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Down the Bay Oral History Project
Get PDFDown the Bay is a historic neighborhood on the south side of Mobile, Alabama. Dr. Kern Jackson, Dr. Ryan Morini, and Jada Jones share their experiences working on the Down the Bay Oral History Project, an effort to record interviews with community members who lived or have lived in the neighborhood.They have recorded over 100 narratives of life in the neighborhood. The project is part of the I-10 Mobile River Bridge Archaeological Project. This video was produced by the USA Center for Archaeological Studies and Motivation Media Inc.The I-10 Mobile River Bridge Archaeological Project was funded by the Alabama Department of Transportation and the Federal Highway Administration. Project partners include the USA Center for Archaeological Studies, Wiregrass Archaeological Consulting, The Doy Leale McCall Rare Book and Manuscript Library, and the USA African American Studies Department
What are Aritfacts and Features?
Get PDFArchaeologists divide finds into two categories: artifacts and features. In our Ask an Archaeologist series, we answer commonly asked questions about archaeological terms and processes. This video was produced by the USA Center for Archaeological Studies and Motivation Media Inc. as part of the I-10 Mobile River Bridge Archaeological Project. This project was funded by the Alabama Department of Transportation and the Federal Highway Administration. Project partners include the USA Center for Archaeological Studies, Wiregrass Archaeological Consulting, The Doy Leale McCall Rare Book and Manuscript Library, and the USA African American Studies Department.https://jagworks.southalabama.edu/cas-video_ask-an-archaeologist/1011/thumbnail.jp
What happens to the artifacts?
Get PDFThis video unpacks archaeological lab processes and shares what happens to artifacts after they are excavated from an archaeological site. In our Ask an Archaeologist series, we answer commonly asked questions about archaeological terms and processes. This video was produced by the USA Center for Archaeological Studies and Motivation Media Inc. as part of the I-10 Mobile River Bridge Archaeological Project. This project was funded by the Alabama Department of Transportation and the Federal Highway Administration. Project partners include the USA Center for Archaeological Studies, Wiregrass Archaeological Consulting, The Doy Leale McCall Rare Book and Manuscript Library, and the USA African American Studies Department.https://jagworks.southalabama.edu/cas-video_ask-an-archaeologist/1015/thumbnail.jp
Aerophone
Get PDFThis aerophone was found at the Old Water Street Site near downtown Mobile during excavations for the I-10 Mobile River Bridge Archaeological Project. This video was produced by the USA Center for Archaeological Studies and Motivation Media Inc. This project was funded by the Alabama Department of Transportation and the Federal Highway Administration. Project partners include the USA Center for Archaeological Studies, Wiregrass Archaeological Consulting, The Doy Leale McCall Rare Book and Manuscript Library, and the USA African American Studies Department.https://jagworks.southalabama.edu/cas-videos_artifact-highlights/1003/thumbnail.jp
Stone Tool
Get PDFThis stone tool was found at the Virginia Street Site near downtown Mobile during excavations for the I-10 Mobile River Bridge Archaeological Project. This video was produced by the USA Center for Archaeological Studies and Motivation Media Inc. This project was funded by the Alabama Department of Transportation and the Federal Highway Administration. Project partners include the USA Center for Archaeological Studies, Wiregrass Archaeological Consulting, The Doy Leale McCall Rare Book and Manuscript Library, and the USA African American Studies Department.https://jagworks.southalabama.edu/cas-videos_artifact-highlights/1016/thumbnail.jp
WAH 004B Earl Bracy 4-12-2024
Get PDFThis transcript records the second interview with Dr. Earl Bracy. Vickie Graham and Mara Kozelsky were interviewers. The discussion begins with Dr. Bracy’s move to Oak Creek Wisconsin and his memories of his childhood there. He addresses differences between growing up in segregated Alabama and transitioning to an integrated school in Wisconsin. He returned to Alabama to finish high school and fondly recalls his experience at Baldwin County Training School, his teachers and his friendships there. Dr. Bracy gives details of his first job and his at the Parker House restaurant in Fairhope and shares stories related to testing the boundaries of segregation. His return to Wisconsin after graduation led to his joining the NAACP, active participation in the Civil Rights movement there, and marching with Father James A. Groppi for open housing. Finally, Dr. Bracy offers insights into his being drafted into the Vietnam War, followed by his long and varied medical career, ending with his work in psychology
Hybrid Deep Learning-Based Model for Eclipse Attack Detection on Ethereum Network
Get PDFAn eclipse attack is a significant cyber threat targeting the network layer of blockchain platforms. Detecting eclipse attacks is challenging for several reasons. First, there are no available datasets for training and testing models. Second, comprehensive studies identifying features to detect eclipse attacks are lacking. Additionally, the amount of eclipse network traffic is much smaller than that of normal network traffic, which leads to imbalanced samples. Moreover, the characteristics of eclipse network traffic closely resemble those of normal traffic, causing overlapping samples, which makes it challenging for traditional classifiers to learn how to identify eclipse attacks. To address these challenges, this research explores useful features for detecting eclipse attacks and mitigates the impact of imbalanced and overlapping issues in datasets. The research then introduces two hybrid deep learning models, the Parallel Hybrid Deep Learning-Based Model (PHDLBM) and the Series Hybrid Deep Learning-Based Model (SHDLBM), for detecting eclipse attacks on Ethereum network layers. To obtain datasets, eclipse attacks are simulated on real Ethereum platforms, and network traffic is collected under three conditions: datasets with 10%, 20%, and 40% eclipse attacks. Thirty-one features are extracted from raw network traffic and grouped into five categories, including common network traffic, Entropy, φ-Entropy divergence, network packet characteristic statistics, and network packet communication statistics. The SMOTE and Tomek algorithms are combined to mitigate imbalanced and overlapping samples in the datasets. The performance of the extracted features is evaluated using four traditional classifiers (Decision Tree, Random Forest, k-nearest neighbors, and XGBoost) and two deep learning algorithms (CNN and Bi-LSTM). Additionally, two proposed models are implemented to classify eclipse attacks. PHDLBM processes input data in parallel, while SHDLBM processes it sequentially. The Multi-head attention is added to enhance the model performance. Experimental results indicate that our extracted features are effective in detecting eclipse attacks, with not all 31 features necessary for high performance. The SMOTE and Tomek algorithms provide a slight increase in model performance but significantly impact prediction time. At 10% eclipse attack datasets, traditional machine learning models achieve high accuracy but sometimes misclassify eclipse attacks as normal traffic or are too slow to classify attacks, with similar results from common deep learning models. While the PHDLBM achieves 95.86% accuracy, the SHDLBM reaches 96.28%, with PHDLM achieving a perfect Recall of 100%. SHDLBM offers the best balance of Precision, Recall, F1-Score, and Accuracy among the seven models. As attack instances increase to 20%, the accuracy of PHDLBM and SHDLBM rises to 98.49% and 98.55%, respectively, with improvements in Precision, Recall, and F1-Score. When implementing a 40% eclipse attack dataset, both models show slight increases in accuracy, with PHDLBM achieving the highest accuracy of 99.01% among the seven models. Both models demonstrate strong predictive capabilities
J.A.W.S. Fest Jazzy Lunch - May 29, 2024
No full textJoin us as we capture the incredible band Dauphin Street Stompers, delivering a captivating performance of jazz poetry. Let their soulful melodies and thought-provoking lyrics transport you to another world while you enjoy a delicious lunch and provided snacks. Whether you\u27re a jazz enthusiast, a poetry lover, or simply looking for a unique and enjoyable way to spend your afternoon, Jazzy Lunch has something special in store for you.https://jagworks.southalabama.edu/jaws-lunch_2024/1003/thumbnail.jp
Shielding International Students from Foreign Influence: The Vital Role of Robust University Research Security Programs
Get PDFhttps://jagworks.southalabama.edu/fric2024_presentations/1006/thumbnail.jp
