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2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024

作者： Rancati, Simone Pala, Daniele Marini, Simone Salemi, Marco Bellazzi, Riccardo Nicora, Giovanna University of Pavia Department of Electrical Computer and Biomedical Engineering Pavia Italy University of Florida Department of Epidemiology Gainsville United States University of Florida Department of Pathology Gainsville United States

ISBN: (纸本)9798350386226

The COVID-19 pandemic has profoundly impacted global health, leading to millions of deaths and overwhelming healthcare systems worldwide. This study investigates the relationship between SARS-CoV-2 sequencing rates and critical epidemiological parameters, such as cases, deaths, and ICU admissions, across 25 European countries from January 2020 to November 2023. By analyzing these relationships, we aim to determine whether sequencing efforts were reactive - in response to epidemiological pressures - or proactive, guided by public health strategies. The analysis used publicly available data from GISAID, OxCGRT, and ECDC, and included weekly aggregation, correlation analysis, and the application of TimeGPT for predictive modeling. Results show that sequencing rates were significantly correlated with ICU admissions, hospitalizations, case numbers, and deaths, though with variability between countries and over different pandemic phases. TimeGPT analysis revealed that sequencing rates were often the most informative feature for predicting future COVID-19 cases in many countries. These findings highlight the potential of sequencing rates to serve as early indicators for severe pandemic outcomes and underscore the importance of context-specific approaches for managing future health crises. © 2024 IEEE.

关键词： COVID-19

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Configurable Dynamics of Electromagnetic Suspension by Fuzzy Takagi-Sugeno Controller 21st

Configurable Dynamics of Electromagnetic Suspension by Fuzzy...

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21st Polish Control Conference, PCC 2023

作者： Pilat, Adam Krzysztof Milanowski, Hubert Bieszczad, Rafal Sikora, Bartiomiej Faculty of Electrical Engineering Automatics Computer Science and Biomedical Engineering Department of Automatic Control and Robotics AGH-University of Science and Technology Krakow Poland

ISBN: (纸本)9783031351693

This elaboration presents the synthesis of the Takagi-Sugeno type Fuzzy Logic controller realizing the programmable parameters of the state feedback controller together with the steady state current for the active magnetic levitation system. Closed-loop dynamics was calculated precisely with respect to the requested dynamics. Two cases were considered: fixed-and variable-closed-loop dynamics. The Fuzzy Logic Controller was considered under four scenarios with linear, nonlinear, and constant in-range output. The study was supported by simulations and experimental investigations. The position of the levitating sphere stands as an illustration of the system in operation. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.

关键词： Dynamics

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Deploying YOLOV10 for Affordable Real-Time Handgun Detection 22

Deploying YOLOV10 for Affordable Real-Time Handgun Detection

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22nd IEEE International Symposium on Intelligent Systems and informatics, SISY 2024

作者： Zigulic, Nikola Glucina, Matko Frank, Domagoj Lorencin, Ivan Sverko, Zoran Matika, Dario University of Rijeka Faculty of Engineering Rijeka Croatia Istrian University of Applied Sciences Department of Engineering Pula Croatia University North Department of Computer Science and Informatics Koprivnica Croatia Juraj Dobrila University of Pula Faculty of Informatics Pula Croatia University North Department of Electrical engineering Varaždin Croatia

ISBN: (纸本)9798350385601

The development of artificial intelligence is one of the most significant technological innovations that contributes to humanity with its characteristics and facilitates, secures, and improves everyday life. However the challenge arises when the programmer-engineer learns the algorithm of artificial intelligence to perform the proposed task, that is, the challenge lies in the issue of available hardware resources. Artificial intelligence algorithms perform many human-impossible tasks, such as detection and counting, i.e. calculating the interrelationships of individual objects, segmentation of tumors and other malignant diseases, i.e. tissues, classification of specific states of classes of a scene, and many other similar technologies. This research paper examines the possibility of implementing the You Only Look Once algorithm of the tenth generation on certain devices such as an affordable Raspberry Pi, and will discuss the advantages and disadvantages of changes in detection parameters, i.e. inferences to the applied model. In addition, a mock-up of the device will be shown, which will serve to provide timely information about criminals and suspicious persons who possess firearms in different situations, such as normal weather conditions in a populated place or in shops where petty robberies are frequent. The testing will be done using recorded videos in real-time scenarios. Finally, real-time inference or detection in real-time will be tested and the actions that Raspberry will perform will be simulated. The results indicate that the optimal model achieved a precision of 0.938, recall of 9.863, mAP50 of 0.91, and mAP50-95 of 0.739. This was achieved using an image size of 640, IOU threshold of 0.7, confidence threshold of 0.6, and training for 600 iterations with the Stochastic Gradient Descent optimizer, without augmentations, and employing the ONNX inference format. © 2024 IEEE.

关键词： Stochastic systems

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A mathematical approach to mitigate the impact of compression waves in shear wave elastography 12

A mathematical approach to mitigate the impact of compressio...

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Optical Elastography and Tissue Biomechanics XII 2025

作者： Asemani, Hamidreza Rolland, Jannick P. Parker, Kevin J. The Institute of Optics University of Rochester RochesterNY United States Department of Electrical and Computer Engineering University of Rochester RochesterNY United States Department of Biomedical Engineering University of Rochester RochesterNY United States

ISBN: (纸本)9781510683907

Shear wave elastography (SWE) has emerged as a valuable imaging technique across several modalities such as ultrasound, magnetic resonance imaging, and optical coherence tomography. Its capacity to assess tissue stiffness and identify lesions positions it as a promising clinical tool for diagnosing a wide range of diseases. The primary aim of SWE is to measure shear wave speed (SWS);however, unwanted compression waves and bulk tissue motion can complicate this process. Conventional methods, in many cases, face challenges in separating shear and compression waves, resulting in inaccurate SWS measurements. This study introduces a novel estimator, called integrated difference autocorrelation (IDA), designed to specifically estimate reverberant shear wave speed in the presence of compression waves and noise. Unlike conventional methods, the IDA estimator computes the velocity differences between adjacent particles, effectively mitigating the impact of long-wavelength compression waves and other wide-area movements like those induced by respiration. The effectiveness of the IDA estimator was assessed through several approaches: elastography simulation of a y-shaped cylinder in a soft background, magnetic resonance elastography (MRE) on a brain phantom with two lesions, ultrasound elastography on a breast phantom with a lesion, and ultrasound elastography in the human liver-kidney region. Our findings indicate that the IDA estimator provides accurate SWS estimates (within 19% of reference) even in the presence of strong compression waves that can cause earlier estimators to completely fail. Moreover, the IDA estimator demonstrates consistent performance across different modalities and excitation scenarios, underscoring its robustness and potential clinical applicability. © 2025 SPIE.

关键词： Shear waves

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Sequential Patch Analysis Framework for Lung Disease Classification 11th

Sequential Patch Analysis Framework for Lung Disease Classi...

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11th International Conference on Future Data and Security engineering, FDSE 2024

作者： Le, Kim-Ngoc T. Le, Duc-Tai Choo, Hyunseung Department of AI Systems Engineering Sungkyunkwan University Seoul Korea Republic of Department of Electrical and Computer Engineering Sungkyunkwan University Seoul Korea Republic of College of Computing and Informatics Sungkyunkwan University Seoul Korea Republic of

ISBN: (纸本)9789819604364

Deep neural network (DNN) models have shown promise in lung disease classification using spectrogram transformations of respiratory sounds. However, these models typically process entire images, which can be computationally expensive, and they require large datasets for effective training. With the largest available respiratory dataset, ICBHI, containing only 920 recordings, training a robust DNN becomes challenging. To address this issue, this paper introduces a simplified DNN framework that incorporates novel techniques such as patch splitting and transfer learning. Specifically, the proposed framework splits the spectrogram image into a sequence of fixed-size patches, effectively reducing computational demands. These patches are processed with the position embeddings by DNN encoders to capture acoustic characteristics, leveraging a pre-trained ImageNet model to make efficient use of the limited dataset. Evaluation experiments on the ICBHI dataset show that the proposed method improves the state-of-the-art 8-class classification accuracy by 1.91%. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Lung cancer

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3D-Printable and Robust All-in-One Polymer-Entangled Photocatalytic Microreactors for Visible-Light-Driven Hydrogen Evolution

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ACS Applied Energy Materials 2024年第2期7卷 657-664页

作者： Ting, Li-Yu Li, Bing-Heng Huang, Qian-Ci Chen, An-Rong Sun, Yu-En Chang, Chih-Li Lin, Wei-Cheng Elewa, Ahmed M. Lin, Zong-Hong Lin, Tzu-En Chou, Ho-Hsiu Department of Chemical Engineering National Tsing Hua University Hsinchu300044 Taiwan Institute of Biomedical Engineering Department of Electrical and Computer Engineering National Yang Ming Chiao Tung University Hsinchu300044 Taiwan Department of Material Science and Engineering National Tsing Hua University Hsinchu300044 Taiwan Department of Biomedical Engineering National Taiwan University Taiwan106319 Taiwan College of Semiconductor Research National Tsing Hua University Hsinchu300044 Taiwan Photonics Research Center National Tsing Hua University Hsinchu300044 Taiwan

Hydrogels show promise in preventing inorganic catalysis aggregation during hydrogen evolution. However, the incompatible intrinsic properties of inorganics and hydrogels can cause catalyst release during the reaction. One solution is incorporating polymer photocatalysts into hydrogels, but low photocatalytic efficiency due to anti-synergetic effects between polymers and hydrogels remains a challenge. Herein, we developed all-in-one photocatalytic microreactors (PMRs) with excellent stability and efficiency by strongly entangling polymers with hydrogels and designing heterogeneous hydrogels. This approach prevents catalyst loss while achieving a high hydrogen evolution efficiency, self-healability, and stretchability. Moreover, PMRs maintain their efficiency even after they undergo freeze-drying and rehydration. Remarkably, we demonstrate the construction of PMRs into three-dimensional (3D) structures via 3D-printing at room temperature without additional supporting material. In light of these advantages, we have demonstrated a strategy for rapidly manufacturing PMRs with high stability, reactivity, and 3D-printability, which has significant potential for practical applications. © 2024 American Chemical Society

关键词： Hydrogels

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Seafloor Imaging Maps by Incorporating Side Scan Sonar Technology on Hybrid Autonomous Underwater Glider 6

Seafloor Imaging Maps by Incorporating Side Scan Sonar Techn...

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6th International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2023

作者： Atmaja, Ardian Budi Kusuma Hidayat, Egi Muhammad Idris Riyanto Trilaksono, Bambang Siregar, Simon Habibullah, Natsir School of Electrical Engineering and Informatics Institut Teknologi Bandung Bandung Indonesia Institut Teknologi Bandung Telkom University Doctoral Program of Electrical Engineering Department Computer Engineering Faculty of Applied Science Indonesia

ISBN: (纸本)9798350358346

This research aims to construct a two-dimensional image to represent an underwater geometry map with a Side Scan Sonar (SSS) mounted on a Hybrid Autonomous Underwater Glider (HAUG). Building the underwater map has two stages of the process. The first stage is preprocessing which includes Time-varying gains (TVG), slant range correction, and ground range correction. The second is HAUG navigation, the movement of HAUG orientation to the angle and distance of SSS readings and plotting the geometry of the grid map. With these two stages, a two-dimensional grid map will be formed. Meanwhile, the 3D plot utilizes slant range and ground range correction to obtain the surface height of the bottom of the pool. From the experiments conducted to conduct mapping in the pool, two-dimensional and three-dimensional visual forms of the pool floor and pool walls were produced. The results of the estimated measurement of the width of the pool obtained 14.05 meters and the height of the pool 3.199 meters with an SSS beam angle of 58 degrees. © 2023 IEEE.

关键词： Geometry

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A Vision-Based Recognition and Navigation Method for Autonomous Underwater Robot Grasping

A Vision-Based Recognition and Navigation Method for Autonom...

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2024 IEEE International Conference on Robotics and Biomimetics, ROBIO 2024

作者： Luo, Yudong Xie, Feiyu Wang, Tong Zhao, Na Shen, Yantao Dalian Maritime University Department of Computer Science and Technology Liaoning Dalian116026 China University of Nevada Department of Electrical and Biomedical Engineering RenoNV89557 United States

ISBN: (纸本)9781665481090

The development of underwater robotic systems with autonomous grasping capabilities is challenging due to the complexity of the operation environment, limited sensing performance, and computation load. This paper proposes a fast recognition and navigation method for underwater robot grasping. In detail, we theoretically demonstrate the feasibility of underwater robots that can quickly identify and localize targets at a long distance through a monocular camera, thus navigating the robot to approach the target in real-time and then generate accurate grasping points at short-range through stereo-vision cameras to help the robot complete autonomous grasping. Experiment results show that our constructed system can recognize and determine the target's position within 0.03 seconds, then detect and generate an accurate grasping point within 1 second at a distance of 50 cm from the target with the error of 23 cm. Our research proves that underwater robots equipped with low-cost devices such as commercial stereo-vision cameras and edge computing devices can identify targets and generate accurate grasping points in real-time, promoting research in the field of autonomous underwater grasping. © 2024 IEEE.

关键词： Stereo vision

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Eye and People Counting Using Haar Cascade and NVIDIA Jetson Nano for Ad Analysis 1

Eye and People Counting Using Haar Cascade and NVIDIA Jetson...

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1st International Conference on Advanced engineering and Technologies, ICONNIC 2023

作者： Wicaksana, Cakra Adipura Hidayat, Wahyu Santoso, Muhammad Iman Alfanz, Rocky Fatkhurrokhman, Mohammad Yusfia Hafid, A. University of Sultan Ageng Tirtayasa Department of Informatics Cilegon Indonesia University of Sultan Ageng Tirtayasa Department of Electrical Engineering Cilegon Indonesia Vocational Education University of Sultan Ageng Tirtayasa Department of Electrical Engineering Serang Indonesia Sebelas Maret University Department of Informatics and Computer Engineering Education Surakarta Indonesia

ISBN: (纸本)9798350306484

Eye-detection technology is used to improve the effectiveness of advertisements. This research uses a mirrorless camera, the Harr Cascade method to detect eyes and faces, and the NVIDIA Jetson Nano as a microcontroller. The results show that the system can detect with high accuracy, even with differences in distance and face accuracy, even with differences in distance and the number of people looking at the camera. camera. This system can be used to calculate the number of effective ad readers. effective advertising readership. In the three cases tested, the system had an accuracy of 91 %,97%, and 90% for calculating the number of people viewing an advertisement, as well as an accuracy of 87% for face detection. © 2023 IEEE.

关键词： Cameras

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Underwater Autonomous Grasping Strategy with Constrained Visual Information

Underwater Autonomous Grasping Strategy with Constrained Vis...

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2024 IEEE International Conference on Robotics and Biomimetics, ROBIO 2024

作者： Wang, Tong Luo, Yudong Xie, Feiyu Zhao, Na Shen, Yantao Dalian Maritime University Department of Computer Science and Technology Liaoning Dalian116026 China University of Nevada Department of Electrical and Biomedical Engineering RenoNV89557 United States

ISBN: (纸本)9781665481090

When the robot arm grasps across media, continuously grasping and placing the objects inevitably causes water flow fluctuations, thus interfering with subsequent visual quality. This results in the inability to correctly feedback object information, ultimately leading to grasping failure. To tackle this problem, we propose a generalized grasping model based on constrained visual information (VC-Grasp). Specifically, we leverage RGB-D information combined with the physical logic of action primitives to achieve effective movements. During the operation, we thoroughly consider the relative position changes between objects, thereby attaining true zero-collision. Eventually, we predict the optimal action sequences for the upcoming period to complete the task. Additionally, we propose a novel sim2real framework, which significantly enhances the generalization capability of our model. Extensive experiments in physical environments demonstrate that our system outperforms other methods in terms of grasping success rate and time efficiency under constrained visual information conditions. © 2024 IEEE.

关键词： Robotic arms

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