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design optimization of BLdC motor using multi-objective plasma generation algorithm

AIP Conference Proceedings 2024年第1期3217卷

作者： Sundaram B. Pandya Om S. Patel Ajay Kumar Kanak Kalita Pradeep Jangir Jasgurpreet Singh Chohan Sarita rathee Laith Abualigah Electrical Engineering Department Shri K. J. Polytechnic Bholav Bharuch 392001 India Department Department of Mechanical Engineering JECRC University Jaipur 303905 India Department of Mechanical Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Avadi 600062 India Department of Biosciences Saveetha School of Engineering. Saveetha Institute of Medical and Technical Sciences Chennai 602105 India Department of Mechanical Engineering and University Centre for Research & Development Chandigarh University Mohali 140413 India Department of Electronics and Communication Engineering School of Engineering & Technology JECRC University Jaipur - 303 905 India Computer Science Department Al al-Bayt University Mafraq 25113 Jordan Department of Electrical and Computer Engineering Lebanese American University Byblos 13-5053 Lebanon Hourani Center for Applied Scientific Research Al-Ahliyya Amman University Amman 19328 Jordan MEU Research Unit Middle East University Amman 11831 Jordan

In this paper, a novel Multi-Objective Plasma Generation Optimization (MOPGO) algorithm is introduced. It integrates Non-dominant Sorting (NdS) and Crowding distance (Cd) methods to solve multi- objective optimization problems effectively. The NdS approach preserves non-dominated solutions, while the Cd method ensures diversity among solutions. MOPGO addresses key challenges in optimization such as Pareto dominance, solution diversity. This balanced approach achieves superior optimization performance by maintaining an equilibrium between global diversification and local intensification. The consequences for computational efficiency and solution quality are discussed and compared with other notable algorithms like Equilibrium Optimizer (EO), Thermal Exchange Optimization (TEO), Generalized Normal distribution Optimization (GNdO) and Moth Flame Optimization (MFO).

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design optimization of safety transformer using decomposition-based multi-objective heat transfer search algorithm

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AIP Conference Proceedings 2024年第1期3217卷

作者： Sundaram B. Pandya Om S. Patel Ajay Kumar Kanak Kalita Pradeep Jangir Jasgurpreet Singh Chohan Laith Abualigah Electrical Engineering Department Shri K. J. Polytechnic Bholav Bharuch 392001 India Department Department of Mechanical Engineering School of Engineering and Technology JECRC University Jaipur 303905 India Department of Mechanical Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Avadi 600062 India Department of Biosciences Saveetha School of Engineering. Saveetha Institute of Medical and Technical Sciences Chennai 602105 India Department of Mechanical Engineering and University Centre for Research & Development Chandigarh University Mohali 140413 India Computer Science Department Al al-Bayt University Mafraq 25113 Jordan Department of Electrical and Computer Engineering Lebanese American University Byblos 13-5053 Lebanon Hourani Center for Applied Scientific Research Al-Ahliyya Amman University Amman 19328 Jordan MEU Research Unit Middle East University Amman 11831 Jordan Applied Science Research Center Applied science private university Amman 11931 Jordan

The research examines the real-world implementation of metaheuristic algorithms, namely HTS, EO, MFO and TEO, in optimizing the ’Safety Transformer’ in engineering systems. By prioritizing objectives like weight reduction, efficiency enhancement and dual-objective optimization, the study seeks to prove the efficacy of these algorithms in tackling intricate engineering challenges, specifically in the realm of safety transformer design. This investigation makes a valuable contribution to the advancement of optimization in engineering by highlighting the practical applicability of metaheuristic algorithms in intricate engineering optimization problems.

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Correction to: Understanding the carbonation of concrete with supplementary cementitious materials: a critical review by rILEM TC 281-CCC

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Materials and Structures 2021年第2期54卷 1-2页

作者： von Greve-dierfeld, Stefanie Lothenbach, Barbara Vollpracht, Anya Wu, Bei Huet, Bruno Andrade, Carmen Medina, César Thiel, Charlotte Gruyaert, Elke Vanoutrive, Hanne del Bosque, Isabel F. Saéz Ignjatovic, Ivan Elsen, Jan Provis, John L. Scrivener, Karen Thienel, Karl-Christian Sideris, Kosmas Zajac, Maciej Alderete, Natalia Cizer, Özlem Van den Heede, Philip Hooton, robert douglas Kamali-Bernard, Siham Bernal, Susan A. Zhao, Zengfeng Shi, Zhenguo de Belie, Nele TFB Technology and Research for Concrete Structures Wildegg Switzerland Swiss Federal Laboratories for Materials Science and Technology (Empa) Laboratory for Concrete and Construction Chemistry Dübendorf Switzerland Faculty of Civil Engineering Institute of Building Materials Research RWTH Aachen University Aachen Germany Microlab Faculty of Civil Engineering and Geosciences Delft University of Technology Delft The Netherlands LafargeHolcim Innovation Center Saint-Quentin-Fallavier Cedex France International Centre for Numerical Methods in Engineering (CIMNE) Barcelona Spain Department of Construction Institute for Sustainable Regional Development (INTERRA) University of Extremadura Cáceres Spain Center for Building Materials Technical University of Munich Munich Germany Department of Civil Engineering Structural Mechanics and Building Materials KU Leuven Ghent Belgium Department of Materials and Structures Faculty of Civil Engineering Institute of Materials and Structures University of Belgrade Belgrade Serbia Department of Earth and Environmental Sciences KU Leuven Louvain Belgium Department of Materials Science and Engineering University of Sheffield Sheffield UK Construction Materials Laboratory École polytechnique fédérale de Lausanne Lausanne Switzerland Department of Civil Engineering and Environmental Sciences University of the Bundeswehr Munich Neubiberg Germany Department of Civil Engineering Democritus University of Thrace Xanthi Greece Global R&D HeidelbergCement AG Leimen Germany Department of Structural Engineering and Building Materials Ghent University Ghent Belgium Departement of Civil Engineering KU Leuven Louvain Belgium Department of Civil and Mineral Engineering University of Toronto Toronto Canada National Institute of Applied Sciences of Rennes Rennes France School of Civil Engineering University of Leeds Leeds UK Building Materials Urban and Environment Research University of Liège Liège Belgium

A correction to this paper has been published: https://***/10.1617/s11527-020-01558-w

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Analysis of mesoscale effects in high-shear granulation through a computational fluid dynamics-population balance coupled compartment model

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Particuology 2018年第1期16卷 1-12页

作者： P.J. Abrahamsson P. Kvist G. reynolds X. Yu I. Niklasson Bjorn M.J. Hounslow A. rasmuson Department of Chemical and Biological Engineering Chalmers University of Technology SE-412 96 Gothenburg Sweden Pharmaceutical Development AstraZeneca Macclesfield SK10 2NA UK European Bioenergy Research Institute (EBRI) School of Engineering and Applied Science Aston University Birmingham B4 7ET UK AstraZeneca Pharmaceutical and Analytical R&D Molndal SE-431 83 Moldnal Sweden Department of Chemical and Biological Engineering University of Sheffield Sheffield SI 3JD UK

There is a need for mesoscale resolution and coupling between flow-field information and the evolution of particle properties in high-shear granulation. We have developed a modelling framework that com- partmentalizes the high-shear granulation process based on relevant process parameters in time and space. The model comprises a coupled-flow-field and population-balance solver and is used to resolve and analyze the effects of mesoscales on the evolution of particle properties. A diosna high-shear mixer was modelled with microcrystalline cellulose powder as the granulation material. An analysis of the flow-field solution and compartmentalization allows for a resolution of the stress and collision peak at the impeller blades. different compartmentalizations showed the importance of resolving the impeller region, for aggregating systems and systems with breakage. An independent study investigated the time evolution of the flow field by changing the particle properties in three discrete steps that represent pow- der mixing, the initial granulation stage mixing and the late stage granular mixing. The results of the temporal resolution study show clear changes in collision behavior, especially from powder to granular mixing, which indicates the importance of resolving mesoscale phenomena in time and space.

关键词： High-shear wet granulation Population-balance model Compartment model Computational fluid dynamics

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Towards long-tailed, multi-label disease classification from chest X-ray: Overview of the CXr-LT challenge

arXiv

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arXiv 2023年

作者： Holste, Gregory Zhou, Yiliang Wang, Song Jaiswal, Ajay Lin, Mingquan Zhuge, Sherry Yang, Yuzhe Kim, dongkyun Nguyen-Mau, Trong-Hieu Tran, Minh-Triet Jeong, Jaehyup Park, Wongi ryu, Jongbin Hong, Feng Verma, Arsh Yamagishi, Yosuke Kim, Changhyun Seo, Hyeryeong Kang, Myungjoo Celi, Leo Anthony Lu, Zhiyong Summers, ronald M. Shih, George Wang, Zhangyang Peng, Yifan Department of Electrical and Computer Engineering The University of Texas at Austin AustinTX78712 United States Department of Population Health Sciences Weill Cornell Medicine New YorkNY10065 United States School of Information Systems Carnegie Mellon University PittsburghPA15213 United States Department of Electrical Engineering and Computer Science Massachussetts Institute of Technology CambridgeMA02139 United States School of Computer Science Carnegie Mellon University PittsburghPA15213 United States University of Science VNU-HCM Ho Chi Minh City70000 Viet Nam KT Research & Development Center KT Corporation Seoul06763 Korea Republic of Department of Software and Computer Engineering Ajou University Suwon16499 Korea Republic of Cooperative Medianet Innovation Center Shanghai Jiao Tong University Shanghai200240 China Wadhwani Institute for Artificial Intelligence Mumbai400079 India Division of Radiology and Biomedical Engineering Graduate School of Medicine The University of Tokyo Tokyo113-0033 Japan BioMedical AI Team AIX Future R&D Center SK Telecom Seoul04539 Korea Republic of Seoul National University Seoul02504 Korea Republic of Department of Mathematical Sciences Seoul National University Seoul02504 Korea Republic of Laboratory for Computational Physiology Massachusetts Institute of Technology CambridgeMA02139 United States Division of Pulmonary Critical Care and Sleep Medicine Beth Israel Deaconess Medical Center BostonMA02215 United States Department of Biostatistics Harvard T.H. Chan School of Public Health BostonMA02115 United States National Center for Biotechnology Information National Library of Medicine BethesdaMD20894 United States Clinical Center National Institutes of Health BethesdaMD20892 United States Department of Radiology Weill Cornell Medicine New YorkNY10065 United States

Many real-world image recognition problems, such as diagnostic medical imaging exams, are "long-tailed" – there are a few common findings followed by many more relatively rare conditions. In chest radiography, diagnosis is both a long-tailed and multi-label problem, as patients often present with multiple findings simultaneously. While researchers have begun to study the problem of long-tailed learning in medical image recognition, few have studied the interaction of label imbalance and label co-occurrence posed by long-tailed, multi-label disease classification. To engage with the research community on this emerging topic, we conducted an open challenge, CXr-LT, on long-tailed, multi-label thorax disease classification from chest X-rays (CXrs). We publicly release a large-scale benchmark dataset of over 350,000 CXrs, each labeled with at least one of 26 clinical findings following a long-tailed distribution. We synthesize common themes of top-performing solutions, providing practical recommendations for long-tailed, multi-label medical image classification. Finally, we use these insights to propose a path forward involving vision-language foundation models for few- and zero-shot disease classification. © 2023, CC BY-NC-SA.

关键词： Computer aided diagnosis

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The forefront of chemical engineering research

Nature Chemical Engineering

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Nature Chemical Engineering 2024年第1期1卷 18-27页

作者： Laura Torrente-Murciano Jennifer B. dunn Panagiotis d. Christofides Jay d. Keasling Sharon C. Glotzer Sang Yup Lee Kevin M. Van Geem Jean Tom Gaohong He Department of Chemical Engineering and Biotechnology University of Cambridge Cambridge UK Chemical and Biological Engineering Center for Engineering Sustainability and Resilience Northwestern University Evanston IL USA Department of Chemical and Biomolecular Engineering University of California Los Angeles Los Angeles CA USA Department of Chemical & Biomolecular Engineering University of California Berkeley Berkeley CA USA Department of Bioengineering University of California Berkeley Berkeley CA USA California Institute of Quantitative Biosciences (QB3) University of California Berkeley Berkeley CA USA Division of Biological Systems and Engineering Lawrence Berkeley National Laboratory Berkeley CA USA Joint BioEnergy Institute Emeryville CA USA Center for Biosustainability Danish Technical University Lyngby Denmark Center for Synthetic Biochemistry Shenzhen Institutes for Advanced Technologies Shenzhen China Department of Chemical Engineering University of Michigan Ann Arbor MI USA Metabolic and Biomolecular Engineering National Research Laboratory Systems Metabolic Engineering and Systems Healthcare Cross-Generation Collaborative Laboratory Department of Chemical and Biomolecular Engineering (BK21 four) BioProcess Engineering Research Center Korea Advanced Institute of Science and Technology (KAIST) Daejeon Republic of Korea Laboratory for Chemical Technology Department of Materials Textiles and Chemical Engineering Faculty of Engineering and Architecture Ghent University Ghent Belgium Chemical Process Development Global Product Development and Supply Bristol Myers Squibb New Brunswick NJ USA State Key Laboratory of Fine Chemicals R&D Center of Membrane Science and Technology School of Chemical Engineering Panjin Institute of Industrial Technology Liaoning Key Laboratory of Chemical Additive Synthesis and Separation Dalian University of Technology Dalian Liaoning China

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MOF-based high-entropy-alloy evaporator featuring enhanced interband transitions for efficient solar steam and green electricity generation

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Chemical Engineering Journal 2025年 517卷

作者： dai, Chenyang Zhang, Jia-Han He, Cheng-Yu dai, rongrong Pan, Likun Yamauchi, Yusuke Zhang, Jing Li, Zhengtong Xu, Xingtao Marine Science and Technology College Zhejiang Ocean University Zhoushan316022 China Electronic-Photonic Smart Sensing Device R&D Team Inner Mongolia Key Laboratory of Intelligent Communication and Sensing and Signal Processing School of Electronic Information Engineering Inner Mongolia University Hohhot010021 China Research Center of Resource Chemistry and Energy Materials State Key Laboratory of Solid Lubrication Lanzhou Institute of Chemical Physics Chinese Academy of Sciences Lanzhou China Shanghai Key Laboratory of Magnetic Resonance School of Physics and Electronic Science East China Normal University Shanghai200026 China Department of Materials Process Engineering of Engineering Nagoya University Nagoya464-8603 Japan The University of Queensland BrisbaneQLD4072 Australia Department of Chemical and Biomolecular Engineering Yonsei University 50 Yonsei-ro Seodaemun-gu Seoul03722 Korea Republic of Ningbo Key Laboratory of Green Petrochemical Carbon Emission Reduction Technology and Equipment Zhejiang Institute of Tianjin University Zhejiang Ningbo315201 China State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering Yangtze Institute for Conservation and Development Hohai University Nanjing210098 China

Photothermal materials exhibiting broadband optical absorption and high energy efficiency are highly sought after in the field of solar-driven evaporation. Herein, we present a novel photothermal material derived from polymetallic metal–organic frameworks (MOFs) through a d-d interband transition (d-d IBT) engineering strategy. This approach enables comprehensive occupation of electronic states within ±4 eV relative to the Fermi level through 3d transition metal coordination, achieving an exceptional average solar absorption efficiency of over 97 % across the full solar spectrum (250–2500 nm). This breakthrough effectively overcomes the inherent wide bandgap limitation of MOFs that traditionally restricts their full-spectrum solar utilization. Leveraging its remarkable broadband sunlight harvesting capacity and ultrafast localized heating performance, this evaporator engineered with high-entropy alloy nanoparticles, achieves an evaporation efficiency surpassing 95% under one sun irradiation while maintaining a high evaporation rate of 2.80 kg m−2 h−1. Moreover, this evaporator demonstrates exceptional desalination efficiency even with high-salinity seawater (20 wt%), while the waste heat generated during operation can be strategically repurposed to produce green electricity, enhancing its sustainability profile. Thus, the FeCoNiMnCuAlZn high-entropy alloy nanoparticle-based photothermal evaporator offers innovative solutions for addressing the scarcity of clean water resources and the need for green energy. © 2025

关键词： Zinc alloys

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Evaluation of a Motion Seat System for reduction of a driver’s Passive Task-related (Tr) Fatigue

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Proceedings of the Human Factors and Ergonomics Society Annual Meeting 2018年第1期62卷 1843 - 1847页

作者： Seunghoon Lee Minjae Kim Sunwoo Choi Heecheon You Department of Industrial and Management Engineering Pohang University of Science and Technology Pohang South Korea Body Trim Development Team R&D Division Hyundai Motor Company Hwaseong South Korea

A passive task-related (Tr) fatigue that occurs monotonous driving environment can degrade driver's alertness and performance, thereby impairing driving safety. This study evaluated the driver's passive Tr fatigue reduction effect of the motion seat system in terms of driving performance, physiological response, and subjective fatigue. 17 Korean drivers (6 females and 11 males) measured the driving performance (standard deviation of lane position, SdLP; break reaction time, BrT), percentage of eye closure (PErCLOS), and standard deviation of NN interval (SdNN) of the ECG during simulated driving for 90 minutes on a monotonous highway. The evaluation of the driving consisted of the first half (45 min) and the second half (45 min), while static seat condition in the first half and seat motion (bow, wave motion profile) condition in the second half. during static seat condition driving, SdLP, BrT, and PErCLOS were significantly higher (α = .05) in the second half compared with first half by 6.0 cm, 92.8 msec and 1.3%, respectively. However, there was no significant difference between first half and second half under motion seat conditions. In addition, subjective passive mental fatigue was observed to be 1.2 times lower during motion seat conditions than static seat condition (p < 0.01). The results of this study indicated that motion seat system have some effect on the driver’s passive Tr fatigue reduction. Our findings may not extend to on road driving condition because we tested only simulation driving condition. Therefore, effect of motion seat system on driver’s passive Tr fatigue need to be evaluated in future studies under real road condition.

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New reverse converters for the four-moduli set {2n,2n-1,2n+1,2n-1-1} for n even

New Reverse converters for the four-moduli set {2n,2n-1,2n+1...

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Midwest Symposium on Circuits and Systems (MWSCAS)

作者： P. S. Phalguna dattaguru. V. Kamat P. V. Ananda Mohan Dept. of Electronics and Communication Engg Manipal Institute of Technology Manipal India Dept. of R&D Centre for Development of Advanced Computing Bengaluru India

In this paper, two reverse converters for the four-moduli set $\{2^{n},\ 2^{n}-1,\ 2^{n}+1,\ 2^{n-1}-1\}$ are described. One of these is based on Mixed radix Conversion (MrC). Another converter is based on two-stage MrC in which two pairs of moduli are considered and intermediate results are obtained using MrC. A second stage uses MrC to obtain the final decoded number from these intermediate results. Both the converters are compared with previously reported converter for this moduli set regarding hardware resources and conversion time. Synthesis results on FPGA and ASIC are also presented.

关键词： Hardware Computer architecture dynamic range Education Field programmable gate arrays Adders Logic gates

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P-138: rollable Multi-Touch Organic Capacitive Pressure Sensor for Multi-directional User Interactions

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SId Symposium digest of Technical Papers 2019年第1期50卷

作者： Akira Ebisui Hiroki Kaneko Kei Tsukamoto Tomoko Harada Tetsuro Goto Yoshiaki Sakakura Manami Miyawaki Hayato Hasegawa Ken Kobayashi Satoshi Sato Takahiro Kamei Kazumasa Nomoto Application Technology Development Div.1 R&D Center Sony Corporation New Business Development Dept. Sony Storage Media Solutions Corporation

We have developed a rollable multi-touch pressure sensor that works with a radius down to 5 mm, a high dynamic range of 1–300 kPa, and a spatial resolution down to 3 mm This was achieved using a novel sensor with an ... 详细信息

关键词： pressure sensor multi touch flexible organic highly sensitive high dynamic range no hysteresis user interface

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