Open Access. Powered by Scholars. Published by Universities.®
- Institution
-
- University of Nebraska - Lincoln (8)
- Universidad de La Salle (6)
- California Polytechnic State University, San Luis Obispo (5)
- American University in Cairo (4)
- Central Washington University (4)
-
- Kennesaw State University (4)
- Technological University Dublin (4)
- Florida International University (3)
- Old Dominion University (3)
- University of Arkansas, Fayetteville (3)
- University of Kentucky (3)
- Chapman University (2)
- Embry-Riddle Aeronautical University (2)
- Ministry of Higher and Secondary Specialized Education of the Republic of Uzbekistan (2)
- Southern Methodist University (2)
- Tashkent State Technical University (2)
- The University of Southern Mississippi (2)
- Virginia Commonwealth University (2)
- Bard College (1)
- Bucknell University (1)
- City University of New York (CUNY) (1)
- Colby College (1)
- DePaul University (1)
- Marshall University (1)
- Michigan Technological University (1)
- Mississippi State University (1)
- Munster Technological University (1)
- New Jersey Institute of Technology (1)
- Purdue University (1)
- Rochester Institute of Technology (1)
- Keyword
-
- Machine learning (9)
- Deep Learning (4)
- Machine Learning (4)
- Aplicación móvil (3)
- Artificial intelligence (3)
-
- COVID-19 (3)
- Computer Science (3)
- Game theory (3)
- Technology (3)
- ARIMA (2)
- Abaqus (2)
- Ansys Fluent (2)
- Bioinformatics (2)
- Classification (2)
- Data Mining (2)
- Deep learning (2)
- Engineering (2)
- Library (2)
- Mobile-D (2)
- Modelo 3D (2)
- Museo (2)
- Prediction (2)
- Realidad aumentada (2)
- Unity (2)
- 1.2 COMPUTER AND INFORMATION SCIENCE (1)
- 2.2 ELECTRICAL, ELECTRONIC, INFORMATION ENGINEERING (1)
- <p>Computational fluid dynamics.</p> <p>Fluid dynamics -- Mathematical models.</p> (1)
- ADC-DАC (1)
- AI (1)
- Academic -- UNF -- Engineering; Blockchain (1)
- Publication
-
- Theses and Dissertations (7)
- Master's Theses (6)
- Library Philosophy and Practice (e-journal) (5)
- All Master's Theses (4)
- Articles (4)
-
- Ingeniería en Automatización (4)
- FIU Electronic Theses and Dissertations (3)
- Symposium of Student Scholars (3)
- Chemical Technology, Control and Management (2)
- Civil & Environmental Engineering Faculty Publications (2)
- Computational and Data Sciences (PhD) Dissertations (2)
- Dissertations (2)
- Ingeniería Civil (2)
- Pharmaceutical Sciences Faculty Publications (2)
- Biomedical Engineering Undergraduate Honors Theses (1)
- Bulletin of TUIT: Management and Communication Technologies (1)
- Colby Magazine (1)
- Department of Mathematics: Faculty Publications (1)
- Discovery Undergraduate Interdisciplinary Research Internship (1)
- Dissertations and Theses (1)
- Dissertations, Master's Theses and Master's Reports (1)
- Doctoral Dissertations and Master's Theses (1)
- Electrical Engineering Theses and Dissertations (1)
- Electronic Theses and Dissertations (1)
- Electronic Thesis and Dissertation Repository (1)
- Emerging Writers (1)
- Faculty and Student Publications (1)
- Graduate Theses and Dissertations (1)
- Graduate Theses, Dissertations, and Problem Reports (1)
- Honors Expanded Learning Clubs (1)
- Publication Type
Articles 1 - 30 of 79
Full-Text Articles in Engineering
On Resource-Efficiency And Performance Optimization In Big Data Computing And Networking Using Machine Learning, Wuji Liu
Dissertations
Due to the rapid transition from traditional experiment-based approaches to large-scale, computational intensive simulations, next-generation scientific applications typically involve complex numerical modeling and extreme-scale simulations. Such model-based simulations oftentimes generate colossal amounts of data, which must be transferred over high-performance network (HPN) infrastructures to remote sites and analyzed against experimental or observation data on high-performance computing (HPC) facility. Optimizing the performance of both data transfer in HPN and simulation-based model development on HPC is critical to enabling and accelerating knowledge discovery and scientific innovation. However, such processes generally involve an enormous set of attributes including domain-specific model parameters, network transport …
The Evolution Of The Internet And Social Media: A Literature Review, Charles Alves De Castro, Isobel O'Reilly Dr, Aiden Carthy
The Evolution Of The Internet And Social Media: A Literature Review, Charles Alves De Castro, Isobel O'Reilly Dr, Aiden Carthy
Articles
This article reviews and analyses factors impacting the evolution of the internet, the web, and social media channels, charting historic trends and highlight recent technological developments. The review comprised a deep search using electronic journal databases. Articles were chosen according to specific criteria with a group of 34 papers and books selected for complete reading and deep analysis. The 34 elements were analysed and processed using NVIVO 12 Pro, enabling the creation of dimensions and categories, codes and nodes, identifying the most frequent words, cluster analysis of the terms, and creating a word cloud based on each word's frequency. The …
Numerical Simulation Of A Cryogenic Spray, Neel Kishorkumar Shah
Numerical Simulation Of A Cryogenic Spray, Neel Kishorkumar Shah
Doctoral Dissertations and Master's Theses
Cryogenic sprays have many applications in modern engineering. Cooling of electronic equipment subject to high heat flows, surgical ablation of gastrointestinal mucosae or orbital maneuvering are a few examples of their versatility. However, the atomization of a cryogenic liquid is a complex process. During such an event, aerodynamic effects associated with secondary atomization are further affected by thermodynamic flashing. A better understanding of the characteristics of cryogenic sprays is then necessary to allow for improved design and optimization in applications. The overarching objective of this study is to document such characteristics. The numerical simulation was performed over cryogenic nitrogen spray …
Development Of A Model For Control Of A Flexible Production Sewage System, Shalala Jafarova
Development Of A Model For Control Of A Flexible Production Sewage System, Shalala Jafarova
Scientific-technical journal
This article discusses the development of a production module management model for one area of the technological process. New modeling methods are used for this purpose. Mathematical modeling and research is one of the key issues in the early stages of designing automated and automated systems operating in uncertain or fuzzy environments. Efficient modeling devices are used to solve these problems, taking into account the specific features of the process. The article builds the management model of the production module and obtains the results.
Verification Of Acoustic Dissipation In Two-Phase Dilute Dispersed Flow Models In Computational Fluid Dynamics, Brennan Reeder
Verification Of Acoustic Dissipation In Two-Phase Dilute Dispersed Flow Models In Computational Fluid Dynamics, Brennan Reeder
Theses and Dissertations
With existing numerical models for fluid particle systems in CHEM, the acoustic-particle interactions associated with two-phase dilute dispersed flow can be captured and the particle model can be validated using experimental and analytical data and verified using numerical techniques. The experimental and analytical data come from Zink and Delsasso and provides data for particles of diameters 5 to 15 microns for frequencies between 500Hz to 13600Hz. In the particle number density measurements by Zink and Delsasso there was a 10% estimated error range. Using the fourth order skew symmetric flux in CHEM and the built in Eulerian and Lagrangian particle …
Knowtext: Auto-Generated Knowledge Graphs For Custom Domain Applications, Bojan Bozic, Jayadeep Kumar Sasikumar, Tamara Matthews
Knowtext: Auto-Generated Knowledge Graphs For Custom Domain Applications, Bojan Bozic, Jayadeep Kumar Sasikumar, Tamara Matthews
Articles
While industrial Knowledge Graphs enable information extraction from massive data volumes creating the backbone of the Semantic Web, the specialised, custom designed knowledge graphs focused on enterprise specific information are an emerging trend. We present “KnowText”, an application that performs automatic generation of custom Knowledge Graphs from unstructured text and enables fast information extraction based on graph visualisation and free text query methods designed for non-specialist users. An OWL ontology automatically extracted from text is linked to the knowledge graph and used as a knowledge base. A basic ontological schema is provided including 16 Classes and Data type Properties. The …
Quantum State Estimation And Tracking For Superconducting Processors Using Machine Learning, Shiva Lotfallahzadeh Barzili
Quantum State Estimation And Tracking For Superconducting Processors Using Machine Learning, Shiva Lotfallahzadeh Barzili
Computational and Data Sciences (PhD) Dissertations
Quantum technology has been rapidly growing; in particular, the experiments that have been performed with superconducting qubits and circuit QED have allowed us to explore the light-matter interaction at its most fundamental level. The study of coherent dynamics between two-level systems and resonator modes can provide insight into fundamental aspects of quantum physics, such as how the state of a system evolves while being continuously observed. To study such an evolving quantum system, experimenters need to verify the accuracy of state preparation and control since quantum systems are very fragile and sensitive to environmental disturbance. In this thesis, I look …
Machine-Learning-Based Approach To Decoding Physiological And Neural Signals, Elnaz Lashgari
Machine-Learning-Based Approach To Decoding Physiological And Neural Signals, Elnaz Lashgari
Computational and Data Sciences (PhD) Dissertations
In recent years, machine learning algorithms have been developing rapidly, becoming increasingly powerful tools in decoding physiological and neural signals. The aim of this dissertation is to develop computational tools, and especially machine learning techniques, to identify the most effective methods for feature extraction and classification of these signals. This is particularly challenging due to the highly non-linear, non-stationery, and artifact- and noise-prone nature of these signals.
Among basic human-control tasks, reaching and grasping are ubiquitous in everyday life. I investigated different linear and non-linear dimensionality reduction techniques for feature extraction and classification of electromyography (EMG) during a reach-grasp-lift task. …
One Step At A Time: Robotics Lab Team Combines Talents In Quest For The Perfect Synthetic Tendon, Laura Meader
One Step At A Time: Robotics Lab Team Combines Talents In Quest For The Perfect Synthetic Tendon, Laura Meader
Colby Magazine
When Caitrin Eaton arrived at Colby a year ago, she named her new robotics lab C3PO. The name grabs students’ attention, but they’re drawn to the lab for another reason: Eaton’s cutting-edge research unites engineering and animal physiology to help robots walk more smoothly than Hollywood’s stiff-legged C-3PO robot.
Rces: Rapid Cues Exploratory Search Using Taxonomies For Covid-19, Wei Li, Rishi Choudhary, Arjumand Younus, Bruno Ohana, Nicole Baker, Brendan Leen, Muhammad Atif Qureshi
Rces: Rapid Cues Exploratory Search Using Taxonomies For Covid-19, Wei Li, Rishi Choudhary, Arjumand Younus, Bruno Ohana, Nicole Baker, Brendan Leen, Muhammad Atif Qureshi
Articles
To assist the COVID-19 focused researchers in life science and healthcare in understanding the pandemic, we present an exploratory information retrieval system called RCES. The system employs a previously developed EVE (Explainable Vector-based Embedding) model using DBpedia and an adopted model using MeSH taxonomies to exploit concept relations related to COVID-19. Various expansion methods are also developed, along with explanations and facets that collectively form rapid cues for a valuable navigational and informed user experience.
Integrating Compound Flood Conditions Through 2d Hydraulic Modeling For Simulating Flood Risk Processes In Coastal Cities, Francisco Pena Guerra Mr.
Integrating Compound Flood Conditions Through 2d Hydraulic Modeling For Simulating Flood Risk Processes In Coastal Cities, Francisco Pena Guerra Mr.
FIU Electronic Theses and Dissertations
Low elevation coastal karst environments are highly vulnerable to flooding conditions due to climate change. Trends in rising global temperatures have increased the frequency and intensity of extreme precipitation, hydrometeorological phenomena and sea level rise, exacerbating the impact of pluvial, fluvial, coastal and groundwater flood hazards. Compound flooding events amplify flood hazards and pose a higher threat to residents and infrastructure in unison compared to independent phenomena. Recent advancements in coupling hydrologic and hydraulic modeling frameworks have improved our ability to account for the combined effects of extreme pluvial, fluvial, and coastal flood hazards. This innovation in the hydroinformatics field …
Security And Privacy Analysis Of Wearable Health Device, Abm Kamrul Islam Riad
Security And Privacy Analysis Of Wearable Health Device, Abm Kamrul Islam Riad
Symposium of Student Scholars
Wearable technology allows for consumers to record their healthcare data for either personal or clinical use via portable devices. As advancements in this technology continue to rise, the use of these devices has become more widespread. In this paper, we examine the significant security and privacy features of three health tracker devices: Fitbit, Jawbone and Google Glass. We also analyze the devices' strength and how the devices communicate via its Bluetooth pairing process with mobile devices. We explore possible malicious attacks through Bluetooth networking. The outcomes of this analysis illustrate how these devices allow third parties to access sensitive information, …
Motion Detection On A Frequency Jumping Rfid Signal Using Machine Learning, Trevor Stanca
Motion Detection On A Frequency Jumping Rfid Signal Using Machine Learning, Trevor Stanca
Symposium of Student Scholars
Radio Frequency IDentification (RFID) is a well-known technology in wireless communication. It is hypothesized that the capabilities of RFID can be extended by reading an ID number and detecting movement around the reader during the read. Following regulatory standards, this study presents the foundation for a software defined RFID reader that may simultaneously detects and classifies the type of movement during the interrogation operation. A frequency hopping signal in unlicensed 5.8GHz can be analyzed using machine learning to extract a Doppler profile. We effectively collect information about an object through RFID by potentially detecting the speed of the object or …
Source Localization Of Electroencephalogram (Eeg) Waves With Convolutional Neural Network, Terence Onyewuenyi
Source Localization Of Electroencephalogram (Eeg) Waves With Convolutional Neural Network, Terence Onyewuenyi
Symposium of Student Scholars
This paper investigates the use of deep learning as a means for quantification and source localization of prioritizing electroencephalogram (EEG) waves for the purpose of detecting different eye states of human subjects. The Convolutional Deep Learning tool is trained to recognize EEG reading corresponding to a set of different eye movements as generated by watching different action scenes. The results also predict whether the subjects' eyes are open or closed. Source localization is performed next on the EEG data to focus on the different EEG components which primarily contribute to the activity. This was done by using a convolutional neural …
Generative Learning In Smart Grid, Samer M. El Kababji
Generative Learning In Smart Grid, Samer M. El Kababji
Electronic Thesis and Dissertation Repository
If a smart grid is to be described in one word, that word would be ’connectivity’. While electricity production and consumption still depend on a limited number of physical connections, exchanging data is growing enormously. Customers, utilities, sensors, and markets are all different sources of data that are exchanged in a ubiquitous digital setup. To deal with data complexity, many researchers recently focused on machine learning (ML) applications in smart grids. Much of the success in ML is attributed to discriminative learning where models define boundaries to categorize data. Generative learning, however, reveals how data is generated by learning the …
Robust Data Submission Pipeline For Agmip Global Economics Modelers, Raziq Ramli
Robust Data Submission Pipeline For Agmip Global Economics Modelers, Raziq Ramli
Discovery Undergraduate Interdisciplinary Research Internship
Agricultural Model Intercomparison and Improvement Project (AgMIP) is an international effort to improve agricultural models and scientific and technological capabilities for assessing the impacts of climate variability and other driving factors on agriculture, food security, and poverty. The Global Economics (GlobalEcon) team in AgMIP conducts extensive model intercomparison to assess the agricultural effects of climate change, bioenergy policies, and socioeconomic factors. Currently, the preparation and sharing of GlobalEcon model data are done manually, which is time-consuming and error-prone. This project aims to address this problem by designing a robust data submission pipeline capable of harmonizing data from diverse modeling groups …
Innovative Computational Methods For Pharmaceutical Problem Solving A Review Part I: The Drug Development Process, Heather R. Campbell, Robert A. Lodder
Innovative Computational Methods For Pharmaceutical Problem Solving A Review Part I: The Drug Development Process, Heather R. Campbell, Robert A. Lodder
Pharmaceutical Sciences Faculty Publications
Computational methods have provided pharmaceutical scientists and engineers a means to go beyond what's possible with experimental testing alone. Providing a means to study active pharmaceutical ingredients (API), excipients, and drug interactions at or near-atomic levels. This paper provides a review of this and other innovative computational methods used for solving pharmaceutical problems throughout the drug development process. Part one of two this paper will emphasize the role of computational methods and game theory in solving pharmaceutical challenges.
Innovative Computational Methods For Pharmaceutical Problem Solving A Review Part Ii: Serious Gaming, Heather R. Campbell, Robert A. Lodder
Innovative Computational Methods For Pharmaceutical Problem Solving A Review Part Ii: Serious Gaming, Heather R. Campbell, Robert A. Lodder
Pharmaceutical Sciences Faculty Publications
Serious gaming has begun to take a foothold in pharmaceutical problem-solving. Companies such as Akili's Interactive are seeing success in the form of positive clinical trial results and FDA approval of digital therapeutics. Academic researchers have begun exploring novel uses for serious gaming in the way of protein design and more with promising results. This paper provides a review of such topics in addition to topics of game repurposing- repurposing a game originally intended for entertainment into a serious game-such as Minecraft and America's Army. Reviewing these topics this paper shows the utility of serious gaming as a tool for …
Ensemble Data Fitting For Bathymetric Models Informed By Nominal Data, Samantha Zambo
Ensemble Data Fitting For Bathymetric Models Informed By Nominal Data, Samantha Zambo
Dissertations
Due to the difficulty and expense of collecting bathymetric data, modeling is the primary tool to produce detailed maps of the ocean floor. Current modeling practices typically utilize only one interpolator; the industry standard is splines-in-tension.
In this dissertation we introduce a new nominal-informed ensemble interpolator designed to improve modeling accuracy in regions of sparse data. The method is guided by a priori domain knowledge provided by artificially intelligent classifiers. We recast such geomorphological classifications, such as ‘seamount’ or ‘ridge’, as nominal data which we utilize as foundational shapes in an expanded ordinary least squares regression-based algorithm. To our knowledge …
Incorporating The 10th Edition Institute Of Traffic Engineers (Ite) Trip Generation Rates Into Virginia Department Of Transportation Guidelines, Kun Xie, Mecit Cetin, Hong Yang, Xiaomeng Dong
Incorporating The 10th Edition Institute Of Traffic Engineers (Ite) Trip Generation Rates Into Virginia Department Of Transportation Guidelines, Kun Xie, Mecit Cetin, Hong Yang, Xiaomeng Dong
Civil & Environmental Engineering Faculty Publications
The Institute of Transportation Engineers (ITE) released the Trip Generation (TG) 10th edition in 2017, which significantly updated its database, and some of its trip generation rates were substantially lower than those of earlier editions. This study aims to investigate the applicability of the TG 10th edition in various Virginia contexts and to recommend how to incorporate the TG 10th edition into state guidelines. The research team surveyed 31 state transportation agencies to obtain a clear understanding of current practices in the adoption of trip rates and trip estimation approaches. We systematically compared trip rates of TG 9th and 10th …
Exploration Of Corridor-Based Tolling Strategies For Virginia’S Express Toll Lanes, Shanjiang Zhu, Mecit Cetin, Hong Yang, Olcay Sahin, Atabak Mardan
Exploration Of Corridor-Based Tolling Strategies For Virginia’S Express Toll Lanes, Shanjiang Zhu, Mecit Cetin, Hong Yang, Olcay Sahin, Atabak Mardan
Civil & Environmental Engineering Faculty Publications
Virginia has invested significant resources in the development of express toll lanes (ETLs), which adjust toll rates dynamically based on the level of toll lane usage. A tool is needed to investigate the potential impact of the I-66 Outside-the-Beltway (OTB) ETLs on regional traffic patterns. This study developed a microscopic traffic simulation model in TransModeler to evaluate a set of corridor-based tolling strategies for the I-66 ETLs in NOVA. This model also considered the changes in vehicle occupancy, mode split, and departure time among travelers because of tolls based on locally collected data. An interactive map-based analyzer based on the …
Multilateration Index., Chip Lynch
Multilateration Index., Chip Lynch
Electronic Theses and Dissertations
We present an alternative method for pre-processing and storing point data, particularly for Geospatial points, by storing multilateration distances to fixed points rather than coordinates such as Latitude and Longitude. We explore the use of this data to improve query performance for some distance related queries such as nearest neighbor and query-within-radius (i.e. “find all points in a set P within distance d of query point q”). Further, we discuss the problem of “Network Adequacy” common to medical and communications businesses, to analyze questions such as “are at least 90% of patients living within 50 miles of a covered emergency …
Comportamiento De Los Distintos Sistemas Constructivos Para Dos Sótanos En El Suelo Lacustre De Bogotá, Julián David González Agudelo, José Luis Sierra Lozada
Comportamiento De Los Distintos Sistemas Constructivos Para Dos Sótanos En El Suelo Lacustre De Bogotá, Julián David González Agudelo, José Luis Sierra Lozada
Ingeniería Civil
El proyecto, cuenta con una detallada investigación, en la que se comparan procesos constructivos para sótanos, y la manera como se realizan las excavaciones para los mismos, minimizando errores en el proceso y aumentando factores de seguridad con los que se trabaja en los suelos no muy resistentes, como lo es el lacustre de la ciudad de Bogotá. Además, se hace un análisis de tiempos por medio del software de administración de proyectos 'Project', y un análisis de precios unitarios para cada uno de los procesos constructivos que se trabajaron en el presente proyecto de investigación.
El proyecto, se llevó …
Modernization Of Scienttific Mathematics Formula In Technology, Iwasan D. Kejawa Ed.D, Prof. Iwasan D. Kejawa Ed.D
Modernization Of Scienttific Mathematics Formula In Technology, Iwasan D. Kejawa Ed.D, Prof. Iwasan D. Kejawa Ed.D
Department of Mathematics: Faculty Publications
Abstract
Is it true that we solve problem using techniques in form of formula? Mathematical formulas can be derived through thinking of a problem or situation. Research has shown that we can create formulas by applying theoretical, technical, and applied knowledge. The knowledge derives from brainstorming and actual experience can be represented by formulas. It is intended that this research article is geared by an audience of average knowledge level of solving mathematics and scientific intricacies. This work details an introductory level of simple, at times complex problems in a mathematical epidermis and computability and solvability in a Computer Science. …
Influence Of Extracellular Matrix Stiffness And Topography On Neuronal Cell Behavior And Neurite Outgrowth, Mohan Yasodharababu
Influence Of Extracellular Matrix Stiffness And Topography On Neuronal Cell Behavior And Neurite Outgrowth, Mohan Yasodharababu
Graduate Theses and Dissertations
The focus of regeneration therapy for traumatic brain injuries and Alzheimer's disease is on the promotion and growth of neuronal cells. In vitro research attempts to improve this by modifying the stiffness and topography of the extracellular matrix (ECM). However, the limitations of in vitro experiments make it difficult to control the individual factors influencing neuronal cell growth. A computational model can be used to decouple individual factors and study them individually to gain a better understanding of the mechanics between the neuronal cell and ECM, which will aid in the design of in vitro experimental studies.
This study develops …
Securing The Internet Of Things Communication Using Named Data Networking Approaches, Sanjeev Kaushik Ramani
Securing The Internet Of Things Communication Using Named Data Networking Approaches, Sanjeev Kaushik Ramani
FIU Electronic Theses and Dissertations
The rapid advancement in sensors and their use in devices has led to the drastic increase of Internet-of-Things (IoT) device applications and usage. A fundamental requirement of an IoT-enabled ecosystem is the device’s ability to communicate with other devices, humans etc. IoT devices are usually highly resource constrained and come with varying capabilities and features. Hence, a host-based communication approach defined by the TCP/IP architecture relying on securing the communication channel between the hosts displays drawbacks especially when working in a highly chaotic environment (common with IoT applications). The discrepancies between requirements of the application and the network supporting the …
Stock Market Manipulation Detection Using Continuous Wavelet Transform & Machine Learning Classification, Sarah Youssef
Stock Market Manipulation Detection Using Continuous Wavelet Transform & Machine Learning Classification, Sarah Youssef
Theses and Dissertations
Stock market manipulation detection is important for both investors and regulators. Being able to detect stock manipulation and preventing it gives investors the confidence in the market fairness and integrity. It also helps maintaining liquidity of the stocks and market efficiency. Implementing data mining algorithms in manipulation detection is a relatively recent technique but in the past few years there has been an increasing interest in it's applications in this domain. The benefit of monitoring manipulative trade behavior is that it can be implemented on live feed of stock data, which saves a lot of time in detecting stock price …
Fluid-Structure Interaction Of Nrel 5-Mw Wind Turbine, Mohamed Sayed Elkady Abd-Elhay
Fluid-Structure Interaction Of Nrel 5-Mw Wind Turbine, Mohamed Sayed Elkady Abd-Elhay
Theses and Dissertations
Wind energy is considered one of the major sources of renewable energy. Nowadays, wind turbine blades could exceed 100 m to maximize the generated power and minimize produced energy cost. Due to the enormous size of the wind turbines, the blades are subjected to failure by aerodynamics loads or instability issues. Also, the gravitational and centrifugal loads affect the wind turbine design because of the huge mass of the blades. Accordingly, wind turbine simulation became efficient in blade design to reduce the cost of its manufacturing. The fluid-structure interaction (FSI) is considered an effective way to study the turbine's behavior …
Leveraging Intermediate Artifacts To Improve Automated Trace Link Retrieval, Alberto D. Rodriguez
Leveraging Intermediate Artifacts To Improve Automated Trace Link Retrieval, Alberto D. Rodriguez
Master's Theses
Software traceability establishes a network of connections between diverse artifacts such as requirements, design, and code. However, given the cost and effort of creating and maintaining trace links manually, researchers have proposed automated approaches using information retrieval techniques. Current approaches focus almost entirely upon generating links between pairs of artifacts and have not leveraged the broader network of interconnected artifacts. In this paper we investigate the use of intermediate artifacts to enhance the accuracy of the generated trace links – focus- ing on paths consisting of source, target, and intermediate artifacts. We propose and evaluate combinations of techniques for computing …
Dependencyvis: Helping Developers Visualize Software Dependency Information, Nathan Lui
Dependencyvis: Helping Developers Visualize Software Dependency Information, Nathan Lui
Master's Theses
The use of dependencies have been increasing in popularity over the past decade, especially as package managers such as JavaScript's npm has made getting these packages a simple command to run. However, while incidents such as the left-pad incident has increased awareness of how vulnerable relying on these packages are, there is still some work to be done when it comes to getting developers to take the extra research step to determine if a package is up to standards. Finding metrics of different packages and comparing them is always a difficult and time consuming task, especially since potential vulnerabilities are …