Engineering Commons^™

Development Of Mitochondrial-Targeted Genetic Tools To Investigate How Changes In Mitochondrial Function Affect The Heart, Patrick James Ernst

All ETDs from UAB

Mitochondria are an important organelle found in all human cells, they fulfill several crucial roles necessary for cellular function such as energy production, calcium handling, metabolic regulation, and inducing pre-programmed cell death. Mitochondrial dysfunction is associated with many different diseases such as heart failure, aging, and cancer, as well as multiple neurodegenerative diseases. While there are currently different tools and approaches for studying different aspects of both mitochondrial function and dysfunction, they tend to have major drawbacks that limit their practicality and conclusions that can be drawn using them. We hypothesized that by finding the correct genetic mitochondrial targeting sequence, …

Innovative Applications Of Laser Remote Sensing Of Gases, Aerosols And Wind, Adrian Diaz Fortich

Dissertations and Theses

Over the years, a major component of the research carried out at the Optical Remote Sensing Laboratory of the City College of New York has been on active sensing technologies and their different applications in atmospheric studies. This thesis builds upon and looks to further advance this field by demonstrating innovative applications of laser remote sensing technologies for studies involving trace gases, aerosol particles and wind; which are key components of the Earth’s atmosphere. First, we present the demonstration of gas concentration measurements using a quantum cascade laser open path system with characteristics that make it promising for mobile and/or …

Historical Trends In Air Temperature, Precipitation, And Runoff Of A Plateau Inland River Watershed In North China, Along Zhang, Ruizhong Gao, Xixi Wang, Tingxi Liu, Lijing Fang

Civil & Environmental Engineering Faculty Publications

Understanding historical trends in temperature, precipitation, and runoff is important but incomplete for developing adaptive measures to climate change to sustain fragile ecosystems in cold and arid regions, including the Balagaer River watershed on the Mongolian Plateau of northeast China. The objective of this study was to detect such trends in this watershed from 1959 to 2017. The detection was accomplished using a Mann-Kendall sudden change approach at annual and seasonal time scales. The results indicated that the abrupt changes in temperature preceded that in either runoff or precipitation; these abrupt changes occurred between 1970 and 2004. Significant (α = …

Incremental Cluster Validity Indices For Online Learning Of Hard Partitions: Extensions And Comparative Study, Leonardo Enzo Brito Da Silva, Niklas Max Melton, Donald C. Wunsch

Electrical and Computer Engineering Faculty Research & Creative Works

Validation is one of the most important aspects of clustering, particularly when the user is designing a trustworthy or explainable system. However, most clustering validation approaches require batch calculation. This is an important gap because of the value of clustering in real-time data streaming and other online learning applications. Therefore, interest has grown in providing online alternatives for validation. This paper extends the incremental cluster validity index (iCVI) family by presenting incremental versions of Calinski-Harabasz (iCH), Pakhira-Bandyopadhyay-Maulik (iPBM), WB index (iWB), Silhouette (iSIL), Negentropy Increment (iNI), Representative Cross Information Potential (irCIP), Representative Cross Entropy (irH), and Conn_Index (iConn_Index). This paper …

Measurement Of Sub-2 Nm Stable Clusters During Silane Pyrolysis In A Furnace Aerosol Reactor, Miguel Vazquez-Pufleau, Yang Wang, Pratim Biswas, Elijah Thimsen

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

The initial stages of particle formation are important in several industrial and environmental systems; however, the phenomenon is not completely understood due to the inability to measure cluster size distributions. A high resolution differential mobility analyzer with an electrometer was used to map out the early stages of Si particle formation from pyrolysis of SiH4 in a furnace aerosol reactor. We detected for the first time subnanometer stable clusters from silane pyrolysis, and the diameter was measured to be about 0.7 nm. This diameter is within the range of probable sizes that the reported families of critical silane clusters could …

Relational Sequential Decision Making, Kaushik Roy

Publications

Markov Decision Processes(MDPs) are the standard for sequential decision making. Comprehensive theory and methods have been developed to deal with solving MDPs in the propositional setting. Real world domains however are naturally represented using objects and relationships. To this effect, relational adaptations of algorithms to solve MDPs have been proposed in recent years. This paper presents a study of these techniques both in the model based and model free setting.

Needs Based Assessment Of Agricultural Pilots In The Upper Midwest, Andrew Leonard, Cody Christensen, Jessie Hendricks

International Journal of Aviation, Aeronautics, and Aerospace

The agricultural aviation industry plays an increasingly important role in being able to meet the demands of food production on global level. With a limited ability to increase the amount of land used for food production, farmers will have to find a way to increase yields on current land. Unfortunately, the agricultural aviation industry is at risk of having a shortage of pilots able to operate its aircraft. With the current generation of agricultural pilots reaching retirement, operators are scrambling to find qualified pilots to fill their seats. The majority of operators indicated that when looking for a new pilot …

Managing Safety Risks In Airline Maintenance Outsourcing, Rajee Olaganathan Dr., Mark Miller Dr., Bettina M. Mrusek Dr.

International Journal of Aviation, Aeronautics, and Aerospace

The U.S aviation industry faced severe financial losses after the 9/11 incident. The financial loss that occurred between 2000 and 2009 in the U.S. alone was $54 billion dollars. One of the operational strategies adopted by air carriers to overcome this hurdle was to outsource aircraft maintenance. Initially, this was accomplished in both home and off-shore locations. Unionized labor relations in the US ultimately forced these organizations to outsource to non-unionized labor sources in foreign countries. However, due to the upsurge in accidents and incidents that resulting from maintenance failures, the concept of outsourcing maintenance became a subject of debate …

A Conceptual Framework For Valuating Airline Frequent Flyer Program Miles, Yi Gao

International Journal of Aviation, Aeronautics, and Aerospace

Frequent flyer programs of airlines have gradually evolved into a multi-billion dollar business over the years. Valuing frequent flyer program miles accurately and fairly has its practical implications both for airlines and members of frequent flyer programs. As a ground-breaking academic study dedicated to airline loyalty programs, this study aims to build a conceptual framework to guide the valuation of miles. Through comparing required miles for different award types with their equivalent cash prices, this study has successfully addressed the purchasing power of AAdvantage miles of American Airlines when they are used for award redemption. Not only can this study …

Towards A Hybrid Comfortable Passenger Cabin Interior For The Flying V Aircraft, Peter Vink, Thomas Rotte, Shabila Anjani, Chiara Percuoco, Roelof Vos

International Journal of Aviation, Aeronautics, and Aerospace

The Flying-V is a V-shaped airplane in development, which uses less fuel due its form. Passengers are in the oval cabin in the wing, which asks for an alternative design to the interior. At the same time there is a demand for more comfortable interiors.

80 students were asked to develop interior design ideas for this Flying V concept. A jury of experts selected four aircraft interior concepts and these were developed and a 1:1 scale mockup was made, with a hybrid interior. It included a chaise longue seats, the group space, beds and ‘staggered’ seats for the middle of …

Converting The Aircraft Passenger’S Cabin To An Airship When There Is A Danger Of Crash, Abouzar Bahari

International Journal of Aviation, Aeronautics, and Aerospace

From the beginning of the airplane invention until now, many kinds of airliners have been introduced by different companies to transport the people throughout the world. However, although the manufacturing companies have highly promoted the technical and safety systems of the airliners and made them the safest traveling equipment, there is still a possibility of their failure in the technical and/ or safety systems. The serious faults that may occur in an aircraft during the flight can cause the loss of its control. Improving the aircraft safety to guarantee the security, both bodily and spiritually, is of a high demand. …

Risk - A Multi-Layered Approach, Peter S. Neff

International Journal of Aviation, Aeronautics, and Aerospace

This article discusses the relationship between the mandates to achieve increased operational safety and the application of risk management strategies. That commercial airlines must operate at the highest level of safety is mandated by statute. FAA regulation, 14 CFR part 5, outlines the FAA response to the requirements of ICAO Annex 19, Safety Management, by establishing requirements for certificate holders to develop a Safety Management System with 4 components: (a) Safety Policy; (b) Safety Risk Management; (c) Safety Assurance; and (d) Safety Promotion. Safety is a tangible and intangible element foundational to the successful commercial airline sector. A structured multi-layered …

A Review Of Dji’S Mavic Pro Precision Landing Accuracy, Cody Yoakum, Joseph Cerreta

International Journal of Aviation, Aeronautics, and Aerospace

Precision landing has the potential to increase the accuracy of autonomous landings. Unique applications require specific landing performance; for example, wireless charging loses efficiency with a misalignment of 100mm. Unfortunately, there is no publicly available information for the DJI Mavic Pro’s landing specifications. This research investigated the ability of a Mavic Pro to land at a specified point accurately. The purpose of this research is to determine if precision landings are more accurate than non-precision autonomous landings and if the Mavic Pro is capable of applications such as wireless charging when using precision landings. A total of 128 (64 precision …

Simulation Analysis Of The Effects Of Performance-Based Navigation On Fuel And Block Time Efficiency, Shlok Misra

International Journal of Aviation, Aeronautics, and Aerospace

The commercial aviation industry has been grown steadily in the past decade in terms of the number of flights operated and passengers traveled. The Federal Aviation Administration has introduced several technologies and initiatives under the NextGen Program. Performance-Based Navigation (PBN) is one such technology that is aimed at improving the efficiency of the National Airspace System which will improve system capacity and reduce delays. The airlines operate with restrained resources and investments into reducing fuel costs and flight times will directly or indirectly impact profit margins. PBN procedures and routes can help airlines reduce block times as flights will be …

Efficiency Analysis Of A Congested Brazilian Airport Applying Slots Optimization Control: Congonhas Airport Case, Mariana Franco B. Mendes, Rafael Roco De Araujo, Ana Paula Beck Da Silva Etges, Massoud Bazargan

International Journal of Aviation, Aeronautics, and Aerospace

The current slot allocation mechanism in Brazil, based on the International Air Transport Association (IATA) rules, and its supplementary local regulation The National Civil Aviation Agency (ANAC), displays a few issues and limitations (e.g. slot misuse, allocation inefficiencies). Such issues are particularly present in the case of busy airports that works near their maximum capacity for major parts of the day. This inefficiency problem is generated because of the complexity of slot allocation added to the limited decision support available for the Brazilian system. This study focuses on the implementation of an optimal slot model, based on IATA regulations with …

Significance Of Incorporating Weather Technology Training For Ga Pilots To Curb Fatalities, Rajee Olaganathan Dr, Richard G. Ham Dr.

International Journal of Aviation, Aeronautics, and Aerospace

Weather is considered to be the main threat to aviation safety from the early 1900s. Despite advanced technologies available at present, the weather still poses a risk to the ever-growing aviation industry. This research gives an overview of weather-related accidents with special reference to Part 91 operation in the United States from 1982 and 2017 based on the NTSB database. The analysis shows that 14 CFR Part 91 operations experienced more accidents than Part 121 operations, and weather was a cause or a contributing factor in 35 % of fatal general aviation accidents. The study also identified the main weather …

Analyzing The Threats Of The Failure Of Visual Awareness During A Visual Approach For Transport Category Aircraft, Shlok Misra

International Journal of Aviation, Aeronautics, and Aerospace

The purpose of this study was to evaluate the risk posed by the failure of visual awareness during visual approaches for transport category aircraft. Visual awareness is critical while conducting visual approaches and it is important to study the factors that can limit the capabilities of human beings to maintain visual awareness. Visual approaches expose pilots to multiple and critical visual stimuli that require strong visual awareness for safe operations. The study conducted a detailed analysis of the Flight Safety Foundation accident database to study the reported incidents during visual approaches from 1998-2018. The effect of human factors was studied …

Mini Unmanned Aerial Systems (Uav) - A Review Of The Parameters For Classification Of A Mini Uav., Ramesh Ps, Muruga Lal Jeyan

International Journal of Aviation, Aeronautics, and Aerospace

In the recent years, Mini Unmanned Aerial Vehicle (UAV) has generated a lot of interest both in military and civilian applications. Contemporary innovations have seen the entry of Mini UAV into a wide range of hitherto fore unexplored domains. Advancement in computer systems, miniaturisation of electronics, artificial intelligence and composite materials is propelling the development of Mini UAV. Mini UAV is a class of UAV within the large family of unmanned systems categorised by a set of parameters. However, there are glaring inconsistencies and lack of uniformity in specifying the parameters which define a Mini UAV. The paper explores the …

Aviation Safety Regulations Versus Cns/Atm Systems And Functionalities, Adeyinka Olumuyiwa Osunwusi

International Journal of Aviation, Aeronautics, and Aerospace

The safety, security, efficiency, regularity, and sustainable development of international civil aviation operations revolve around a web of well-defined legal, policy, regulatory and methodological frameworks, which prescribe, inter alia, mandatory, advisory, prescriptive or discretionary requirements in respect of interactivities within the civil aviation community. In relation to this body of legal, policy, regulatory and methodological frameworks, the Convention on International Civil Aviation (otherwise known as the Chicago Convention, 1944) clearly represents the locus classicus. The Chicago Convention, which governs the activities of Contracting States of the International Civil Aviation Organization (ICAO), incorporates 96 Articles and embodies, to date, …

Development Of A Sensor Suite For Atmospheric Boundary Layer Measurement With A Small Multirotor Unmanned Aerial System, Kevin A. Adkins, Christopher J. Swinford, Peter D. Wambolt, Gordon Bease

International Journal of Aviation, Aeronautics, and Aerospace

Small unmanned aerial systems (sUAS) are increasingly being used to conduct atmospheric research. Because of the dynamic nature and inhomogeneity of the atmospheric boundary layer (ABL), the ability of instrumented sUAS to make on-demand 3-dimensional high-resolution spatial measurements of atmospheric parameters makes them particularly suited to ABL investigations. Both fixed-wing and multirotor sUAS have been used for ABL investigations. Most investigations to date have included in-situ measurement of thermodynamic quantities such as temperature, pressure and humidity. When wind has been measured, a variety of strategies have been used. Two of the most popular techniques have been deducing wind from inertial …

Factors Influencing The Emergence Of Suborbital Space Tourism, Brian T. Musselman, Steven Hampton

International Journal of Aviation, Aeronautics, and Aerospace

Suborbital space tourism is becoming a reality. The suborbital space industry is predicted to grow from $340 billion to $1 trillion over the next 20 years. A literature review, conducted on references from 2012 to 2019, identified five factors associated with the development and management of safe and effective suborbital space tourism. This paper summarizes the aspects of demand, ticket cost, motivation and risk, health risk, and policy, and how each influences the development and management of suborbital space toursim.

Image Instance Segmentation: Using The Cirsy System To Identify Small Objects In Low Resolution Images, Orghomisan William Omatsone

Dissertations

The CIRSY system (or Chick Instance Recognition System) is am image processing system developed as part of this research to detect images of chicks in highly-populated images that uses the leading algorithm in instance segmentation tasks, called the Mask R-CNN. It extends on the Faster R-CNN framework used in object detection tasks, and this extension adds a branch to predict the mask of an object along with the bounding box prediction. Mask R-CNN has proven to be effective ininstance segmentation and object de-tection tasks after outperforming all existing models on evaluation of the Microsoft Common Objects in Context (MS COCO) …

Content-Based Filtering Recommendation Approach To Label Irish Legal Judgements, Sandesh Gangadhar

Dissertations

Machine learning approaches are applied across several domains to either simplify or automate tasks which directly result in saved time or cost. Text document labelling is one such task that requires immense human knowledge about the domain and efforts to review, understand and label the documents. The company Stare Decisis summarises legal judgements and labels them as they are made available on Irish public legal source www.courts.ie. This research presents a recommendation-based approach to reduce the time for solicitors at Stare Decisis by reducing many numbers of available labels to pick from to a concentrated few that potentially contains the …

Machine Learning Assisted Gait Analysis For The Determination Of Handedness In Able-Bodied People, Hugh Gallagher

Dissertations

This study has investigated the potential application of machine learning for video analysis, with a view to creating a system which can determine a person’s hand laterality (handedness) from the way that they walk (their gait). To this end, the convolutional neural network model VGG16 underwent transfer learning in order to classify videos under two ‘activities’: “walking left-handed” and “walking right-handed”. This saw varying degrees of success across five transfer learning trained models: Everything – the entire dataset; FiftyFifty – the dataset with enough right-handed samples removed to produce a set with parity between activities; Female – only the female …

An Examination Of The Smote And Other Smote-Based Techniques That Use Synthetic Data To Oversample The Minority Class In The Context Of Credit-Card Fraud Classification, Eduardo Parkinson De Castro

Dissertations

This research project seeks to investigate some of the different sampling techniques that generate and use synthetic data to oversample the minority class as a means of handling the imbalanced distribution between non-fraudulent (majority class) and fraudulent (minority class) classes in a credit-card fraud dataset. The purpose of the research project is to assess the effectiveness of these techniques in the context of fraud detection which is a highly imbalanced and cost-sensitive dataset. Machine learning tasks that require learning from datasets that are highly unbalanced have difficulty learning since many of the traditional learning algorithms are not designed to cope …

Transformer Neural Networks For Automated Story Generation, Kemal Araz

Dissertations

Towards the last two-decade Artificial Intelligence (AI) proved its use on tasks such as image recognition, natural language processing, automated driving. As discussed in the Moore’s law the computational power increased rapidly over the few decades (Moore, 1965) and made it possible to use the techniques which were computationally expensive. These techniques include Deep Learning (DL) changed the field of AI and outperformed other models in a lot of fields some of which mentioned above. However, in natural language generation especially for creative tasks that needs the artificial intelligent models to have not only a precise understanding of the given …

Identifying Online Sexual Predators Using Support Vector Machine, Yifan Li

Dissertations

A two-stage classification model is built in the research for online sexual predator identification. The first stage identifies the suspicious conversations that have predator participants. The second stage identifies the predators in suspicious conversations. Support vector machines are used with word and character n-grams, combined with behavioural features of the authors to train the final classifier. The unbalanced dataset is downsampled to test the performance of re-balancing an unbalanced dataset. An age group classification model is also constructed to test the feasibility of extracting the age profile of the authors, which can be used as features for classifier training. The …

Detection Of Pathological Hfo Using Supervised Machine Learning And Ieeg Data, Isabel L. Sicardi Rosell

Dissertations

Epilepsy is the second most common neurological disorder and it affects approxi mately 50 million people worldwide. One of the main characteristics of this disorder is the presence of recurrent seizures which tend to be controlled through medication. Nonetheless, 20% of the patients with this disorder are resistant to drug treatment meaning that they need to go through alternative procedures.

Classification Of Animal Sound Using Convolutional Neural Network, Neha Singh

Dissertations

Recently, labeling of acoustic events has emerged as an active topic covering a wide range of applications. High-level semantic inference can be conducted based on main audioeffects to facilitate various content-based applications for analysis, efficient recovery and content management. This paper proposes a flexible Convolutional neural network-based framework for animal audio classification. The work takes inspiration from various deep neural network developed for multimedia classification recently. The model is driven by the ideology of identifying the animal sound in the audio file by forcing the network to pay attention to core audio effect present in the audio to generate Mel-spectrogram. …

Synthetic Data Generation Using Wasserstein Conditional Gans With Gradient Penalty (Wcgans-Gp), Manhar Singh Walia

Dissertations

With data protection requirements becoming stricter, the data privacy has become increasingly important and more crucial than ever. This has led to restrictions on the availability and dissemination of real-world datasets. Synthetic data offers a viable solution to overcome barriers of data access and sharing. Existing data generation methods require a great deal of user-defined rules, manual interactions and domainspecific knowledge. Moreover, they are not able to balance the trade-off between datausability and privacy. Deep learning based methods like GANs have seen remarkable success in synthesizing images by automatically learning the complicated distributions and patterns of real data. But they …