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IEEE International Conference on Robotics and Automation (ICRA)

作者： Lasitha Wijayarathne Frank L. Hammond Woodruff School of Mechanical Engineering and the Coulter Department of Biomedical Engineering Georgia Institute of Technology

ISBN: (数字)9781728173955

ISBN: (纸本)9781728173962

Although autonomous control of robotic manipulators has been studied for several decades, they are not commonly used in safety-critical applications due to lack of safety and performance guarantees - many of them concerning the modulation of interaction forces. This paper presents a mechanical probing strategy for estimating the environmental impedance parameters of compliant environments, independent a manipulator's controller design, and configuration. The parameter estimates are used in a position-based adaptive force controller to enable control of interaction forces in compliant, stationary, and non-stationary environments. This approach is targeted for applications where the workspace is constrained and non-stationary, and where force control is critical to task success. These applications include surgical tasks involving manipulation of compliant, delicate, moving tissues. Results show fast parameter estimation and successful force modulation that compensates for motion.

关键词： Force Impedance Force control Probes Surface impedance Manipulators

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Development of electrochemical glutamate biosensor: A review

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AIP Conference Proceedings 2024年第1期3080卷

作者： Nurul Dwi Syafitri Atya Saniah Nurul Intan Yudan Whulanza Siti Fauziyah Rahman Department of Electrical Engineering Faculty of Engineering Universitas Indonesia Kampus UI Depok West Java 16424 Indonesia Research Center for Biomedical Engineering Faculty of Engineering Universitas Indonesia Kampus UI Depok West Java 16424 Indonesia Department of Mechanical Engineering Faculty of Engineering Universitas Indonesia Kampus UI Depok West Java 16424 Indonesia

One neurotransmitter, glutamate, is crucial for the development and maintenance of synapses as well as for the processes of consciousness, memory, and learning. Abnormal levels of glutamate in the body can lead to various risks of neurological diseases. The existing tools for detecting glutamate levels have several drawbacks. They are time-consuming and expensive. Besides that, less research or development has been done on glutamate biosensors than on other types of biosensors. In this review, the development of electrochemical glutamate biosensors was discussed. A review of the analyte, enzymes used, immobilization techniques, materials used, and analysis findings regarding linear range, detection limit, and sensitivity has been performed in order to develop a glutamate biosensor. The non-enzymatic electrochemical glutamate sensor can continue to be developed for promising enzyme-free glutamate biosensors.

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Bioethanol Production from Microalgae Biomass at High Solid Loadings

SSRN

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SSRN 2022年

作者： Condor, Billriz E. de Luna, Mark Daniel G. Chang, Yu-Han Chen, Jih-Heng Leong, Yoong Kit Chen, Po-Ting Chen, Chun-Yen Lee, Duu-Jong Chang, Jo-Shu Energy Engineering Program National Graduate School of Engineering University of the Philippines Diliman Quezon City1101 Philippines Department of Chemical Engineering College of Engineering University of the Philippines Diliman Quezon City 1101 Philippines Department of Chemical Engineering National Cheng Kung University Tainan701 Taiwan Research Center for Smart Sustainable Circular Economy Tunghai University Taichung Taiwan Department of Chemical and Materials Engineering Tunghai University Taichung Taiwan Department of Biotechnology and Food Technology Southern Taiwan University of Science and Technology Tainan71005 Taiwan University Center for Bioscience and Biotechnology National Cheng Kung University Tainan701 Taiwan Department of Mechanical Engineering City University of Hong Kong Kowloon Tang Hong Kong Department of Chemical Engineering and Materials Science Yuan Ze University Chung-Li32003 Taiwan

Industrial adoption of microalgae biofuel technology has always been hindered by its economic viability. To increase the feasibility of bioethanol production from microalgae, fermentation was applied to Chlorella vulgaris FSP-E biomass at high-solid-loading conditions. First, Chlorella vulgaris FSP-E was cultivated to produce microalgae biomass with high carbohydrate content. Next, different ethanol-producing microorganisms were screened. Saccharomyces cerevisiae FAY-1 showed no inhibition when fermenting high initial glucose concentrations and was selected for the fermentation experiments at high solids loading. Optimization of acid hydrolysis at high biomass loading was also performed. The fermentation of microalgal biomass hydrolysate produced a final ethanol concentration and yield higher than most reported literature using microalgae feedstock. In addition, the kinetics of bioethanol fermentation of microalgae hydrolysate under high solid loading were evaluated. These results show the potential of fermenting microalgae biomass at high solids loading in improving the viability of microalgae bioethanol production. © 2022, The Authors. All rights reserved.

关键词： Microalgae

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Factors for design of performance measurement systems for not-for-profit organizations

Factors for design of performance measurement systems for no...

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2016 Industrial and Systems engineering Research Conference, ISERC 2016

作者： Moura, Louisi Francis de Lima, Edson Pinheiro Deschamps, Fernando van Aken, Eileen Gouvea da Costa, Sergio E. Industrial and Systems Engineering Graduate Program Pontifical Catholic University of Parana Curitiba Brazil Federal University of Technology - Parana Curitiba Brazil Department of Mechanical Engineering Federal University of Parana Curitiba Brazil Grado Department of Industrial and Systems Engineering Virginia Tech Blacksburg United States

The scope of this research is delimited by the study of not-for-profit organizations performance through operations management lens. According to a systematic literature review, the performance measurement frameworks applied to not-for-profit organizations are adaptations of models developed for for-profit companies. However, the specific characteristics related to participatory governance, responsibility to declare their tangible and intangible results, and accountability of different revenue sources that combine donations, governmental aids, volunteering or public financing are usually not properly considered. In this context, this paper intends to identify factors that intervene in not-for-profit organizations' performance measurement systems, and to organize them in a conceptual framework that could assist not-for-profit organizations to better design their performance measurement systems. The paper also analyzes how enterprise engineering design principles can be applied in this context, relating the intervening factors to enterprise engineering guidelines. © 2016 Proceedings of the 2016 Industrial and Systems engineering Research Conference, ISERC 2016. All rights reserved.

关键词： Industrial research

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GIS-based methodology on techno-economic potential assessment of sugarcane residues in Medellin, Cebu, Philippines 40

GIS-based methodology on techno-economic potential assessmen...

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40th Asian Conference on Remote Sensing: Progress of Remote Sensing Technology for Smart Future, ACRS 2019

作者： Galang, Wenyville Tabañag, Ian Dominic Loretero, Michael Engineering Graduate Program School of Engineering University of San Carlos Cebu City6000 Philippines College of Engineering and Computer Studies Holy Name University Tagbilaran City6300 Philippines Department of Chemical Engineering University of San Carlos Cebu City6000 Philippines Department of Mechanical and Manufacturing Engineering University of San Carlos Cebu City6000 Philippines

The act of burning traditional biomass results in indoor air pollution, which has negative effects on health such as respiratory, pulmonary, and cardiovascular diseases. The practice also contributes to ambient air pollution and climate change through the emission of carbon dioxide (CO2) and non-CO2 pollutants formed by the incomplete combustion of biomass. To help reduce air pollution coupled with its effect on climate change specifically the agricultural residues left on fields and burned, a Geographic Information System (GIS) supported assessment was developed to determine the techno-economic potentials of utilizing agricultural residues in Medellin, Cebu. The methodology was based on GIS analysis of agricultural, economic and climatic data employed in GIS spatial analysis platform. Data about land use, transportation facilities, urban cartography, regional territorial planning, terrain digital model, and climatic types have been stored in the GIS to define potential areas for gathering the residues coming from sugarcanes and to assess available for energy cultivation. The sugarcane is an abundant agricultural crop in the locality and its residue is the major feedstock available for bioenergy. The results reveal a meaningful technical and economic potential concentration in the locality feasible for biomass power plant for electricity generation. The assessment has shown a strong competitiveness of sugarcane residues for bioenergy when the collection system is implemented in an efficient way. An outcome of the study was to show the opportunities originating from issue of addressing energy security by utilizing indigenous energy resources. © 2020 40th Asian Conference on Remote Sensing, ACRS 2019: "Progress of Remote Sensing Technology for Smart Future". All rights reserved.

关键词： Geographic information systems

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A review of fluid-structure interaction: blood flow in arteries

Biomedical Engineering Advances

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biomedical engineering Advances 2025年 9卷

作者： Zubeir Allum Saib Farid Abed Mergen H. Ghayesh Marco Amabili Biomedical Engineering Graduate Program American University of Sharjah Sharjah United Arab Emirates Department of Bioengineering New York University Abu Dhabi Abu Dhabi United Arab Emirates Department of Civil Engineering American University of Sharjah Sharjah United Arab Emirates School of Electrical and Mechanical Engineering University of Adelaide South Australia Australia School of Engineering Westlake University Hangzhou Zhejiang province China

Over the past decade, Fluid-Structure Interaction studies related to blood vessels have been an active area of research, as they adequately capture the multiphysics of blood flow within the circulatory system. Despite the growing interest, only few state-of-the-art reviews have been published in the literature, each focusing individually on the coronary artery, carotid artery, aorta, heart valves and peripheral arteries. This systematic review assesses the current research and implications of Fluid-Structure Interaction implementation strategies in relation to human arteries. It is meant to comprehensively amalgamate research studies on an array of arteries coupled with cardiovascular complications such as atherosclerosis, plaque calcification, aneurysms, aortic dissections and valve dysfunction. It additionally covers computational finite element and finite volume solver demands, coupling schemes, inlet and outlet boundary conditions specifications, Newtonian and non-Newtonian blood rheological properties, laminar and turbulent flow types, as well as the modelling of the vessel wall’s hyperelastic and viscoelastic mechanical behavior. The research information is retrieved from the last ten years and summarized in a tabulated format, to help researchers in easily extracting useful information for future investigations and reviews.

关键词： Fluid-structure interaction Computational fluid dynamics Finite element analysis Blood flow Hemodynamics Biomechanics Atherosclerosis Aneurysm Calcification Artery Plaque Valve

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Deep Learning-based Integrated System for Intraoperative Blood Loss Quantification in Surgical Sponges

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IEEE Journal of biomedical and Health Informatics 2024年 PP卷 PP页

作者： Nguyen, Dang Le, Minh Huu Nhat Huynh, Phat K. Le, Trung Q. Charles-Okezie, Chinyere Diaz, Michael J. Sabet, Cameron Dang, Hung The Nguyen, Tuan Nguyen, Hoan Tran, Minh Le, Nguyen Quoc Khanh Muncey, Aaron Taipei Medical University International Ph.D. Program in Medicine College of Medicine Taipei110 Taiwan University of South Florida Department of Medical Engineering TampaFL United States University of South Florida Department of Industrial and Management Systems Engineering TampaFL United States Georgetown University School of Medicine Department of Medicine WashingtonDC United States Faculty of Life Sciences & Medicine King's College London School of Biomedical Engineering & Imaging Sciences London United Kingdom Minerva University San FranciscoCA United States Fredericton Leo Hayes High School NB Canada Taipei Medical University Research Center for Artificial Intelligence in Medicine Taipei106 Taiwan Taipei Medical University Professional Master Program in Artificial Intelligence in Medicine College of Medicine Taipei110 Taiwan Taipei Medical University Hospital Translational Imaging Research Center Taipei110 Taiwan Moffitt Cancer Center and Research Institute Department of Anesthesiology TampaFL United States

Accurate quantification of intraoperative blood loss is crucial for enhancing patient safety and the success rate of surgeries. Traditional estimation techniques, mainly reliant on visual assessments, are prone to significant inaccuracies due to their subjective nature. This study introduces MDCare, an innovative deep learning-integrated system designed to substantially improve the precision of blood loss quantification using surgical sponges. By integrating advanced hardware components, including a mass sensor and webcam, with sophisticated algorithms like ResNet-18 and YOLOv4, MDCare achieves classification accuracy up to 96.2% and sponge detection accuracies above 91% for both synthetic and real blood scenarios. The system processes images at 7.4 frames per second, aligning with the exigent pace of surgical environments, thereby supporting surgeons with real-time, accurate blood loss data essential for timely and informed decision-making. The contributions of the paper are: (1) Demonstrating the application of advanced machine learning models in a critical clinical setting, achieving significantly higher accuracy in blood loss estimation compared to traditional methods;(2) Validating the system's efficacy in real-time surgical environments, thereby enhancing the decision-making process and potentially reducing postoperative complications;(3) Setting a new standard in surgical care by integrating a complex system into real-world clinical workflows, showcasing its adaptability and potential for widespread adoption. Future work will focus on expanding the dataset and refining the algorithms to ensure the MDCare system's robustness and adaptability across surgical settings. The findings underscore the potential of MDCare to automate and refine critical aspects of surgery, marking a significant advancement in surgical care. © 2024 IEEE.

关键词： Digital storage

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Identification of compliant contact parameters and admittance force modulation on a non-stationary compliant surface

arXiv

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arXiv 2020年

作者： Wijayarathne, Lasitha Hammond, Frank L. Woodruff School of Mechanical Engineering Coulter Department of Biomedical Engineering Georgia Institute of Technology

Although autonomous control of robotic manipulators has been studied for several decades, they are not commonly used in safety-critical applications due to lack of safety and performance guarantees - many of them concerning the modulation of interaction forces. This paper presents a mechanical probing strategy for estimating the environmental impedance parameters of compliant environments, independent a manipulator’s controller design, and configuration. The parameter estimates are used in a position-based adaptive force controller to enable control of interaction forces in compliant, stationary, and non-stationary environments. This approach is targeted for applications where the workspace is constrained and non-stationary, and where force control is critical to task success. These applications include surgical tasks involving manipulation of compliant, delicate, moving tissues. Results show fast parameter estimation and successful force modulation that compensates for motion. Copyright © 2020, The Authors. All rights reserved.

关键词： Parameter estimation

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Interaction Between a Low-Temperature Plasma and Graphene: An in situ Raman Thermometry Study

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Physical Review Applied 2021年第2期15卷 024018-024018页

作者： Carla Berrospe-Rodriguez Joseph Schwan Giorgio Nava Fariborz Kargar Alexander A. Balandin Lorenzo Mangolini Department of Mechanical Engineering University of California Riverside 900 University Ave. Riverside California 92521 USA Department of Electrical and Computer Engineering University of California Riverside 900 University Ave. Riverside California 92521 USA Materials Science and Engineering Program University of California Riverside 900 University Ave. Riverside California 92521 USA

The localized release of energy at the surface of plasma-exposed materials plays a crucial role in many plasma-driven processes. Unfortunately, the interaction between low-temperature plasmas and surfaces is both poorly understood and difficult to characterize. Here, we use Raman thermometry to measure the temperature of graphene during plasma exposure. We observe a significant increase in the graphene temperature even for modest input plasma powers. These results suggest that two-dimensional materials are effective surface probes for the quantitative characterization of plasma-induced heating effects and for further investigation of the plasma-surface interaction.

关键词： Chemical Physics & Physical Chemistry Heat transfer High-frequency & RF discharges in plasmas Plasma-solid interactions Temperature Graphene Low-temperature plasma Raman spectroscopy

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Shear wave propagation as a noninvasive metric of loading and microdamage in tendon fascicles

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Journal of the mechanical behavior of biomedical materials 2025年 169卷 107081页

作者： Shreya R Kotha Jonathon L Blank Samantha M Kahr Alex J Reiter Sinan Candan Christian Franck Darryl G Thelen Department of Biomedical Engineering University of Wisconsin-Madison Madison WI USA. McKay Orthopaedic Research Laboratory University of Pennsylvania Philadelphia PA USA. Electronic address: jonathon.blank@pennmedicine.upenn.edu. Department of Biomedical Engineering St. Louis University St. Louis MO USA. Department of Mechanical Engineering University of Wisconsin-Madison Madison WI USA. Department of Biomedical Engineering University of Wisconsin-Madison Madison WI USA

Tendon damage and injury are often linked with repetitive loading, which can induce microdamage that diminishes the elasticity and strength of the tissue. The current study investigated whether wave propagation metrics could serve as a surrogate measure of microdamage in tendon fascicles. We extracted 18 tail tendon fascicles from tails of 9-month-old F344XBN rats and subjected them to cyclic loading to failure (0-5% peak strain, 0.5 Hz). Transient shear waves were induced via an impulsive tap applied transversely at 50 Hz. Wave propagation along the fascicle was tracked noninvasively using two laser Doppler vibrometers. Second harmonic generation (SHG) imaging confirmed that the fatigue protocol induced microdamage, characterized by kinked fibers, voids, and misalignment in longitudinal images. Wave speeds were well-described by a tensioned beam model, increasing in proportion to the square root of axial stress. Cyclic fatigue loading significantly reduced fascicle elasticity and diminished stress and wave speed at a given stretch. Notably, wave speeds also increased modestly with cyclic loading at a given stress level, suggesting stress may be elevated on intact structures as microdamage accumulates. These findings demonstrate that wave propagation metrics may provide a non-invasive, quantitative approach to tracking stress and fatigue-related changes in tendon material and structural properties.

关键词： Fatigue loading Microdamage Non-invasive SHG imaging Shear wave speed Tendon fascicles Tensiometry

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