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Structural impact under accidental LNG release on the LNG bunkering ship: Implementation of advanced cryogenic risk analysis

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Process Safety and Environmental Protection 2024年 186卷 329-347页

作者： Nubli, Haris Jung, Dongho Kim, Sang Jin Sohn, Jung Min Department of Naval Architecture and Marine System Engineering Pukyong National University Korea Republic of Department of Offshore Platform Research Division Korea Reseacrch Institute of Ships and Ocean Engineering Korea Republic of Department of Marine Environment and Engineering National Sun Yat-sen University Kaohsiung Taiwan Department of Marine Design Convergence Engineering Pukyong National University Korea Republic of

The potential risk associated with the accidental release of Liquefied Natural Gas (LNG) is a notable concern during the design phase of gas-handling facilities. One of the risk is an excessive cryogenic exposure to structures or equipment, leading to hazardous situations. This study aims to introduce a novel method that implements Advanced Cryogenic Risk Analysis (ACRA) to enhance the safety of LNG bunkering ship structure in case of cryogenic flow leakage. The method involves evaluating thermal loads based on the preceding simulated LNG release scenarios using Computational Fluid Dynamics (CFD). These thermal parameters are then employed in structural analysis through the Finite Element (FE) approach. The integration of thermal data from CFD simulations into the FE model was achieved using the Random Forest algorithm. The LNG bunkering structure is represented using DH36-grade steel material. Furthermore, to accurately capture the mechanical properties of DH36 steel, cryogenic tensile tests were conducted across a temperature range from 298.15 K to 113.15 K. The resulting stress-strain data from these tests were utilized to establish a reliable material model for conducting FE analysis. This paper comprehensively presents a novel ACRA procedure by utilizing physical parameter of the gas release cosnequence such as the steel temperature profile to identify the brittle failure under the accidental gas release on the LNG bunkering ship. In addition, quantitative risk analysis (QRA) was also presented regarding the cryogenic spill hazard, to link the probability and consequence aspects of the LNG bunkering risk, particularly the results of steel temperature, stress, and strain experienced by the ship's structure. Furthermore, the individual risk was also estimated. The implications of the findings are discussed in detail regarding the cryogenic risk, cryogenic tensile test and numerical analyses. © 2024 The Institution of Chemical Engineers

关键词： Hazardous materials spills

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Integration of Reinforcement Learning in Industrial Pick-and-Place Robotics 21

Integration of Reinforcement Learning in Industrial Pick-and...

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21st International Bhurban Conference on Applied Sciences and Technology, IBCAST 2024

作者： Ul Ain Mushtaq, Noor Narejo, Sanam Memon, Madeha Korai, Fahad Ahmed Abbas, Azhar Jatoi, Sahil Mehran University of Engineering and Technology Department of Computer System Engineering Jamshoro Pakistan Tampere University Department of Biomedical Sciences and Engineering Tampere Finland Mehran University of Engineering and Technology Department of Biomedical Engineering Jamshoro Pakistan

ISBN: (纸本)9798331516680

Industrial robots have significantly transformed manufacturing processes and are increasingly revolutionizing sectors such as logistics, healthcare, agriculture, and construction by enhancing efficiency, quality, and safety, making them indispensable tools for modern industries. Industrial pick-and-place robotics, while significantly advancing, still faces several challenges like Object variability, Environmental factors, Task complexity, Precision and speed. Reinforcement learning (RL) offers a transformative approach to industrial pick-and-place robotics, addressing the limitations of traditional, pre-programmed methods. In order to overcome these challenges, the present research explores how reinforcement learning (RL) may assist robots to determine optimal picking and placing techniques without requiring explicit programming. We developed a framework that employs deep reinforcement learning (DRL) to create an autonomous pick-and-place system. Using Gazebo and ROS, we designed a simulated environment where the robotic arm is trained with Proximal Policy Optimization (PPO) and Deep Q-Network (DQN) algorithms. © 2024 IEEE.

关键词： Reinforcement learning

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Scanning-sonar Image Matching Algorithm Using Overlapping Region Detection and ICP

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Journal of Institute of Control, Robotics and systems 2024年第3期30卷 226-233页

作者： Lee, Gwonsoo Choi, Kihwan Lee, Phil-Yeob Yoon, Suk-Min Son, Juwon Lee, Jihong Research Institute of Future Mobility System of Chungnam National University Korea Republic of Department of Mechatronics Engineering of Chungnam National University Korea Republic of Hanhwa System Korea Republic of

This paper describes a method for matching scanning-sonar images using the iterative closest point (ICP) algorithm. In the case of scanning-sonar, data cannot be taken while moving, resulting in only a partial overlap between the datasets. Furthermore, the ICP algorithm is based on point-cloud data, requiring three-dimensional data. However, scanning-sonar images are two-dimensional data. These issues make it challenging to match scanning-sonar images using the ICP algorithm. This study proposes a three-step method as a solution to address the challenge. First, the overlapping area between two scanning-sonar images is estimated using the localization result from a navigation algorithm. Second, a method is proposed for transforming two-dimensional image coordinates and pixel intensities into three-dimensional data. Lastly, feature points are extracted from noisy data using histograms. The proposed algorithm was validated using scanning-sonar images collected from a real-sea environment. The experimental results showed that the proposed algorithm successfully matches scanning-sonar images. © ICROS 2024.

关键词： Computerized tomography

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Impact of Process-Induced Inclined Side-Walls on Gate Leakage Current of Nanowire GAA MOSFETs

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IEEE Transactions on Electron Devices 2024年第3期71卷 2196-2202页

作者： Maniyar, Ashraf Raj, Pushp Srinivas, P.S.T.N. Kumar, Arun Chang-Liao, Kuei-Shu Tiwari, Pramod Kumar Indian Institute of Technology Patna Department of Electrical Engineering Bihar Patna801106 India Vellore Institute of Technology School of Electronics Engineering Vellore801106 India National Institute of Technology Silchar Department of Electronics and Communication Engineering Silchar788010 India National Tsing Hua University Department of Engineering and System Science Hsinchu30013 Taiwan

In this work, the influence of process-induced sidewall inclination on direct tunneling gate leakage current (IG) in the trapezoidal (Tz) channel NW GAA MOSFETs has been comprehensively investigated using experimental data and the TCAD simulations results. Variability in device parameters as channel length, height, and width have been taken into account when we examined gate leakage current. The side-wall inclination angle has a significant influence on the gate leakage current, where a rise in IG of up to two times is observed when the inclination angle is increased from 0 to 20. Moreover, it has also been observed that the direct tunneling gate leakage current is significantly influenced by the gate overlap and underlap areas. © 1963-2012 IEEE.

关键词： III-V semiconductors

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Aerodynamic Study of Different Types of Wingtip Devices

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Periodica Polytechnica Transportation engineering 2025年第1期53卷 77-86页

作者： Pálfi, Tamás Ficzere, Péter Department of Railway Vehicles and Vehicle System Analysis Faculty of Transportation Engineering and Vehicle Engineering Budapest University of Technology and Economics Műegyetem rkp. 3. BudapestH-1111 Hungary

The economic system of the 21st century requires technological solutions that ensure economical and sustainable passenger and freight transport, also by air. To this end, aircraft manufacturers are constantly working to make their aircraft as economical as possible. The aim of the research is to examine the effectiveness of the CFD simulation programs by conducting wind tunnel tests. This research also studies different types of wingtip devices then compares the results to determine the most effective one in terms of aerodynamical drag reduction. In the course of the research, we test wingtip devices of various designs in a self-built wind tunnel, and then compare the measured data with the results of the computer simulation. © 2025 Budapest University of Technology and Economics. All rights reserved.

关键词： Wind tunnels

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Modeling the Percentage of NEET in Indonesia with Spatial Cauchy Regression through the Bayesian Analysis Approach

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IAENG International Journal of Applied Mathematics 2024年第7期54卷 1288-1295页

作者： Rantini, Dwi Fakhruzzaman, Muhammad Noor Ningrum, Ratih Ardiati Othman, Fazidah Choir, Achmad Syahrul Ramadan, Arip Alya, Najma Attaqiya Putri, Elfira Rahma Pratama, Muhammad Alfian Engineering Department Data Science Technology Study Program Faculty of Advanced Technology and Multidiscipline Universitas Airlangga Indonesia Engineering Department Data Science Technology Study Program Faculty of Advanced Technology andMultidiscipline Universitas Airlangga Indonesia Department of Computer System and Technology Faculty of Computer Science and Information Technology University of Malaya Malaysia Statistical Computing StudyProgram Politeknik Statistika STIS Indonesia Information System Study Program School of Industrial and System Engineering Telkom University Indonesia

Indonesia has entered a period of demographic bonus. Human resources must be optimized. The number of children who do not in employment, education or training (NEET) in each province needs attention. Several factors that could contribute to the decline in the NEET percentage are literacy rates and the number of adolescents with computer skills. Increasing these two factors is believed to be able to reduce the percentage of NEET in every province in Indonesia. To find out the relationship between these two factors and how much influence they have on the percentage of NEET, this research is modeled by Cauchy regression and includes spatial effects. The results of the analysis show that the best model is when the spatial effect is modeled by Fernandez Steel Skew Normal conditionally autoregressive (FSSN CAR). This result is seen from the smallest value of the Watanabe Akaike Information Criterion (WAIC) in this model, which is 190.5. The parameter estimated shows that the higher the literacy rate and the number of adolescents with computer skills, the lower the percentage of NEET in each province in Indonesia. The results of this research can be useful for the Indonesian government to increase the number of educational facilities related to these two factors. © (2024), (International Association of Engineers). All rights reserved.

关键词： Bayesian CAR Cauchy Education NEET

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Architecture of AC-DC Energy Nodes in Supergrids: A Technical Foundation for Future Renewable Integration 5

Architecture of AC-DC Energy Nodes in Supergrids: A Technica...

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5th National and the 1st International Conference on Applied Research in Electrical engineering, AREE 2025

作者： Mousavi, Mohammad Hossein Moradi, Hassan Rouzbehi, Kumars Razi University Department of Computer and Electrical Engineering Kermanshah Iran University of Seville Department of System Engineering and Automatic Control Seville Spain

ISBN: (纸本)9798350377170

The AC-DC Energy Nodes (ADENs) concept offers a transformative approach to modernizing power grids, particularly in the context of supergrids. By centralizing power flows from diverse renewable energy sources, such as offshore wind farms, ADENs enable efficient long-distance power transmission through HVDC technology. This design enhances the balance of supply and demand across regions and countries, significantly improving grid stability and resilience. However, the implementation of ADENs presents substantial technical, regulatory, and cybersecurity challenges. This study delves into these challenges while also addressing the geopolitical complexities of transnational connections, underscoring the critical importance of policy alignment for successful deployment. © 2025 IEEE.

关键词： Wind power integration

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Investigation of Radiation Effect on Ge P-Channel Ferroelectric FET Memory

IEEE Electron Device Letters

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IEEE Electron Device Letters 2023年第6期44卷 927-930页

作者： Peng, Hao-Kai Chen, Jian-Zhi Lee, Kai-Sheun Huang, Kai-Yang Wu, Yung-Hsien National Tsing Hua University Department of Engineering and System Science Hsinchu30013 Taiwan

Zr-doped HfO2(HZO)-based germanium (Ge) p-channel ferroelectric FET (p-FeFET) memory devices with microwave annealing (MWA) followed by rapid thermal annealing (RTA) are employed as the platform to investigate the impact of $\gamma $ -ray radiation on the device performance. With a radiation dose of 1 Mrad, the memory window (MW) degrades from 2.5 V to 2.0 V accompanied by the significantly increased off-state current. The deleterious radiation effect is ascribed to the susceptible quality of the interface between the gate dielectric and source/drain region due to exacerbated charge trapping for the Ge substrate. These trapped charges also screen the polarization charges after applying a voltage pulse and lead to increased read-after-write latency. Nevertheless, compared with the irradiated HfO2-based FeFET memories in the literature, the Ge p-FeFETs in this work demonstrate competitive anti-radiation capability in terms of a large MW of 1.5 V even after $10^{{5}}$ cycles by bipolar stress (±4 V/ $1~\mu \text{s}$ ) and desirable retention up to 10 years under low voltage operation. © 1980-2012 IEEE.

关键词： Ferroelectricity

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A Multi-Bit ECRAM-Based Analog Neuromorphic system With High-Precision Current Readout Achieving 97.3% Inference Accuracy

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IEEE Transactions on Biomedical Circuits and systems 2025年第3期19卷 590-604页

作者： Um, Minseong Kang, Minil Eom, Kyeongho Kwak, Hyunjeong Noh, Kyungmi Lee, Jimin Son, Jeonghoon Kwon, Jiseok Kim, Seyoung Lee, Hyung-Min Korea University School of Electrical Engineering Seoul02841 Korea Republic of Korea University Department of Semiconductor System Engineering Seoul02841 Korea Republic of Pohang University of Science and Technology Department of Materials Science and Engineering Pohang37673 Korea Republic of The Catholic University of Korea School of Information Communications and Electronic Engineering Bucheon14662 Korea Republic of

This article proposes an analog neuromorphic system that enhances symmetry, linearity, and endurance by using a high-precision current readout circuit for multi-bit nonvolatile electro-chemical random-access memory (ECRAM). For on-chip training and inference, the system uses activation modules and matrix processing units to manage analog update/read paths and perform precise output sensing with feedback-based current scaling on the ECRAM array. The 250nm CMOS neuromorphic chip was tested with a 32 × 32 ECRAM synaptic array, achieving linear and symmetric updates and accurate read operations. The proposed circuit system updates the 32 × 32 ECRAM across 100 levels, maintaining consistent synaptic weights, and operates with an output error rate of up to 2.59% per column. It consumes 5.9 mW of power excluding the ECRAM array and achieves 97.3% inference accuracy on the MNIST dataset, close to the software-confirmed 97.78%, with only the final layer (64 × 10) mapped to the ECRAM. © 2007-2012 IEEE.

关键词： CMOS integrated circuits

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Development of vehicle-recognition method on water surfaces using LiDAR data:SPD^(2)(spherically stratified point projection with diameter and distance)

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Defence Technology（防务技术） 2024年第6期36卷 95-104页

作者： Eon-ho Lee Hyeon Jun Jeon Jinwoo Choi Hyun-Taek Choi Sejin Lee The Department of Mechanical Engineering Kongju National University1223-24 Cheonan-daeroCheonan 31080Republic of Korea Ocean System Engineering Research Division Korea Research Institute of Ships and Ocean Engineering(KRISO)Daejeon 34103Republic of Korea The Division of Mechanical&Automotive Engineering Kongju National University1223-24 Cheonan-daeroCheonan 31080Republic of Korea

Swarm robot systems are an important application of autonomous unmanned surface vehicles on water *** monitoring natural environments and conducting security activities within a certain range using a surface vehicle,the swarm robot system is more efficient than the operation of a single object as the former can reduce cost and save *** is necessary to detect adjacent surface obstacles robustly to operate a cluster of unmanned surface *** this purpose,a LiDAR(light detection and ranging)sensor is used as it can simultaneously obtain 3D information for all directions,relatively robustly and accurately,irrespective of the surrounding environmental *** the GPS(global-positioning-system)error range exists,obtaining measurements of the surface-vessel position can still ensure stability during platoon *** this study,a three-layer convolutional neural network is applied to classify types of surface *** aim of this approach is to redefine the sparse 3D point cloud data as 2D image data with a connotative meaning and subsequently utilize this transformed data for object classification ***,we have proposed a descriptor that converts the 3D point cloud data into 2D image *** use this descriptor effectively,it is necessary to perform a clustering operation that separates the point clouds for each *** developed voxel-based clustering for the point cloud ***,using the descriptor,3D point cloud data can be converted into a 2D feature image,and the converted 2D image is provided as an input value to the *** intend to verify the validity of the proposed 3D point cloud feature descriptor by using experimental data in the ***,we explore the feasibility of real-time object classification within this framework.

关键词： Object classification Clustering 3D point cloud data LiDAR(light detection and ranging) Surface vehicle

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