Digital Commons Network^™

Corrections To ‘‘Glaciernet: A Deep-Learning Approach For Debris-Covered Glacier Mapping’’, Zhiyuan Xie, Umesh K. Haritashya, Vijayan K. Asari, Brennan W. Young, Michael P. Bishop, Jeffrey S. Kargel

Electrical and Computer Engineering Faculty Publications

In the above article [1], Figure 2 was incorrect. Unfortunately, we mixed the color label of "CONV $\to $ BN $\to $ ReLu" and "Unpooling" in the CNN structure section of Figure 2. The color label of "CONV $\to $ BN $\to $ ReLu" should be orange while the color label of "Unpooling" should be green. Also, the word "Decoder" is misspelled. That same figure with the same error is also used for the graphic abstract. The corrected figure is given here. None of the sections in the figure is modified. The only change is in the color label of …

Vicarious Methodologies To Assess And Improve The Quality Of The Optical Remote Sensing Images: A Critical Review, Sakib Kabir

Electronic Theses and Dissertations

Over the past decade, number of optical Earth observing satellites performing remote sensing has increased substantially, dramatically increasing the capability to monitor the Earth. The quantity of remote sensing satellite increase is primarily driven by improved technology, miniaturization of components, reduced manufacturing, and launch cost. These satellites often lack on-board calibrators that a large satellite utilizes to ensure high quality (e.g., radiometric, geometric, spatial quality, etc.) scientific measurement. To address this issue, this work presents “best” vicarious image quality assessment and improvement techniques for those kinds of optical satellites which lacks on-board calibration system. In this article, image quality categories …

Extracting Bus Transit Boarding And Alighting Information Using Smart Card Transaction Data, Zhen Chen, Wei Fan

Journal of Public Transportation

The smart card–based automated fare collection (AFC) technologies provide new opportunities for transportation data collection since smart card data (SCD) contain a significant amount of archived information that can be gathered and leveraged to help estimate public transit origin-destination (OD) matrices. Both boarding and alighting location detection are important particularly when there is no automatic vehicle location (AVL) system or other information in the database. With the analysis of raw data using limited information in this paper, an algorithm for boarding stop identification is presented after the trip direction and boarding cluster identification. Alighting stops are then identified based on …

A Deep Learning Approach For Real-Time Crash Risk Prediction At Urban Arterials, Pei Li

Electronic Theses and Dissertations, 2020-2023

Real-time crash risk prediction aims to predict the crash probabilities within a short time period, it is expected to play a crucial role in the advanced traffic management system. However, most of the existing studies only focused on freeways rather than urban arterials because of the complicated traffic environment of the arterials. This thesis proposes a long short-term memory convolutional neural network (LSTM-CNN) to predict the real-time crash risk at arterials. The advantage of this model is it can benefit from both LSTM and CNN. Specifically, LSTM captures the long-term dependency of the data while CNN extracts the time-invariant features. …

Determinants Of Startup Funding: The Interaction Between Web Attention And Culture, Jie Ren, Viju Raghupathi, Wullianallur Raghupathi

Journal of International Technology and Information Management

Technology empowers entrepreneurs to pursue alternative funding through platforms like crowdfunding. This research explores significant startup funding factors using Crunchbase. Controlling for common factors (acquisition/funding-rounds/IPO), the research uniquely focuses on web attention - the visibility on social media - and its impact on funding. It also examines the moderating influence of startup’s home country culture (individualism/collectivism). Findings show stronger positive impact of web attention on startup funding for collectivist countries. While individualistic investors value personal goals, collectivists value collaborative goals - inclinations that align with crowdfunding behavior. Therefore while increasing web attention, crowdfunding efforts can be targeted towards collectivist countries.

Host-Parasite Interactions: Comparative Analyses Of Population Genomics, Disease-Associated Genomic Regions, And Host Use, Sara Rose Seibert

Browse all Theses and Dissertations

Birds are major vectors and reservoir hosts of pathogens across our globe. Pathogens can be spread through the dispersal and seasonal movements of migratory and resident wild birds. Although biogeographic barriers have the potential to restrict completely or in part gene flow in wild birds, variation in ecological drivers of dispersal likely influences the effectiveness of these barriers amongst different species. This dissertation seeks to enhance our knowledge of Southern Hemisphere waterfowl species’ dispersal, population genomics, and disease ecology using population genomic techniques (double-digest restriction-site associated DNA sequencing (ddRADseq)) and multi-variate statistics. First, we investigated the roles of dispersal behavior …

การพัฒนาระบบติดตามสถานะรถยนต์สำหรับธุรกิจแบ่งปันรถยนต์โดยใช้ช่อง Obd-Ii, สรวิชญ์ สาครินทร์

Chulalongkorn University Theses and Dissertations (Chula ETD)

ในช่วงไม่กี่ปีที่ผ่านมานี้ ธุรกิจแบ่งปันรถเช่าทั่วโลกเติบโตขึ้นอย่างมาก แต่การเช่ารถยนต์นั้นยังมีปัญหาอยู่สองข้อคือความไม่สะดวกต่อการทำสัญญาเช่ารถยนต์และการที่ไม่สามารถติดตามสถานะของรถยนต์ได้ เพื่อที่จะติดตามสถานะของถยนต์ เราต้องการระบบที่สามารถดึงข้อมูลดิบจากรถยนต์ส่งขึ้นสู่คลาวเซิฟเวอร์ในเวลาจริง ในช่วงเวลาเดียวกัน เทคโนโลยีอินเทอร์เน็ตทุกสรรพสิ่งได้ถูกนำไปใช้ในหลายๆอุตสาหกรรมเพื่อเพิ่มศักยภาพในการทำงาน เช่นอุตสาหกรรมการแพทย์ การเกษตร และการขนส่งอัจฉริยะ ดังนั้นธุรกิจแบ่งปันรถเช่านั้นจึงยังมีช่องว่างสำหรับการพัฒนาเพิ่มเติมด้วยเทคโนโลยีนี้เช่นกัน งานวิจัยนี้ได้ทำการพัฒนาอุปกรณ์สำหรับเชื่อมต่อภายในรถยนต์เรียกว่ากล่องโคบอกซ์ อุปกรณ์สามารถดึงข้อมูลที่ต้องการจากรถยนต์และสั่งล้อคหรือปลดล้อคได้ด้วยช่องโอบีดีทู อุปกรณ์สามารถรับสัญญาณตำแหน่งจีพีเอสและส่งข้อมูลที่ต้องการสู่คลาวไฟร์เบสเซิฟเวอร์ได้บนเวลาจริง อย่างไรก็ตาม ระบบติดตามสถานะของรถยนต์นี้สามารถทำงานได้ดีในรถยนต์ Toyota Altis 2016 เท่านั้น ผู้วิจัยจึงมีแผนในการพัฒนาระบบติดตามเพื่อรองรับกับรถยนต์รุ่นต่างๆต่อไปในอนาคต

Applications Of Cloud-Based Quantum Computers With Cognitive Computing Algorithms In Automated, Evidence-Based Virginia Geriatric Healthcare, Henry Childs

AUCTUS: The Journal of Undergraduate Research and Creative Scholarship

Quantum computers have recently headlined IBM’s next generation of products promoting computational evolution. After the successful release of the cloud-streaming quantum computer IBM Watson Q, the company has released projections for future development of quantum devices. Because of the incredible processing power of these machines and the expected integration into everyday life in the near future, what implications can this have in the healthcare field?

I am studying cloud-based quantum computers with natural language processing (NLP) algorithms and patient health record data because I want to understand automated, evidenced-based co-optimized treatment of home-bound geriatric patients in order to help my …

Geographic Variation And Ethnicity In Diabetic Retinopathy Detection Via Deeplearning, Ali Serener, Sertan Serte

Turkish Journal of Electrical Engineering and Computer Sciences

The prevalence of diabetes is on the rise steadily around the globe. Diabetic retinopathy (DR) is a result of damage to the blood vessels in the retina due to diabetes and its fast treatment is crucial for preventing possible blindness. The diagnosis of DR is done mostly using a comprehensive eye exam, where the eye is dilated for better inspection. Analysis by an ophthalmologist is prone to human error and thus automatic and highly accurate detection of DR is preferred for an earlier and better diagnosis. It is important, however, that automatic detection be accurate for all data collected from …

Novel Random Models Of Entity Mobility Models And Performance Analysis Ofrandom Entity Mobility Models, Meti̇n Bi̇lgi̇n

Turkish Journal of Electrical Engineering and Computer Sciences

It has become possible to collect data from geographically large areas with smart devices that are prevalently used today. Sensors that are integrated into smart devices make it possible for these devices to receive and transmit data wirelessly. The most important problem of this model that is known as mobile crowd sensing and that allows inferences on the data obtained from its users is lack of data. The main reason for this problem is the lack of sufficient usage of the sensors on devices by the user. To increase the amount of data collected, while users may be incentivized in …

Estimating Spatiotemporal Focus Of Documents Using Entropy With Pmi, Damla Yaşar, Selma Teki̇r

Turkish Journal of Electrical Engineering and Computer Sciences

Many text documents are spatiotemporal in nature, i.e. contents of a document can be mapped to a specific time period or location. For example, a news article about the French Revolution can be mapped to year 1789 as time and France as place. Identifying this time period and location associated with the document can be useful for various downstream applications such as document reasoning or spatiotemporal information retrieval. In this paper, temporal entropy with pointwise mutual information (PMI) is proposed to estimate the temporal focus of a document. PMI is used to measure the association of words with time expressions. …

Life Cycle Information Models With Parameter Uncertainty Analysis To Facilitate The Use Of Life-Cycle Assessment Outcomes In Pavement Design Decision-Making, Chaitanya Ganesh Bhat

Dissertations, Master's Theses and Master's Reports

The objective of this dissertation is to develop Life Cycle Information Models (LCIMs) to promote consistent and credible communication of potential environmental impacts quantified through Life-Cycle Assessment (LCA) methodology. The introduction of Life Cycle Information Models (LCIMs) will shift the focus of pavement LCA stakeholders to collect reliable foreground data and adapt to consistent background data present within LCIMs. LCA methodology requires significant Life Cycle Inventory (LCI) data to model real world systems and quantify potential environmental impacts. The lack of guidance in ISO standards on consistently compiling LCI data and defining protocols for modeling lowers the reliability of LCA …

Airport Ceos And The Decentralized System Of Airports: A Case Study, Marjan Mazza

Publications

The job of the airport CEO is complex with responsibility for the security and safety of a large and dynamic facility and, yet the FAA does not have regulatory qualification and performance standards for the position. The purpose of this qualitative multi-case study was to explore the primary attributes that could be the leading indicators in the event national standards for the hiring of airport CEOs are pursued at major commercial airports. The guiding conceptual framework of the study was to combine competency with the concept of training and development. Airport CEOs from six airport facilities were interviewed, and an …

Estimating Free-Flow Speed With Lidar And Overhead Imagery, Armin Hadzic

Theses and Dissertations--Computer Science

Understanding free-flow speed is fundamental to transportation engineering in order to improve traffic flow, control, and planning. The free-flow speed of a road segment is the average speed of automobiles unaffected by traffic congestion or delay. Collecting speed data across a state is both expensive and time consuming. Some approaches have been presented to estimate speed using geometric road features for certain types of roads in limited environments. However, estimating speed at state scale for varying landscapes, environments, and road qualities has been relegated to manual engineering and expensive sensor networks. This thesis proposes an automated approach for estimating free-flow …

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 …

Glaciernet: A Deep-Learning Approach For Debris-Covered Glacier Mapping, Zhiyuan Xie, Umesh K. Haritashya, Vijayan K. Asari, Brennan W. Young, Michael P. Bishop, Jeffrey S. Kargel

Electrical and Computer Engineering Faculty Publications

Rising global temperatures over the past decades is directly affecting glacier dynamics. To understand glacier fluctuations and document regional glacier-state trends, glacier-boundary detection is necessary. Debris-covered glacier (DCG) mapping, however, is notoriously difficult using conventional geospatial technology methods. Therefore, in this research for automated DCG mapping, we evaluate the utility of a convolutional neural network (CNN), which is a deep learning feed-forward neural network. The CNN inputs include Landsat satellite images, an Advanced Land Observation Satellite (ALOS) digital elevation model (DEM) and DEM-derived land-surface parameters. Our CNN based deep-learning approach named GlacierNet was designed by appropriately choosing the type, number …

Feasibility Study Of Business Expansion By The Exploitation Through Existhing Strength In A Construction Company, Gornekhun Jarupornpanich

Chulalongkorn University Theses and Dissertations (Chula ETD)

A construction company that is called Company-A in this paper has been facing financial difficulty due to irregular cash flow which makes huge risks to the company. To reduce the risks, this study aims to expand the business to real estate to earn regular inflows in return by the exploitation through existing strength as a construction company to increase a competitive advantage to the extended business. This study is conducted by different sources of literature and data collection including academic papers, and the needed data to do a business strategy of a chosen real estate project, and to run a …

Carbon Emissions Reductions In Last Mile And Grocery Deliveries Utilizing Autonomous Vehicles, Miguel A. Figliozzi

Civil and Environmental Engineering Faculty Publications and Presentations

New driverless air and ground vehicles are being launched and tested to deliver products or services in the areas of retail, groceries, and healthcare. This research focuses on the efficiency of autonomous (driverless) delivery vehicles in terms of vehicle-miles, energy consumption, and carbon emissions. Drones or UAVs, sidewalk autonomous delivery robots (SADRs), and road autonomous delivery robots (RADRs) vehicles carbon emissions are compared against emissions from an electric van (e-van), a conventional internal combustion engine van, and driving to a store utilizing electric and conventional vehicles. The impacts of vehicle capacity, range, and time constraints are analyzed as well as …

Increasing Access To Pv Technology Through Sustainable Racking: A Review Of Existing Literature And Ground Mounted Fixed Tilt Designs, And What Can Be Done Next, Parijata Prabhakara

Dissertations, Master's Theses and Master's Reports

There is a lack of literature on the structural balance of systems (BOS), also called racking, for ground mount, fixed-tilt solar PV systems. Literature that exists discusses mostly rooftop racking and installations, additional wind loading, and weight considerations imposed on roofs, and little guidance is provided in building codes. The lack of peer-reviewed guidance on design requirements for domestic and large-scale application solar PV racking systems leaves most consumers relying on expensive, patented, off-the-shelf hardware. As PV cell technology and module costs have improved, we can start to focus on PV BOS improvements (particularly racking) and move towards sustainable designs …

Geoaware - A Simulation-Based Framework For Synthetic Trajectory Generation From Mobility Patterns, Jameson D. Morgan

Browse all Theses and Dissertations

Recent advances in location acquisition services have resulted in vast amounts of trajectory data; providing valuable insight into human mobility. The field of trajectory data mining has exploded as a result, with literature detailing algorithms for (pre)processing, map matching, pattern mining, and the like. Unfortunately, obtaining trajectory data for the design and evaluation of such algorithms is problematic due to privacy, ethical, dataset size, researcher access, and sampling frequency concerns. Synthetic trajectories provide a solution to such a problem as they are cheap to produce and are derived from a fully controllable generation procedure. Citing deficiencies in modern synthetic trajectory …

An Approach To Cluster And Benchmark Regional Emergency Medical Service Agencies, Swetha Kondapalli

Browse all Theses and Dissertations

Emergency Medical Service (EMS) providers are the first responders for an injured patient on the field. Their assessment of patient injuries and determination of an appropriate hospital play a critical role in patient outcomes. A majority of states in the US have established a state-level governing body (e.g., EMS Division) that is responsible for developing and maintaining a robust EMS system throughout the state. Such divisions develop standards, accredit EMS agencies, oversee the trauma system, and support new initiatives through grants and training. But to do so, these divisions require data to enable them to first understand the similarities between …

Development Of Real-Time Systems For Supporting Collaborations In Distributed Human And Machine Teams, Aishwarya Bositty

Browse all Theses and Dissertations

Real-time distributed systems constitute computing nodes that are connected by a network and coordinate with one another to accomplish a cooperative task, combining the responsiveness, fault-tolerance and geographic independence to support time-constrained collaborative applications, including distributed Human-Machine Teaming. In this thesis research the viability of real-time distributed collaborative technologies is demonstrated through the design, development and validation of prototype systems that support two human-machine teaming scenarios namely, ACE-IMS (Affirmation Cue based Interruption Management Systems) and ReadMI (Real-time Assessment of Dialogue in Motivational Interview). ACE-IMS demonstrates how a combination of AI capabilities and the cloud and mobile computing infrastructure can be …

The Overexploitation Of The Valle De Querétaro Aquifer And Its Impact In Small Peri-Urban Communities, Querétaro, México, Kelsey Kirkland

Dissertations, Master's Theses and Master's Reports

The Valle de Querétaro Aquifer is the only viable local water source satisfying the domestic, agricultural, and industrial water needs of the Querétaro Valley. Severe depletion of the groundwater source has had significant consequences throughout the region, especially in the peri-urban communities of Santo Niño de Praga, Tlacote el Bajo, and La Palma. Historically, residents depended on aquifer-fed freshwater springs (known as Los Tajos) to meet their basic and productive needs. Spring production ceased between 10 and 15 ago and investigating the causes formed the basis of this research.

Analysis of available qualitative and quantitative data was used to identify …

Assessment Of The Needs Of Ict Skills On Employability In Smes: A Vft Approach, Renatus Michael Mushi

Journal of International Technology and Information Management

the globalised economy comes with extra demand of ICT skills among the graduates. This is due to the demand if ICT technicalities in performing a number of basic activities in the workplaces. Majority of studies which concentrate with ICT skills on employability deals with technical enterprises. In non-technical companies such as construction, manufacturing and agriculture, ICT is studied as among the basic skill-set of graduates. However, recently, there has been special demand of graduates with basic ICT knowledge on recruitment processes. This indicates the growing demand of basic ICT skills among a broad range of professions. However, the type of …

A Case Study Of Drone Delivery Reliability For Time-Sensitive Medical Supplies With Stochastic Demand And Meteorological Conditions, Travis B. Glick, Miguel Figliozzi, Avinash Unnikrishnan

Civil and Environmental Engineering Faculty Publications and Presentations

Drones are increasingly being utilized to deliver medical supplies, and the COVID-19 pandemic has accelerated this trend. Drones arrive quickly by taking more direct paths and avoiding ground-based obstructions. However, drones are not completely reliable and may also experience failures and delays. For consumer products, delivery delays are an inconvenience, but for some medical supplies, delays may be fatal. This research focuses on the drone reliability of one particular type of supply and event: automatic defibrillators for out-of-hospital cardiac arrests (OHCA). A modeling framework is developed to analyze drone delivery reliability with stochastic demands and meteorological conditions. Using probability distributions …

Toward Closing The Urban Surface Energy Balance Using Satellite Remote Sensing, Joshua Hrisko

Dissertations and Theses

The energy exchanges at the Earth’s surface are responsible for many of the processes that govern weather, climate, human health, and energy use. This exchange, commonly known as the surface energy balance (SEB), determines the near-surface thermodynamic state by partitioning the available energy into surface fluxes. The net all-wave radiation is often the primary energy source, while the heat storage and sensible and latent heat fluxes account for the majority of energy distributed elsewhere. While the SEB of various natural environments(trees, crops, soils) has been well-observed and modeled, the urban surface energy balance remains elusive. This is due to the …

The Development Of Temperature And Ph Responsive Hydrogels And Membranes For Selective Sorption Of Perfluoroorganics And Nanoparticle Integrated Catalytic Degradation Of Pcb, Anthony Saad

Theses and Dissertations--Chemical and Materials Engineering

The functionalization and use of responsive and catalytic polymeric membranes and materials were explored for contaminant capture and degradation. While membranes have a wide variety of uses across multiple industries, the inclusion of materials that are temperature and pH responsive in the membrane pore domain yields a wide range of applications and possibilities for water treatment. Temperature and pH responsive polymers, as well as controlled nanostructured materials, were synthesized in membrane pores for advanced adsorption-desorption and catalytic treatment of emerging organic contaminants in water. In this study, supported by the NIEHS, poly-N-isopropylacrylamide (PNIPAm) was used as a model thermo-responsive polymer, …

Understanding And Measuring Net Positive Business Strategies, Luke Ruffner Robinson

Graduate Student Theses, Dissertations, & Professional Papers

Despite their attempts to mitigate ecological impacts through sustainability initiatives, businesses are a major cause of the world's ecological problems. Some progressive businesses are attempting to move beyond “net zero” in terms of achieving neutral environmental impacts and instead are now pursuing a goal of net positive. Net positive refers to the idea that business activities could contribute value-added benefits to earth’s ecological systems, for example, by using technologies that sequester and store carbon. However, except for a handful of high-profile corporate case studies, little is known about how companies are developing their strategies to become net positive and …

Cost-Benefit Analysis Of Replacing Lpg Stoves With Induction Stoves In Rural Households Of Kavre District Nepal, Grishma Raj Dahal

Cal Poly Humboldt theses and projects

Nepal imports nearly 260,000 tons of Liquified Petroleum Gas (LPG) and other fossil fuels annually from India. This fuel dependency is one of the main reasons for Nepal’s trade deficit with India. The Government of Nepal has recently started promoting electric induction stoves for cooking as an alternative to LPG. Induction stoves are pollution free at the point of use, and they are meant to reduce Nepal's dependence on LPG.

This study includes a cost-benefit analysis for replacing LPG stoves with induction stoves for households in rural areas of Kavre District, Nepal. The study involved the use of data for …

The Role Of Geospatial Information And Effective Partnerships In The Implementation Of The International Agenda For Sustainable Development, Etta Delores Jackson

Antioch University Dissertations & Theses

The former United Nations Secretary-General Ban Ki-Moon (2014), repeated the core promise in the 1986 UN Declaration on the Right to Development, in which the General Assembly called for an approach guaranteeing meaningful participation of everyone in development and the fair distribution of the benefits of that development. To this end, partnerships are central and can lead to the dignity of the citizens involved as they participate in the development of their own communities. This dissertation research conducted in Manyatta A and B in the Port City of Kisumu, Kenya sought to do just that. The purpose of this study …