Digital Commons Network^™

The Public's Perception Of An Earthquake Early Warning System: A Study On Factors Influencing Continuance Intention, Marion Lara L. Tan, Lauren J. Vinnell, Alvin Patrick M. Valentin, Raj Prasanna, Julia S. Becker

Quantitative Methods and Information Technology Faculty Publications

This paper investigates the perceptions of the New Zealand public towards the Android Earthquake Alert (AEA) system, a public-facing earthquake early warning system. Specifically, it examines the public’s continuance intention towards the AEA system and the influencing factors of satisfaction, confirmation, perceived usefulness, and perceived trust. To gather insights into the public’s perceptions regarding the AEA system, this study distributed online surveys following two separate earthquake alert events on 12 October and 22 October 2021. A total of 524 and 671 participants responded to the two events’ surveys, providing valuable data for analysis and exploration. Structural Equation Modelling of the …

Like Treating The Symptom Rather Than The Cause - The Omission Of Courses Over Terrorism In Nsa Designated Institutions, Ida L. Oesteraas

Journal of Cybersecurity Education, Research and Practice

The National Security Agency (NSA) awards Center of Academic Excellence (CAE) designations to institutions that commit to producing cybersecurity professionals who will work in careers that reduce vulnerabilities in our national infrastructure. A review of the curricula in the 327 institutions and their degree programs reveal that only two programs offer a required course about terrorism. Given the fluid nature of terrorism and its threat to national infrastructure, the omission is concerning. It is recommended that NSA-certified cybersecurity programs begin implementing educational content that aim to teach about this emerging crime and justice issue. One suggestion is to embrace the …

Yolo And Lsh-Based Video Stream Analytics Landscape For Short-Term Traffic Density Surveillance At Road Networks, Lavanya K, Stuti Tiwari, Rahul Anand, Jude Hemanth

Turkish Journal of Electrical Engineering and Computer Sciences

The duty of monitoring traffic during rush hour is difficult due to the fact that modern roadways are getting more crowded every day. The automated solutions that have already been created in this area are ineffective at processing enormous amounts of data in a short amount of time, leading to ineffectiveness and inconsistent results. The YOLO (you only look once) and LSH (locality sensitive hashing) algorithms are combined with the Kafka architecture in this study to create a method for assessing traffic density in real-time scenarios. Our concept, which is specifically designed for vehicular networks, predicts the traffic density in …

A Case Study Of Sustainable Development At The Penonomé Wind Farms, A Cdm Registered Project In Coclé, John Matuszewski

Independent Study Project (ISP) Collection

The Penonomé wind projects fit into a long history of previous internationally financed development projects in Panama, including those from the Clean Development Mechanism. A moderate level of research has been conducted on other Clean Development Mechanism projects, but despite contributing to 5% of Panama’s energy needs and constituting the largest wind park in Central America, the Penonomé wind farms remain little researched. Semi-structured interviews were conducted with relevant people associated with the project or with relevant information to gain more information about the case study. Using the information processed from these reviews and information from publicly available resources, the …

Smart Homes And You: Iot Device Data Risks In An Ever-Changing World, Autumn Person

Theses and Dissertations

Social media applications are increasingly seen as a national security threat and a cause for concern because they can be used to create user profiles on government personnel and on US citizens. These profiles could be used for big data and artificial intelligence purposes of interest to foreign governments. With the rise of big data and AI being used, foreign governments could use this data for a variety of purposes that can affect normal everyday citizens, not just high value personnel. IoT (Internet of Things) devices that the population uses everyday can also pose the same threat. These devices can …

Roadway Characteristics And Car Accident Trends In Gettysburg, Pa, Max Smith, Jake H. Kennell, Russell H. Canova

Student Publications

This study addresses the rising motor vehicle accident and fatality rates in the United States (Moore, 2023). Focusing on the conditions in the Gettysburg Borough in an attempt to answer the following research questions: Are age of driver, weather conditions of car accidents, and traffic volume contributing to accidents in the Gettysburg Borough? What are the roadway characteristics of accident hot spot areas within the Gettysburg Borough? Utilizing Pennsylvania Department of Transportation (PennDOT) crash data from 2018 to 2022 and PennDot Average Annual Daily Traffic data, this study employs a comprehensive approach. Combining GIS analysis and statistical analysis to determine …

Feature Prediction Diffusion Model For Video Anomaly Detection, Cheng Yan, Shiyu Zhang, Yang Liu, Guansong Pang, Wenjun Wang

Research Collection School Of Computing and Information Systems

Anomaly detection in the video is an important research area and a challenging task in real applications. Due to the unavailability of large-scale annotated anomaly events, most existing video anomaly detection (VAD) methods focus on learning the distribution of normal samples to detect the substantially deviated samples as anomalies. To well learn the distribution of normal motion and appearance, many auxiliary networks are employed to extract foreground object or action information. These high-level semantic features effectively filter the noise from the background to decrease its influence on detection models. However, the capability of these extra semantic models heavily affects the …

Attention-Based Human Age Estimation From Face Images To Enhance Public Security, Md. Ashiqur Rahman, Shuhena S. Aonty, Kaushik Deb, Iqbal H. Sarker

Research outputs 2022 to 2026

Age estimation from facial images has gained significant attention due to its practical applications such as public security. However, one of the major challenges faced in this field is the limited availability of comprehensive training data. Moreover, due to the gradual nature of aging, similar-aged faces tend to share similarities despite their race, gender, or location. Recent studies on age estimation utilize convolutional neural networks (CNN), treating every facial region equally and disregarding potentially informative patches that contain age-specific details. Therefore, an attention module can be used to focus extra attention on important patches in the image. In this study, …

Dynamics Of A Giant Slow Landslide Complex Along The Coast Of The Aral Sea, Central Asia, Gökhan Aslan, Marcello De Michele, Daniel Raucoules, François Renard, John Dehls, Ivanna Penna, Reginald Hermanns, Zi̇yadi̇n Çakir

Turkish Journal of Earth Sciences

We report here a slow-moving landslide complex of the lateral spreading type revealed by Sentinel-1 interferometric timeseries analysis. Located along the western coast of the Aral Sea, with a >150-km length and 3-km width, a giant active landslide complex, slides with a constant velocity of up to 60 mm/year. Systematic subsidence up to 5 mm/year is also observed along narrow strips of terraces that appear to result from rotations of fault-bounded blocks. The landslide deformation velocity does not correlate with the annual variations of the water level in the southwestern lake of the Aral Sea during the observation period of …

Belt And Road Science & Technology Cooperation: Current Situation, Challenges And Development Directions, Hongyan He, Shuxian Wu, Jiayu Xin, Hui Zhao, Yanlei Wang, Dongxia Yan, Linglong Shan, Xin Wang, Yuliang Zhao

Bulletin of Chinese Academy of Sciences (Chinese Version)

Since the Belt and Road Initiative was put forward, China has actively engaged in innovation cooperation with coconstruction countries and regions, and has made gratifying achievements in basic scientific research, technology transfer and transformation, the cooperation network and platform base construction. At present, new changes and situations in the political and economic landscape worldwide have put forward higher requirements for the construction of the Belt and Road Initiative. Therefore, high-quality joint construction of Belt and Road needs to sum up the experience and identify areas of cooperation. In this context, the study summarizes the current situation and main challenges of …

The Methods Of Communication And Education Used To Train Forest And Fire Personnel Through The Swanton Pacific Ranch, Christine Brittney Johnson

Master of Science in Environmental Sciences and Management Projects

California does not have a cohesive curriculum for educating and training forest and fire professionals. The Swanton Pacific Ranch Fuels Management Training Program is Cal Fire affiliated and provides online and in person training to assist in equipping fire and forest professionals throughout California with the necessary skills to be successful fire and forest practitioners and managers. An exit survey was offered to all workshop participants after the Swanton workshop concluded. The survey was answered by 331 Swanton workshop participants to assess the effectiveness of the training program, the educational practices used to teach participants, and what factors of a …

Graph-Level Anomaly Detection Via Hierarchical Memory Networks, Chaoxi Niu, Guansong Pang, Ling Chen

Research Collection School Of Computing and Information Systems

Graph-level anomaly detection aims to identify abnormal graphs that exhibit deviant structures and node attributes compared to the majority in a graph set. One primary challenge is to learn normal patterns manifested in both fine-grained and holistic views of graphs for identifying graphs that are abnormal in part or in whole. To tackle this challenge, we propose a novel approach called Hierarchical Memory Networks (HimNet), which learns hierarchical memory modules---node and graph memory modules---via a graph autoencoder network architecture. The node-level memory module is trained to model fine-grained, internal graph interactions among nodes for detecting locally abnormal graphs, while the …

Final 2023 Residential Metals Abatement Program (Rmap) Stodden Park Soil Remedial Action Work Plan (Rawp), Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Final 2023 Residential Metals Abatement Program (Rmap) Stodden Park Soil Remedial Action Work Plan (Rawp), Pioneer Technical Services, Inc.

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Approval For The Butte Priority Soils Operable Unit (Bpsou) 2023 Residential Metals Abatement Program Stodden Park Soil Remedial Action Work Plan (Rawp) (Dated August 8, 2023), Nikia Greene

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Approval For The Butte Priority Soils Operable Unit (Bpsou) 2023 Residential Metals Abatement Program Stodden Park Soil Remedial Action Work Plan (Rawp) (Dated August 8, 2023), Nikia Greene

Silver Bow Creek/Butte Area Superfund Site

No abstract provided.

Ranking And Analysis The Strategies Of Crowd Management To Reduce The Risks Of Crushes And Stampedes In Crowded Environments And Ensure The Safety Of Passengers, Waleed Tawfiq Al-Nami

Neutrosophic Systems with Applications

Public gatherings, transit hubs, stadiums, and crowded retail malls are just a few examples of places where crowd management has become an urgent issue in recent years. Effective crowd management strategies have been required due to the increasing population, urbanization, and frequency of large-scale meetings. These strategies are used in dynamic, sometimes chaotic, circumstances to protect people and facilitate their free movement. The purpose of this study is to analyze and rank various strategies for crowd management to reduce the risks of crushes and stampedes, improve security, and facilitate smoother traffic flow. This study used the single-valued neutrosophic set to …

Assessment Of Facultative Sulfur Reducing Bacteria In Acidic And Circumneutral Passive Remediation Systems Using A Novel Culturing Technique, Natalie Lamagna

Electronic Theses and Dissertations

Pollution resulting from abandoned mine drainage (AMD) is widespread across the nation and impacts thousands of miles of watersheds in Pennsylvania alone. AMD contaminants pose hazards to ecosystems and to human health by lowering the pH and by suspending toxic heavy metals in water. Sulfur reducing bacteria (SRB) are known to remove metals and sulfur species from mine drainage through the formation of metal sulfide precipitates and have been documented to raise the alkalinity of water. Therefore, it is necessary to understand the environmental conditions in which these microorganisms survive. Environmental samples were collected from a circumneutral and an acidic …

Urban Vulnerability Analysis Based On Micro-Geographic Unit With Multi-Source Data—Case Study In Urumqi, Xinjiang, China, Jianghua Zheng, Danlin Yu, Chuqiao Han, Zhe Wang

Department of Earth and Environmental Studies Faculty Scholarship and Creative Works

This study introduces a novel approach to urban public safety analysis inspired by a streetscape analysis commonly applied in urban criminology, leveraging the concept of micro-geographical units to account for urban spatial heterogeneity. Recognizing the intrinsic uniformity within these smaller, distinct environments of a city, the methodology represents a shift from large-scale regional studies to a more localized and precise exploration of urban vulnerability. The research objectives focus on three key aspects: first, establishing a framework for identifying and dividing cities into micro-geographical units; second, determining the type and nature of data that effectively illustrate the potential vulnerability of these …

Generalizable Deep-Learning-Based Wireless Indoor Localization, Ali Owfi

All Theses

The growing interest in indoor localization has been driven by its wide range of applications in areas such as smart homes, industrial automation, and healthcare. With the increasing reliance on wireless devices for location-based services, accurate estimation of device positions within indoor environments has become crucial. Deep learning approaches have shown promise in leveraging wireless parameters like Channel State Information (CSI) and Received Signal Strength Indicator (RSSI) to achieve precise localization. However, despite their success in achieving high accuracy, these deep learning models suffer from limited generalizability, making them unsuitable for deployment in new or dynamic environments without retraining. To …

Healthcare Built Environment And The Covid-19 Pandemic, A Mixed-Method Study, Mohammad Saleh Nikooopayan Tak

All Theses

The outbreak of COVID-19 presented an unparalleled risk to public health, leading to urgent scientific efforts in understanding transmission mechanisms and mitigating risks, especially in healthcare settings. This mixed-methods study examines knowledge advancement regarding indoor air quality in healthcare facilities during the pandemic. A systematic literature review of 163 post-COVID studies identifies key research thrusts and 31 recommendations related to building ventilation, air filtration, surface disinfection, and monitoring. Comparison with over 200 pre-pandemic publications reveals both reliance on established infection control principles and unique contributions, such as detecting viral RNA in air and surface samples indicating potential airborne and fomite …

Evaluating How Well Active Fault Mapping Predicts Earthquake Surface-Rupture Locations, Chelsea Scott, Ramon Arrowsmith, Rachel Adam, Christopher Madugo, Joseph Powell, John Ford, Brian Gray, Ashley Streig, Multiple Additional Authors

Geology Faculty Publications and Presentations

Earthquake surface-fault rupture location uncertainty is a key factor in fault displacement hazard analysis and informs hazard and risk mitigation strategies. Geologists often predict future rupture locations from fault mapping based on the geomorphology interpreted from remote-sensing data sets. However, surface processes can obscure fault location, fault traces may be mapped in error, and a future rupture may not break every fault trace. We assessed how well geomorphology-based fault mapping predicted surface ruptures for seven earthquakes: 1983 M 6.9 Borah Peak, 2004 M 6.0 Parkfield, 2010 M 7.2 El Mayor–Cucapah, 2011 M 6.7 Fukushima-Hamadori, 2014 M 6.0 South Napa, 2016 …

Aerosol Mutagenicity In San Bernardino, California Via Bacterial Fluctuation Tests, Sean Murphy

Electronic Theses, Projects, and Dissertations

San Bernardino, California’s poor air quality is a health risk to its population with some of the highest concentrations of ozone and aerosol in the United States. Aerosols are solid or liquid particles suspended in the air. Smaller aerosol particles are the most harmful as they are more likely to penetrate further into the respiratory system. These aerosols can cause respiratory issues and contain toxic compounds. One measure of aerosol toxicity is to study the mutagenicity of the aerosol. To study the mutagenicity of aerosol samples collected in San Bernardino in 2022, fluctuation tests (based on the Ames test for …

Geospatial Wildfire Risk Prediction Using Deep Learning, Abner Alberto Benavides

Electronic Theses, Projects, and Dissertations

This report introduces a thorough analysis of wildfire prediction using satellite imagery by applying deep learning techniques. To find wildfire-prone geographical data, we use U-Net, a convolutional neural network known for its effectiveness in biomedical image segmentation. The input to the model is the Sentinel-2 multispectral images to supply a complete view of the terrain features.

We evaluated the wildfire risk prediction model’s performance using several metrics. The model showed high accuracy, with a weighted average F1 score of 0.91 and an AUC-ROC score of 0.972. These results suggest that the model is exceptionally good at predicting the location of …

Current Vehicle Fleet Inventory And Future Implementation Of A Centralized Electric Fleet At Portland State University, Dane Kovaleski

Environmental Science and Management Professional Master's Project Reports

As the effects of climate change continue to impact the world, many institutions have developed climate action goals to reduce their effects on the environment. Portland State University (PSU) has committed to an 80% reduction of greenhouse gas emissions by 2030 and carbon neutrality by 2040. A part of this commitment must include looking at the contributions of transportation on campus to reduce carbon emissions. According to a greenhouse gas emissions report done by the Campus Planning and Sustainability Office in 2016, transportation contributed to 12% of total greenhouse gas emissions on campus.

This project aims to evaluate the management …

Joint Flood Risks In The Grand River Watershed, Poornima Unnikrishnan, Kumaraswamy Ponnambalam, Nirupama Agrawal, Fakhri Karray

Machine Learning Faculty Publications

According to the World Meteorological Organization, since 2000, there has been an increase in global flood-related disasters by 134 percent compared to the previous decades. Efficient flood risk management strategies necessitate a holistic approach to evaluating flood vulnerabilities and risks. Catastrophic losses can occur when the peak flow values in the rivers in a basin coincide. Therefore, estimating the joint flood risks in a region is vital, especially when frequent occurrences of extreme events are experienced. This study focuses on estimating the joint flood risks due to river flow extremes in the Grand River watershed in Canada. For this purpose, …

Phantom Shootings, Allan Ambris

Dissertations, Theses, and Capstone Projects

This capstone is a website designed to critique NYC Open Data reporting with respect to shootings through a series of visualizations and discoveries. The NYPD Shooting Incidents datasets (Historic and Year to Date) introduce themselves to the user by claiming to be a “list of every shooting incident that occurred in NYC.” The supplied documentation reveals that this is not the case.

After understanding the supporting materials, there are still undisclosed truths. My exploration of the data revealed that a single victim may be represented across multiple entries. Additionally, multiple victims may be represented by a single entry. It is …

Two Rapid Power Iterative Doa Estimators For Uav Emitter Using Massive/Ultra-Massive Receive Array, Yiwen Chen, Qijuan Jie, Yiqiao Zhang, Feng Shu, Xichao Zhan, Shihao Yan, Wenlong Cai, Xuehui Wang, Zhongwen Sun, Peng Zhang, Peng Chen

Research outputs 2022 to 2026

To provide rapid direction finding (DF) for unmanned aerial vehicle (UAV) emitters in future wireless networks, a low-complexity direction of arrival (DOA) estimation architecture for massive multiple-input multiple-output (MIMO) receiver arrays is constructed. In this paper, we propose two strategies to address the extremely high complexity caused by eigenvalue decomposition of the received signal covariance matrix. Firstly, a rapid power iterative rotational invariance (RPI-RI) method is proposed, which adopts the signal subspace generated by power iteration to obtain the final direction estimation through rotational invariance between subarrays. RPI-RI causes a significant complexity reduction at the cost of a substantial performance …

Weird Winter Weather In The Anthropocene: How Volatile Temperatures Shape Violent Crime, Christopher Thomas, Kevin T. Wolff

Publications and Research

Purpose: Current evidence suggests volatile temperatures are becoming more common because of climate change and can be expected to become even more frequent in the future. By focusing on recent temperature variability, we attempt to estimate one important dimension of the impact of climate change on violent crime. We also explore whether sudden upward temperature anomalies have stronger positive impacts on violent crime in the coldest months of the year, as routine activities are likely to change more drastically during this period.

Methods: This study explores the association between sudden temperature anomalies (both upward and downward) and the daily incidence …

The Role Of The Armed Forces Of The Philippines (Afp) In Disaster Response And Adaptation Strategies To Climatic Disasters In Manila, Edmundo Nicolas Jr.

Geography Masters Research Papers

This study described the roles of the Armed Forces of the Philippines (AFP) in Disaster Risk Reduction Management (DRRM) in Metro Manila and how climate-induced hazards impact the role of the military. It used a qualitative approach, which involved semi- structured interviews among AFP officers and barangay leaders with expertise and experience in DRRM and an analysis of selected policy documents and military doctrine. These methods revealed that: (1) the military acts as a political first-aid, since they are the first responders – thus, the face of the local government – in climactic disasters during peacetime; (2) the military is …