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Aqua Safe: Blockchain Based Maritime Communication System using Ad hoc Network 13

Aqua Safe: Blockchain Based Maritime Communication System us...

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13th International Conference on Computing Communication and Networking Technologies, ICCCNT 2022

作者： Lokuliyana, Shashika Wellalage, Sasini Warusavithana, Lahiru Pathirana, Madusha Kodithuwakku, Sanjula Munasinghe, Thamali Sri Lanka Institute of Information Technology Dept. of Computer Systems Engineering Malabe Sri Lanka

ISBN: (数字)9781665452625

ISBN: (纸本)9781665452625

The lack of a pre-existing infrastructure for facilitating long-range connectivity with the land makes maritime communications extremely difficult. Satellite connections, which are expensive, and use much power, are generally used to communicate on the high seas. For better connectivity between fisheries and land stations, different functional methods such as whether detection, boundary detection, data security, barrier detection, and data communication without interruption have been implemented in the system. Implementing a LoRa WAN system is to inform about emergencies in the deep sea and send the information indicated above. IoT node-based Ad hoc network is used to communicate with the land station without an internet connection. In case of emergency or when the fisheries need to send data and information to the land station in real-time, the fishing boat can interact with the land station through this proposed system. Blockchain technology is used in the system to ensure secure communication of information. In this scenario, the blockchain technology has enabled it to deploy distributed networks and perform secure peer-to-peer transmission and data integrity without a third party accessing the network. © 2022 IEEE.

关键词： Blockchain

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Blockchain and Artificial Intelligence Feasibility, Implementation and Sustainability in Supply Chain 8

Blockchain and Artificial Intelligence Feasibility, Implemen...

引用

8th International Conference on Advanced Computing and Communication systems, ICACCS 2022

作者： Moorthy, Srihari Balakrishanan, S. Nithish, K. Rahfar Nisha, R. Rohith, M.R.C. Sri Krishna College of Engineering and Technology Dept. of Computer Science and Business Systems Coimbatore India

ISBN: (纸本)9781665408165

This paper aims to study the current deficits in the supply chain and logistics industry and how cutting-edge technologies will be able to solve the problems. Ideas such as blockchains are being used for integrity & immutability during logistic operations and to use Artificial intelligence to maximize the efficiency of the supply chain operations. Using pre-existing data and research papers we will determine the feasibility and sustainability of using these technologies in the supply chain and logistics industry. This paper will also discuss about the Blockchain and machine learning models and difficulties in implementing these technologies in the supply chain and logistic industry. © 2022 IEEE.

关键词： Supply chains

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Current Vector Control of AC Servo Motor Considering Output Delay of PWM Inverter

Current Vector Control of AC Servo Motor Considering Output ...

引用

18th IEEE International Conference on Advanced Motion Control, AMC 2024

作者： Shimamoto, Haruta Yoshioka, Takashi Urushihara, Shiro National Institute of Technology Kagawa College Advanced Course in Industrial and Systems Engineering Takamatsu Japan National Institute of Technology Kagawa College Dept. of Electrical and Computer Engineering Takamatsu Japan

ISBN: (纸本)9798350342819

In this paper, to expand a control bandwidth of AC servo motor, a new current vector control considering an output delay of PWM Inverter is proposed. The proposed current control is a I-P control with an additional feedback gain, which is based on an extended state feedback consisted from a d-q motor model, the output delay of PWM inverter and an integrator of ACR. In addition, the proposed method is easy to implement to the existing AC servo system. The effectiveness of proposed method is validated in a computer simulation and an experiments using a 3.7 kW class motor test bench. In the condition that a cut-off frequency of ACR is close to a carrier frequency, the simulation results show that the proposed method dramatically improves the current response at the higher cut-off frequency. Moreover, the experimental results show that the proposed method dramatically improves the current response at each operating point. From the results, the proposed method is effective to the expand the bandwidth of AC servo motor. © 2024 IEEE.

关键词： Electric current control

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Modelling Weave effect in PCBs using 2D cross-sectional analysis

Modelling Weave effect in PCBs using 2D cross-sectional anal...

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2024 IEEE International Symposium on Electromagnetic Compatibility, Signal and Power Integrity, EMC+SIPI 2024

作者： Khilkevich, Victor Hinaga, Scott Missouri University of Science and Technology Dept. of Electrical and Computer Engineering Electromagnetic Compatibility Laboratory RollaMO United States Cisco Systems Inc San JoseCA United States

ISBN: (纸本)9798350360394

Printed circuit board dielectric substrates are composite materials produced by embedding fiber glass fabrics into epoxy resin. Because of this the medium in the PCB transmission lines is inhomogeneous which often leads to degradation of the signal integrity performance of the lines, particularly due to the differential skew. The detrimental effect of the fiber weave can be modeled relatively accurately using full-wave analysis, but at a high computational cost. Alternative modelling techniques are less demanding, but often lack accuracy. This article investigates a possibility of using the 2D cross-sectional analysis for the fiber weave effect modeling, which considerably decreases the computational cost of modeling while retaining the accuracy inherent to the field solvers. © 2024 IEEE.

关键词： System-on-chip

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A Comparative Study of Hough Transform and PCA for Bolt Orientation Detection 22

A Comparative Study of Hough Transform and PCA for Bolt Orie...

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22nd IEEE International Conference on Industrial Informatics, INDIN 2024

作者： Gambale, Antonio Coleman, Sonya Kerr, Dermot Vance, Philip Kerr, Emmett Fermuller, Cornelia Aloimonos, Yiannis School of Computing Engineering & Intelligent Systems Ulster University Londonderry United Kingdom Dept. of Electronic & Mechanical Engineering Atlantic Technological University Letterkenny Ireland Institute for Advanced Computer Studies University of Maryland United States

ISBN: (纸本)9798331527471

In the fields of manufacturing and robotics, accurately determining the orientation of manufacturing components, such as bolts, is a critical yet challenging problem due to the limitations of existing detection methods. This study introduces a novel methodology for addressing this issue, leveraging traditional computer vision techniques, by proposing a streamlined approach that exploits the inherent geometric properties of bolts for orientation detection. Two methods are presented to ascertain the initial axis angle of the bolt: the Progressive Probabilistic Hough Transform (PPHT) and Principal Component Analysis (PCA). These methods are used in conjunction with a novel tip direction detection approach. The results of the study demonstrate consistent accuracy in angle determination, with PPHT and PCA both achieving angular deviations below ±0.5◦ in the simple dataset, and PCA showing enhanced robustness in the dataset degraded by shadows, with a maximum error under ±1.5◦. This research not only reaffirms the viability of fundamental computer vision techniques in modern robotic applications but also sets a precedent for simple, generalisable, and reliable orientation detection solutions. These methods effectively bridge the gap between highly specialised machine learning systems, which often require tailored, complex models and extensive training data, and more universally applicable, straightforward approaches. © 2024 IEEE.

关键词： Bolts

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SELCC: Enhancing MLC Reliability and Endurance with Single-Cell Error Correction Codes

SELCC: Enhancing MLC Reliability and Endurance with Single-C...

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Design, Automation and Test in Europe Conference and Exhibition

作者： Yujin Lim Dongwhee Kim Jungrae Kim Dept. of Electrical and Computer Engineering Sungkvunkwan University Dept. of Semiconductor and Display Engineering Sungkvunkwan University Dept. of Semiconductor Systems Engineering Sungkvunkwan University

ISBN: (数字)9783981926385

ISBN: (纸本)9798350348606

Conventional DRAM's limitations in volatility, high static power consumption, and scalability have led to the exploration of alternative technologies such as Phase Change Memory (PCM) and Resistive RAM (ReRAM). Storage-Class Memory (SCM) arises as a target application for these emerging technologies with non-volatility and higher capac-ity through Multi-Level Cells (MLCs). However, MLCs face issues of reliability and reduced endurance. To address this, our paper introduces a novel Error Correction Codes (ECC) method, “Single Eight-Level Cell Correcting” (SELCC) ECC. This technique efficiently corrects single-cell errors in 8- level cell memories using existing ECC syndromes without added redundancy. SELCC enhances memory reliability and improves 8LC memory endurance by 3.2 times, surpassing previous solutions without significant overheads.

关键词： Resistance Phase change materials Power demand Scalability Resistive RAM Redundancy Memory management

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Comparative Analysis of The Effective Grounding System on External LPS Modeling in PV Fields 7

Comparative Analysis of The Effective Grounding System on Ex...

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7th International Conference on Electrical, Telecommunication and computer engineering, ELTICOM 2023

作者： Rohana, Rohana Hardi, Surya Nasaruddin, Nasaruddin Away, Yuwaldi Doctoral Program School of Engineering Universitas Syiah Banda Aceh Indonesia Universitas Muhammadiyah Sumatera Utara Indonesia Universitas Sumatera Utara Dept. of Electrical Engineering Medan Indonesia Universitas Syiah Kuala Dept. of Electrical and Computer Engineering Banda Aceh Indonesia

ISBN: (纸本)9798350385526

Solar energy is environmentally friendly energy and is available in large quantities. The energy produced is commonly converted into electricity by using solar panel (PV) systems for utilization. PV systems are generally located in open areas such as hillsides, deserts, and water surfaces, so they become more sensitive against lightning strikes. Commonly, the PV is equipped with a lightning protection system (LPS). This paper discusses the grounding system at the solar power center (PLTS) Weh Island, Sabang City. Evaluation and comparison under certain conditions are carried out through measurements, calculations, and simulations. The grounding system is modeled for one rod, four rods in parallel, and plate rod. The measurement process during field observations and the induce voltage simulation are carried out to get the results of the analysis calculations. The result obtained shows that the grounding system fulfills the PUIL standard, namely being smaller than 5 Ω. When using plate electrodes, the resistance value is greater than that of rod electrodes. So that the lower conductor can be more resistant and easier to maintain. Improving the quality of the protection system, this research is used as a reference to evaluate LPS conditions in PV fields. © 2023 IEEE.

关键词： Solar energy

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Enhancing Eye Health Diagnosis through Deep Transfer Learning: Unveiling Insights from Low Quality Fundus Images

Enhancing Eye Health Diagnosis through Deep Transfer Learnin...

引用

2024 International Conference on System, Computation, Automation and Networking, ICSCAN 2024

作者： Sathishkumar, R. Karthikeyan, T. Kumar, P. Praveen Rengarajan, Chitra Tharagesh, A. Govindarajan, M. Manakula Vinayagar Institute of Technology Dept. of Cse Puducherry India Sri Manakula Vinayagar Engineering College Dept. of Computer Science and Business Systems Puducherry India Sri Manakula Vinayagar Engineering College Dept. of Information Technology Puducherry India Tamil Nadu Agricultural University Centre for Agricultural Nanotechnology Tamil Nadu India Annamalai University Dept. of Cse Tamil Nadu Chidambaram India

ISBN: (纸本)9798331510022

Due to the frequency of eye illnesses, effective and precise diagnostic instruments are required. This work suggests an approach that uses low quality fundus images with deep transfer learning more precisely, the EfficientNetB0 architecture to improve eye health diagnosis. We tackle the problem caused by the quality of fundus photographs that are commonly found in clinical settings, which frequently display noise and abnormalities. Our methodology consists of pretraining the EfficientNetB0 model on a sizable dataset of excellent fundus photos, followed by fine-tuning it on a dataset of poor fundus photos. By employing this transfer learning technique, the model enhances its diagnostic capabilities by learning to identify significant features from the low-quality images. We ran tests on a variety of datasets that included fundus photos of varying degrees of deterioration in order to assess our approach. As compared to conventional techniques, the results reveal a significant improvement in diagnostic accuracy, demonstrating the effectiveness of deep transfer learning for improving eye health diagnosis from difficult fundus images. With fused features from MobileNet and DenseNet-121 models, the ANN specifically achieved accuracies of 98.5% for cataracts, 99.1% for diabetic retinopathy, 99% for glaucoma, and 99.5% for normal conditions. © 2024 IEEE.

关键词： Electronic health record

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Forecasting Breakdowns of Electric Motors of a Sugar Factory Using Machine Learning Methods 4

Forecasting Breakdowns of Electric Motors of a Sugar Factory...

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4th IEEE KhPI Week on Advanced Technology, KhPI Week 2023

作者： Zaiets, Nataliia Vlasenko, Lidiia Lutska, Nataliia Zhyltsov, Andrii Dept. of Automation and Robotic Systems National University of Life and Environmental Sciences of Ukraine Kyiv Ukraine Dept. of Software Engineering and Cyber Security State University of Trade and Economics Kyiv Ukraine Dept. of Automation and Computer Technologies of Control Systems National University of Food Technologies Kyiv Ukraine Dept. of Electromagnetic Systems The Institute of Electrodynamics The National Academy of Sciences of Ukraine Kyiv Ukraine

ISBN: (纸本)9798350395532

The paper demonstrates the process of developing mathematical models for identifying breakdowns of electric motors using machine learning methods. The authors have developed three mathematical models for identifying breakdowns of electric drives with a power of 55 kW, 1500 rpm on the example of sugar production: model for quadratic discriminant analysis;binary classification decision tree;feedforward neural network model. The best structures and parameters of the models were determined by machine learning methods. The performance of the models on the training and test sets was more than 96% by F-score. It was proposed to use all three models independently for diagnosing breakdowns of electric drives, while the decision maker makes the final decision on the replacement or repair of electrical equipment. This approach is justified and effective because of the diversity of models. The developed models, except for assessing the state of the engine, can also be used for simulation modelling, forecasting, and serve as information support for process operators in organizing equipment maintenance. The availability of real-time information about the state of equipment in production will allow timely repair or replacement of equipment, thereby reducing the risks of stopping production and increasing the resource efficiency of technological processes. © 2023 IEEE.

关键词： Decision trees

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Understanding the Quantum Teleportation Protocol

Understanding the Quantum Teleportation Protocol

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2023 Congress in computer Science, computer engineering, and Applied Computing, CSCE 2023

作者： Spranger, Kurt T. Grimaila, Michael R. Hodson, Douglas D. Air Force Institute of Technology Dept. of Systems Engineering and Mgmt. Wright-Patterson AFBOH United States Air Force Institute of Technology Dept. of Electrical & Computer Engineering Wright-Patterson AFBOH United States

ISBN: (纸本)9798350327595

Decomposing a complex system into smaller abstract functional blocks and developing mathematical models to represent their behavior is an important activity towards developing comprehensive system understanding. In this paper, we decompose the ideal Quantum Teleportation protocol into a collection of simple quantum circuit blocks, examine the behavior of each block, and show how collections of blocks operate to create more complex circuits. We believe this approach greatly simplifies the understanding of how the Quantum Teleportation protocol works. This paper is introductory in nature and is intended to help those who are new to modeling, simulating, and analyzing ideal quantum circuits. © 2023 IEEE.

关键词： Bell State Generation (BSG) Bell State Measurement (BSM) Einstein Podolsky Rosen (EPR) pairs quantum entanglement quantum teleportation superdense coding

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