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An adaptive replica configuration mechanism based on predictive file popularity and queue balance in mobile edge computing environment

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Soft Computing 2023年第1期27卷 107-129页

作者： Chiang, Mao-Lun Hsieh, Hui-Ching Chang, Ting-Yi Lin, Tzu-Ling Chen, Hong-Wei Department of Bachelor Degree Program of Artificial Intelligence National Taichung University of Science and Technology Taichung Taiwan Department of New Media Communication Hsing Wu University New Taipei City Taiwan Department of Industrial Education and Technology National Changhua University of Education Changhua City Taiwan Department of Business Management National Taichung University of Science and Technology Taichung404336 Taiwan

In the current internet of things era, various devices can provide more services by connecting to the Internet. However, the explosive growth of connected devices will cause cloud core overload and significant network delays. To overcome these overload and delay problems, the mobile edge computing (MEC) network is proposed to provide most of the computing and storage near the radio access network to reduce the traffic of the core cloud network and provide lower latency for the terminal. Mobile edge computing can work with third parties to develop multiple services, such as mobile big data analysis and context-aware services. However, while using the service, it may also encounter a large amount of popular data being accessed in a short period of time. Without proper handling of replica generation and deployment, even in low-latency environments, it can still kill the benefits of MEC due to increased access time. Although many scholars have proposed related issues for copy replication, there are *** that can be improved. To avoid the situation of insufficient availability of replicas, replica replication is performed, but infinite replicas may lead to a significant increase in traffic and waste of resources. And when deploying replicas, it is necessary to avoid placing them on congested nodes and consider how to achieve better load balancing. To improve the above problems, we synthesize the advantages of previous algorithms, make up for the shortcomings, and propose an adaptive replica configuration mechanism to predict the popularity of files and replicate replicas to low-blocking nodes. This method spreads the subsequent access workload by copying the popular file in advance to improve the system's overall performance. © 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

关键词： Mobile edge computing

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Hardware Design of Linear Active Disturbance Rejection Control Based on Floating-Point Operations 6

Hardware Design of Linear Active Disturbance Rejection Contr...

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6th International Conference on communications, Information System and Computer Engineering, CISCE 2024

作者： Feng, Rui Liu, Huimin Dou, Qiang Ma, Zhuo School of Integrated Circuit Science and Engineering Tianjin University of Technology Engineering Research Center of Optoelectronic Devices and Communication Technology Tianjin University of Technology Ministry of Education Tianjin China Phytium Technology Co. Ltd. Tianjin China

ISBN: (纸本)9798350353174

Linear Active Disturbance Rejection Control (LADRC) has been widely employed in automatic control due to its enhanced robustness and superior anti-interference capability. However, most current LADRC applications are based on the software level, which exhibits a relatively low response speed compared to the hardware implementation and does not apply to specific scenarios requiring high response speed. This paper presents a hardware design of LADRC based on a single-precision floating point, which guarantees arithmetic precision and a high response speed. The feasibility of this hardware implementation is demonstrated by applying it in a fully integrated digitally controlled BOOST circuit under a 180 nm process. The proposed LADRC in this paper shows a 20% improvement in response speed in BOOST circuits while maintaining stability ripple at 0.9% of the target output with a maximum error of 0.6%. © 2024 IEEE.

关键词： Disturbance rejection

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Diabetes Prediction Using Machine Learning Algorithms and Hyperparameter Tuning for Expecting Mothers

Diabetes Prediction Using Machine Learning Algorithms and Hy...

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2023 IEEE World Conference on Applied Intelligence and Computing, AIC 2023

作者： Kumar, D. Manoj Deny, J. Nagaraj, P. Dhanveer, Kudithipudi Kumar, Vaddepally Punith Arthi, R. Srm Institute of Science and Technology Department of Electronics and Communication Engineering Chennai India Kalasalingam Academy of Research and Education Department of Computer Science and Engineering Virudhunagar Krishnankoil India

ISBN: (纸本)9798350310061

Diabetes is a chronic disease that occurs when the blood glucose levels in the human body exceed the normal range. If left untreated, diabetes can lead to various health complications. To prevent such complications, early detection and management of diabetes are crucial. In this study, a novel system is proposed that uses hyperparameter tuning in addition to various machine learning algorithms for early detection of diabetes. This article also tunes the hyperparameters of the algorithms to optimize their performance. The results indicate that the Support Vector Machine algorithm provides the best fit for predicting diabetes. Hyperparameter tuning further improves the performance of this algorithm. Our approach can be used as a decision support tool for healthcare professionals to identify high-risk patients early on and provide appropriate care and management. Our study highlights the potential of machine learning algorithms and hyperparameter tuning for developing accurate and reliable predictive models for diabetes in expecting mothers. These models can aid healthcare professionals in taking preventive measures to improve maternal and child health outcomes. © 2023 IEEE.

关键词： Support vector machines

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A novel dual-beam terahertz leaky-wave antenna based on spoof surface plasmon waveguide

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Optoelectronics Letters 2022年第7期18卷 404-407页

作者： BAI Yukun LIU Song Tianjin Key Laboratory of Film Electronic and Communication Devices Engineering Research Center of Optoelectronic Devices and Communication TechnologyMinistry of EducationSchool of Integrated Circuit Science and EngineeringTianjin University of TechnologyTianjin 300384China

A novel dual-beam terahertz(THz)leaky-wave antenna(LWA)based on triple-periodically(TP)modulated spoof surface plasmon(SSP)waveguide is *** is shown that SSP can be effectively excited and propagated along the surface of parallel corrugated metallic *** proper design,the n=-1 and n=-2 Floquet modes are brought into the leakage radiation region ***,the forward and backward propagating waves corresponding to the two modes respectively generate two radiation beams in the far-field *** proposed antenna is capable of steering the forward beam within a range of 34°and the backward beam within a range of 48°when frequency is swept between 0.23 THz and 0.29 THz.A simulated peak gain of 11.4 dBi and gain variation of 2.87 dBi are achieved within the *** proposed LWA can be applied in THz wireless communication and radar systems.

关键词： antenna waveguide beam

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An Adaptive Reversible Data Hiding Scheme using Image Processing and Deep Learning Techniques 5

An Adaptive Reversible Data Hiding Scheme using Image Proces...

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5th International Conference on Sustainable communication Networks and Application, ICSCNA 2024

作者： Allwyn, Philip Hemalatha, J. Sampathkumar, Nithyanantham Ramaraj, Kottaimalai Swain, Gandharba Sekar, M. AAA College of Engineering and Technology Department of Electronics and Communication Engineering Tamilnadu Sivakasi India AAA College of Engineering and Technology Department of Computer Science and Engineering Tamilnadu Sivakasi India Kalasalingam Academy of Research and Education Department of Computer Science and Engineering Tamilnadu Krishnankoil India Kalasalingam Academy of Research and Education Department of Electronics and Communication Engineering Tamilnadu Krishnankoil India Koneru Lakshmaiah Education Foundation Department of Computer Science and Engineering Andhrapradesh Vaddeswaram India AAA College of Engineering and Technology Department of Mechanical Engineering Tamilnadu Sivakasi India

ISBN: (纸本)9798331530013

Image steganography is the process of hiding data from digital photos without changing how they look on the outside. It functions as a covert mode of communication, giving access to confidential data without raising the suspicions of opponents or unauthorized parties. It provides an extra degree of secrecy and security for digital communications. Prediction-error expansion (PEE) is an extensively used method in the type of reversible data hiding (RDH) that hiding data with intact image quality in the prediction errors. High-accuracy prediction algorithms are typically essential for a PEE-based RDH implementation to be successful. Current PEE-based Reversible Data Hiding (RDH) systems frequently use a single forecasting approach, typically with worldwide optimization, but pay little attention to the local neighborhoods' pixel distribution features. This study aims to analyze the most recent RDH techniques and investigate image processing and deep learning (DL) techniques for reversible data hiding (DH) schemes. RDH is a difficult topic in general which has potential uses in today's digital world. Reversible data hiding techniques properly restore the cover medium while safely transferring secret data (SD). The goal of RDH techniques is to achieve both large capacity and tunable quality. Even though reversible data hiding has been the subject of indepth research recently, there hasn't yet been a thorough literature analysis to identify research gaps and potential future approaches. © 2024 IEEE.

关键词： Data Hiding Data Security Image Processing Pixel Sorting Reversible Data Hiding Steganography

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Effective Return Rate Prediction of Blockchain Financial Products Using Machine Learning

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Computers, Materials & Continua 2023年第1期74卷 2303-2316页

作者： K.Kalyani Velmurugan Subbiah Parvathy Hikmat A.M.Abdeljaber T.Satyanarayana Murthy Srijana Acharya Gyanendra Prasad Joshi Sung Won Kim PG and Research Department of Computer Science Marudupandiyar College(Affiliated to Bharathidasan UniversityTiruchirappalli)Thanjavur613403India Department of Electronics and Communication Engineering Kalasalingam Academy of Research and EducationKrishnankoil626126TamilnaduIndia Department of Computer Science Faculty of Information TechnologyApplied Science Private UniversityAmmanJordan Department of Information Technology Chaitanya Bharathi Institute of TechnologyHyderabadTelangana500075India Department of Convergence Science Kongju National UniversityGongju32588Korea Department of Computer Science and Engineering Sejong UniversitySeoul05006Korea Department of Information and Communication Engineering Yeungnam UniversityGyeongsan-siGyeongbuk-do38541Korea

In recent times,financial globalization has drastically increased in different ways to improve the quality of services with advanced *** successful applications of bitcoin Blockchain(BC)techniques enable the stockholders to worry about the return and risk of financial *** stockholders focused on the prediction of return rate and risk rate of financial ***,an automatic return rate bitcoin prediction model becomes essential for BC financial *** newly designed machine learning(ML)and deep learning(DL)approaches pave the way for return rate predictive *** study introduces a novel Jellyfish search optimization based extreme learning machine with autoencoder(JSO-ELMAE)for return rate prediction of BC financial *** presented JSO-ELMAE model designs a new ELMAE model for predicting the return rate of financial ***,the JSO algorithm is exploited to tune the parameters related to the ELMAE model which in turn boosts the classification *** application of JSO technique assists in optimal parameter adjustment of the ELMAE model to predict the bitcoin return *** experimental validation of the JSO-ELMAE model was executed and the outcomes are inspected in many *** experimental values demonstrated the enhanced performance of the JSO-ELMAE model over recent state of art approaches with minimal RMSE of 0.1562.

关键词： Financial products blockchain return rate prediction model machine learning parameter optimization

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Pulse Control of Actively Q-switched Random Fiber Laser

Pulse Control of Actively Q-switched Random Fiber Laser

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2023 Photonics Global Conference, PGC 2023

作者： Zhang, Ailing Chen, Haozhe Sun, Ao Pan, Honggang Liu, Fei Chang, Pengxiang Wang, Junfeng Tianjin University of Technology Engineering Research Center of Optoelectronic Devices and Communication Technology Ministry of Education School of Integrated Circuit Science and Engineering Tianjin Key Laboratory of Film Electronic and Communication Devices Tianjin300384 China

ISBN: (纸本)9798350318371

This paper experimentally investigates the influence of pump power, injection power and modulation frequency on the pulse of an actively Q-modulated laser. The number of pulses increases with increasing pump power in both the presence and absence of injection. The pulse amplitude decreases as the injection power increases and pulse disappears when the injection power increases to 14dBm. As the modulation frequency decreases, the number of pulses increases. The number of pulses and the dark pulses can be adjusted by varying the pump power, the injection power and the modulation frequency, which has potential for applications in secure communications and remote sensing and ranging. © 2023 IEEE.

关键词： Fiber lasers

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Sensitivity optimization of fiber sensor based on two FBGs using microwave photonic interrogation technology 21

Sensitivity optimization of fiber sensor based on two FBGs u...

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21st International Conference on Optical communications and Networks, ICOCN 2023

作者： Wang, Minghe Zhang, Ailing Hu, Guang Yan, Jinmeng Pang, Honggang Liu, Fei Chang, Pengxiang Wang, Junfeng College of Integrated Circuit Science and Engineering Tianjin University of Technology Tianjin Key Laboratory of Thin Film Electronics and Communication Devices Engineering Research Center of Optoelectronic Devices and Communication Technology Ministry of Education Tianjin China

ISBN: (纸本)9798350343502

Sensitivity optimization of fiber sensor based on two FBGs using microwave photonic interrogation technology is proposed and experimentally demonstrated. Two FBGs are attached on the upper and lower surfaces of a rectangular cantilever beam, which results in wavelength drift in opposite direction with external strain and same direction with temperature. As a result, the crosstalk caused by temperature is efficiently eliminated. The wavelength drift is converted into power variation of electrical signal by adopting the two taps microwave photonic filter response formed by two FBGs system. The effects of the modulation frequency and wavelength of the two FBGs on the system sensitivity are analyzed. In the experiment, the strain on two FBGs is demodulated by measuring the power of the recovered RF signal. © 2023 IEEE.

关键词： Fiber Bragg gratings

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Temperature-insensitive sensor based on U-shaped few-mode fiber for blood glucose brix measurement 21

Temperature-insensitive sensor based on U-shaped few-mode fi...

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21st International Conference on Optical communications and Networks, ICOCN 2023

作者： Yu, Haozheng Tong, Zhengrong Dong, Miaoyun Zhang, Weihua Tianjin University of Technology Engineering Research Center of Optoelectronic Devices and Communication Technology Ministry of Education Tianjin Key Laboratory of Film Electronic and Communication Devices School of Integrated Circuit Science and Engineering Tianjin300384 China

ISBN: (纸本)9798350343502

In this study, a U-shaped few-mode fiber (FMF) sensor for blood glucose brix measurement is proposed, which is temperature-insensitive. These sensors with smaller bending diameters can be obtained by bending single-mode fiber (SMF)-FMF-SMF. The light leaks from fiber core to fiber cladding because the bending, which results in the occurrence of modal interference. The experiments show that the maximum blood glucose brix sensitivity is up to 1.081 nm / % in the blood glucose brix range of 0%-18%, when the bending diameter is ∼ 1 mm. And the sensors are temperature-insensitive in the temperature range of 10°C-40°C. The sensor has advantages of compact structure and high sensitivity. Therefore, the sensor is suitable for applications in fields such as biomedicine. © 2023 IEEE.

关键词： Single mode fibers

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Enhanced Health Monitoring System for Internet of Medical Things using Machine Learning 15

Enhanced Health Monitoring System for Internet of Medical Th...

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15th International Conference on Computing communication and Networking Technologies, ICCCNT 2024

作者： Swedheetha, C. Manikandan, P. Rajalakshmi, J. Muthuraja, T. Kavin Kumar, K. Chandrasekaran, Gokul Sriram Srivathsan, N. Velammal College of Engineering and Technology Department of Computer Science and Engineering India Kalasalingam Academy of Research and Education Krishnankoil Department of Electronics and Communication Engineering Virudhunagar India Sethu Institute of Technology Department of Electronics and Communication Engineering Virudhnagar India Kongu Engineering College Perundurai Department of Electronics and Communication Engineering Erode638060 India Karpagam Institute of Technology Department of Electronics and Communication Engineering Coimbatore India Velammal College of Engineering and Technology Department of Computer Science and Engineering Madurai India

ISBN: (纸本)9798350370249

This brief looks at mobile operation, speech recognition, and voice robotization. Patients with physical limitations, such as Parkinson's disease and cerebral palsy, as well as those with speech impairments, can express their requirements with this application. The initiative enhances the general well-being and independence of people with impairments. Increasing the automation of current technologies is the main objective of this design. © 2024 IEEE.

关键词： Neurodegenerative diseases

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