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2024 31st International Conference on Nuclear engineering, ICONE 2024

作者： Zhou, Wen Miwa, Shuichiro Okamoto, Koji Okawa, Tomio Tsujimura, Ryoma Nguyen, Thanh-Binh Department of Nuclear Engineering and Management School of Engineering University of Tokyo Tokyo Japan Department of Mechanical & Intelligent Systems Engineering The University of Electro-Communications Tokyo Japan

ISBN: (纸本)9780791888315

Subcooled flow boiling plays a pivotal role in various industrial applications, including nuclear reactors and thermal management systems. However, the rapid and complex changes of condensing bubbles experience from their inception to collapse in subcooled flow boiling present substantial obstacles for conventional bubble detection methods, especially when it comes to condensation bubbles. In light of this, a state-of-the-art AI method is developed and validated for the efficient detection and tracking of condensation bubbles in subcooled flow boiling, thereby enabling the effective execution of thermal hydraulic analyses. This study initially employs computer vision technology to efficiently construct a bubble dataset. Subsequently, a bubble detection model is trained based on this dataset and the YOLOv8 with attention mechanism. Utilizing the results of bubble detection, a multi-object tracking algorithm is then applied to track all bubbles in each frame. The developed AI-based method exhibits a strong ability to detect 95% of condensation bubbles in subcooled flow boiling, additionally, it streamlines the extraction of critical thermal hydraulic parameters, including void fraction, bubble lifetime, and nucleation site density. The model's accuracy and consistency is demonstrated compared to empirical correlations, affirming its reliability in analyzing the intricate dynamics of subcooled flow boiling. © 2024 by ASME.

关键词： Void fraction

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Sentiment analysis in social internet of things using contextual representations and dilated convolution neural network

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Neural Computing and Applications 2024年第20期36卷 12357-12370页

作者： Abid, Fazeel Rasheed, Jawad Hamdi, Mohammed Alshahrani, Hani Al Reshan, Mana Saleh Shaikh, Asadullah Department of Information Systems Dr. Hassan Murad School of Management University of Management and Technology Lahore Pakistan Department of Computer Engineering Istanbul Sabahattin Zaim University Istanbul34303 Turkey Department of Software Engineering Istanbul Nisantasi University Istanbul34394 Turkey Department Computer Science College of Computer Science and Information Systems Najran University Najran61441 Saudi Arabia Department Information Systems College of Computer Science and Information Systems Najran University Najran61441 Saudi Arabia

The methodologies based on neural networks are substantial to accomplish sentiment analysis in the Social Internet of Things (SIoT). With social media sentiment analysis, significant insights can produce efficient and intelligent applications. Neural networks such as recurrent neural networks (RNNs) and convolution neural networks (CNNs) have been considered widely in many text classification tasks. However, RNNs are computationally expensive and require complex training to capture contextual information and long-term dependencies. Similarly, traditional CNNs must stack multiple convolutional layers, requiring massive computations and additional parameters. To address these problems, this work initialized the novel architecture, in which contextual representations (CRs) based on the textual framework are proposed at the initial step. In CRs, state-of-the-art word representation models, such as GloVe (global vectors) and FastText (subword information), collectively produce word representations upon the input sequence using a weight mechanism. Secondly, a unique way is introduced: a three-parallel layered dilated convolutional network with global mean pooling. The experimental results show that the proposed methods when compared with baseline methods, the dilation in CNNs following CRs significantly increases the accuracy from 72.45 to 98.98% and reduces computational resources. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2024.

关键词： Sentiment analysis

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Analysing the Indicators and the Associated Recommendations of Household Emission Calculators

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Circular Economy and Sustainability 2024年第4期4卷 2657-2673页

作者： Alexopoulos, Charalampos Karelis, Christos Keramidis, Panagiotis Orfanou, Athanasia Lekkas, Demetris-Francis Charalabidis, Yannis Department of Information and Communication Systems Engineering Information Systems Laboratory University of the Aegean Department of Environment Waste Management Laboratory University of the Aegean Copenhagen Business School

Climate change and the related greenhouse gas (GHG) emissions are an evident threat to Europe and the world and have been at the forefront of environmental policy for decades. Carbon footprint calculators provide a valuable approach when it comes to informing people about GHGs and specifically to CO₂ equivalent (CO₂-eq). These calculators estimate the carbon footprint by converting emissions or energy data to the equivalent amount of carbon dioxide (CO₂) related to a person - its everyday profile. They are considered as “household calculators” as they are based on information provided by the user that is related to various activities and behaviours (transportation, housing, food consumption, waste management, consumption etc). Some of the calculators also provide recommendations to the users, based on their results, on how to change their habits and reduce their carbon emissions. This study provides a comparative analysis of the indicators used to calculate the carbon footprint in available household calculators, as well as the recommendations provided for the users to reduce their footprint. The aim of this paper is to present the current state of household carbon footprint calculators regarding;the data they require to calculate the carbon footprint and the recommendations they provide based on the results/household performance. The paper provides an analysis of a group of carbon footprint calculators that are freely available online, focusing on the domains and indicators used by each calculator, along with the associated proposed recommendations. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2024.

关键词： Carbon Footprint Calculators Carbon Offset Climate Change

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Sustainability of Manufacturing Enterprises: A Psychological Perspective of Linking Manufacturing Layers

Sustainability of Manufacturing Enterprises: A Psychological...

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IISE Annual Conference and Expo 2024

作者： Garbie, Ibrahim Garbie, Muhammad Department of Mechanical Engineering Industrial Engineering Program College of Engineering Helwan University Cairo Egypt Department of Industrial Systems and Manufacturing Engineering Texas Tech University LubbockTX United States

ISBN: (纸本)9781713877851

As sustainability/sustainable development (S/SD) is still considered the buzzword in manufacturing environments, particularly after showing up and joining Industry 4.0 (I4.0), S/SD is prescribed to be embraced as one of the major perspectives of actualizing I4.0. Manufacturing, in common, is separated into three primary streams or layers. These layers are represented by machine design (MD), manufacturing processes (MP), and manufacturing systems (MS). All these layers constitute manufacturing enterprises. Although these layers coincide or overlap at one point, there's a psychological link between them. The primary layer is called the core and is dependable for designing machine components. The second layer is called the chosen layer, and it is represented by the manufacturing process with which generation operations will be adopted. The final layer could be a given one and is utilized to demonstrate which manufacturing system can be chosen. This paper aims to discover the S/SD for these layers and the psychological interface between them. In this paper, components of these three layers will be distinguished and analyzed, and the S/SD index of linking these layers through a psychological perspective will be proposed and outlined independently and universally. © IISE Annual Conference and Expo *** rights reserved.

关键词： Smart manufacturing

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Designing Manufacturing Enterprises System for Industry 4.0

Designing Manufacturing Enterprises System for Industry 4.0

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IISE Annual Conference and Expo 2024

ISBN: (纸本)9781713877851

Currently, researchers are concentrating their attention on design for manufacturing, design for assembly, design for cost and design for quality, design for complexity, design for reconfiguration, design for sustainability, and design for X…etc., but they do not mention design manufacturing enterprises system for Industry 4.0. The design manufacturing enterprises system for Industry 4.0 is a systemic approach that simultaneously identifies elements and components for designing manufacturing enterprises for Industry 4.0, taking into consideration the new urgency of adopting Industry 4.0 and the challenges and risk management for implementing Industry 4.0. In this paper, the designing analysis and level will be presented by identifying the relative importance of urgent adoption and the challenges of implementing Industry 4.0. © IISE Annual Conference and Expo *** rights reserved.

关键词： Smart manufacturing

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Analysis of Energy Performances of Trombe Walls Varying the Main Construction Parameters

Analysis of Energy Performances of Trombe Walls Varying the ...

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2024 IEEE International Workshop on Metrology for Living Environment, MetroLivEnv 2024

作者： Cristaudo, Antonio Ferraro, Vittorio Nicoletti, Francesco Palermo, Giulia Kaliakatsos, Dimitrios University of Calabria Energy and Management Engineering Department CS Rende Italy University of Calabria Department of Computer Engineering Modeling Electronics and Systems Engineering CS Rende Italy

ISBN: (纸本)9798350385014

The energy transition represents an essential process necessary to drive a shift towards a sustainable and balanced human-environment interaction. Within the residential building sector, this obj ective can be pursued by promoting both the utilization of renewable sources and the energy efficiency improvement of technical systems and the building envelope. In this regard, this article conducts an energy analysis to assess the reduction in energy requirements achieved by installing two Trombe walls on the south-facing wall of the variable orientation test station at the University of Calabria. The two passive systems were symmetrically positioned on either side of the existing window system. The evaluation of monthly energy requirements during the heating period was performed using the dynamic simulation software DesignBuilder. To define the optimal configuration of the Trombe walls, the influence on energy requirements associated with the materials used to construct the support structure of the Trombe walls, the type and number of glass panels forming the solar space, the size of the solar space, and the dimensions of the vents were assessed. The results show that the installation of the two Trombe walls, each consisting of two vents with an area of 0.1 m2 and a solar space depth of 0.20 m, supported by a PVC structure and vertically bounded by three glass walls with double low-emissivity glazing (two lateral and one frontal facing south), allows for a 60.62% reduction in winter energy requirements. © 2024 IEEE.

关键词： Energy efficiency

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High-precision CAD-based simulation for turning considering tool microgeometry

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International Journal of Mechatronics and Manufacturing systems 2023年第1期16卷 83-95页

作者： Tzotzis, Anastasios Tsagaris, Apostolos Tapoglou, Nikolaos Kyratsis, Panagiotis Department of Product and Systems Design Engineering University of Western Macedonia Kila Kozani50100 Greece Department of Industrial Engineering and Management International Hellenic University Sindos Thessaloniki57400 Greece

Surface roughness is considered to be a critical parameter when evaluating the machinability of a material, as well as the surface quality of a machined part. Thus, a number of studies exist in the literature, that deal with the simulation and prediction of the surface roughness generation during machining. This paper presents a 3D simulation method for turning, considering the full geometrical aspects of a cutting-tool, leading to high-precision simulation of the process. For the purposes of the study, a commercially available, generic CAD system was utilised, namely SolidWorks™. Specifically, the application programming interface (API) of the software was used, to write code that is capable of simulating the kinematics of the turning process. In addition, the surface roughness profile, topography, as well as typical measurements were generated, with respect to machining conditions such as, depth of cut, feed and cutting speed. For the verification of the accuracy of the code, a set of nine turning experiments were carried out, for a specified range of conditions. Finally, a comparison between the experimental and the simulated measurements for the Ra, Rz and Rt was made, showing an increased correlation. Copyright © 2023 Inderscience Enterprises Ltd.

关键词： Surface roughness

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Machine Learning-Based Channel State Estimators for 5G Wireless Communication systems

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Computer Modeling in engineering & Sciences 2023年第4期135卷 755-778页

作者： Mohamed Hassan Essai Ali Fahad Alraddady Mo’ath Y.Al-Thunaibat Shaima Elnazer Department of Electrical Engineering Faculty of EngineeringAl-Azhar UniversityQena83513Egypt Department of Computer Engineering College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Management Information Systems Taif UniversityTaif21944Saudi Arabia

For a 5G wireless communication system,a convolutional deep neural network(CNN)is employed to synthesize a robust channel state estimator(CSE).The proposed CSE extracts channel information from transmit-and-receive pairs through offline training to estimate the channel state ***,it utilizes pilots to offer more helpful information about the communication *** proposedCNN-CSE performance is compared with previously published results for Bidirectional/long short-term memory(BiLSTM/LSTM)NNs-based *** CNN-CSE achieves outstanding performance using sufficient pilots only and loses its functionality at limited pilots compared with BiLSTM and LSTM-based *** three different loss function-based classification layers and the Adam optimization algorithm,a comparative study was conducted to assess the performance of the presented DNNs-based *** BiLSTM-CSE outperforms LSTM,CNN,conventional least squares(LS),and minimum mean square error(MMSE)*** addition,the computational and learning time complexities for DNN-CSEs are *** estimators are promising for 5G and future communication systems because they can analyze large amounts of data,discover statistical dependencies,learn correlations between features,and generalize the gotten knowledge.

关键词： DLNNs channel state estimator 5G and beyond communication systems robust loss functions

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Just-in-time and supply chain finance: a hierarchal model development

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International Journal of Industrial and systems engineering 2024年第4期47卷 518-556页

作者： Zaman, Syed Imran Ali, Md. Ramjan Khan, Sharfuddin Ahmed School of Economics and Management Southwest Jiaotong University China Department of Business Administration Jinnah University for Women Karachi Pakistan Department of Mechanical and Production Engineering Ahsanullah University of Science and Technology Dhaka Bangladesh Industrial Systems Engineering Department Faculty of Engineering and Applied Sciences University of Regina SK Canada

This study aims to investigate whether or not just-in-time (JIT) and supply chain finance (SCF) have a synergistic impact on overall organisation performance. The purpose of this study is to help address this knowledge gap and shed light on the role that JIT tools plays in optimising the benefits that SCF offers to an organisation as a whole. Interpretive structural modelling (ISM) and decision making trial and evaluation laboratory (DEMATEL) has been used to explore relationship, contextual link and hierarchical interpretation between JIT and SCF characteristics. Results shows that, the variables with the highest rankings in ISM and DEMATEL are employee attitude, embeddedness of continuity practice, and changing level and position of inventory maintained by businesses. Integration of JIT and SCF will help organisations to increase in revenues, a reduction in waste, an improvement in cash flow, and a reduction in supply chain hazards. Copyright © 2024 Inderscience Enterprises Ltd.

关键词： Decision making

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Enablers and barriers of communication in virtual engineering teams: the role of teamwork skills and emergent conflict

Enablers and barriers of communication in virtual engineerin...

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IISE Annual Conference and Expo 2023

作者： Pazos, Pilar Cima, Francisco Department of Engineering Management and Systems Engineering Old Dominion University NorfolkVA United States

ISBN: (纸本)9781713877851

Communication is a critical process that facilitates team members’ coordination, expertise exchange, decision-making, and, consequently, team effectiveness. A focus on effective communication is critical in virtual teams due to their lack of face-to-face interactions and social presence. Communication becomes challenging in remote settings, and specific skills emerge as more essential to success. It is known that effective teams rely on planning, execution, and interpersonal skills to be successful. Still, the specific impact of these skills on virtual team effectiveness is not well understood. Additionally, conflict can emerge as a significant barrier to collaboration for remote teams that can hinder their communication. This paper examines the role of teamwork skills and emergent conflict as predictors of the frequency of communication in virtual engineering project teams. Previously validated measures were used to assess teamwork skills and emergent conflict in a sample of virtual teams. The sample included 101 graduate engineering students working in 32 fully virtual project teams of size 3-4 to complete a semester project on systems analysis and design. Results indicate that skills associated with mission analysis and strategy formulation were the strongest predictors of the frequency of communication, while relationship conflict was associated with low levels of communication. These findings are relevant to organizations that rely on virtual team-based structures by identifying critical levers and barriers to team communication. These findings can be used to identify targets for virtual team training, including a focus on strategic planning and mission analysis, as well as conflict management strategies to prevent and resolve relationship conflict in virtual settings. © IISE and Expo *** rights reserved.

关键词： Decision making

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