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The future of industrial communication: Automation networks in the era of the internet of things and Industry 4.0
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Using smart edge IoT devices for safer, rapid response with industry IoT control operations
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Gyro drift correction for an indirect Kalman filter based sensor fusion driver
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C.-G. Lee, N.-N. Dao, S. Jang, D. Kim, Y. Kim, and S. Cho, "Gyro drift correction for an indirect Kalman filter based sensor fusion driver," Sensors, vol. 16, no. 6, p. 864, 2016.
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Using social internet of things (SIoT) demand side management on the plant
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J. Eom, L. Park, W. Na, N.-N. Dao, S. M. Jang, Y. H. Kim, J. W. Lee, and S. Cho, "Using social Internet of Things (SIoT) demand side management on the plant," in IEEE International Conference on Ubiquitous and Future Networks (ICUFN), 2016, pp. 685-687.
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Mitigating wifi interference to improve throughput for in-vehicle infotainment networks
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W. Na, N.-N. Dao, and S. Cho, "Mitigating wifi interference to improve throughput for in-vehicle infotainment networks," IEEE Wireless Communications, vol. 23, no. 1, pp. 22-28, 2016.
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IEEE Wireless Communications
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Trend analyses of authentication in peer aware communication (PAC)
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Y. Kim, N.-N. Dao, J. Lee, and S. Cho, "Trend analyses of authentication in peer aware communication (PAC)," in IEEE International Conference on Ubiquitous and Future Networks (ICUFN), 2017, pp. 1053-1055.
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Data processing requirements of Industry 4.0-use cases for big data applications
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Internet of things in the 5G era: Enablers, architecture, and business models
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M. R. Palattella, M. Dohler, A. Grieco, G. Rizzo, J. Torsner, T. Engel, and L. Ladid, "Internet of things in the 5G era: Enablers, architecture, and business models," IEEE Journal on Selected Areas in Communications, vol. 34, no. 3, pp. 510-527, 2016.
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Adaptive MCS selection and resource planning for energy-efficient communication in LTE-M based IoT sensing platform
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N.-N. Dao, M. Park, J. Kim, and S. Cho, "Adaptive MCS selection and resource planning for energy-efficient communication in LTE-M based IoT sensing platform," PloS one, vol. 12, no. 8, p. e0182527, 2017.
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Adaptive suspicious prevention for defending DoS attacks in SDN-based convergent networks
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N.-N. Dao, J. Kim, M. Park, and S. Cho, "Adaptive suspicious prevention for defending DoS attacks in SDN-based convergent networks," PloS one, vol. 11, no. 8, p. e0160375, 2016.
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Multi-access Edge Computing
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Adaptive resource balancing for serviceability maximization in fog radio access networks
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N.-N. Dao, J. Lee, D.-N. Vu, J. Paek, J. Kim, S. Cho, K.-S. Chung, and C. Keum, "Adaptive resource balancing for serviceability maximization in fog radio access networks," IEEE Access, vol. 5, pp. 14 548-14 559, 2017.
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Reliable multicasting service for densely deployed military sensor networks
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W. Na, N.-N. Dao, and S. Cho, "Reliable multicasting service for densely deployed military sensor networks," International Journal of Distributed Sensor Networks, vol. 11, no. 8, p. 341912, 2015.
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On multi-access edge computing: A survey of the emerging 5G network edge architecture & orchestration
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A feasible method to combat against DDoS attack in SDN network
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N.-N. Dao, J. Park, M. Park, and S. Cho, "A feasible method to combat against DDoS attack in SDN network," in IEEE International Conference on Information Networking (ICOIN), 2015, pp. 309-311.
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Clarifying fog computing and networking: 10 questions and answers
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M. Chiang, S. Ha, I. Chih-Lin, F. Risso, and T. Zhang, "Clarifying fog computing and networking: 10 questions and answers," IEEE Communications Magazine, vol. 55, no. 4, pp. 18-20, 2017.
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