Cypress College is a public community college in Cypress, California. It is part of the California Community Colleges System and belongs to the North Orange County Community College District. It offers a variety of general education (55 associate degrees), transfer courses (58 transfer majors), and 145 vocational programs leading to associate degrees and certificates.
IoT intrusion-detection models are useful only if they detect attacks without becoming too costly to run. We compared Logistic Regression, Decision Tree, Random Forest, and XGBoost on binary CICIoT2023 intrusion detection using a cleaned file with 21,005,260 rows and 37 numeric features. The main experiment used five attack-resampling balanced outer runs: each outer run reused all 1,047,367 benign records and sampled an equal number of attack records, followed by five inner train-validation-test splits. XGBoost had the highest default-threshold F1-score in the main experiment (0.983109 ± 0.000205), followed by Decision Tree (0.982860 ± 0.000257), Random Forest (0.982237 ± 0.000371), and Logistic Regression (0.974215 ± 0.000272). Because the main outer runs share the benign records, we interpret the paired tests as evidence from repeated attack resampling rather than as five fully independent datasets. To address this limitation, we added a disjoint sensitivity analysis in which both benign and attack rows were resampled into non-overlapping 100,000-per-class outer subsets. The same general pattern remained: XGBoost reached 0.982572 ± 0.000612 F1, while Logistic Regression reached 0.974407 ± 0.000920. A feature-ablation check dropping Number and HTTPS caused only small F1 decreases and did not change the main ordering. Per-record inference latency on the main balanced test split ranged from 0.615 μs for Logistic Regression to 1.124 μs for Random Forest, with XGBoost at 0.647 μs. Overall, the results support tree-based models for this controlled binary benchmark, while also showing why latency, footprint, and dataset-specific shortcuts must be considered before making deployment claims.
In Memoriam In Memoriam: Dr. Kenneth J. Bell: Accepted Manuscript Amanie N. Abdelmessih, Amanie N. Abdelmessih A. Abdelmessih, 16635 Spring Cypress Rd. # 1845 Cypress, TX 77433-9998 Email: nefertity3@outlook.com Search for other works by this author on: This Site PubMed Google Scholar John R. Howell, John R. Howell 2308 Indian Trl Stop C2200 Austin, TX 78703 Email: jhowell@mail.utexas.edu Search for other works by this author on: This Site PubMed Google Scholar S.A. Sherif, S.A. Sherif Department of Mechanical and Aerospace Engineering 1064 Center Drive, Room 181 NEB Building Gainesville, FL 32611 Email: sasherif@ufl.edu Search for other works by this author on: This Site PubMed Google Scholar Michael Ohadi Michael Ohadi Department of Mechanical Engineering yyy College Park, MD 20740 Email: ohadi@umd.edu Search for other works by this author on: This Site PubMed Google Scholar Author and Article Information Amanie N. Abdelmessih A. Abdelmessih, 16635 Spring Cypress Rd. # 1845 Cypress, TX 77433-9998 John R. Howell 2308 Indian Trl Stop C2200 Austin, TX 78703 S.A. Sherif Department of Mechanical and Aerospace Engineering 1064 Center Drive, Room 181 NEB Building Gainesville, FL 32611 Michael Ohadi Department of Mechanical Engineering yyy College Park, MD 20740 Email: nefertity3@outlook.com Email: jhowell@mail.utexas.edu Email: sasherif@ufl.edu Email: ohadi@umd.edu J. Thermal Sci. Eng. Appl. 1-4 (4 pages) Paper No: TSEA-24-1590 https://doi.org/10.1115/1.4067883 Published Online: February 7, 2025 Article history Received: December 2, 2024 Revised: January 27, 2025 Accepted: January 29, 2025 Published: February 7, 2025
This volume showcases the research, teaching, and community engagement of fellows from the Mellon/ACLS Community College Faculty Fellowship program, which from 2018 to 2025 supported 110 faculty across 61 institutions. Edited by Carmen Carrasquillo (San Diego Miramar College) and Brian Stipelman (Frederick Community College), the collection highlights the challenges and opportunities faced by two-year-college scholars, documenting how they integrate research into the classroom and serve diverse student communities. More than a record of individual projects, the publication celebrates the vital role of community college faculty as teacher-scholars whose contributions enrich the humanities and higher education at large.
California's significant role as the second-largest consumer of energy in the United States underscores the importance of accurate energy consumption predictions. With a thriving industrial sector, a burgeoning population, and ambitious environmental goals, the state's energy landscape is dynamic and complex. This paper presents a comprehensive analysis of California's energy consumption trends and provides detailed forecasting models for different energy sources and sectors. The study leverages ARIMA and ARIMAX models, considering both historical consumption data and exogenous variables. We address the unique challenges posed by the COVID-19 pandemic and the limited data for 2022, highlighting the resilience of these models in the face of uncertainty. Our analysis reveals that while fossil fuels continue to dominate California's energy landscape, renewable energy sources, particularly solar and biomass, are experiencing substantial growth. Hydroelectric power, while sensitive to precipitation, remains a significant contributor to renewable energy consumption. Furthermore, we anticipate ongoing efforts to reduce fossil fuel consumption. The forecasts for energy consumption by sector suggest continued growth in the commercial and residential sectors, reflecting California's expanding economy and population. In contrast, the industrial sector is expected to experience more moderate changes, while the transportation sector remains the largest energy consumer.
With the need to increase Science, Technology, Engineering, and Mathematics (STEM) graduates, higher education institutions need to identify and improve ways to increase underrepresented STEM student retention rates. Cypress College in Southern California implemented a program called STEM2 (Strengthen Transfer Education and Matriculation in Science, Technology, Engineering, and Mathematics) to give students the support and the resources to continue with their intended majors. In this study, we examined the impact of the STEM2 participation for 1,113 students on multiple core outcomes of retention, four-year transfer, and associates of arts (AA) degree completion of STEM students. Logistics regression was used to determine the significance of input variables and the odds that the desired outcome was achieved. Results indicated there is a difference in student outcomes based on the students' ethnicity, enrollment in the STEM2 program, and use of student support programs. Implications for practice and future research were also included.
