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International Conference on Emerging Trends in Mathematics and Statistics (IC-ETMS)

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Articles

Forecasting Residential Carbon Emissions at the Neighborhood Level: A Computer Vision and Machine Learning Approach Leveraging Street View Imagery.

Wanqi Shi,Yeyu Xiang,Yuxuan Ying,Yuqin Jiao,Rui Zhao andWaishan Qiu

Year: 2021| Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

This abstract provides an overview of our novel approach for forecasting residential carbon emissions at the neighborhood level, utilizing a fusion of computer vision and machine learning techniques applied to street view imagery. By leveraging the rich visual information captured by street view images, our methodology aims to accurately predict carbon emissions associated with residential areas. We present a comprehensive framework that integrates state-of-the-art computer vision algorithms to extract meaningful features from street view images, which are then utilized by machine learning models for prediction. Through extensive experimentation and validation on real-world datasets, we demonstrate the effectiveness of our approach in accurately forecasting carbon emissions. Our research contributes to the advancement of environmental modeling and urban planning by providing a scalable and efficient method for assessing carbon footprints at a granular, neighborhood level.

Streamlining Image Retrieval Through Hierarchical K-Means Clustering

Dayoung Park andYoungbae Hwang

Year: 2021| Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

This abstract encapsulates our research focused on optimizing image retrieval processes via hierarchical K-Means clustering. We propose a streamlined approach leveraging hierarchical clustering techniques to enhance the efficiency of image retrieval systems. By organizing images into a hierarchical structure based on their visual similarities, our method facilitates faster and more accurate retrieval of relevant images. We present a comprehensive framework detailing the implementation and benefits of hierarchical K-Means clustering in image retrieval tasks. Through experimentation and evaluation on benchmark datasets, we demonstrate the effectiveness of our approach in improving retrieval speed and precision compared to traditional methods. Our research contributes to advancing image retrieval technologies, offering a more efficient solution for managing and accessing large image collections in various applications.

An Extensive Evaluation and Contrast of Commercial and Open-Source IoT Platforms for Smart City Applications

Nikolaos Monios,Nikolaos Peladarinos,Vasileios Cheimaras,Panagiotis Papageorgas andDimitrios D. Piromalis

Year: 2021| Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

This abstract encapsulates our comprehensive examination and comparison of commercial and open-source IoT platforms tailored for smart city applications. We meticulously evaluate various platforms, considering factors such as functionality, scalability, security, and community support. Through systematic analysis and comparison, we provide insights into the strengths and limitations of both commercial and open-source solutions. Our findings serve as a valuable resource for decision-makers seeking to implement IoT infrastructure in smart city projects, aiding in the selection of platforms that best align with specific project requirements and constraints. This research contributes to advancing the deployment of IoT technologies in urban environments, fostering sustainable and efficient smart city development.

The Impact of AI Development on Urban Energy Efficiency: A Smart City Policy Perspective Exploring AI Advancements and Strategies for Enhancing Energy Efficiency in Urban Environments

Xiangyi Li,Qing Wang andYing Tang

Year: 2021| Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

This abstract presents an analysis of how the advancement of artificial intelligence (AI) affects urban energy efficiency from the viewpoint of smart city policies. We investigate the integration of AI technologies into urban infrastructure and its implications for energy management and conservation. Through a comprehensive examination of smart city policies, we explore the strategies and initiatives that leverage AI to optimize energy usage, reduce waste, and promote sustainability. Our study highlights the opportunities and challenges posed by AI-driven approaches in enhancing urban energy efficiency, considering factors such as data privacy, governance, and equitable access. By elucidating the intersection of AI development and smart city policies, this research contributes to informed decision-making and strategic planning for sustainable urban development.

Empowering First Responders in Smart Cities: A Next-Generation Computing and Communication Hub

Olha Shaposhnyk,Kenneth Lai,Gregor Wolbring,Vlad Shmerko andSvetlana Yanushkevich

Year: 2021| Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

This abstract introduces a pioneering initiative aimed at empowering first responders within the context of smart cities through the deployment of a cutting-edge computing and communication hub. The hub serves as a central nexus for real-time data aggregation, analysis, and dissemination, bolstering the capabilities of emergency response teams. By harnessing next-generation technologies, including advanced computing algorithms and robust communication networks, this hub facilitates rapid decision-making, enhances situational awareness, and streamlines coordination among first responders. Moreover, the integration of smart city infrastructure further amplifies the hub's effectiveness, enabling seamless interaction with various urban systems and resources. This abstract provides a glimpse into the transformative potential of this innovative solution, promising to revolutionize emergency response operations and bolster the resilience of smart cities in the face of crises.

Practical Strategies for Smart and Circular Cities: Leveraging Chatbots for Waste Recycling

Răzvan Daniel Zota,Ionuț Alexandru Cîmpeanu,Denis Alexandru Dragomir andMihai Adrian Lungu

Year: 2021| Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

This abstract introduces a pragmatic approach for fostering smart and circular cities by harnessing the power of chatbots to streamline waste recycling processes. As cities worldwide strive for sustainability and efficiency, the integration of technology into waste management systems becomes increasingly crucial. This paper explores the implementation of chatbots as user-friendly interfaces to facilitate waste recycling initiatives within urban environments. By leveraging artificial intelligence and natural language processing, these chatbots enable citizens to easily access information, schedule pickups, and receive guidance on proper waste disposal practices. Through a combination of case studies and theoretical analysis, this research elucidates the potential benefits and challenges associated with integrating chatbots into waste recycling frameworks. Ultimately, this abstract sheds light on a practical and innovative solution that holds promise for advancing the transition towards smarter and more circular cities.

Smart City Scenario Editor: Empowering Urban Planning with Advanced What-If Analysis, Simulation, and Prediction Models

Lorenzo Adreani, Pierfrancesco Bellini, Stefano Bilotta, Daniele Bologna, Enrico Collini, Marco Fanfani and Paolo Nesi

Year: 2021| Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

This abstract introduces a novel Smart City Scenario Editor designed to facilitate comprehensive what-if analysis within urban environments. As cities evolve and face complex challenges, the ability to simulate various scenarios becomes essential for informed decision-making and planning. The Smart City Scenario Editor provides a user-friendly platform for urban planners, policymakers, and stakeholders to explore hypothetical scenarios and their potential impacts on different aspects of city life. By leveraging advanced modeling techniques and real-time data integration, this tool enables users to simulate a wide range of scenarios, from transportation disruptions to environmental changes. Through a combination of case studies and theoretical analysis, this research highlights the versatility and effectiveness of the Smart City Scenario Editor in supporting proactive decision-making and enhancing urban resilience. Ultimately, this abstract underscores the importance of innovative tools like the Smart City Scenario Editor in shaping the future of urban development.

The Role of Civionics in Civil Structural Health Monitoring: Leveraging Advanced Sensing for Enhanced Safety and Infrastructure Maintenance

Aftab A. Mufti andDouglas J. Thomson

Year: 2021| Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

This abstract delves into the pivotal role of civionics within civil structural health monitoring systems. As structures age and face varying environmental conditions, ensuring their ongoing stability and safety is paramount. Civionics, a burgeoning field at the intersection of civil engineering and electronics, offers innovative solutions for real-time monitoring and assessment of structural health. This paper explores the application of civionics in enhancing the efficiency and effectiveness of civil structural health monitoring systems. By integrating advanced sensors, data analytics, and communication technologies, civionics enables continuous monitoring, early detection of potential issues, and timely intervention to prevent catastrophic failures. Through a synthesis of case studies and theoretical frameworks, this research elucidates the multifaceted contributions of civionics to the field of civil engineering. Ultimately, this abstract underscores the significance of embracing civionics as an integral component of modern civil structural health monitoring strategies, ensuring the resilience and longevity of critical infrastructure.

Advancements in Fiber-Reinforced Polymers (FRPs) for Civil Infrastructure: A Comprehensive Review of Research and Practical Applications

Jorge Albuja-Sánchez,Andreina Damián-Chalán andDaniela Escobar

Year: 2021| Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

This abstract presents a comprehensive review of experimental studies and applications concerning Fiber-Reinforced Polymers (FRPs) in civil infrastructure systems. FRPs have emerged as a promising alternative material for enhancing the performance and longevity of various civil engineering structures. Through an exhaustive examination of recent research, this review synthesizes the latest advancements, methodologies, and case studies related to FRP usage in civil infrastructure. It explores the experimental techniques employed to assess the mechanical properties, durability, and structural performance of FRP materials. Furthermore, the review discusses the diverse applications of FRPs in infrastructure systems such as bridges, buildings, and pipelines, highlighting their effectiveness in addressing key engineering challenges. By presenting a state-of-the-art overview, this abstract offers valuable insights for researchers, engineers, and policymakers involved in the design, construction, and maintenance of civil infrastructure.

Augmented Reality Visualization for Real-Time Structural Modal Identification: Enhancing Structural Analysis and Monitoring

Elliott Carter,Micheal Sakr andAyan Sadhu

Year: 2021| Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

This abstract introduces a groundbreaking approach to structural modal identification through real-time augmented reality (AR) visualization. Structural modal identification, crucial for assessing the dynamic behavior of civil engineering structures, traditionally involves complex analysis and interpretation of sensor data. However, this paper presents a novel method that integrates AR technology to visualize modal parameters in real-time, offering engineers intuitive insights into structural dynamics. By overlaying modal shapes and frequencies onto physical structures in real-time, this approach enhances understanding and facilitates rapid decision-making during structural assessments. Through a combination of theoretical framework and practical demonstration, this research showcases the feasibility and effectiveness of AR-based modal identification. Ultimately, this abstract underscores the transformative potential of AR in advancing structural engineering practices, paving the way for more efficient and accurate modal analysis in civil infrastructure.


International Conference on Sustainable Energy and Materials Engineering (ICSEME)

International Conference on Biomedical Robotics and Computational Imaging (ICBRCI)

International Conference on Smart Cities and Civil Infrastructure (ICSCCI)

International Conference on Aerospace Technologies and Data Science (ICATDS)

International Conference on Renewable Resources and Chemical Engineering (ICRRCE)

International Conference on Cyber-Physical Systems and Electrical Engineering (ICCPSE)

International Conference on Robotics in Manufacturing and Environmental Engineering (ICRMEE)

International Conference on Advanced Materials and Mechanical Engineering (ICAMME)

International Conference on Nanotechnology for Electrical Systems (ICNES)

International Conference on Geotechnical Innovations and Computer-Aided Design (ICGICAD)

International Conference on Water Resources and Environmental Engineering (ICWREE)

International Conference on Intelligent Transportation Systems and Structural Engineering (ICITSE)

International Conference on Sustainable Energy and Materials Engineering (ICSEME)

International Conference on Biomedical Robotics and Computational Imaging (ICBRCI)

International Conference on Smart Cities and Civil Infrastructure (ICSCCI)

International Conference on Aerospace Technologies and Data Science (ICATDS)

International Conference on Renewable Resources and Chemical Engineering (ICRRCE)

International Conference on Cyber-Physical Systems and Electrical Engineering (ICCPSE)

International Conference on Robotics in Manufacturing and Environmental Engineering (ICRMEE)

International Conference on Advanced Materials and Mechanical Engineering (ICAMME)

International Conference on Nanotechnology for Electrical Systems (ICNES)

International Conference on Geotechnical Innovations and Computer-Aided Design (ICGICAD)

International Conference on Water Resources and Environmental Engineering (ICWREE)

International Conference on Intelligent Transportation Systems and Structural Engineering (ICITSE)

International Conference on Sustainable Energy and Materials Engineering (ICSEME)

International Conference on Biomedical Robotics and Computational Imaging (ICBRCI)

International Conference on Smart Cities and Civil Infrastructure (ICSCCI)

International Conference on Aerospace Technologies and Data Science (ICATDS)

International Conference on Renewable Resources and Chemical Engineering (ICRRCE)

International Conference on Cyber-Physical Systems and Electrical Engineering (ICCPSE)

International Conference on Robotics in Manufacturing and Environmental Engineering (ICRMEE)

International Conference on Advanced Materials and Mechanical Engineering (ICAMME)

International Conference on Nanotechnology for Electrical Systems (ICNES)

International Conference on Geotechnical Innovations and Computer-Aided Design (ICGICAD)

International Conference on Water Resources and Environmental Engineering (ICWREE)

International Conference on Intelligent Transportation Systems and Structural Engineering (ICITSE)

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