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检索条件"任意字段=Proceedings of the ACM on Measurement and Analysis of Computing Systems"

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How HCI Bridges Health and Design in Online Health Communities: A Systematic Review 21

How HCI Bridges Health and Design in Online Health Communiti...

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acm Designing Interactive systems Conference (DIS)

作者： Gatos, Doga Gunay, Asli Kirlangic, Guncel Kuscu, Kemal Yantac, Asim Evren Koc Univ KUAR Istanbul Turkey Koc Univ Media & Visual Arts Istanbul Turkey Koc Univ Istanbul Turkey

ISBN: (纸本)9781450384766

This paper presents a systematic review of online health communities (OHCs) published between 2009 and 2020 in the acm Digital Library. Aiming to consolidate the current issues, design knowledge, challenges, and tensions in OHCs, our analysis identified four high-level aspects related to the use and design of OHCs: (1) temporal: OHCs as transition spaces, (2) spatial: bridging experiential knowledge with medical expertise, (3) technological: exchanging and locating peer support, and (4) tension dimensions in OHCs. We further discuss methodological improvements and computing opportunities for OHC research and how to increase OHC members' agency in such a medically dominated context. These findings have the potential to inform future OHC designs and help researchers and designers position future contributions.

关键词： online health communities systematic review social computing information management peer support support seeking transitions ubiquitous health digital health health communication

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measurement and analysis of GPU-Accelerated OpenCL Computations on Intel GPUs 3

Measurement and Analysis of GPU-Accelerated OpenCL Computati...

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IEEE/acm International Workshop on Programming and Performance Visualization Tools (ProTools)

作者： Cherian, Aaron Thomas Zhou, Keren Grubisic, Dejan Meng, Xiaozhu Mellor-Crummey, John Rice Univ Dept Comp Sci Houston TX 77251 USA

ISBN: (纸本)9781665411103

Graphics Processing Units (GPUs) have become a key technology for accelerating node performance in supercomputers, including the US Department of Energy's forthcoming exascale systems. Since the execution model for GPUs differs from that for conventional processors, applications need to be rewritten to exploit GPU parallelism. Performance tools are needed for such GPU-accelerated systems to help developers assess how well applications offload computation onto GPUs. In this paper, we describe extensions to Rice University's HPCToolkit performance tools that support measurement and analysis of Intel's DPC++ programming model for GPU-accelerated systems atop an implementation of the industry-standard OpenCL framework for heterogeneous parallelism on Intel GPUs. HPCToolkit supports three techniques for performance analysis of programs atop OpenCL on Intel GPUs. First, HPCToolkit supports profiling and tracing of OpenCL kernels. Second, HPCToolkit supports CPU-GPU blame shifting for OpenCL kernel executions-a profiling technique that can identify code that executes on one or more CPUs while GPUs are idle. Third, HPCToolkit supports fine-grained measurement, analysis, and attribution of performance metrics to OpenCL GPU kernels, including instruction counts, execution latency, and SIMD waste. The paper describes these capabilities and then illustrates their application in case studies with two applications that offload computations onto Intel GPUs.

关键词： Supercomputers High performance computing Performance analysis Parallel programming

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Machine Learning based Lung Cancer Detection & analysis

Machine Learning based Lung Cancer Detection & Analysis

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2023 International Conference on Sustainable computing and Smart systems, ICSCSS 2023

作者： Indumathi, A. Sathanapriya, M. Vinodh, N. Ashok, Merugu Aishwarya, N. Kongunadu Arts and Science College Department of Computer Technology Coimbatore India Karpagam Academy of Higher Education Department of Commerce Coimbatore India S.A.Engineering College Department of Management Studies Thiruverkadu India Cvr College of Engineering Department of Ece Telanganaa India Vinayaka Mission's Research Foundation Deemed to Abe University Vinayaka Mission's Kirupananda Variyar Engineering College Salem India

ISBN: (纸本)9798350333602

The key to treat cancer is early detection. This study has reviewed the fractal image analysis technique for cancer cell detection. Typical abnormalities in cancer cells include uncontrolled cell proliferation. measurement of morphological complexity and study of figures with atypical shapes are both possible with fractal analysis. Investigations were conducted using simulations of human breast cancer cells. We investigated and compared changes in the fractal dimension between cancer cells and normal cells. The preliminary results demonstrate that the picture based fractal analysis technique is able to locate breast cancer cells. It has a great deal of potential to shed light on the morphological classification of tumor growth and could be used as a marker for early cancer identification and the effectiveness of cancer treatments. The segmentation and data enhancement categorization scheme has been completed. e and The accuracy of lung cancer detection is greater. Cancer can spread to other organs and impair their normal activities, making it a fatal condition. The cancer grows more deadly as it advances in stage. The doctor will do a number of tests to ascertain the degree and seriousness of the disease, and based on the results, the stage of cancer will be determined. Before giving a chance to develop and spread, certain cancers can be detected early. Early cancer discovery results in significantly better treatment outcomes and less physical, emotional, and financial suffering. © 2023 IEEE.

关键词： Cancer cells

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2023 IEEE 19th International Workshop on Factory Communication systems, WFCS 2023

2023 IEEE 19th International Workshop on Factory Communicati...

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19th IEEE International Workshop on Factory Communication systems, WFCS 2023

ISBN: (纸本)9781665464321

The proceedings contain 35 papers. The topics discussed include: can embedded real-time Linux system effectively support multipath transmission? an experimental study;attacker localization with machine learning in RS-485 industrial control networks;electricity theft detection for smart homes with knowledge-based synthetic attack data;static analysis of packet forwarding and filtering configurations in industrial networks;safety and security requirements in AAS integration: use case demonstration;zero-delay roaming for mobile robots enabled by wireless TSN redundancy;predicting wireless channel quality by means of moving averages and regression models;buffer management for TSN-enabled end stations;TSN scheduler benchmarking;deterministic local cloud for industrial applications;a safety and security requirements management methodology in reconfigurable collaborative human-robot application;managing 5g non-public networks from industrial automation systems;evaluation of control-to-control communication in industrial 5G network;Bayesian measurement noise estimation in ultra-wide band systems for clock synchronization;and assessment of time performance of lightweight virtualization for edge computing applications.

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Tetrahedral and Voxel Finite Elements with Orthogonal Discontinuous Basis Functions for Explicit Scalar Wave Propagation analysis 25

Tetrahedral and Voxel Finite Elements with Orthogonal Discon...

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proceedings of the Platform for Advanced Scientific computing Conference

作者： Kohei Fujita Tsuyoshi Ichimura Muneo Hori Maddegedara Lalith Mizuki Kusumoto The University of Tokyo Tokyo Japan RIKEN Tokyo Japan Japan Agency for Marine-Earth Science and Technology Yokohama Japan

ISBN: (纸本)9798400718861

Scalar wave propagation analysis is one of the fundamental types of analysis used in many fields and has been the subject of much research. As measurement data accumulates, the need for faster and more accurate analysis using more detailed models has arisen. This paper proposes tetrahedral and voxel finite elements based on orthogonal discontinuous functions that enable fast and accurate analysis. Through accuracy and cost analysis on recent computers with actual implementations, we show that the cost of analysis can be significantly reduced and that faster and more accurate wave analysis can be expected as shown in the application example. In addition, many problems lead to operations with a large number of relatively small matrix-vector products like the problem in this paper. This paper showed that such computation can be handled efficiently by implementations taking advantage of recent computers, and is expected to provide insight for problems with similar operations.

关键词： wave propagation

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5th International Conference on Artificial Intelligence, Big Data, computing and Data Communication systems, icABCD 2022 - proceedings

5th International Conference on Artificial Intelligence, Big...

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5th International Conference on Artificial Intelligence, Big Data, computing and Data Communication systems, icABCD 2022

ISBN: (纸本)9781665484220

The proceedings contain 46 papers. The topics discussed include: the impact of virtual learning environments on the practical skills of open distance learning students in electrical engineering;ontology reuse: neural network-based measurement of concepts representations and similarities in ontology corpus;modelling the IEC 61850 and DNP3 protocol using OPNET in an electrical substation communication network;cognitive solution for multimedia access;dynamic remote networking for modular data centers;novel data-based model for future epidemiology;sentiment analysis of South African news company;enhanced data integrity encryption algorithm for cloud computing;development of data acquisition system for real-time monitoring using a smartphone;reducing routing overhead with a clustering protocol based on ad hoc distance vector and dynamic source routing protocols;and application of artificial neural network on South African sign language recognition system.

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Heart Rate Detection Using Motion Compensation with Multiple ROIs 11

Heart Rate Detection Using Motion Compensation with Multiple...

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11th International Conference on computing and Pattern Recognition, ICCPR 2022

作者： Huang, Jie Rao, Xuanheng Zhang, Weichuan Song, Jingze Sun, Xiao The Institute of Artificial Intelligence Hefei Comprehensive National Science Center Anhui Hefei China Hefei University of Technology Anhui Hefei China The Institute for Integrated and Intelligent Systems Griffith University BrisbaneQLD Australia

ISBN: (纸本)9781450397056

Remote photoplethysmography (rPPG) has the ability to make use of image frame sequences including human faces collected by cameras for measuring heart rate (HR) without any contact. This method generates a time series signal based on the RGB spatial average of the selected region of interest (ROI) to estimate physiological signals such as HR. It is worth to note that the motion artifact produced by the subject's face shaking is equivalent to adding considerable noise to the signal which will greatly affect the accuracy of the measurement. In this paper, a novel anti-interference multi-ROI analysis (AMA) approach is proposed which effectively utilizes the local information with multiple ROIs, the Euler angle information of the subject's head, and the interpolation resampling technique of the video for suppressing the influence of face shaking on the accuracy of non-contact heart rate measurement. The proposed method is evaluated on the UBFC-RPPG and PURE datasets, and the experimental results demonstrate that the proposed methods are superior to many state-of-the-art methods. © 2022 acm.

关键词： Motion compensation

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Augmented Reality with Industrial Process Tomography: To Support Complex Data analysis in 3D Space 21

Augmented Reality with Industrial Process Tomography: To Sup...

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acm International Joint Conference on Pervasive and Ubiquitous computing (UbiComp) / acm International Symposium on Wearable Computers (ISWC)

作者： Nowak, Adam Zhang, Yuchong Romanowski, Andrzej Fjeld, Morten Lodz Univ Technol Lodz Poland Chalmers Univ Technol Gothenburg Sweden

ISBN: (纸本)9781450384612

Today, in-situ analyzing and monitoring are imperative for ensuring successful and healthy industrial processes in confined environments. With the rapid development of digitization, augmented reality (AR) has been utilized for letting people immersively interact with the necessary information. However, there are still knowledge gaps between AR technique and domain users pertaining to effective analysis of complex data. Hence, new solutions empowering domain users would benefit the whole industry. In this study, we report an initial prototype supporting complex data visualization and analysis in entire 3D surroundings within industrial process tomography (IPT). Microsoft HoloLens 2 is equipped for users to interact with the 3D information characterizing the workflow of the industrial process with high immersion. Our work distinctly improves the performance compared to existing solutions, pointing the way towards how AR should be deployed and developed more efficiently for aiding IPT systems.

关键词： mixed reality immersion 3D surroundings data visualization industrial process tomography

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I/O Bottleneck Detection and Tuning: Connecting the Dots using Interactive Log analysis 6

I/O Bottleneck Detection and Tuning: Connecting the Dots usi...

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IEEE/acm 6th International Parallel Data systems Workshop (PDSW)

作者： Bez, Jean Luca Tang, Houjun Xie, Bing Williams-Young, David Latham, Rob Ross, Rob Oral, Sarp Byna, Suren Lawrence Berkeley Natl Lab Berkeley CA 94720 USA Oak Ridge Natl Lab Oak Ridge TN USA Argonne Natl Lab Lemont IL USA

ISBN: (纸本)9781665418379

Using parallel file systems efficiently is a tricky problem due to inter-dependencies among multiple layers of I/O software, including high-level I/O libraries (HDF5, netCDF, etc.), MPI-IO, POSIX, and file systems (GPFS, Lustre, etc.). Profiling tools such as Darshan collect traces to help understand the I/O performance behavior. However, there are significant gaps in analyzing the collected traces and then applying tuning options offered by various layers of I/O software. Seeking to connect the dots between I/O bottleneck detection and tuning, we propose DXT Explorer, an interactive log analysis tool. In this paper, we present a case study using our interactive log analysis tool to identify and apply various I/O optimizations. We report an evaluation of performance improvement achieved for four I/O kernels extracted from science applications.

关键词： File systems Data visualization Software Libraries Data systems Performance analysis Kernel

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proceedings - 2022 International Conference on Big data, IoT, and Cloud computing, ICBICC 2022

Proceedings - 2022 International Conference on Big data, IoT...

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2022 International Conference on Big data, IoT, and Cloud computing, ICBICC 2022

ISBN: (纸本)9781450399548

The proceedings contain 33 papers. The topics discussed include: blockchain technology in loyalty program applications;exploration of blockchain technology in trusted atmospheric environmental data;construction of bank credit white list access system based on grey clustering algorithm;model-based simulation of the combat flow of naval gun weapon systems;a visualization data analysis of second-hand houses in Zhuhai based on Python and ECharts and bootstrap;improved routing design of Internet of Things sensor network based on optimized particle swarm optimization algorithm;research on feature fusion method of high attribute dimension data in internet of things based on dividing thoughts;and leaf area index for assessment of urban green space and tree coverage to support elder friendly cities.

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