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2nd International Conference of Mechanical system Dynamics, ICMSD 2023

作者： Chen, Gangli Rui, Xiaoting Zeng, Xiaoyun Liu, Xingbao Lu, Hanjing Sichuan Precision and Ultra-Precision Machining Engineering Technology Center Chengdu610200 China Institute of Launch Dynamics Nanjing University of Science and Technology Nanjing210094 China National Key Laboratory of Complex Multibody System Dynamics Nanjing University of Science and Technology Nanjing210094 China College of Engineering Peking University Beijing100087 China Department of Engineering Aarhus University Aarhus8000 Denmark

ISBN: (纸本)9789819980475

The computational efficiency of dynamic method and its degree of computer automation are crucial to speedily solve the dynamic problems of complicated mechanical systems in practical engineering. Transfer matrix method for multibody systems (MSTMM) has been successfully applied in the dynamic analyses of many mechanical systems as a result of its high stylization and efficiency. The overall transfer equation of multibody system plays a vital role in MSTMM, and its automatic deduction is one of the salient features of high stylization. The key to deducing the system’s overall transfer equation is the deduction for its overall transfer matrix which is mainly composed of elements’ transfer and geometrical matrices. In this study, the symbolic expression consisting of the sequence numbers of elements and their input points is put forward to represent elements’ transfer and geometrical matrices, and it is described by the class TransferMatrix in computer. The class MainTM is designed to represent the system’s main transfer and geometrical matrices, which together compose the system’s overall transfer matrix. The symbolic deduction for the overall transfer matrix by computer is achieved through the operator overloading in object-oriented technology. A numerical example is performed to validate the proposed method. The present study lays a foundation for developing the dynamic analysis software for mechanical systems based on the theory of MSTMM. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Transfer matrix method

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LOPO: An Out-of-order Layer Pulling Orchestration Strategy for Fast Microservice Startup 42

LOPO: An Out-of-order Layer Pulling Orchestration Strategy f...

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42nd IEEE International Conference on Computer Communications, INFOCOM 2023

作者： Gu, Lin Huang, Junhao Huang, Shaoxing Zeng, Deze Li, Bo Jin, Hai Huazhong University of Science and Technology National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab Cluster and Grid Computing Lab School of Computer Science and Technology Wuhan China China University of Geosciences School of Computer Science Wuhan China Hong Kong University of Science and Technology Department of Computer Science and Engineering Hong Kong

ISBN: (纸本)9798350334142

Container based microservices have been widely applied to promote the cloud elasticity. The mainstream Docker containers are structured in layers, which are organized in stack with bottom-up dependency. To start a microservice, the required layers are pulled from a remote registry and stored on its host server, following the layer dependency order. This incurs long microservice startup time and hinders the performance efficiency. In this paper, we discover that, for the first time, the layer pulling order can be adjusted to accelerate the microservice startup. Specifically, we address the problem on microservice layer pulling orchestration for startup time minimization and prove it as NP-hard. We propose a Longest-chain based Out-of-order layer Pulling Orchestration (LOPO) strategy with low computational complexity and guaranteed approximation ratio. Through extensive real-world trace driven experiments, we verify the efficiency of our LOPO and demonstrate that it reduces the microservice startup time by 22.71% on average in comparison with state-of-the-art solutions. © 2023 IEEE.

关键词： Containers

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A Review of Fintech Management and Security Development 10

A Review of Fintech Management and Security Development

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10th IEEE Information technology International Seminar, ITIS 2024

作者： Ritonga, Ali Akbar Zuhri Harahap, Syaiful Sooai, Adri Gabriel Nugroho, Aryo Samsir Prasetyo Adi, Puput Dani Universitas Labuhanbatu Faculty of Science and Technology Department of Informatics Management North Sumatera Labuhanbatu Indonesia Universitas Labuhanbatu Faculty of Science and Technology Department of Information System North Sumatera Labuhanbatu Indonesia Universitas Katolik Widya Mandira Faculty of Computer Science Department of Computer Engineering NTT Kupang Indonesia Universitas Narotama Faculty of Computer Science Department of Information System Surabaya Indonesia Universitas Labuhanbatu Faculty of Computer Science Department of Informatics Engineering North Sumatera Labuhanbatu Indonesia Department of Telecommunication Bandung Indonesia

ISBN: (纸本)9798331521295

This research focuses on the review of Fintech and its development on the IoT Platform and also the risks that can be posed to the IoT network used. Finance is the most essential side of several other sectors which in this case often experience many losses, one of the biggest losses is the existence of hackers and theft of money through the Internet platform or Internet Server. This research reviews how the ins and outs of the flow of funds located on servers or online banks. And ways to overcome hackers and bypass data. Comprehensively reviewed in this research review. This research discusses Cryptocurrency Analysis, Bitcoin, and Ethereum Comparison which are some of the methods used in online-based Finance, which is without currency but has the same value even more than currency if the conversion process is carried out at the bank. In this research, it is comprehensively discussed how methods are carried out in the process of securing data, Cryptocurrency, Bitcoin, and Ethereum are comprehensively discussed to get a lot of data and comparisons and the right steps to deal with crime via the internet. The predicted use of IoT in the Fintech sector is 140 billion connected devices, IoT Loans 110 billion connected devices, and IoT insurance with an estimated 90 billion connected devices, in the approaching 2026. © 2024 IEEE.

关键词： Ethereum

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3-Gsymbol/s/lane MIPI C-PHY Receiver with Feed-forward Level-dependent Equalization 21

3-Gsymbol/s/lane MIPI C-PHY Receiver with Feed-forward Level...

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21st International system-on-Chip Design Conference, ISOCC 2024

作者： Park, Jong-Ho Cho, Minjun Kim, Juncheol Son, Haewoon Kim, Hyeon-Ho Jang, Young-Chan Graduate School Kumoh National Institute of Technology Department of Semiconductor System Engineering Gumi Korea Republic of DB GlobalChip DDI Design 1 Team Seongnam-si Korea Republic of

ISBN: (纸本)9798350377088

A 3-Gsymbol/s/lane high-speed receiver is proposed for the mobile industry processor interface (MIPI) C-PHY. The proposed MIPI C-PHY receiver consists of high-speed receivers, level dependent elastic buffers (LDEBs), a clock recovery, and data samplers. To improve the bandwidth of level-dependent equalization using decision feedback, the proposed MIPI C-PHY receiver uses a feed-forward LDEB. The MIPI C-PHY receiver chip with three lanes was fabricated by using a 40nm CMOS process with a 1.1-V supply. The power consumption of the MIPI C-PHY receiver is 3.7 mW/Gsymbol/s/lane and the area of the receiver per lane is 400μm × 140μm. The peak-to-peak time jitter of the received data and the recovered clock measured at a symbol rate of 3 Gsymbol/s/lane is 140 ps and 92 ps, respectively. © 2024 IEEE.

关键词： Decision feedback equalizers

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Multiple Instances Fingerprint Image Data Acquisition

Multiple Instances Fingerprint Image Data Acquisition

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2023 IEEE International Conference on Electrical, Computer and Energy Technologies, ICECET 2023

作者： Jooda, Janet O. Ogundokun, Roseline Oluwaseun Adedeji, Oluyinka T. Ajagbe, Sunday Adeola Adigun, Matthew O. Oke, Alice O. Omidiora, Elijah O. Redeemer's University Department of Computer Engineering Osun State Ede Nigeria Kaunas University of Technology Department of Multimedia Engineering Kaunas Lithuania Landmark University Department of Computer Science Omu Aran Nigeria Ladoke Akintola University of Technology Department of Information System Science Ogbomoso Nigeria University of Zululand Department of Computer Science Kwadlangezwa3886 South Africa First Technical University Department of Computer Engineering Ibadan200255 Nigeria Ladoke Akintola University of Technology Department of Computer Engineering Ogbomoso Nigeria

ISBN: (纸本)9798350327816

Using public fingerprint databases to validate the multi-instance fusion approach of a Multi-instance Biometric Authentication system (MBAS) for accurate authentication is a means of overcoming some of the limitations of a Unimodal Biometric system (UBS). Nevertheless, a significant portion of the web databases used for MBAS (Machine Learning-Based Automated systems) were obtained under controlled conditions, with the photos being curated to align with a certain algorithmic objective. The performance of biometric systems exhibits variability when the datasets used in the algorithms undergo modifications as a result of discrepancies in the settings under which the photos were obtained. In this study, a database containing multiple fingerprint instances was developed locally in an uncontrolled environment. The aim was to create a database containing numerous examples of fingerprints for the same person from one or multiple data collection sessions. The database was produced locally by acquiring six samples of ten fingerprint instances of 150 subjects in an uncontrolled environment using a Futronic fingerprint scanner. The created database and results will be helpful to all researchers in the biometrics field as a tool for improving multi-instance fusion methods and enabling an unbiased evaluation of algorithms. © 2023 IEEE.

关键词： Biometrics Fingerprint Image data acquisition Multiple instances Unimodal biometric system

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A study on Microservices and Application Programming Interface vulnerabilities 5

A study on Microservices and Application Programming Interfa...

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5th International Conference on Advancement in Data Science, E-Learning and Information systems, ICADEIS 2023

作者： Sahu, Santhoshini Shukla, Ajit Tiwari, Raj Gaurang Rao, Telu Venkata Madhusudhana Maram, Balajee Musnansyah, Ahmad GMT Institute of Technology Andhra Pradesh Rajam India Dr. Shakuntla Mishra National Rehabilitation University Institute of Engineering and Technology Department of CSE Lucknow India Chitkara University Institute of Engineering and Technology Chitkara University Punjab India Vignan's Institute of Information Technology Department of CSE Andhra Pradesh Visakhapatnam India University Centre for Research and Development Chandigarh University AIT-CSE Punjab Mohali India Telkom University School of Industrial and System Engineering Information System Department Bandung Indonesia

ISBN: (纸本)9798350303414

Microservices is an organizational approach for the development of software, in which programs are subdivided into smaller independent services. Application Programming Interface also known as API, is an interface that allows two programs to communicate with each other. Whenever you operate an app like Facebook, send an urgent message, or check the weather on your phone, you are using an application working with APIs. Nowadays, special styles of computing mechanisms which provide in-depth services inclusive of mechanical, aerospace, civil and environmental engineering, packages are regularly deployed on the cloud. As it offers a handy on-call version for renting sources and clean-to-use flexible infrastructures, these are a part of API. The main advantage of the usage of microservices is the capability to provide security for network-segregated web applications. Microservice architecture is used in an application to design a modular layout, whereby every microservice has single, unique functionality and can be independently controlled and deployed. The overall study comprises the experiences of various authors regarding the vulnerabilities in microservices and APIs. The prime motive is to attain enough knowledge about all the security concerns related to APIs and microservices. © 2023 IEEE.

关键词： Application programs

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Artificial Bee Colony with Cuckoo Search for Solving Service Composition

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Intelligent Automation & Soft Computing 2023年第3期35卷 3385-3402页

作者： Fadl Dahan Abdulelah Alwabel Department of Information System College of Computer Engineering and SciencesPrince Sattam bin Abdulaziz UniversityAl-Kharj11942Saudi Arabia Department of Computer Sciences Faculty of Computing and Information Technology AlturbahTaiz UniversityTaiz9674Yemen Department of Computer Sciences College of Computer Engineering and SciencesPrince Sattam bin Abdulaziz UniversityAl-Kharj11942Saudi Arabia

In recent years,cloud computing has provided a Software As A Service(SaaS)platform where the software can be reused and applied to fulﬁll compli-cated user demands according to speciﬁc Quality of Services(QoS)*** user requirements are formulated as a workﬂow consisting of a set of ***,many services may satisfy the functionality of each task;thus,searching for the composition of the optimal service while maximizing the QoS is formulated as an NP-hard *** work will introduce a hybrid Artiﬁcial Bee Colony(ABC)with a Cuckoo Search(CS)algorithm to untangle service composition *** ABC is a well-known metaheuristic algorithm that can be applied when dealing with different NP-hard problems with an outstanding record of ***,the ABC suffers from a slow convergence ***,the CS is used to overcome the ABC’s limitations by allowing the abandoned bees to enhance their search and override the local *** proposed hybrid algorithm has been tested on 19 datasets and then compared with two standard algorithms(ABC and CS)and three state-of-the-art swarm-based composition *** addition,extensive parameter study experiments were conducted to set up the proposed algorithm’s *** results indicate that the proposed algorithm outperforms the standard algorithms in the three comparison criteria(bestﬁtness value,averageﬁtness value,and average execution time)overall datasets in 30 different ***,the proposed algorithm also exhibits better performance than the state–of–the–art algorithms in the three comparison criteria over 30 different runs.

关键词： Cloud computing web service composition artiﬁcial bee colony cuckoo search

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Traffic Light Control Using Reinforcement Learning 2

Traffic Light Control Using Reinforcement Learning

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2nd IEEE International Conference on Integrated Circuits and Communication systems, ICICACS 2024

作者： Masfequier Rahman Swapno, S.M. Nuruzzaman Nobel, S.M. Ramachandra, A.C. Islam, Md Babul Haque, Rezaul Rahman, Mohammad Mominur Bangladesh University of Business and Technology Dept of CSE Dhaka Bangladesh Nitte Meenakshi Institute of Technology Department of Electronics and Communication Engineering Bengaluru India UNICAL Dept. of Computer Modeling Electronic and System Engineering Rende Italy East West University Dept of CSE Dhaka1212 Bangladesh Hamad Bin Khalifa University College of Science and Engineering Qatar

ISBN: (纸本)9798350317558

Nowadays, one of the biggest issues in urban areas is traffic. This problem wastes important time and contributes to air and sound pollution. This affects people's general quality of life in addition to posing health dangers. Our study attempts to mitigate these problems, effectively cutting down on wait times and delays. Our Reinforcement Learning method creates intelligent agents that can adjust traffic lights at crossings instantly. Our objective is to minimize delays, reduce congestion, reduce travel times, improve safety, and improve traffic flow. We implemented the Deep Q Learning algorithm which activities yield the greatest benefits under various traffic scenarios. Our model can the sequence time since the Green signal (GS) lasts 10 seconds and the Red signal (RS) lasts 5 seconds. The waiting period is shortened by 50% as a result. This study suggests reinforcement learning may improve traffic signal controller synchronization and urban traffic congestion. This novel method may improve transport efficiency and sustainability. © 2024 IEEE.

关键词： Action Deep Q Learning GS Model Q Value Rewards RS State Traffic signal vehicles Waiting Time

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Adaptive neural output constrained control for an unmanned surface vessel with coupled input constraint

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Ocean engineering 2025年 335卷

作者： Ouyang, Yuncheng Bai, Yang Kong, Linghuan Wang, Xuerao School of Artificial Intelligence the Engineering Research Center of Autonomous Unmanned System Technology Ministry of Education Anhui Provincial Engineering Research Center for Unmanned System and Intelligent Technology Anhui University Hefei China Department of Electrical and Computer Engineering Faculty of Science and Technology University of Macau Macao China

In this paper, we focus on the tracking control problem of an uncertain unmanned surface vessel (USV) system with coupled input constraint and output constraint. Considering the issue of coupled input constraint, a transformation matrix is proposed to decouple the constrained inputs. Concerning output constraint occurring in a limited time interval (OCOLT) of the USV system, a novel shifting function with a new barrier function is introduced to transform the constrained system into an unconstrained one. Furthermore, neural network technology is employed to tackle the problems of system uncertainty. Through the Lyapunov stability theory, the stability analysis of the USV system is given to demonstrate the feasibility of the proposed control method. Finally, effectiveness of the proposed control method is verified by simulations. © 2025 Elsevier Ltd

关键词： Adaptive control systems

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Toward Precision Diagnosis of Otitis Media: Introducing A Novel EARnet-AR Model 2

Toward Precision Diagnosis of Otitis Media: Introducing A No...

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2nd International Conference on Ambient Intelligence in Health Care, ICAIHC 2023

作者： Shakil, Rashiduzzaman Shamrat, F. M Javed Mehedi Sharmin, Sharmin Akter, Bonna Rubi, Maksuda Akter Dutta, Anik Daffodil International University Department of Computer Science and Engineering Dhaka Bangladesh University of Malaya Department of Computer System and Technology Kuala Lumpur Malaysia Daffodil International University Department of General Educational Development Dhaka Bangladesh Guru Nanak Institute of Technology Department of Computer Science and Engineering Kolkata India

ISBN: (纸本)9798350344882

Otitis media represents inflammation or infection of the middle ear, often stemming from colds, sore throats, or respiratory infections. To address diagnostic challenges, this study introduces the EARnet-AR method, a novel advanced approach for automatically classifying otoscope tympanic membrane images. We employed 1100 otoscopic augmented images were utilized to conduct this research. To enhance the clarity and accuracy of otoscopic images, our research incorporated median filtering, an effective noise reduction technique, and gamma correction to adjust the image's luminance, ensuring a more consistent visual representation. In our initial evaluations, we tested the capabilities of five renowned pre-trained models using a comprehensive set of evaluation metrics, including accuracy, sensitivity, specificity, precision, f1-score, FPR, and FNR. The confusion matrices also detailed the model's capabilities in classifying each specific ear condition. Moreover, our proposed novel model EARnet-AR, enriched with Attention and RNN features, surpasses the other models, achieving training, testing and validation accuracies of 97.5%, 96.0%, and 96.5%, respectively. With such precise diagnostic tools, medical professionals can potentially achieve more timely and accurate treatments, enhancing patient care and outcomes in otitis media cases. © 2023 IEEE.

关键词： Diagnosis

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