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Super-Resolution Displacement Spectroscopic Sensing over a Surface“Rainbow”

engineering 2022年第10期17卷 75-81页

作者： Lyu Zhou Nan Zhang Chang Chieh Hsu Matthew Singer Xie Zeng Yizheng Li Haomin Song Josep Jornet Yun Wu Qiaoqiang Gan Department of Electrical Engineering The State University of New York at BuffaloBuffaloNY 14260USA Department of Biomedical Engineering The State University of New York at BuffaloBuffaloNY 14260USA Department of Electrical and Computer Engineering Northeastern UniversityBostonMA 02115USA Material Science Engineering Program King Abdullah University of Science and TechnologyThuwal 23955-6900Saudi Arabia

Subwavelength manipulation of light waves with high precision can enable new and exciting applications in spectroscopy,sensing,and medical *** these applications,miniaturized spectrometers are desirable to enable the on-chip analysis of spectral *** particular,for imaging-based spectroscopic sensing mechanisms,the key challenge is to determine the spatial-shift information accurately(i.e.,the spatial displacement introduced by wavelength shift or biological or chemical surface binding),which is similar to the challenge presented by super-resolution ***,we report a unique"rainbow"trapping metasurface for on-chip spectrometers and *** with super-resolution image processing,the low-setting 4×optical microscope system resolves a displacement of the resonant position within 35 nm on the plasmonic rainbow trapping metasurface with a tiny area as small as0.002 *** unique feature of the spatial manipulation of efficiently coupled rainbow plasmonic resonances reveals a new platform for miniaturized on-chip spectroscopic analysis with a spectral resolution of 0.032 nm in wavelength *** this low-setting 4×microscope imaging system,we demonstrate a biosensing resolution of 1.92×109exosomes per milliliter for A549-derived exosomes and distinguish between patient samples and healthy controls using exosomal epidermal growth factor receptor(EGFR)expression values,thereby demonstrating a new on-chip sensing system for personalized accurate bio/chemical sensing applications.

关键词： Rainbow trapping Metasurface Surface plasmon polaritons Super-resolution displacement On-chip biosensing

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Computer-Aided Diagnosis for Tuberculosis Classification with Water Strider Optimization Algorithm

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Computer Systems Science & engineering 2023年第8期46卷 1337-1353页

作者： José Escorcia-Gutierrez Roosvel Soto-Diaz Natasha Madera Carlos Soto Francisco Burgos-Florez Alexander Rodríguez Romany F.Mansour Department of Computational Science and Electronic Universidad de la CostaCUCBarranquilla080002Colombia Biomedical Engineering Program Universidad Simón BolívarBarranquilla080002Colombia Mechatronics Engineering Program Universidad Simón BolívarBarranquilla080002Colombia Department of Medicine Universidad del NorteBarranquilla081007Colombia Department of Mathematics Faculty of ScienceNew Valley UniversityEl-Kharga72511Egypt

Computer-aided diagnosis(CAD)models exploit artificial intelligence(AI)for chest X-ray(CXR)examination to identify the presence of tuberculosis(TB)and can improve the feasibility and performance of CXR for TB screening and *** the same time,CXR interpretation is a time-consuming and subjective ***,high resemblance among the radiological patterns of TB and other lung diseases can result in ***,computer-aided diagnosis(CAD)models using machine learning(ML)and deep learning(DL)can be designed for screening TB *** this motivation,this article develops a Water Strider Optimization with Deep Transfer Learning Enabled Tuberculosis Classification(WSODTL-TBC)model on Chest X-rays(CXR).The presented WSODTL-TBC model aims to detect and classify TB on CXR ***,the WSODTL-TBC model undergoes image filtering techniques to discard the noise content and U-Net-based image ***,a pre-trained residual network with a two-dimensional convolutional neural network(2D-CNN)model is applied to extract feature *** addition,the WSO algorithm with long short-term memory(LSTM)model was employed for identifying and classifying TB,where the WSO algorithm is applied as a hyperparameter optimizer of the LSTM methodology,showing the novelty of the *** performance validation of the presented WSODTL-TBC model is carried out on the benchmark dataset,and the outcomes were investigated in many *** experimental development pointed out the betterment of the WSODTL-TBC model over existing algorithms.

关键词： Computer-aided diagnosis water strider optimization deep learning chest x-rays transfer learning

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Enablers and Barriers of Omnichannel in Traditional Grocery Retailers

Enablers and Barriers of Omnichannel in Traditional Grocery ...

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2022 IEEE International Conference on Industrial engineering and engineering Management, IEEM 2022

作者： Febriani, Atik Sopha, Bertha Maya Wibisono, Muhammad Arif Institut Teknologi Telkom Purwokerto Industrial Engineering Program Faculty of Industrial Engineering and Design Purwokerto Indonesia Universitas Gadjah Mada Industrial Engineering Program Department of Mechanical and Industrial Engineering Yogyakarta Indonesia

ISBN: (数字)9781665486873

ISBN: (纸本)9781665486873

The development of information, communication, and technology (ICT) provides opportunities for traditional grocery retailers to expand their potential market share and competitiveness. The objective of omnichannel implementation in retail is to integrate the supply chain and sales channels. However, the approach has not been widely implemented yet. This paper presents enablers and barriers of omnichannel in traditional grocery retailers based on a narrative literature review. The main enabling factors are a customer-centric approach, balancing between agility and efficiency, and developments, while the barriers are a lack of limited resources and significant technological investment. At the end, a framework for implementing omnichannel in traditional grocery stores is suggested and discussed. © 2022 IEEE.

关键词： Supply chains

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Topology Optimization of Additive – Manufactured Autonomous Ground Vehicle Mount

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Recent Patents on engineering 2025年第6期19卷

作者： Al-Fahoum, Amjed Elsaaideh, Hamzah A. Biomedical Systems and Informatics Engineering Department Hijjawi Faculty for Engineering Technology Yarmouk University Irbid21163 Jordan Mechanical Engineering Department Al Hussein Technical University Amman Jordan

Introduction: The existence of substantial amounts of comparatively unused material inside a certain section indicates a deficiency in resource utilization. The existence of stress concentrations leads to a decrease in both the rigidity and durability of the component. Methods: Using finite element analysis (FEA), additive manufacturing (AM), and topology optimization (TO) together in this work led to a new patent for making a lightweight part for an unmanned ground vehicle (UGV). Topology optimization is crucial for improving the performance of additive manufacturing and achieving design goals. The process of engineering design frequently leads to mechanical design being characterized by heightened complexity and improved efficiency, owing to its need for exploration and iteration. Employing additive manufacturing and topological optimization methodologies, we developed the optimal prototype. Using ANSYS software makes it possible to change the engineering principle of topology optimization so that it works with additive manufacturing. At the same time, we are doing a full evaluation to see if adding topology optimization is possible, taking into account its pros and cons. Results: The results of the study reveal that the proposed intervention has the potential to address other stress-related illnesses. The preliminary design proposal projected a cost of 400 Jordanian dinars (JD). Conclusion: However, through the process of optimization, we successfully achieved the ultimate design at a reduced cost of 200 JD. The revised design not only provides cost savings but also exhibits greater eco-friendliness. © 2025 Bentham Science Publishers.

关键词： Machine design

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A Systematic Evaluation of Clustering Algorithms Against Expert-Derived Clustering

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Operations Research Forum 2025年第2期6卷 1-24页

作者： Mikrou, Ioannis Sapidis, Nickolas S. Department of Mechanical Engineering University of Western Macedonia ZEP Kozani 50100 Greece Postgraduate Masters Program “Quality Management and Technology” Hellenic Open University Par. Aristotelous 18 Patras 26335 Greece

Clustering algorithms have long sought to replicate human expertise in data clustering. This research utilizes six mechatronic products and a team of domain experts to assess how closely the results of six clustering algorithms align with expert-generated outcomes. This comparison of clustering results includes validation indices, the analysis of component migrations between the generated clusters, and optical inspection. The mechatronic products were selected for their complex nature, which provides a challenging context for the clustering analysis. The algorithms used in this research are Ward’s method (WARD), partitioning around medoids (PAM), K-means (K-MEANS), divisive analysis (DIANA), density-based spatial clustering of applications with noise (DBSCAN), and clustering by fast search and find of density peaks (DPC), and the validation indices employed to evaluate the clustering results are the silhouette coefficient (SC) and the composed density between and within clusters (CDbw). © The Author(s) 2025.

关键词： Clustering performance DSM models Human expert benchmarks Machine learning Mechatronics

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Low-Voltage Graphene Interface-Engineered Organic Ferroelectric Tunnel Junction Devices

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ACS Applied Materials and Interfaces 2025年第22期17卷 32773-32781页

作者： Natani, Shreyam Khajanji, Pranjali Cheng, Li Eshraghi, Kassra Zhang, Zichen Shipley, Wade Tao, Andrea R. Bandaru, Prabhakar R. Department of Mechanical Engineering University of California La Jolla San DiegoCA92093 United States Program in Materials Science University of California La Jolla San DiegoCA92093 United States

It has been indicated that the path forward for the widespread usage of ferroelectric (FE) materials may be considerably facilitated through the reduction of programming voltages to on-chip logic-compatible values of ... 详细信息

关键词： Ferroelectric materials

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Electric Vehicle Based Hybrid Energy Storage System using IoT 2

Electric Vehicle Based Hybrid Energy Storage System using Io...

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2nd International Conference on Smart Technologies for Smart Nation, SmartTechCon 2023

作者： Chandrasekaran, G. Venkatesh, M. Kanthimathi, T. Rathika, N. Sujatha, S. Department of Mechanical Engineering Sri Shanmugha College of Engineering and Technology Salem Tamil Nadu Sankari India Department of Electrical and Electronics Engineering Madanapalle Institute of Technology & Science Andhra Pradesh Madanapalle India Department of Mechanical Engineering Koneru Lakshmaiah Education Foundation Guntur Andhra Pradesh Vaddeswaram India Department of Electrical and Electronics Engineering Mahendra Institute of Technology Tamil Nadu Tiruchengode India Department of Biomedical Engineering Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Tamil Nadu Chennai India

ISBN: (纸本)9798350305418

Electric vehicles (EVs) have received a lot of attention in energy storage systems (ESSs). High power generation and applications for EVs both use hybrid renewable energy. The hybrid source, which includes a power supply with batteries and super capacitors, produces energy without any pollutants. The suggested bidirectional converter combines boost and buck operations, which minimizes voltage stress, simplifies the circuit, increases system performance, and lowers the cost of the system. The battery supplies the energy source to the connected motor load, which is used for EV applications. While peak discharging conditions, the battery life is affected due to the sudden increase in acceleration's impact on peak power consumption. The super capacitor-based backup energy storage system plays a part in overcoming this limitation. In order to maintain power between the source, battery, and load, a PI controller has been suggested to generate pulses for the converter switches. The Internet of Things (IoT) is very important for monitoring and controlling, and it also makes it possible to remotely log data for battery characteristics, conditions, etc. This paper enhances the ESS performance of EVs by reducing energy loss and monitoring the battery parameters using IoT to increase the battery life span. © 2023 IEEE.

关键词： Battery management system Bidirectional converter Electric vehicle Internet of things super capacitor

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Rheology modifiers in Fricke – gelatin dosimeters 12

Rheology modifiers in Fricke – gelatin dosimeters

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12th International Conference on 3D and Advanced Dosimetry, IC3DDose 2022

作者： Penev, Kalin I. Mequanint, Kibret Department of Chemical and Biochemical Engineering The University of Western Ontario London Canada Modus Medical Devices Inc. London Canada Biomedical Engineering Program The University of Western Ontario London Canada

Fricke gel dosimeters, while very sensitive and versatile, continue to suffer from one major issue – the diffusion of the dose signal. To tackle that problem, here we present the use of inert, linear polymers with very high molecular weights as rheology modifiers that can slow the diffusion in weak gels, based on 4% gelatin. At 0.2% loading of polyacrylamide (with mol. wt. 5×106 Da), a moderate, 20% decrease of the diffusion coefficient was achieved. This effect is compared to that of adding a crosslinker, such as glyoxal or increasing the concentration of gelatin by 1%. © 2023 Institute of Physics Publishing. All rights reserved.

关键词： Diffusion

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Turnaround Maintenance Projects in the Petrochemical Industry: A Bibliometric Review of Challenges and Opportunities

Turnaround Maintenance Projects in the Petrochemical Industr...

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International Conference on System Reliability and Science (ICSRS)

作者： Lehoelere Maserumule Flavia Masubelele Mfundo Nkosi Department of Mechanical Engineering Faculty of Engineering and Built Environment University of Johannesburg South Africa Department of Mechanical Bioresources and Biomedical Engineering College of Science Engineering and Technology University South Africa

ISBN: (数字)9798350354508

ISBN: (纸本)9798350354515

This study provides a review of the current state of research on TAM projects in the petrochemical industry, identifying key contributors, active publication sources, and challenges that need to be addressed for successful project execution. Utilizing R Studio software, bibliometric and content analysis were conducted on 63 research papers published between 2004 and 2024. The study identifies key challenges, including the need for improved risk management, enhanced collaboration among multidisciplinary teams, and the integration of advanced technologies. The results indicated the management of the shutdown process, risk management during the shutdown process and the resources intensive tasks as integral to TAM projects. This review highlights the need for ongoing research to address existing gaps and drive innovation in TAM practices, ultimately aiming to optimize maintenance strategies, improve operational safety, and ensure the long-term sustainability of the petrochemical industry.

关键词： Industries Technological innovation Reviews Bibliometrics Collaboration Petrochemicals Safety Maintenance Risk management Sustainable development

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Fluorine-Free Cosolvent Chemistry Empowering Sodium-Sulfurized Polyacrylonitrile Batteries

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Advanced Energy Materials 2025年第0期

作者： Pai, Min-Hao Manthiram, Arumugam Materials Science and Engineering Program & Walker Department of Mechanical Engineering The University of Texas at Austin AustinTX78712 United States

Localized high-concentration electrolytes (LHCE) show great promise for room-temperature sodium-sulfur batteries. However, the majority of diluents in LHCE systems consist of fluorinated ethers, which are not only dense and expensive but also demonstrate poor reductive stability with sodium metal. Herein, a low-density, non-fluorinated ether electrolyte is presented that demonstrates localized high-concentration behavior. This feature is driven by the weak solvating capabilities of 1,2-dimethoxypropane (DMP) and the ultra-weak solvating nature of cyclopentyl methyl ether (CPME). Impressively, the fluorine-free CPME cosolvent acts as a diluent within the electrolyte. Therefore, the electrolyte achieves a tailored solvation structure characterized by anion-rich species, which fosters the development of a resilient inorganic-rich SEI with superior Na-ion transport. Consequently, with a high sulfur-content sulfurized polyacrylonitrile (SPAN, S content > 45% in SPAN) loading of 4.4 mg cm⁻2 (sulfur loading: 2 mg cm⁻2) and a low electrolyte-to-SPAN ratio of 9 µL mg⁻¹ (E/SPAN = 9), the Na-SPAN cell demonstrates remarkable reversibility of 530 mA h gsulfur⁻¹ after 200 cycles at C/5 rate. This performance surpasses the majority of state-of-the-art Na-SPAN ether-based electrolyte systems reported to date. Hence, this work presents a novel approach for designing cost-effective, high-performance electrolytes for stable, practical Na-SPAN batteries. © 2025 Wiley-VCH GmbH.

关键词： Sodium-ion batteries

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