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IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS)

作者： Vi Bauty Riska Utami Heroe Wijanto Miftadi Sudjai Graduate Program of Regulation and Management of Telecommunication School of Electrical Engineering Telkom University Bandung Indonesia The University Center of Excellence for Intelligent Sensing-IoT School of Electrical Engineering Telkom University Bandung Indonesia Center of Excellence in Biomedical and Healthcare Technology School of Electrical Engineering Telkom University Bandung Indonesia

ISBN: (数字)9798331543105

ISBN: (纸本)9798331543112

Current satellite technology has developed rapidly from traditional satellites to High Throughput Satellite (HTS) because it offers the advantages of multibeam antennas and reuse frequencies. Nevertheless, intersystem interference exists. This study discusses Co-Channel Interference (CCI) in the 4-reuse color scheme on an 8-beam GSO HTS with Ku-band frequencies in Indonesia. The analysis was conducted by analyzing the link budget and capacity before and after interference on the user communication side, forward downlink, and return uplink. The results of the link budget before CCI, Carrier to Noise ratio or C/N on Beam 1 to 8 ranging from 23.34 dB to 23.50 dB. And C/N on the return uplink is 18.74 dB to 19.07 dB. Then after interference, the Carrier to Noise plus Interference Ratio or C/(N+I) on the forward downlink produces 11.96 dB to 12.15 dB. While the return uplink produces C/(N+I) of 13.91 to 14.05 dB for Beam 1 to Beam 8. Because CCI decreases signal quality, the total capacity decreases where the forward downlink before interference produces 8.99 Gbps to 4.74 Gbps. The return uplink capacity of 7.09 Gbps due to interference becomes 5.27 Gbps. The purpose of further research recommendations is to analyze CCI on other reuse color schemes with a more significant number of beams and analyze appropriate mitigation techniques.

关键词： High-temperature superconductors Satellite antennas Satellites Image color analysis Prevention and mitigation Downlink Throughput Ku-band Uplink Interchannel interference

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Data-Driven Control and Behavior-Based Control Applied to a SISO Mobile Robot

Data-Driven Control and Behavior-Based Control Applied to a ...

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IEEE Latin American Robotics Symposium, LARS

作者： M. A. Pastrana Karine R. Santos Alceu B. C. de Farias Daniel M. Muñoz Department of Mechanical Engineering Mechatronics Graduate Program Automation and Control Group/GRACO University of Brasilia Brasilia DF Brazil Faculty of Gama Biomedical Engineering Graduate Program University of Brasilia Brasilia DF Brazil Faculty of Gama Electronics Engineering Undergraduate Program University of Brasilia Brasilia DF Brazil

ISBN: (数字)9781665462808

ISBN: (纸本)9781665462815

With the advancement of technology, systems in many different areas of application have become more complex, and obtaining reliable mathematical models is a task that is increasingly becoming more difficult as well. To overcome these issues, new methodologies have emerged, such as the one known as Data-Driven-Control (DDC), which uses the input and output data of the system to design a controller, and Behavior-Based-Control (BBC), which provides the controller based on the desired behavior of a system. In this work, these two methodologies were applied to obtain the transfer function of a Single-Input Single-Output mobile robotic platform that moves parallel to a wall. A Proportional Integral Derivative controller was used to control the left wheel, while the right wheel was set to a constant speed, allowing the mobile robot to maintain a constant distance from the wall. The controller was tuned utilizing root locus methodology with an overshot of 16.7%, settling time of 6.45 seconds, and a static error of 2.1%. Additionally, disturbances were added to test the robustness of the mobile robot model and the PID controller.

关键词： Analytical models Biological system modeling Wheels Transfer functions Robot sensing systems Control systems Mathematical models

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All-Electric Ship On-Board Continuous Sustainable H2 Generation from Aluminum Scrap and Seawater

All-Electric Ship On-Board Continuous Sustainable H2 Generat...

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2023 IEEE Electric Ship Technologies Symposium, ESTS 2023

作者： Taher, Dhyogo M. Balmant, Wellington Och, Stephan H. Pitz, Diogo B. Venter, Giuliana S. Filho, Lucio C. Martins, Lauber S. Vargas, Jose V. C. Ordonez, Juan C. Federal University of Paraná Ufpr Graduate Program in Mechanical Engineering Sustainable Energy Research and Development Center PR Curitiba81531-980 Brazil Maringá State University Uem Department of Chemical Engineering PR Maringá87020-900 Brazil Advent Health University Ahu Department of Health and Biomedical Sciences OrlandoFL32803 United States Center for Advanced Power Systems and Energy Sustainability Center Florida State University Fsu Department of Mechanical Engineering TallahasseeFL32310 United States

ISBN: (纸本)9781665465151

A mathematical model of a sustainable H2 generation reactor that utilizes aluminum and seawater is introduced. Conservation of species and the kinetics of the H2 production reaction from aluminum and seawater allowed for obtaining the process transient response in a batch reactor. Continuous steady state production was assessed by adding a balance of energy, allowing for reactants inlet mass flow rates, and calculating the outlet H2 mass flow (generation) rate. The theoretical H2 production curve data showed good quantitative and qualitative agreement with experimental data. The validated mathematical model was then used to optimize the continuous reactor. The maximum was sharp, since an 85% variation between the maximum and the smallest H2 generation rate value as a function of the inlet NaOH solution volumetric flow rate tested range was verified. Such fundamental result stresses the importance of operating the system at the optimal condition, no matter how complex the actual reactor design may be. Since aluminum is inexpensive, abundant, and fully recyclable, in situ sustainable H2 production could allow for fuel cell stacks to become all electric ships (AES) power sources. © 2023 IEEE.

关键词： Aluminum

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A Comprehensive Study on How Different Mineralization Processes Affect Native Structure of Wetspun Collagen Fibers and Mineral Quality by Using S(Ftir)

SSRN

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SSRN 2024年

作者： Hacıosmanoğlu, Selçuk Kaan Belet, Abdulbaki Kamel, Gihan Kazanci, Murat Nanoscience and Nanoengineering Program Graduate School Istanbul Medeniyet University Istanbul34700 Turkey Biomedical Engineering Department School of Engineering and Natural Sciences Istanbul Medeniyet University Istanbul34700 Turkey Allan19252 Jordan Department of Physics Faculty of Sciences Helwan University Cairo Egypt

The collagen fibers could easily be produced via wet-spinning and mineralized by employing different mineralization methods. Herein, three different methods are used to obtain mineralized collagen fibers those are the Polymer-Induced Liquid-Precursor (P.I.L.P.), In-situ and Hydroxyapatite Mineral Addition (H.A.M.A.). Synchrotron Fourier-Transform Infrared Microspectroscopy is a powerful tool that sheds light on the molecular structure of collagen fibers. In this paper we discussed three different mineralization methods and detail their effects on the structure of collagen. One of the discussed highlights is that the applied mineralization methods caused distinct spectral shifts for the protein bands’ positions. It is demonstrated that among the suggested mineralization methods, In-situ and PILP have less, and H.A.M.A. has more effect on the native structure of collagen bundles and PILP gives the higher ratio of Ca/PO4. © 2024, The Authors. All rights reserved.

关键词： Collagen

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Mental Stress Analysis using the Power Spectrum of fNIRS Signals

Mental Stress Analysis using the Power Spectrum of fNIRS Sig...

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2022 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2022

作者： Katmah, Rateb Al-Shargie, Fares Tariq, Usman Babiloni, Fabio Al-Mughairbi, Fadwa Al-Nashash, Hasan American University of Sharjah Biomedical Engineering Graduate Program Sharjah United Arab Emirates American University of Sharjah Department of Electrical Engineering Sharjah United Arab Emirates University of Sapienza Rome Department of Molecular Medicine Rome Italy United Arab Emirates University College of Medicines and Health Sciences Al-Ain United Arab Emirates

ISBN: (数字)9781665456005

ISBN: (纸本)9781665456005

Mental stress is one of the major health problems in modern societies. Detecting mental stress at its early stage and developing a method of stress mitigation is very important for safety, health and quality of life. In this study, we employed a modified Stroop Color Word Task (SCWT) with time constrains and negative feedback about the performance, together with Binaural Beats Stimulation (BBs), to induce three varied levels of mental stress. Level one was based on SCWT alone and level two was based on SCWT+time-pressure and level three was by utilizing SCWT+time-pressure+BBs. We then quantified the level of stress using a NASA TLX questionnaire and functional near-infrared spectroscopy (fNIRS). The fNIRS signals were then analyzed using the Welch power spectrum density (PSD) to investigate the discrepancy in brain activity across the three levels of mental stress. We found that the mean PSD value in the frequency range of 0.2 to 0.5 Hz has significantly changed between the three stress levels. These findings indicate that the fNIRS power spectrum analysis method could be used as a robust marker for mental stress. © 2022 IEEE.

关键词： Power spectrum

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Mental Stress Assessment Using fNIRS and LSTM

Mental Stress Assessment Using fNIRS and LSTM

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2022 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2022

ISBN: (数字)9781665452588

ISBN: (纸本)9781665452588

Mental stress is a significant factor in the development of a wide variety of psychological, emotional, behavioral, and physical illnesses. It is critical to accurately quantify mental stress, which needs reliable neuroimaging to monitor stress levels. In this work, we used a modified Stroop Color Word Task (SCWT) with time constraints and negative feedback to elicit two distinct degrees of stress in the workplace. We then used salivary alpha amylase (SAA) concurrently with functional near-infrared spectroscopy (fNIRS) to quantify the level of stress. We propose Long Short-Term Memory (LSTM) to decode the two classes of mental stress based on the fNIRS time series. Five-fold cross validation, two LSTM layers, as well as many trainable characteristics were used to construct the network. The induced mental stress increased the level of salivary alpha amylase significantly (p © 2022 IEEE.

关键词： Long short-term memory

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LoraMap: Harnessing the Power of LoRA Connections

arXiv

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arXiv 2024年

作者： Park, Hyeryun Kwak, Jeongwon Jang, Dongsuk Park, Sumin Choi, Jinwook Interdisciplinary Program for Bioengineering Graduate School Seoul National University Korea Republic of Integrated Major in Innovative Medical Science Graduate School Seoul National University Korea Republic of Department of Biomedical Engineering College of Medicine Seoul National University Korea Republic of Medical Research Center Institute of Medical and Biological Engineering Seoul National University Korea Republic of

Fact-checking techniques can mitigate hallucinations in Large Language Models (LLMs), a prominent issue in specialized domains. As parameter-efficient techniques such as Low-Rank Adaptation (LoRA) can overcome substantial computational overhead, some studies have explored the integration of multiple LoRAs. While previous studies focus on parallel integration, this paper investigates methods to establish connections among multiple LoRAs. We create three reasoning datasets tailored to fact-checking and fine-tune individual LoRAs, allowing them to view and reason from diverse perspectives. Then, we explore strategies for allocating these reasoning LoRAs and introduce LoraMap, an approach to map connections between them. The results of the fact-checking task demonstrate that the performance of LoraMap is superior to LoraHub, an existing method for integrating LoRAs. LoraMap also outperforms with significantly fewer trainable parameters than LoraConcat, which concatenates LoRAs and further fine-tunes them. Copyright © 2024, The Authors. All rights reserved.

关键词： Problem oriented languages

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Noggin expression in human nucleus pulposus cells: A comparative study of degenerative and traumatic intervertebral discs

Advanced Orthopaedics

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Advanced Orthopaedics 2025年 1卷 55-62页

作者： Shuimu Chen Sebastian F. Bigdon Sonja Häckel Zhen Li Christoph E. Albers Benjamin Gantenbein Department of Orthopaedic Surgery & Traumatology Inselspital Bern University Hospital Faculty of Medicine University of Bern Bern CH-3010 Switzerland Tissue Engineering for Orthopaedics & Mechanobiology (TOM) Bone & Joint Program Department for BioMedical Research (DBMR) Faculty of Medicine University of Bern Bern CH-3008 Switzerland Graduate School for Cellular and Biomedical Sciences (GCB) University of Bern Bern CH-3012 Switzerland Graduate School for Health Sciences (GHS) University of Bern CH-3012 Bern Switzerland AO Research Institute Davos Davos CH-7270 Switzerland

Low back pain (LBP) is a health issue that leads to considerable disability and socioeconomic burdens. The degeneration of the human intervertebral disc (IVD) is a key factor in the pathogenesis of LBP. During disc degeneration, the nucleus pulposus (NP), a critical component of IVD, undergoes significant alterations in structural composition and function. Recent studies have highlighted the importance of various genes in IVD health. Noggin has been described as an essential gene in nucleus pulposus cells (NPCs) and a central role in inhibiting osteogenesis. In this study, we conducted a comparative analysis of Noggin expression in human NPCs from degenerative and healthy IVD. Twenty-six IVD samples (nineteen from degeneration and seven from trauma) were collected to separate NPCs for RNA extraction. Noggin expression was quantified at the transcript level by qPCR to analyze the difference between degenerative and traumatic IVD. Results indicated that Noggin expression was lower in NPCs from degenerated IVD compared to trauma cases. The severity of IVD degeneration correlated with decreased Noggin levels. Traumatic males exhibited higher Noggin expression than traumatic females and those with IVD degeneration. Noggin expression peaked in young adults (18–45 years), decreased in middle age (46–69 years), and rose again in the elderly (over 69 years), but remained lower than in the youth. Furthermore, upper lumbar discs (T12/L1-L2/3) showed higher Noggin levels than lower lumbar discs (L3/4/-L5/S1). This research elucidates valuable insights into the variability of Noggin concerning sex, age, degree of disc degeneration, and disc segment. It provides implications for IVD health and LBP treatment.

关键词： Low back pain Human intervertebral disc Nucleus pulposus cells Noggin

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Super-Fast and Accurate Nonlinear Foot Deformation Prediction Using Graph Neural Networks

SSRN

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SSRN 2024年

作者： Kang, Taehyeon Kim, Jiho Lee, Hyobi Yum, Haeun Kwon, Chani Lee, Sangryun Lee, Taeyong Department of Mechanical and Biomedical Engineering Ewha Womans University Seoul03760 Korea Republic of Department of Mechanical and Biomedical Engineering Graduate Program in System Health Science and Engineering Ewha Womans University Seoul03760 Korea Republic of Human Performance Lab Co. Ltd. #123a 150 Bugahyeon-ro Seodaemun-gu Seoul03759 Korea Republic of Ewha Womans University Korea Republic of

Recently, there has been a significant increase in the number of foot diseases, highlighting the importance of non-surgical treatments. Customized insoles, tailored to an individual's foot morphology, have emerged as a promising solution. However, the traditional design process of the customized insole is both slow and expensive due to the high computational complexity of finite element analysis (FEA) required to predict deformations of the foot. This study explores the applicability of a graph neural network (GNN) based on the MeshGraphNet framework to predict the 3-D shape of the foot under load and test the performance of GNN depending on the number of datasets. A total of 186 3-D undeformed foot CAD geometries are obtained from a series of 2-D foot images with deformations predicted through FEA. This FEA data is then used to train the GNN model, which aims to predict foot displacement with high accuracy and computation speed. After optimization of the weights of the GNN, the model remarkably outperformed FEA simulations in speed, being approximately 100 times faster, while maintaining high accuracy, with R2 values above 95% in predicting foot displacement. This breakthrough suggests that GNN models can greatly improve the efficiency and reduce the cost of manufacturing customized insoles, providing a significant advancement in non-surgical treatment options for foot conditions. © 2024, The Authors. All rights reserved.

关键词： Forecasting

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Review Integration of smartphone technology and artificial intelligence for advanced ophthalmic care:A systematic review

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Advances in Ophthalmology Practice and Research 2024年第3期4卷 120-127页

作者： Kai Jin Yingyu Li Hongkang Wu Yih Chung Tham Victor Koh Yitian Zhao Ryo Kawasaki Andrzej Grzybowski Juan Ye Eye Center The Second Affiliated Hospital of Zhejiang University School of MedicineZhejiang Provincial Key Laboratory of OphthalmologyZhejiang Provincial Clinical Research Center for Eye DiseasesZhejiang Provincial Engineering Institute on Eye DiseasesHangzhouChina Centre for Innovation and Precision Eye Health National University of SingaporeSingapore Department of Ophthalmology National University of SingaporeSingapore Singapore Eye Research Institute Singapore National Eye CentreSingapore Ophthalmology and Visual Science Academic Clinical Program Duke-NUS Medical SchoolSingapore Cixi Institute of Biomedical Engineering Ningbo Institute of Materials Technology and EngineeringChinese Academy of SciencesNingboChina Ningbo Eye Hospital NingboChina Zhejiang International Scientific and Technological Cooperative Base of Biomedical Materials and Technology Ningbo Institute of Materials Technology and EngineeringChinese Academy of SciencesNingboChina Zhejiang Engineering Research Center for Biomedical Materials Ningbo Institute of Materials Technology and EngineeringChinese Academy of SciencesNingboChina Division of Public Health Department of Social MedicineGraduate School of MedicineOsaka UniversityOsakaJapan Artificial Intelligence Center for Medical Research and Application Osaka University HospitalOsakaJapan Institute for Research in Ophthalmology Foundation for Ophthalmology DevelopmentPoznanPoland

Background:The convergence of smartphone technology and artificial intelligence(AI)has revolutionized the landscape of ophthalmic care,offering unprecedented opportunities for diagnosis,monitoring,and management of ocular ***,there is a lack of systematic studies on discussing the integration of smart-phone and AI in this *** text:This review includes 52 studies,and explores the integration of smartphones and AI in ophthalmology,delineating its collective impact on screening methodologies,disease detection,telemedicine initiatives,and patient *** collective findings from the curated studies indicate promising performance of the smartphone-based AI screening for various ocular diseases which encompass major retinal diseases,glaucoma,cataract,visual impairment in children and ocular surface ***,the utilization of smartphone-based imaging modalities,coupled with AI algorithms,is able to provide timely,efficient and cost-effective screening for ocular *** modality can also facilitate patient self-monitoring,remote patient monitoring and enhancing accessibility to eye care services,particularly in underserved *** involving data pri-vacy,algorithm validation,regulatory frameworks and issues of trust are still need to be ***,evaluation on real-world implementation is imperative as well,and real-world prospective studies are currently ***:Smartphone ocular imaging merged with AI enables earlier,precise diagnoses,personalized treat-ments,and enhanced service accessibility in eye *** is crucial to navigate ethical and data security challenges while responsibly leveraging these innovations,promising a potential revolution in care access and global eye health equity.

关键词： Artificial intelligence Smartphone imaging Ophthalmology Telemedicine Ocular disease management

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