Open Access. Powered by Scholars. Published by Universities.®
- Discipline
-
- Computer Sciences (8)
- Physical Sciences and Mathematics (8)
- Social and Behavioral Sciences (5)
- Data Science (3)
- Art and Design (2)
-
- Artificial Intelligence and Robotics (2)
- Arts and Humanities (2)
- Computational Engineering (2)
- Education (2)
- Educational Technology (2)
- Electrical and Computer Engineering (2)
- Emergency and Disaster Management (2)
- Game Design (2)
- International and Area Studies (2)
- Latin American Studies (2)
- Migration Studies (2)
- Public Affairs, Public Policy and Public Administration (2)
- Science and Mathematics Education (2)
- Sociology (2)
- Theory and Algorithms (2)
- Communication (1)
- Engineering Education (1)
- Geography (1)
- Longitudinal Data Analysis and Time Series (1)
- Online and Distance Education (1)
- Public Policy (1)
- Remote Sensing (1)
- Social Media (1)
- Keyword
-
- Machine learning (2)
- Virtual environment (2)
- Damage assessment (1)
- Data dependencies (1)
- Education (1)
-
- Event graphs (1)
- Frustration (1)
- GPU utilization (1)
- Game design (1)
- Game-based learning (1)
- LiDAR (1)
- Mathematics (1)
- Migrants (1)
- Migration (1)
- Mixed methods (1)
- Natural disaster (1)
- Natural disasters (1)
- Natural language processing (1)
- News analysis (1)
- Parallel discrete-event simulation (1)
- Path model (1)
- Performance measures (1)
- Point cloud (1)
- Pointnet (1)
- Policy makers (1)
- Procedure animation (1)
- Procedure annotation (1)
- Resiliency (1)
- Semantic segmentation (1)
- Simulation (1)
Articles 1 - 10 of 10
Full-Text Articles in Computer Engineering
Simulating Function Generators And Oscilloscopes In A Virtual Laboratory Environment, Yiyang Li, Yuzhong Shen, Charles I. Sukenik
Simulating Function Generators And Oscilloscopes In A Virtual Laboratory Environment, Yiyang Li, Yuzhong Shen, Charles I. Sukenik
Modeling, Simulation and Visualization Student Capstone Conference
This paper discusses the development of a virtual laboratory for simulating electronic instruments commonly used in science and engineering courses, such as function generators and digital storage oscilloscopes. Mathematical equations are used to represent continuous signals and ensure signal integrity, while C# delegates are adopted to enable communication between simulated devices. The approach allows for loose coupling between software components and high cohesion of individual components, and can be applied to other virtual laboratory developments. The virtual laboratory provides a means for students to gain hands-on experience with electronic instruments and improve their understanding of theoretical concepts.
Automatic Generation Of Virtual Work Guide For Complex Procedures: A Case, Shan Liu, Yuzhong Shen
Automatic Generation Of Virtual Work Guide For Complex Procedures: A Case, Shan Liu, Yuzhong Shen
Modeling, Simulation and Visualization Student Capstone Conference
Practical work guides for complex procedures are significant and highly affect the efficiency and accuracy of on-site users. This paper presents a technique to generate virtual work guides automatically for complex procedures. Firstly, the procedure information is extracted from the electronic manual in PDF format. And then, the extracted procedure steps are mapped to the virtual model parts in preparation for animation between adjacent steps. Next, smooth animations of the procedure are generated based on a 3D natural cubic spline curve to improve the spatial ability of the work guide. In addition, each step's annotation is automatically adjusted to improve …
Hampton Roads' Building Resilient Communities Flood Game, Gul Ayaz, Katherine Smith, Rafael Diaz, Joshua G. Behr
Hampton Roads' Building Resilient Communities Flood Game, Gul Ayaz, Katherine Smith, Rafael Diaz, Joshua G. Behr
Modeling, Simulation and Visualization Student Capstone Conference
As rising sea levels and subsequent recurrent flooding disproportionately affects coastal areas, it is crucial to develop a heightened awareness of the impacts of natural disasters on communities and the environments they live in. The Hampton Roads’ Building Resilient Communities (BRC) Flood Game is a simulation role-playing game designed to allow players to increase their understanding of the impact of various community response interventions to sea level rise and recurrent flooding. Players will examine and assess the tradeoffs of resiliency investments, the impact policies may have on the population, and the amount of time return on investment takes. The BRC …
Digital Game-Based Approach To Math Learning For Students, Gul Ayaz, Katherine Smith
Digital Game-Based Approach To Math Learning For Students, Gul Ayaz, Katherine Smith
Modeling, Simulation and Visualization Student Capstone Conference
Mathematics is an important subject that is pervasive across many disciplines. It is also a subject that has proven to be challenging to both teach and learn. Students face many challenges with learning math such as a lack of motivation and anxiety. To address these challenges, game-based learning has become a popular approach to stimulate students and create a more positive classroom environment. It can serve as an alternative or supplement to traditional teaching and can better engage students while developing a positive attitude toward learning. The use of games in a classroom can create a more exciting and engaging …
Gpu Utilization: Predictive Sarimax Time Series Analysis, Dorothy Dorie Parry
Gpu Utilization: Predictive Sarimax Time Series Analysis, Dorothy Dorie Parry
Modeling, Simulation and Visualization Student Capstone Conference
This work explores collecting performance metrics and leveraging the output for prediction on a memory-intensive parallel image classification algorithm - Inception v3 (or "Inception3"). Experimental results were collected by nvidia-smi on a computational node DGX-1, equipped with eight Tesla V100 Graphic Processing Units (GPUs). Time series analysis was performed on the GPU utilization data taken, for multiple runs, of Inception3’s image classification algorithm (see Figure 1). The time series model applied was Seasonal Autoregressive Integrated Moving Average Exogenous (SARIMAX).
Lidar Buoy Detection For Autonomous Marine Vessel Using Pointnet Classification, Christopher Adolphi, Dorothy Dorie Parry, Yaohang Li, Masha Sosonkina, Ahmet Saglam, Yiannis E. Papelis
Lidar Buoy Detection For Autonomous Marine Vessel Using Pointnet Classification, Christopher Adolphi, Dorothy Dorie Parry, Yaohang Li, Masha Sosonkina, Ahmet Saglam, Yiannis E. Papelis
Modeling, Simulation and Visualization Student Capstone Conference
Maritime autonomy, specifically the use of autonomous and semi-autonomous maritime vessels, is a key enabling technology supporting a set of diverse and critical research areas, including coastal and environmental resilience, assessment of waterway health, ecosystem/asset monitoring and maritime port security. Critical to the safe, efficient and reliable operation of an autonomous maritime vessel is its ability to perceive on-the-fly the external environment through onboard sensors. In this paper, buoy detection for LiDAR images is explored by using several tools and techniques: machine learning methods, Unity Game Engine (herein referred to as Unity) simulation, and traditional image processing. The Unity Game …
Assessing Frustration Towards Venezuelan Migrants In Columbia: Path Analysis On Newspaper Coded Data, Brian Llinás, Guljannat Huseynli, Erika Frydenlund, Katherine Palacia, Jose Padilla
Assessing Frustration Towards Venezuelan Migrants In Columbia: Path Analysis On Newspaper Coded Data, Brian Llinás, Guljannat Huseynli, Erika Frydenlund, Katherine Palacia, Jose Padilla
Modeling, Simulation and Visualization Student Capstone Conference
This study analyzes the impact of Venezuelan migrants on local frustration levels in Colombia. The study found a relationship between the influx of Venezuelan migrants and the level of frustration among locals towards migrants, infrastructure, government, and geopolitics. Additionally, we identified that frustration types have an impact on other frustrations. The study used articles from a national newspaper in Colombia from 2015 to 2020. News articles were coded during a previous study qualitatively and categorized into frustration types. The code frequencies were then used as variables in this study. We used path modeling to statistically study the relationship between dependent …
Behind Derogatory Migrants' Terms For Venezuelan Migrants: Xenophobia And Sexism Identification With Twitter Data And Nlp, Joseph Martínez, Melissa Miller-Felton, Jose Padilla, Erika Frydenlund
Behind Derogatory Migrants' Terms For Venezuelan Migrants: Xenophobia And Sexism Identification With Twitter Data And Nlp, Joseph Martínez, Melissa Miller-Felton, Jose Padilla, Erika Frydenlund
Modeling, Simulation and Visualization Student Capstone Conference
The sudden arrival of many migrants can present new challenges for host communities and create negative attitudes that reflect that tension. In the case of Colombia, with the influx of over 2.5 million Venezuelan migrants, such tensions arose. Our research objective is to investigate how those sentiments arise in social media. We focused on monitoring derogatory terms for Venezuelans, specifically veneco and veneca. Using a dataset of 5.7 million tweets from Colombian users between 2015 and 2021, we determined the proportion of tweets containing those terms. We observed a high prevalence of xenophobic and defamatory language correlated with the …
An Algorithm For Finding Data Dependencies In An Event Graph, Erik J. Jensen
An Algorithm For Finding Data Dependencies In An Event Graph, Erik J. Jensen
Modeling, Simulation and Visualization Student Capstone Conference
This work presents an algorithm for finding data dependencies in a discrete-event simulation system, from the event graph of the system. The algorithm can be used within a parallel discrete-event simulation. Also presented is an experimental system and event graph, which is used for testing the algorithm. Results indicate that the algorithm can provide information about which vertices in the experimental event graph can affect other vertices, and the minimum amount of time in which this interference can occur.
U-Net Based Multiclass Semantic Segmentation For Natural Disaster Based Satellite Imagery, Nishat Ara Nipa
U-Net Based Multiclass Semantic Segmentation For Natural Disaster Based Satellite Imagery, Nishat Ara Nipa
Modeling, Simulation and Visualization Student Capstone Conference
Satellite image analysis of natural disasters is critical for effective emergency response, relief planning, and disaster prevention. Semantic segmentation is believed to be on of the best techniques to capture pixelwise information in computer vision. In this work we will be using a U-Net architecture to do a three class semantic segmentation for the Xview2 dataset to capture the level of damage caused by different natural disaster which is beyond the visual scope of human eyes.