Jongyeop Kim

According to our database, Jongyeop Kim authored at least 30 papers between 2014 and 2023.

Collaborative distances:

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

2023

Cloud-Based Human Emotion Classification Model from EEG Signals.

Suhaima Jamal, Meenalosini Vimal Cruz, Jongyeop Kim

Proceedings of the 14th IEEE Annual Ubiquitous Computing, 2023

Deep Learning Model for Railroad Structural Health Monitoring via Distributed Acoustic Sensing.

Md Arifur Rahman, Hossein Taheri, Jongyeop Kim

Proceedings of the 25th ACIS International Winter Conference on Software Engineering, 2023

Evaluating the Performance of Containerized Webservers against web servers on Virtual Machines using Bombardment and Siege.

Daniel Ukene, Hayden Wimmer, Jongyeop Kim

Proceedings of the 21st IEEE/ACIS International Conference on Software Engineering Research, 2023

Anomaly Detection in Intrusion Detection System using Amazon SageMaker.

Ian Trawinski, Hayden Wimmer, Jongyeop Kim

Proceedings of the 21st IEEE/ACIS International Conference on Software Engineering Research, 2023

Deep Learning Model to Improve the Stability of Damage Identification via Output-only Signal.

Jongyeop Kim, Jinki Kim, Matthew Sands, Seongsoo Kim

Proceedings of the 21st IEEE/ACIS International Conference on Software Engineering Research, 2023

A Comparative Study of Deep Learning Models for Hyper Parameter Classification on UNSW-NB15.

Seongsoo Kim, Lei Chen, Jongyeop Kim, Yiming Ji, Rami J. Haddad

Proceedings of the 21st IEEE/ACIS International Conference on Software Engineering Research, 2023

DRL Model for Distributed Agent-based IoT on Multi-Access Edge Computing for Accident Forecast.

Jongho Seol, Jongyeop Kim, Abhilash Kancharla

Proceedings of the 8th IEEE/ACIS International Conference on Big Data, 2023

Improving Network Intrusion Detection Using Supervised Learning for Feature Selection.

Hamed Sanusi, Zheni Utic, Jongyeop Kim

Proceedings of the 8th IEEE/ACIS International Conference on Big Data, 2023

Hyper Parameter Classification on Deep Learning Model for Cryptocurrency Price Prediction.

Jongyeop Kim, Jongho Seol, Tasnim Akter Onisha, Yiming Ji

Proceedings of the 8th IEEE/ACIS International Conference on Big Data, 2023

2022

Ensemble Deep Learning Model for Damage Identification via Output-Only Signal Analysis.

Matthew Sands, Jongyeop Kim, Jinki Kim, Seongsoo Kim

Proceedings of the 24th IEEE/ACIS International Conference on Software Engineering, 2022

A Deep Learning Model for Predicting Damaged Points via Random Vibration Signal Analysis.

Matthew Sands, Jongyeop Kim, Jinki Kim, Seongsoo Kim

Proceedings of the 24th IEEE/ACIS International Conference on Software Engineering, 2022

Output-only Structural Damage Detection via Enhanced Random Vibration Analysis using LSTM/GRU model.

Matthew Sands, Jongyeop Kim, Jinki Kim

Proceedings of the 20th IEEE/ACIS International Conference on Software Engineering Research, 2022

Analysis of Deep Learning Libraries: Keras, PyTorch, and MXnet.

Seongsoo Kim, Hayden Wimmer, Jongyeop Kim

Proceedings of the 20th IEEE/ACIS International Conference on Software Engineering Research, 2022

Dolphin Whistle Visualization Framework: MySQL Query Approach.

Seongsoo Kim, Yiming Ji, Jongyeop Kim, Eric W. Montie

Proceedings of the 20th IEEE/ACIS International Conference on Software Engineering Research, 2022

Big Cyber Security Data Analysis with Apache Mahou.

Omotola Adekanbmi, Hayden Wimmer, Jongyeop Kim

Proceedings of the 20th IEEE/ACIS International Conference on Software Engineering Research, 2022

2021

Intrusion Prediction using LSTM and GRU with UNSW-NB15.

Seongsoo Kim, Lei Chen, Jongyeop Kim

Proceedings of the Computing, Communications and IoT Applications, ComComAp 2021, Shenzhen, 2021

A Streaming Data Collection and Analysis for Cryptocurrency Price Prediction using LSTM.

Jongyeop Kim, Hayden Wimmer, Hong Liu, Seongsoo Kim

Proceedings of the 6th IEEE/ACIS International Conference on Big Data, 2021

A Cryptocurrency Prediction Model Using LSTM and GRU Algorithms.

Jongyeop Kim, Seongsoo Kim, Hayden Wimmer, Hong Liu

Proceedings of the 6th IEEE/ACIS International Conference on Big Data, 2021

Intrusion Prediction using Long Short-Term Memory Deep Learning with UNSW-NB15.

Seongsoo Kim, Lei Chen, Jongyeop Kim

Proceedings of the 6th IEEE/ACIS International Conference on Big Data, 2021

2019

Automated Configuration Parameter Classfication Model for Hive Query Plan on the Apache Yarn.

Jongyeop Kim, Seongsoo Kim, Donghoon Kim, Hong Liu

Proceedings of the 2019 IEEE International Conference on Big Data, 2019

2018

Coexistence of Full-Duplex-Based IEEE 802.15.4 and IEEE 802.11.

Jongyeop Kim, Wonhong Jeon, Kyung-Joon Park, Jihwan P. Choi

IEEE Trans. Ind. Informatics, 2018

Optimized Common Parameter Set Extraction Framework by Multiple Benchmarking Applications on a Big Data Platform.

Jongyeop Kim, Abhilash Kancharla, Jongho Seol, Indy Park, Nohpill Park

Int. J. Networked Distributed Comput., 2018

Physical-Layer Security Against Smart Eavesdroppers: Exploiting Full-Duplex Receivers.

Jongyeop Kim, Jinwoong Kim, Jemin Lee, Jihwan P. Choi

IEEE Access, 2018

Optimized Common Parameter Set Extraction by Benchmarking Applications on a Big Data Platform.

Jongyeop Kim, Abhilash Kancharla, Jongho Seol, Noh-Jin Park, Nohpill Park

Proceedings of the 19th IEEE/ACIS International Conference on Software Engineering, 2018

2017

A Study of Heuristically-Based Parametric Performance Improvement/Optimization Algorithms for BigData Computing.

Jongyeop Kim, Noh-Jin Park, Nohpill Park

Proceedings of the 4th Intl Conf on Applied Computing and Information Technology/3rd Intl Conf on Computational Science/Intelligence and Applied Informatics/1st Intl Conf on Big Data, 2017

Big Streaming Data Buffering Optimization.

Abhilash Kancharla, Jongyeop Kim, Noh-Jin Park, Nohpill Park

Proceedings of the 4th Intl Conf on Applied Computing and Information Technology/3rd Intl Conf on Computational Science/Intelligence and Applied Informatics/1st Intl Conf on Big Data, 2017

2016

Cancellation-Based Friendly Jamming for Physical Layer Security.

Jongyeop Kim, Jihwan P. Choi

Proceedings of the 2016 IEEE Global Communications Conference, 2016

2015

Performance evaluation and tuning for MapReduce computing in Hadoop distributed file system.

Jongyeop Kim, Ashwin Kumar T. K, K. M. George, Nohpill Park

Proceedings of the 13th IEEE International Conference on Industrial Informatics, 2015

Identification of the Optimal Hadoop Configuration Parameters Set for Mapreduce Computing.

Jongyeop Kim, Nohpill Park

Proceedings of the 3rd International Conference on Applied Computing and Information Technology, 2015

2014

Dynamic data rebalancing in Hadoop.

Ashwin Kumar T. K, Jongyeop Kim, K. M. George, Nohpill Park

Proceedings of the 2014 IEEE/ACIS 13th International Conference on Computer and Information Science, 2014