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23rd International Symposium on Communications and Information Technologies, ISCIT 2024

作者： Mekruksavanich, Sakorn Tancharoen, Datchakorn Jitpattanakul, Anuchit School of Information and Communication Technology University of Phayao Department of Computer Engineering Phayao Thailand Panyapiwat Institute of Management Faculty of Engineering and Technology Nonthaburi Thailand Intelligent and Nonlinear Dynamic Innovations Research Center King Mongkut's University of Technology North Bangkok Department of Mathematics Faculty of Applied Science Bangkok Thailand

ISBN: (纸本)9798350353952

Recognition of human activities using wearable sensors is essential for applications related to health and well-being. However, the complex data captured by inertial sensors poses challenges in accurately identifying actions. This research introduces MotionNeXt, a residual deep neural network incorporating aggregated transformation. MotionNeXt utilizes residual and multi-kernel blocks to extract spatial and temporal characteristics from raw IMU data. Subsequently, it employs global average pooling, a fully connected layer, and softmax for classification purposes. An attention layer enables the model to focus on specific segments of the input sequence while categorizing each time step. MotionNeXt is evaluated using a publicly available dataset of activities collected from wearable inertial measurement devices. It achieves state-of-the-art accuracy, boasting an F1-score of 99.37%, surpassing previous deep learning methods by 2- 5%. By integrating accelerometer, gyroscope, and magnetometer modalities, MotionNeXt mitigates the limitations of individual inputs, significantly improving accuracy across various models. © 2024 IEEE.

关键词： Deep neural networks

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Non-Enzymatic Electrochemical Sensing of Bisphenol A in Drinking Water and Milk Using Bimetallic Nickel-Copper Metal–Organic Framework

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Journal of Analysis and Testing 2024年第4期8卷 451-465页

作者： Baban Dey Md.Wasi Ahmad Refat Al-Shannaq Jehan Y.Al-Humaidi S.K.Safdar Hossain Chandra N.Patra Raed H.Althomali Mohammed M.Rahman Arup Choudhury Department of Chemical Engineering Birla Institute of TechnologyRanchi835215India Department of Chemical Engineering College of EngineeringDhofar UniversityP.O.Box 2509Salalah211Sultanate of Oman Department of Chemistry College of SciencePrincess Nourah Bint Abdulrahman UniversityP.O.BOX 84428Riyadh11671Saudi Arabia Department of Chemical Engineering College of EngineeringKing Faisal UniversityP.O.Box 380Al-Ahsa31982Saudi Arabia Analytical Chemistry Division Chemistry GroupBhabha Atomic Research CentreMumbai400085India Homi Bhabha National Institute AnushaktanagarMumbai400094India Department of Chemistry College of Art and SciencePrince Sattam Bin Abdulaziz UniversityWadi Al-DawasirAl Kharj11991Saudi Arabia Center of Excellence for Advanced Materials Research(CEAMR)& Department of ChemistryFaculty of ScienceKing Abdulaziz UniversityJeddah21589Saudi Arabia

In recent years,there have been concerns about the toxicity of bisphenol A(BPA)in food packaging materials due to the potential endocrine disrupting effects it may have on humans,especially children and *** this present investigation,a free-standing nickel-copper pyridine-2,6-dicarboxylic acid(PDA)metal organic framework(MOF)anchored carbon nanofiber paper(Ni-Cu(PDA)MOF/CNF)was synthesized for the sensing and quantify the BPA analytes in milk and ***-prepared bimetallic MOF hybrid materials are extremely porous,hydrophilic in nature with a huge surface *** allows for the easy pathway of analyte molecules,which react with the redox-active metal sites of MOF matrix and enhance the *** electrocatalysis reaction,various functional groups present in the MOF system can also act as dynamic adsorption *** the neutral medium(pH=7.0),the Ni-Cu(PDA)MOF/CNF modified glassy carbon electrode(Ni-Cu(PDA)MOF/CNF/GCE)ascertained good catalytic activity and strong electrochemical sensitivity toward BPA with higher sensitivity value and lower limit of detection(LOD)*** irreversible and diffusion-controlled oxidation reactions of BPA were *** bimetallic MOF modified electrode displayed an extensive linear ranging from 1 to 150μmol/L with a LOD of 75 n mol/L for BPA *** MOF anchored electrode displayed exceptional anti-interference property,reproducibility and good storage stability up to one *** is notable that the Ni-Cu(PDA)MOF/CNF/GCE has proved the competence of detecting BPA in milk and drinking water samples,which displayed satisfactory outcomes with chromatographic analysis.

关键词： Nickel-copper MOF Carbon nanofiber Electrochemical sensor Limit of detection Bisphenol A

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Electron Transportation engineering for Record High External Quantum Efficiency of 16.8% for Quantum Rod Light-Emitting Diodes

Electron Transportation Engineering for Record High External...

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SID International Symposium Digest of Technical Papers, 2023

作者： Mallem, Kumar Prodanov, Maksym F. Liao, Zebing Kang, Chengbin Vashchenko, Valeri V. Srivastava, Abhishek K. State Key Laboratory on Advanced Displays and Optoelectronics Technologies and Centre for Display Research Department of Electronics and Computer Engineering The Hong Kong University of Science and Technology Clear Water Bay Kowloon999077 Hong Kong IAS Center for Quantum Technologies The Hong Kong University of Science and Technology Hong Kong

The semiconductor quantum rods (QRs) offer unique benefits that differ from the spherical QDs, such as linearly polarized light and higher light outcoupling efficiency, which can double the external quantum efficiency of the light-emitting diodes (LEDs). Despite having many potential advantages, the QRs are not well explored as QDs in electroluminescent LEDs. In this work, we synthesized CdSe/CdS QRs and verified them in QR-based LEDs. The charge injection into the QRLEDs is precisely controlled to get the maximum charge balance in the device to improve the device's efficiency. We achieved an EQE of 16.8%, which is the highest EQE reported for QRLEDs. The turn-on voltage, peak luminance, and current efficiency (CE) of the QRLEDs are 2.2 V, 10000 cd/m^2, and 11.6%, respectively. The electron injection does not influence the device turn-on voltage but severely impacts the QRLEDs brightness, EQE and CE. The spin coated QRs film has small voids on the surface, which needs to be optimized further to improve the QRLEDs efficiency. Overall, these findings have insightful information on QRLEDs fabrication, which can open up a new opportunity for device applications. © 2023, John Wiley and Sons Inc. All rights reserved.

关键词： II-VI semiconductors

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A NovelMethod for Determining Tourism Carrying Capacity in a Decision-Making Context Using q−Rung Orthopair Fuzzy Hypersoft Environment

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computer Modeling in engineering & sciences 2024年第2期138卷 1951-1979页

作者： Salma Khan Muhammad Gulistan NasreenKausar Seifedine Kadry Jungeun Kim Department of Mathematics and Statistics Hazara UniversityMansehra21120Pakistan Department of Mathematics Faculty of Arts and SciencesYildiz Technical UniversityEsenlerIstanbul34210Turkey Department of Applied Data Science Noroff University CollegeKristiansand4612Norway Artificial Intelligence Research Center(AIRC) Ajman UniversityAjman346United Arab Emirates Department of Electrical and Computer Engineering Lebanese American UniversityP.O.Box 13-5053ByblosLebanon Department of Software and CMPSI Konju National UniversityCheonan31080Korea

Tourism is a popular activity that allows individuals to escape their daily routines and explore new destinations for various reasons,including leisure,pleasure,or business.A recent study has proposed a unique mathematical concept called a q−Rung orthopair fuzzy hypersoft set(q−ROFHS)to enhance the formal representation of human thought processes and evaluate tourism carrying *** approach can capture the imprecision and ambiguity often present in human *** the advanced mathematical tools in this field,the study has also incorporated the Einstein aggregation operator and score function into the q−ROFHS values to supportmultiattribute decision-making *** implementing this technique,effective plans can be developed for social and economic development while avoiding detrimental effects such as overcrowding or environmental damage caused by tourism.A case study of selected tourism carrying capacity will demonstrate the proposed methodology.

关键词： q−Rung orthopair fuzzy hypersoft set decision-making tourism carrying capacity aggregation operator

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Measuring 3D Chemistry at 1 nm Resolution with Fused Multi-Modal Electron Tomography

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Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada 2023年第1期29卷 1394-1395页

作者： Schwartz, Jonathan Di, Zichao Wendy Jiang, Yi Cho, Min Gee Qian, Yiwen Gu, Junsi Rozeveld, Steve Ercius, Peter Fessler, Jeffrey A. Xu, Ting Scott, Mary Hovden, Robert Department of Materials Science and Engineering University of Michigan Ann Arbor MI United States Mathematics and Computer Science Division Argonne National Laboratory Lemont IL United States Advanced Photon Source Argonne National Laboratory Lemont IL United States Department of Materials Science and Engineering University of California at Berkeley Berkeley CA United States National Center for Electron Microscopy Lawrence Berkeley National Laboratory Berkeley CA United States Dow Chemical Co. Midland MI United States Department of Electrical Engineering and Computer Science University of Michigan Ann Arbor MI United States Materials Science Division Lawrence Berkeley National Laboratory Berkeley CA United States Applied Physics Program University of Michigan Ann Arbor MI United States

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Investigating explainable transfer learning for battery lifetime prediction under state transitions

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escience 2024年第5期4卷 132-142页

作者： Tianze Lin Sihui Chen Stephen JHarris Tianshou Zhao Yang Liu Jiayu Wan Global Institute of Future Technology Shanghai Jiao Tong UniversityNo.800 Dongchuan RoadShanghai 200240China Department of Mechanical and Energy Engineering Southern University of Science and TechnologyShenzhen 518055China SUSTech Energy Institute for Carbon Neutrality Southern University of Science and TechnologyShenzhen 518055China Energy Storage and Distributed Resources Division Lawrence Berkeley National LabBerkeleyCA 94720USA Data Science Research CenterDuke Kunshan UniversityNo.8 Duke AvenueKunshan 215316China Center for Advanced Energy System and Reliability Shanghai Jiao Tong UniversityNo.800 Dongchuan RoadShanghai 200240China

Battery lifetime prediction at early cycles is crucial for researchers and manufacturers to examine product quality and promote technology *** learning has been widely utilized to construct data-driven solutions for high-accuracy ***,the internal mechanisms of batteries are sensitive to many factors,such as charging/discharging protocols,manufacturing/storage conditions,and usage *** factors will induce state transitions,thereby decreasing the prediction accuracy of data-driven *** learning is a promising technique that overcomes this difficulty and achieves accurate predictions by jointly utilizing information from various ***,we develop two transfer learning methods,Bayesian Model Fusion and Weighted Orthogonal Matching Pursuit,to strategically combine prior knowledge with limited information from the target dataset to achieve superior prediction *** our results,our transfer learning methods reduce root-mean-squared error by 41%through adapting to the target ***,the transfer learning strategies identify the variations of impactful features across different sets of batteries and therefore disentangle the battery degradation mechanisms and the root cause of state transitions from the perspective of data *** findings suggest that the transfer learning strategies proposed in our work are capable of acquiring knowledge across multiple data sources for solving specialized issues.

关键词： Battery life prediction Transfer learning State transitions Explainability Degradation mechanism

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Mixed Contact Problem for the Lamé System with Piecewise Constant Main Coefficients

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Journal of Mathematical sciences (United States) 2023年第1期276卷 168-190页

作者： Vuong, Tran Quang Soldatov, A.P. Dalat University Lam Dong Da Lat Viet Nam Federal Research Center “Computer Science and Control” RAS 40 Vavilova St. Moscow 119333 Russian Federation Moscow Center for Fundamental and Applied Mathematics National Research University “Moscow Power Engineering Institute” 14 Krasnokazarmennaya St. Moscow 111250 Russian Federation

We construct the fundamental matrix of solutions to the Lamé system with constant main coefficients in the general anisotropic case. Using the fundamental matrix, we obtain an integral representation of functions of a Hölder class in a closed domain with Lyapunov boundary. In the case of an infinite domain, the representation is described within the framework of weighted Hölder spaces (of functions with power behavior at infinity). Based on this representation, we can reduce the mixed contact boundary value problem for the Lamé system with piecewise constant main coefficients to a system of integral equations that are Fredholm in the domain and are singular on the boundary. As a result, we establish a Fredholm criterion and indicate the index for this problem. © 2023, Springer Nature Switzerland AG.

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Predicting entropy and heat capacity of hydrocarbons using machine learning

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Energy and AI 2021年第2期4卷 161-171页

作者： Mohammed N.Aldosari Kiran K.Yalamanchi Xin Gao S.Mani Sarathy Clean Combustion Research Center Physical Sciences and Engineering DivisionKing Abdullah University of Science and Technology(KAUST)Thuwal 23955Saudi Arabia Computational Bioscience Research Center ComputerElectrical and Mathematical Sciences and Engineering DivisionKing Abdullah University of Science and Technology(KAUST)Thuwal 23955Saudi Arabia

Chemical substances are essential in all aspects of human life,and understanding their properties is essential for developing chemical *** properties of chemical species can be accurately obtained by experiments or ab initio computational calculations;however,these are time-consuming and *** this work,machine learning models(ML)for estimating entropy,S,and constant pressure heat capacity,Cp,at 298.15 K,are developed for alkanes,alkenes,and *** training data for entropy and heat capacity are collected from the *** descriptors generated using alvaDesc software are used as input features for the ML *** vector regression(SVR),v-support vector regression(v-SVR),and random forest regression(RFR)algorithms were trained with K-fold cross-validation on two *** first level assessed the models’performance,and the second level generated the final *** the three ML models chosen,SVR shows better performance on the test *** SVR model was then compared against traditional Benson’s group additivity to illustrate the advantages of using the ML ***,a sensitivity analysis is performed to find the most critical descriptors in the property estimations.

关键词： Entropy Heat capacity Molecular descriptors Machine learning Supervised learning Hydrocarbons

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Bacterial population dynamics and biosafety assessment in a closed Bioregenerative Life Support System during the “Lunar Palace 365” experiment

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science China Life sciences 2025年

作者： Yuming Fu Yueying Lu Jianlou Yang Hong Liu Key Laboratory of Biomechanics and Mechanobiology (Beihang University) Ministry of EducationKey Laboratory of Innovation and Transformation of Advanced Medical DevicesMinistry of Industry and Information TechnologyNational Medical Innovation Platform for Industry-Education Integration in Advanced Medical Devices (Interdiscipline of Medicine and Engineering)School of Biological Science and Medical EngineeringBeihang University State Key Laboratory of Virtual Reality Technology and Systems School of Computer Science and EngineeringBeihang University International Joint Research Center of Aerospace Biotechnology&Medical Engineering Beihang University School of Sport Management Shandong Sport University Innovation Center for Medical Engineering&Engineering Medicine Hangzhou International Innovation InstituteBeihang University

Our study investigates the dynamic variation of bacterial populations within the Bioregenerative Life Support System(BLSS), a critical component for sustainable habitats in extraterrestrial environments supporting human survival. We utilized the ground-based BLSS test platform, referred to as “Lunar Palace 1”(LP1), to examine bacterial dynamics in an ecosystem integrating plant production, human cultivation, and equipment maintenance. Our findings reveal distinct bacterial compositions among crew members and functional areas within the LP1 system while preserving temporal stability across the 370-day experiment. Importantly, we observed a low abundance of potential pathogens, minimal antibiotic resistance, and negligible impact of the isolated bacterial strains on equipment materials, suggesting favorable biosafety attributed to plant integration. Our work enhances the understanding of microbial communities in BLSS and underscores the importance of incorporating green plants to bolster environmental biosafety and sustainability in long-term space exploration missions.

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Van der Waals device integration beyond the limits of van der Waals forces using adhesive matrix transfer

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Nature Electronics 2024年第1期7卷 17-28页

作者： Satterthwaite, Peter F. Zhu, Weikun Jastrzebska-Perfect, Patricia Tang, Melbourne Spector, Sarah O. Gao, Hongze Kitadai, Hikari Lu, Ang-Yu Tan, Qishuo Tang, Shin-Yi Chueh, Yu-Lun Kuo, Chia-Nung Lue, Chin Shan Kong, Jing Ling, Xi Niroui, Farnaz Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology CambridgeMA United States Research Laboratory of Electronics Massachusetts Institute of Technology CambridgeMA United States Department of Chemical Engineering Massachusetts Institute of Technology CambridgeMA United States Department of Physics Massachusetts Institute of Technology CambridgeMA United States Department of Chemistry Boston University BostonMA United States Department of Materials Science and Engineering National Tsing Hua University Hsinchu Taiwan Semiconductor Research Center Hon Hai Research Institute Taipei Taiwan College of Semiconductor Research National Tsing Hua University Hsinchu Taiwan Department of Physics National Cheng Kung University Tainan Taiwan Taiwan Consortium of Emergent Crystalline Materials National Science and Technology Council Taipei Taiwan Program on Key Materials Academy of Innovative Semiconductor and Sustainable Manufacturing National Cheng Kung University Tainan Taiwan Division of Materials Science and Engineering Boston University BostonMA United States The Photonics Center Boston University BostonMA United States

Pristine van der Waals (vdW) heterostructures formed between two-dimensional (2D) and other materials can be used to create optical and electronic devices. However, the weak vdW forces alone do not allow direct physical stacking of arbitrary layers. As a result, vdW heterostructure fabrication typically requires solvents, sacrificial layers or high temperatures, which can introduce damage and contaminants. Here, we show that adhesive matrix transfer can eliminate these limitations and can provide vdW integration beyond the limits of vdW forces. In the approach, a hybrid high- and low-adhesion surface is used to decouple the forces driving the transfer from the vdW forces defining the heterostructure of interest. We show that the technique can be used to achieve direct vdW integration of diverse 2D materials (MoS2, WSe2, PtS2 and GaS) with dielectrics (SiO2 and Al2O3), which is conventionally forbidden but critical for active devices and scalable, aligned heterostructure formation. The approach also allows single-step 2D material-to-device integration, which we illustrate by fabricating arrays of monolayer MoS2 transistors. As any exposure to solvents or polymers is avoided, the interfaces and surfaces remain pristine. Thus, intrinsic 2D material properties can be probed without the influence of processing steps. The materials can be further engineered through surface treatments and used to fabricate unconventional device form factors. © 2023, The Author(s), under exclusive licence to Springer Nature Limited.

关键词： Van der Waals forces

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