Computer Engineering Commons^™

Using Deep Neural Network And Transformers To Extract Graphene Compounds And Properties, Ayman Ibn Jaman

Computer Science Graduate Research Workshop

No abstract provided.

Heterogeneous Resources Cost-Aware Geo-Distributed Data Analytics, Minmin Zhang

UNO Student Research and Creative Activity Fair

Many popular cloud service providers deploy tens of data centers (DCs) around the world to reduce user-perceived latency for better user experiences, in which a large amount of data is generated and stored in a geo-distributed manner. Geo-distributed Data Analytics (GDA) has gained great popularity in meeting the growing demand to mine meaningful and timely knowledge from such highly dispersed data. Since GDA systems require a large data migration between DCs via a wide area network (WAN), many existing works invested significant effort to optimize data transfer strategies to efficiently use limited WAN by considering the network pricing policies on …

Performance Analysis Of Voting Algorithms In Wireless Sensor Networks, Aditi Mishra

Computer Science Graduate Research Workshop

No abstract provided.

Consensus-Based Robotic Formation Control, Satish Reddy Modugu

Computer Science Graduate Research Workshop

No abstract provided.

Simulator For Qubit Measurement Using Augmented Reality, Sai Pradeep Koneti

Computer Science Graduate Research Workshop

No abstract provided.

An Application Of Artificial General Intelligence In Board Games, Nathan Skalka

Computer Science Graduate Research Workshop

No abstract provided.

Decreasing Technology Design Costs By Using Youtube Video To Evaluate User Acceptance, Tom Chappelear

UNO Student Research and Creative Activity Fair

User acceptance is a measure that contributes to technology feasibility which is a decision point that entrepreneurs use to help make better investment decisions (Hoffer, 2011). User acceptance testing is part of a design strategy where the system designer attempts to minimize risks and provide design information that an entrepreneur can use to make better investment decisions (Hoffer, 2011). A user acceptance testing instruments can range from a low-cost coffeeshop review to expensive lab-based user testing (Shneiderman, 2017). This study builds upon the User Acceptance of Information Technology (UTAUT) model to measure user acceptance for the system being evaluated (Venkatesh, …

Estimating Variations In Metabolic Cost Within The Stride Cycle During Level And Uphill Walking, Arash Mohammadzadeh Gonabadi

UNO Student Research and Creative Activity Fair

Indirect calorimetry provides the average cost of a stride cycle and prevents from identifying which part of the gait cycle causes increased metabolic cost in patients, however, recent simulation methods allow estimating the time profile of metabolic cost within the stride cycle. In this study, we compare the estimations of the time profile of the metabolic cost of two simulation methods for level and uphill walking. We used kinematic, kinetic and electromyography data from level and uphill walking (one participant) to estimate the time profiles of metabolic cost using the muscle-level metabolic model of Umberger using electromyography and kinematic data …

A Correlation Network Model For Managing Safety And Performance Issues In Bridges And Civil Infrastructures, Prasad Chetti

UNO Student Research and Creative Activity Fair

Many recent studies have shown that a large percentage of bridges in many parts of the world have low safety rating. National Bridge Inventory (NBI) database contains the information of more than 600,000 bridges, where each bridge has 116 parameters. Current safety inspections require bridge inspectors to manually inspect each bridge every few years. Manpower and budget constraints limit such approach from inspecting the bridges more frequently. Clearly, more efficient approaches need to be developed to improve the process of bridge inspection and increase the overall safety of bridges and civil infrastructures. In this study, we propose a Correlation Network …

A Shared-Memory Algorithm For Updating Single-Source Shortest Paths In Large Weighted Dynamic Networks, Sriram Srinivasan

UNO Student Research and Creative Activity Fair

In the last decade growth of social media, increased the interest of network algorithms for analyzing large-scale complex systems. The networks are highly unstructured and exhibit poor locality, which has been a challenge for developing scalable parallel algorithms. The state-of-the-art network algorithms such as Prim's algorithm for Minimum Spanning Tree, Dijkstra's algorithm for Single Source Shortest Path and ISPAN algorithm for detecting strongly connected components are designed and optimized for static networks. The networks which change with time i.e. the dynamic networks such as social networks, the above-mentioned approaches can only be utilized if they are recomputed from scratch each …

Mobility-Based Models For Advancing Diagnostic/Predictive Healthcare, Elham Rastegari

UNO Student Research and Creative Activity Fair

Functional ability has been always considered as one of the important determining factors of individuals’ health and quality of life. Traditional movement analysis systems require expensive facilities and frequent visits for patients to specialized laboratories. Portability and affordability of wearable sensors along with their improved accuracy and capability of monitoring movement during daily activities make them a potential alternative for analyzing mobility patterns for clinical and health assessment purposes. Wearable-based movement data, when combined with other relevant clinical or laboratory data, could enhance evidence-based healthcare and data-driven Clinical Decision Support Systems (CDSS). Utilizing the data from wearable devices, many researchers …

Keep It Simple, Keep It Safe - Research On The Impacts Of Increasing Complexity Of Modern Enterprise Applications, Shawn Ware, David Phillips

UNO Student Research and Creative Activity Fair

As the Cybersecurity program within UNO continues to adapt to the ever-changing world of information systems and information security, the Cybersecurity Capstone has recently become an active, community-involvement project, where real-world organizations can receive valuable, useful research and information from students on their way towards a degree. This presentation encompasses two such projects from the Cybersecurity Capstone, looking at how modern, more complex systems can often increase system vulnerability.

Quantifying Static And Dynamic Stability Using Mobile Sensors, Mason Schleu

UNO Student Research and Creative Activity Fair

Quantifying Static and Dynamic Stability Using Mobile Sensors

Balance disorders burden over 35% of Americans, causing substantial impact on quality of life due to psychological and physical hardships associated with poor balance. Balance disorder can affect all individuals, and range in seriousness from slight dizziness to the inability to safely walk from place to place. Elderly adults are most susceptible to the dangers of poor balance, where injuries from falling are a prevalent and grave concern. Balance disorders are often assessed only after the event of a fall or injury, warranting the need for a readily available, at home balance …

Autonomous Uav Navigation In An Indoor Environment For Warehouse Inventory Recording, Venkat Ramana Reddy Garlapati

UNO Student Research and Creative Activity Fair

UAV’s are currently used extensively in outdoor environments for various applications, including wildfire monitoring, and agricultural surveying, their use in indoor applications have been fairly restricted, owing mainly to the difficulty to maneuver them in smaller indoor spaces and the inability to use GPS-based navigation system. Nevertheless, there are many indoor applications where UAVs could provide a safe, reliable and resilient means to perform operations that are dangerous for humans such as surveillance inside chemical plants, inventory scanning in cold storages etc., Autonomous UAV navigation in an indoor environment can be achieved by finding a collision-free flight path to pass …

A Hierarchical Learning Model For Extracting Public Health Data From Social Media, Elham Rastegari

UNO Student Research and Creative Activity Fair

In decision making processes, particularly when it comes to health-related decisions, each relevant piece of information is important. This is particularly important when it comes to health conditions for which there remains a high degree of non-determinism as far as diagnosis and treatment. Online social media, are places in which people feel free to share their opinions about numerous topics, including public health issues and how individuals have responded to different types of treatments associated with diseases. social media could represent a secondary source that can be used as a supplement to other data sources. This would allow individuals as …