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International Joint Conference on Neural Networks (IJCNN)

作者： Xiangnan Zhong Haibo He Department of Computer & Electrical Engineering and Computer Science Florida Atlantic University Boca Raton FL USA Department of Electrical Computer and Biomedical Engineering University of Rhode Island Kingston RI USA

ISBN: (数字)9781728169262

ISBN: (纸本)9781728169279

This paper develops an event-triggered multi-agent control method based on adaptive dynamic programming (ADP) techniques. Different from the traditional ADP-based multi-agent control with fixed sampling period, our method designs an adaptive controller only based on the efficiently reduced samples. The sampling instants are decided by an adaptive triggering condition to guarantee the stability of the event-triggered learning process. The theoretical analysis of the proposed method is also provided in this paper. It is proved that the designed event-triggered ADP controller can make all the agents synchronize to the leader's dynamics with reduced sampled data, and also reach Nash equilibrium at the same time. Therefore, the proposed method can save the computational resources in the learning process. Finally, the simulation results verify the theoretical analysis and also demonstrate the performance of the developed method.

关键词： Multi-agent systems Stability analysis Nash equilibrium Dynamic programming Synchronization Task analysis Nickel

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Combining multiple contrasts for improving machine learning-based classification of cervical cancers with a low-cost point-of-care Pocket colposcope

Combining multiple contrasts for improving machine learning-...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： Mercy N. Asiedu Erica Skerrett Guillermo Sapiro Nirmala Ramanujam Department of Biomedical Engineering and Department of Global Health Duke University Durham NC USA Department of Biomedical Engineering and Department of Electrical Engineering and Computer Science Duke University Durham NC USA

ISBN: (数字)9781728119908

ISBN: (纸本)9781728119915

We apply feature-extraction and machine learning methods to multiple sources of contrast (acetic acid, Lugol's iodine and green light) from the white Pocket Colposcope, a low-cost point of care colposcope for cervical cancer screening. We combine features from the sources of contrast and analyze diagnostic improvements with addition of each contrast. We find that overall AUC increases with additional contrast agents compared to using only one source.

关键词： Feature extraction Classification algorithms Image segmentation Machine learning Cervical cancer Image color analysis

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Hybridization of colloidal handlebodies with singular defects and topological solitons in chiral liquid crystals

arXiv

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arXiv 2025年

作者： Lee, Jun-Yong Kumari, Asha Yuan, Ye Tasinkevych, Mykola Smalyukh, Ivan I. International Institute for Sustainability with Knotted Chiral Meta Matter Hiroshima University 1-3-1 Kagamiyama Higashi-Hiroshima Hiroshima739-8526 Japan Department of Physics and Mathematics School of Science and Technology Nottingham Trent University Clifton Lane NottinghamNG11 8NS United Kingdom Department of Physics University of Colorado BoulderCO80309 United States Department of Electrical Computer and Energy Engineering Materials Science and Engineering Program and Soft Materials Research Center University of Colorado BoulderCO80309 United States Renewable and Sustainable Energy Institute National Renewable Energy Laboratory University of Colorado BoulderCO80309 United States

Topology can manifest itself in colloids when quantified by invariants like Euler characteristics of nonzero-genus colloidal surfaces, albeit spherical colloidal particles are most often studied, and colloidal particles with complex topology are rarely considered. On the other hand, singular defects and topological solitons often define the physical behavior of the molecular alignment director fields in liquid crystals. Interestingly, nematic liquid crystalline dispersions of colloidal particles allow for probing the interplay between topologies of surfaces and fields, but only a limited number of such cases have been explored so far. Here, we study the hybridization of topological solitons, singular defects, and topologically nontrivial colloidal particles with the genus of surfaces different from zero in a chiral nematic liquid crystal phase. Hybridization occurs when distortions separately induced by colloidal particles and LC solitons overlap, leading to energy minimization-driven redistribution of director field deformations and defects. As a result, hybrid director configurations emerge, combining topological features from both components. We uncover a host of director field configurations complying with topological theorems, which can be controlled by applying electric fields. Rotational and translational dynamics arise due to the nonreciprocal evolution of the director fields in response to alternating electric fields of different frequencies. These findings help define a platform for controlling topologically hyper-complex colloidal structures and dynamics with electrically reconfigurable singular defects and topological solitons induced by colloidal handlebodies. Copyright © 2025, The Authors. All rights reserved.

关键词： Topology

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Fabrication of a Translational Photoacoustic Needle Sensing Probe

SSRN

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SSRN 2022年

作者： Lin, Wei-Kuan Ni, Linyu Wang, Xueding Guo, Jay L. Xu, Guan Department of Electrical Engineering and Computer Sciences University of Michigan 1301 Beal Avenue Ann ArborMI United States Department of Biomedical Engineering University of Michigan 2200 Bonisteel Blvd Ann ArborMI United States Department of Radiology University of Michigan 1301 Catherine St Ann ArborMI United States Department of Ophthalmology and Visual Sciences University of Michigan 1000 Wall St Ann ArborMI United States

In our previous study, we demonstrated the feasibility of using an all-optical photoacoustic (PA) probe for interstitial measurement of tissue architectures. In this work, we fabricated a translational needle PA sensing probe that integrates a fiber optic diffuser and a fiber optic hydrophone into an 18G steel biopsy needle sheath. We upgraded the Fabry-Perot hydrophone from the previous planar structure to plano-concave structure to boost the sensitivity and the sensing angle. We also improved the needle sheath by laying a polymer layer and a highly reflective metal layer on the inner surface of the needle. Such design effectively diminishes the vibrational noise from the sheath to a negligible degree and increases the sensing volume. We also validated the probe for PA spectral analysis with phantoms containing microspheres. The correlations between the quantitative PA spectral parameters agree with our previous results. © 2022, The Authors. All rights reserved.

关键词： Spectrum analysis

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Quantifying the impact of scattering on the point spread function using a Modified Full Field Optical Coherence Tomography Setup

Quantifying the impact of scattering on the point spread fun...

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Clinical and Translational Biophotonics, Translational 2020

作者： Zilpelwar, Sharvari Postnov, Dmitry Chen, Anderson Ichun Cheng, Xiaojun Tian, Lei Devor, Anna Boas, David A. Department of Electrical and Computer Engineering Boston University MA02215 United States Neurophotonics Center Boston University MA02215 United States Department of Biomedical Engineering Boston University MA02215 United States Department of Neurosciences and Radiology University of California San DiegoCA92093 United States

We present the preliminary results of our depth-resolved PSF measurement in static scattering phantoms. This forms a basis for correcting the degradation of the point spread function by optical scattering. © OSA ... 详细信息

ISBN: (纸本)9781943580743

关键词： Optical transfer function

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Vision Transformer for Parkinson’s Disease Classification using Multilingual Sustained Vowel Recordings

Vision Transformer for Parkinson’s Disease Classification u...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： Daria Hemmerling Marek Wodzinski Juan Rafael Orozco-Arroyave David Sztaho Mateusz Daniol Pawel Jemiolo Magdalena Wojcik-Pedziwiatr Daria Hemmerling Marek Wodzinski Mateusz Daniol and Pawel Jemiolo are With the AGH University of Science and Technology Faculty of Electrical Engineering Automatics Computer Science and Biomedical Engineering Krakow Poland Information Systems Institute University of Applied Sciences Western Switzerland (HES-SO Valais) Sierre Switzerland Universidad de Antioquia Medellin Colombia and With the Pattern Recognition Lab at the University of Erlangen Erlangen Germany Department of Telecommunications and Media Informatics Budapest University of Technology and Economics Hungary Department of Neurology Andrzej Frycz Modrzewski Krakow University Krakow Poland

Parkinson’s disease (PD) is the 2 nd most prevalent neurodegenerative disease in the world. Thus, the early detection of PD has recently been the subject of several scientific and commercial studies. In this paper, we propose a pipeline using Vision Transformer applied to mel-spectrograms for PD classification using multilingual sustained vowel recordings. Furthermore, our proposed transformed-based model shows a great potential to use voice as a single modality biomarker for automatic PD detection without language restrictions, a wide range of vowels, with an F1-score equal to 0.78. The results of our study fall within the range of the estimated prevalence of voice and speech disorders in Parkinson’s disease, which ranges from 70-90%. Our study demonstrates a high potential for adaptation in clinical decision-making, allowing for increasingly systematic and fast diagnosis of PD with the potential for use in *** relevance— There is an urgent need to develop non invasive biomarker of Parkinson’s disease effective enough to detect the onset of the disease to introduce neuroprotective treatment at the earliest stage possible and to follow the results of that intervention. Voice disorders in PD are very frequent and are expected to be utilized as an early diagnostic biomarker. The voice analysis using deep neural networks open new opportunities to assess neurodegenerative diseases’ symptoms, for fast diagnosis-making, to guide treatment initiation, and risk prediction. The detection accuracy for voice biomarkers according to our method reached close to the maximum achievable value.

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Fabrication of a Translational Photoacoustic Needle Sensing Probe

SSRN

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SSRN 2022年

关键词： Spectrum analysis

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SVoRT: Iterative Transformer for Slice-to-Volume Registration in Fetal Brain MRI

arXiv

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arXiv 2022年

作者： Xu, Junshen Moyer, Daniel Grant, P. Ellen Golland, Polina Iglesias, Juan Eugenio Adalsteinsson, Elfar Department of Electrical Engineering and Computer Science MIT CambridgeMA United States Computer Science and Artificial Intelligence Laboratory MIT CambridgeMA United States Fetal-Neonatal Neuroimaging and Developmental Science Center Boston Children’s Hospital BostonMA United States Harvard Medical School BostonMA United States Centre for Medical Image Computing Department of Medical Physics and Biomedical Engineering University College London United Kingdom Athinoula A. Martinos Center for Biomedical Imaging Massachusetts General Hospital Harvard Medical School Boston United States Institute for Medical Engineering and Science MIT CambridgeMA United States

Volumetric reconstruction of fetal brains from multiple stacks of MR slices, acquired in the presence of almost unpredictable and often severe subject motion, is a challenging task that is highly sensitive to the initialization of slice-to-volume transformations. We propose a novel slice-to-volume registration method using Transformers trained on synthetically transformed data, which model multiple stacks of MR slices as a sequence. With the attention mechanism, our model automatically detects the relevance between slices and predicts the transformation of one slice using information from other slices. We also estimate the underlying 3D volume to assist slice-to-volume registration and update the volume and transformations alternately to improve accuracy. Results on synthetic data show that our method achieves lower registration error and better reconstruction quality compared with existing state-of-the-art methods. Experiments with real-world MRI data are also performed to demonstrate the ability of the proposed model to improve the quality of 3D reconstruction under severe fetal motion. Copyright © 2022, The Authors. All rights reserved.

关键词： Brain

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Comparing of transfer process data in PLC and mcu based on IoT 5th

Comparing of transfer process data in PLC and mcu based on I...

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5th International Conference on Advanced engineering Theory and Applications, AETA 2018

作者： Gavlas, Antonin Koziorek, Jiri Rakay, Robert Department of Cybernetics and Biomedical Engineering Faculty of Electrical Engineering and Computer Science VSB-Technical University of Ostrava 17. listopadu 15 Ostrava70833 Czech Republic Department of Automation Control and Human Machine Interactions Faculty of Mechanical Engineering Technical University of Košice Park Komenského 8 Košice042 00 Slovakia

ISBN: (纸本)9783030149062

An article is based on comparing of data processing within PLC and MCU with using Cloud platforms. The last advances in computation and communication technologies are taking shape in the form of IoT (Internet of Things), M2M (Machine to Machine) technology, Industry 4.0 and Cyber Physical Systems. Internet of Things connects an enormous number of devices. Devices within IoT need small number of sensors and control data, but with numerous messages. Today Cloud services work with the volume of these data and support large scale IoT systems. In this paper we would like to represent a comparison of solutions Industrial and Commercial IoT. The proposed systems use one of the newest communication protocols MQTT. © Springer Nature Switzerland AG 2020.

关键词： Internet of things

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StyleKQC: A Style-Variant Paraphrase Corpus for Korean Questions and Commands

arXiv

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arXiv 2021年

作者： Cho, Won Ik Moon, Sangwhan Kim, Jong In Kim, Seok Min Kim, Nam Soo Department of Electrical and Computer Engineering INMC Seoul National University Korea Republic of Department of Computer Science Tokyo Institute of Technology Japan Google LLC Interdisciplinary Program in Cognitive Science Seoul National University Korea Republic of

Paraphrasing is often performed with less concern for controlled style conversion. Especially for questions and commands, style-variant paraphrasing can be crucial in tone and manner, which also matters with industrial applications such as dialog systems. In this paper, we attack this issue with a corpus construction scheme that simultaneously considers the core content and style of directives, namely intent and formality, for the Korean language. Utilizing manually generated natural language queries on six daily topics, we expand the corpus to formal and informal sentences by human rewriting and transferring. We verify the validity and industrial applicability of our approach by checking the adequate classification and inference performance that fit with conventional fine-tuning approaches, at the same time proposing a supervised formality transfer task. © 2021, CC BY-SA.

关键词： Natural language processing systems

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