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Study of the Elastic Buckling Structural Behavior Using Finite Element Analysis 1

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18th international Scientific conference Civil engineering and Buildings Services, CIBv 2023

作者： Mocanu, Ştefan Dumitriu, Cristian Ştefan Ionescu, Ştefan Emil Faculty of Mechanical Engineering and Robotics for Construction Technical University of Civil Engineering Bucharest 59 Calea Plevnei Bucharest Romania ‘Ferdinand I’ Technical Military Academy of Bucharest 39 Bucureşti-Târgovişte str. Bucharest Romania

ISBN: (数字)9783031607653

ISBN: (纸本)9783031607646

the study of slender structures in mechanical or civil/industrial constructions represents a continuous challenge from the view point of the risk factors identifying and offering sustainable solutions and methods to extend their life span. One of the most common and dangerous sources for the lifetime limitation of this type of structure is the buckling. the use of numerical algorithms in the applications for analyzing the structures, algorithms based on the finite element method, is a frequent solution in approaching the problem. Today, there are various software applications that have as their starting point the classic approach to the problem according to the Strength of Materials. the purpose of this article is to compare the classical approach with the output of running the working environments/platforms to establish the obtained solution convergence, highlighting the dispersion degree as well. the analyzed subject is the double joint section. Regardless the used software, the high degree of complexity of the problem requires a two steps algorithm: a buckling analysis in the linear domain followed by a nonlinear analysis. In addition, compared to other similar approached of the phenomenon, the use of the finite element with full options regarding the structure discretization (meshing) will be considered. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Buckling

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A Lagrangian Relaxation Heuristic Approach for Coordinated Global Intermodal Transportation 18

A Lagrangian Relaxation Heuristic Approach for Coordinated G...

引用

IEEE 18th international conference on Automation Science and engineering (IEEE CASE)

作者： Guo, Wenjing Negenborn, Rudy R. Atasoy, Bilge Wuhan Univ Technol Wuhan Peoples R China Inland Port & Shipping Ind Res Co Ltd Guangdong P Wuhan Peoples R China Delft Univ Technol Delft Netherlands

ISBN: (数字)9781665490429

ISBN: (纸本)9781665490429

this paper considers a coordinated global shipment matching problem in which a global operator receives shipment requests from shippers and three local operators provide local transport services in different geographical areas. While local operators make local matching decisions, the global operator combines the matched local services into itineraries to provide integrated transport for shipments. To handle the interconnecting constraints between different operators, a Lagrangian relaxation heuristic approach is developed. Under the proposed approach, the original problem is decomposed into local operator-related subproblems. these subproblems are optimized iteratively under local constraints as well as under the incentives imposed by the global operator to meet interconnecting constraints. the experiment results show that with the proposed approach, global transport planning that requires coordination among different operators to achieve a common goal can be realized.

关键词： Computer aided software engineering Automation Transportation Planning

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Sizing of a fleet of cooperative and reconfigurable robots for the transport of heterogeneous loads 18

Sizing of a fleet of cooperative and reconfigurable robots f...

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IEEE 18th international conference on Automation Science and engineering (IEEE CASE)

作者： Chaikovskaia, Mari Gayon, Jean-Philippe Marjollet, Mairtin INP Clermont Auvergne LIMOS Clermont Ferrand France INP Clermont Auvergne ISIMA Clermont Ferrand France

ISBN: (数字)9781665490429

ISBN: (纸本)9781665490429

We consider a fleet of elementary robots that can be connected in different ways to transport loads of different types. For instance, a single robot can transport a small load and the association of two robots can either transport a large load or two small loads. We seek to determine the number of robots necessary to transport a set of loads in a given time interval, at minimum cost. the cost is function of the number of robots and of the distance travelled by robots. the fleet sizing problem can be formulated by an integer linear problem. In the special case of two types of loads and two configurations, closed-form expressions for the minimum number of robots can be derived. Finally, we show how reconfigurability can allow to diminish the number of required robots.

关键词： Costs Closed-form solutions Computer aided software engineering Automation Topology Robots

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Advancements in Modern Steganography Techniques for Enhanced Data Security: A Comprehensive Review 18

Advancements in Modern Steganography Techniques for Enhanced...

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18th INDIAcom;11th international conference on Computing for Sustainable Global Development, INDIACom 2024

作者： Bohra, Shresty Naik, Charmi Batra, Rashi Popat, Kinshu Kaur, Hargeet Pandit Deendayal Energy University Computer Science Engineering Gandhinagar India

ISBN: (纸本)9789380544519

Information security has become a major concern in today's digital world with the rapid growth of the internet. To confront this challenge, various techniques like cryptography and steganography have developed in the fields of computer security for protecting sensitive data from unauthorized access. the review paper explores modern steganography techniques, providing valuable information about their applications in data security. It analyzes the emerging field of DNA-based steganography. the paper also examines the dynamic domain of audio steganography, focusing on the challenge of developing strong, high-capacity systems for secure communication. Additionally, it focuses on evaluation of digital image steganography methods. © 2024 Bharati Vidyapeeth, New Delhi.

关键词： Audio steganography Cracking probability Discrete Cosine Transform DNA steganography Image steganography LSB Prisoners'problem RGB SNR Stego-Image Temporal Domain Transform Domain

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Digital Twin Framework for Reconfiguration Management 18

Digital Twin Framework for Reconfiguration Management

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IEEE 18th international conference on Automation Science and engineering (IEEE CASE)

作者： Caesar, Birte Tilbury, Dawn M. Barton, Kira Fay, Alexander Helmut Schmidt Univ Inst Automat Technol Hamburg Germany Univ Michigan Dept Mech Engn Ann Arbor MI 48109 USA

ISBN: (数字)9781665490429

ISBN: (纸本)9781665490429

To remain competitive in a highly dynamic environment, manufacturing companies have to quickly react to disturbances or changing customer requirements. To enable manufacturing systems to cover these dynamics, the concept of reconfigurable manufacturing systems was introduced. From a technical point of view, this concept has been exploited the past 20 years, revealing several different design solutions. However, industrial application is still an exception. Our analysis led to the assumption that this is due to a lack of operator support for reconfiguration management. In addition, mostly individual aspects of reconfiguration are considered instead of exploiting the entire reconfiguration space at the system and machine level. therefore, in this paper we present a digital twin framework for reconfiguration management considering reconfiguration as a holistic problem and taking advantage of the digital twin concept to integrate heterogeneous data from different sources.

关键词： Computer aided software engineering Automation Companies Digital twins Manufacturing systems

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Health Footprint of Endocrine-Disrupting Chemicals in Consumer Products: A System-of-Systems Approach 18

Health Footprint of Endocrine-Disrupting Chemicals in Consum...

引用

18th international conference on Indoor Air Quality and Climate, INDOOR AIR 2024

作者： Wu, Yili Li, Hongwan Fan, Yujie Cohen Hubal, Elaine A. Little, John C. Eichler, Clara M.A. Bi, Chenyang Song, Zidong Xu, Ying Department of Building Science Tsinghua University Beijing China Department of Civil Architectural and Environmental Engineering The University of Texas AustinTX United States Department of Occupational and Environmental Health Hudson College of Public Health University of Oklahoma Health Sciences Center Oklahoma City United States Office of Research and Development U.S. EPA Research Triangle ParkNC United States Department of Civil and Environmental Engineering Virginia Tech BlacksburgVA United States Department of Environmental Sciences and Engineering The University of North Carolina at Chapel Hill Chapel HillNC United States Beijing Key Laboratory of Indoor Air Quality Evaluation and Control Beijing China

ISBN: (纸本)9798331306816

Endocrine-disrupting chemicals (EDCs) are widely used in consumer products and have been linked to health outcomes with high associated costs. Unfortunately, current methods to evaluate the potential health impacts are insufficient due to the large number and variety of products and chemicals, and the complexity of human exposures. Here, we propose a system-of-systems approach that considers interactions across product, household, and human systems to characterize the health footprint of EDCs associated with use of consumer products. A novel rapid chamber method was developed for measuring EDC emissions from products, providing critical data required to predict their health footprint. Combining emission properties with product databases, stochastic simulations of product use, and mechanistic models, the estimated near-field population exposures to EDCs were consistent with those inferred from biomonitoring data. the health footprint can be substantial, with 64% of the studied chemical-product combinations having carcinogenic disability-adjusted life years higher than the threshold, emphasizing the need to regulate EDCs in products. this approach supports prioritizing EDCs, setting maximum allowable levels in products, evaluating the health and cost benefits of potential substitutes. © 2024 18th conference of the international Society of Indoor Air Quality and Climate, INDOOR AIR 2024 - conference Program and Proceedings. All rights reserved.

关键词： Risk assessment

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Investigation of Far-UVC Disinfection of Bioaerosols Deposited on Surfaces 18

Investigation of Far-UVC Disinfection of Bioaerosols Deposit...

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18th international conference on Indoor Air Quality and Climate, INDOOR AIR 2024

作者： Guo, Kangqi Chen, Chun Department of Mechanical and Automation Engineering The Chinese University of Hong Kong N.T. Shatin999077 Hong Kong Institute of Environment Energy and Sustainability The Chinese University of Hong Kong N.T. Shatin999077 Hong Kong

ISBN: (纸本)9798331306816

Far-ultraviolet C (UVC) light has demonstrated its ability to inactivate microbes on surfaces. However, the factors influencing the efficacy of far-UVC surface disinfection remain unclear. this study aimed to explore the effects of material properties on far-UVC disinfection of E. coli deposited on surfaces. the susceptibility constants (Z-values) of E. coli on 14 common materials were measured and analyzed. the results show that far-UVC light effectively disinfected E. coli on the 14 materials, with disinfection efficiencies ranging from 69.1% to 98.9% under a dose of 100.8 J/m2. Surface roughness had no influence on far-UVC disinfection of E. coli on these surfaces. Porous materials had lower Z-values than non-porous materials. © 2024 18th conference of the international Society of Indoor Air Quality and Climate, INDOOR AIR 2024 - conference Program and Proceedings. All rights reserved.

关键词： Indoor air pollution

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Evaluation of ResNet Architecture's Performance for Early Brain Infarction Detection 18

Evaluation of ResNet Architecture's Performance for Early Br...

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18th INDIAcom;11th international conference on Computing for Sustainable Global Development, INDIACom 2024

作者： Bajaj, Shilpa Bala, Manju Mohitangurala I.K. Gujral Punjab Technical University Department of Computer Applications Kapurthala India Khalsa College of Engineering and Technology Department of Cse Amritsar India Mohali India

ISBN: (纸本)9789380544519

the main objective of this research, is to compare the performance of ResNet models when deployed on the images of Brain CT scans. In this research three ResNet models are selected with the goal of identifying the most effective one for detecting and classifying cerebral infarcts. these models demonstrated exceptional results, highlighting the promising capabilities of deep learning in the field of medical imaging. the remarkable accuracy, specificity, recall, and sensitivity exhibited by these models generate enthusiasm for the potential application of deep learning in real-world clinical settings. Beyond merely identifying infarcts, these findings suggest that leveraging deep learning could contribute to refining model performance in practical, clinical scenarios. © 2024 Bharati Vidyapeeth, New Delhi.

关键词： brain stroke deep learning medical image analysis neurology ResNet models

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Comparative Study and Analysis of Cloud Container Technology 18

Comparative Study and Analysis of Cloud Container Technology

引用

18th INDIAcom;11th international conference on Computing for Sustainable Global Development, INDIACom 2024

作者： Kumar, E. Saravana Ramamoorthy, Raghu Kesavan, Selvaraj Shobha, T. Patil, Seema Vighneshwari, B. The Oxford College of Engineering Department of Computer Science and Engineering Bengaluru India Dxc Technology Bengaluru India B.M.S.C.E. Department of Ise Bengaluru India B.M.S.C.E. Department of Cse Bengaluru India The Oxford College Engineering Department of Electrical and Electronics Engineering Bengaluru India

ISBN: (纸本)9789380544519

the advent of digital transformation has revolutionized the way businesses operate. Applications have become the focal point of this transformation, shifting the focus from being organization-centric to user-centric. To realize the full potential of businesses, high-quality, secure, and agile applications are essential. Containers are a cutting-edge invention in the world of virtualization, gaining immense popularity in recent years. they have replaced traditional business continuity solutions and are now used to address highly demanding business needs. Multiple containers and orchestration frameworks are available, both as standalone and cloud-based services. However, developers and industry experts face challenges in identifying and evaluating the appropriate containers and orchestration frameworks for their application needs. the selected tools may not always be feasible due to a lack of available features, inability to provide agility, and lack of platform support. When applications are deployed across multiple containers, coordination and management among container clusters become critical. Since containers play a pivotal role in edge deployment, cloud-native, continuous integration, and continuous deployment, it is vital to have centralized orchestration for proper re-source management and scheduling. this paper discusses and compares emerging container platforms and cloud-centric orchestration frameworks, highlighting the challenges involved. © 2024 Bharati Vidyapeeth, New Delhi.

关键词： Cloud Containers Digital transformation framework Orchestration

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CC: Causality-Aware Coverage Criterion for Deep Neural Networks 23

CC: Causality-Aware Coverage Criterion for Deep Neural Netwo...

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45th IEEE/ACM international conference on software engineering (ICSE)

作者： Ji, Zhenlan Ma, Pingchuan Yuan, Yuanyuan Wang, Shuai Hong Kong Univ Sci & Technol Hong Kong Peoples R China

ISBN: (纸本)9781665457019

Deep neural network (DNN) testing approaches have grown fast in recent years to test the correctness and robustness of DNNs. In particular, DNN coverage criteria are frequently used to evaluate the quality of a test suite, and a number of coverage criteria based on neuron-wise, layer-wise, and path-/trace-wise coverage patterns have been published to date. However, we see that existing criteria are insufficient to represent how one neuron would influence subsequent neurons;hence, we lack a concept of how neurons, when functioning as causes and effects, might jointly make a DNN prediction. Given recent advances in interpreting DNN internals using causal inference, we present the first causality-aware DNN coverage criterion, which evaluates a test suite by quantifying the extent to which the suite provides new causal relations for testing DNNs. Performing standard causal inference on DNNs presents both theoretical and practical hurdles. We introduce CC (causal coverage), a practical and efficient coverage criterion that integrates a set of optimizations using DNN domain-specific knowledge. We illustrate the efficacy of CC using diverse, real-world inputs and adversarial inputs, such as adversarial examples (AEs) and backdoor inputs. We demonstrate that CC outperforms previous DNN criteria under various settings with moderate cost.

关键词： Causality Analysis machine learning testing software engineering

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