Conference Proceedings and Presentations
Permanent URI for this collection
Browse
Search Collection
1 - 5 of 13657
-
PresentationIntroducing Iowa State University Library Vocabularies (ISULV)( 2025-01-09)This session of Metadata Matters introduces the library’s new local linked data vocabularies site, Iowa State University Library Vocabularies (ISULV). You will learn why and how metadata creators, researchers, writers, and anyone interested in the Iowa State community can use ISULV. You also will gain a linked data refresher and an understanding of the underlying CollectionBuilder technology. The presentation includes a live tour of the site: https://digital.lib.iastate.edu/isulv/.
-
PresentationApplication of Commercial Connected Vehicle Telematics Data to Evaluate Drivers' Behavior at the Onset of Yellow in a Signalized Corridor(Institute of Electrical and Electronics Engineers (IEEE), 2024-11-28)This study integrates commercial connected vehicle (CV) telematics data with signal phase and timing (SPaT) information to analyze vehicular decision-making at the onset of yellow intervals at seven signalized intersections in Dubuque, Iowa. This research employs a novel approach by integrating signal phase data from traffic controllers with emerging CV data to identify Time to Yellow (TTY) information associated with each vehicle's journey and determine the stop-and-go decisions made by vehicles at the onset of yellow signals. Heatmaps were generated using the probability of stopping to visualize the dilemma zones and assess the outcomes for vehicles that decide to proceed, particularly regarding their ability to clear the intersection before the red clearance interval ends. The analysis explicitly highlights intersections 3, 4, and 6, indicating a need for further safety improvements (such as rumble strips or a yellow warning system) due to a higher incidence of vehicles failing to clear the intersection. The findings underscore the value of vehicle telematics information in monitoring dilemma zones in near real-time and informing advanced signal timing strategies, thereby enhancing our understanding of driver responses at intersections and potentially improving safety management.
-
PresentationML-based Anomaly Detection for CAN Bus Network in Agriculture Machinery(Association for the Advancement of Artificial Intelligence (AAAI), 2024-11-08)The adoption of advanced automation and next-generation technologies like the Internet of Things (IoT) and modern communication networks has revolutionized the food and agriculture sector, boosting the efficiency and precision of farm machinery. However, this increased inter-connectivity has also exposed significant vulnerabilities, particularly in Controller Area Network (CAN) protocols, widely used in advanced agricultural machinery and equipment. Due to its lack of inherent security features, CAN is susceptible to various cyber-attacks, potentially leading to severe consequences if these attacks remain undetected and unmitigated. This paper introduces a supervised machine learning (ML)-based anomaly detection system (CAN-ADS) designed to detect various cyber-attacks on CAN-based agricultural machinery. The system leverages network traffic augmentation and data balancing techniques to train ML algorithms on CAN-specific datasets. Experimental results show that CAN-ADS achieves high accuracy (≈ 98%) and true-positive rates with low false-negative rates (≈ 1%).
-
PresentationImpact Characterization of Cyber Attacks on Grid-Connected Microgrid Operations(Institute of Electrical and Electronics Engineers (IEEE), 2024-11-07)Microgrids are crucial for the modern power grid due to their ability to ensure reliable power supply, enhance resilience, and operate independently through islanding. However, rising cybersecurity concerns make them vulnerable to attacks, leading to inefficiency and higher operational costs. Therefore, understanding the system-wide impacts of cyber attacks is crucial for developing practical risk assessments and countermeasures for microgrids. This paper presents a methodology to analyze the impact of cyber attacks on microgrids, considering operational cost as an impact metric under optimized microgrid scenarios. NESCOR vulnerability classes are used to identify relevant attack vectors, and data integrity attacks on control and measurement signals are considered. A detailed assessment of the impacts is conducted within a cyber-physical system (CPS) testbed environment utilizing an open-source MATLAB model. The experimental results reveal that data integrity attacks on control signals exhibit higher severity than those on measurement signals, demonstrating that attackers can adjust control set points to compel the microgrid owner to draw more power from the grid, thereby increasing utility bills.
-
PresentationComparing Chemical Stabilizers for Improving Iowa Granular Road Bearing Capacity(Springer, Singapore, 2024-10-25)Granular roads in Iowa are essential for transporting agricultural goods and providing access to isolated regions such as rural homes. Regular maintenance is necessary to ensure the safety and comfort of all types of vehi-cles, including heavy farm and quarry trucks, as well as local residents' cars. The strength and stability of the aggregate layer are critical to the overall per-formance and longevity of the granular roads. This study aims to evaluate the performance of different chemical stabilizers for improving the aggregate lay-er's strength. Limestone was used in the study which is the primary aggregate utilized in Iowa, and three proprietary chemical stabilizers were tested, includ-ing two ionic-based stabilizers and a single enzyme-based stabilizer. Laboratory California Bearing Ratio (CBR) tests were used to measure the strength. The optimized subgrade soil portion that provided the highest CBR value was found to be between 6-8%. The data were analyzed using a two-way Analysis of the Variance (ANOVA) test, which showed that the number of curing days and the type of chemical, as well as their interaction, played a significant role in the CBR value of aggregate materials. Overall, this study highlights the importance of chemical stabilizers in improving the strength of granular roads in Iowa and provides valuable insights for road maintenance and construction.