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13th IEEE Global Conference on Consumer Electronic, GCCE 2024

作者： Morita, Shogo Zhang, Yan Yamauchi, Takuto Chen, Sinan Li, Jialong Tei, Kenji Tokyo Institute of Technology School of Computing Tokyo Japan University of Tokyo International Research Center for Neurointelligence Tokyo Japan Waseda University Department of Computer Science and Engineering Tokyo Japan Kobe University Center of Mathematical and Data Sciences Kobe Japan

ISBN: (纸本)9798350355079

People with color vision deficiency often face challenges in distinguishing colors such as red and green, which can complicate daily tasks and require the use of assistive tools or environmental adjustments. Current support tools mainly focus on presentation-based aids, like the color vision modes found in iPhone accessibility settings. However, offering context-aware support, like indicating the doneness of meat, remains a challenge since task-specific solutions are not cost-effective for all possible scenarios. To address this, our paper proposes an application that provides contextual and autonomous assistance. This application is mainly composed of: (i) an augmented reality interface that efficiently captures context;and (ii) a multi-modal large language model-based reasoner that serves to cognitize the context and then reason about the appropriate support contents. Preliminary user experiments with two color vision deficient users across five different scenarios have demonstrated the effectiveness and universality of our application. © 2024 IEEE.

关键词： Color vision

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Bipyridine-Confined Silver Single-Atom Catalysts Facilitate In-Plane C-O Coupling for Propylene Electrooxidation

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Nano Letters 2024年第5期24卷 1801-1807页

作者： Chi, Mingfang Zhao, Jiankang Ke, Jingwen Liu, Yan Wang, Ruyang Wang, Chuanhao Hung, Sung-Fu Lee, Tsung-Ju Geng, Zhigang Zeng, Jie Hefei National Research Center for Physical Sciences at the Microscale CAS Key Laboratory of Strongly-Coupled Quantum Matter Physics Key Laboratory of Surface and Interface Chemistry and Energy Catalysis of Anhui Higher Education Institutes Department of Chemical Physics University of Science and Technology of China Anhui Hefei230026 China School of Chemistry & Chemical Engineering Anhui University of Technology Anhui Ma’anshan243002 China Department of Applied Chemistry National Yang Ming Chiao Tung University Hsinchu300 Taiwan

The electrooxidation of propylene presents a promising route for the production of 1,2-propylene glycol (PG) under ambient conditions. However, the C-O coupling process remains a challenge owing to the high energy barrier. In this work, we developed a highly efficient electrocatalyst of bipyridine-confined Ag single atoms on UiO-bpy substrates (Ag SAs/UiO-bpy), which exposed two in-plane coordination vacancies during reaction for the co-adsorption of key intermediates. Detailed structure and electronic property analyses demonstrate that CH3CHCH2OH* and *OH could stably co-adsorb in a square planar configuration, which then accelerates the charge transfer between them. The combination of stable co-adsorption and efficient charge transfer facilitates the C-O coupling process, thus significantly lowering its energy barrier. At 2.4 V versus a reversible hydrogen electrode, Ag SAs/UiO-bpy achieved a record-high activity of 61.9 gPG m-2 h-1. Our work not only presents a robust electrocatalyst but also advances a new perspective on catalyst design for propylene electrooxidation. © 2024 American Chemical Society.

关键词： Propylene

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Ubi-Care: An Elderly Life Support Healthcare Framework Based on Ubiquitous Personal Online Data Stores

Ubi-Care: An Elderly Life Support Healthcare Framework Based...

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2024 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2024

作者： Chen, Hong Zhou, Tao Wu, Bo Graduate School of Human Sciences Waseda University Saitama359-1192 Japan Daiichi Institute of Technology Department of Information and Electronics System Engineering Taito Tokyo110-0005 Japan School of Computer Science Tokyo University of Technology Hachioji Tokyo192-0982 Japan

ISBN: (纸本)9781665410205

In recent years, the global aging population has intensified, leading to a sharp increase in social security benefits and caregiving costs. The elderly face greater health risks, and their behaviors often indicate signs of crises and illnesses. The rapid development of IoT technology offers new solutions for detecting abnormal signs, thereby promoting healthy aging, independent living, and social participation for the elderly. However, the diversity of IoT devices has led to the phenomenon of personal data silos. When the elderly leave their usual IoT environment, the issue of continuity in healthcare services becomes more pronounced. To address this issue, this study proposes a decentralized Ubi-Care framework. The framework aims to achieve complete separation of data and applications. It is based on the ActivityPub protocol and integrates various data from wearable devices, smart home sensors, and social networks, storing this data in a ubiquitous personal online data store (UPOD) and assigning different roles based on data type. UPOD applications support bidirectional following, allowing users to access data associated with relevant roles, addressing issues related to data categorization, sharing, privacy, and security. Additionally, this study proposes a method for utilizing complete UPOD data to perform anomaly detection based on the hidden Markov model (HMM). By effectively integrating IoT data into UPOD and enhancing data interoperability. The data-sharing model proposed in this study also facilitates elderly individuals and their family members in sharing relevant data as needed, while ensuring privacy protection. The methods proposed in this study will help prevent accidental injuries and enable early diagnosis of diseases, providing strong technical support for elderly healthcare. © 2024 IEEE.

关键词： Electronic health record

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Real-time Human Action Recognition using Deep Convolutional Neural Networks 15

Real-time Human Action Recognition using Deep Convolutional ...

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15th International Conference on Computing Communication and Networking Technologies, ICCCNT 2024

作者： Vignesh, R. Balaraju, J. Poongothai, P. Rajput, Vaishali Rajkumar, N. Pratheep, V.G. Karunya Institute of Technology and Sciences Division of Artificial Intelligence and Machine Learning Karunya Nagar Coimbatore India Anuraag University Department of Cse Hyderabad India Department of Computer Science Bangalore India Vishwakarma Institute o Technology Computer engineering Pune India Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology Cse Thiruvalluvar Tamil Nadu Avadi India Kongu Engineering College Department of Mechatronics Engineering Tamil Nadu Perundurai638060 India

ISBN: (纸本)9798350370249

current advances in deep gaining knowledge of have enabled automated systems to understand human moves from movies in actual-time. Deep convolutional neural networks (DCNNs) had been used to allow accurate and efficient real-time movement reputation. with the aid of leveraging the statistics-driven illustration mastering capability of DCNNs, movement popularity has become a powerful device for video analysis applications including robotics, surveillance, entertainment, augmented truth, and healthcare. DCNNs use an aggregate of densely connected convolutional layers and in addition completely linked layers for function extraction from films. The proposed architectures are usually skilled using supervised learning. Convolutional layers are used to understand nearby abstractions in motion pictures, which in turn are used to research worldwide features. diverse techniques together with temporal segmentation, movement-based characteristic extraction, and feature switch gaining knowledge of are also hired by means of DCNNs for achieving higher performance. recent works have investigated exceptional techniques to enhance the accuracy and speed of action reputation the use of DCNNs. This consists of techniques which includes model compression, decoupled inference networks, and efficient convolutional networks. By using combining those strategies, it's far viable to acquire higher popularity accuracy at the same time as at the equal time preserving an excessive computational speed. © 2024 IEEE.

关键词： Computational Equal Excessive Gaining Research Speed

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Design Concept of a Mental Health Monitoring Application with Explainable Assessments 34

Design Concept of a Mental Health Monitoring Application wit...

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34th Australasian Conference on Information Systems, ACIS 2023

作者： De Silva, Upeka Madanian, Samaneh Templeton, John Michael Poellabauer, Christian Schneider, Sandra L. Narayanan, Ajit Department of Computer Science and Software Engineering Auckland University of Technology Auckland New Zealand Department of Computer Science and Engineering University of South Florida TampaFL33620 United States School of Computing and Information Sciences Florida International University MiamiFL33199 United States Department of Communicative Sciences and Disorders Saint Mary's College Notre DameIN46556 United States

Mental health has become a global issue with growing numbers of cases. Digital phenotyping in mental healthcare provides a highly effective, scaled, cost-effective approach to handling global mental health problems. Monitoring and diagnosis of mental health through mobile technologies are at an early stage. This paper proposes a novel architecture for a mobile application design based on speech and behavioural analysis that can lead to evidence-based monitoring outside of clinical settings. The application is designed to monitor the overall mental health status of individuals based on mood, stress, behaviour, and personality. It proposes to integrate objective mental health assessment from smartphone data with subjective assessments via periodic, short, self-reported, standardized questionnaires. The solution proposes explainable assessments for individual users and clinicians to build user trust and system credibility. This research provides insight into how digitally assisted mental health monitoring can be implemented in future mobile digital technologies using passive sensing. Copyright © 2023 De Silva, Madanian, Templeton, Poellabauer, Schneider and Narayanan.

关键词： Smartphones

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Mean-Closure Based Multimodal Biometric System using Sum- Combinational Rule 2

Mean-Closure Based Multimodal Biometric System using Sum- Co...

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2nd IEEE International Conference on Intelligent Technologies, CONIT 2022

作者： Tomar, Peeyush Singh, Ram C. Abidi, Ali Imam Vidya College of Engineering Department of Computer Science and Engineering Meerut India School of Basic Sciences and Research Sharda University Department of Physics Greater Noida India School of Engineering and Technology Sharda University Department of Computer Science and Engineering Greater Noida India

ISBN: (数字)9781665484077

ISBN: (纸本)9781665484077

Under the basic sum-rule-based score-level fusion, the performance of a multi-biometric system can be enhanced by applying an effective normalization technique. It can also be improved by applying weighting techniques to the individual biometric scores under the score-level fusion method. Under the weighted sum-rule-based score-level fusion, each biometric score is assigned a weight as per weighting schemes. This paper presents a multimodal biometric system using fingerprints and faces under a score-level fusion scheme. The Mean-Closure weighting scheme is used to assign weights to the biometric scores of fingerprints and faces. This scheme resolves the problem of scores that lie in the overlapping region of the biometric score distribution. The resultant scores are fused using a simple sum rule to generate a score that distinguishes between genuine and imposter scores on different thresholds. The experimental results are carried out on a self-constructed database of fingerprints and faces of 150 people. The proposed biometric system delivers an accuracy of 97.65% and a GAR of 98.55%, which outperforms the performance of the unimodal biometric system. © 2022 IEEE.

关键词： Biometrics

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Signatures of irradiated cells from hyperspectral images 11

Signatures of irradiated cells from hyperspectral images

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Advanced Topics in Optoelectronics, Microelectronics, and Nanotechnologies XI 2022

作者： Negoita, Raluca D. Ungureanu, Mihaela Andreea Popescu, Roxana C. Pleava, Ana M. Tudor, Mihaela Dinischiotu, Anca Savu, Diana Mihailescu, Mona Scarlat, Eugen N. Applied Sciences Doctoral School Politehnica University Bucharest Romania CAMPUS Research Center Politehnica University Bucharest Romania Doctoral School of Computer Sciences Politehnica University Bucharest Romania Department of Life and Environmental Physics National Institute for Physics and Nuclear Engineering Horia Hulubei Magurele Romania Faculty of Biology University of Bucharest Bucharest050095 Romania Holographic Imaging and Processing Laboratory Physics Department Politehnica University Bucharest Romania Centre for Research in Fundamental Sciences Applied in Engineering Politehnica University Bucharest Romania

ISBN: (纸本)9781510660939

We used enhanced darkfield microscopy (EDM) to record hyperspectral images (HSI) of attached cells from SW1353 chondrosarcoma cell line exposed to ionizing radiation (X-rays, protons). Our investigations are conducted to highlight the effects induced by the incident radiation onto cells characteristics, their structural and morphological changes, revealed by HSI images. The cell nucleus was segmented and analysed separately on their entire area or at the level of a single pixel. Global analysis of the whole nucleus area was performed to find geometrical parameters: area, perimeter, major axis, circularity, eccentricity, solidity. Statistical analysis was performed on distributions of intensity values separated on five spectral intervals. Local analysis, at single-pixel level or at regions of interest was performed in terms of spectral profile, separated on nucleus and cytoplasm. This study suggests that the nonirradiated cells have spectral profiles with multiple maxima, in contrast with the irradiated cells which display single-peak spectral profiles. Differences between irradiated and nonirradiated cells were observed in parameters like area, eccentricity, solidity, kurtosis, skewness at different spectral intervals. © 2023 SPIE.

关键词： Ionizing radiation

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Design and Implementation of a Test Bench for Regenerative Braking Evaluation on E-Bike Motor

Design and Implementation of a Test Bench for Regenerative B...

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IEEE Workshop on Electrical Machines Design, Control and Diagnosis (WEMDCD)

作者： Marcello Minervini Paolo Giangrande Filippo Cortinovis Lorenzo Mantione Davide Previtali Department of Engineering and Applied Sciences University of Bergamo Dalmine Italy Department of Electrical Computer and Biomedical Engineering University of Pavia Pavia Italy Department of Management Information and Production Engineering University of Bergamo Dalmine Italy

ISBN: (数字)9798331520748

ISBN: (纸本)9798331520755

A test bench for evaluating e-bike motors with the purpose of assessing their regenerative capability is presented and implemented, while the main design choices are discussed. The test bench is specifically designed to emulate the driving cycle of a Light Electric Vehicle (LEV), and it includes peculiar characteristics, such as 1) an appropriate inertia in order to account for the LEV's inertia, and 2) an active load, which simulates the descent slopes along with the cyclist's torque. Prior to a brief addressing of the typical issues regarding regenerative braking in LEVs, the test bench's design process is explained, and the manufactured system is detailed. After the inherent test bench friction quantification, the developed testing system is employed to characterize a commercial e-bike electric drive, and its capability of recharging the battery pack by harvesting energy is also examined.

关键词： Motor drives Torque Friction Current measurement Pulse width modulation Motors Electric vehicles Batteries Voltage control Testing

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Programmable quantum emitter formation in silicon

Programmable quantum emitter formation in silicon

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CLEO: Fundamental Science, CLEO:FS 2024 - Part of Conference on Lasers and Electro-Optics, CLEO 2024

作者： Jhuria, Kaushalya Ivanov, Vsevolod Polley, Debanjan Liu, Wei Persaud, Arun Zhiyenbayev, Yertay Redjem, Walid Qarony, Wayesh Parajuli, Prabin Ji, Qing Gonsalves, Anthony Bokor, Jeffery Tan, Liang Kanté, Boubacar Schenkel, Thomas Accelerator Technology and Applied Physics Division Lawrence Berkeley National Laboratory BerkeleyCA94720 United States Department of Electrical Engineering and Computer Sciences University of California BerkeleyCA94720 United States Department of Physics and Nanotechnology SRM Institute of Science and Technology Kattankulathur Tamil Nadu Chennai India Molecular Foundry Lawrence Berkeley National Laboratory BerkeleyCA94720 United States

ISBN: (纸本)9781957171395

关键词： Photons

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Programmable quantum emitter formation in silicon 2

Programmable quantum emitter formation in silicon

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Quantum Sensing, Imaging, and Precision Metrology II 2024

作者： Jhuria, K. Ivanov, V. Polley, D. Liu, W. Persaud, A. Zhiyenbayev, Y. Redjem, W. Qarony, W. Parajuli, P. Ji, Qing Gonsalves, A.J. Bokor, J. Tan, L.Z. Kanté, B. Schenkel, T. Accelerator Technology and Applied Physics Division Lawrence Berkeley National Laboratory BerkeleyCA94720 United States Department of Electrical Engineering and Computer Sciences University of California BerkeleyCA94720 United States Department of Physics and Nanotechnology SRM Institute of Science and Technology Kattankulathur Tamil Nadu Chennai India Molecular Foundry Lawrence Berkeley National Laboratory BerkeleyCA94720 United States

ISBN: (纸本)9781510670846

Here, we demonstrate local writing and erasing of selected light-emitting defects using fs laser pulses in combination with hydrogen-based defect activation and passivation. By selecting forming gas (N2/H2) during thermal annealing of carbon-implanted silicon, we form Ci centers while passivating the more common G-centers. The Ci center is a telecom S-band emitter with very promising spin properties that consists of a single interstitial carbon atom in the silicon lattice. Density functional theory calculations show that the Ci center brightness is enhanced by several orders of magnitude in the presence of hydrogen. Fs-laser pulses locally affect the passivation or activation of quantum emitters with hydrogen and enable programmable quantum emitter formation in a qubit-by-design paradigm. © 2024 SPIE. All rights reserved.

关键词： Hydrogen

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