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2024
1 Lee, Ming-Chang; Lin, Jia-Chun.
Evaluation of k-means time series clustering based on z-normalization and NP-Free. SciTePress 2024 (ISBN 978-989-758-626-2) 9 s.
NTNU HVL Untitled
 
2023
2 Khatiwada, Pankaj; Fauzi, Muhammad Ali; Yang, Bian; Lin, Jia-Chun; Yeng, Prosper Kandabongee; Sun, Luyi.
Threats and Risk on Using Digital Technologies for Remote Health Care Process. Association for Computing Machinery (ACM) 2023 (ISBN 9798400708503)
UIA NTNU Untitled
 
3 Lee, Ming-Chang; Lin, Jia-Chun.
Impact of Deep Learning Libraries on Online Adaptive Lightweight Time Series Anomaly Detection. I: Proceedings of the 18th International Conference on Software Technologies. SciTePress 2023 ISBN 978-989-758-665-1. s. 106-116
NTNU HVL Untitled
 
4 Lee, Ming-Chang; Lin, Jia-Chun.
RePAD2: Real-Time, Lightweight, and Adaptive Anomaly Detection for Open-Ended Time Series. I: Proceedings of the 8th International Conference on Internet of Things, Big Data and Security. SciTePress 2023 ISBN 978-989-758-643-9.
NTNU HVL Untitled
 
5 Lee, Ming-Chang; Lin, Jia-Chun.
RoLA: A Real-Time Online Lightweight Anomaly Detection System for Multivariate Time Series. I: Proceedings of the 18th International Conference on Software Technologies. SciTePress 2023 ISBN 978-989-758-665-1. s. 313-322
NTNU HVL Untitled
 
6 Lee, Ming-Chang; Lin, Jia-Chun; Stolz, Volker.
NP-Free: A Real-Time Normalization-free and Parameter-tuning-free Representation Approach for Open-ended Time Series. I: 2023 IEEE 47th Annual Computers, Software, and Applications Conference (COMPSAC). IEEE conference proceedings 2023 ISBN 979-8-3503-2697-0. s. 334-339
NTNU HVL Untitled
 
7 Toor, Aafan Ahmad; Lin, Jia-Chun; Gran, Ernst Gunnar; Lee, Ming-Chang.
An Explainable Deep Learning-based Approach for Multivariate Time Series Anomaly Detection in IoT. Frontiers of Information Technology (FIT); 2023-12-11 - 2023-12-12
NTNU HVL Untitled
 
2022
8 Zoto, Erjon; Lin, Jia-Chun.
Towards Enhancing Student Learning Through Improving Teaching Activities in an Interdisciplinary Context – Lessons learned and the way forward. Interdisciplinary teamwork skills for the 21st century (Its21); 2022-06-16 - 2022-06-17
NTNU Untitled
 
2021
9 Lee, Ming-Chang; Lin, Jia-Chun; Gran, Ernst Gunnar.
DistTune: Distributed Fine-Grained Adaptive Traffic Speed Prediction for Growing Transportation Networks. Transportation Research Record 2021 ;Volum 2675.(10) s. 211-227
NTNU Untitled
 
10 Lee, Ming-Chang; Lin, Jia-Chun; Gran, Ernst Gunnar.
How Far Should We Look Back to Achieve Effective Real-Time Time-Series Anomaly Detection?. I: Advanced Information Networking and Applications: Proceedings of the 35th International Conference on Advanced Information Networking and Applications (AINA-2021), Volume 1. Springer 2021 ISBN 978-3-030-75099-2. s. 136-148
NTNU Untitled
 
11 Lee, Ming-Chang; Lin, Jia-Chun; Gran, Ernst Gunnar.
SALAD: Self-Adaptive Lightweight Anomaly Detection for Real-time Recurrent Time Series. I: Proceedings of 2021 IEEE 45th Annual Computers, Software, and Applications Conference (COMPSAC). IEEE conference proceedings 2021 ISBN 9781665424639. s. 344-349
NTNU Untitled
 
2020
12 Lee, Ming-Chang; Lin, Jia-Chun.
DALC: Distributed Automatic LSTM Customization for Fine-Grained Traffic Speed Prediction. The 34th International Conference on Advanced Information Networking and Applications (AINA 2020); 2020-04-15 - 2020-04-17
NTNU Untitled
 
13 Lee, Ming-Chang; Lin, Jia-Chun; Gran, Ernst Gunnar.
Distributed Fine-Grained Traffic Speed Prediction for Large-Scale Transportation Networks based on Automatic LSTM Customization and Sharing. The 26th International European Conference on Parallel and Distributed Computing (EURO-PAR 2020); 2020-08-24 - 2020-08-28
NTNU Untitled
 
14 Lee, Ming-Chang; Lin, Jia-Chun; Gran, Ernst Gunnar.
RePAD: Real-Time Proactive Anomaly Detection for Time Series. I: Proceedings of the 34th International Conference on Advanced Information Networking and Applications (AINA 2020). Springer 2020 ISBN 978-3-030-44041-1. s. 1291-1302
NTNU Untitled
 
15 Lee, Ming-Chang; Lin, Jia-Chun; Gran, Ernst Gunnar.
Distributed Fine-Grained Traffic Speed Prediction for Large-Scale Transportation Networks based on Automatic LSTM Customization and Sharing. I: Euro-Par 2020: Euro-Par 2020: Parallel Processing. Springer 2020 ISBN 978-3-030-57675-2. s. 234-247
NTNU Untitled
 
16 Lee, Ming-Chang; Lin, Jia-Chun; Gran, Ernst Gunnar.
ReRe: A Lightweight Real-Time Ready-to-Go Anomaly Detection Approach for Time Series. I: 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC). IEEE conference proceedings 2020 ISBN 978-1-7281-7303-0. s. 322-327
NTNU Untitled
 
17 Lee, Ming-Chang; Lin, Jia-Chun.
DALC: Distributed Automatic LSTM Customization for Fine-Grained Traffic Speed Prediction. I: Proceedings of the 34th International Conference on Advanced Information Networking and Applications (AINA 2020). Springer 2020 ISBN 978-3-030-44041-1. s. 164-175
NTNU Untitled
 
18 Lin, Jia-Chun; Lee, Ming-Chang; Yu, Ingrid Chieh; Johnsen, Einar Broch.
A Configurable and Executable Model of Spark Streaming on Apache YARN. International Journal of Grid and Utility Computing (IJGUC) 2020 ;Volum 11.(2) s. 185-195
UiO NTNU Untitled
 
19 Owe, Olaf; Fazeldehkordi, Elahe; Lin, Jia-Chun.
A Framework for Flexible Program Evolution and Verification of Distributed Systems. Communications in Computer and Information Science (CCIS) 2020 ;Volum 1161 CCIS. s. 320-349
NTNU UiO Untitled
 
2019
20 Lee, Ming-Chang; Lin, Jia-Chun; Owe, Olaf.
PDS: Deduce elder privacy from smart homes. Internet of Things: Engineering Cyber Physical Human Systems 2019 ;Volum 7. s. -
UiO NTNU Untitled
 
21 Owe, Olaf; Lin, Jia-Chun; Fazeldehkordi, Elahe.
A Flexible Framework for Program Evolution and Verification. I: Modelsward 2019. SciTePress 2019 ISBN 978-989-758-358-2. s. 179-191
UiO Untitled
 
2018
22 Lee, Ming-Chang; Lin, Jia-Chun; Owe, Olaf.
EasyChoose: A Continuous Feature Extraction and Review Highlighting Scheme on Hadoop YARN. Advanced Information Networking and Applications 2018 ;Volum 2018-May. s. 996-1002
UiO Untitled
 
23 Lee, Ming-Chang; Lin, Jia-Chun; Owe, Olaf.
Privacy Mining from IoT-based Smart Homes (Online version). Lecture Notes on Data Engineering and Communications Technologies 2018 s. 304-315
UiO Untitled
 
24 Lin, Jia-Chun; Lee, Ming-Chang; Yu, Ingrid Chieh; Johnsen, Einar Broch.
Modeling and simulation of spark streaming. Advanced Information Networking and Applications 2018 ;Volum 2018-May. s. 407-413
UiO Untitled
 
2017
25 Lin, Jia-Chun; Mauro, Jacopo; Røst, Thomas Brox; Yu, Ingrid Chieh.
A model-Based Scalability Optimization Methodology for Cloud Applications. Proceedings of the IEEE 2017 s. 163-170
UiO Untitled
 
2016
26 Johnsen, Einar Broch; Lin, Jia-Chun; Yu, Ingrid Chieh.
AWS deployments using model-based predictions. the 7th International Symposium on Leveraging Applications of Formal Methods, Verification and Validation (ISoLA 2016); 2016-10-05 - 2016-10-14
UiO Untitled
 
27 Johnsen, Einar Broch; Lin, Jia-Chun; Yu, Ingrid Chieh.
Comparing AWS Deployments Using Model-Based Predictions. Lecture Notes in Computer Science (LNCS) 2016 ;Volum 9953. s. 482-496
UiO Untitled
 
28 Lee, Ming-Chang; Lin, Jia-Chun; Yahyapour, Ramin.
Hybrid Job-Driven Scheduling for Virtual MapReduce Clusters. IEEE Transactions on Parallel and Distributed Systems 2016 ;Volum 27.(6) s. 1687-1699
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29 Lin, Jia-Chun; Lee, Ming-Chang.
Performance evaluation of job schedulers on Hadoop YARN. Concurrency and Computation 2016 ;Volum 28.(9) s. 2711-2728
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30 Lin, Jia-Chun; Leu, Fang-Yie; Chen, Ying-Ping.
Impacts of Task Re-Execution Policy on MapReduce Jobs. Computer journal 2016 ;Volum 59.(5) s. 701-714
UiO Untitled
 
31 Lin, Jia-Chun; Yu, Ingrid Chieh; Johnsen, Einar Broch; Lee, Ming-Chang.
ABS-YARN: A Formal Framework for Modeling Hadoop YARN Clusters. 19th International Conference on Fundamental Approaches to Software Engineering; 2016-04-02 - 2016-04-08
UiO Untitled
 
32 Lin, Jia-Chun; Yu, Ingrid Chieh; Johnsen, Einar Broch; Lee, Ming-Chang.
ABS-YARN: A Formal Framework for Modeling Hadoop YARN Clusters. I: Fundamental Approaches to Software Engineering: 19th International Conference, FASE 2016, Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2016, Eindhoven, The Netherlands, April 2-8, 2016, Proceedings. Springer 2016 ISBN 3662496658. s. 49-65
UiO Untitled
 
2015
33 Owe, Olaf; Lin, Jia-Chun; Yu, Ingrid Chieh.
A Formal Framework Supporting Unrestricted Software Changes in Object-Oriented Concurrent Systems. 27th Nordic Workshop on Programming Theory (NWPT 2015); 2015-10-21 - 2015-10-23
UiO Untitled