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

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Articles

Vision-Assisted Interactive Human-in-the-Loop Distal Upper Limb Rehabilitation Robot: Clinical Usability Testing and Evaluation

Hyung Seok Nam, Nhayoung Hong, Minwoo Cho, Chiwon Lee, Han Gil Seo and Sungwan Kim

Year: 2020 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

This paper presents a vision-assisted interactive human-in-the-loop distal upper limb rehabilitation robot and reports on its clinical usability testing and evaluation. Upper limb rehabilitation is crucial for restoring motor function in individuals with neurological disorders or injuries. However, existing rehabilitation robots often lack user engagement and adaptability to individual needs. In this study, we developed a novel robot system that incorporates vision-assisted interaction, allowing users to actively participate in rehabilitation exercises while receiving real-time feedback. We conducted a clinical usability test to assess the effectiveness, usability, and user satisfaction of the system with stroke survivors. Results indicate that the vision-assisted interactive robot system offers promising outcomes in terms of motor function improvement, user engagement, and satisfaction. This research contributes to advancing the field of upper limb rehabilitation robotics by introducing an innovative approach that integrates vision assistance and user interaction for personalized and effective rehabilitation interventions.

Wireless Walking Paper Robot Actuated by Magnetic Polymer Actuators

Han-Sol Lee, Yong-Uk Jeon, In-Seong Lee, Jin-Yong Jeong, Manh Cuong Hoang, Ayoung Hong, Eunpyo Choi, Jong-Oh Park and Chang-Sei Kim

Year: 2020 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

This paper introduces a novel wireless walking paper robot actuated by magnetic polymer actuators. Paper robots offer lightweight and cost-effective solutions for various applications, including environmental monitoring and surveillance. However, conventional paper robots often rely on external power sources or wired connections for actuation, limiting their mobility and versatility. In this study, we propose a wireless walking paper robot driven by magnetic polymer actuators, which can be remotely controlled and powered using magnetic fields. The robot's design, fabrication process, and locomotion mechanism are described in detail. Experimental results demonstrate the feasibility and effectiveness of the wireless walking paper robot in navigating diverse terrains. This research expands the capabilities of paper robotics and opens up new possibilities for autonomous and mobile robotic systems in constrained environments.

Risk-Based Criticality Assessment for Smart Infrastructure Systems

Abdulaziz Almaleh and David Tipper

Year: 2020 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

This paper presents a risk-based criticality assessment method tailored for smart infrastructure systems. As critical infrastructures become increasingly interconnected and reliant on digital technologies, the need to assess their vulnerability and prioritize risk mitigation measures becomes paramount. The proposed method integrates risk analysis techniques with considerations specific to smart infrastructure systems, such as cyber threats, data integrity, and system interdependencies. Through a systematic evaluation of asset criticality, vulnerability, and potential consequences, the method identifies key risk factors and prioritizes mitigation efforts. The application of this method is demonstrated through case studies in various smart infrastructure domains, including energy, transportation, and telecommunications. The findings highlight the importance of integrating risk-based approaches into the management of smart infrastructure systems to enhance resilience and minimize disruption to essential services.

Designing and Deploying Vehicular Internet of Things for Smart City Applications

Evariste Twahirwa, James Rwigema and Raja Datta

Year: 2020 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

This paper presents the design and deployment of a vehicular Internet of Things (IoT) system tailored for smart city applications. With the increasing urbanization worldwide, the concept of smart cities has gained momentum as a means to enhance urban efficiency, sustainability, and quality of life. Vehicular IoT, enabled by connected vehicles and infrastructure, plays a crucial role in smart city ecosystems by facilitating real-time data collection, analysis, and decision-making. This paper provides an overview of the design considerations, architecture, and implementation strategies for deploying a vehicular IoT system in a smart city environment. Key aspects such as sensor integration, communication protocols, data management, and security measures are addressed to ensure the reliability and effectiveness of the system. Furthermore, case studies and practical examples are presented to illustrate the potential applications and benefits of vehicular IoT in various smart city domains, including transportation, environmental monitoring, and public safety. The findings contribute to advancing the development and implementation of intelligent transportation systems and smart city initiatives.

A Framework for Assessing the Transformation of Mobility 4.0 in Smart Cities

Hakan Inac and Ercan Oztemel

Year: 2020 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

This paper proposes a comprehensive framework for assessing the transformation of Mobility 4.0 within the context of smart cities. As cities around the world strive to become more connected, sustainable, and efficient, the integration of advanced mobility technologies is essential. Mobility 4.0 encompasses innovative approaches such as autonomous vehicles, shared mobility services, and intelligent transportation systems, which have the potential to revolutionize urban transportation. However, assessing the effectiveness and impact of these transformations presents a significant challenge. This framework provides a structured approach to evaluate key dimensions of Mobility 4.0, including technological readiness, societal acceptance, environmental sustainability, and economic viability. By leveraging indicators, metrics, and evaluation criteria, stakeholders can systematically assess the progress and outcomes of mobility transformations in smart cities. Case studies and practical examples are presented to demonstrate the application of the framework in real-world contexts. The proposed framework contributes to informed decision-making and strategic planning for the advancement of Mobility 4.0 initiatives in smart city development.

Risk Analysis using the Dempster–Shafer Theory for Smart City Planning: A Case Study of Qatar

Reem Al Sharif and Shaligram Pokharel

Year: 2020 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

This paper presents a risk analysis framework utilizing the Dempster–Shafer Theory (DST) for smart city planning, with a focus on the case of Qatar. As smart cities continue to evolve, the need for effective risk analysis methodologies becomes increasingly important to ensure the resilience and sustainability of urban infrastructure and services. The Dempster–Shafer Theory offers a robust approach to handling uncertainty and ambiguity in risk assessment, making it well-suited for complex smart city environments. In this study, we apply the DST framework to assess risks associated with various aspects of smart city planning in Qatar, including infrastructure development, environmental sustainability, and cybersecurity. Through the integration of multiple sources of evidence and expert opinions, the DST-based approach provides a comprehensive and holistic analysis of risks, enabling decision-makers to prioritize mitigation strategies and allocate resources effectively. The findings of this study contribute to advancing risk analysis methodologies in the context of smart city planning and provide valuable insights for policymakers and urban planners in Qatar and beyond.

Refining the Concept of Walking and Walkability in the Smart City: A Model Composite with the W2 Smart City Utility Index

Anna Visvizi, Shahira Assem Abdel-Razek, Roman Wosiek and Radosław Malik

Year: 2020 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

This study explores the intricacies of walking and walkability within the context of the smart city paradigm. Leveraging a composite model, we investigate the interplay between urban design, technology, and user experience, with a focus on enhancing pedestrian-friendly environments. Central to our analysis is the integration of the W2 Smart City Utility Index, which offers a comprehensive framework for evaluating the effectiveness of smart city initiatives. Through a multidimensional approach, we examine key factors influencing walkability, including infrastructure, accessibility, safety, and sustainability. By refining our understanding of walking in the smart city landscape, this research aims to inform policymakers, urban planners, and technology developers in creating more livable and inclusive urban environments.

Exploring Local Weather Features for Smart Urban Agriculture in Northern Taiwan Using a Self-Organizing Map

Angela Huang and Fi-John Chang

Year: 2020 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

This study employs a Self-Organizing Map (SOM) approach to investigate local weather patterns for optimizing smart urban agriculture in Northern Taiwan. By analyzing meteorological data, we aim to identify key weather features relevant to agricultural productivity and sustainability in urban settings. The SOM methodology offers a powerful tool for uncovering complex relationships and patterns within weather data, enabling more informed decision-making for urban farmers and policymakers. Through this research, we seek to enhance the resilience and efficiency of urban agriculture initiatives, ultimately contributing to the development of sustainable food systems in densely populated urban environments.

A Holistic and Interoperable Approach to Implementing Digital Transformation Services in Smart Cities: The Case of Vitoria-Gasteiz, Spain

Félix Larrinaga, Alain Pérez, Iñigo Aldalur, José L. Hernández, José Luis Izkara and Patxi Sáez de Viteri

Year: 2020 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

This research investigates a comprehensive and interoperable strategy for deploying digital transformation services in smart cities, focusing on the case study of Vitoria-Gasteiz, Spain. By examining the implementation process in this specific urban context, we aim to develop insights into effective approaches for integrating various smart city services. Our study emphasizes the importance of a holistic framework that promotes seamless interoperability among different technologies and systems. Through a detailed analysis of the Vitoria-Gasteiz case, we aim to provide valuable lessons and best practices for other cities embarking on similar digital transformation journeys. This research contributes to advancing the understanding of smart city development and underscores the significance of collaboration and integration in building sustainable and innovative urban environments.

Machine Learning Applications in Smart Cities: A Systematic Literature Review on Open Data Utilization

Luminita Hurbean, Doina Danaiata, Florin Militaru, Andrei-Mihail Dodea and Ana-Maria Negovan

Year: 2020 | Conference Paper | Publisher: Scitech Conference Xplorer

Abstract:

Machine learning (ML) algorithms have emerged as powerful tools for leveraging open data to address complex challenges in smart cities. This systematic literature review examines the current landscape of ML applications in smart cities, focusing specifically on the utilization of open data sources. Through a comprehensive analysis of existing studies, this review identifies key trends, methodologies, and challenges in the field. Various domains benefiting from ML in smart cities, such as transportation, energy, waste management, public safety, healthcare, and urban planning, are explored. Additionally, the review evaluates the effectiveness of ML models deployed in real-world contexts and assesses their impact on urban sustainability, efficiency, and quality of life. By synthesizing insights from the literature, this review aims to provide a comprehensive understanding of the opportunities and limitations associated with utilizing open data and ML techniques to create smarter and more sustainable urban environments.


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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