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IEEE International Conference on Consumer Electronics (ICCE)

作者： Kanaru Fumimoto Yusuke Sakaue Shima Okada Ryohei Tsuji Naruhiro Shiozawa Kazuho Yamaura Takeshi Hashimoto Masaaki Makikawa Graduate School of Science and Engineering Ritsumeikan University Shiga Japan Ritsumeikan Global Innovation Research Organization Ritsumeikan University Shiga Japan Department of Robotics Faculty of Science and Engineering Ritsumeikan University Shiga Japan Faculty of Sport and Health Science Ritsumeikan University Shiga Japan Research Organization of Science and Technology Ritsumeikan University Shiga Japan

In recent years, global populations have been aging, resulting in social isolation and loneliness among the elderly becoming a growing problem. Therefore, it is important to reduce social isolation and loneliness. For the elderly, conversation with others can reduce loneliness and, in particular, conversation concerning their own interests can improve cognitive functions. Having an interest in conversation and autonomic nervous system activity are closely related. By measuring autonomic nervous system activity, the degree of interest in a conversation can be measured as the amount of mind activity. As a non-contact measurement of autonomic nervous system activity, the ratio of the color green and blue in the face in a video (the G/B ratio) can quantitatively indicate the expansion and contraction of facial capillaries by using the light absorption property. In this study, a validation experiment was conducted to measure the autonomic nervous system activity of elderly people during conversations. Pulse rate — the most used current measure of autonomic nervous system activity — and facial images were measured during conversation, and a questionnaire on liveness was also administered to investigate the relationship between pulse rate, the G/B ratio, and subject’s interest in conversation. As a result, pulse rate increased with interest in the conversation, and G/B ratio decreased with interest in the conversation. Furthermore, pulse rate and the G/B ratio had a negative correlation (N=10, correlation coefficient =-0.56), suggesting that the G/B ratio can measure autonomic nervous system activity during conversation. As a future prospect, the G/B ratio will be incorporated into camera video processing in communication robots and online interview systems, contributing to a reduction of the isolation experienced by the elderly by inducing effective conversation.

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Value Stream Mapping for Smart Pharmaceutical Management in a Thai Hospital

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Procedia Computer science 2025年 253卷 495-504页

作者： Ganda Boonsothonsatit Rardchawadee Silapunt Supachai Vongbunyong Kamol Kaemarungsi Wirachchaya Chanpuypetch Nilubon Chonsawat Graduate School of Management and Innovation King Mongkut’s University of technology Thonburi Thailand Electronic and Telecommunication Engineering King Mongkut’s University of Technology Thonburi Thailand Hospital Automation Research Center Institute of Field Robotics King Mongkut’s University of Technology Thonburi Thailand National Electronics and Computer Technology Center National Science and Technology Development Agency Thailand Faculty of Agro-Industry Chiang Mai University Thailand Department of Agricultural Economy and Developement Faculty of Agriculture Chiang Mai University Thailand

The evolution of healthcare systems worldwide necessitates continual improvement in hospital management practices, particularly pharmaceutical management. This paper explores transforming traditional pharmaceutical management systems in large and medium-sized hospitals in Thailand into smart systems using Value Stream Mapping (VSM) as a guiding tool. Traditional systems often face challenges such as inefficiencies and medication errors. VSM, rooted in lean management principles, offers a structured approach to visualize and optimize processes. Additionally, smart technologies like automated inventory systems and electronic health records enhance pharmaceutical management effectiveness. Through a comprehensive research methodology encompassing case studies, data collection, and VSM analysis, this study identifies inefficiencies and proposes evidence-based strategies for improvement. Results from a case study highlight the benefits of VSM implementation in enhancing pharmacy operations, emphasizing improved patient care and operational efficiency. The implementation of a smart medication dispensing system shows promising results in reducing workload and accommodating increased patient arrivals. Continued evaluation and refinement are crucial for maximizing benefits and addressing emerging challenges effectively.

关键词： lean management smart medication dispensing smart pharmaceutical smart technologies Value Stream Mapping

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Comparison of Object Detection Technique for Applications in ETAT Automation Training Set

Comparison of Object Detection Technique for Applications in...

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International Conference on Information technology (INCIT)

作者： Karin Kosiyanurak Pongpat Singsri Soontaree Seangsri Sommart Promput Department of Mechatronics and Robotics Engineering School of Engineering and Innovation Rajamangala University of Technology Tawan-ok Chonburi Thailand Department of Information and Communication Technology Faculty of Science and Technology Rajamangala University of Technology Tawan-ok Chonburi Thailand

Object detection is a type of artificial intelligence (AI) that is currently being developed and used widely. It can classify and detect objects in images or videos. This research aims to investigate object detection that is suitable and accurate for detecting the color of the workpieces in the training set. This study will experiment comparison of three object detection models: 1. OpenCV Python code via the Thonny software. Using the BGR color separation principle, the range of color values must be specified so that the model can separate different colors. 2. V4-tiny and 3. V7-tiny are models that use model training principles in the CiRA-CORE Platform. In this study, 1,271 images of workpieces processed with the Augmentation Technique were utilized to train the model. and 240 images for testing the model. To analyze of find a suitable and accurate model for detecting the color of workpieces Because light is important in visual or object detection in real-time this study divided the experiment into two conditions: LED Lighting and without LED Lighting. The results showed that V7-tiny is an object detection model that can detect the color of the target in both lighting conditions. The V7-tiny model has an accuracy of 97.92%.

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Distributed Cascade Force Control of Soft-Tactile-Based Multi-robot System for Object Transportation

Distributed Cascade Force Control of Soft-Tactile-Based Mult...

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IEEE/SICE International Symposium on System Integration

作者： Duy Anh Nguyen Nhat Minh Dinh Le Nhan Huu Nguyen Pham Duy Hung Van Anh Ho Trung Dung Ngo More-Than-One Robotics Laboratory Faculty of Sustainable Design Engineering University of Prince Edward Island Charlottetown Canada Soft Haptics Lab. School of Materials Science Japan Advanced Institute of Science and Technology Nomi Ishikawa Japan University of Engineering and Technology Vietnam Japan Science and Technology Agency PRESTO Kawaguchi Saitama Japan

In this paper, we present a distributed cascade force control system (DCFC) for multiple robots with the aim of pushing a rigid object towards a desired moving target without their inter-robot communication. These mobile robots are equipped with 360-degree vision-based soft tactile sensors utilized to determine contact location and resultant impact force. By investigating the dynamics of moving rigid objects on the flat, we proposed a distributed cascade control. The inner loop control incorporates contact force and positioning, ensuring the robots' pushing contact and applying the desired force to the object. The outer loop control coordinates the robots to push the object in a desired direction without inter-robot communication, regardless of unknown object mass and friction uncertainty. The stability and convergence of the control system are verified using the Lyapunov stability theory. We also conducted simulation and real-world experiments to validate the performance of the proposed control method, and the experimental results showcase the successful coordination of multiple robots in pushing an object towards a moving desired direction.

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Capturing Contact Surfaces by a Frustrated Total Internal Reflection System Using a Curved Plate for Comparison of the Beginning of Touching Motions by Humanitude Experts and Novices

Capturing Contact Surfaces by a Frustrated Total Internal Re...

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

作者： Yuguchi, Akishige Toyoda, Mayuki Cho, Sung-Gwi Nakazawa, Atsushi Takamatsu, Jun Yoshino, Koichiro Ogasawara, Tsukasa Tokyo University of Science Faculty of Advanced Engineering Katsushika-ku Tokyo125-8585 Japan Guardian Robot Project Riken Seika-cho Sorakugun Kyoto619-0288 Japan Nara Institute of Science and Technology Nara Ikoma630-0192 Japan School of Science and Engineering Tokyo Denki University Hatoyama-machi Saitama Hiki-gun350-0394 Japan Graduate School of Interdisciplinary Science and Engineering in Health Systems Okayama University Okayama Kita-ku700-8530 Japan Applied Robotics Research Microsoft Corporation RedmondWA98052 United States

ISBN: (纸本)9781665410205

Analyzing time-series changes of the contact surface by touching is important to elucidate the touching skills of Humanitude as one of the pervasive multimodal comprehensive care methodologies. For the analysis, there is a frustrated total internal reflection (FTIR) method to capture contact surfaces on a transparent flat plate by a camera. However, this conventional flat plate is far from the actual surfaces of care receivers because the surfaces of humans consist of curved shapes. In this paper, we propose an FTIR sensing system using a transparent curved plate to capture more ideal contact states with a surface shape more similar to the human body. We collect the contact surface data of the beginning of touching motions by Humanitude experts and novices using the FTIR sensing system with the curved and flat plates. Then, we compare the data by the experts and novices in terms of time-series contact areas and the quantitative indices and subjective evaluation and discuss the analysis results. Through these experiments, we confirm that the proposed system has the potential for the novices to perform more correctly the beginning of Humanitude's touching motions. © 2024 IEEE.

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Software Tools for Signal and Data Analysis Using LabView Platform

Software Tools for Signal and Data Analysis Using LabView Pl...

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International Symposium on Fundamentals of Electrical Engineering (ISFEE)

作者： Cerasela Camui Liviu Popescu Viorel Petre George Constantin Faculty of Electrical Engineering National University of Science and Technology Politehnica Bucharest Romanaia Department of Electrical Machines Materials and Drives Faculty of Electrical Engineering National University of Science and Technology Politehnica Bucharest Romanaia Department of Measurements Electrical Devices and Static Converters National University of Science and Technology Politehnica Bucharest Romanaia Department Machine and Production Systems Faculty of Industrial Engineering and Robotics National University of Science and Technology Politehnica Bucharest Romanaia

ISBN: (数字)9798350308563

ISBN: (纸本)9798350308570

The solutions for the computerized integration, control and management of all the (vital) functions of some technical installations, aim to reduce administrative and maintenance costs, to increase the efficiency and comfort of the occupants and to improve business performance in general. Signal processing is one of the most studied domains as, in real life, the distances between the signal generation and the decision unit can be important. Also, the generation of the signal at the source is not without additional noise. For example, when controlling electric powertrains, this noise can be a source of errors. The possibility of creating commands that destabilize the vehicle is not far off. In this context, the present paper proposes few ways, tools and examples that are able to generate signals and noises. The result is displayed to observe signal evolution without or with the influence of other processes. The examples are built using National Instruments' graphical programming environment, LabVIEW.

关键词： Data analysis Noise Process control Phase control Mechanical power transmission Signal generators Real-time systems

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Sparse Uncertainty-Informed Sampling from Federated Streaming Data

arXiv

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arXiv 2024年

作者： Röder, Manuel Schleif, Frank-Michael Technical UAS Würzburg-Schweinfurt Fac. of Computer Science Würzburg Germany Bielefeld University Faculty of Technology Bielefeld Germany Center for Artificial Intelligence and Robotics Würzburg Germany

We present a numerically robust, computationally efficient approach for non-I.I.D. data stream sampling in federated client systems, where resources are limited and labeled data for local model adaptation is sparse and expensive. The proposed method identifies relevant stream observations to optimize the underlying client model, given a local labeling budget, and performs instantaneous labeling decisions without relying on any memory buffering strategies. Our experiments show enhanced training batch diversity and an improved numerical robustness of the proposal compared to existing strategies over large-scale data streams, making our approach an effective and convenient solution in FL environments. Copyright © 2024, The Authors. All rights reserved.

关键词： Data streams

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Assessment of background noise properties in time and time-frequency domains in the context of vibration-based local damage detection in real environment

arXiv

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arXiv 2024年

作者： Skowronek, Katarzyna Barszcz, Tomasz Antoni, Jerome Zimroz, Radoslaw Wylomańska, Agnieszka Faculty of Pure and Applied Mathematics Hugo Steinhaus Center Wroclaw University of Science and Technology Wyspianskiego 27 Wroclaw50-370 Poland Faculty of Mechanical Engineering and Robotics AGH University of Science and Technology Al. Mickiewicza 30 Krakow30-059 Poland Univ Lyon INSA Lyon LVA EA677 Villeurbanne69621 France Faculty of Geoengineering Mining and Geology Wroclaw University of Science and Technology Na Grobli 15 Wroclaw50-421 Poland

Any measurement in condition monitoring applications is associated with disturbing noise. Till now, most of the diagnostic procedures have assumed the Gaussian distribution for the noise. This paper shares a novel perspective to the problem of local damage detection. The acquired vector of observations is considered as an additive mixture of signal of interest (SOI) and noise with strongly non-Gaussian, heavy-tailed properties, that masks the SOI. The distribution properties of the background noise influence the selection of tools used for the signal analysis, particularly for local damage detection. Thus, it is extremely important to recognize and identify possible non-Gaussian behavior of the noise. The problem considered here is more general than the classical goodness-of-fit testing. The paper highlights the important role of variance, as most of the methods for signal analysis are based on the assumption of the finite-variance distribution of the underlying signal. The finite variance assumption is crucial but implicit to most indicators used in condition monitoring, (such as the root-mean-square value, the power spectral density, the kurtosis, the spectral correlation, etc.), in view that infinite variance implies moments higher than 2 are also infinite. The problem is demonstrated based on three popular types of non-Gaussian distributions observed for real vibration signals. We demonstrate how the properties of noise distribution in the time domain may change by its transformations to the time-frequency domain (spectrogram). Additionally, we propose a procedure to check the presence of the infinite-variance of the background noise. Our investigations are illustrated using simulation studies and real vibration signals from various machines. © 2024, CC BY.

关键词： Damage detection

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A Stacked LSTM-Based Approach for Reducing Semantic Pose Estimation Error

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IEEE Transactions on Instrumentation and Measurement 2021年 70卷 1-14页

作者： Azzam, Rana Alkendi, Yusra Taha, Tarek Huang, Shoudong Zweiri, Yahya Khalifa University of Science and Technology Abu Dhabi United Arab Emirates Robotics Lab Dubai Future Foundation Dubai United Arab Emirates University of Technology Sydney UltimoNSW2007 Australia Faculty of Science Engineering and Computing Kingston University London LondonSW15 3DW United Kingdom

Achieving high estimation accuracy is significant for semantic simultaneous localization and mapping (SLAM) tasks. Yet, the estimation process is vulnerable to several sources of error, including limitations of the instruments used to perceive the environment, shortcomings of the employed algorithm, environmental conditions, or other unpredictable noise. In this article, a novel stacked long short-term memory (LSTM)-based error reduction approach is developed to enhance the accuracy of semantic SLAM in presence of such error sources. Training and testing data sets were constructed through simulated and real-time experiments. The effectiveness of the proposed approach was demonstrated by its ability to capture and reduce semantic SLAM estimation errors in training and testing data sets. Quantitative performance measurement was carried out using the absolute trajectory error (ATE) metric. The proposed approach was compared with vanilla and bidirectional LSTM networks, shallow and deep neural networks, and support vector machines. The proposed approach outperforms all other structures and was able to significantly improve the accuracy of semantic SLAM. To further verify the applicability of the proposed approach, it was tested on real-time sequences from the TUM RGB-D data set, where it was able to improve the estimated trajectories. © 1963-2012 IEEE.

关键词： Long short-term memory

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Foundation Models for Weather and Climate Data Understanding: A Comprehensive Survey

arXiv

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arXiv 2023年

作者： Chen, Shengchao Long, Guodong Jiang, Jing Liu, Dikai Zhang, Chengqi Australian Artificial Intelligence Institute School of Computer Science Faculty of Engineering and Information Technology University of Technology Sydney SydneyNSW2007 Australia Robotics Institute University of Technology Sydney SydneyNSW2007 Australia

As artificial intelligence (AI) continues to rapidly evolve, the realm of Earth and atmospheric sciences is increasingly adopting data-driven models, powered by progressive developments in deep learning (DL). Specifically, DL techniques are extensively utilized to decode the chaotic and nonlinear aspects of Earth systems, and to address climate challenges via understanding weather and climate data. Cutting-edge performance on specific tasks within narrower spatio-temporal scales has been achieved recently through DL. The rise of large models, specifically large language models (LLMs), has enabled fine-tuning processes that yield remarkable outcomes across various downstream tasks, thereby propelling the advancement of general AI. However, we are still navigating the initial stages of crafting general AI for weather and climate. In this survey, we offer an exhaustive, timely overview of state-of-the-art AI methodologies specifically engineered for weather and climate data, with a special focus on time series and text data. Our primary coverage encompasses four critical aspects: types of weather and climate data, principal model architectures, model scopes and applications, and datasets for weather and climate. Furthermore, in relation to the creation and application of foundation models for weather and climate data understanding, we delve into the field’s prevailing challenges, offer crucial insights, and propose detailed avenues for future research. This comprehensive approach equips practitioners with the requisite knowledge to make substantial progress in this domain. Our survey encapsulates the most recent breakthroughs in research on large, data-driven models for weather and climate data understanding, emphasizing robust foundations, current advancements, practical applications, crucial resources, and prospective research opportunities. Copyright © 2023, The Authors. All rights reserved.

关键词： Time series

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