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- Verikas, Antanas, 1951-, et al.
(author)
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Detecting and measuring rings in banknote images
- 2005
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In: Engineering applications of artificial intelligence. - Amsterdam : Elsevier. - 0952-1976 .- 1873-6769. ; 18:3, s. 363-371
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Journal article (peer-reviewed)abstract
- Various intelligent systems show a rapidly growing potential use of visual information processing technologies. This paper presents an example of employing visual information processing technologies for detecting and measuring rings in banknote images. The size of the rings is one of parameters used to inspect the banknote printing quality. The approach developed consists of two phases. In the first phase, based on histogram processing and data clustering, image areas containing rings are localized and edges of the rings are detected. Then, in the second phase, applying the hard and possibilistic spherical shell clustering to the extracted edge pixels the ring centre and radii are estimated. The experimental investigations performed have shown that even highly occluded rings are robustly detected. Several prototypes of the system developed have been installed in two banknote printing shops in Europe. © 2004 Elsevier Ltd. All rights reserved.
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- Emanuelsson, Olof, et al.
(author)
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Engagera och aktivera studenter med inspiration från konferenser : examination genom poster-presentation
- 2014
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In: Proceedings 2014, 8:e Pedagogiska inspirationskonferensen 17 december 2014. - Lund : Lund University.
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Conference paper (peer-reviewed)abstract
- I en forskningsnära kurs om 7.5 hp på master-nivå inom bioinformatikämnet vid KTH består drygt halva kursen av ett projekt som genomförs i grupper om tre studenter. Varje projekt har en egen projektuppgift med inget eller marginellt överlapp med andra gruppers uppgifter. Projekten är så gott som uteslutande baserade på aktuella frågeställningar i lärarteamets egna forskningsgrupper eller deras närhet. Projektet redovisas dels genom en posterpresentation, dels med individuell webbaserad projektdagbok. Vid posterredovisningen, som omfattar tre timmar i slutet av tentamensperioden, är alla kursdeltagare med. Vi försöker i möjligaste mån efterlikna situationen där ett autentiskt forskningsresultat presenteras på en riktig konferens. Varje deltagare (student) förväntas alltså ta del av varje annan grupps poster, på samma sätt som sker vid de flesta vetenskapliga konferenser. Vi genomför en enklare kamratbedömning på posternivå, där varje student ska avge en kort och konfidentiell kommentar om var och en av övriga postrar. Kursens lärare bedömer förstås också postrarna. En av svårigheterna är att sätta individuella betyg. Här använder vi oss av individuella projektdagböcker, som ger vägledning till de olika individernas insatser inom projektet. Vi har provat detta under fyra kursomgångar med som mest sju projekt. Examinationsformen är rolig och motiverande både för studenterna och lärarna.
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- Schmidt, Bernard, 1981-, et al.
(author)
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Predictive Maintenance of Machine Tool Linear Axes : A Case from Manufacturing Industry
- 2018
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In: Procedia Manufacturing. - : Elsevier. - 2351-9789. ; 17, s. 118-125
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Journal article (peer-reviewed)abstract
- In sustainable manufacturing, the proper maintenance is crucial to minimise the negative environmental impact. In the context of Cloud Manufacturing, Internet of Things and Big Data, amount of available information is not an issue, the problem is to obtain the relevant information and process them in a useful way. In this paper a maintenance decision support system is presented that utilises information from multiple sources and of a different kind. The key elements of the proposed approach are processing and machine learning method evaluation and selection, as well as estimation of long-term key performance indicators (KPIs) such as a ratio of unplanned breakdowns or a cost of maintenance approach. Presented framework is applied to machine tool linear axes. Statistical models of failures and Condition Based Maintenance (CBM) are built based on data from a population of 29 similar machines from the period of over 4 years and with use of proposed processing approach. Those models are used in simulation to estimate the long-term effect on selected KPIs for different strategies. Simple CBM approach allows, in the considered case, a cost reduction of 40% with the number of breakdowns reduced 6 times in respect to an optimal time-based approach.
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- Zamani, Mohammadreza, 1985-, et al.
(author)
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Assessment of modification level in En AC-46000 aluminum casting alloy using thermal analysis and microscopic evaluation
- 2015
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In: Light Metals 2015. - : The Minerals, Metals, and Materials Society. ; , s. 955-960
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Conference paper (peer-reviewed)abstract
- The quantitative methods for controlling and predicting the level of Si modification in EN AC-46000 aluminum cast alloys were examined using thermocouples (thermal analysis) and optical microscopy (image analysis). A wide range of Sr, from 37 to 486 ppm, was added to the alloy. The alloys were cast using three different molds providing different cooling rate and consequently varied microstructure coarseness. Large difference in nucleation and growth temperature of unmodified and modified alloy was found irrespective of coarseness of microstructure. The depression in growth temperature of eutectic Si found to be strongly correlated to content of modification agent as well as modification level. Thermal analysis technique was realized as a non-biased, accurate and inexpensive approach for on-line prediction of Si modification level in the EN AC-46000 alloy cast under different cooling rate.
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- Dihge, Looket, et al.
(author)
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Epidermal growth factor receptor (EGFR) and the estrogen receptor modulator amplified in breast cancer (AIB1) for predicting clinical outcome after adjuvant tamoxifen in breast cancer.
- 2008
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In: Breast Cancer Research and Treatment. - : Springer Science and Business Media LLC. - 1573-7217 .- 0167-6806. ; 109:2, s. 255-262
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Journal article (peer-reviewed)abstract
- The epidermal growth factor receptor (EGFR) and the estrogen receptor (ER) modulator Amplified In Breast cancer-1 (AIB1) have been reported to be of importance for the prognosis of breast cancer patients. We have analyzed AIB1 and EGFR by immunohistochemistry in primary breast cancers (n = 297) arranged in a tissue microarray in order to predict outcome after adjuvant endocrine therapy with tamoxifen for two years. High expression of AIB1 was associated with DNA-nondiploidy, high S-phase fraction, HER2 amplification, and short term (≤2 years) distant disease-free survival (DDFS), independent of ER status. High expression of EGFR was strongly associated to ER negativity and also correlated with progesterone receptor negativity, high S-phase fraction, and inversely correlated with nodal metastases. In univariate analysis, high EGFR was associated with shorter DDFS (hazard ratio 2.1; P = 0.017), and reached borderline significance in a multivariate analysis, adjusting for ER, menopausal and lymph node status, tumor size, and HER2 (P = 0.057). In conclusion, both AIB1 and EGFR were associated to DDFS for breast cancer patients treated with two years of adjuvant tamoxifen; AIB1 with the development of early distant recurrences, indicating association between high AIB1 and resistance to tamoxifen during treatment, and EGFR with distant recurrences up to a follow up of five years.
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| 9. |
- Dihge, L., et al.
(author)
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Nomograms for preoperative prediction of axillary nodal status in breast cancer
- 2017
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In: British Journal of Surgery. - : Oxford University Press (OUP). - 0007-1323 .- 1365-2168. ; 104:11, s. 1494-1505
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Journal article (peer-reviewed)abstract
- Background: Axillary staging in patients with breast cancer and clinically node-negative disease is performed by sentinel node biopsy (SLNB). The aim of this study was to integrate feasible preoperative variables into nomograms to guide clinicians in stratifying treatment options into no axillary staging for patients with non-metastatic disease (N0), SLNB for those with one or two metastases, and axillary lymph node dissection (ALND) for patients with three or more metastases. Methods: Patients presenting to Skåne University Hospital, Lund, with breast cancer were included in a prospectively maintained registry between January 2009 and December 2012. Those with a preoperative diagnosis of nodal metastases were excluded. Patients with data on hormone receptor status, human epidermal growth factor receptor 2 and Ki-67 expression were included to allow grouping into surrogate molecular subtypes. Based on logistic regression analyses, nomograms summarizing the strength of the associations between the predictors and each nodal status endpoint were developed. Predictive performance was assessed using the area under the receiver operating characteristic (ROC) curve. Bootstrap resampling was performed for internal validation. Results: Of the 692 patients eligible for analysis, 248 were diagnosed with node-positive disease. Molecular subtype, age, mode of detection, tumour size, multifocality and vascular invasion were identified as predictors of any nodal disease. Nomograms that included these predictors demonstrated good predictive abilities, and comparable performances in the internal validation; the area under the ROC curve was 0·74 for N0 versus any lymph node metastasis, 0·70 for one or two involved nodes versus N0, and 0·81 for at least three nodes versus two or fewer metastatic nodes. Conclusion: The nomograms presented facilitate preoperative decision-making regarding the extent of axillary surgery.
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