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3rd international conference on Bioinformatics and Intelligent Computing, BIC 2023

作者： Hu, Yanxiao Zhao, Zhe Zhao, Guohua Liu, Qi Lin, Yusong School of Computer and Artificial Intelligence Zhengzhou University Zhengzhou China School of Cyber Science and Engineering Zhengzhou University Zhengzhou China Department of Magnetic Resonance Imaging The First Affiliated Hospital of Zhengzhou University Zhengzhou China

ISBN: (纸本)9798400700200

Remote accessing and displaying medical images via web is important for modern radiology. However, the ever-increasing volume of medical image data pose a great challenge for real-time, quick access to high-quality images in healthcare institutions with limited bandwidth. In this study, a novel strategy that combines sliding window-based prefetching and hierarchical caching (SWPHC) on the client side is proposed. The time interval between two image requests is used to prefetch images from server to memory cache. When the memory cache is full, a cache replacement algorithm is used to decide the images to be replaced and then send them to a larger disk cache. The strategy is tested on public datasets with different resolutions and number of slices, and experimental results show that it can achieve a high cache hit ratio, which is 83% in LAN environment and 78% in WAN environment. With the SWPHC strategy, the average response time is significantly reduced. Therefore, SWPHC strategy will facilitate quick access to medical images in the field of teleradiology and medical image data sharing. © 2023 ACM.

关键词： Cache memory

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Screen Techniques: Oscilloscopes and the Embodied Instrumentality of Early Graphic Displays 19th

Screen Techniques: Oscilloscopes and the Embodied Instrument...

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19th international conference on computer-Aided Architectural Design (CAAD) - Design Imperatives - The Future is Now

作者： Pertigkiozoglou, Eliza McGill Univ Peter Guo Hua Fu Sch Architecture Montreal PQ H3A 0C2 Canada

ISBN: (纸本)9789811912801;9789811912795

As computer interfaces, electronic screens monopolize architects' interaction with computational media. However, despite their instrumental role in architectural practice, hardly anyone would think of screens as instruments, although they originated from a scientific instrument: the oscilloscope. The oscilloscope was the first device for the graphic display of electrical signals. It soon surpassed its initial scientific visualization purposes to evolve into early computer graphics screens up until the 1970s. This paper looks at the oscilloscope's transition from an electrical instrument to an electronic display to explore how the instrumentality of displays was altered, and why it became less obvious. Two historical uses of oscilloscopes are examined. The first is the work of American artist Ben F. Laposky, who employed early oscilloscopes to perform "light drawings" in the 1950s. The second is a 1964 proposal by computer scientists Ivan and Bert Sutherland at the Massachusetts Institute of Technology for an oscilloscope display that would "perform drawings." The two cases are analyzed using the interpretive concept of body techniques, borrowed from sociology. Body techniques allow for an empirical analysis of screen's instrumentality that does not distinguish between representations and operations, but rather includes representations to an irreducible series of embodied actions. This paper argues that examining the embodiment of graphic techniques can lead to an innovative understanding of design-computing techniques as co-shaped by both the affordances of novel technologies and the visual culture of existing design practices.

关键词： Oscilloscope computer graphics computer art Design techniques Computational design history and theory

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TourVis: Narrative visualization of Multi-Stage Bicycle Races

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computer graphics FORUM 2021年第3期40卷 531-542页

作者： Diaz, J. Fort, M. Vazquez, P. Univ Cent Catalunya Univ Vic Digital Care Res Grp Vic Spain Univ Girona Graph & Imaging Lab Girona Spain Univ Politecn Cataluna ViRVIG Grp Barcelona Spain

There are many multiple-stage racing competitions in various sports such as swimming, running, or cycling. The wide availability of affordable tracking devices facilitates monitoring the position along with the race of all participants, even for non-professional contests. Getting real-time information of contenders is useful but also unleashes the possibility of creating more complex visualization systems that ease the understanding of the behavior of all participants during a simple stage or throughout the whole competition. In this paper we focus on bicycle races, which are highly popular, especially in Europe, being the Tour de France its greatest exponent. Current visualizations from TV broadcasting or real-time tracking websites are useful to understand the current stage status, up to a certain extent. Unfortunately, still no current system exists that visualizes a whole multi-stage contest in such a way that users can interactively explore the relevant events of a single stage (e.g. breakaways, groups, virtual leadership horizontal ellipsis ), as well as the full competition. In this paper, we present an interactive system that is useful both for aficionados and professionals to visually analyze the development of multi-stage cycling competitions.

关键词： CCS Concepts • Human-centered computing → visualization systems and tools Visual analytics

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Interactive Web-based 3D Viewer for Multidimensional Microscope imaging Modalities

Interactive Web-based 3D Viewer for Multidimensional Microsc...

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international conference on Information Visualisation (IV)

作者： Yubraj Gupta Rodrigo E. D. Guerrero Carlos Costa Rui Jesus Eduardo Pinho Luís A. Bastião Silva Department of Computer Engineering University of Aveiro Aveiro Portugal BMD Software Aveiro Portugal

ISBN: (纸本)9781665490085

Recent advancements in the acquisition of digital imaging modalities with high-throughput technologies, such as confocal laser scanner microscopy (CLSM) and focused-ion beam scanning electron microscopy (FIB-SEM), are providing researchers with unprecedented opportunities to collect massive amounts of multidimensional datasets. This data can be used to visualize the internal structure of tiny particles (mostly cells and organisms) or to develop analytic algorithms. Visualizing newly obtained multidimensional microscope imaging data is beyond the capabilities of traditional 3D visualization packages, as it carries much information in the form of additional dimensions. Typically, these extra dimensions correspond to space, time, and channels, which has driven the development of new visualization applications. In this article, we describe the design and implementation of an interactive web-based multidimensional 3D visualization tool for CLSM and FIB-SEM microscope imaging modalities. The proposed 3D visualization application accepts DICOM files as input and provides a variety of visualization choices ranging from 3D volume/surface rendering to multiplanar reconstruction approaches. The solution performance was tested by uploading and rendering microscopy images of distinct modalities.

关键词： Scanning electron microscopy Three-dimensional displays Shape Microscopy Data visualization Rendering (computer graphics) DICOM

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Fuzzy Edge Detection for the Identification of Arachnoid Cysts in Brain Images 1

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6th international conference on Mathematical Modelling, Applied Analysis and Computation, ICMMAAC 2023

作者： Pandey, Sourav Rajput, Ravindra Kumar Singh Dibyanshu Kunwar, Bharti Mathpal, Tanuja Department of Mathematics Statistics and Computer Science G.B. Pant University of Agriculture and Technology Uttarakhand Pantnagar India

ISBN: (数字)9783031563041

ISBN: (纸本)9783031563034

Arachnoid cysts, prevalent yet challenging to accurately delineate in neuroimaging, can cause symptoms including headaches, seizures, and neurological deficits. Edge detection methods have been employed to identify these cysts;however, they often suffer from limitations such as sensitivity to noise and an inability to detect weak edges. This article proposes a novel application using fuzzy edge detection methodology for identifying Arachnoid cysts in brain images, leveraging the robustness and efficiency of fuzzy logic to handle uncertainty and noise. A comparison is drawn between the fuzzy edge detection method and traditional methods i.e., Robert, Sobel, Laplacian, Prewitt, and Canny, hypothesizing superior results with the fuzzy approach. The proposed method employs a Fuzzy Control System (FCS), adaptive thresholding, and inversion of the binary edge map. Implemented in Python due to its adeptness in handling large complex datasets and extensive library support, the method demonstrates clearer and more defined edges, enhancing visualization and interpretation of the cysts. With its robustness against noise and variability in image quality and its adaptability to different imaging conditions and patient cases, this approach shows significant potential for improving the accuracy of arachnoid cyst detection in clinical practice. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Fuzzy logic

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Coronary Artery Disease Prediction Using Enhanced Multi Layer DCNN 10

Coronary Artery Disease Prediction Using Enhanced Multi Laye...

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10th IEEE Uttar Pradesh Section international conference on Electrical, Electronics and computer Engineering, UPCON 2023

作者： Malik, Varun Sharma, Smita Mittal, Ruchi Rao, A. Kakoli Martin, R. John Khan, Akhilesh Kumar Chitkara University Institute of Engineering and Technology Chitkara University Punjab India Amity School of Engineering and Technology Amity University Department of Electronics and Communication Engineering Greater Noida India Lloyd Institute of Engineering & Technology Greater Noida India Jazan University Faculty of Computer Science and Information Technology Saudi Arabia Lloyd Law College Greater Noida India

ISBN: (纸本)9798350382471

Coronary Artery Disease(CAD) is a prevalent and life-threatening cardiovascular condition affecting millions of individuals globally. Early detection and accurate prediction of CAD are vital for timely intervention and prevention of severe cardiac events. Convolutional Neural Networks (CNNs) and other deep learning approaches have recently demonstrated amazing effectiveness in a number of medical applications, including illness prediction. This research proposes an innovative approach, Enhanced Multi-Layer Deep Convolutional Neural Network (EML-DCNN), for the prediction of Coronary Artery Disease. The proposed EML-DCNN architecture integrates advanced deep learning concepts, feature engineering, and data augmentation techniques to enhance the model's predictive performance. The multi-layer structure of EML-DCNN enables the automatic extraction of intricate patterns and features from medical imaging data, specifically focusing on coronary artery images. Additionally, the model incorporates attention mechanisms and residual connections, enhancing its ability to capture subtle details and relationships within the data. To validate the efficacy of the proposed EML-DCNN model, extensive experiments were conducted on a large and diverse dataset comprising coronary artery images obtained from various medical sources. The results demonstrate superior predictive accuracy, sensitivity, and specificity compared to existing CAD prediction models. Moreover, the model's interpretability is enhanced through visualization techniques, providing valuable insights into the features influencing the prediction process. © 2023 IEEE.

关键词： Coronary Artery Disease deep learning disease prediction Enhanced Multi-Layer Deep Convolutional Neural Network

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Dynamic visualization System for Gaze and Dialogue Data 15

Dynamic Visualization System for Gaze and Dialogue Data

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15th international Joint conference on computer Vision, imaging and computer graphics Theory and Applications (VISIGRAPP) / 4th international conference on Human computer Interaction Theory and Applications

作者： Kvist, Jonathan Ekholm, Philip Vaidyanathan, Preethi Bailey, Reynold Alm, Cecilia Ovesdotter Malmo Univ Dept Comp Sci & Media Technol Nordenskioldsgatan 1 Malmo Sweden Eyegaze Inc 10363 Democracy Lane Fairfax VA 22030 USA Rochester Inst Technol 1 Lomb Mem Dr Rochester NY 14623 USA

ISBN: (纸本)9789897584022

We report and review a visualization system capable of displaying gaze and speech data elicited from pairs of subjects interacting in a discussion. We elicit such conversation data in our first experiment, where two participants are given the task of reaching a consensus about questions involving images. We validate the system in a second experiment where the purpose is to see if a person could determine which question had elicited a certain visualization. The visualization system allows users to explore reasoning behavior and participation during multimodal dialogue interactions.

关键词： Eye-tracking Dialogue Multimodal visualization

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Research on graphics Assisted Stereotactic Orientation System Based on Virtual Reality

Research on Graphics Assisted Stereotactic Orientation Syste...

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Sensors, Electronics and computer Engineering (ICSECE), IEEE international conference on

作者： Zhang Hui Shi Yi Wanjiang University of Technology Ma'anshan China Keimyung University Daegu South Korea

This paper designs a spatial graphics stereotactic system based on virtual reality technology. The system is based on real-time visualization, robotics and virtual reality technologies to assist operators in spatial mapping and positioning. An efficient interactive system is constructed by tracking plane AIDS and hands effectively with a single depth camera. A tactile redirection method is proposed to solve the interaction errors caused by the difference in the dimensions of virtual space and real space interaction planes. This allows the interaction to continuously switch between adjacent targets. The simulation results show that this system can not only be widely used in 3D positioning and orientation of virtual reality system helmet and data glove, but also in the field of spatial mapping control and positioning and orientation and multimedia system.

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Illuminant Intensity Compensation with Depth Estimation for Underwater Image Restoration

Illuminant Intensity Compensation with Depth Estimation for ...

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computer graphics and Image Processing (CGIP), international conference on

作者： Pin-Yi Kuan Herng-Hua Chang Department of Engineering Science and Ocean Engineering National Taiwan University Taipei Taiwan

ISBN: (数字)9798350374186

ISBN: (纸本)9798350374193

Visual quality restoration in underwater images has been paid more attention in recent years as it is a fundamental task in many relevant image processing applications. This paper investigates a new underwater image restoration algorithm based on a simplified image formation model by the integration of the Jaffe-McGlamery and Lambertian systems. The Retinex theory is introduced into the prototype to explicitly disclose the illuminant intensity, which is computed using an efficient gray index scheme for light source attenuation compensation. Subsequently, an improved scene depth estimation method is exploited to extract the background scene, on which an efficient compensation method is proposed for better background light estimation. Finally, an ensemble color gain is appraised to correct color deviation. A wide variety of underwater images with various scenarios in three different datasets were employed to evaluate the proposed image quality restoration system. Experimental results demonstrated the advantages of our underwater image restoration algorithm over many state-of-the-art methods both qualitatively and quantitatively. It is believed that the developed image restoration framework is of potential in many underwater image processing applications.

关键词： Performance evaluation visualization Image color analysis Computational modeling Estimation Prototypes Image restoration

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BlueSkype: A Shared Virtual 3D World for Off-Site Meetings in Nature 24th

BlueSkype: A Shared Virtual 3D World for Off-Site Meetings i...

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24th international conference on Human-computer Interaction, HCI international, HCII 2022

作者： Nakashima, Ryota Kanmuri, Yuta Hong, Hua Tomiyama, Tatsuro Sasaki, Atsuko Tomisugi, Masahiro Tobita, Hiroaki Advanced Institute of Industrial Technology Tokyo Shinagawa-ku Japan

ISBN: (纸本)9783031063930

On-site meetings in office environments often involve conventional online meeting platforms such as Zoom and Google Meet that are widely used in real meeting rooms and provide functionality and visualization simple enough to support typical business meetings. However, because such meeting platforms usually have the same functions, meeting attendees are compelled to use nearly the same functions and manners even if their purposes differ. By contrast, conventional online meeting systems take off-site meetings less into account. Therefore, to solve those conventional limitations and realize online off-site meetings in nature, we have designed BlueSkype, a natural environment in a shared virtual 3D world. Therein, meeting attendees are represented by 3D avatars that can move around the 3D world freely, communicate with each other, and interact. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Three dimensional computer graphics

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