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Semi-analytical finite element method applied for characterizing micropolar fibrous composites

Applied Mathematics and Mechanics(English Edition) 2024年第12期45卷 2147-2164页

作者： J.A.OTERO Y.ESPINOSA-ALMEYDA R.RODRIGUEZ-RAMOS J.MERODIO School of Engineering and Sciences Monterrey Institute of TechnologyEstado de Mexico 52926Mexico Institute of Engineering and Technology Autonomous University of Ciudad JuarezCiudad JuarezChihuahua 32310Mexico Postgraduate Program in Computational Modeling in Science and Technology Federal Fluminense UniversityRıo de Janeiro 27255-125Brazil Faculty of Mathematics and Computer Science University of HavanaLa Habana 10400Cuba Department of Mathematics Applied to ICT School of Informatics Systems EngineeringTechnical University of MadridMadrid 28031Spain

A semi-analytical finite element method(SAFEM),based on the two-scale asymptotic homogenization method(AHM)and the finite element method(FEM),is implemented to obtain the effective properties of two-phase fiber-reinforced composites(FRCs).The fibers are periodically distributed and unidirectionally aligned in a homogeneous *** framework addresses the static linear elastic micropolar problem through partial differential equations,subject to boundary conditions and perfect interface contact *** mathematical formulation of the local problems and the effective coefficients are presented by the *** local problems obtained from the AHM are solved by the FEM,which is denoted as the *** numerical results are provided,and the accuracy of the solutions is analyzed,indicating that the formulas and results obtained with the SAFEM may serve as the reference points for validating the outcomes of experimental and numerical computations.

关键词： semi-analytical approach fiber-reinforced composite(FRC) effective property finite element method(FEM) asymptotic homogenization method(AHM) micropolar elasticity

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A self-driven photodetector based on a SnS_(2)/WS_(2) van der Waals heterojunction with an Al_(2)O_(3) capping layer

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Chinese Physics B 2023年第1期32卷 585-591页

作者：王祥骏林钰恒刘潇邓煊华贲建伟俞文杰朱德亮刘新科 College of Materials Science and Engineering Institute of Microelectronics(IME)Guangdong Research Center for Interfacial Engineering of Functional MaterialsShenzhen UniversityShenzhen 518060China State Key Laboratory of Functional Materials for Informatics Shanghai Institute of Microsystem and Information TechnologyChinese Academy of SciencesShanghai 200050China

Photodetectors based on two-dimensional(2D) materials have attracted considerable attention because of their unique properties. To further improve the performance of self-driven photodetectors based on van der Waals heterojunctions, a conductive band minimum(CBM) matched self-driven SnS_(2)/WS_(2) van der Waals heterojunction photodetector based on a SiO2/Si substrate has been designed. The device exhibits a positive current at zero voltage under 365 nm laser *** is attributed to the built-in electric field at the interface of the SnS_(2) and WS_(2) layer, which will separate and transport the photogenerated carriers, even at zero bias voltage. In addition, the Al_(2)O_(3) layer is covered by the surface of the SnS_(2)/WS_(2) photodetector to further improve the performance, because the Al_(2)O_(3) layer will introduce tensile stress on the surface of the 2D materials leading to a higher electron concentration and smaller effective mass of electrons in the films. This work provides an idea for the research of self-driven photodetectors based on a van der Waals heterogeneous junction.

关键词： SnS_(2)/WS_(2)heterogeneous junction Al_(2)O_(3)layer self-driven photodetector

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Tight Bounds on List-Decodable and List-Recoverable Zero-Rate Codes 16

Tight Bounds on List-Decodable and List-Recoverable Zero-Rat...

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16th Innovations in Theoretical Computer Science Conference, ITCS 2025

作者： Resch, Nicolas Yuan, Chen Zhang, Yihan Informatics’ Institute University of Amsterdam Netherlands School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University China Institute of Science and Technology Austria Klosterneuburg Austria

ISBN: (纸本)9783959773614

In this work, we consider the list-decodability and list-recoverability of codes in the zero-rate regime. Briefly, a code C Ď rqsn is (p, , L)-list-recoverable if for all tuples of input lists (Y1, . . ., Yn) with each Yi Ď rqs and |Yi| ", the number of codewords c P C such that ci R Yi for at most pn choices of i P rns is less than L;list-decoding is the special case of "1. In recent work by Resch, Yuan and Zhang (ICALP 2023) the zero-rate threshold for list-recovery was determined for all parameters: that is, the work explicitly computes p*:"p*(q, , L) with the property that for all Ε ą 0 (a) there exist positive-rate (p* - Ε, , L)-list-recoverable codes, and (b) any (p* + Ε, , L)-list-recoverable code has rate 0. In fact, in the latter case the code has constant size, independent on n. However, the constant size in their work is quite large in 1/Ε, at least |C| ě (1Ε)O(qL). Our contribution in this work is to show that for all choices of q, and L with q ě 3, any (p* + Ε, , L)-list-recoverable code must have size Oq,,L(1/Ε), and furthermore this upper bound is complemented by a matching lower bound Ωq,,L(1/Ε). This greatly generalizes work by Alon, Bukh and Polyanskiy (IEEE Trans. Inf. Theory 2018) which focused only on the case of binary alphabet (and thus necessarily only list-decoding). We remark that we can in fact recover the same result for q "2 and even L, as obtained by Alon, Bukh and Polyanskiy: we thus strictly generalize their work. Our main technical contribution is to (a) properly define a linear programming relaxation of the list-recovery condition over large alphabets;and (b) to demonstrate that a certain function defined on a q-ary probability simplex is maximized by the uniform distribution. This represents the core challenge in generalizing to larger q (as a binary simplex can be naturally identified with a one-dimensional interval). We can subsequently re-utilize certain Schur convexity and convexity properties established for a related function

关键词： Decoding

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Improved Processing Circuit for MEMS Accelerometer as a Respiration Sensor 7

Improved Processing Circuit for MEMS Accelerometer as a Resp...

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7th International Conference on Advances in Biomedical engineering, ICABME 2023

作者： Al-Zaben, Awad Al-Naami, Bassam Al-Omari, Ghadeer Yarmouk University Hijjawi Faculty for Engineering Technology Biomedical Systems and Medical Informatics Department Jordan Engineering College Hashemaite University Biomedical Engineering Department Jordan

ISBN: (纸本)9798350325850

Capturing respiration signal using a microelectromechanical (MEMS) accelerometer is a challenging task. The design of the interface circuit of the sensor must consider the characteristics of the respiration signal resulting from abdominal movement. It is mainly characterized by very low magnitude and low-frequency contents. Hence, any DC offset or drift in the sensor's response is a key design factor of the circuit. In addition, the OnChip processing circuit of the sensor itself may introduce DC offset and limit the lower range of the frequency response. This paper presents a design and implementation of a signal processing interface circuit that can be used to process MEMS accelerometer output to capture respiration signals. The circuit consists of a low pass filter that captures the DC component of the signal, then a differential amplifier that subtracts the estimated DC component from the signal followed by amplification. The circuit is self-calibrated by the position of the sensor. The circuit diagram, evaluation results, and validation of the circuit are presented in this paper. © 2023 IEEE.

关键词： Accelerometers

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AI-Based Wearable Sensing: A Technological Intervention to Physiological Monitoring and Early Detection of Pandemic Diseases

AI-Based Wearable Sensing: A Technological Intervention to P...

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2024 International Conference on Information and Communication technology for Development for Africa, ICT4DA 2024

作者： Tito, Stanley Leonard Banzi, Jamal F. Mbeya University of Science and Technology Department of Computer Science and Engineering Mbeya Tanzania United Republic of Sokoine University of Agriculture Department of Informatics and Information Technology Morogoro Tanzania United Republic of

ISBN: (纸本)9798331527792

The COVID-19 pandemic has drastically left the world with a profound impact that will resonate for years to come. The devastating loss of lives, the dramatic decline in economic output, and the disruption of social interactions have all contributed to a sudden shift in our global landscape. Monitoring COVID-19 symptoms has become essential in controlling the spread of the virus and preventing hospitalizations. This paper presents an innovative solution that leverages advanced wearable technology integrated with cutting-edge artificial intelligence (AI) algorithms to monitor biometric signals associated with the presence of COVID-19 and other pandemic diseases. For persistent monitoring, the system is designed to acquire biometric signals such as temperature, heart rate, and blood oxygen saturation from wearable devices, which are considered as input to the long short-term memory (LSTM) network. The model will then reconstruct the signals, process them, and predict the health status of the patient with respect to the COVID-19 pandemic. Experiments were conducted to evaluate the performance of the system using two parameters i.e. temperature and heart rates. The system's performance was compared to a certified medical station, and both heart rate and temperature parameter tests obtained good correlation (R=0. 73 and R=0. 96 respectively). This indicates the feasibility of the proposed system in early prediction of the presence of COVID-19, representing a crucial step forward in our efforts to build a more resilient and prepared world to navigate the challenges posed by the ever-present threat of future epidemics and pandemics. © 2024 IEEE.

关键词： Heart

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Predicting Student Attrition: A Case Study of the University of Namibia Bachelor of Accounting (Chartered Accountancy) Programme

Predicting Student Attrition: A Case Study of the University...

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2023 International Conference on Emerging Trends in Networks and Computer Communications, ETNCC 2023

作者： Nakale, Samuel Nghidengwa Amugongo, Lameck Mbangula Namibia University of Science and Technology Department of Informatics Journalism & Media Technology Windhoek Namibia Namibia University of Science and Technology Department of Software Engineering Windhoek Namibia

ISBN: (纸本)9798350314878

Understanding the reasons behind student attrition is essential to developing retention strategies. In this study, we developed models to predict student attrition for the Chartered Accountancy programme at the University of Namibia (UNAM). Three hundred and eighty-nine records of accounting students were collected from the UNAM student database. We applied five classification machine learning algorithms: logistic regression (LR), support vector machines (SVM), k-nearest neighbors (k-NN), decision trees (DT) and Gaussian Naive Bayes (GNB) to identify patterns in student attrition. After, accuracy, specificity, sensitivity, F-measure and Area Under Curve were computed to measure the performance of each model. Finally, Shapley additive explanations (SHAP) was used to determine how variables influenced model prediction. The LR, k-NN, DT, SVM and GNB achieved an accuracy of 80.3%, 73.8%, 82%, 80.3% and 77%, respectively. Overall, the DT classifier performed the best at predicting student attrition. We found that academic performance in year 1 core modules: financial accounting A and financial accounting B were the most important features, on average contributing the most to the predicted probability of dropping out. We have demonstrated that it is feasible to predict students who are likely to abandon their studies while in their first year. The major difference between our study and previous studies is that we do not focus on traditional studied areas (science, technology, engineering and mathematics). In this study, we developed predictive models to identify student attrition in the bachelor of accounting program in a Namibian university. © 2023 IEEE.

关键词： Forecasting

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Assessing Temperature Sensitivity and Ring Oscillator Count Impact on Configurable Ring Oscillator PUF Performance

Assessing Temperature Sensitivity and Ring Oscillator Count ...

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Mediterranean Conference on Embedded Computing (MECO)

作者： Husam Kareem Oliver Krammer Dmitriy Dunaev Department of Automation and Applied Informatics Faculty of Electrical Engineering and Informatics Budapest University of Technology and Economics Budapest Hungary Department of Electronics Technology Faculty of Electrical Engineering and Informatics Budapest University of Technology and Economics Budapest Hungary

ISBN: (数字)9798350387568

ISBN: (纸本)9798350387575

Physically Unclonable Functions (PUFs) have been introduced as highly promising hardware primitives for key-based security applications. A PUF can be thought of as a hardware fingerprint that is able to produce a device-specific key for utilization in applications involving device identification and cryptographic key-based security. Among various PUF approaches, the ring oscillator (RO) PUF stands out as the most common PUF design due to its simple implementation and high-performance features. However, RO-PUFs are often classified as weak PUFs due to their limited input-output combinations, commonly referred to as challenge-response pairs within the scope of PUFs. Increasing the CRPs size of traditional RO-PUF results in a proportional growth in the hardware requirements for the RO-PUF design. This correlation arises from the linear relationship between the CRPs size and the hardware resources necessary for the RO-PUF design. Configurable RO-PUF emerged as a solution that expands the CRPs size without a substantial hardware increase. This study evaluates the performance reliability of CRO-PUF across various temperatures. Additionally, we explore the impact of altering the ring oscillators count on the CRO-PUF's performance.

关键词： Ring oscillators Temperature sensors Embedded computing Sensitivity Fingerprint recognition Reliability engineering Physical unclonable function

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Minimum-Order Exosystem-Model-Based Disturbance Observer

Minimum-Order Exosystem-Model-Based Disturbance Observer

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2025 SICE International Symposium on Control Systems, SICE ISCS 2025

作者： Shikada, Kana Kawata, Masakatsu Sebe, Noburu Kyushu Institute of Technology Department of Creative Informatics Fukuoka Japan National Institute of Technology Kitakyushu College Department of Creative Engineering Fukuoka Japan Kyushu Institute of Technology Department of Intelligent and Control Systems Fukuoka Japan

ISBN: (纸本)9784907764852

This paper considers a minimum-order observer for the augmented system consisting of the nominal plant model and disturbance generating model (exosystem model). This paper shows that this minimum-order exosystem-model-based observer acts as a disturbance observer. Shikada and Sebe showed that the inverse-model-based disturbance observer can be realized as a full-order Luenberger-type observer for the nominal model. On the other hand, the exosystem-model-based disturbance observer is a full-order observer for the augmented system consisting of the nominal plant model and the exosystem model. Accordingly, the order of the exosystem-model-based disturbance observer is higher than that of the inverse-model-based disturbance observer. The minimum-order exosystem-model-based disturbance observer considered in this paper fills the gap of the difference in order. Furthermore, this paper also clarifies the one-to-one correspondence to the Luenberger-type disturbance observer for the nominal plant model. This correspondence shows that the minimum-order exosystem-model-based disturbance observer can achieve the same characteristics as the inverse-model-based disturbance observer. © 2025 The Society of Instrument and Control Engineers.

关键词： Robust control

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Genetic Programming and Coevolution to Play the Bomberman™ Video Game 26th

Genetic Programming and Coevolution to Play the Bomberman...

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26th International Conference on Applications of Evolutionary Computation, EvoApplications 2023, held as part of EvoStar 2023

作者： Gold, Robert Branquinho, Henrique Hemberg, Erik O’Reilly, Una-May García-Sánchez, Pablo ALFA MIT CSAIL Cambridge United States Centre for Informatics and Systems of the University of Coimbra Department of Informatics Engineering University of Coimbra Coimbra Portugal Department of Computer Architecture and Computer Technology University of Granada Granada Spain

ISBN: (纸本)9783031302282

The field of video games is of great interest to researchers in computational intelligence due to the complex, rich and dynamic nature they provide. We propose using Genetic Programming with coevolution and lexicographic fitness to generate an agent that plays the Bomberman™game. We investigate two sets of Genetic Programming building blocks: one contains conditions relative to movement, and the other does not. We aim to see whether the benefits of these movement-related conditions outweigh the negatives caused by increased search space size. We show that the benefits gained do not outweigh the increase in search space size. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Genetic programming

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MMDDI-MGPFF: Multi-Modal Drug Representation Learning with Molecular Graph and Pharmacological Feature Fusion for Drug-Drug Interaction Event Prediction

MMDDI-MGPFF: Multi-Modal Drug Representation Learning with M...

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2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024

作者： Wang, Guishen Guo, Zhitong You, Guilin Xu, Ming Cao, Chen Hu, Xiaowen School of Life Sciences Jilin University Changchun China College of Computer Science and Engineering Changchun University of Technology Changchun China Key Laboratory for Bio-Electromagnetic Environment and Advanced Medical Theranostics School of Biomedical Engineering and Informatics Nanjing Medical University Nanjing China School of Biomedical Engineering and Informatics Nanjing Medical University Nanjing China

ISBN: (纸本)9798350386226

Drug-drug interactions pose a significant challenge in healthcare, directly impacting patient safety and treatment efficacy. Although recent advances in computational methods have improved drug-drug interaction (DDI) event prediction, many existing models face difficulties in effectively fusing features across different DDI tasks. To address these limitations, we introduce MMDDI-MGPFF, a novel multi-modal drug representation learning framework that integrates molecular graphs and pharmacological feature fusion to improve DDI prediction. Our model leverages a graph isomorphism network (GIN) for efficient encoding of molecular structures, coupled with an autoencoder for learning sequence-based drug features, encompassing both biological and pharmacological characteristics. We propose a multi-modal fusion approach that employs multi-head attention and deep neural networks to seamlessly integrate these graph and sequence modalities. Comprehensive experiments on a benchmark dataset demonstrate that MMDDI-MGPFF significantly outperforms state-of-the-art methods in DDI prediction tasks. Ablation studies further corroborate the efficacy of our model's components, particularly the GIN and the integration of multi-feature drug representations. This work advances the field of DDI prediction by providing a more holistic and accurate approach to drug representation and interaction modeling. © 2024 IEEE.

关键词： Deep neural networks

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