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16th Pacific Rim Conference on Lasers and Electro-Optics, CLEO-PR 2024

作者： Park, Nu-Ri Kim, Min-Joong Lee, Jongsu Seo, Minah Ryu, Yong-Sang Kim, Myung-Ki KU-KIST Graduate School of Converging Science and Technology Korea University Seoul02841 Korea Republic of Korea Institute of Science and Technology Sensor System Research Center Seoul02792 Korea Republic of Northwestern University Department of Electrical Engineering and Computer Science EvanstonIL60208 United States School of Biomedical Engineering Korea University Seoul02481 Korea Republic of Interdisciplinary Program in Precision Public Health Korea University Seoul02481 Korea Republic of

Our research introduces a novel method for safe hydrogen detection. We've developed an advanced nano-candle sensor, combining Pd with nano-candles, enabling accurate detection of low-concentration hydrogen ( ©... 详细信息

ISBN: (纸本)9798350372076

关键词： Nanoclay

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A Parallel Ray Tracing Architecture Suitable for Application-Specific Hardware and GPGPU Implementations

A Parallel Ray Tracing Architecture Suitable for Application...

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Euromicro Symposium on Digital System Design

作者： Alexandre S. Nery Nadia Nedjah Felipa M.G. Franca Lech Jozwiak LAM-Computer Architecture and Microelectronics Laboratory Systems Engineering and Computer Science Program COPPE Universidade Federal do Rio de Janeiro Brazil Department of Electrical Engineering-Electronic Systems Eindhoven University of Technology Netherlands Universidade do Estado do Rio de Janeiro Rio de Janeiro RJ BR

The Ray Tracing rendering algorithm can produce high-fidelity images of 3-D scenes, including shadow effects, as well as reflections and transparencies. This is currently done at a processing speed of at most 30 frames per second. Therefore, actual implementations of the algorithm are not yet suitable for interactive real-time rendering, which is required in games and virtual reality based applications. Fortunately, the algorithm allows for massive parallelization of its computations. In this paper, we present a parallel architecture for ray tracing based on a uniform spatial subdivision of the scene and exploiting an embedded computation of ray-triangle intersections. This approach allows for a significant acceleration of intersection computations, as well as, a reduction of the total number of the required intersections checks. Furthermore, it allows for these checks to be performed in parallel and in advance for each ray. In this paper we discuss and analyze an ASIP-based implementation using FPGAs and a GPGPU-based parallel implementation of the proposed architecture. The performance of both implementations are reported and compared.

关键词： Ray tracing Graphics processing unit Instruction sets computer architecture Registers Image color analysis Hardware

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Generating 3D brain tumor regions in MRI using vector-quantization Generative Adversarial Networks

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computers in Biology and Medicine 2025年 185卷 109502-109502页

作者： Zhou, Meng Wagner, Matthias W. Tabori, Uri Hawkins, Cynthia Ertl-Wagner, Birgit B. Khalvati, Farzad Department of Computer Science University of Toronto 40 St George St. TorontoONM5S 2E4 Canada Neurosciences & Mental Health Research Program The Hospital for Sick Children 686 Bay St. TorontoONM5G 0A4 Canada Department of Diagnostic and Interventional Radiology The Hospital for Sick Children 170 Elizabeth St. TorontoONM5G 1H3 Canada Division of Neuroradiology Neurooncology The Hospital for Sick Children 170 Elizabeth St. TorontoONM5G 1H3 Canada Paediatric Laboratory Medicine Division of Pathology The Hospital for Sick Children 170 Elizabeth St. TorontoONM5G 1H3 Canada Institute of Medical Science University of Toronto 1 King's College Circle TorontoONM5S 1A8 Canada Department of Medical Imaging University of Toronto 263 McCaul St. TorontoONM5T 1W7 Canada Department of Mechanical and Industrial Engineering University of Toronto 5 King's College Road TorontoONM5S 3G8 Canada Institute of Diagnostic and Interventional Neuroradiology University Hospital Augsburg Stenglinstraße 2 Augsburg86156 Germany

Medical image analysis has significantly benefited from advancements in deep learning, particularly in the application of Generative Adversarial Networks (GANs) for generating realistic and diverse images that can augment training datasets. The common GAN-based approach is to generate entire image volumes, rather than the region of interest (ROI). Research on deep learning-based brain tumor classification using MRI has shown that it is easier to classify the tumor ROIs compared to the entire image volumes. In this work, we present a novel framework that uses vector-quantization GAN and a transformer incorporating masked token modeling to generate high-resolution and diverse 3D brain tumor ROIs that can be used as additional data for tumor ROI classification. We apply our method to two imbalanced datasets where we augment the minority class: (1) low-grade glioma (LGG) ROIs from the Multimodal Brain Tumor Segmentation Challenge (BraTS) 2019 dataset;(2) BRAF V600E Mutation genetic marker tumor ROIs from the internal pediatric LGG (pLGG) dataset. We show that the proposed method outperforms various baseline models qualitatively and quantitatively. The generated data was used to balance the data to classify brain tumor types. Our approach demonstrates superior performance, surpassing baseline models by 6.4% in the area under the ROC curve (AUC) on the BraTS 2019 dataset and 4.3% in the AUC on the internal pLGG dataset. The results indicate the generated tumor ROIs can effectively address the imbalanced data problem. Our proposed method has the potential to facilitate an accurate diagnosis of rare brain tumors using MRI scans. © 2024

关键词： Generative adversarial networks

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Preprocessing Algorithm for Seismic Signals Monitored by Fiber Optic Distributed Sensors

Preprocessing Algorithm for Seismic Signals Monitored by Fib...

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SBMO/IEEE MTT-S International Conference on Microwave and Optoelectronics (IMOC)

作者： Erik Tarlles Silveira Beatriz Brusamarello Uilian J. Dreyer Guilherme H. Weber Danilo F. Gomes Sidnei H. C. Teixeira Gilson A. Brunetto Luis F. P. Melegari Cicero Martelli Jean Carlos Cardozo da Silva Graduate Program in Electrical and Computer Engineering (CPGEI-UTFPR) Curitiba Parana Brazil Graduate Program in Energy Systems (PPGSE-UTFPR) Curitiba Parana Brazil Civil Engineering Studies Center (CESEC-UFPR) Curitiba Parana Brazil CPFL Energia Brasil Universidade Tecnológica Federal do Paraná Curitiba Paraná Brazil

Fiber optic-based sensors have experimented with significant technological advances in the last two decades. Distributed acoustic sensors represent their most recent iteration. This sensing technology become all the cable length into a sensor, a favorable condition for seismic studies. Data preprocessing is a crucial step in this study, in which the seismic signals captured by optical interrogators must be converted to the apparent velocity of particles that sensitized the fiber. Amongst the main conversion algorithms, the ones based on Fourier Transforms are more adopted at large-scale surveys. This paper presents an algorithm implementation for this conversion, based on the 2D Fourier Transform, in a small-scale laboratory investigation. The results are favorable and show that it is a possible use. It brings more definition to individualizing first break time arrivals, equalizing signal amplitude, and aligning oscillation peaks, essential parameters for applying reflections and refraction methods in seismic studies.

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Implementation of Fuzzy-based Model for Prediction of Thalassemia Diseases 3

Implementation of Fuzzy-based Model for Prediction of Thalas...

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3rd International Conference on Applied Sciences Mathematics and Informatics, ICASMI 2020

作者： Susanto, E.R. Syarif, A. Muludi, K. Perdani, R.R.W. Wantoro, A. Doctoral Program of Mathematics and Science Faculty Lampung University Jl. Sumantri Brojonegoro No 1 Bandar Lampung Indonesia Faculty of Engineering and Computer Science Universitas Teknokrat Indonesia Jl. ZA. Pagaralam No.9-11 Bandar Lampung Indonesia Department of Computer Science Faculty of Mathematics and Science University of Lampung Jl. Sumantri Brojonegoro No 1 Bandar Lampung Indonesia Faculty of Medical Science Lampung University Jl. Sumantri Brojonegoro No 1 Bandar Lampung Indonesia

Thalassemia is known as one of the blood disorder diseases that is inherited by parents. There are several types of Thalassemia, namely as Thalassemia major, minor, and intermedia. Among them, Thalassemia major is the most dangerous and needs more attention. Generally, it can be detected since the child is one year old. Late detection of this disease can have adverse consequences and various complications. This study aims to develop a new model for the prediction of thalassemia for children. The model adopts a fuzzy-based rule. The novelty in this article is that our model has 4 outputs, namely thalassemia major, intermedia, minor and not thalassemia. In the previous article it only had 3 outputs. In this study, we intend to implement a model that we developed using a fuzzy-based approach to classify thalassemia diseases based on CBC data. This article describes how to build a model and implement it in software. We compare the test results with the opinion of pediatricians regarding thalassemia. The final results of testing 4 CBC data show that our proposed model has successfully identified the type of thalassemia. © Published under licence by IOP Publishing Ltd.

关键词： Blood

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A Comparison of Three Types of computer-Based Procedures: An Experiment Using the Rancor Microworld Simulator 67th

A Comparison of Three Types of Computer-Based Procedures: An...

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67th International Annual Meeting of the Human Factors and Ergonomics Society, HFES 2023

作者： Hall, Anna Boring, Ronald L. Ulrich, Thomas A. Lew, Roger Velazquez, Michelle Xing, Jinding Whiting, Tim Makrakis, Georgios Michail Human Factors and Reliability Department Idaho National Laboratory Idaho FallsID United States Virtual Technology and Design Program University of Idaho MoscowID United States Psychology Department Idaho State University Pocatello Idaho United States Civil and Environmental Engineering Carnegie Mellon University PittsburghPA United States Computer Science Department Brigham Young University ProvoUT United States Computer Science Department University of Idaho Idaho FallsID United States

The nuclear power industry has historically used paper-based procedures, but a shift towards computer-based procedures (CBPs) has the potential to reduce human errors, alleviate mental workload, and improve work performance. Twentyseven participants were randomly assigned to one of three CBP types using the Rancor Microworld Simulator, and each performed two different types of operational scenarios (startup and loss of feedwater). The three CBP types varied in levels of digitalization. It was hypothesized that there would be less favorable impressions of the most basic procedures, and that these would demonstrate lower usability than types with greater digitalization. Overall, our predictions were partially supported with some interesting caveats, specifically with some performance benefits for CBPs that provided indicators but not embedded controls. We discuss our findings in terms of optimal levels of digitalization/automation within nuclear operations and suggest pathways for future directions. © 2023 Human Factors and Ergonomics Society.

关键词： Human-system integration Interface evaluation System design and analysis Usability

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Learning to Learn engineering - A Learning Sciences Approach to engineering Curriculum Design and Implementation 48

Learning to Learn Engineering - A Learning Sciences Approach...

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48th Frontiers in Education Conference, FIE 2018

作者： Utschig, Tris Scheller, William L. Morgan, Jim Litynski, Daniel M Leasure, David El-Sayed, Mohamed Cox, Virgil Chaudhury, S. Raj Beyerlein, Steven Apple, Daniel Center for Excellence in Teaching and Learning Kennesaw State University KennesawGA United States College of Engineering and Business Gannon University EriePA United States CSU Engineering Charles Sturt University BathurstNSW Australia Electrical Computer Engineering Western Michigan University KalamazooMI United States Research Program Academy of Process Educators Process *** United States School of Engineering Technology Eastern Michigan University YpsilantiMI United States Engineering and Industrial Technologies Division Gaston College DallasNC United States Innovation in Learning Center University of South Alabama AL United States Mechanical Engineering University of Idaho MoscowID United States President Pacific Crest HamptonNH United States

ISBN: (纸本)9781538611739

This is an Innovative Practice Full Paper. engineering education research has often tended to focus on subject matter and effective pedagogy. Lacking is research illuminating the learning process itself and development of learning skills in engineering students. This paper presents a framework for engineering learner development that leverages processes allowing learners to learn more effectively, i.e., learning to learn engineering. Components include: engineering knowledge forms and levels;relationships between engineering knowledge and performance;risk factors;learner characteristics that produce working expertise;cultural shifts supporting learner development, and a model for the engineering learning process. Two case studies show how these components guide curricular implementation of learning to learn engineering. © 2018 IEEE.

关键词： Curricula

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Characterization and quantification of gait deficits within gait phases using fuzzy-granular computing

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Journal of Biomedical Science and engineering 2012年第12期5卷 720-728页

作者： Melaku A. Bogale Huiying Yu Thompson Sarkodie-Gyan Amr Abdelgawad Texas Tech University Health Science Center El Paso USA University of Texas at El Paso Computational Science Program El Paso USA University of Texas at El Paso Department of Electrical and Computer Engineering El Paso USA

People with neurological disorders like Cerebral Palsy (CP) and Multiple Sclerosis (MS) suffer associated functional gait problems. The symptoms and sign of these gait deficits are different between subjects and even within a subject at different stage of the disease. Identifying these gait related abnormalities helps in the treatment planning and rehabilitation process. The current gait assessment process does not provide very specific information within the seven gait phases. The objective of this study is to investigate the possible application of granular computing to quantify gait parameters within the seven gait phases. In this process we applied fuzzy-granular computing on the vertical ground reaction force (VGRF) and surface electromyography (sEMG) data to obtain respective characteristic values for each gait phase. A fuzzy similarity (FS) measure is used to compare patient values with age and sex matched control able-bodied group. We specifically applied and tested this approach on 10 patients (4 Cerebral Palsy and 6 Multiple Sclerosis) to identify possible gait abnormalities. Different FS values for VGRF for right and left leg is observed. The VGRF analysis shows smaller FS values during the swing phase in CP and MS subjects that are evidence of associated stability problem. Similarly, FS values for muscle activates of the four-selected muscle display a broad range of values due to difference between subjects. Degraded FS values for different muscles at different stage of the gait cycle are reported. Smaller FS values are sign of abnormal activity of the respective muscles. This approach provides individual centered and very specific information within the gait phases that can be employed for diagnosis, treatment and rehabilitation process.

关键词： Fuzzy-Granular Algorithm Gait Phases Fuzzy Similarity Cerebral Palsy Multiple Sclerosis

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Comparison of known food weights with image-based portion-size automated estimation and adolescents' self-reported portion size

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Journal of Diabetes Science and Technology 2012年第2期6卷 428-434页

作者： Lee, Christina D. Chae, Junghoon Schap, TusaRebecca E. Kerr, Deborah A. Delp, Edward J. Ebert, David S. Boushey, Carol J. College of Liberal Arts Purdue University West Lafayette IN United States College of Electrical and Computer Engineering Purdue University West Lafayette IN United States Department of Nutrition Science Purdue University West Lafayette IN United States School of Public Health Curtin University Perth WA Australia Epidemiology Program University of Hawaii Cancer Center Honolulu HI 96813 1236 Lauhala Street United States

Background: Diet is a critical element of diabetes self-management. An emerging area of research is the use of images for dietary records using mobile telephones with embedded cameras. These tools are being designed to reduce user burden and to improve accuracy of portion-size estimation through automation. The objectives of this study were to (1) assess the error of automatically determined portion weights compared to known portion weights of foods and (2) to compare the error between automation and human. Methods: Adolescents (n = 15) captured images of their eating occasions over a 24 h period. All foods and beverages served were weighed. Adolescents self-reported portion sizes for one meal. Image analysis was used to estimate portion weights. Data analysis compared known weights, automated weights, and self-reported portions. Results: For the 19 foods, the mean ratio of automated weight estimate to known weight ranged from 0.89 to 4.61, and 9 foods were within 0.80 to 1.20. The largest error was for lettuce and the most accurate was strawberry jam. The children were fairly accurate with portion estimates for two foods (sausage links, toast) using one type of estimation aid and two foods (sausage links, scrambled eggs) using another aid. The automated method was fairly accurate for two foods (sausage links, jam);however, the 95% confidence intervals for the automated estimates were consistently narrower than human estimates. Conclusions: The ability of humans to estimate portion sizes of foods remains a problem and a perceived burden. Errors in automated portion-size estimation can be systematically addressed while minimizing the burden on people. Future applications that take over the burden of these processes may translate to better diabetes self-management. © Diabetes Technology Society.

关键词： Adolescents Dietary assessment Mobile telephones Portion size Technology

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Consistency of Surface Electromyography Assessment at Lower Limb Selected Muscles During Vertical Countermovement

Consistency of Surface Electromyography Assessment at Lower ...

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

作者： Carlos Rodrigues Miguel Correia Joao M. C. S. Abrantes Jurandir Nadal Marco A. Benedetti Rodrigues Centre for Biomedical Engineering Research INESC TEC Porto Portugal INESC TEC FEUP Department of Electrical and Computer Engineering University of Porto Porto Portugal MovLab ULHT PEB UFRJ PPGEE UFPE Graduate Program in Electrical Engineering Federal University of Pernambuco Recife Brazil

Given the difficulty of invasive methods to assess muscle action during natural human movement, surface electromyography (sEMG) has been increasingly used to capture muscle activity in relation to kinesiological analysis of specific tasks. Isolated isometric, concentric and eccentric forms of muscle action have been receiving the most attention for research purposes. Nevertheless natural muscle action frequently involves the use of a preceding eccentric muscle action as a form of potentiation of immediate muscle concentric action, in what is designated as muscle stretch-shortening cycle (SSC). The most frequently applied protocols for the evaluation of SSC on vertical jumps are by virtue of their reproducibility and control of experimental conditions, squat jump (SJ) without countermovement (CM), countermovement jump (CMJ) with long CM and drop jump (DJ) with short CM. The methods used to extract information and relationship of the captured signals also present a high diversity, with the question about the consistency of the methods and obtained results. The objective of this study is to evaluate the consistency of the analysis and results by applying different EMGs signal analysis techniques related to strategic muscle groups of the lower limbs at different countermovement evaluated in vertical jumps. Raw sEMG signals of 5 lower limb muscles of 6 subjects during SJ, CMJ and DJ were rectified, filtered and obtained their envelope, and then correlated (CR) for detection of synergistic, agonist and antagonist activity, applied principal component analysis (PCA) for the detection of uncorrelated components explaining maximum variability and normalized cross-correlation (CCRN) for detection of maximum correlations and time lag. CR of EMG envelopes presented higher coactivities (CoA) in DJ relative to SJ and these CoA superior to CMJ with greater synergy in DJ relative to SJ and CMJ that present several loop cycles corresponding to time lag of activity. CCRN of the EMG e

关键词： Muscles Correlation Electromyography Principal component analysis Eigenvalues and eigenfunctions Electronic mail Radio frequency

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