Aekyeung Moon

According to our database, Aekyeung Moon authored at least 17 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Understanding Integrity of Time Series IoT Datasets through Local Outlier Detection with Steep Peak and Valley.

Jungeun Yoon, Aekyeung Moon, Seungwoo Son

Proceedings of the 2023 11th International Conference on Information Technology: IoT and Smart City, 2023

Gradual Semi-Automatic Annotation and Hybrid Model for Effective Detection of Garbage Bags.

Hoseok Hwang, Aekyeung Moon, Seung Woo Son

Proceedings of the 2023 11th International Conference on Information Technology: IoT and Smart City, 2023

Outlier Elimination and Reliability Assessment for Peak and Declining Time Series Datasets.

Jungeun Yoon, Aekyeung Moon, Seung Woo Son

Proceedings of the IEEE International Conference on Data Mining, 2023

2022

Characterization of Transform-Based Lossy Compression for HPC Datasets.

Aekyeung Moon, Jiaxi Chen, Seung Woo Son, Minjun Kim

Proceedings of the 8th IEEE/ACM International Workshop on Data Analysis and Reduction for Big Scientific Data, 2022

Lossy Predictive Models for Accurate Classification Algorithms.

Aekyeung Moon, Seung Woo Son, Hyson Kim, Minjun Kim

Proceedings of the IEEE International Conference on Big Data, 2022

Towards Guaranteeing Error Bound in DCT-based Lossy Compression.

Jiaxi Chen, Aekyeung Moon, Seung Woo Son

Proceedings of the IEEE International Conference on Big Data, 2022

2021

DPZ: Improving Lossy Compression Ratio with Information Retrieval on Scientific Data.

Jialing Zhang, Jiaxi Chen, Xiaoyan Zhuo, Aekyeung Moon, Seung Woo Son

Proceedings of the IEEE International Conference on Cluster Computing, 2021

Cascaded Dimension Reduction for Effective Anomaly Detection.

Xiaoyan Zhuo, Aekyeung Moon, Jialing Zhang, Seung Woo Son

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Bit-Error Aware Quantization for DCT-based Lossy Compression.

Jialing Zhang, Jiaxi Chen, Aekyeung Moon, Xiaoyan Zhuo, Seung Woo Son

Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020

Anomaly Detection in Edge Nodes using Sparsity Profile.

Aekyeung Moon, Xiaoyan Zhuo, Jialing Zhang, Seung Woo Son, Yun Jeong Song

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Understanding Bit-Error Trade-off of Transform-based Lossy Compression on Electrocardiogram Signals.

Aekyeung Moon, Seung Woo Son, Jiuk Jung, Yun Jeong Song

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Efficient Encoding and Reconstruction of HPC Datasets for Checkpoint/Restart.

Jialing Zhang, Xiaoyan Zhuo, Aekyeung Moon, Hang Liu, Seung Woo Son

Proceedings of the 35th Symposium on Mass Storage Systems and Technologies, 2019

Towards Improving Rate-Distortion Performance of Transform-Based Lossy Compression for HPC Datasets.

Jialing Zhang, Aekyeung Moon, Xiaoyan Zhuo, Seung Woo Son

Proceedings of the 2019 IEEE High Performance Extreme Computing Conference, 2019

AD²: Improving Quality of IoT Data through Compressive Anomaly Detection.

Aekyeung Moon, Xiaoyan Zhuo, Jialing Zhang, Seung Woo Son

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Evaluating fidelity of lossy compression on spatiotemporal data from an IoT enabled smart farm.

Aekyeung Moon, Jaeyoung Kim, Jialing Zhang, Seung Woo Son

Comput. Electron. Agric., 2018

2017

Lossy compression on IoT big data by exploiting spatiotemporal correlation.

Aekyeung Moon, Jaeyoung Kim, Jialing Zhang, Seung Woo Son

Proceedings of the 2017 IEEE High Performance Extreme Computing Conference, 2017

Understanding the impact of lossy compressions on IoT smart farm analytics.

Aekyeung Moon, Jaeyoung Kim, Jialing Zhang, Hang Liu, Seung Woo Son

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017