Browsing University of Missouri-Kansas City by Thesis Advisor "Song, Sejun"
Now showing items 1-12 of 12
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Building a reliable and secure management framework for software-defined networks
(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
(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
(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
(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
(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
(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
(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
(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 ... -
ML-CHIEFS: Machine Learning-based Corneal-specular Highlight Imaging for Enhancing Facial Recognition Security
(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 ... -
Reliability management framework for softwarized networks
(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
(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
(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 ...