Browsing by Author/Contributor "Song, Sejun"
Now showing items 1-17 of 17
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A decoupled scheme for a single-phase model in ferrohydrodynamics
Delibas, Lucas (2024)In this Ph.D. research, we propose numerical approximations of a simplified model for single phase ferrofluid flow, which consists of the Navier–Stokes equations coupled with the Poisson equation. Using several spatial and ... -
Building a reliable and secure management framework for software-defined networks
Alenezi, Faheed A.F. (2021)The Software-Defined Networking (SDN) technologies promise to enhance the performance and cost of managing both wired and wireless network infrastructures, functions, controls, and services (i.e., Internet of Things). ... -
Characterizing Road Conditions via Smart Mobile Crowd Sourcing
Shorter, Dustin (University of Missouri -- Kansas City, 2019)Bad road conditions can cause vehicle damage and create hazardous driving conditions. Current reporting methods for bad road conditions is a burden for the reporter, so much so that these conditions might not be ... -
Deep Learning Based Point Cloud Processing and Compression
Akhtar, Anique (2022)A point cloud is a 3D data representation that is becoming increasingly popular. Recent significant advances in 3D sensors and capturing techniques have led to a surge in the usage of 3D point clouds in virtual reality/augmented ... -
Enriching Knowledge Graphs Using Machine Learning Techniques
Gharibi, Mohamed (2020)A knowledge graph represents millions of facts and reliable information about people, places, and things. These knowledge graphs have proven their reliability and their usage for providing better search results; answering ... -
Federated learning-based 3D pothole detection, evaluation, and routing for smart transportation
Alshammari, Sami A. Q. (2024)Bad road conditions can cause vehicle damage and create hazardous driving conditions. Auto damages caused by potholes can add up to thousands of dollars per vehicle. Besides, pothole resolution is one of the most expensive ... -
ICE-MILK: Intelligent Crowd Engineering using Machine-based Internet of Things Learning and Knowledge Building
Almalki, Khalid Jaber (2022)The lack of proper crowd safety control and management often leads to spreading human casualties and infectious diseases (e.g., COVID-19). Many Machine Learning (ML) technologies inspired by computer vision and video ... -
Ice-Mocha: Intelligent crowd engineering using mobile internet of things characterization and analytics
Jabbari, Abdoh (2019)Human casualties at entertaining, religious, or political crowd events often occur due to the lack of proper crowd safety management. Notably, for a moving crowd, a minor accident can create a panic for the people to start ... -
iMOST: Intelligent Motion-Sensing Approaches for Tracking Emotion
Choi, Sarah (University of Missouri -- Kansas City, 2018)The aged, minor, and disease members often find it hard to express themselves. They are not fully aware of their need for any help or how to ask for help. The lack of communication ability decreases the quality of life and ... -
Improving Robustness of Gait Recognition Based on Deep Learning
Liao, Rijun (2024)Gait recognition is a technology that identifies human ID according to the human unique biometric gait feature. It has two popular categories. One category of gait recognition methods is appearance-based algorithms, which ... -
ML-CHIEFS: machine learning-based corneal-specular highlight imaging for enhancing facial recognition security
Mohzary, Muhammad Ali H (2023)Machine learning (ML) has significantly improved facial recognition systems' (FRS) accuracy, robustness, and reliability, making them one of the most viable biometric identity verification solutions in various authentication ... -
NQAR: Network quality aware routing in error-prone wireless sensor networks
Choi, Baek-Young; Choi, Jaewon; Song, Sejun (Hindawi Publishing Corporation, 2012-06-01)We propose a network quality aware routing (NQAR) mechanism to provide an enabling method of the delay-sensitive data delivery over error-prone wireless sensor networks. Unlike the existing routing methods that select ... -
NQAR: Network Quality Aware Routing in Error-Prone Wireless Sensor Networks
Choi, Jaewon; Choi, Baek-Young; Song, Sejun; Lee, Kwang-Hui (2009-11-10)We propose a network quality aware routing (NQAR) mechanism to provide an enabling method of the delay-sensitive data delivery over error-prone wireless sensor networks. Unlike the existing routing methods that select ... -
Reliability management framework for softwarized networks
Zhu, Haihong (2021)The Software-Defined Networking (SDN) technologies promise to enhance the performance, reliability, and cost of managing both wired and wireless network infrastructures, functions, controls, and services (i.e., Internet ... -
Toward smart Mobility by Enhancing Travel-Time Reliability
Sankarasetty, Avinash (University of Missouri -- Kansas City, 2018)Here is my abstract – Smart mobility is an essential element in building smart cities. To realize connected and automated smart mobility as a service, the capability to efficiently estimate the travel-time reliability ... -
Towards Data Optimization in Storages and Networks
Kim, Daehee (2015-08-04)We are encountering an explosion of data volume, as a study estimates that data will amount to 40 zeta bytes by the end of 2020. This data explosion poses significant burden not only on data storage space but also access ... -
Using RTT Variability for Adaptive Cross-Layer Approach to Multimedia Delivery in Heterogeneous Networks
Choi, Baek-Young; Song, Sejun; Wang, Yue; Park, Eun Kyo (IEEE, 2009-10)A holistic approach should be made for a wider adoption of a cross-layer approach. A cross-layer design on a wireless network assumed with a certain network condition, for instance, can have a limited usage in heterogeneous ...