Welkom...

dr. D.V. Le Viet Duc (Duc)

Onderzoeker

Expertises

Sensors
Animals
Classifiers
Smartphones
Experiments
Acoustic Waves
Problem-Based Learning
Feature Extraction
Seizures
Predictions
Problem-Based Learning
Ubiquitous Computing
Dirichlet Process
Heuristics
Sensor Networks
Testing
Problem-Based Learning
Pipe
Adaptive Systems
Context
Sampling
Uncertainty
Communication
Mobile Phones
Community
Adaptive Systems
Seizures
Learning
Reinforcement Learning
Network Protocols
Body Sensor Networks

Publicaties

Recent
Nguyen, T., Le Viet Duc, D. V., Zhang, Q., & Karunanithi, M. (2017). Dirichlet Process Gaussian Mixture Model for Activity Discovery in Smart Homes with Ambient Sensors. In EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (Mobiquitous)
Le Viet Duc, D. V., & Havinga, P. J. M. (2017). SoLoc: Self-organizing indoor localization for unstructured and dynamic environments. In 2017 International Conference on Indoor Positioning and Indoor Navigation (IPIN) IEEE. DOI: 10.1109/IPIN.2017.8115900
Kamminga, J. W., Bisby, H. C., Le, D. V., Meratnia, N., & Havinga, P. J. M. (2017). Generic online animal activity recognition on collar tags. In UbiComp'17: Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers (pp. 597-606). New York, NY: ACM Press. DOI: 10.1145/3123024.3124407
Karuppiah Ramachandran, V. R., Le Viet Duc, L. D., Meratnia, N., & Havinga, P. J. M. (2017). DiNAMAC: A disruption tolerant, reinforcement learning-based Mac protocol for implantable body sensor networks. 1806-1814. Paper presented at 3rd IEEE International Conference on Internet of People 2017, San Francisco, United States.
Nguyen, T., Nguyen, V., Salim, F., Le Viet Duc, L. D., & Phung, D. (2017). A Simultaneous Extraction of Context and Community from pervasive signals using nested Dirichlet process. Pervasive and Mobile Computing, 38, 396-417. DOI: 10.1016/j.pmcj.2016.08.019
van Kleunen, W. A. P., Le Viet Duc, L. D., & Havinga, P. J. M. (2016). Calibration-Free Signal-Strength Localization using Product-Moment Correlation. In Proceedings of the 13th IEEE International Conference on Mobile Ad hoc and Sensor Systems (IEEE MASS 2016) (pp. 210-218). USA: IEEE Computer Society. DOI: 10.1109/MASS.2016.17
Le Viet Duc, D. V., Kamminga, J. W., Scholten, J., & Havinga, P. J. M. (2016). Error Bounds for Localization with Noise Diversity. In V. D. Le (Ed.), 2016 International Conference on Distributed Computing in Sensor Systems (DCOSS) (pp. 83-92). IEEE Communications Society. DOI: 10.1109/DCOSS.2016.18
Le Viet Duc, D. V., Kamminga, J. W., Scholten, J., & Havinga, P. J. M. (2016). Nondeterministic Sound Source Localization with Smartphones in Crowdsensing. In V. D. Le, & L. D. Le Viet Duc (Eds.), Proceedings of the 5th CoSDEO workshop on Contact-Free Ambient Sensing, Localization and Tracking, CoSDEO 2016 (pp. 279-285). USA: IEEE Computer Society. DOI: 10.1109/PERCOMW.2016.7457115
Le Viet Duc, L. D., Scholten, J., Havinga, P. J. M., & Ngo, H. (2014). Location-based data dissemination with human mobility using online density estimation. In Eleventh Annual IEEE Consumer Communications & Networking Conference, CCNC 2014 (pp. 450-457). USA: IEEE Computer Society. DOI: 10.1109/CCNC.2014.6866609
Le Viet Duc, D. V., Scholten, J., & Havinga, P. J. M. (2014). Online Change Detection for Energy-Efficient Mobile Crowdsensing. In I. Awan, M. Younas, X. Franch, & C. Quer (Eds.), Mobile Web Information Systems: 11th International Conference on Mobile Web and Information Systems, MobiWIS 2014 (pp. 1-16). (Lecture Notes in Computer Science; Vol. 8640). London: Springer. DOI: 10.1007/978-3-319-10359-4_1
Le Viet Duc, L. D., Scholten, J., & Havinga, P. J. M. (2013). FLEAD: online frequency likelihood estimation anomaly detection for mobile sensing. In Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp '13 (pp. 1159-1166). New York: Association for Computing Machinery. DOI: 10.1145/2494091.2499774
Le Viet Duc, L. D. (2013). Distributed Opportunistic Sensing in Mobile Phone Sensor Networks. In IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops) (pp. 427-428). USA: IEEE Communications Society. DOI: 10.1109/PerComW.2013.6529535

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Universiteit Twente
Faculteit Elektrotechniek, Wiskunde en Informatica
Zilverling (gebouwnr. 11), kamer 5007
Hallenweg 19
7522NH  Enschede

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Universiteit Twente
Faculteit Elektrotechniek, Wiskunde en Informatica
Zilverling  5007
Postbus 217
7500 AE Enschede