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dynamic motion response of an oil tanker moored with a single buoy under different mooring system failure scenarios

Ships and Offshore Structures 2023年第7期18卷 923-936页

作者： Yang, ray-Yeng Chiang, Wen-Chang Department of Hydraulic and Ocean Engineering National Cheng Kung University Tainan Taiwan Ship and Ocean Industries R&D Center New Taipei City Taiwan

In this study, the dynamic responses of an oil tanker moored on a Catenary Anchor Leg Mooring (CALM) buoy were simulated under the wave, wind and current through numerical simulations. Then the tension of the mooring lines and the drift range of the tanker were studied after a mooring system failure. Simulations were done with ANSYS AQWA and Orcina OrcaFlex. Hydrodynamics of tanker was first solved in the frequency domain through AQWA based on the potential theory, three-dimensional radiation and diffraction theory. Then coupled dynamic models, including buoy, oil tanker and the mooring system, were calculated using OrcaFlex. Two mooring system failure scenarios, including the continuous failure of two anchor chains and the failure of hawser, were simulated. The drift ranges of the tanker, hawser and anchor chain tension after the mooring system failure were discussed. The obtained results from this study can be provided as a reasonable reference for ports and related departments for emergency responses. © 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

关键词： Mooring

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Snapshot Mueller spectropolarimeter imager

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Microsystems & Nanoengineering 2023年第5期9卷 271-279页

作者： Tianxiang dai Thaibao Phan Evan W.Wang Soonyang Kwon Jaehyeon Son Myungjun Lee Jonathan A.Fan Department of Electrical Engineering Stanford UniversityStanfordCA 94305USA Equipment R&D Team 4 Mechatronics ResearchSamsung Electronics Co.LtdGyeonggi-do 18848Republic of Korea

We introduce an imaging system that can simultaneously record complete Mueller polarization responses for a set of wavelength channels in a single image *** division-of-focal-plane concept combines a multiplexed illumination scheme based on Fourier optics together with an integrated telescopic light-field imaging ***-resolved imaging is achieved using broadband nanostructured plasmonic polarizers as functional pinhole *** recording of polarization and wavelength information on the image sensor is highly *** also develop a calibration approach based on a customized neural network architecture that can produce calibrated measurements in *** a proof-of-concept demonstration,we use our calibrated system to accurately reconstruct a thin film thickness map from a four-inch *** anticipate that our concept will have utility in metrology,machine vision,computational imaging,and optical computing platforms.

关键词： polarization image Snapshot

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An Automated deep Learning-based VAr for Enhancing referee decision-Making in Football 3

An Automated Deep Learning-based VAR for Enhancing Referee D...

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3rd International Conference on Intelligent data Communication Technologies and Internet of Things, IdCIoT 2025

作者： Zaken, Hamza Abu Prasanth, A. Jahjah, Mohamad Ali Department of Computer Science and Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai India

ISBN: (纸本)9798331527549

While football is the most popular sport the world has ever seen, the question of referee decision-making has always been a shadow that hampers the spirit and justice of the game. Video Assistant referee (VAr) was introduced to solve officiating errors through video reviews. Nonetheless, this technology has drawn heavy criticism for causing huge delays and not completely eradicating referee bias. In this research, a Tube Convolutional Neural Network (T-CNN) model is incorporated into a new VAr system as an advanced solution. By allowing for the input of spatial and temporal features for football footage, the T-CNN model processes features which allows for rapid and accurate analysis of complex match events such as offsides, fouls, and goal-line incidents. The proposed system makes gameplay more real-time while ensuring fairness by minimizing human involvement and the consequent delays in the decision-making process. Additionally, its unbiased AI-driven decisions also eliminate the challenge of home team bias. Comparative analyses with traditional VAr methods established that the T-CNN system achieves greater accuracy rate, real-time responsiveness, and fairness, ultimately transforming football officiating. © 2025 IEEE.

关键词： Convolutional neural networks

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Transforming Ophthalmology: A CNN-Based Mechanism for diabetic retinopathy Screening 4

Transforming Ophthalmology: A CNN-Based Mechanism for Diabet...

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4th International Conference on Power, Control and Computing Technologies, ICPC2T 2025

作者： Vinod, dasari Naga Sai Varshim, N. Shukriya, M. Sai Manusha, G. Department of Electronics and Communication Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai India

ISBN: (纸本)9798331530402

diabetic retinopathy (dr) is a solemn eye ailment that can root vision loss if not diagnosed. It is a complication of diabetes and is caused when high blood sugar destroys the retina. While dr cannot be reversed, early detection and treatment can prevent or slow down vision loss. Traditional physical prognosis of dr by ophthalmologists can be inefficient, prone to errors, and expensive. Computer-aided finding systems, especially those using deep learning mechanisms, have produced great promise by enhancing the accuracy of dr recognition. Convolutional Neural Networks (CNNs) are a particular kind of deep learning mechanism that has been highly successful in analyzing medical images. In this study, we achieved a 95% accuracy in detecting dr using a CNN-based approach. © 2025 IEEE.

关键词： Convolutional neural networks

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The Internet of Healthcare Things (IoHT): developing Patient Care and Medical Outcomes with Connected Healthcare Technologies

The Internet of Healthcare Things (IoHT): Developing Patient...

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2025 International Conference on Intelligent Control, Computing and Communications, IC3 2025

作者： Arunachalam, P. Yugandhar, Alli. Nag, d. Manesh Sri reddy, P. Venkateswar Department of Biomedical Engineering VelTech Rangarajan Dr. Sugunthala R&D Institute of Science and Technology Avadi Chennai Tamilnadu India

ISBN: (纸本)9798331527495

Patient care and the outcomes of medical procedures are undergoing a transformation as a result of connected health care technologies. The Internet of Healthcare Things (IoHT), which is a subset of the Internet of Things (loT) that focuses on applications related to medical and health care, is the driving force behind this transition. The objective of this research is to analyze the development of technologies related to the Internet of Things (loT) and the impact that these technologies have had on the healthcare industry. To be more specific, the research studies how these technologies can improve patient monitoring, increase the effectiveness of treatment, and contribute to personalized medicine. Wearable technology, remote monitoring systems, and intelligent medical equipment are all subjects that are studied in this study, which focuses on clinical and home care settings. The study also concentrates on the usage of these technologies. Both the huge amounts of health data that are generated by devices connected to the Internet of Things (loT) and the role that data analytics and cloud computing play in the processing and interpretation of this data are analyzed as well. In terms of improving patient outcomes, lowering healthcare expenses, and increasing the efficiency with which healthcare is given, the research highlights the benefits of Internet of Health Technologies (loHT). In order to achieve this goal, a comprehensive analysis of case studies and applications that are grounded in the actual world is carried out. According to the findings, the Internet of Things has the potential to bring about a revolution in the healthcare industry. This opportunity arises from the fact that it makes it possible to implement proactive and preventive treatment approaches. Nevertheless, the research has also addressed the challenges that are associated with the Internet of Health Technologies (loHT). These challenges include issues over the privacy and security of data, as

关键词： Cloud Computing in Medicine Connected Health care Technologies Equipment Healthcare Costs Patient Outcomes Personalized Medicine remote Patient Monitoring Smart Medical Wearable devices

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CNNs for Early detection of Plant diseases: A deep Learning Perspective 6

CNNs for Early Detection of Plant Diseases: A Deep Learning ...

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6th International Conference on Mobile Computing and Sustainable Informatics, ICMCSI 2025

作者： Vinod, dasari Naga Sai revanth, r. Bhaskar, B. Jaya Prakash, P. Department of Electronics and Communication Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai India

ISBN: (纸本)9798331522667

In India, where agriculture sustains over 70% of the population, the impact of millet diseases on crop yield and economic outcomes for farmers cannot be overstated. With the advent of digitalization permeating various sectors, including agriculture, leveraging technology becomes imperative for enhancing productivity and ensuring food security. The ability to detect and manage Millet’s diseases efficiently is crucial for maximizing crop yield and minimizing losses. deep learning, mostly Convolutional Neural Networks (CNNs), has appeared as well as an influential tool in digital image processing, offering significant advantages over traditional methods. Leveraging CNNs for the recognition and categorization of Millet's diseases presents a promising solution to this longstanding challenge. The process of Millet's disease detection using CNN involves several key steps, together with acquiring images, initialization, partition, division, as well as disease identification. In conclusion, the integration of CNN-based Millet’s disease detection systems holds immense potential for revolutionizing agricultural practices in India. By connecting the supremacy of deep learning and digitalization, stakeholders can work towards confirming food security, increasing farm profitability, and promoting supportable agricultural practices. In this article, we obtained a 97.8% accuracy in detecting Plant diseases using a CNN-based approach. © 2025 IEEE.

关键词： Convolutional neural networks

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design, Validation, and risk Assessment of LLM-Based Generative AI Systems Operating in the Legal Sector 10

Design, Validation, and Risk Assessment of LLM-Based Generat...

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10th IEEE International Symposium on Systems engineering, ISSE 2024

作者： Buchicchio, Emanuele de Angelis, Alessio Moschitta, Antonio Santoni, Francesco Marco, Lucio San Carbone, Paolo Nomos Ai R&d Department Napoli Italy University of Perugia Department of Engineering Perugia Italy Nomos Ai Editorial Department Napoli Italy

ISBN: (纸本)9798350353723

Large Language Models (LLMs) are increasingly capable of supporting user decisions and performing various tasks autonomously in a wide range of professional domains, including the legal sector. In this work, we describe the general lifecycle of LLM-based systems and the architecture of a system designed to support legal experts in the process of generating maxims from judgments. We propose three application-specific performance metrics and a general-purpose assessment method suitable for the comparison of different systems in any content generation task. Finally, we discuss the results achieved by the system prototype that, according to a board of magistrates, outperforms human experts in the task of generating maxims from judgments. © 2024 IEEE.

关键词： Generative adversarial networks

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data-driven Healthcare:The role of Computational Methods in Medical Innovation

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Computer Modeling in engineering & Sciences 2025年第1期142卷 1-48页

作者： Hariharasakthisudhan Ponnarengan Sivakumar rajendran Vikas Khalkar Gunapriya devarajan Logesh Kamaraj Department of Mechanical Engineering Dr.Mahalingam College of Engineering and TechnologyPollachiCoimbatoreTamil Nadu642003India Department of Mechanical Engineering JKKN College of Engineering and TechnologyKumarapalayamNamakkalTamil Nadu637209India Department of Mechanical Engineering Gharda Institute of TechnologyLavelMaharashtra415708India Department of Electrical and Electronics Engineering Sri Eshwar College of EngineeringCoimbatoreTamilnadu641202India Department of Mechanical Engineering Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and TechnologyChennai600062India

The purpose of this review is to explore the intersection of computational engineering and biomedical science,highlighting the transformative potential this convergence holds for innovation in healthcare and medical *** review covers key topics such as computational modelling,bioinformatics,machine learning in medical diagnostics,and the integration of wearable technology for real-time health *** findings indicate that computational models have significantly enhanced the understanding of complex biological systems,while machine learning algorithms have improved the accuracy of disease prediction and *** synergy between bioinformatics and computational techniques has led to breakthroughs in personalized medicine,enabling more precise treatment ***,the integration of wearable devices with advanced computational methods has opened new avenues for continuous health monitoring and early disease *** review emphasizes the need for interdisciplinary collaboration to further advance this *** research should focus on developing more robust and scalable computational models,enhancing data integration techniques,and addressing ethical considerations related to data privacy and *** fostering innovation at the intersection of these disciplines,the potential to revolutionize healthcare delivery and outcomes becomes increasingly attainable.

关键词： Computational models biomedical engineering bioinformatics machine learning wearable technology

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Secure and reversible Medical Image Watermarking for E-Healthcare Applications 6

Secure and Reversible Medical Image Watermarking for E-Healt...

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6th International Conference on Mobile Computing and Sustainable Informatics, ICMCSI 2025

作者： Nandhini, K. rajkumar, r. Department of Electronics and Communication Engineering Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology Chennai India

ISBN: (数字)9798331522667

ISBN: (纸本)9798331522667

E-healthcare and mobile healthcare technologies have become increasingly important for efficient healthcare delivery in recent years due to the pandemic's needs for real-time data interchange. The electronic transfer of patient health records, including imaging reports, is made possible by the growing public networks connecting diagnostic labs and hospitals. However, this strategy is unsafe since outside attacks on public networks can expose private health information, leading to inaccurate diagnoses and treatments. To overcome such challenges, methods such as Medical Image Watermarking (MIW) and data encoding are employed to safeguard patient identities and identify instances of tampering. data security is crucial because outsourcing patient records and medical reports to servers exposes them to modification and illegal access. This study presents a new reversible watermarking technique with a large payload and minimal computational expenditure. It divides the medical image into a Border region (Br) and a Non-Border region (NBr). A pseudorandom key encrypts the Electronic Patient record (EPr), which is incorporated in the image after the NBr has been upscaled using Neighbor Mean Interpolation (NMI). The technique, which incorporates both local and global tamper detection, produces remarkable results with robustness against a range of threats and an average PSNr of 61.14 dB with average embedding and extraction times of 0.88 and 0.83 seconds, respectively, the approach is incredibly secure and effective, demonstrating its efficacy in comparison to contemporary, widely used techniques. © 2025 IEEE.

关键词： Electronic health record

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Study on the Wellbore reconstruction refracturing Technology Based on Expandable Tubular

Study on the Wellbore Reconstruction Refracturing Technology...

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2023 SPE/IAdC Middle East drilling Technology Conference and Exhibition, MEdT 2023

作者： Guo, H.J. Zhou, Y. Wang, B.d. Zhang, Q.L. Xu, B.G. Jao, T. Zhou, S.H. Drilling Mechanical Department CNPC Engineering Technology R&D Company Limited Beijing China

ISBN: (纸本)9781613999974

refracturing is a promising means to improve the output and estimated ultimate recovery of shale oil and gas resources, which is an efficient method to recover the productivity of low permeability old wells. refracturing has achieved good results in the development of shale gas wells in North America, and has increased output and decreased the extraction cost significantly of shale gas resources. The disadvantage of unable to control the fracturing fluid accurately of the conventional temporary plugging diverting refracturing technologies like chemical particulates has been exposed in the applications. Wellbore reconstruction technology based on the solid expandable tubular (SET) was studied in this paper, which is a permanent plugging diverting refracturing technology with a high sealing effect and simple operation. Technical principles, tool structures and construction processes were analyzed and relative laboratory tests were conducted to verify the feasibility of this technology. Meanwhile, comparisons between expandable tubular technology and other refracturing technologies were developed to analyze the application prospect in shale oil and gas resources. The indoor tests indicated that wellbore reconstruction technology based on expandable tubular can plug the perforation on the casing effectively with certain sealing pressure, which showed that this technology can realize the wellbore reconstruction to create the wellbore conditions for the next fracturing work. Compared with other temporary plugging refracturing technologies, the expandable tubular technology can achieve accurate control of fracturing fluid and has a better effect of refracturing work. At the same time, it has the advantages of simple operation and big internal diameter compared to other wellbore reconstruction methods like casing plugging technology, which means that bigger displacement can be used and better effect can be achieved in the refracturing work. The conclusions obtained in this

关键词： Oil field equipment

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