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AllWeather-UsableWearable Dual Energy Harvester for Outdoor Sustainable Operation

SusMat 2025年第1期5卷 159-170页

作者： Yeongju Jung Jiyong Ahn Ji-Seok Kim Junhyuk Bang Minwoo Kim Seongmin Jeong Jinwoo Lee Seonggeun Han Il-Kwon Oh Seung Hwan Ko Applied Nano and Thermal Science Lab Department of Mechanical EngineeringSeoul National UniversitySeoulRepublic of Korea National Creative Research Initiative for Functionally Antagonistic Nano-Engineering Department of Mechanical EngineeringSchool of Mechanical and Aerospace EngineeringKorea Advanced Institute of Science and Technology(KAIST)DaejeonRepublic of Korea Department of Mechanical Roboticsand Energy EngineeringDongguk UniversitySeoulRepublic of Korea Device Solutions Research Samsung ElectronicsHwaseong-siRepublic of Korea Institute of Engineering Research/Institute of Advanced Machinery and Design(SNU-IAMD) Seoul National UniversitySeoulRepublic of Korea Interdisciplinary Program in Bioengineering Seoul National UniversitySeoulRepublic of Korea

Sustainable power sources for outdoor wearable electronics are essential for the continuous operation of wearable ***,the current lack of engineering design that can harvest energy regardless of weather conditions presents a significant *** this regard,this study introduces a wearable,breathable all-weather usable dual energy harvester(AWuDEH)that can seamlessly generate electrical energy regardless of weather *** this study,the AWuDEH integrated with the thermoelectric generator and the droplet-based electricity generator is *** AWuDEH,especially engineered with a bi-functional top substrate for radiative cooling and electrification,achieves sustainable energy harvesting outdoors,thereby addressing the conventional challenge associated with the necessity for separate energy harvesters tailored to outdoor usage contingent on weather *** device reaches a maximum power output of 14.6μW cm^(-2)under simulated sunny conditions and generates a much more enhanced thermoelectric power of 74.78μW cm^(-2)and a droplet-based electric power of 256.25 mW m^(-2)in rainy *** proof,this study developed self-powered wearable electronics capable of acquiring physiological signals in simulated outdoor *** study presents a promising advancement in wearable technology,offering a potent solution for sustainable energy harvesting independent of weather conditions.

关键词： all-weather usable droplet-based electricity generator hybrid architecture outdoor sustainable operation thermoelectric generator

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L2 Input-to-State Stability and Stabilization of Coupled Linear ODE-Hyperbolic PDE systems∗ 63

L2 Input-to-State Stability and Stabilization of Coupled Lin...

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63rd IEEE Conference on Decision and Control, CDC 2024

作者： Coutinho, Daniel Andrade, Gustavo Artur De Carvalho, Franthiescolly Vieira De Federal University of Santa Catarina Department of Automation and Systems Engineering Florianópolis88040-370 Brazil Federal University of Santa Catarina Post-graduate Program in Automation and Systems Engineering Florianópolis88040-370 Brazil

ISBN: (纸本)9798350316339

This paper addresses the problem of input-to-state stability (ISS) and stabilization of linear ordinary differential equations (ODEs) coupled with a system of homogeneous linear hyperbolic partial differential equations (PDEs) through the boundaries. First, a Lyapunov result characterizing the ISS property for finite-dimensional systems is extended to deal with coupled ODE and PDE systems. The proposed ISS condition is then applied to derive stability and stabilization conditions in terms of linear matrix inequality constraints assuming magnitude bounded disturbances at the boundaries. Two convex optimization problems are also proposed in order to obtain either an optimized reachable set estimate or a boundary controller that minimizes the disturbance effects on the L2 × R-norm of the system states. Numerical examples illustrate the potential of the proposed approach. © 2024 IEEE.

关键词： Convex optimization

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Trace Determination of Cardiac Troponin I Using a Label-Free Fiber Optical Localized Surface Plasmon Resonance Biosensors

Trace Determination of Cardiac Troponin I Using a Label-Free...

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2024 Laser Applications to Chemical, Security and Environmental Analysis, LACSEA 2024 - Part of Optica Sensing Congress

作者： Chiang, Chang-Yue Chen, Chien-Hsing Wang, Chien-Tsung Wu, Chin-Wei Chiang, Hsing-Yu Graduate School of Engineering Science and Technology Interdisciplinary Program of Engineering National Yunlin University of Science and Technology Yunlin64002 Taiwan Department of Biomechatronics Engineering National Pingtung University of Science and Technology Pingtung91201 Taiwan Department of Chemical & Materials Engineering National Yunlin University of Science and Technology Yunlin64002 Taiwan

ISBN: (纸本)9781957171371

This work proposes a carboxyl-graphene-oxide-based fiber optic localized surface plasmon resonance biosensor which employed anti-Cardiac Troponin I (anti-cTnI) as the recognition element to detect the cTnI-protein in 10 min with a limit of detection (LOD) of 5.8 pM, which meets the acceptable LOD for clinical testing of 0.04 ng/mL. © Optica Publishing Group 2024, © 2024 The Author(s)

关键词： Surface plasmon resonance

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Key fuel characteristics and techno-economic aspects of torrefied rubberwood biomass pellets produced by incorporating various cassava-based binders at varied doses

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Environmental Science and Pollution Research 2024年第25期31卷 37663-37680页

作者： Kongto, Pumin Palamanit, Arkom Chaiprapat, Sumate Tippayawong, Nakorn Khempila, Jarunee Ruangim, Panatda Energy Technology Program Department of Interdisciplinary Engineering Faculty of Engineering Prince of Songkla University 15 Kanjanavanich Rd. Songkhla Hat Yai90110 Thailand Research Center Faculty of Engineering Prince of Songkla University 15 Kanjanavanich Rd. Songkhla Hat Yai90110 Thailand Department of Civil and Environmental Engineering Faculty of Engineering Prince of Songkla University 15 Kanjanavanich Rd. Songkhla Hat Yai90110 Thailand Department of Mechanical Engineering Chiang Mai University 239 Huay Kaew Rd. Chiang Mai Muang District 50200 Thailand Physics Program Faculty of Science and Technology Rajabhat Maha Sarakham University 80 Nakhon Sawan Rd. Maha Sarakham Mueang District 44000 Thailand

Improving energy content and hydrophobic nature of woody biomass can be pursued through torrefaction. This gives torrefied biomass with a low bulk density, potentially increasing storage and transport costs. To overcome this issue, densifying the torrefied biomass is necessary. However, poor binding of particles makes densification challenging without using a binder. Therefore, the aim of this study was to investigate the physicochemical characteristics and techno-economic aspects of torrefied rubberwood biomass (TRWB) when pelletized using various cassava-based binders at different blending ratios. The selected binders included cassava starch (CS), cassava pulp (CP), and cassava chip (CC). Each binder at 5%, 10%, or 15% (wt.) was mixed with TRWB and water before pelletizing using a flat die machine. The results revealed that pelletizing TRWB with different cassava-based binders at various blending ratios influenced the physicochemical characteristics of the TRWB pellets, particularly dimensions, bulk density, fuel and atomic ratios, and energy content. The TRWB pellets demonstrated energy densities in the range of 7.95–11.39 GJ/m3, and their mechanical durability and fine content fell within acceptable ranges. The TRWB pellets maintained their shape during 120 min of water soaking, with water absorption levels varying by binder dose. The pelletizing ability, material, and energy costs of TRWB pellets depend on binder type and dose. CP can be applied as a binder for pelletizing torrefied rubberwood biomass. However, the mechanical durability of the product needs to be above the user requirement or standard. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.

关键词： Pelletizing

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Adversarial Environment Design via Regret-Guided Diffusion Models 38

Adversarial Environment Design via Regret-Guided Diffusion M...

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38th Conference on Neural Information Processing systems, NeurIPS 2024

作者： Chung, Hojun Lee, Junseo Kim, Minsoo Kim, Dohyeong Oh, Songhwai Interdisciplinary Program in Artificial Intelligence ASRI Seoul National University Korea Republic of Department of Electrical and Computer Engineering ASRI Seoul National University Korea Republic of

Training agents that are robust to environmental changes remains a significant challenge in deep reinforcement learning (RL). Unsupervised environment design (UED) has recently emerged to address this issue by generating a set of training environments tailored to the agent's capabilities. While prior works demonstrate that UED has the potential to learn a robust policy, their performance is constrained by the capabilities of the environment generation. To this end, we propose a novel UED algorithm, adversarial environment design via regret-guided diffusion models (ADD). The proposed method guides the diffusion-based environment generator with the regret of the agent to produce environments that the agent finds challenging but conducive to further improvement. By exploiting the representation power of diffusion models, ADD can directly generate adversarial environments while maintaining the diversity of training environments, enabling the agent to effectively learn a robust policy. Our experimental results demonstrate that the proposed method successfully generates an instructive curriculum of environments, outperforming UED baselines in zero-shot generalization across novel, out-of-distribution environments. Project page: https://***/projects/ADD. © 2024 Neural information processing systems foundation. All rights reserved.

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Risk Management Practices using the House of Risk for Safety, Health, etc.(HORshe) Method: A Case Study on Wastewater Treatment in the Pharmaceutical Industry 1

Risk Management Practices using the House of Risk for Safety...

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1st IEEE International Symposium on Consumer Technology, ISCT 2024

作者： Pasaribu, Aswin Sudiarno, Adithya Interdisciplinary School of Management and Technology Institut Teknologi Sepuluh Nopember Surabaya Indonesia Institut Teknologi Sepuluh Nopember Industrial and Systems Engineering Department Surabaya Indonesia

ISBN: (纸本)9798350365191

The pharmaceutical industry in Indonesia is expanding rapidly despite environmental challenges. PT. XYZ, a major player, faces significant difficulties in managing liquid waste. The current Liquid Waste Disposal Permit (IPLC) is deficient, inadequately addressing domestic wastewater quality standards and broader environmental sustainability measures. A comprehensive legislative framework covering all technical and environmental aspects, including household wastewater, is necessary. This study introduces the House of Risk for Safety, Health, etc. (HORshe) approach, an advanced model integrating methodologies from HOR (House of Risk), HoQ (House of Quality), FMEA (Failure Mode and Effect Analysis), and HIRA (Hazard Identification and Risk Analysis). HORshe expands risk management to include safety, health, and environmental considerations, emphasizing preventive measures to mitigate risk agents. The research utilizes the HORshe model to identify effective wastewater control strategies through qualitative interviews and Focus Group Discussions (FGDs). The study's significance lies in its application to pharmaceutical industrial waste management, addressing critical environmental risks and consumer safety concerns. The objective is to refine risk analysis across multiple sectors using the HORshe model and contribute to future research. The results suggest 11 preventive measures for 6 key risk factors out of a total of 12, with ultrafiltration identified as the most crucial preventive strategy, while reverse-osmosis control systems are deemed less significant. This highlights the research's impact on sustainable waste disposal practices in the pharmaceutical industry and other domains, providing a foundation for future improvements in environmental risk management. © 2024 IEEE.

关键词： Reverse osmosis

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Enhancing compatibility and biodegradability of polylactic acid/biomass composites through torrefaction of forest residue

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Journal of Bioresources and Bioproducts 2025年第1期10卷 51-61页

作者： June-Ho Choi Myeong Rok Ahn Chae-Hwi Yoon Yeon-Su Lim Jong Ryeol Kim Hyolin Seong Chan-Duck Jung Sang-Mook You Jonghwa Kim Younghoon Kim Hyun Gil Cha Jae-Won Lee Hoyong Kim Center for Bio-based Chemistry Korea Research Institute of Chemical Technology(KRICT)Ulsan 44429South Korea Department of Wood Science and Engineering College of Agriculture and Life SciencesChonnam National UniversityGwangju 61186South Korea Interdisciplinary Program in IT-Bio Convergence System Chonnam National UniversityGwangju 61186South Korea

This study investigated the effects of torrefaction on forest residue(FR)and its subsequent ap-plication as a bulk-loading filler in polylactic acid(PLA)*** enhanced the chemical properties of FR,improving its compatibility with PLA,and the crystallinity increased from 24.9%to 42.5%.The process also improved the hydrophobicity of PLA/biomass composites,as demonstrated by the water contact angle of 76.1°,closely matching that of neat PLA(76.4°).With the introduction of 20%modified biomass properties after torrefaction treatment,the tensile strength of PLA/biomass composite increased from 58.7 to 62.3 ***,the addition of torrefied forest residue(TFR)accelerated biodegradation by increasing the onset of degrada-tion and inhibiting *** 90 d,the biodegradability of PLA/biomass composites reached 94.9%,which had a 6.9%increase compared to the neat PLA(88.8%).Overall,this study highlights the potential of torrefaction in enhancing both the physical properties and biodegrad-ability of PLA-based composites,contributing to a more sustainable approach to reducing plastic pollution.

关键词： Forest residue Torrefaction Bulk-loading filler Polylactic acid composite Hydrophobicity Tensile strength Biodegradability

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Site Readiness Index for Implementing Industry 4.0 based on the Design Principles and Emerging Manufacturing Technologies

Site Readiness Index for Implementing Industry 4.0 based on ...

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IISE Annual Conference and Expo 2023

作者： Garbie, Ibrahim Parsaei, Hamid Garbie, Muhammad Department of Mechanical Engineering-Industrial Engineering Program College of Engineering Helwan University Cairo Egypt Wm Michael Barnes’64 Department of Industrial and Systems Engineering Texas A&M University College StationTX United States Department of Industrial Systems and Manufacturing Engineering Texas Tech University LubbockTX United States

ISBN: (纸本)9781713877851

Nowadays, Implementing Industry 4.0 (I4.0) has become an urgent mandate in manufacturing enterprises to increase the efficiency and effectiveness of production processes. Six design principles (DP) must be considered to meet the challenges of integrating I4.0 beside the emerging advanced manufacturing technologies (AMT). This paper summarizes the analysis and investigation into the importance of I4.0 side readiness that enables the customization of AMT with the DP. The principal aim of this paper is to support manufacturing enterprises by incorporating AMT with the DP, thus helping these enterprises identify their specific requirements for implementing industry 4.0/ smart manufacturing. A model of estimating side readiness by adopting the DP incorporating customizing AMT is also analyzed and presented. The side readiness index towards implementing I4.0 is assessed and illustrated through a numerical example. © IISE and Expo *** rights reserved.

关键词： Industry 4.0

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3D-SLAM Implementation on Commercial UAV: Challenges and Future Insights 16

3D-SLAM Implementation on Commercial UAV: Challenges and Fut...

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16th International Conference on Developments in esystems engineering, DeSE 2023

作者： Shullar, Yaman Baroudi, Uthman King Fahd University of Petroleum & Minerals Interdisciplinary Center for Intelligent Secure Systems Computer Engineering Department Dhahran Saudi Arabia

ISBN: (纸本)9798350381344

In recent years, the field of programming Unmanned Arial Vehicles (UAVs) has gained significant attention from researchers due to their substantial potential in various applications, including surveillance, inspection, and critical situations like examining buildings that are burning or collapsing. For this purpose, drones that have several sensors installed would be of good use in constructing a 3D map and localizing most of the objects within a certain area or room, which is also referred to as Simultaneous Localization and Mapping (SLAM). However, installing these sensors would harden the mission of the drone since it would mean more power consumption, more computations, and less navigation flexibility. For this reason, monocular visual SLAM has become the trend, which refers to using a sole camera to build the map and locate the objects in each scene. This approach introduces new challenges, one of the most crucial challenges is estimating the depth (i.e., distances within an image) of each scene from a 2D image. For this task, Deep Learning (DL) models have been considered as a solution for this problem, and with the continuous development in DL and the computational resources that can carry out the expensive training of DL models, it was shown that a 3D map reconstruction is possible utilizing 2D images. This work investigates the performance of a combination of different SLAM and depth estimation models implemented on a commercial drone. The main goal is to carry out a comparison between different methodologies of depth estimation that support monocular 3D SLAM algorithms. © 2023 IEEE.

关键词： Drones

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Model Predictive Control of Power Converters for Load Fluctuations Attenuation in DC-Microgrid With Fuel Cell and Battery Energy Storage

Model Predictive Control of Power Converters for Load Fluctu...

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2024 IEEE/PES Transmission and Distribution Conference and Exposition, T and D 2024

作者： Maaruf, Muhammad Khalid, Muhammad King Fahd University of Petroleum & Minerals Systems Engineering Department Dhahran31261 Saudi Arabia Interdisciplinary Research Center for Renewable Energy and Power Systems KFUPM Dhahran31261 Saudi Arabia King Fahd University of Petroleum & Minerals Electrical Engineering Department Dhahran31261 Saudi Arabia

ISBN: (纸本)9798350316377

This paper proposes a constrained model predictive control (MPC) to attenuate the adverse impacts of load power fluctuations in a DC-microgrid incorporating fuel cells (FC) and battery energy storage systems (BES). Various constraints are imposed on the currents of the energy sources and the control inputs of the DC power converters to satisfy their practical limitations. Moreover, the DC link voltage, as well as the load voltage, is constrained within a safe range to ensure the continuous supply of power and prevent degradation of the DC-microgrid due to load power fluctuations. At each sampling instant, the constrained MPC computes a state feedback control policy that minimizes the cost function and satisfies the constraints. The MPC problem is solved using the linear matrix inequality (LMI). The simulation results demonstrate the feasibility of the proposed control scheme. © 2024 IEEE.

关键词： Model predictive control

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