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The research of factors influencing advanced medical robot use

Quality and Quantity 2021年第2期55卷 385-393页

作者： Hung, Chin-Liang Department of Computer Science and Information Engineering Graduate Institute of Biomedical Electronics and Bioinformatics National Taiwan University Taipei Taiwan Department of Electrical Engineering National Taiwan University Taipei Taiwan

To understand the factors influencing medical robot use, this study developed a conceptual model and hypothesized that personal innovativeness in IT, perceived usefulness of IT and perceived ease of use of IT positively affect attitude toward medical robots, which in turn facilitates medical robot intention and medical robot use. By analyzing data from 276 surveys from Taiwan’s respondents who have employed medical robots, we demonstrate a positive effect of personal innovativeness in IT, perceived usefulness of IT and perceived ease of use of IT on attitude toward medical robots. In addition, attitude toward medical robots has a positive effect on medical robot intention and medical robot use. The main implications of study for medical robots firms are to conduct business activities to stress perceived usefulness of IT and perceived ease of use of IT, they can use Ads to describe the functions and advantages to draw user’ attitude toward medical robots. © 2020, Springer Nature B.V.

关键词： Attitude toward medical robots Medical robot intention Medical robot use Perceived ease of use of IT Perceived usefulness of IT Personal innovativeness in IT

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Design and implementation of a multifunctional FPGA-based system for intravascular ultrasound imaging and therapy

Design and implementation of a multifunctional FPGA-based sy...

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IEEE International Symposium on Applications of Ferroelectrics (ISAF)

作者： Amauri A. Assef Joaquim M. Maia Paula L S. De Moura Phuong Vu Adeoye Olomodosi Stephan Strassle Rojas Brooks D. Lindsey Graduate School of Electrical Engineering and Applied Computer Sciences (CPGEI) DAELT Federal University of Technology - Parana (UTFPR) Curitiba Brazil Graduate School of Electrical Engineering and Applied Computer Sciences (CPGEI) DAELN Federal University of Technology - Parana (UTFPR) Curitiba Brazil Graduate School of Electrical Engineering and Applied Computer Sciences (CPGEI) Federal University of Technology - Parana (UTFPR) Curitiba Brazil Department of Biomedical Engineering Georgia Institute of Technology Atlanta GA USA

ISBN: (数字)9798350371901

ISBN: (纸本)9798350371918

Coronary artery disease is a leading cause of death, with 17.8 million deaths globally. Intravascular ultrasound (IVUS) imaging is used to characterize coronary lesions and guide intervention in the cardiac catheterization lab. Separately, catheter-directed thrombolysis provides therapeutic ultrasound in an intravascular form factor to treat clots. In this paper, we propose to develop a flexible, multifunctional, FPGA-based pulser/receiver system for combined IVUS imaging and therapy. The novel system consists of a computer with a Matlab-based graphical user interface, an FPGA board and a custom proprietary board. An example therapy excitation is shown for a 1000-cycle, 550 kHz output waveform with an amplitude of 102 Vpp. This excitation was applied to a custom 3 mm therapy transducer, resulting in hydrophone-measured peak negative acoustic pressure of 305.28 kPa, a mechanical index of 0.41, I spta.3 of 5.64 mW/cm 2 and I sppa.3 of 310.36 mW/cm 2 . For imaging, the system can produce waveforms such as a 160 Vpp 1-cycle, 16.67 MHz sinusoidal pulse with a -6 dB bandwidth of 21 MHz. Thus, the developed system can be used to drive simultaneous IVUS imaging to assess the coronary environment and provide image-guided therapy of clots or plaques.

关键词： Ultrasonic imaging Transducers Imaging Medical treatment Pulse width modulation Universal Serial Bus Acoustics MATLAB Field programmable gate arrays Graphical user interfaces

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NMPC Strategy for Safe Robot Navigation in Unknown Environments Using Polynomial Zonotopes

NMPC Strategy for Safe Robot Navigation in Unknown Environme...

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IEEE Conference on Decision and Control

作者： Iuro B. P. Nascimento Brenner S. Rego Luciano C. A. Pimenta Guilherme V. Raffo Graduate Program in Electrical engineering Federal University of Minas Gerais Brazil Department of Electrical and Computer Engineering University of São Paulo Brazil Department of Electronic Engineering Federal University of Minas Gerais Brazil

This work proposes a nonlinear model predictive control (NMPC) strategy for robot navigation in cluttered unknown environments using polynomial zonotopes. The information provided by a laser sensor is used in the computation of the collision-free area. The procedure splits the area into convex subregions which are converted into polynomial zonotopes (PZs) to generate constraints for the NMPC optimal control problem. The PZ is a set representation that can describe polytopes using fewer constraints than conventional half-space representations, thus being more efficient while maintaining the accuracy equivalent to the polytopic case. Numerical experiments demonstrate the advantages of the proposed strategy.

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Exploring the Science and Art of UAV Light Painting: From Equations and Pixels to Long-Exposure Photography

Exploring the Science and Art of UAV Light Painting: From Eq...

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International Conference on Unmanned Aircraft Systems (ICUAS)

作者： Leonardo A. Fagundes-Junior Celso O. Barcelos Raquel F. Vassallo Alexandre S. Brandão Department of Electrical Engineering Robotics Specialization Center Graduate Program on Computer Science Federal University of Viçosa Viçosa MG Brazil Department of Electrical Engineering Federal University of Espirito Santo Vitória ES Brazil

ISBN: (数字)9798350357882

ISBN: (纸本)9798350357899

The use of Unmanned Aerial Vehicles (in short, UAVs, aka drones) for cultural and entertainment purposes, such as drone light shows, has grown exponentially. One such innovative and creative application is the visual arts using drones to explore long-exposure photography. Light painting are generally performed indoors and outdoors in a dedicated space with a human using a moving light source to create spectacular images and save the movement perception in a picture. In this work, we propose a robotic perception system designed to choreograph UAV movements based on time-parametric curves or image edges, serving as reference motions. Our framework begins by processing a digital image, extracting its contours through boundary tracing, and subsequently generating a safe, navigable, and precise path for UAV motion planning. This process involves optimizing waypoints within the UAV workspace to determine a feasible trajectory that encompasses all designated points or computes safe trajectories utilizing established mathematical equations. The validation of the motion planning is performed through light painting, where the UAV can either fly through the motion reference to mimic the original image. The generated trajectories on light painting mode by physical robots are compared against the ground-truth demonstrating the accuracy of the applied control scheme.

关键词： Photography Visualization Art Autonomous aerial vehicles Trajectory Planning Robots

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ATP_mCNN: Predicting ATP binding sites through pretrained language models and multi-window neural networks

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computers in Biology and Medicine 2025年 185卷 109541-109541页

作者： Le, Van-The Malik, Muhammad-Shahid Lin, Yi-Jing Liu, Yu-Chen Chang, Yan-Yun Ou, Yu-Yen Department of Computer Science and Engineering Yuan Ze University Chung-Li32003 Taiwan Graduate Program in Biomedical Informatics Yuan Ze University Chung-Li32003 Taiwan Department of Computer Sciences Karakoram International University Gilgit-Baltistan 15100 Pakistan

Adenosine triphosphate plays a vital role in providing energy and enabling key cellular processes through interactions with binding proteins. The increasing amount of protein sequence data necessitates computational methods for identifying binding sites. However, experimental identification of adenosine triphosphate-binding residues remains challenging. To address the challenge, we developed a multi-window convolutional neural network architecture taking pre-trained protein language model embeddings as input features. In particular, multiple parallel convolutional layers scan for motifs localized to different window sizes. Max pooling extracts salient features concatenated across windows into a final multi-scale representation for residue-level classification. On benchmark datasets, our model achieves an area under the ROC curve of 0.95, significantly improving on prior sequence-based models and outperforming convolutional neural network baselines. This demonstrates the utility of pre-trained language models and multi-window convolutional neural networks for advanced sequence-based prediction of adenosine triphosphate-binding residues. Our approach provides a promising new direction for elucidating binding mechanisms and interactions from primary structure. © 2024 Elsevier Ltd

关键词： Convolutional neural networks

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An enzyme-free interdigitated electrode for ketamine detection

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Journal of the Chinese Institute of Engineers, Transactions of the Chinese Institute of Engineers,Series A 2023年第5期46卷 441-452页

作者： Phan, Thien Luan Van Hieu, Nguyen Lin, Jing-Jenn Wu, Hsing-Ju Chu, Pei-Yi Hsiao, Chin-Sung Yao, Fiona Yan-Dong Lin, Yung-Kai Ching, Congo Tak Shing Graduate Institute of Biomedical Engineering National Chung Hsing University Taichung Taiwan Viet Nam Department of Applied Materials and Optoelectronic Engineering National Chi Nan University Taiwan Research Assistant Center Show Chwan Memorial Hospital Taiwan Department of Medical Research Chang Bing Show Chwan Memorial Hospital Taiwan Department of Pathology Show Chwan Memorial Hospital Taiwan School of Medicine College of Medicine Fu Jen Catholic University Taiwan Computer Science and Information Engineering Asia University Taiwan Division of Science Engineering and Health Studies College of Professional and Continuing Education The Hong Kong Polytechnic University Hong Kong Department of Food Science National Taiwan Ocean University Taiwan Department of Electrical Engineering National Chi Nan University Nantou County Taiwan

Ketamine is an anesthetic, which when used wrongly would affect judgment and behavior, increasing risks to individual such as unwanted or risky sexual behavior. This study reports the development of an admittance- and capacitance-spectroscopy-based sensor to detect ketamine in solution, such as whiskey, a popular alcoholic drink. The result confirms the proposed method is capable of detecting the presence of ketamine in whiskey, in concentration as low as 6.25 ng/μL, by using admittance and capacitance measured at 6.75 MHz, as well as quantifying the measured admittance (sensitivity: 300 μΩ−1/Log (ng/μL);limit of detection (LOD): 0.16 ng/μL) or capacitance data (sensitivity: 2 nF/Log (ng/μL);LOD: 0.73 ng/μL) at 18 kHz and 7.69 MHz, respectively. © 2023 The Chinese Institute of Engineers.

关键词： Capacitance

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Sentiment Analysis of Cooking Oil using Bidirectional Encoder Representations from Transformers 5

Sentiment Analysis of Cooking Oil using Bidirectional Encode...

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5th International Conference on Information and Communications Technology, ICOIACT 2022

作者： Widianto, Mochammad Haldi Heryadi, Yaya Lukas Suparta, Wayan Wibowo, Antoni Bina Nusantara University Computer Science Department Binus Graduate Program - Doctor of Computer Science Jakarta11480 Indonesia Faculty of Engineering Jakarta12930 Indonesia Institut Teknologi Nasional Yogyakarta Faculty of Industrial Technology Departement of Electrical Engineering Yogyakarta55281 Indonesia

ISBN: (数字)9781665451406

ISBN: (纸本)9781665451406

Recently, cooking oil has been widely discussed on social media. Many people ask how to analyze this phenomenon, one of which is using a sentiment analysis application on Twitter that performs a scientific analysis of the tweets of this media user. This study aims to test the performance of the sentiment analysis algorithm utilizing the Bidirectional Encoder Representations from Transformers (BERT) algorithm from Twitter, which is used to classify the types of tweets processed in 2000 tweets. The study shows the results of the confusion matrix, accuracy, and precision. The study obtained a fairly good accuracy and precision performance of 84%, which occurred at a learning rate of 1e-6 and epoch 5. The author also discusses the factors that affect the performance of BERT, such as;pre-processing, data quantity, and data variation. © 2022 IEEE.

关键词： Sentiment analysis

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Three-dimensional point cloud registration using particle swarm optimization 18

Three-dimensional point cloud registration using particle sw...

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18th International Conference on electrical engineering/Electronics, computer, Telecommunications and Information Technology, ECTI-CON 2021

作者： Wongkhuenkaew, Ritipong Auephanwiriyakul, Sansanee Theera-Umpon, Nipon Chiang Mai University Faculty of Engineering Graduate School Computer Engineering Department Chiang Mai Thailand Chiang Mai University Faculty of Engineering Biomedical Engineering Institute Computer Engineering Department Chiang Mai Thailand Chiang Mai University Faculty of Engineering Biomedical Engineering Institute Electrical Engineering Department Chiang Mai Thailand

ISBN: (纸本)9780738111278

In order to reconstruct a three-dimensional model, a registration process in the three-dimensional space is required. Although, there are many existing methods in finding transformation matrices, there are none that can handle translation, scaling, rotation, and sheering. Hence, in this paper, we develop a three-dimensional registration method using the particle swarm optimization (PSO). We generate three synthetic shapes, i.e., cube, cylinder, and pyramid. We also transform these shapes to provide the transformation ground truth. The results show that the proposed algorithm is able to find a very good transformation matrix with extremely small registration mean squared errors in the order of 10-31, 10-31, and 10-11 for cubical, cylindrical, and pyramidal shapes, respectively. © 2021 IEEE.

关键词： Three dimensional computer graphics

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Non-Hermitian selective thermal emitter for thermophotovoltaics

Non-Hermitian selective thermal emitter for thermophotovolta...

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2023 Conference on Lasers and Electro-Optics, CLEO 2023

作者： Prasad, Ciril S. Raphaelson, Samuel C. Naik, Gururaj V. Department of Electrical and Computer Engineering Rice University HoustonTX77005 United States Applied Physics Graduate Program Smalley-Curl Institute Rice University HoustonTX77005 United States Department of Material Science and NanoEngineering Rice University HoustonTX United States

ISBN: (纸本)9781957171258

Selective thermal emitters can boost the efficiency of heat-to-electricity conversion in thermophotovoltaic systems only if their spectral selectivity is high. We demonstrate a non-Hermitian metasurface-based selective emitter operating at 1200 K in a GaSb-thermophotovoltaic cell. © Optica Publishing Group 2023 © 2023 The Author(s)

关键词： III-V semiconductors

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Recent Advances in Quantum Computing for Drug Discovery and Development

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IEEE Nanotechnology Magazine 2023年第2期17卷 26-30页

作者： Wang, Pei-Hua Chen, Jen-Hao Yang, Yu-Yuan Lee, Chien Tseng, Yufeng Jane Chung Yuan Christian University Quantum Information Center Taoyuan City320314 Taiwan National Taiwan University College of Electrical Engineering and Computer Science Graduate Institute of Biomedical Electronics and Bioinformatics Taipei10617 Taiwan Chunghwa Telecom Co. Ltd. Taipei Taiwan National Taiwan University Department of Computer Science and Information Engineering Taipei10617 Taiwan National Center for Theoretical Sciences Physics Division Taipei10617 Taiwan National Taiwan University Center for Quantum Science and Engineering Taipei10617 Taiwan

Drug discovery and development is a time-consuming and cost-intensive process. computer-aided drug design can speed up the timeline and reduce costs by decreasing the number of necessary biochemical experiments. The number of studies using quantum computing to solve problems in drug development has been increasing in recent years. In this review, we briefly introduce the main steps in drug discovery and development and how computers help to find potential drug candidates. Recent studies of quantum computing in drug development based on the structure of target proteins are listed chronologically. They include protein structure prediction, molecular docking, quantum simulation, and quantitative structure-activity relationship (QSAR) models. Current quantum devices are still susceptible to noise and error but are well suited for hybrid quantum-classical algorithms. The quantum advantage is demonstrated on hybrid systems and quantum-inspired devices such as quantum annealers. We hope to see more applications of quantum computing in the field of drug discovery and development.

关键词： Proteins

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