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Probabilistic Risk Framework for Nuclear- and Fossil-Powered Vessels: Analyzing Casualty Event Severity and Sub-Causes

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JOURNAL OF MARINE SCIENCE AND ENGINEERING 2025年第3期13卷 553-553页

作者： Tanyildizi-Kokkulunk, Handan Kokkulunk, Gorkem Settles, John Altinbas Univ Vocat Sch Hlth Serv Radiotherapy Program Bakirkoy Campus TR-34145 Istanbul Turkiye Yildiz Tech Univ Naval Architecture & Maritime Fac Marine Engn Dept TR-34349 Istanbul Turkiye Maine Maritime Acad Harold Alfond Sch Engn Engn Dept Castine Campus Castine ME 04420 USA

Maritime activities pose significant safety risks, particularly with the growing presence of nuclear-powered vessels (NPVs) alongside traditional fossil-powered vessels (FPVs). This study employs a probabilistic risk assessment (PRA) approach to evaluate and compare accident hazards involving NPVs and FPVs. By analyzing historical data from 1960 to 2024, this study identifies risk patterns, accident frequency (probability), and severity levels. The methodology focuses on incidents such as marine incidents, marine casualties, and very serious cases with sub-causes. Key findings reveal that Russia exhibits the highest risk for very serious incidents involving both NPVs and FPVs, with a significant 100% risk for NPVs. China has the highest FPV risk, while France and the USA show above-average risks, particularly for marine casualties and very serious incidents. Moreover, collision is the most significant global risk, with a 26% risk for NPVs and 34% for FPVs, followed by fire hazards, which also pose a major concern, with a 17% risk for NPVs and 16% for FPVs, highlighting the need for enhanced safety and fire-prevention measures. In conclusion, comparative analysis highlights the need for enhanced stability improvements, fire prevention, and maintenance practices, particularly in the UK, France, Russia, and China. This study underscores the importance of targeted safety measures to mitigate risks, improve ship design, and promote safer maritime operations for both nuclear- and fossil-fueled vessels.

关键词： nuclear-powered fossil-powered vessels maritime accident PRA

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Explainable Artificial Intelligence for Fault Diagnosis of Industrial Processes

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IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS 2025年第1期21卷 4-11页

作者： Jang, Kyojin Pilario, Karl Ezra Salgado Lee, Nayoung Moon, Il Na, Jonggeol Yonsei Univ Sch Chem & Biomol Engn Seoul 03722 South Korea Univ Philippines Diliman Dept Chem Engn Proc Syst Engn Lab Quezon City 1101 Philippines Seoul Natl Univ Dept Naval Architecture & Ocean Engn Seoul 08826 South Korea Ewha Womans Univ Grad Program Syst Hlth Sci & Engn Dept Chem Engn & Mat Sci Seoul 03760 South Korea

Process monitoring is important for ensuring operational reliability and preventing occupational accidents. In recent years, data-driven methods such as machine learning and deep learning have been preferred for fault detection and diagnosis. In particular, unsupervised learning algorithms, such as auto-encoders, exhibit good detection performance, even for unlabeled data from complex processes. However, decisions generated from deep-neural-network-based models are difficult to interpret and cannot provide explanatory insight to users. We address this issue by proposing a new fault diagnosis method using explainable artificial intelligence to break the traditional tradeoff between the accuracy and interpretability of deep learning model. First, an adversarial auto-encoder model for fault detection is built and then interpreted through the integration of Shapley additive explanations (SHAP) with a combined monitoring index. Using SHAP values, a diagnosis is conducted by allocating credit for detected faults, deviations from a normal state, among its input variables. The proposed diagnosis method can consider not only reconstruction space but also latent space, unlike conventional methods, which evaluate only reconstruction error. The proposed method was applied to two chemical process systems and compared with conventional diagnosis methods. The results highlight that the proposed method achieves the exact fault diagnosis for single and multiple faults and, also, distinguishes the global pattern of various fault types.

关键词： Indexes Monitoring Fault diagnosis Fault detection Data models Computational modeling Modeling Auto-encoder (AE) continuous stirred-tank reactor (CSTR) explainable AI fault diagnosis Tennessee Eastman (TE) process

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Self-Supervised Underwater Intelligent Perception for Deep-Sea Cage Aquaculture

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IEEE JOURNAL OF OCEANIC ENGINEERING 2025年第2期50卷 714-726页

作者： An, Shunmin Liu, Qifeng Zhang, Rui Xu, Lihong Wang, Linling Tongji Univ Shanghai Res Inst Intelligent Autonomous Syst Shanghai 200092 Peoples R China Univ New South Wales Ctr Big Data Res Hlth Sydney NSW 2052 Australia Harrisburg Univ Sci & Technol Comp Informat Sci Program Harrisburg PA 17109 USA Tongji Univ Coll Elect & Informat Engn Shanghai 200092 Peoples R China Chongqing Jiaotong Univ Sch Shipping & Naval Architecture Chongqing 200135 Peoples R China

In deep-sea net-pen aquaculture, underwater intelligent sensing is performed by an underwater camera for information acquisition, but underwater scattering and absorption effects affect the acquisition of underwater information. It is challenging to use neural networks to process the net tank aquaculture scenarios because the underwater data sets of the net tank aquaculture scenarios are not accessible. In this article, we propose a self-supervised deep-sea scene recovery method utilizing a homology constraint and a fusion strategy. Specifically, the scene radiation maps are derived based on a neural network and a prior extraction architecture, respectively, and two scene radiation maps originate from two different computational regimes. Finally, the perceptual fusion strategy is used to blend two scene radiation maps to obtain better performing results and minimize the error using the homology constraint. Extensive experiments confirm that the approach using perceptual fusion has excellent recovery capabilities. It is demonstrated through extensive experiments that our method outperforms state-of-the-art methods in terms of both visual quality and quantitative metrics.

关键词： Aquaculture Neural networks Imaging Image reconstruction Image color analysis Mathematical models Lighting Visualization Transformers Knowledge engineering Net cage aquaculture perceptual fusion self-supervised learning underwater imaging visual enhancement

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A Neuroelectronic Interface with Microstructured Substrates for Spiral Ganglion Neurons Cultured In Vitro: Proof of Concept

BIOSENSORS-BASEL

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BIOSENSORS-BASEL 2025年第4期15卷 224-224页

作者： Delipetar, Boris Krolo, Jelena Zarkovic Bedalov, Ana Kovacic, Damir Univ Split Fac Sci Dept Phys Rudera Boskovica 33 Split 21000 Croatia Univ Split Ctr Res Excellence Sci & Technol Integrating Medi Rudera Boskovica 31 Split 21000 Croatia Univ Split Fac Elect Engn Mech Engn & Naval Architecture Doctoral Program Mech Engn Rudera Boskovica 32 Split 21000 Croatia Univ Split Fac Sci Doctoral Program Biophys Rudera Boskovica 33 Split 21000 Croatia Bedalov doo Res Dev & Consulting Ul T Antunovica 17 Kastel Sucurac 21212 Croatia

In this study, we present a proof-of-concept neuroelectronic interface (NEI) for extracellular stimulation and recording of neurophysiological activity in spiral ganglion neurons (SGNs) cultured in vitro on three-dimensional, micro-patterned substrates with customized microtopographies, integrated within a 196-channel microelectrode array (MEA). This approach enables mechanotaxis-driven neuronal contact guidance, promoting SGN growth and development, which is highly sensitive to artificial in vitro environments. The microtopography geometry was optimized based on our previous studies to enhance SGN alignment and neuron-electrode interactions. The NEI was validated using SGNs dissociated from rat pups in the prehearing period and cultured for seven days in vitro (DIV). We observed viable and proliferative cellular cultures with robust neurophysiological responses in the form of local field potentials (LFPs) resembling action potentials (APs), elicited both spontaneously and through electrical stimulation. These findings provide deeper insights into SGN behavior and neuron-microenvironment interactions, laying the groundwork for further advancements in neuroelectronic systems.

关键词： neuroelectronic interface microelectrode array neuronal contact guidance substrate topography in vitro spiral ganglion neurons spontaneous action potentials

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Reference for determining Phillip's constant values and peak enhancement factor for the use of JONSWAP spectrum in Western Java Sea waters

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RESULTS IN ENGINEERING 2025年 26卷

作者： Panalaran, Satriyo Suntoyo Sulisetyono, Aries Arifianto, Dhany Ramdhani, Andri Pratikto, Widi Agoes Inst Teknol Sepuluh Nopember Fac Marine Technol Ocean Engn Dept Surabaya 60111 Indonesia Inst Teknol Sepuluh Nopember Fac Marine Technol Naval Architecture Dept Surabaya 60111 Indonesia Inst Teknol Sepuluh Nopember Fac Ind Technol & Syst Engn Engn Phys Dept Surabaya 60111 Indonesia Inst Teknol Sumatera Fac Infrastructure Technol & Reg Dev Ocean Engn Undergraduate Program Lampung Selatan 35365 Indonesia Meteorol Climatol & Geophys Agcy BMKG Jakarta 10610 Indonesia

Several researchers have attempted to find a suitable spectrum model for Indonesian waters, but these references do not provide a common understanding of defining a spectrum model. This prompted the researcher to reassess the applicability of the wave spectrum model in Indonesia based on more appropriate data sources and systematic work procedures. This research is based on time series wave profile measurement data, which are then transformed into power spectral density curves (referred to as spectrum curves). From a number of obtained spectrum curves, this study aims to recommend key parameter values that indicate the shape of the spectrum in the western Java Sea so that it can be applied to the needs of marine building design. The procedures carried out in this study include: adjustment of the values of the key parameters of the JONSWAP spectrum (alpha and gamma);matching against a number of spectrum models;evaluation of the distribution functions to define the values of alpha and gamma;as well sensitivity test. The results of this study recommend alpha 0.99 = 0.00943 and gamma 0.99 = 2.11 for application in marine building design, as well alpha 0.5 = 0.00163 and gamma 0.5 = 1.07 for application in operational studies.

关键词： Wave spectrum Probability distribution fitting JONSWAP parameter Western Java Sea

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Sustainable brand logo selection using an AI-Supported PF-WENSLO-ARLON hybrid method

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EXPERT SYSTEMS WITH APPLICATIONS 2025年 260卷

作者： Kara, Karahan Ergin, Elif Akagun Yalcin, Galip Cihan Celik, Tugce Deveci, Muhammet Kadry, Seifedine Izmir Demokrasi Univ Fac Econ & Adm Sci Dept Business TR-35140 Izmir Turkiye OSTIM Tech Univ Dept Mkt TR-06374 Ankara Turkiye Kirikkale Univ Math Program TR-71450 Yahsihan Kirikkale Turkiye OSTIM Tech Univ Fac Architecture & Design Dept Interior Architecture & Environm Design TR-06374 Ankara Turkiye Natl Def Univ Turkish Naval Acad Dept Ind Engn TR-34942 Istanbul Turkiye Imperial Coll London Royal Sch Mines London SW7 2AZ England Western Caspian Univ Dept Informat Technol Baku 1001 Azerbaijan Lebanese Amer Univ Dept Comp Sci & Math Beirut Lebanon Middle East Univ MEU Res Unit Amman 11831 Jordan

Brands use logos to reflect their identities and convey their company character to target customers. Logos not only represent brand value but also provide various information about brands. Companies aiming to emphasize sustainable brand value also seek to showcase this aspect in their logos. Therefore, sustainable brand design and development are preferred. The focus of this research is on sustainable brand development through Artificial Intelligence-supported logo design and developing a decision support system for selecting the best logo among Artificial Intelligence-generated logos. In this study, Artificial Intelligence-supported logo design is explained, and the Multi Attribute Group Decision Making approach is adopted for identifying the best logo among the obtained logos. The Picture Fuzzy - Weights by Envelope and Slope - Alternative Ranking using Two-Step Logarithmic Normalization hybrid method is proposed for logo decision-making, combining the Weights by Envelope and Slope criterion weighting method using picture fuzzy sets with Alternative Ranking using Two-Step Logarithmic Normalization alternative ranking methods. Additionally, the Picture Fuzzy Yager Weighted Average aggregation operator based on Yager t-norm and t-conorm operations is employed. The steps of the hybrid method are outlined, and its algorithm is formulated. To test the applicability and robustness of the algorithm, sustainable logo design for an architectural firm is developed and executed as a real-case study. The research concludes that Artificial Intelligence-supported sustainable logo design can be achieved, and the hybrid method can support determining the best logo based on expert opinions. Based on the research findings, the hybrid method is recommended for sustainable logo design and selection.

关键词： Sustainable Brand Logo Artificial Intelligence-Supported Logo Design Picture Fuzzy Sets Weights by Envelope and Slope Method Alternative Ranking using Two-Step Logarithmic Normalization Method Picture Fuzzy Yager Weighted Average Aggregation Operator

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THE DEVELOPMENT OF NEW TYPE FREE-FALL LIFEBOAT USING FLUID STRUCTURE INTERACTION ANALYSIS

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JOURNAL OF MARINE SCIENCE AND TECHNOLOGY-TAIWAN 2016年第3期24卷 575-580页

作者： Zakki, Ahmad Fauzan Windyandari, Aulia Bae, Dong Myung Diponegoro Univ Dept Naval Architecture Semarang Central Java Indonesia Diponegoro Univ Naval Architecture Dept Vocat Program Semarang Central Java Indonesia Pukyong Natl Univ Dept Naval Architecture & Marine Syst Engn Busan South Korea

Freefall lifeboats provide a safe alternative to conventional lifeboats for emergency evacuation from ships and offshore platforms. The international regulations require that a lifeboat for free-fall launching should be able to give protection against impact accelerations when it is launched with its full occupants and equipment from at least the maximum designed height. Since the height of offshore structure to the water surface is significantly high, during the water entry phase the acceleration response of the free-fall lifeboat might cause an injury to the occupants. The special hull form design should be applied to reduce the acceleration. The aim of the research is to develop a new type freefall lifeboat for the evacuation system on offshore platform. The new hull form design is proposed and investigated, especially on the acceleration response due to slamming load. The Fluid Structure Interaction (FSI) analysis with the penalty coupling method is used for estimating the acceleration response. The numerical results were compared with the requirements of the IMO regulations.

关键词： acceleration response fluid structure interaction analysis occupants safety freefall lifeboat

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GIS-based floating offshore wind turbine installation site selection using fuzzy analytic hierarchy process in northeast Aegean Sea

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BRODOGRADNJA 2024年第2期75卷

作者： Erkurtulmus, Selahattin Alp Pesman, Emre Yalova Univ Altinova Vocat Sch Naval Architecture Program Yalova Turkiye Karadeniz Tech Univ Surmene Fac Marine Sci Naval Architecture & Marine Engn Dept Trabzon Turkiye

The ever-increasing consumption of electrical energy due to increasing requirements arising in parallel with the developing technology forces manufactures and users to seek new and environmentally compatible energy resources. Due to it endless energy potential and continuity, wind energy, which has been used by humanity for various purposes for centuries, continues its journey, which started with windmills that transform one form of mechanical energy into another, with offshore wind energy turbines. In this study, installation site selection, which is the first step for floating offshore wind turbine installation, is carried out. First, a Fuzzy Analytic Hierarchy Process (F-AHP) is applied to obtain the weights of criteria. Transformed alternatives and criteria in a fuzzy decision matrix through triangular fuzzy numbers are used to obtain a database via a Geographic Information System (GIS). Finally, the installation site and study area are determined. This area is located in the Northeast Aegean Sea, between & Ccedil;anakkale and G & ouml;kgeada, 12 km to the northeast of G & ouml;kgeada, and 12 square kilometers. The minimum distance of the area to ship routes is 3000 m, and its minimum distance to fault lines is 2000 m. The average sea depth is 110 m, and the average wind speed is 9.26 m/s (18 knots). With this potential, enough energy can be generated for settlements on G & ouml;kgeada and the coastlines.

关键词： Floating offshore wind turbine Fuzzy Analytic Hierarchy Process (F-AHP) Geographic Information System (GIS) G & ouml kgeada North Aegean Sea

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Energy flow model considering near field energy for predictions of acoustic energy in low damping medium

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JOURNAL OF SOUND AND VIBRATION 2011年第2期330卷 271-286页

作者： Kim, Jong-Do Hong, Suk-Yoon Kwon, Hyun-Wung Song, Jee-Hun Seoul Natl Univ Dept Naval Architecture & Ocean Engn Seoul South Korea Chonnam Natl Univ Engn Program Naval Architecture & Ocean Engn Coll Marine Technol Yeosu Chonnam South Korea

The Acoustic Energy Flow Boundary Element Method (AEFBEM) is developed to predict the acoustic energy density and intensity of an engineering system. Up to now, the acoustic energy flow model has been used only for analysis of high frequencies or radiation noise because of plane wave and far-field assumptions. In this research, a new energy flow governing equation that can consider the near field acoustic energy term and spherical wave characteristics is derived successfully to predict the acoustic energy density and intensity of a system in the medium-to-high frequency range. A near field term of acoustic energy in spherical coordinate is added to the relationship between energy density and energy flow. But with the far-field assumption, this term vanishes, so the relationship between energy density and energy flow becomes the same as that of the plane wave. By considering the near field energy term without far-field assumption, the energy density at medium frequencies can be estimated. However, the governing equation has to be numerically manipulated for use in the analysis of complex structures;therefore, the Boundary Element Method (BEM) is implemented. AEFBEM is a numerical analysis method formulated by applying the boundary element method to an acoustic energy flow governing equation. It is very powerful in predicting the acoustic energy density and intensity of complex structures in medium-to-high frequency ranges, and can analyze interior noise and radiating sound. To verify its validity, several numerical results are provided. BEM and AEFBEM were compared with respect to energy density, and the results from both methods were similar. (C) 2010 Elsevier Ltd. All rights reserved.

关键词： DAMPING (Mechanics) SOUND BOUNDARY element methods NUMERICAL analysis MARINE engineering OCEANOGRAPHY DENSITY EQUATIONS

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Development of a time domain prediction method for hull pressure fluctuation induced by marine propeller sheet cavitation with consideration of scattering effects

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JOURNAL OF MARINE SCIENCE AND TECHNOLOGY 2012年第3期17卷 276-290页

作者： Kim, Jong-Do Hong, Suk-Yoon Song, Jee-Hun Seoul Natl Univ Dept Naval Architecture & Ocean Engn Seoul South Korea Chonnam Natl Univ Program Naval Architecture & Ocean Engn Coll Marine Technol Yeosu 550749 Chonnam South Korea

Using a time domain acoustic analogy, we develop a method to predict the sound field and hull pressure fluctuation generated by unsteady sheet cavitation on marine propellers. Formulation 1A of Farassat is introduced to enhance theoretical understanding of this work, and it is applied to modeling the scattered sound field created by the fuselage boundary. To express the direct sound field resulting from sheet cavitation, a new solution is studied which considers the Doppler effect and also separately expresses the near and far fields. A small cube model is used to verify the method. Computed acoustic field pressures around the cube are compared with the boundary element method, and the numerical results show good agreement. Finally, the pressure fluctuation on a ship stern model is calculated.

关键词： Underwater propeller noise Scattering Acoustic analogy Cavitation noise Pressure fluctuation

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