Collaborative Robotic Finishing Platform For Metal Part Processing Towards Industry 5.0,
2024
National Research Council Canada (NRC)
Collaborative Robotic Finishing Platform For Metal Part Processing Towards Industry 5.0, Seyedhossein Hajargarbashi, Gabriel Côté, Jonathan Boisvert, Ramy Meziane, Chen Xu, Corentin Hubert, Sabrina Jocelyn, Clément Gosselin
Articles dans des actes de congrès
Manual finishing operations in aerospace and ground transportation industries are often associated with health-and-safety-related issues such as musculoskeletal disorders, productivity loss, and challenges in workforce renewal. This work presents an innovative automated solution to address these challenges, prioritizing the ease of implementation and affordability for small and midsize enterprises (SMEs). Our proposed solution is a collaborative robotic (cobotic) finishing platform designed to eliminate labor-intensive work while keeping human operators in the loop to manage unforeseen situations. This platform aims to eliminate health risks, enhance repeatability, improve product quality, and increase productivity. This paper describes the mechanical design of the platform, …
Efficient Connectivity Management And Path Planning For Iot And Uav Networks,
2024
Virginia Commonwealth University
Efficient Connectivity Management And Path Planning For Iot And Uav Networks, Amirahmad Chapnevis
Theses and Dissertations
This dissertation explores how to better manage resources in mobile networks, especially for enhancing the performance of Unmanned Aerial Vehicles (UAV)-supported IoT networks. We explored ways to set up a flexible communication architecture that can handle large IoT deployments by making good use of mobile core network resources like bearers and data paths. We developed strategies that meet the needs of IoT networks and enhance network performance. We also developed and tested a system that combines traffic from several mobile devices that use the same user identity and network resources within the core mobile network. We used everyday smartphones, SIM …
The Impact Of Social Media On Charitable Giving For Nonprofit Organization,
2024
Pace University - New York
The Impact Of Social Media On Charitable Giving For Nonprofit Organization, Namchul Shin
Journal of International Technology and Information Management
Research has extensively studied nonprofit organizations’ use of social media for communications and interactions with supporters. However, there has been limited research examining the impact of social media on charitable giving. This research attempts to address the gap by empirically examining the relationship between the use of social media and charitable giving for nonprofit organizations. We employ a data set of the Nonprofit Times’ top 100 nonprofits ranked by total revenue for the empirical analysis. As measures for social media traction, i.e., how extensively nonprofits draw supporters on their social media sites, we use Facebook Likes, Twitter Followers, and Instagram …
How Does Digitalisation Transform Business Models In Ropax Ports? A Multi-Site Study Of Port Authorities,
2024
Åbo Akademi University
How Does Digitalisation Transform Business Models In Ropax Ports? A Multi-Site Study Of Port Authorities, Yiran Chen, Anastasia Tsvetkova, Kristel Edelman, Irina Wahlström, Marikka Heikkila, Magnus Hellström
Journal of International Technology and Information Management
This article investigates the relationship between digitalisation and business model changes in RoPax ports. The study is based on six RoPax ports in Northern Europe, examining their digitalisation efforts and the resulting changes in their business models, leading to further digital transformation. The paper offers insights by reviewing relevant literature on digitalisation’s role in business model innovation and its application in ports. The findings reveal that digitalisation supports relevant business model changes concerning port operation integration within logistics chains, communication, documentation flow, and cargo flow optimisation. However, exploring digitalisation’s potential for diversifying value propositions is still limited. Most digitalisation efforts …
Key Issues Of Predictive Analytics Implementation: A Sociotechnical Perspective,
2024
California Polytechnic State University, San Luis Obispo
Key Issues Of Predictive Analytics Implementation: A Sociotechnical Perspective, Leida Chen, Ravi Nath, Nevina Rocco
Journal of International Technology and Information Management
Developing an effective business analytics function within a company has become a crucial component to an organization’s competitive advantage today. Predictive analytics enables an organization to make proactive, data-driven decisions. While companies are increasing their investments in data and analytics technologies, little research effort has been devoted to understanding how to best convert analytics assets into positive business performance. This issue can be best studied from the socio-technical perspective to gain a holistic understanding of the key factors relevant to implementing predictive analytics. Based upon information from structured interviews with information technology and analytics executives of 11 organizations across the …
Activities Tailoring Within Agile Scrum Roles: A Case Of Nigerian Healthcare Information Systems Development,
2024
University of Salford
Activities Tailoring Within Agile Scrum Roles: A Case Of Nigerian Healthcare Information Systems Development, Yazidu Salihu, Julian Bass, Gloria Iyawa
Journal of International Technology and Information Management
Developing quality agile healthcare information systems requires understanding regulatory compliance and evolving healthcare needs through activities tailored within agile scrum roles. Agile scrum, a widely adopted philosophy, offers significant advantages in managing software development processes. This research explores how activities within the agile scrum roles are tailored to agile healthcare information systems development within the Nigerian context. This study adopted a qualitative case study methodology and interviewed 12 agile practitioners developing healthcare information systems within Nigeria using semi-structured open-ended interview guide questions. The practitioners were selected based on a snowballing process, a sunset of purposive sampling techniques from our network …
Advancing Household Robotics: Deep Interactive Reinforcement Learning For Efficient Training And Enhanced Performance,
2024
Independent Researcher, Concord, North Carolina
Advancing Household Robotics: Deep Interactive Reinforcement Learning For Efficient Training And Enhanced Performance, Arpita Soni, Sujatha Alla, Suresh Dodda, Hemanth Volikatla
Engineering Management & Systems Engineering Faculty Publications
The market for domestic robots—made to perform household chore, is growing as these robots relieve people of everyday responsibilities. Domestic robots are generally welcomed for their role in easing human labour, in contrast to industrial robots, which are frequently criticised for displacing human workers. But before these robots can carry out domestic chores, they need to become proficient in a number of minor activities, such as recognizing their surroundings, making decisions, and picking up on human behaviours. Reinforcement learning, or RL, has emerged as a key robotics technology that enables robots to interact with their environment and learn how to …
Advancing The Manufacturing Engineering Technology Pathway: Innovating And Developing The Curriculum (Courses And Labs) From Associate To Bachelor's Level,
2024
Old Dominion University
Advancing The Manufacturing Engineering Technology Pathway: Innovating And Developing The Curriculum (Courses And Labs) From Associate To Bachelor's Level, Afi Anuar, Vukica Jovanovic, Nathan Luetke, Hamid Eisazadeh, Isaac Flory Iv, Mileta Tomović, Anthony W. Dean
Engineering Technology Faculty Publications
The southeastern region of Virginia, specifically Hampton Roads, has a diverse manufacturing landscape encompassing a range of enterprises, from small businesses to large corporations. This sector includes shipbuilding, construction machinery, aeronautics, and food processing. However, both the region and the broader state of Virginia are struggling with a skilled labor shortage that fails to meet the demands of these manufacturing enterprises. This paper aims to provide insights into the recently established Manufacturing Engineering Technology (MFET) program at Old Dominion University, located in Norfolk, Virginia. The MFET program features a comprehensive curriculum, encompassing the development of new courses and the establishment …
Large Retail Logistics Warehouse Execution System,
2024
Northern Illinois University
Large Retail Logistics Warehouse Execution System, Michael Broughton
Graduate Research Theses & Dissertations
In this study, integrated technical solutions designed for large retail logistics (LRL) material handling equipment (MHE) were integrated with advanced technical industry trends to create a warehouse execution/warehouse control system (WES/WCS) distribution center (DC) model. This model was executed using a distributor profitability framework. The resulting process metrics, financial elements, and forecasted financial drivers within the new model were tested against a standard warehouse management system (WMS) DC model without WES or integrated WCS technical solutions. The hypothesis was that using the WES/WCS DC model in automating store functionality would result in superior cost-effective solutions for the P&L/EBITDA lines of …
Data-Driven Approaches For Achieving Carbon Neutrality: Predictive Models For Reducing Co2 Emissions And Enhancing Industrial Sustainability,
2024
West Virginia University
Data-Driven Approaches For Achieving Carbon Neutrality: Predictive Models For Reducing Co2 Emissions And Enhancing Industrial Sustainability, Farzana Islam
Graduate Theses, Dissertations, and Problem Reports (ETD)
In response to the escalating challenges posed by climate change and industrial inefficiency, this thesis presents a comprehensive investigation aimed at advancing the predictive modeling of global CO2 emissions and enhancing operational efficiency in steel manufacturing through Electric Arc Furnace (EAF) temperature optimization. Leveraging a rich dataset sourced from the World Development Indicators database alongside a meticulously curated dataset specific to EAF operations, our study applies an innovative blend of econometric and machine learning techniques, including Pooled Ordinary Least Squares (Pooled OLS), Random Effects (RE), Fixed Effects (FE), and Seasonal Autoregressive Integrated Moving Average with Exogenous Variables (SARIMAX) models. The …
A Mixed Methods Approach To Evaluation And Modeling Of Ergonomic Stressors Due To Mass Decedent Handling,
2024
West Virginia University
A Mixed Methods Approach To Evaluation And Modeling Of Ergonomic Stressors Due To Mass Decedent Handling, Vaishakhi Suresh
Graduate Theses, Dissertations, and Problem Reports (ETD)
Work-related injuries, illnesses, and musculoskeletal disorders (MSDs) significantly impact the U.S. healthcare industry, leading to lost working days, high medical costs, and increased turnover rates among healthcare workers (HCWs). Increased physical and mental health risks due to the handling of deceased during COVID-19 pandemic has exacerbated these issues. While the ergonomic risks of patient handling are well-studied, limited research exists on the ergonomic risks of manual handling of the deceased. Therefore, the primary objective of this study was to explore the challenges associated with decedent handling so that effective safety interventions to reduce the risk of injury and mental distress …
Investigating The Influence Of Container Design And A Bulge Reduction Technique In Corrugated Fiberboard Containers Under Static Compression,
2024
California Polytechnic State University - San Luis Obispo
Investigating The Influence Of Container Design And A Bulge Reduction Technique In Corrugated Fiberboard Containers Under Static Compression, Jay Singh, Koushik Saha
Industrial Technology and Packaging
This study explored the bulge effect in corrugated fiberboard boxes caused by excessive weight, leading to compromised stacking strength and potential product damage. It investigated how container design, specifically the height variations of regular slotted containers (RSCs), affects bulging under compression and its vulnerability to environmental conditions. Testing met ASTM standards, with samples conditioned according to ASTM and TAPPI protocols, revealing that changes in box height influence bulge displacement. Subsequent research examined the impact of top-to-bottom static compression loads on bulging in tape-reinforced RSC designs, evaluating bulge reduction and compression strength across various tape placements and environments. Notably, previous studies …
Co-Evolving Multi-Agent Transfer Reinforcement Learning Via Scenario Independent Representation,
2024
Missouri State University
Co-Evolving Multi-Agent Transfer Reinforcement Learning Via Scenario Independent Representation, Ayesha Siddiqua
Graduate Theses/Dissertations
Multi-Agent Reinforcement Learning (MARL) addresses complex tasks involving cooperation and competition among agents, training them to develop optimal policies for collective goals. However, facilitating simultaneous learning for multiple agents is challenging because the complexity increases rapidly with the number of agents. Current methods encompass a variety of centralized, decentralized, semi-centralized, and hybrid approaches to balance the trade-offs between computational efficiency, scalability, and coordination in MARL. In this study, I employed a centralized training with semi-centralized execution (CTSCE) framework, utilize both local observations from agents and abstracted global observations to effectively train agents in cooperative environments. Additionally, earning complex, domain-specific tasks …
Automation Of Productive Machinery. Bases For An Innovative Business Model,
2024
Pontificia Universidad Católica del Perú
Automation Of Productive Machinery. Bases For An Innovative Business Model, Carlos Guillermo Hernández-Cenzano, Angel Contreras-Cruz, Eduardo Humada-Tello
Engineering and Technology Management Faculty Publications and Presentations
Nowadays, some laboratories perform elastic properties tests for concrete or rock cores using equipment manufactured 50 years ago. The original data collection procedure uses analog and manual recordings, which can cause inaccuracies in the measurements taken during these trials The process is tedious and updated since each trial's measurement data is recorded manually. In this context, this study systematizes the process and proposes an automated data acquisition and recording system for this type of equipment, followed by a case study presenting a rock compression test.
Mouralherwaqh Coastal Wetland Road Crossing Da'luk,
2024
Cal Poly Humboldt
Mouralherwaqh Coastal Wetland Road Crossing Da'luk, Romel Robinson Ii
Cal Poly Humboldt theses and projects
The integration of Indigenous and Western science plays an essential role in Tribally led collaborations for land management. This process of woven sciences is rooted in reciprocal relations and partnerships guided by Tribal Nations. Our cohort was invited by Wiyot Tribal Representatives to investigate a culvert located within the wetlands of Mouralherwaqh— a parcel of land reacquired by the Wiyot Tribe in 2022. This document seeks to share our experience and analysis as part of the Wiyot Tribe’s broader journey in navigating ecocultural restoration projects within Mouralherwaqh. The four community interests we investigated for the wetland crossing included a resized …
What Can We Learn From A Co-Creation Journey For A Quick Scan Digital Transformation Maturity Assessment Tool For Development Ngos?,
2024
HU University of Applied Sciences Utrecht
What Can We Learn From A Co-Creation Journey For A Quick Scan Digital Transformation Maturity Assessment Tool For Development Ngos?, Anand Sheombar
Journal of International Technology and Information Management
This paper describes the approach and lessons learned from a co-creation process with Dutch development NGOs to create a practical and easy-to-use assessment tool for practitioners to assess the organisation's maturity level of digital transformation. For this study, we applied a design science research methodology, specifically a six-step co-creation approach suitable for developing maturity models. The digital maturity assessment tool (quick scan) created is a domain- specific digital transformation maturity tool for development NGOs rather than a generally applicable tool. This artefact was evaluated using an eight-point Requirements framework for the development of digital maturity assessment tools. By developing a …
Prediction Of Anomalous Events With Data Augmentation And Hybrid Deep Learning Approach,
2024
West Virginia University
Prediction Of Anomalous Events With Data Augmentation And Hybrid Deep Learning Approach, Ahmed Shoyeb Raihan
Graduate Theses, Dissertations, and Problem Reports (ETD)
In this study, we propose a novel anomaly detection framework designed specifically for Multivariate Time Series (MTS) data, addressing the prevalent challenges in analyzing such complex datasets. The detection of anomalies within MTS data is notably difficult due to the complex interplay of numerous variables, temporal dependencies, and the common issue of class imbalance, where one category significantly outnumbers another. Traditional deep learning (DL) approaches often fall short in simultaneously tackling these issues. Our framework is designed to address these challenges through a two-phased approach. Phase I employs Conditional Tabular Generative Adversarial Networks (CTGAN) to create strategic synthetic data, setting …
Milk Collection Problem: Integrating The Traveling Salesman And Set Covering Problem - A Case Study In West Virginia, Usa,
2024
West Virginia University
Milk Collection Problem: Integrating The Traveling Salesman And Set Covering Problem - A Case Study In West Virginia, Usa, Md Rabiul Hasan
Graduate Theses, Dissertations, and Problem Reports (ETD)
Route determination for perishable products is complex due to its unique characteristics, such as limited shelf-life regulatory requirements, or possibility of getting damaged. This research investigates a novel problem of collecting raw milk from a rural network of dairy farms. The research problem is grounded in a real scenario of milk collection in West Virginia, USA. The milk in this scenario is produced by small farms incapable of realizing transportation economies of density out in mostly rural areas throughout the state. Maximum coverage area and milk processing overhead costs are used to identify suitable locations for intermediate milk collection centers …
Laser Deposition Additive Manufacturing Of Multi-Material And Metal-Ceramic Composite Structures,
2024
West Virginia University
Laser Deposition Additive Manufacturing Of Multi-Material And Metal-Ceramic Composite Structures, Manikanta Grandhi
Graduate Theses, Dissertations, and Problem Reports (ETD)
The increasing performance requirements of modern industrial systems, coupled with the imperative for decarbonization, necessitate a fundamental rethinking of metallic component design and manufacturing. Traditional materials, with their inherent limitations in property optimization, susceptibility to degradation, and weight constraints, are proving insufficient. Multi-material joining offers a potential solution, enabling designers to strategically integrate diverse materials with specific, tailored properties into single component. Functionally graded materials (FGMs) and oxide dispersion strengthened (ODS) materials are prime examples of this approach, delivering substantial improvements in wear resistance, thermal regulation, high-temperature resilience, and overall weight efficiency. However, conventional manufacturing approaches further exacerbate the limitations …
Railroad Condition Monitoring Using Distributed Acoustic Sensing And Deep Learning Techniques,
2024
Georgia Southern University
Railroad Condition Monitoring Using Distributed Acoustic Sensing And Deep Learning Techniques, Md Arifur Rahman
College of Graduate Studies: Theses & Dissertations
Proper condition monitoring has been a major issue among railroad administrations since it might cause catastrophic dilemmas that lead to fatalities or damage to the infrastructure. Although various aspects of train safety have been conducted by scholars, in-motion monitoring detection of defect occurrence, cause, and severity is still a big concern. Hence extensive studies are still required to enhance the accuracy of inspection methods for railroad condition monitoring (CM). Distributed acoustic sensing (DAS) has been recognized as a promising method because of its sensing capabilities over long distances and for massive structures. As DAS produces large datasets, algorithms for precise …
