| 1. |
- Bauer, Michael, et al.
(författare)
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Association between solar insolation and a history of suicide attempts in bipolar I disorder.
- 2019
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Ingår i: Journal of psychiatric research. - : Elsevier BV. - 1879-1379 .- 0022-3956. ; 113, s. 1-9
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Tidskriftsartikel (refereegranskat)abstract
- In many international studies, rates of completed suicide and suicide attempts have a seasonal pattern that peaks in spring or summer. This exploratory study investigated the association between solar insolation and a history of suicide attempt in patients with bipolar I disorder. Solar insolation is the amount of electromagnetic energy from the Sun striking a surface area on Earth. Data were collected previously from 5536 patients with bipolar I disorder at 50 collection sites in 32 countries at a wide range of latitudes in both hemispheres. Suicide related data were available for 3365 patients from 310 onset locations in 51 countries. 1047 (31.1%) had a history of suicide attempt. There was a significant inverse association between a history of suicide attempt and the ratio of mean winter solar insolation/mean summer solar insolation. This ratio is smallest near the poles where the winter insolation is very small compared to the summer insolation. This ratio is largest near the equator where there is relatively little variation in the insolation over the year. Other variables in the model that were positively associated with suicide attempt were being female, a history of alcohol or substance abuse, and being in a younger birth cohort. Living in a country with a state-sponsored religion decreased the association. (All estimated coefficients p<0.01). In summary, living in locations with large changes in solar insolation between winter and summer may be associated with increased suicide attempts in patients with bipolar disorder. Further investigation of the impacts of solar insolation on the course of bipolar disorder is needed.
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| 2. |
- Zhang, Yuchong, 1994, et al.
(författare)
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A novel augmented reality system to support volumetric visualization in industrial process tomography
- 2021
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Ingår i: 15th International Conference on Interfaces and Human Computer Interaction, IHCI 2021 and 14th International Conference on Game and Entertainment Technologies, GET 2021 - Held at the 15th Multi-Conference on Computer Science and Information Systems, MCCSIS 2021. ; , s. 3-9
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Konferensbidrag (refereegranskat)abstract
- Augmented Reality (AR), as a variation of Virtual Reality (VR), has been proved useful for decades. However, it is not widely utilized in most industries. To fill the gap between this technique and industrial usage, we propose a novel AR system in the context of industrial process tomography (IPT). As the pioneering AR deployment in IPT, this system offers a new solution to underpin the onsite data analysis regarding volumetric visualization. In our work, an endeavor to provide intelligent control for an industrial drying system is pursued by using microwave tomography (MWT), a breed of IPT, as an imaging modality. Here, the AR system is integrated with the MWT for post processing of its volumetric images, containing critical information of the industrial process. The core part of the AR system is implemented by an interactive mobile app that is supported on iOS/Android platforms. The overall system is generalized by four distinctive findings: interactivity, mobility, information richness, and mutual collaboration. Our proposed system opens the horizon of leveraging AR in IPT to benefit domain-related users regarding onsite data analysis and visualization.
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| 3. |
- Zhang, Yuchong, 1994, et al.
(författare)
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Automated microwave tomography (Mwt) image segmentation: State-of-the-art implementation and evaluation
- 2020
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Ingår i: Journal of WSCG. - 1213-6972 .- 1213-6964. ; 2020:2020, s. 126-136
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Tidskriftsartikel (refereegranskat)abstract
- Inspired by the high performance in image-based medical analysis, this paper explores the use of advanced segmentation techniques for industrial Microwave Tomography (MWT). Our context is the visual analysis of moisture levels in porous foams undergoing microwave drying. We propose an automatic segmentation technique—MWT Segmentation based on K-means (MWTS-KM) and demonstrate its efficiency and accuracy for industrial use. MWTS-KM consists of three stages: image augmentation, grayscale conversion, and K-means implementation. To estimate the performance of this technique, we empirically benchmark its efficiency and accuracy against two well-established alternatives: Otsu and K-means. To elicit performance data, three metrics (Jaccard index, Dice coefficient and false positive) are used. Our results indicate that MWTS-KM outperforms the well-established Otsu and K-means, both in visually observable and objectively quantitative evaluation.
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| 4. |
- Zhang, Yuchong, 1994, et al.
(författare)
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Automatic image segmentation for microwave tomography (MWT): From implementation to comparative evaluation
- 2019
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Ingår i: ACM International Conference Proceeding Series. - New York, NY, USA : ACM. ; 2019
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Konferensbidrag (refereegranskat)abstract
- Inspired by its high performance in image-based medical analysis, this poster paper explores the use of advanced segmentation techniques for industrial Microwave Tomography (MWT). Our context is the visual analysis of moisture levels in porous foams undergoing microwave drying. We propose an automatic segmentation technique—MWT Segmentation based on K-means (MWTS-KM) and demonstrate its efficiency and accuracy for industrial use. MWTS-KM consists of three stages: image augmentation, grey-scale conversion, and K-means implementation. To estimate the performance of this technique, we empirically benchmark its efficiency and accuracy against two well-established alternatives: Otsu and K-means. To elicit performance data, three metrics (Jaccard index, Dice coefficient and false positive) are used. Based on our experiments, our results indicate that MWTS-KM outperforms the well-established Otsu and K-means.
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| 5. |
- Zhang, Yuchong, 1994, et al.
(författare)
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Playing with Data: An Augmented Reality Approach to Interact with Visualizations of Industrial Process Tomography
- 2023
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Ingår i: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). - 1611-3349 .- 0302-9743. ; 14143 LNCS, s. 123-144
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Konferensbidrag (refereegranskat)abstract
- Industrial process tomography (IPT) is a specialized imaging technique widely used in industrial scenarios for process supervision and control. Today, augmented/mixed reality (AR/MR) is increasingly being adopted in many industrial occasions, even though there is still an obvious gap when it comes to IPT. To bridge this gap, we propose the first systematic AR approach using optical see-through (OST) head mounted displays (HMDs) with comparative evaluation for domain users towards IPT visualization analysis. The proof-of-concept was demonstrated by a within-subject user study (n=20) with counterbalancing design. Both qualitative and quantitative measurements were investigated. The results showed that our AR approach outperformed conventional settings for IPT data visualization analysis in bringing higher understandability, reduced task completion time, lower error rates for domain tasks, increased usability with enhanced user experience, and a better recommendation level. We summarize the findings and suggest future research directions for benefiting IPT users with AR/MR.
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| 6. |
- Zhang, Yuchong, 1994, et al.
(författare)
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Supporting visualization analysis in industrial process tomography by using augmented reality - A case study of an industrial microwave drying system
- 2021
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Ingår i: Sensors. - : MDPI AG. - 1424-8220. ; 21:19
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Tidskriftsartikel (refereegranskat)abstract
- Industrial process tomography (IPT) based process control is an advisable approach in industrial heating processes for improving system efficiency and quality. When using it, appropriate dataflow pipelines and visualizations are key for domain users to implement precise data acquisition and analysis. In this article, we propose a complete data processing and visualizing workflow regarding a specific case—microwave tomography (MWT) controlled industrial microwave drying system. Furthermore, we present the up-to-date augmented reality (AR) technique to support the corresponding data visualization and on-site analysis. As a pioneering study of using AR to benefit IPT systems, the proposed AR module provides straightforward and comprehensible visualizations pertaining to the process data to the related users. Inside the dataflow of the case, a time reversal imaging algorithm, a post-imaging segmentation, and a volumetric visualization module are included. For the time reversal algorithm, we exhaustively introduce each step for MWT image reconstruction and then present the simulated results. For the post-imaging segmentation, an automatic tomographic segmentation algorithm is utilized to reveal the significant information contained in the reconstructed images. For volumetric visualization, the 3D generated information is displayed. Finally, the proposed AR system is integrated with the on-going process data, including reconstructed, segmented, and volumetric images, which are used for facilitating interactive on-site data analysis for domain users. The central part of the AR system is implemented by a mobile app that is currently supported on iOS/Android platforms.
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