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检索条件"任意字段=8th Biennial ASME Conference on Engineering Systems Design and Analysis"

共 3431 条记录，以下是31-40 订阅

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Proceedings - 2023 8th International conference on Information systems engineering, ICISE 2023

Proceedings - 2023 8th International Conference on Informati...

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8th International conference on Information systems engineering, ICISE 2023

ISBN: (纸本)9798350307009

the proceedings contain 131 papers. the topics discussed include: research on learning and growth information management of college students based on blockchain technology;research on classification prediction based on decision tree;design and implementation of UAV inspection and control platform for transmission lines;FCNN+: an improved fully connected neural network high-accuracy prediction model;research on the presupposition of product design conceptual model based on AHP to user psychological model;an interactive robotic arm with learning function;construction of a computer network fault analysis and intrusion detection system based on K-means clustering algorithm;an improved k-means clustering algorithm based on spark framework;and research on node collaborative storage method for consortium chain ledger data.

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Predictive Model to Assess Pollution from Road Runoff Waters as a Tool to Increase Sustainable Mobility 24

Predictive Model to Assess Pollution from Road Runoff Waters...

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24th EEEIC International conference on Environment and Electrical engineering and 8th I and CPS Industrial and Commercial Power systems Europe, EEEIC/I and CPS Europe 2024

作者： Corazza, Maria Vittoria Moretti, Laura Di Mascio, Paola Del Serrone, Giulia Cera, Luciano Sapienza University of Rome Dicea - Dept. of Civil Engineering Rome Italy Cera Ingegneria Teramo Italy

ISBN: (纸本)9798350355185

the United Nations' 2030 Agenda for Sustainable Development emphasizes the crucial role of water management in human activities, yet the transportation sector has often overlooked water as a valuable resource. this paper delves into the potential of analysing road runoff waters, particularly in understanding pollutant generation and adopting mitigation measures. the methodology, developed in coherence with FHWA approaches, allows for the calculation of pollutant concentrations in road runoff waters following rainfall events. Results from a multi-case scenario highlight significant differences in pollutant generation between urban, extra-urban, and rural roads. Sensitivity analyses reveal the impact of rainfall intensity, drainage length, and traffic volume on pollutant concentrations. the study underscores the need for multidisciplinary approaches in infrastructure design and maintenance, considering ecological factors and regulatory mandates. © 2024 IEEE.

关键词： Sensitivity analysis

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ICISE 2023 - 8th International conference on Information systems engineering

ICISE 2023 - 8th International Conference on Information Sys...

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8th International conference on Information systems engineering, ICISE 2023

ISBN: (纸本)9798400709173

the proceedings contain 30 papers. the topics discussed include: implementation of a software engineering model with DevOps on Microsoft Azure;criteria-based comparison of systems engineering and agile methods: a fundamental comparison of two development methods;work in progress: Github-driven learning: a case study in agile-infused software design courses;work in progress: Github-driven learning: a case study in agile-infused software design courses;benchmarks for the verification of safety and security properties of plc programs in cooperative verification environments;system analysis and design of an automated charity donation system using design thinking methodology;usability testing on student mobile application in university using cognitive walkthrough method;and advancements and challenges of generative AI in higher educational content creation a technical perspective.

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design of mine ventilation system based on BP neural network optimized by GA 8

Design of mine ventilation system based on BP neural network...

引用

8th International conference on Information systems engineering, ICISE 2023

作者： Liu, Jianghai Wuhan Donghu University China

ISBN: (纸本)9798350307009

the safety evaluation of mine ventilation system is a process with strong comprehensiveness and a great deal of information uncertainty. It is more reliable to use GA-optimized BP neural network algorithm to construct the mathematical model of mine ventilation system safety evaluation. the simulation experiment and data analysis show that the BP neural network algorithm based on GA optimization can effectively evaluate the mine ventilation system and obtain the optimal ventilation rate, so as to maintain survival, safety, economic energy-saving purposes. © 2023 IEEE.

关键词： Energy conservation

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5th biennial International conference on Nascent Technologies in engineering, ICNTE 2023

5th Biennial International Conference on Nascent Technologie...

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5th biennial International conference on Nascent Technologies in engineering, ICNTE 2023

ISBN: (纸本)9781665465045

the proceedings contain 61 papers. the topics discussed include: design and development of a small scale emu model with motorman cabin emulation;performance analysis of machine learning and deep learning techniques for answer type extraction of Marathi questions;design and analysis of 8-bit Vedic multiplier;resilience metrics for integrated energy systems: a review;detecting cybersecurity attacks in industrial internet of things: a systematic literature review;all inorganic lead-free perovskites for photocatalysis: preparation and absorption study;scrutinizing machine learning models for cancer prediction;detection and classification of diabetic retinopathy using deep learning;animal healthcare and farm animal disease prediction using machine learning;animal healthcare and farm animal disease prediction using machine learning;and innovative technology in creating liquid hologram with holofans.

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design AND NUMERICAL analysis OF A LEAN BURN COMBUSTOR LINER INLET FOR MICRO-GAS TURBINE ENGINE APPLICATIONS

DESIGN AND NUMERICAL ANALYSIS OF A LEAN BURN COMBUSTOR LINER...

引用

8th biennial asme Gas Turbine India conference (GTINDIA) - Power and Propulsion - A Sustainable Future

作者： Tyagi, Vatsal Divyansh, Ayush Jamod, Preetam Shanmugadas, K. P. IIT JAMMU Dept Mech Engn Jammu 181221 Jammu & Kashmir India IIT JAMMU Dept Mat Engn Jammu 181221 Jammu & Kashmir India

ISBN: (纸本)9780791887721

Lean burn combustion systems of low-emission modern gas turbine engines admit similar to 70-80% of the compressed air through the fuel injector and the remaining air is passed through the liner assembly. the paper focuses on developing an intake geometry to accomplish a 70:30 mass flow split between the injector and liner. A lean burn injector and a liner assembly are developed following the existing design rules and extensive numerical simulations are performed to optimize the combustor assembly. the intake geometry is designed considering different operating parameters such as mass flow split ratio, compressor pressure ratio, liner and injector pressure drop. the pressure drop across the injector is limited as 4% and the liner is optimized for a pressure drop of less than 2% across the annulus of the liner. the diffuser section and intake cowl of the combustor are modified to achieve the required flow velocities through the liner and injector. the topology of the central toroidal recirculation zone and effusion flow velocity field are obtained as per the design requirements. the annular liner passage is modified by providing baffle plates to regulate the mass flow and thereby controlling the mass flow split into the intake section. the intake section is designed such that the required flow split is achieved while keeping the pressure drop and other losses to the minimum. Several geometrical iterations are done until the above goal is achieved. Efforts are currently underway for the experimental validation of the test results.

关键词： Lean-burn gas turbine combustor combustor intake section combustor liner Injector cowl baffle plate

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A Novel AI-Driven Recommendation System for Eco-Conscious Consumers 8

A Novel AI-Driven Recommendation System for Eco-Conscious Co...

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8th International conference on Inventive systems and Control, ICISC 202

作者： Dinesh, T.S. Ammaiyappan, K. Janav, G. Gopikumar, S. Krishnan, R. Santhana Srinivasan, A. Velammal College of Engineering and Technology Department of Information Technology Madurai India Vel Tech Rangarajan Dr.Sagunthala R & D Institute of Science and Technology Department of Civil Engineering Chennai India Scad College of Engineering and Technology Department of Electronics and Communication Engineering Cheranmahadevi India

ISBN: (纸本)9798350386578

the fashion industry is witnessing a rapid technological shift, with a growing emphasis on sustainability and eco-consciousness. Consumers are displaying heightened awareness of environmental concerns, leading to a surge in demand for ethical and ecologically responsible fashion products and services. AI-based fashion recommendation systems have emerged as a potential solution, aiding consumers in making environmentally sound wardrobe choices. this research investigates the potential of such systems in empowering ecoconscious consumers to build sustainable wardrobes. A novel algorithm, EcoLearnFuse, is introduced. It integrates autoencoders and gradient boosting techniques to enhance recommendation accuracy while promoting eco-friendly fashion selections. Comparative analysis is conducted against existing algorithms using established simulation metrics, encompassing recommendation precision, environmental impact assessment, and computational efficiency. the simulations demonstrate that EcoLearnFuse surpasses existing algorithms, highlighting its effectiveness in guiding users towards eco-conscious fashion decisions. the proposed framework incorporates persuasive design elements to positively influence consumer behavior, aligning with the broader goals of sustainable fashion adoption. this study contributes to the advancement of AI-driven solutions for promoting environmental sustainability within the fashion industry, ultimately fostering a more conscious and responsible consumer culture. © 2024 IEEE.

关键词： Consumer Behavior Eco Conscious Consumers Ecolearnfuse Algorithm Environmental Sustainability Fashion Industry Persuasive design Recommendation systems Sustainable Fashion

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Revolutionizing Hearing Health: Mobile-based Audiometry Assessment Enhanced by Machine Learning Integration 8

Revolutionizing Hearing Health: Mobile-based Audiometry Asse...

引用

8th International conference on Inventive systems and Control, ICISC 202

作者： Kanimozhi, P. Jebasanthiya, P. Kumar, T.Ananth Hussain, Mohamed Inamul Ananth, Christo Preethi, E. Ifet College of Engineering Dept of Computer Science Engineering Villupuram India Holy Cross Engineering College Dept of Computer Science Engineering Tamilnadu Thoothukudi India Samarkand State University Uzbekistan

ISBN: (纸本)9798350386578

the Mobile-Based Audiometry Test Assessment with Machine Learning Integration is a user-friendly application for convenient and accurate hearing health assessment. this innovative app incorporates advanced machine learning algorithms to enhance the precision of hearing tests, allowing for early detection of hearing impairments. Users can effortlessly create profiles, securely store their test results, and access their hearing history. the application ensures the calibration of user hardware for accurate tests, closely mirroring clinical audiometry standards with a wide range of frequencies and decibel levels. Machine learning, particularly decision tree classification, is seamlessly integrated to improve the accuracy of audiogram analysis and classification, enabling the identification of varying degrees of hearing loss. the user-centric design and educational resources encourage awareness and proactive management of hearing health. this Mobile-Based Audiometry Test Assessment with Machine Learning Integration offers an accessible, technologically advanced solution for individuals to take charge of their auditory health and make informed decisions about their well-being. © 2024 IEEE.

关键词： Audiometers

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Fault Calculation for Modular Multilevel Matrix Converter Considering Control Characteristics 8

Fault Calculation for Modular Multilevel Matrix Converter Co...

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8th International conference on Power Energy systems and Applications, ICoPESA 2024

作者： Ji, Hongle Hao, Quanrui Zhang, Hao Yan, Lei School of Electrical Engineering Shandong University Jinan China

ISBN: (纸本)9798350351668

the development of offshore wind power presents new challenges and opportunities for the integration into the power system, with the Frequency Division Transmission System (FFTS) gaining significant attention as an efficient grid connection technology. By reducing the transmission frequency, it is possible to decrease the line reactance and charging power, thus increasing the transmission capacity of the lines. this represents one of the highly promising approaches for integrating offshore wind power. However, challenges exist for the Frequency Division Offshore Transmission System, particularly during fault conditions, necessitating targeted research into fault current limiting schemes and adjustments to protection parameters to ensure the safe and stable operation of the system. Current research predominantly focuses on the operational control of the Modular Multilevel Converter (M3C) itself, with relatively scant investigation into the transient fault characteristics at the sending and receiving ends of M3C. Addressing this issue, a literature proposes a fault transient analysis method considering control characteristics, validated in PSCAD/EMTDC. Such studies hold significant theoretical and engineering value in addressing issues related to equipment parameter design, control strategies, and protection configuration selection. © 2024 IEEE.

关键词： Transient analysis

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A Knowledge Graph for GIS-Based Operational Resilience Assessment of Electricity Networks Against Climate Scenarios 24

A Knowledge Graph for GIS-Based Operational Resilience Asses...

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24th EEEIC International conference on Environment and Electrical engineering and 8th I and CPS Industrial and Commercial Power systems Europe, EEEIC/I and CPS Europe 2024

作者： Villani, Maria Luisa Giovinazzi, Sonia Pollino, Maurizio Laboratory Analysis and Models for Critical Infrastructures and Essential Services Enea Rome Italy

ISBN: (纸本)9798350355185

the existing electricity infrastructures are increasingly challenged by the frequency and intensity of natural adverse events as most of their assets have been built to operate in environmental conditions that are now outdated. Resilience to climate change related events is a new and urgent requirement for infrastructure planning studies, that has led to rethinking the methods and decision support tools commonly used by the electricity operators to address failure scenarios driven by climate factors. Knowledge graphs are a viable technology for integration of data, information and models developed in different scientific fields, such as electricity networks and environmental risk assessments. the paper details the design approach of a knowledge graph to support the resilience analysis process of an electricity network. When linked to a Geographic Information System (GIS) environment, the knowledge graph will support in the configuration of various resilience analysis methods, such as failure forecast and/or simulation. the work is part of the activity line Decision support systems and operational resilience of the Italian project NEST, funded by the PNRR. © 2024 IEEE.

关键词： Knowledge graph

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