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IEEE Networking Letters 2024年第2期6卷 77-81页

作者： Mohammadi, Z. Soleimanpour Moghadam, M. Talebi, S. Ahmadi, H. Shahid Bahonar University of Kerman Department of Electrical Engineering Kerman76169-14111 Iran Texas Biomedical Research Institute San AntonioTX78227 United States Higher Education Complex of Bam Department of Mechanical Engineering Bam76613-14477 Iran University of York School of Physics Engineering and Technology YorkYO10 5DD United Kingdom

This letter investigates a desirable power allocation scheme for shared spectrum networks and formulate it as a constrained optimization model that falls into the nonlinear class fractional programming problems. The investigation focuses on different solutions for the problem under consideration. The first investigated approach utilizes the convex optimization problem (COP) equivalent from of the problem by employing the Charnes-Cooper transformation. This approach finds the optimal solution and thus is the most appropriate from a viewpoint of optimality. The second approach employs the approximate linear programming (LP). From the complexity point of view, the LP problem can be cast as the benchmark. Our proposed linear model has lower complexity with an acceptable accuracy leading to decreasing the time delay to make the final decision on the availability. Simulation results indicate a higher coherence between the two latter approaches and the superior performance than the state-of-the-art literature in different system parameter. © 2019 IEEE.

关键词： Linear programming

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Curriculum Learning Influences the Emergence of Different Learning Trends 23

Curriculum Learning Influences the Emergence of Different Le...

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23rd IEEE-RAS International Conference on Humanoid Robots, Humanoids 2024

作者： Mir, Romina Ojaghi, Pegah Erwin, Andrew Marjaninejad, Ali Wehner, Michael Valero-Cuevas, Francisco J. University of Southern California Department of Biomedical Engineering Los AngelesCA United States University of California Santa Cruz Computer Science and Engineering Department Santa CruzCA United States University of Wisconsin-Madison Mechanical Engineering Department MadisonWI United States

ISBN: (纸本)9798350373578

Reinforcement learning (RL) algorithms are traditionally evaluated and compared by their learning trends (i.e., average performance) over trials and time. However, the presence of a single learning trend in a curriculum is, in fact, an assumption. To test this assumption, we used the performance of Proximal Policy Optimization (PPO) under five different curricula aimed at learning dynamic in-hand manipulation tasks. The curricula consisted of different combinations of rewards for lifting and rotating a 5g ball with a three-finger hand with the palm facing down. Mining the performance of all 60 individual trials as time series, we find there are learning trends distinct from the average. We conclude researchers should look beyond the average learning trends when evaluating curriculum learning to fully identify, appreciate, and evaluate the progression of autonomous learning of multi-objective tasks. © 2024 IEEE.

关键词： Contrastive Learning

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A Hybrid Set-Theoretic Method for Guaranteed State Estimation of Nonlinear Discrete-Time Systems 3

A Hybrid Set-Theoretic Method for Guaranteed State Estimatio...

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3rd IEEE International Conference on Signal, Control and Communication, SCC 2023

作者： Wan, Jian Biomedical and Design Engineering School of Engineering and Technology College of Engineering and Physical Sciences Aston University Department of Mechanical BirminghamB4 7ET United Kingdom

ISBN: (纸本)9798350326390

This paper proposes a hybrid set-theoretic method to implement guaranteed state estimation for nonlinear uncertain discrete-time systems. The proposed method represents a polytopic set exactly at each time instant by the intersection of intervals or boxes and then to propagate these intervals or boxes via zonotopic set computation for guaranteed state estimation of nonlinear discrete-time systems. Such a hybrid set-theoretic approach integrates interval, zonotopic and polytopic set-theoretic methods and makes full use of their specific advantages. The proposed method can be extended for high-dimensional systems due to the use of intervals or boxes rather than parallalotopes for exact set representation. The effectiveness of the proposed hybrid set-theoretic method for guaranteed state estimation of nonlinear uncertain discrete-time systems has been demonstrated via an illustrative example. © 2023 IEEE.

关键词： State estimation

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FEM simulation on forming vacuum hexagon socket screws using tube workpiece 8

FEM simulation on forming vacuum hexagon socket screws using...

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8th International Conference of Precision Machinery and Manufacturing Technology, ICPMMT 2023

作者： Teng, H.Y. Tzou, G.Y. Lu, C. Huang, G.M. Department of Mechanical Engineering Institute of Mechatronic Engineering Cheng Shiu University Niaosong Kaohsiung83347 Taiwan School of Mechanical Materials Mechatronic and Biomedical Engineering Faculty of Engineering and Information Sciences University of Wollongong Northfields Ave. WollongongNSW2522 Australia

This study proposes a new forming design concept to produce vacuum hexagon socket screws using tube workpiece, and uses the finite element simulation software DEFORM-3D to simulate the multi-pass forming process of vacuum hexagon socket screws. The simulated material is SUS-304 stainless steel, and the frictional conditions are assumed to be constant shear friction, the die is assumed to be a rigid body. In the past, the traditional vacuum hexagon socket screw manufacturing process used a multi-pass process to manufacture a standard screw using a solid workpiece (wire rod), and then drilling an air channel in the core of the screw. This process not only wastes time, but also needs to increase the processing cost. In this study, the time and cost of drilling the air channel can be reduced by forming the vacuum hexagon socket head screw through the hollow tube. The finite element simulation results confirm that this design is a feasible method. The pass schedule can be reduced from 6 stages to 3 stages, the maximum effective stress decreased by 28.13%, and the total forming force decreased by 57.66%. The research results can be provided to relevant industry as the reference. © Published under licence by IOP Publishing Ltd.

关键词： Screws

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Downsizing and soft X-ray tomography for cellular uptake of interpenetrated metal-organic frameworks

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Journal of Materials Chemistry B 2024年第25期12卷 6079-6090页

作者： Yu, Yu-Sheng Liang, Yung-Yi Hsieh, Chia-Chun Lin, Zi-Jing Cheng, Po-Hsiu Cheng, Chih-Chan Chen, Shu-Ping Lai, Lee-Jene Wu, Kevin C.-W. National Taiwan University Department of Chemical Engineering Taipei Taiwan National Health Research Institute Institute of Biomedical Engineering and Nanomedicine Miaoli Taiwan Hsinchu Taiwan International Graduate Program of Molecular Science and Technology Taiwan International Graduate Program Academia Sinica Taipei Taiwan National Taiwan University Taipei Taiwan

Metal-organic frameworks (MOFs) are porous materials with potential in biomedical applications such as sensing, drug delivery, and radiosensitization. However, how to tune the properties of the MOFs for such applications remains challenging. Herein, we synthesized two MOFs, Zr-PEB and Hf-PEB. Zr-PEB can be classified as porous interpenetrated zirconium frameworks (PIZOFs) and Hf-PEB is its analogue. We controlled their sizes while maintaining their crystal structure by employing a coordination modulation strategy. They were designed to serve as sensitizer for X-ray therapy and as potential drug carriers. Comprehensive characterizations of the MOFs' properties have been conducted, and the in vitro biological impacts have been studied. Since viability assay showed that Hf-PEB was more biocompatible compared to Zr-PEB, the cellular uptake of Hf-PEB by cells was evaluated using both fluorescence microscopy and soft X-ray tomography (SXT), and the three-dimensional structure of Hf-PEB in cells was observed. The results revealed the potential of Zr-PEB and Hf-PEB as nanomaterials for biomedical applications and demonstrated that SXT is an effective tool to assist the development of such materials. © 2024 The Royal Society of Chemistry.

关键词： Organometallics

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Numerical Investigation Effect of the addition of palm fronds on the burning of coal-fired boilers tangentially

Numerical Investigation Effect of the addition of palm frond...

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2023 International Conference on Advanced Mechatronics, Intelligent Manufacture and Industrial Automation, ICAMIMIA 2023

作者： Ihsan, Sobar Prabowo Widodo, Wawan Aries Adi Saputra, I Nyoman Agus Institut Teknologi Sepuluh Nopember Graduate Program of Mechanical Engineering Department Surabaya Indonesia University of Islam Kalimantan Maab Indonesia Institut Teknologi Sepuluh Nopember Mechanical Engineering Department Surabaya Indonesia

ISBN: (纸本)9798350309225

Biomass co-firing is an appropriate and cheap solution for achieving renewable energy targets towards net zero emissions because it can reduce the potential environmental impacts associated with burning fossil fuels. CFD simulations were carried out by adding palm frond biomass with a ratio of 5% and 95% LRC coal, which was injected into the boiler combustion furnace. The boiler operational parameters used in this simulation are a coal flow rate of 151.75 tons/hour and an airflow rate of 1184.33 tons/hour on the research subject PLTU Pacitan with a capacity of 315 Mw. The results show that adding palm frond biomass to burning coal changes calorific value, affecting the combustion process's high temperature. However, it has a good impact from the operational side of burning coal particles. © 2023 IEEE.

关键词： Biomass

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Enabling direct microcalorimetric measurement of metabolic activity and exothermic reactions onto microfluidic platforms via heat flux sensor integration

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Microsystems & Nanoengineering 2023年第3期9卷 103-114页

作者： Signe L.K.Vehusheia Cosmin Roman Olivier Braissant Markus Arnoldini Christofer Hierold Micro and Nanosystems Department of Mechanical and Process EngineeringETH ZurichTannenstrasse 38092 ZurichSwitzerland Center of Biomechanics and Biocalorimetry Department of Biomedical EngineeringUniversity of BaselHegenheimermattweg 167C4123 AllschwilSwitzerland Laboratory for Food Immunology Department of Health Sciences and TechnologyETH ZurichOtto-Stern-Weg 38093 ZurichSwitzerland

All biological processes use or produce *** microcalorimeters have been utilized to study the metabolic heat output of living organisms and heat production of exothermic chemical *** advances in microfabrication have made possible the miniaturization of commercial microcalorimeters,resulting in a few studies on the metabolic activity of cells at the microscale in microfluidic *** we present a new,versatile,and robust microcalorimetric differential design based on the integration of heat flux sensors on top of microfluidic *** show the design,modeling,calibration,and experimental verification of this system by utilizing Escherichia coli growth and the exothermic base catalyzed hydrolysis of methyl paraben as use *** system consists of a Polydimethylsiloxane based flow-through microfluidic chip with two 46µl chambers and two integrated heat flux *** differential compensation of thermal power measurements allows for the measurement of bacterial growth with a limit of detection of 1707 W/m^(3),corresponding to 0.021OD(2·10^(7) bacteria).We also extracted the thermal power of a single Escherichia coli of between 1.3 and 4.5 pW,comparable to values measured by industrial *** system opens the possibility for expanding already existing microfluidic systems,such as drug testing lab-on-chip platforms,with measurements of metabolic changes of cell populations in form of heat output,without modifying the analyte and minimal interference with the microfluidic channel itself.

关键词： system utilizing versatile

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Enhancing Data Privacy in IoT Cloud Environments with Trust Management 5

Enhancing Data Privacy in IoT Cloud Environments with Trust ...

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5th IEEE International Conference on Recent Trends in Computer Science and Technology, ICRTCST 2024

作者： Goyal, Himanshu Rai Vanitha, A. Karthikeyan, T. Adhikary, Priyabrata Saranya, R. Kiran Kumar, S. Graphic Era Deemed to be University Department of Computer Science & Engineering Uttarakhand Dehradun248002 India Saveetha Engineering College Department of Management Studies Chennai India Sona College of Technology Biomedical Engineering Tamilnadu Salem India New Horizon College of Engineering Department of Mechanical Engineering Bangalore India V. S. B. Engineering College Department of Computer Science and Engineering Karur India St. Martins Engineering College Department of Computer Science and Engineering Telangana Secunderabad India

ISBN: (纸本)9798350351378

A new era of connectedness, convenience, and efficiency has arrived with the introduction of the Internet of Things (IoT), which has revolutionized the way we engage with the world around us. Data privacy in IoT cloud settings is an urgent problem, yet this shift is inevitable. The goal of this research is to improve data privacy by using trust management systems, and a technique to do so has been presented. Our method includes building a trust model to quantify the reliability of IoT devices and cloud service providers, and a privacy model to evaluate the potential dangers of data sharing. To find a happy medium between data value and data privacy, these trust and privacy evaluations lead to the idea of privacy-preserving data sharing. Our findings show that our method is useful, providing information on reliability, privacy risk, and the opportunity for businesses to make educated choices about data sharing. Our approach has far-reaching ramifications for many groups of people, including the IoT sector, businesses, regulators, and the general public. With the goal of improving and extending data privacy solutions in the ever-changing IoT world, future research paths include personalization, real-time adaption, scalability, user-centric controls, and ethical concerns. © 2024 IEEE.

关键词： Internet of things

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Mass spectrometry and laser absorption spectroscopy instrumentation for characterization of carbon phenolic composites pyrolysis

Optics Continuum

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Optics Continuum 2025年第6期4卷 1242-1254页

作者： Samuel E Feltis Niya Y GrimesBrett G Compton Zhili Zhang Department of Mechanical Aerospace and Biomedical Engineering University of Tennessee Knoxville TN 37996 USA

An instrument has been developed by combining tunable diode laser absorption spectroscopy (TDLAS) and mass spectrometry (MS) to characterize the pyrolysis of high-temperature materials. Certain products released in the pyrolysis exhaust are measured in situ using both TDLAS and MS to establish a correlation of their absolute concentrations, such that the concentrations of all species can be quantified. In this experiment, commercially available carbon phenolic composites underwent pyrolysis processes to demonstrate the platform. The gas species of water vapor, methane, and carbon monoxide are targeted at room temperature via three lasers centered at 1392, 1654, and 2327 nm, respectively. The absolute concentration of the gases targeted by the three lasers is measured by TDLAS (molecules/cm 3 ). Mass spectrometry is employed to measure the relative abundances of all present gases, which are then converted into absolute concentrations via correlation with the measurements obtained from TDLAS for water vapor, methane, and carbon monoxide. The temporal evolution of the concentrations of all species is recorded alongside thermal changes measured by a thermocouple connected to the interior of the pyrolysis furnace.

关键词： Absorption spectroscopy Composite materials Laser beams Mass spectrometry Material properties Tunable lasers

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Machine learning-enabled optimization of melt electro-writing three-dimensional printing

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Aggregate 2024年第3期5卷 258-267页

作者： Ahmed Choukri Abdullah Olgac Ozarslan Sara Soltanabadi Farshi Sajjad Rahmani Dabbagh Savas Tasoglu Department of Mechanical Engineering KoçUniversitySariyerTurkey Department of Biomedical Sciences and Engineering KoçUniversitySariyerTurkey KoçUniversity Arçelik Research Center for Creative Industries(KUAR) KoçUniversitySariyerTurkey Koc University Is Bank Artificial Intelligence Lab(KUIS AILab) KoçUniversitySariyerTurkey KoçUniversity Translational Medicine Research Center(KUTTAM) KoçUniversitySariyerTurkey Bogaziçi Institute of Biomedical Engineering Bogaziçi UniversityCengelkoyTurkey

Melt electrowriting(MEW)is a solvent-free(i.e.,no volatile chemicals),a high-resolution three-dimensional(3D)printing method that enables the fabrication of semi-flexible structures with rigid *** its advantages,the MEW pro-cess is sensitive to changes in printing parameters(e.g.,voltage,printing pressure,and temperature),which can causefluid column breakage,jet lag,and/orfiber pulsing,ultimately deteriorating the resolution and printing *** spite of the commonly used error-and-trial method to determine the most suitable parameters,here,we present a machine learning(ML)-enabled image analysis-based method for determining the optimum MEW printing parameters through an easy-to-use graph-ical user interface(GUI).We trainedfive different ML algorithms using 168 MEW 3D print samples,among which the Gaussian process regression ML model yielded 93%accuracy of the variability in the dependent variable,0.12329 on root mean square error for the validation set and 0.015201 mean square error in predicting line *** of ML with a control feedback loop and MEW can reduce the error-and-trial steps prior to the 3D printing process,decreasing the printing time(i.e.,increasing the overall throughput of MEW)and material waste(i.e.,improving the cost-effectiveness of MEW).Moreover,embedding a trained ML model with the feedback control system in a GUI facilitates a more straightforward use of ML-based optimization techniques in the industrial section(i.e.,for users with no ML skills).

关键词： 3D printing additive manufacturing feedback control image analysis machine learning melt electrowriting optimization polymer

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