| 1. |
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| 2. |
- Bangemann, Thomas, et al.
(författare)
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State of the Art in Industrial Automation
- 2014
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Ingår i: Industrial Cloud-Based Cyber-Physical Systems. - Cham : Encyclopedia of Global Archaeology/Springer Verlag. - 9783319056234 - 9783319056241 ; , s. 23-47
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Bokkapitel (refereegranskat)abstract
- In the last decades, industrial automation has become a driving force in all production systems. Technologies and architectures have emerged alongside the growing organisational structures of production plants. Every innovation had to start from the latest state-of-the-art systems within the respective domain. While investigating the introduction of service-oriented architectures to automation, and even down to the shop floor, one has to consider latest standards, proofed technologies, industrial solutions and latest research works in the automation domain. This chapter tries, without any claim to completeness, to provide a short summary of today’s situation and trends in automation.
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| 3. |
- Carlsson, Anders, et al.
(författare)
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Plasma proteome profiling reveals biomarker patterns associated with prognosis and therapy selection in glioblastoma multiforme patients
- 2010
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Ingår i: Proteomics Clinical Applications. - : Wiley. - 1862-8354 .- 1862-8346. ; 4:6-7, s. 591-602
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Tidskriftsartikel (refereegranskat)abstract
- Purpose: Glioblastoma multiforme (GBM) is a frequent and aggressive type of primary brain tumor with a heterogeneous origin. GBM is highly therapy resistant and carries a dismal prognosis for the patient. The purpose of this discovery study was to define candidate plasma biomarker signatures for improved classification and novel means for selecting patients for refined individualized therapy. Experimental design: Here, we have for the first time investigated the applicability of large-scale recombinant antibody-based microarrays, targeting mainly immunoregulatory analytes, for sensitive and selective plasma protein profiling of GBM patients undergoing immunotherapy with autologous IFN-gamma transfected glioma cells Results: This proof-of-concept study showed that candidate plasma protein signatures associated with GBM were outlined that could be used for GBM classification, monitoring the effects of the immunotherapy as well as for stratifying patients according to the beneficial effect of the adopted immunotherapy Further, central key cytokines that could be utilized for optimization and/or refinement of the immunotherapeutic regime were indicated. Conclusions and clinical relevance: Candidate plasma proteins signatures associated with GBM was outlined, that could be used for GBM classification and for pre-operatively stratifying patients according to the beneficial effect of the adopted immunotherapy.
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| 4. |
- Carlsson, Thomas, et al.
(författare)
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Systemic administration of Neuregulin-1ß(1) protects dopaminergic neurons in a mouse model of Parkinson's disease.
- 2011
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Ingår i: Journal of Neurochemistry. - : Wiley. - 1471-4159 .- 0022-3042. ; 117:6, s. 1066-1074
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Tidskriftsartikel (refereegranskat)abstract
- Neuregulin-1 (Nrg1) is genetically linked to schizophrenia, a disease caused by neurodevelopmental imbalance in dopaminergic function. The Nrg1 receptor ErbB4 is abundantly expressed on midbrain dopaminergic neurons. Nrg1 has been shown to penetrate blood-brain barrier, and peripherally administered Nrg1 activates ErbB4 and leads to a persistent hyperdopaminergic state in neonatal mice. These data prompted us to study the effect of peripheral administration of Nrg1 in the context of Parkinson's disease, a neurodegenerative disorder affecting the dopaminergic system in the adult brain. We observed that systemic injections of the extracellular domain of Nrg1ß(1) (Nrg1ß(1) -ECD) increased dopamine levels in the substantia nigra and striatum of adult mice. Nrg1ß(1) -ECD injections also significantly protected the mouse nigrostriatal dopaminergic system morphologically and functionally against 6-hydroxydopamine-induced toxicity in vivo. Moreover, Nrg1ß(1) -ECD also protected human dopaminergic neurons in vitro against 6-hydroxydopamine. In conclusion, we have identified Nrg1ß(1) -ECD as a neurotrophic factor for adult mouse and human midbrain dopaminergic neurons with peripheral administratability, warranting further investigation as therapeutic option for PD patients.
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| 5. |
- Danielsson, Oscar, 1982-, et al.
(författare)
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Gated Classifiers : Boosting under high intra-class variation
- 2011
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Ingår i: Computer Vision and Pattern Recognition (CVPR), 2011 IEEE Conference on. - 9781457703935 ; , s. 2673-2680
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Konferensbidrag (refereegranskat)abstract
- In this paper we address the problem of using boosting (e.g. AdaBoost [7]) to classify a target class with significant intra-class variation against a large background class. This situation occurs for example when we want to recognize a visual object class against all other image patches. The boosting algorithm produces a strong classifier, which is a linear combination of weak classifiers. We observe that we often have sets of weak classifiers that individually fire on many examples of the target class but never fire together on those examples (i.e. their outputs are anti-correlated on the target class). Motivated by this observation we suggest a family of derived weak classifiers, termed gated classifiers, that suppress such combinations of weak classifiers. Gated classifiers can be used on top of any original weak learner. We run experiments on two popular datasets, showing that our method reduces the required number of weak classifiers by almost an order of magnitude, which in turn yields faster detectors. We experiment on synthetic data showing that gated classifiers enables more complex distributions to be represented. We hope that gated classifiers will extend the usefulness of boosted classifier cascades [29].
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| 6. |
- Danielsson, Oscar, 1982-, et al.
(författare)
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Generic Object Class Detection using Boosted Configurations of Oriented Edges
- 2010
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Ingår i: Computer Vision – ACCV 2010. - Berlin, Heidelberg : Springer Berlin/Heidelberg. - 9783642193088 ; , s. 1-14
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Konferensbidrag (refereegranskat)abstract
- In this paper we introduce a new representation for shape-based object class detection. This representation is based on very sparse and slightly flexible configurations of oriented edges. An ensemble of such configurations is learnt in a boosting framework. Each edge configuration can capture some local or global shape property of the target class and the representation is thus not limited to representing and detecting visual classes that have distinctive local structures. The representation is also able to handle significant intra-class variation. The representation allows for very efficient detection and can be learnt automatically from weakly labelled training images of the target class. The main drawback of the method is that, since its inductive bias is rather weak, it needs a comparatively large training set. We evaluate on a standard database [1] and when using a slightly extended training set, our method outperforms state of the art [2] on four out of five classes.
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| 7. |
- Danielsson, Oscar, 1982-, et al.
(författare)
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Generic Object Class Detection using Feature Maps
- 2011
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Ingår i: Proceedings of Scandinavian Conference on Image Analysis. - Berlin, Heidelberg : Springer Berlin Heidelberg. - 9783642212260 ; , s. 348-359
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Konferensbidrag (refereegranskat)abstract
- In this paper we describe an object class model and a detection scheme based on feature maps, i.e. binary images indicating occurrences of various local features. Any type of local feature and any number of features can be used to generate feature maps. The choice of which features to use can thus be adapted to the task at hand, without changing the general framework. An object class is represented by a boosted decision tree classifier (which may be cascaded) based on normalized distances to feature occurrences. The resulting object class model is essentially a linear combination of a set of flexible configurations of the features used. Within this framework we present an efficient detection scheme that uses a hierarchical search strategy. We demonstrate experimentally that this detection scheme yields a significant speedup compared to sliding window search. We evaluate the detection performance on a standard dataset [7], showing state of the art results. Features used in this paper include edges, corners, blobs and interest points.
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| 8. |
- Danielsson, Oscar, 1982-, et al.
(författare)
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Projectable Classifiers for Multi-View Object Class Recognition
- 2011
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Ingår i: 3rd International IEEE Workshop on 3D Representation and Recognition. - 9781467300636
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Konferensbidrag (refereegranskat)abstract
- We propose a multi-view object class modeling framework based on a simplified camera model and surfels (defined by a location and normal direction in a normalized 3D coordinate system) that mediate coarse correspondences between different views. Weak classifiers are learnt relative to the reference frames provided by the surfels. We describe a weak classifier that uses contour information when its corresponding surfel projects to a contour element in the image and color information when the face of the surfel is visible in the image. We emphasize that these weak classifiers can possibly take many different forms and use many different image features. Weak classifiers are combined using AdaBoost. We evaluate the method on a public dataset [8], showing promising results on categorization, recognition/detection, pose estimation and image synthesis.
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| 9. |
- Danielsson, Oscar, 1982-
(författare)
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Shape-based Representations and Boosting for Visual Object Class Detection : Models and methods for representaion and detection in single and multiple views
- 2011
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Doktorsavhandling (övrigt vetenskapligt/konstnärligt)abstract
- Detection of generic visual object classes (i.e. cars, dogs, mugs or people) in images is a task that humans are able to solve with remarkable ease. Unfortunately this has proven a very challenging task for computer vision. Thereason is that different instances of the same class may look very different, i.e. there is a high intra-class variation. There are several causes for intra-class variation; for example (1) the imaging conditions (e.g. lighting and exposure) may change, (2) different objects of the same class typically differ in shape and appearance, (3) the position of the object relative to the camera (i.e. the viewpoint) may change and (4) some objects are articulate and may change pose. In addition the background class, i.e. everything but the target object class, is very large. It is the combination of very high intra-class variation with a large background class that makes generic object class detection difficult. This thesis addresses this challenge within the AdaBoost framework. AdaBoost constructs an ensemble of weak classifiers to solve a given classification task and allows great flexibility in the design of these weak classifiers. This thesis proposes several types of weak classifiers that specifically target some of the causes of high intra-class variation. A multi-local classifier is proposed to capture global shape properties for object classes that lack discriminative local features, projectable classifiers are proposed to handle detection from multiple viewpoints and finally gated classifiers are proposed as a generic way to handle high intra-class variation in combination with a large background class. All proposed weak classifiers are evaluated on standard datasets to allow performance comparison to other related methods.
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| 10. |
- Delsing, Jerker, et al.
(författare)
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Migration of industrial process control systems into service oriented architecture
- 2012
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Ingår i: 38th Annual Conference of the IEEE Industrial Electronics Society (IECON2012), 25-28 October 2012, Montreal, Canada. - Piscataway, NJ : IEEE Communications Society. - 9781467324205 ; , s. 5790-5796
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Konferensbidrag (refereegranskat)abstract
- The procedure of migrating SCADA and DCS func- tionality of the isa95 process automation architecture to a Service based automation architecture is discussed. Challenges in such migration are discussed and defined. From here the necessary migration technology and procedures are proposed. The critical migration technology is based on the mediator concept. The migration procedure is based on a functionality perspective and comprises four steps: initiation, configuration, data processing and control execution. Its argued that these steps are necessary for the successful migration of DCS and SCADA functionality in to the automation cloud.
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| 11. |
- Delsing, Jerker, et al.
(författare)
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Migration of SCADA/DCS Systems to the SOA Cloud
- 2014
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Ingår i: Industrial Cloud-Based Cyber-Physical Systems. - Cham : Encyclopedia of Global Archaeology/Springer Verlag. - 9783319056234 - 9783319056241 ; , s. 111-135
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Bokkapitel (refereegranskat)abstract
- As process control and monitoring systems based on a Service-Oriented Architecture (SOA) are maturing, the need increases for a systematic approach to migrate systems. The legacy systems are traditionally based on a strict hierarchy and in order to gradually allow additional cross-layer interaction, the migration procedure needs to consider both—functionality and architecture of the legacy system. The migration procedure proposed here aims to preserve the functional integration, organize the SOA cloud through grouping of devices, and maintain the performance aspects such as real-time control throughout the whole migration procedure.
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| 12. |
- Nappey, Philippe, et al.
(författare)
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Migration of a legacy plant lubrication system to SOA
- 2013
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Ingår i: 39th Annual Conference of the IEEE Industrial Electronics Society, IECON 2013. - : IEEE Communications Society. ; , s. 7440-7445
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Konferensbidrag (refereegranskat)abstract
- Supervision and control systems are being deployed in industrial environments such as mining plants and manufacturing facilities to ensure a continuous and effective production at a minimum cost. Such systems monitor a whole range of devices and collect their data for several purposes like maintenance and control operations.
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| 13. |
- Nappey, Philippe, et al.
(författare)
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Migration of a Legacy Plant Lubrication System to SOA
- 2014
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Ingår i: Industrial Cloud-Based Cyber-Physical Systems. - Cham : Encyclopedia of Global Archaeology/Springer Verlag. - 9783319056234 - 9783319056241 ; , s. 167-182
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Bokkapitel (refereegranskat)abstract
- IMC-AESOP investigations have been articulated around key use cases in order to better capture user needs and corresponding requirements. This particular use case explores how Service-Oriented Architecture (SOA) can ease the installation and maintenance of one of the lubrication system of the world’s largest underground iron mine run by LKAB in north Sweden, with a focus on migration aspects. We demonstrate that the loose coupling provided by the SOA approach combined with the eventing capabilities of Event Driven Architecture (EDA) can benefit to both engineering, installation and maintenance of an industrial process control system, with the exception of hard real-time based control loops.
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