Digital Commons Network^™

Anomalous Event Detection And Localization Based On Deep Generative Adversarial Networks For Surveillance Videos, Thittaporn Ganokratanaa

Chulalongkorn University Theses and Dissertations (Chula ETD)

Anomaly detection is of great significance for intelligent surveillance videos. Current works typically struggle with object detection and localization problems due to crowded scenes and lack of sufficient prior information of the objects of interest during training, resulting in false-positive detection results. Thus, in this thesis, we propose two novel frameworks for video anomaly detection and localization. We first propose a Deep Spatiotemporal Translation Network (DSTN), a novel unsupervised anomaly detection and localization method based on Generative Adversarial Network (GAN) and Edge Wrapping (EW). In this work, we introduce (i) a novel fusion of background removal and real optical flow …

Potential Benefits From Practices In Construction Waste Material Controls, Abdulaziz Alwadhenani

Graduate Theses, Dissertations, and Problem Reports (ETD)

Construction waste is generated from the various construction activities of building, maintaining, renovating, and demolishing infrastructure facilities. These materials include, but are not limited to, concrete, rubble, fiberglass, asphalt, bricks, wood, and scrap metals. In the last few decades, there has been a significant increase in the volume of construction and demolition (C&D) waste materials in the United States (U.S.). Between 1990 and 2017, the total increase in debris generation has surpassed 320%. According to U.S. solid waste management statistics, more than 50% of C&D waste has been and continues to be transported to landfills. The disposal of C&D waste …

Green Completion As A Mitigation For Btex Exposure In Gas Flaring: Nigeria Case Study (Exposure Assessment And Cost Model), Akintunde S. Akinyemi

Graduate Theses, Dissertations, and Problem Reports (ETD)

Gas flaring is an essential part of the oil and gas industry safety and waste management procedures; however, it presents a potential exposure to BTEX compounds, a group of Non-Methane Volatile Organic Compounds (NMVOC), within up to a 10-mile radius of the flare point. The physical and the psychological cost of the journey to work, make employees live close to the workplace. This study examined the perceived exposure of oil and gas industry workers to possible carcinogenic emissions outside the workplace. It looked at the outcomes of the exposure to BTEX through gas flaring drawing on archival data and using …

Social Science Considerations For Integrating Aviation Technology, Emergency Services, And Human Resilience, Chelsea A. Lenoble, Joel M. Billings, Janel M. Ingraham, Ray H. Chang, Allison A. Kwesell

Journal of Aviation/Aerospace Education & Research

Unmanned aerial systems (UAS) have a range of innovative applications within the field of disaster management, underscoring the potential to enhance human security by integrating UAS across phases of disasters. This paper highlights important social science challenges that must be addressed to ensure the effective integration of UAS, the complex team of teams that respond to disasters, and the populations affected by disasters. Expanding upon points of intersection between UAS capabilities and disaster management identified in recent research, UAS uses in disaster management and corresponding psychosocial considerations are discussed. Broadly, these considerations focus on the training and development of the …

Modeling A Nuclear Research Reactor And Radiation Dose Estimation In An Accident Scenario, Abdulaleem Abdulmajeed Bugis

Doctoral Dissertations

“A detailed, flexible three-dimensional (3D) model of the Missouri S&T Reactor (MSTR) with a heterogeneous core geometry was developed using the Standardized Computer Analyses for Licensing Evaluation (SCALE). A Graphical User Interface (GUI) was developed for SCALE, which allows the user to generate an input file automatically. The SCALE model was validated with a Monte Carlo N-Particle Transport (MCNP) model of the MSTR. The validation process was based on the criticality calculations using the Criticality Safety Analysis Sequence (CSAS6). Three geometrical models were examined. The SCALE model that has the full detailed geometry showed a good agreement with the MCNP …

Optimization Of Home Mortgage Mover Predictive Model Applying Geo-Spatial Analysis And Machine Learning Techniques, Natalia Riscovaia

Dissertations

In the last decade digital innovations and online banking services have significantly changed customers banking preferences and behaviour. Banking industry is going through the changes and developments in the provision of banking services that are affecting the structure and the organization of the bank network. However, private home loan, referred as Home Mortgage hereinafter, continue to remain among the products, that customers prefer to have personal interaction about with professional advisors prior making the decision to apply for the loan with financial institution.

Exploring The Curricular Content Of Engineering Ethics Education In Ireland, Diana Adela Martin, Eddie Conlon, Brian Bowe

Conference papers

Our contribution aims to determine the main curricular themes employed in engineering ethics instruction. In the use of the term `curricular content", the study is guided by an understanding of curriculum in terms of the syllabus content of a specific discipline or set of units taught to students. The research study has been conducted in cooperation with the national accrediting body Engineers Ireland and includes 23 Engineering programmes from 6 institutions in Ireland that underwent accreditation between 2017-2019. The research method employed is a documentary analysis of the materials prepared by the programmes for accreditation or made available on the …

Human-Infrastructure Interfaces (Hii) Enabled Using Augmented Reality (Ar), Dilendra Maharjan

Civil Engineering ETDs

The modern industrial society is built upon the productivity of advanced computing and agile machines assisting the human workforce to perform their tasks more effectively, accurately and efficiently. The industrial revolution termed as "Industry 4.0" is based on the intelligence of machines working with humans in a collaborative work-space. Contrarily, infrastructure management has relied on the human for making day to day decisions. New emerging technologies can assist during infrastructure inspections, to quantify structural condition with more objective data. However, today's’ owners agree in trusting the inspector's decision in the field over data collected with sensors. If data collected in …

Galena Creek Bridge Structural Health Monitoring Instrumentation And Modeling, Leopold Falkensammer

UNLV Theses, Dissertations, Professional Papers, and Capstones

Structural health monitoring (SHM) of an instrumented structure provides numerous benefits when assessing the long-term condition of the structure against degradation, or the short-term condition after an extreme event, such as an earthquake. The Nevada Department of Transportation (NDOT) has an interest in expanding the use of SHM for such assessments. Accordingly, the objective of the current study is to develop and implement a permanent SHM system for the Galena Creek Bridge, the largest concrete cathedral arch bridge in the world, to monitor its response to routine traffic and seismic activity. Completed in 2012, the bridge connects Reno and Carson …

Research On Source Seeking Methods Of Harmful Gas Leakage In Chemical Industry Parks, Zhao Yong, Bin Chen, Xiaodong Wang, Zhengqiu Zhu, Rongxiao Wang, Xiaogang Qiu

Journal of System Simulation

Abstract: Chemical production safety accidents often lead to harmful gas leakage, causing serious environmental damage and casualties. Mastering the information of leaking source quickly can assist in emergency disposal decisions and reduce the harm of accidents. In this paper, Entrotaxis algorithm is used to guide the ground source seeking equipment to move to the vicinity of the leaking source quickly and autonomously in a chemical park scene, and to master the source information. According to the characteristics of the chemical industry park scene, this paper applies intermittent search module into Entrotaxis algorithm and proposes a robust and suitable algorithm (Entrotaxis-Jump …

The Method Summary Of Generating Large-Scale Artificial Population In An Artificial Society, Yuanzheng Ge, Zhichao Song, Rongqing Meng

Journal of System Simulation

Abstract: The generation of large-scale artificial population is the fundamental data of high-resolution agent-based artificial society. By the comparison of typical artificial population models, the basic elements, generating methods, and evolving rules, the development of artificial society, generation of population database, the establishment of spatial-temporal relationship, evolving rules of behavior, and reconstruction of social relationship are analyzed. Furthermore, data-driven method and open interface framework of artificial population are discussed, and the future direction and development are listed.

Machine Learning On Acoustic Signals Applied To High-Speed Bridge Deck Defect Detection, Yao Chou

Theses and Dissertations

Machine learning techniques are being applied to many data-intensive problems because they can accurately provide classification of complex data using appropriate training. Often, the performance of machine learning can exceed the performance of traditional techniques because machine learning can take advantage of higher dimensionality than traditional algorithms. In this work, acoustic data sets taken using a rapid scanning technique on concrete bridge decks provided an opportunity to both apply machine learning algorithms to improve detection performance and also to investigate the ways that training of neural networks can be aided by data augmentation approaches. Early detection and repair can enhance …

Evaluation Of The Structural Performance Of Bridge Mse Retaining Walls, Zaid Sm Momani

Civil Engineering Dissertations - Archive

Mechanically Stabilized Earth (MSE) walls have been used extensively since the first MSE wall constructed in California in the early 70’s. MSE walls proved that they are reliable, cost-effective, aesthetically pleasing, and easily constructible. However, the design criteria of an MSE wall does not always incorporate the comprehensive behavior. A reasonable number of MSE walls do not perform as expected; a few experienced catastrophic failure. The current study was inspired by multiple MSE walls showing excessive movement of the precast panels in Fort Worth and Hurst, Texas. Three most critical MSE walls were selected for this study. The main focus …

Fractional Order State Feedback Control For Improved Lateral Stability Of Semi-Autonomous Commercial Heavy Vehicles, Rasheed Mazen Abdulkader

Graduate Theses and Dissertations

With the growing development of autonomous and semi-autonomous large commercial heavy vehicles, the lateral stability control of articulated vehicles have caught the attention of researchers recently. Active vehicle front steering (AFS) can enhance the handling performance and stability of articulated vehicles for an emergency highway maneuver scenario. However, with large vehicles such tractor-trailers, the system becomes more complex to control and there is an increased occurrence of instabilities. This research investigates a new control scheme based on fractional calculus as a technique that ensures lateral stability of articulated large heavy vehicles during evasive highway maneuvering scenarios. The control method is …

Condition Assessment Of Bridge Decks With Asphalt Overlay, Sepehr Pashoutani, Jinying Zhu

Nebraska Department of Transportation: Research Reports

Ground penetrating RADAR (GPR) is a widely used nondestructive testing (NDT) method for bridge deck evaluation. However, the current GPR signal and data processing software and algorithms are not able to provide comprehensive information about bridge deck condition. Although the original objective of this research project was to develop GPR analysis algorithms for condition assessment of bridge decks with asphalt overlay, the scope of work has been expanded to concrete bridge decks with or without overlays.

In this study, the research team developed a complete GPR analysis procedure that includes the following components: 1) obtain zero-time for GPR reflection at …

Involuntary Signal-Based Grounding Of Civilian Unmanned Aerial Systems (Uas) In Civilian Airspace, Keith Conley

Master's Theses

This thesis investigates the involuntary signal-based grounding of civilian unmanned aerial systems (UAS) in unauthorized air spaces. The technique proposed here will forcibly land unauthorized UAS in a given area in such a way that the UAS will not be harmed, and the pilot cannot stop the landing. The technique will not involuntarily ground authorized drones which will be determined prior to the landing. Unauthorized airspaces include military bases, university campuses, areas affected by a natural disaster, and stadiums for public events. This thesis proposes an early prototype of a hardware-based signal based involuntary grounding technique to handle the problem …

Dynamics Considerations Dedicated To Study Bodies In High-Altitude Free Fall, Michelle Carolina Rodriguez

Theses and Dissertations

The objective of this thesis is to develop a simulation model to study the dynamics of a rigid body in free fall. A set of 6 degrees of freedom (DOF) equations is developed to reflect the dynamic and trajectory characteristics over time. The simulation models a body dropped at different altitudes ranging from 30,480 – 39,624 m (100,000 – 130,000 ft). The trajectory of the body is analyzed using a mathematical nonlinear dynamics model. The mathematical model was developed in MATLAB and Simulink which can be modified for different geometries and conditions. The model was validated by testing that the …

E700xd Portable Doppler Radar Energy Systems Analysis, Brandon M. Bailey, Torrey J. Wagner, Jada Williams

Faculty Publications

Occurring in industrialized nations, inexpensive and abundantly available power is routinely taken for granted. However, energy resilience and to a lesser extent price are key concerns when considering potential solutions for disaster response, disaster relief, or military operations. The Department of Defense (DoD) currently uses a 5 kW generator to power the E700XD portable Doppler radar system when grid power is unavailable [1]. While the radar has an approximate power consumption of 2.5 kW, there is a potential for higher demand due to weather conditions [2]. This paper examines the cost of operating a currently installed generator, compared to the …

Artificial Intelligence Empowered Uavs Data Offloading In Mobile Edge Computing, Nicholas Alexander Kemp

Electrical and Computer Engineering ETDs

The advances introduced by Unmanned Aerial Vehicles (UAVs) are manifold and have paved the path for the full integration of UAVs, as intelligent objects, into the Internet of Things (IoT). This paper brings artificial intelligence into the UAVs data offloading process in a multi-server Mobile Edge Computing (MEC) environment, by adopting principles and concepts from game theory and reinforcement learning. Initially, the autonomous MEC server selection for partial data offloading is performed by the UAVs, based on the theory of the stochastic learning automata. A non-cooperative game among the UAVs is then formulated to determine the UAVs' data to be …

Seeing A Better World From Space, Carly Sakumura

Purdue GIS Day

Understanding change is essential to addressing our most pressing global challenges. Organizations need actionable insight to make critical decisions that affect communities, economies, and national security. As a global leader of advanced geospatial and space-based technology solutions, Maxar has an unprecedented ability to observe, analyze, and monitor these global changes. In this talk, I’ll discuss the cutting-edge research, technological capabilities, and imagery products and analytics we develop at Maxar to unlock the power of geospatial data to understand and navigate our changing world.

Stressmon: Scalable Detection Of Perceived Stress And Depression Using Passive Sensing Of Changes In Work Routines And Group Interactions, Nur Camellia Binte Zakaria, Rajesh Balan, Youngki Lee

Research Collection School Of Computing and Information Systems

Stress and depression are a common affliction in all walks of life. When left unmanaged, stress can inhibit productivity or cause depression. Depression can occur independently of stress. There has been a sharp rise in mobile health initiatives to monitor stress and depression. However, these initiatives usually require users to install dedicated apps or multiple sensors, making such solutions hard to scale. Moreover, they emphasise sensing individual factors and overlook social interactions, which plays a significant role in influencing stress and depression while being a part of a social system. We present StressMon, a stress and depression detection system that …

Satisfaction-Aware Data Offloading In Surveillance Systems, Marcos Paul Torres

Electrical and Computer Engineering ETDs

In this thesis, exploiting Fully Autonomous Aerial Systems' (FAAS) and Mobile Edge Computing (MEC) servers' computing capabilities to introduce a novel data offloading framework to support the energy and time-efficient video processing in surveillance systems based on satisfaction games. A surveillance system is introduced consisting of Areas of Interest (AoIs), where a MEC server is associated with each AoI, and a FAAS is flying above the AoIs to support the IP cameras' computing demands. Each IP camera adopts a utility function capturing its Quality of Service (QoS) considering the experienced time and energy overhead to offload and process remotely or …

Block Form Of Kalman Filter In Processing Images With Low Resolution, Avazbek Marakhimov, Lyudmila Varlamova

Chemical Technology, Control and Management

The article discusses the issues of preliminary processing and image filtering. One of the problems with image preprocessing is the presence of blurring and noise. The problem of highlighting the background of a moving object. Next, consider the problem of constructing a Kalman filter of block type. When using the Kalman filter to solve the adaptive filtering problem, the monitored process is the vector of optimal filter coefficients. The purpose of applying the Kalman filter is to minimize the variance of the estimate of the vector random process. Noise filtering in the form of a block filter allows to restore …

Mobile Ad Hoc Networks In Transportation Data Collection And Dissemination, Kardigue Konte

Theses and Dissertations

The field of transportation is rapidly changing with new opportunities for systems solutions and emerging technologies. The global economic impact of congestion and accidents are significant. Improved means are needed to solve them. Combined with the increasing numbers of vehicles on the road, the net economic impact is measured in the many billions of dollars. Promising methodologies explored in this thesis include the use of the Internet of Things (IoT) and Mobile Ad Hoc Networks (MANET). Interconnecting vehicles using Dedicated Short Range Communication technology (DSRC) brings many benefits. Integrating DSRC into roadway vehicles offers the promise of reducing the problems …

Perceptions Of Higher Education In Nonmetropolitan Nebraska: Research Report 19‐4, Rebecca Vogt, Cheryl A. Burkhart-Kriesel, Randolph L. Cantrell, Bradley Lubben, L. J. Mcelravy, Timothy Meyer, Jason L. Weigle

Rural Futures Institute: Publications

Some recent national polls have shown a decline in confidence in higher education. The cited reasons for this decline are concerns about affordability, access and the political culture on campuses. Given these national trends, how do rural Nebraskans view the impacts of their education? Do they view higher education as important for individuals and the economy? Have these views changed over the past four years? What types of higher education institutions have their households attended? This paper provides a detailed analysis of these questions. This report details 1,776 responses to the 2019 Nebraska Rural Poll, the 24th annual effort to …

A Framework For Integrating Transportation Into Smart Cities, Susan Shaheen, Adam Cohen, Mark K. Dowd, Richard Davis

Mineta Transportation Institute

In recent years, economic, environmental, and political forces have quickly given rise to “Smart Cities” -- an array of strategies that can transform transportation in cities. Using a multi-method approach to research and develop a framework for smart cities, this study provides a framework that can be employed to:

1. Understand what a smart city is and how to replicate smart city successes;
2. The role of pilot projects, metrics, and evaluations to test, implement, and replicate strategies; and
3. Understand the role of shared micromobility, big data, and other key issues impacting communities.

This research provides recommendations for policy and professional practice …

Systems Approach To Evaluating Mih-Cp (Mobile Integrated Healthcare – Community Paramedicine): A Case Study Of East Baton Rouge Parish (Ebrp) Emergency Medical Services (Ems) Community Paramedicine Program Initiative, Oluwakemi Aiyedun

LSU Doctoral Dissertations

This study applied a holistic method of healthcare program assessment, known as systems approach, to evaluate the efficacy of the East Baton Rouge Parish (EBRP) EMS Community-integrated Health Program (CIHP). The author developed assessment metrics following the Quadruple Aim Framework: IHI (Institute for Healthcare Improvement) Triple Aim + Provider Experience.

Results showed that the CP program in this study delivers high ratings on patient experience and provided a 51% return on investment (ROI) through reduced emergency service utilization, ED visits and inpatient hospital admissions. However, findings did not demonstrate meaningful improvement in patients’ health-related quality of life (HRQoL) and self-efficacy …

Global Sustainability, Fall/Winter 2005, Issue 11

Sustain Magazine

No abstract provided.

Trends In Well-Being In Nonmetropolitan Nebraska: Nebraska Rural Poll Research Report 19-3, Rebecca Vogt, Cheryl Burkhart-Kriesel, Randolph Cantrell, Bradley Lubben, Timothy Meyer, Jason L. Weigle

Rural Futures Institute: Publications

Nebraska’s economy remained strong in the beginning of 2019. However, the continued weakness of the agriculture sector had the possibility of hampering the state’s economic growth. In addition, the March flooding had the potential for negative economic effects. Given these challenges, how do rural Nebraskans feel about their community? Are they satisfied with the services provided by their community? How do rural Nebraskans believe they are doing and how do they view their future? How satisfied are they with various items that influence their well-being? Have these views changed over the past 24 years? This paper provides a detailed analysis …

Competency Based Education: A Framework For A More Efficient And Safer Aviation Industry, Flavio A. C. Mendonca Ph.D., Julius Keller Ph.D., Brian G. Dillman Ph.D.

Publications

Aircraft design and reliability as well as pilots’ education and training have steadily and significantly improved in the last 20 years. Nevertheless, high-profile accidents still occur, even when the aircraft and related systems are operating adequately. Controlled flight into terrain, runway incursions accidents, and loss-of-control-in-flight are examples of mishaps in which inadequate decision-making, poor leadership, and ineffective communication are frequently cited as contributing factors. Conversely, the investigation of accidents (e.g., US Airways Flight 1549, in US, in 01/15/2009) and serious incidents (e.g., JJ 3756, in Brazil, in 06/17/2011) have indicated that flight crews have to be flexible and adaptable, think …