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17th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip, MCSoC 2024

作者： Kagami, Motoki Yu, Zeping Ceng, Sim Teck Jing, Lei The University of Aizu School of Computer Science and Engineering Aizu-Wakamatsu Japan The University of Aizu Graduate School of Computer Science and Engineering Aizu-Wakamatsu Japan University of Aizu Junior College Division Department of Management and Design Aizu-Wakamatsu Japan

ISBN: (纸本)9798331530471

A significant challenge in communication arises between deaf individuals and hearing individuals. Sign language recognition is expected to be an important research field for eliminating barriers. In this field, data collection is primarily conducted using two methods: sensor-based and vision-based approaches. In this study, we adopted a sensor-based approach by using a tactile sensing glove due to its portability, costeffectiveness, and ability to capture fine finger movements. Subsequently, we applied LSTM and k-NN respectively to evaluate the recognition accuracy using this method. As a result, LSTM achieved a test accuracy of approximately 76%, while k-NN demonstrated an average accuracy of 87%. These findings highlight the potential of sensor-based SLR technology in reducing communication barriers and advancing inclusively in communication tools. © 2024 IEEE.

关键词： Audition

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Robotic pendant drop:containerless liquid for μs-resolved,AI-executable XPCS

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Light(science & Applications) 2023年第9期12卷 1857-1866页

作者： Doga Yamac Ozgulbas Don Jensen Jr. Rory Butler Rafael Vescovi Ian T.Foster Michael Irvin Yasukazu Nakaye Miaoqi Chu Eric M.Dufresne Soenke Seifert Gyorgy Babnigg Arvind Ramanathan Qingteng Zhang Data Science and Learning Division Argonne National LaboratoryLemontIL 60439USA X-ray Science Division Argonne National LaboratoryLemontIL 60439USA Departement of Computer Science University of Chicago5801 S Ellis AveChicagoIL 60637USA XRD Design and Engineering Department Rigaku Corporation 3-9-12 Matsubara-choAkishima-shiTokyo 196-8666Japan Bioscience Division Argonne National LaboratoryLemontIL 60439USA

The dynamics and structure of mixed phases in a complex fluid can significantly impact its material properties,such as ***-angle X-ray Photon Correlation Spectroscopy(SA-XPCS)can probe the spontaneous spatial fluctuations of the mixed phases under various in situ environments over wide spatiotemporal ranges(10−6–103 s/10−10–10−6 m).Tailored material design,however,requires searching through a massive number of sample compositions and experimental parameters,which is beyond the bandwidth of the current coherent X-ray *** 3.7-μs-resolved XPCS synchronized with the clock frequency at the Advanced Photon Source,we demonstrated the consistency between the Brownian dynamics of~100 nm diameter colloidal silica nanoparticles measured from an enclosed pendant drop and a sealed *** electronic pipette can also be mounted on a robotic arm to access different stock solutions and create complex fluids with highly-repeatable and precisely controlled composition *** closed-loop,AI-executable protocol is applicable to light scattering techniques regardless of the light wavelength and optical coherence,and is a first step towards high-throughput,autonomous material discovery.

关键词： resolved sealed mounted

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Development and product trials of a cost-effective cloud-based thermal camera body temperature measurement system 21

Development and product trials of a cost-effective cloud-bas...

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9th International Conference on computer and Communications Management, ICCCM 2021

作者： Fung, Kwong Chiu Mow, Wai Ho Au, Kam Hei Mok, Yim To Chim, Ho Yin Division of Integrative Systems and Design The Hong Kong University of Science and Technology Hong Kong Intelligent Design Technology Limited Hong Kong Department of Electronic and Computer Engineering The Hong Kong University of Science and Technology Hong Kong

ISBN: (纸本)9781450390071

Amid the COVID-19 pandemic, body temperature monitoring is an effective measure to reduce the risk of COVID-19 spreading in the community. Two common ways to measure body temperature in public settings include non-contact infrared thermometers and thermal imaging systems. The use of non-contact infrared thermometers involves physical proximity, additional manpower and time, whereas the existing thermal imaging systems are either inaccurate or expensive. To address the above problems, we present an accurate and low-cost automatic fever screening system to assist in preliminary health assessment. Our system involves the integration of a RGB camera, a thermal camera, an embedded system board, and a cloud analytics platform. By utilizing temperature measurement and face detection, our system can extract forehead temperature and assess if the person being evaluated is wearing a mask or not. The system has conducted trial runs in various crowded settings including schools, restaurants, community centres, and commercial buildings. In this study, we manage to lower the cost of developing an effective self-checking station for fever screening by hardware trade-off and software optimization, resulting in a market acceptance price. This makes our solution widely accessible to serve the local community during the COVID-19 period. © 2021 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Body Temperature Measurement Face Detection Coronavirus COVID-19 Thermal Imaging

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In vivo cortical microstructure mapping using high-gradient diffusion MRI accounting for intercompartmental water exchange effects

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NeuroImage 2025年 314卷 121258-121258页

作者： Dong, Tanxin Lee, Hong-Hsi Zang, Han Lee, Hansol Tian, Qiyuan Wan, Liang Fan, Qiuyun Huang, SusieY. Academy of Medical Engineering and Translational Medicine Tianjin University Tianjin China Tianjin Key Laboratory of Brain Science and Neuroengineering Tianjin China Haihe Laboratory of Brain-Computer Interaction and Human-Machine Interaction Tianjin China Department of Radiology Massachusetts General Hospital Athinoula A. Martinos Center for Biomedical Imaging Charlestown MA United States Harvard Medical School Boston MA United States School of Biomedical Engineering Tsinghua University Beijing China Harvard-MIT Division of Health Sciences and Technology Massachusetts Institute of Technology Cambridge MA United States

In recent years, mapping tissue microstructure in the cortex using high gradient diffusion MRI has received growing attention. The Soma And Neurite Density Imaging (SANDI) explicitly models the soma compartment in the cortex assuming impermeable membranes. As such, it does not account for diffusion time dependence due to water exchange in the estimated microstructural properties, as neurites in gray matter are much less myelinated than in white matter. In this work, we performed a systematic evaluation of an extended SANDI model for in vivo human cortical microstructural mapping that accounts for water exchange effects between the neurite and extracellular compartments using the anisotropic Kärger model. We refer to this model as in vivo SANDIX, adapting the nomenclature from previous publications. As in the original SANDI model, the soma compartment is modeled as an impermeable sphere due to the much smaller surface-to-volume ratio compared to the neurite compartment. A Monte Carlo simulation study was performed to examine the sensitivity of the in vivo SANDIX model to sphere radii, compartment fractions, and water exchange times. The simulation results indicate that the proposed in vivo SANDIX framework can account for the water exchange effect and provide measures of intra-soma and intra-neurite signal fractions without spurious time-dependence in estimated parameters, whereas the measured water exchange times need to be interpreted with caution. The model was then applied to in vivo diffusion MRI data acquired in 13 healthy adults on the 3-Tesla Connectome MRI scanner equipped with 300 mT/m gradients. The in vivo results exhibited patterns that were consistent with corresponding anatomical characteristics in both cortex and white matter. In particular, the estimated water exchange times in gray and white matter were distinct and differentiated between the two tissue types. Our results show the SANDIX approach applied to high-gradient diffusion MRI data achieves

关键词： Connectome Cortex Diffusion MRI Kärger model Microstructure Water exchange

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DYNAMIC CONTROL APPROACH FOR MOTION COORDINATION OF MULTIPLE WHEELED MOBILE ROBOTS TRANSPORTING A SINGLE OBJECT

DYNAMIC CONTROL APPROACH FOR MOTION COORDINATION OF MULTIPLE...

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1993 INTERNATIONAL CONF ON INTELLIGENT ROBOTS AND SYSTEMS : INTELLIGENT ROBOTS FOR FLEXIBILITY ( IROS 93 )

作者： HASHIMOTO, M OBA, F EGUCHI, T Division of Machine Design Engineering Faculty of Engineering Hiroshima University Kagamiyama Higashi-Hiroshima 724 Japan Department of Mechanical Systems Faculty of Computer Science Kyushu Institute of Technology Kawatsu Iizuka Fukuoka 820 Japan

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Enhancing ESG Reporting Analysis: Leveraging GPT and Resampling Methods for Improved Multi-Label Classification 4

Enhancing ESG Reporting Analysis: Leveraging GPT and Resampl...

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4th IEEE International Conference on Electronic Communications, Internet of Things and Big Data, ICEIB 2024

作者： Wu, Jun-Wei Lin, Lydia Hsiao-Mei Tsai, Richard Tzong-Han National Central University Department of Computer Science and Information Engineering Taoyuan Taiwan National Taipei University of Technology Department of Interaction Design Taipei Taiwan Center for Gis Research Center for Humanities and Social Sciences Academia Sinica Taipei Taiwan

ISBN: (纸本)9798350360721

ESG reporting, covering environmental, social, and governance aspects, is a crucial resource for investors, companies, and governments to understand a company's value. However, the sheer volume of data and information in the reports makes it difficult to retrieve specific information on ESG. ESG-BERT models are developed to categorize the content of ESG reports based on the relevant field. However, the accurate prediction of multiple classifications is difficult due to unevenly distributed labels. To address this problem, we used a self-made assistant based on GPT to label the data and then resampling technology to adjust the balance of the data set. After the data set was balanced, we adjusted to ESG-BERT to improve its multi-label classification accuracy. We evaluated multiple resampling methods and determined the most suitable strategy for classifying ESG report content. Thus, the accuracy of ESG content analysis was improved through more refined model adjustment and preprocessing methods. The results indicated that balancing the data for improved classification ensures fairness and objectivity in distributing content for ESG reports with multiple labels. © 2024 IEEE.

关键词： Classification (of information)

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Reclaiming public space: designing for public interaction with private devices 07

Reclaiming public space: Designing for public interaction wi...

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1st International Conference on Tangible and Embedded interaction

作者： Eriksson, Eva Hansen, Thomas Riisgaard Lykke-Olesen, Andreas IDC Interaction Design Collegium Dept. of Computer Science and Engineering Chalmers University of Technology Gothenburg Sweden Centre for Pervasive Healthcare Department of Computer Science University of Aarhus Aabogade 34 DK8200 Aarhus N Denmark Centre for Interactive Spaces Department of Design Aarhus School of Architecture Nørreport 20 DK8000 Aarhus C Denmark

ISBN: (纸本)159593619X

Public spaces are changing from being ungoverned places for interaction to be more formalized, controlled, less interactive, and designed places aimed at fulfilling a purpose. Simultaneously, new personal mobile technology aims at providing private individual spaces in the public domain. In this paper we explore the implications of interacting in public space and how technology can be rethought to not only act as personal devices, but be the tool to reclaim the right and possibility to interact in public spaces. We introduce information exchange, social support and regulation as three central aspects for reclaiming public space. The PhotoSwapper application is presented as an example of a system designed to integrate pervasive technology in a public setting. The system is strongly inspired by the activities at a traditional market place. Based on the design of the application we discuss four design challenges when designing for public interaction. Copyright 2007 ACM.

关键词： Interactive computer systems

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Advances in tangible interaction and ubiquitous virtual reality

Advances in tangible interaction and ubiquitous virtual real...

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作者： Hong, Dongpyo Höllerer, Tobias Haller, Michael Takemura, Haruo Cheok, Adrian David Kim, Gerard Jounghyun Billinghurst, Mark Woo, Woontack Hornecker, Eva Jacob, Robert J.K. Hummels, Caroline Ullmer, Brygg Schmidt, Albrecht Van Den Hoven, Elise Mazalek, Ali Gwangju Institute of Science and Technology Department of Computer Science University of California Santa Barbara Upper Austria University of Applied Sciences Department of Digital Media Infomedia Education Division Osaka University Cybermedia Center National University of Singapore Mixed Reality Lab. Keio University Department of Computer Science and Engineering Korea University Gwangju Institute of Science and Technology Open University Pervasive Interaction Lab. Department of Computer Science Tufts University Eindhoven University of Technology Department of Industrial Design Department of Computer Science Louisiana State University University of Duisburg Pervasive Computing and User Interface Engineering Group Essen Digital Media Program Georgia Institute of Technology

The first article reports on context-sensitive augmented-reality research presented at the 2007 International Symposium on Ubiquitous Virtual Reality. This student-organized event explored the use of contextual information, design principles, and effective user evaluation for developing AR applications for ubiquitous computing environments. The second article reports on The International Conference on Tangible and Embedded interaction, the first conference series worldwide to focus on tangible and embedded interaction. The conference is interdisciplinary, covering the arts, hardware design, software toolkits for prototyping, and user studies and theory development. © 2006 IEEE.

关键词： Virtual reality

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On the Influence of User Behaviour and Admission Control on System Performance in HS-DSCH

On the Influence of User Behaviour and Admission Control on ...

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IEEE Conference on Vehicular Technology (VTC)

作者： M. Folke U. Bodin Department of Computer Science and Electrical Engineering Division of Systems and Interaction Luleå University of Technology Sweden

In this paper we investigate the need for admission control for the high-speed downlink shared channel (HS-DSCH) through the evaluation of two admission control mechanisms. One mechanism uses the number of active users in a cell as a metric and the other one uses the mean downlink throughput of a user. We also introduce a model for user behaviour in which the goodput of a completed file download decides if further downloads are made. In order to measure user-experienced quality we use a utility function for transforming per-flow goodput into a user satisfaction index. System performance, measured by total user satisfaction and total goodput, is evaluated for a range of session arrival rates and admission control limits. This evaluation is done using the ns-2 simulator, together with extensions of our own. If the objective is to maximise goodput, our results show that no admission control is needed. Maximising user satisfaction benefits from an admission control. We also note that the impact of user behaviour is not insignificant

关键词： Admission control System performance Delay Multiaccess communication Downlink Streaming media Bandwidth Throughput Stability Control systems

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GPT4ESG: Streamlining Environment, Society, and Governance Analysis with Custom AI Models 4

GPT4ESG: Streamlining Environment, Society, and Governance A...

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4th IEEE International Conference on Electronic Communications, Internet of Things and Big Data, ICEIB 2024

作者： Lin, Lydia Hsiao-Mei Ting, Fang-Kai Chang, Ting-Jui Wu, Jun-Wei Tsai, Richard Tzong-Han National Taipei University of Technology Department of Interaction Design Taipei City Taiwan National Central University Department of Computer Science and Information Engineering Taoyuan City Taiwan Center for Gis Research Center for Humanities and Social Sciences Academia Sinica Taipei City Taiwan

ISBN: (纸本)9798350360721

Many companies now prioritize Environment, Society, and Governance (ESG) and financial performance due to concerns about climate change. We created GPT4ESG, a quick method to analyze a company's ESG investment and influence. GPT4ESG is a model system architecture based on BERT and GPT with five parts:(1) Data cleaning: The data is cleaned and preprocessed to ensure it is in a suitable format for the model. (2) Tokenizer adaptation: A customized GPT assistant is used to assist in scoring, and results are given after expert review. (3) Model adjustment: A classification layer is added to the output. (4) Fine-tuning: The pre-trained model is fine-tuned according to the ESG field know-how. (5) Evaluation and Testing: The model was tested on a validation set during training and then on a testing set. We collected ESG reports of well-known listed companies in the technology industries in the United States as a data set. The experimental results showed that the customized GPT4ESG model was more effective than ESG-BERT in classifying ESG data. This model simplifies ESG reporting for stakeholders to make responsible decisions. © 2024 IEEE.

关键词： Climate change

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