepancies leading to different results even when they are working with the same set of data. Furthermore, most often part of data can be source of errors, themselves. Hence, it is extremely important to decide whether to omit those data or adopt another strategy. However, even after considering all these points, still the work may not be accurate enough to be used for scientific researches if the interpretation of work is not done precisely. This research sought to explain an approach for 3D modeling of Sedini platform in Sardinia, Italy. GIS was used as a flexible software together with Surfer and Voxler. Data manipulation, geodatabase creation and interpolation test all have been done with aid of GIS. A variety of interpolation methods available in Surfer were used to opt suitable method together with Arc view.

    A solid 3D model is created in Voxler environment. In Voxler, in contrary to many other 3D types of software there are four components needed to construct 3D. C value as 4th component except for XYZ coordinates was used to differentiate special features in platform and do gridding based on chosen value. With the aid of C value, one can mark layer of interest to identify it from other layers.

    The final result shows a 3D solid model of the Sedini platform including both surfaces and subsurfaces. An Isosurface with its unique value (Isovalue) can mark layer of interest and make it easy to interpret the results. However, the errors in some parts of model are also noticeable. Since data acquisition was done for studying geology and mineralogy characteristics of the area, there is less number of data points collected per volume according to the main goals of the initial project. Moreover, in some parts of geological border lines, the density of sample points is not high enough to estimate accurate location of lines.

    The study result can be applicable in a broad range of geological studies. Resource evaluation, geomorphology, structural geology and GIS are only a few examples of its application. The results of the study can be compared to the results of similar works where different softwares have been used so as to comprehend pros and cons of each as well as appropriate application of each software for a special task.

     

     

    Keywords: GIS, Image Interpretation, Geodatabase, Geology, Interpolation, 3D Modeling

     

     

     

  • 7.
    Tokhi, Mohammad O.
    et al.
    University of Sheffield, UK.
    Virk, Gurvinder S.University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics. KTH; CLAWAR.
    Advances in Cooperative Robotics: Proceedings of the 19th International Conference on CLAWAR 20162017Conference proceedings (editor) (Refereed)
  • 8.
    Virk, Gurvinder S.
    et al.
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Electronics, Mathematics and Natural Sciences, Electronics. KTH Royal Institute Technology, CLAWAR, United Kingdom; KTH Royal Institute Technology, CLAWAR, Sweden.
    Park, Hong Seong
    Kangwon National University, Gangwon Do, South Korea..
    Yang, Shuping
    Beijing Research Institute of Automation for Machinery Industry, Beijing, China.
    Wang, Jason
    Beijing E-Cube Technologies Co Ltd, Beijing, China..
    ISO modularity for service robots2017In: Advances in Cooperative Robotics: Proceedings of the 19th International Conference in CLAWAR 2016 / [ed] M. Tokhi and G. S. Virk, Singapore: World Scientific, 2017, p. 663-671Conference paper (Refereed)
    Abstract [en]

    Robot modularity has been an active area of research for several years and many innovative solutions have been developed which have as yet, not made significant impact on the world stage. To assist market developments, ISO robot modularity standardization was started in 2012 and the current paper presents an overview of the work to develop plug-n-play robot module specifications for service robots. Key definitions are presented together with generic modularization issues which have been identified for service robots.

  • 9.
    Wahlberg, Fredrik
    et al.
    Uppsala universitet, Avdelningen för visuell information och interaktion.
    Brun, Anders
    Uppsala universitet, Avdelningen för visuell information och interaktion.
    Mårtensson, Lasse
    University of Gävle, Faculty of Education and Business Studies, Department of Humanities, Swedish and Gender studies.
    Writer identification using the Quill-Curvature feature in old manuscripts2015In: Proceedings of SSBA, 2015, 2015Conference paper (Other academic)
  • 10.
    Wahlberg, Fredrik
    et al.
    Uppsala universitet, Avdelningen för visuell information och interaktion.
    Dahllöf, Mats
    Uppsala universitet, Institutionen för lingvistik och filologi.
    Mårtensson, Lasse
    Uppsala universitet, Institutionen för nordiska språk.
    Brun, Anders
    Uppsala universitet, Avdelningen för visuell information och interaktion.
    Word Spotting in Pre-Modern Manuscripts using Dynamic Time Warping2012In: Proceedings of SSBA, 2012, 2012Conference paper (Other academic)
  • 11.
    Wahlberg, Fredrik
    et al.
    Uppsala universitet, Avdelningen för visuell information och interaktion.
    Mårtensson, Lasse
    University of Gävle, Faculty of Education and Business Studies, Department of Humanities, Swedish and Gender studies.
    Brun, Anders
    Uppsala universitet, Avdelningen för visuell information och interaktion.
    Estimating manuscript production dates using both image and language data2016In: Proceedings of SSBA, 2016, 2016Conference paper (Other academic)
  • 12.
    Winkler Pettersson, Lars
    et al.
    Informationsteknologi, Uppsala universitet.
    Kjellin, Andreas
    Informationsvetenskap, Uppsala universitet.
    Lind, Mats
    Informationsvetenskap, Uppsala universitet.
    Seipel, Stefan
    Informationsvetenskap, Uppsala universitet.
    On the role of visual references in collaborative visualization2009In: Information Visualization, ISSN 1473-8716, E-ISSN 1473-8724, Vol. 9, no 2, p. 98-114Article in journal (Refereed)
    Abstract [en]

    Multi-Viewer Display Environments (MVDE) provide unique opportunities to present personalized information to several users concurrently in the same physical display space. MVDEs can support correct 3D visualizations to multiple users, present correctly oriented text and symbols to all viewers and allow individually chosen subsets of information in a shared context. MVDEs aim at supporting collaborative visual analysis, and when used to visualize disjoint information in partitioned visualizations they even necessitate collaboration. When solving visual tasks collaboratively in a MVDE, overall performance is affected not only by the inherent effects of the graphical presentation but also by the interaction between the collaborating users.

    We present results from an empirical study where we compared views with lack of shared visual references in disjoint sets of information to views with mutually shared information. Potential benefits of 2D and 3D visualizations in a collaborative task were investigated and the effects of partitioning visualizations both in terms of task performance, interaction behavior and clutter reduction. In our study of a collaborative task that required only a minimum of information to be shared, we found that partitioned views with a lack of shared visual references were significantly less efficient than integrated views. However, the study showed that subjects were equally capable of solving the task at low error levels in partitioned and integrated views. An explorative analysis revealed that the amount of visual clutter was reduced heavily in partitioned visualization, whereas verbal and deictic communication between subjects increased. It also showed that the type of the visualization (2D/3D) affects interaction behavior strongly. An interesting result is that collaboration on complex geo-time visualizations is actually as efficient in 2D as in 3D.

  • 13.
    Åhlén, Julia
    et al.
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Development, IT and Land Management, Land management, GIS.
    Seipel, Stefan
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Development, IT and Land Management, Computer science. Uppsala University, Department of Information Technology, Sweden .
    Automatic water body extraction from remote sensing images using entropy2015In: Proceedings of the International Multidisciplinary Scientific GeoConference SGEM, 2015, Vol. 4, p. 517-524Conference paper (Refereed)
    Abstract [en]

    This research focuses on automatic extraction of river banks and other inland waters from remote sensing images. There are no up to date accessible databases of rivers and most of other waters objects for modelling purposes. The main reason for that is that some regions are hard to access with the traditional ground through techniques and thus the boundary of river banks are uncertain in many geographical positions. The other reason is the limitations of widely applied method for extraction of water bodies called normalized-difference water index (NDWI). There is a novel approach to extract water bodies, which is based on pixel level variability or entropy, however, the methods work somewhat satisfactory on high spatial resolution images, there is no verification of the method performance on moderate or low resolution images. Problems encounter identification of mixed water pixels and e.g. roads, which are built in attachment to river banks and thus can be classified as rivers. In this work we propose an automatic extraction of river banks using image entropy, combined with NDWI identification. In this study only moderate spatial resolution Landsat TM are tested. Areas of interest include both major river banks and inland lakes. Calculating entropy on such poor spatial resolution images will lead to misinterpretation of water bodies, which all exhibits the same small variation of pixel values as e.g. some open or urban areas. Image entropy thus is calculated with the modification that involves the incorporation of local normalization index or variability coefficient. NDWI will produce an image where clear water exhibits large difference comparing to other land features. We are presenting an algorithm that uses an NDWI prior to entropy processing, so that bands used to calculate it, are chosen in clear connection to water body features that are clearly discernible.As a result we visualize a clear segmentation of the water bodies from the remote sensing images and verify the coordinates with a given geographic reference.

  • 14.
    Åhlén, Julia
    et al.
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Development, IT and Land Management, Urban and regional planning/GIS-institute.
    Seipel, Stefan
    University of Gävle, Faculty of Engineering and Sustainable Development, Department of Industrial Development, IT and Land Management, Computer science.
    Early Recognition of Smoke in Digital Video2010In: Advances in Communications, Computers, Systems, Circuits and Devices: European Conference of Systems, ECS'10, European Conference of Circuits Technology and Devices, ECCTD'10, European Conference of Communications, ECCOM'10, ECCS'10 / [ed] Mladenov, V; Psarris, K; Mastorakis, N; Caballero, A; Vachtsevanos, G, Athens: World Scientific and Engineering Academy and Society, 2010, p. 301-306Conference paper (Refereed)
    Abstract [en]

    This paper presents a method for direct smoke detection from video without enhancement pre-processing steps. Smoke is characterized by transparency, gray color and irregularities in motion, which are hard to describe with the basic image features. A method for robust smoke description using a color balancing algorithm and turbulence calculation is presented in this work. Background extraction is used as a first step in processing. All moving objects are candidates for smoke. We make use of Gray World algorithm and compare the results with the original video sequence in order to extract image features within some particular gray scale interval. As a last step we calculate shape complexity of turbulent phenomena and apply it to the incoming video stream. As a result we extract only smoke from the video. Features such shadows, illumination changes and people will not be mistaken for smoke by the algorithm. This method gives an early indication of smoke in the observed scene.

  • 15.
    Åhlén, Julia
    et al.
    Uppsala universitet.
    Sundgren, David
    Stockholms universitet.
    Bottom Reflectance Influence on a Color Correction Algorithm for Underwater Images2003In: Proceedings of the 13th Scandinavinan Conference on Image Analysis / [ed] Bigun, J., Gustavsson, T., Berlin: Springer , 2003, p. 922-926Conference paper (Refereed)
    Abstract [en]

    Diminishing the negative effects of water column introduced on digital underwater images is the aim of a color correction algorithm presented by the authors in a previous paper. The present paper describes an experimental result and set of calculations for determining the impact of bottom reflectance on the algorithm's performance. This concept is based on the estimation of the relative reflectance of various bottom types such as sand, bleached corals and algae. We describe the adverse effects of extremely low and high bottom reflectances on the algorithm.

  • 16.
    Åhlén, Julia
    et al.
    University of Gävle, Department of Mathematics, Natural and Computer Sciences, Ämnesavdelningen för datavetenskap.
    Sundgren, David
    University of Gävle, Department of Mathematics, Natural and Computer Sciences, Ämnesavdelningen för matematik och statistik.
    Bengtsson, Ewert
    Pre-Processing of Underwater Images Taken in Shallow Waters for Color Reconstruction Purposes2005In: Proceedings of the 7th IASTED International Conference on Signal and Image Processing, 2005Conference paper (Refereed)
    Abstract [en]

    Coral reefs are monitored with different techniques in order to examine their health. Digital cameras, which provide an economically defendable tool for marine scientists to collect underwater data, tend to produce bluish images due to severe absorption of light at longer wavelengths. In this paper we study the possibilities of correcting for this color distortion through image processing. The decrease of red light by depth can be predicted by Beer's law. Another parameter that has to be taken into account is the image enhancement functions built into the camera. We use a spectrometer and a reflectance standard to obtain the data needed to approximate the joint effect of these functions. This model is used to pre-process the underwater images taken by digital cameras so that the red, green and blue channels show correct values before the images are subjected to correction for the effects of water column through application of Beer's law. This process is fully automatic and the amount of processed images is limited only by the speed of computer system. Experimental results show that the proposed method works well for correcting images taken at different depths with two different cameras.

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