Understanding and Applying MMS Programming
Industrial Sensors and Controls in Communication Networks
Industrial/Defense Convergence Real-Time Communication Network Technology
Fundamentals and Practice of Network-Based Embedded Systems
295.
Tran-Dang, H., & Kim, D.-S. (2025). Digital twin-empowered intelligent computation offloading for edge computing in the era of 5G and beyond: A state-of-the-art survey. ICT Express. https://doi.org/10.1016/j.icte.2024.03.004
294.
Izuazu, U. U., Nwakanma, C. I., & Kim, D.-S. (2025). Explainable and perturbation-resilient model for cyber-threat detection in industrial control systems networks. Discover Internet of Things, 5(1), 9. https://doi.org/10.1007/s43926-024-00009-9
293.
Ajakwe, S. O., Okoloegbo, C. A., Lee, J. M., & Kim, D.-S. (2025). Machine learning models for drone security: Cognitive versus cyber intelligence for safety operations. In Machine learning for drone-enabled IoT networks: Opportunities, developments, and trends (pp. 121–139). IEEE Press. https://doi.org/10.1109/MPRV.2025.3456788
292.
Alam, M. M., Dini, M. A., & Kim, D.-S. (2025). TMNet: Transformer-fused multimodal framework for emotion recognition via EEG and speech. ICT Express. https://doi.org/10.1016/j.icte.2024.03.003
291.
Jang, M.-H., Kim, H.-J., Go, Y.-K., Choi, N.-J., Lee, J.-H., Yu, J.-H., Lee, J.-M., Jun, T.-S., & Kim, D.-S. (2025). Design and implementation of network simulator for high-level naval ship system. IEEE Access, 90612–90625. https://doi.org/10.1109/ACCESS.2025.3456783
290.
Ryu, W. J., Lee, J.-M., & Kim, D.-S. (2025). Multi-agent quantum reinforcement learning for adaptive transmission in NOMA-based irregular repetition slotted ALOHA. IEEE Open Journal of the Communications Society, 4405–4420. https://doi.org/10.1109/OJCOMS.2025.3456781
289.
Babayomi, O., Madonski, R., Zhang, Z., Rodriguez, J., Davidson, I., & Kim, D.-S. (2025). Robust model predictive control of converter-based microgrids. IEEE Transactions on Power Electronics, 1–23. https://doi.org/10.1109/TPEL.2024.3456780
288.
Amaizu, G. C., Sai, A. M. V. V., Bhardwaj, S., Kim, D.-S., Siddula, M., & Li, Y. (2025). FedViTBloc: Secure and privacy-enhanced medical image analysis with federated vision transformer and blockchain. High-Confidence Computing, 100302. https://doi.org/10.1016/j.hcc.2024.100302
287.
Kim, D.-S., & Syamsul, R. (2025). Integrating machine learning with proof-of-authority-and-association for dynamic signer selection in blockchain networks. ICT Express, 11(2), 258–263. https://doi.org/10.1016/j.icte.2024.03.002
286.
Rizal, S., & Kim, D.-S. (2025). Enhancing blockchain consensus mechanisms: A comprehensive survey on machine learning applications and optimizations. Blockchain: Research and Applications, 100302. https://doi.org/10.1016/j.bcra.2024.100302
285.
Nakayiza, H. L., Ahakonye, L. A. C., Kim, D. S., & Lee, J. M. (2025). Blockchain-Enhanced Feature Engineered Data Falsification Detection in 6G In-Vehicle Networks. IEEE Internet of Things Journal.
284.
Kim, D. S., Tuli, E. A., Saviour, I. I., Somrat, M. M. H., & Pham, X. Q. (2025). Blockchain-as-a-Service: A Pure Chain Approach. Blockchain: Research and Applications, 100397.
283.
Mukisa, K. J., Ahakonye, L. A. C., Kim, D. S., & Lee, J. M. (2025). Blockchain-Augmented FL IDS for Non-IID Edge-IoT Data Using Trimmed Mean Aggregation. IEEE Internet of Things Journal.
282.
Okafor, C. I., Ahakonye, L. A. C., Lee, J. M., & Kim, D. S. (2025). PureQuantum: Towards A Scalable Blockchain Channel Security in IoT Networks. Blockchain: Research and Applications, 100372.
281.
Njoku, J. N., Nkoro, E. C., Medina, R. M., Nwakanma, C. I., Lee, J. M., & Kim, D. S. (2025). Leveraging digital twin technology for battery management: A case study review. IEEE access.
280.
Golam, M., Tayeb, A. M., Khatun, M. A., Rahaman, M. F., Aouto, A., Angelo, O. P., ... & Kim, J. H. (2025). BlackIceNet: explainable AI-Enhanced multimodal for black ice detection to prevent accident in intelligent vehicles. IEEE Internet of Things Journal.
279.
Ihekoronye, V. U., Ajakwe, S. O., Lee, J. M., & Kim, D. S. (2024). DroneGuard: an explainable and efficient machine learning framework for intrusion detection in drone networks. IEEE Internet of Things Journal.
278.
Rahaman, M. F., Golam, M., Subhan, M. R., Tuli, E. A., Kim, D. S., & Lee, J. M. (2024). Meta-governance: Blockchain-driven metaverse platform for mitigating misbehavior using smart contract and ai. IEEE Transactions on Network and Service Management, 21(4), 4024-4038.
277.
Njoku, Judith Nkechinyere, Cosmas Ifeanyi Nwakanma, and Dong-Seong Kim. "Explainable data-driven digital twins for predicting battery states in electric vehicles." (2024).
276.
Njoku, J. N., Nwakanma, C. I., Lee, J. M., & Kim, D. S. (2024). Evaluating regression techniques for service advisor performance analysis in automotive dealerships. Journal of Retailing and Consumer Services, 80, 103933.
275.
Tuli, E. A., Lee, J. M., & Kim, D. S. (2024). Leveraging quantum blockchain for secure multiparty space sharing and authentication on specialized metaverse platform. Scientific Reports, 14(1), 25776.
274.
Golam, M., Tuli, E. A., Alief, R. N., Kim, D. S., & Lee, J. M. (2024). Meta-learning: A digital learning management framework using blockchain for metaverses. IEEE Access, 12, 92774-92786.
273.
Golam, M., Rahaman, M. F., Subhan, M. R., Kim, D. S., & Lee, J. M. (2025). BUS-Health: Blockchain and UAV Integrated Smart Medical Supplies. Blockchain: Research and Applications, 100341.
272.
Njoku, J. N., Nwakanma, C. I., Lee, J. M., & Kim, D. S. (2023). Enhancing Security and Accountability in Autonomous Vehicles through Robust Speaker Identification and Blockchain-Based Event Recording. Electronics, 12(24), 4998.
271.
Bhardwaj, S., Kim, D. H., & Kim, D. S. (2024). Federated learning based modulation classification for multipath channels. Parallel Computing, 120, 103083.
270.
Ihekoronye, V. U., Nwakanma, C. I., Kim, D. S., & Lee, J. M. (2024). ASR-Fed: agnostic straggler-resilient semi-asynchronous federated learning technique for secured drone network. International Journal of Machine Learning and Cybernetics, 15(11), 5303-5319.
269.
Nkoro, E. C., Njoku, J. N., Nwakanma, C. I., Lee, J. M., & Kim, D. S. (2025). MetaWatch: Trends, Challenges, and Future of Network Intrusion Detection in the Metaverse. IEEE Internet of Things Journal.
268.
Nkoro, E. C., Njoku, J. N., Nwakanma, C. I., Lee, J. M., & Kim, D. S. (2024). Zero-trust marine cyberdefense for iot-based communications: An explainable approach. Electronics, 13(2), 276.
267.
Nkoro, E. C., Nwakanma, C. I., Lee, J. M., & Kim, D. S. (2024). Detecting cyberthreats in metaverse learning platforms using an explainable DNN. Internet of Things, 25, 101046.
266.
Tuli, E. A., Lee, J. M., & Kim, D. S. (2024). Integration of quantum technologies into metaverse: Applications, potentials, and challenges. IEEE Access, 12, 29995-30019.
265.
Tuli, E. A., Akter, R., Lee, J. M., & Kim, D. S. (2024). Whale optimization‐based PTS scheme for PAPR reduction in UFMC systems. IET Communications, 18(2), 187-195.
264.
Bhardwaj, S., Kim, D. H., & Kim, D. S. (2024). Dragonfly Interaction Algorithm for Optimization of Queuing Delay in Industrial Wireless Networks. Journal of Bionic Engineering, 21(1), 447-485.
263.
Akter, R., Golam, M., Doan, V. S., Lee, J. M., & Kim, D. S. (2022). Iomt-net: Blockchain-integrated unauthorized uav localization using lightweight convolution neural network for internet of military things. IEEE Internet of Things Journal, 10(8), 6634-6651.
262.
Bhardwaj, S., Kim, D. H., & Kim, D. S. (2024). Federated learning-based resource allocation for v2x communications. IEEE Transactions on Intelligent Transportation Systems.
261.
Gifar Arif Haryadi, Allwinnaldo, Muhammad Rasyid Redha Ansori, Jae Min Lee, Dong-Seong Kim,"PureRx: An NFT-Prescription Management for Efficient and Secure Healthcare System", IEEE Transactions on Big Data Journal, 2023 (Under Review)
260.
Zainudin, A., Putra, M. A. P., Kim, D. S., & Lee, J. M. (2025). Collaborative edge learning-assisted interactive Avatar generation framework for IoT-driven metaverse. Internet of Things, 101639.
259.
Tran-Dang, H., Kwon, K. H., & Kim, D. S. (2023). Bandit learning-based distributed computation in fog computing networks: A survey. IEEE Access, 11, 104763-104774.
258.
Zainudin, A., Putra, M. A. P., Alief, R. N., Akter, R., Kim, D. S., & Lee, J. M. (2024). Blockchain-inspired collaborative cyber-attacks detection for securing metaverse. IEEE Internet of Things Journal, 11(10), 18221-18236.
257.
Zainudin, A., Akter, R., Kim, D. S., & Lee, J. M. (2023). Federated learning inspired low-complexity intrusion detection and classification technique for sdn-based industrial cps. IEEE Transactions on Network and Service Management, 20(3), 2442-2459.
256.
255.
Putra, M. A. P., Karna, N. B. A., Zainudin, A., Kim, D. S., & Lee, J. M. (2024). TSFed: A three-stage optimization mechanism for secure and efficient federated learning in industrial IoT networks. Internet of Things, 27, 101287.
254.
Williams-Paul Nwadiugwu, Dong-Seong Kim, W. Ejaz, A. Anpalagan, MAD-DDS: Memory-efficient Automatic Discovery Data Distribution Service for Large-Scale Distributed Control Network, IET Communications, pp. 1-15, 2023, https://doi.org/10.1049/cmu2.12645
253.
Ahakonye, L. A. C., Nwakanma, C. I., Lee, J. M., & Kim, D. S. (2024). Machine learning explainability for intrusion detection in the industrial internet of things. IEEE Internet of Things Magazine, 7(3), 68-74.
252.
Made Adi Paramartha Putra, Ade Pitra Hermawan, Dong-Seong Kim and Jae-Min Lee, Data Prediction-Based Energy-Efficient Architecture in Industrial IoT , IEEE Sensors Journal, vol. 23, no. 14, pp. 15856-15866, July 15, 2023, , doi: 10.1109/JSEN.2023.3280485
251.
Gabriel Avelino R. Sampedro, Syifa Maliah Rachmawati, Dong-Seong Kim, and Jae-Min Lee, Exploring Machine Learning-Based Fault Monitoring for Polymer-Based Additive Manufacturing: Challenges and Opportunities , Sensors, Vol. 22, no. 23, 9446, 2022, doi: https://doi.org/10.3390/s22239446
250.
Ajakwe, S. O., Saviour, I. I., Ihekoronye, V. U., Nwankwo, O. U., Dini, M. A., Uchechi, I. U., ... & Lee, J. M. (2024). Medical IoT Record Security and Blockchain: Systematic Review of Milieu, Milestones, and Momentum. Big Data and Cognitive Computing, 8(9), 121.
249.
Simeon Okechukwu Ajakwe, Igboanusi Ikechi Saviour, Jung-Hyeon Kim, Dong-Seong Kim, Jae Min Lee. iBANDA: Incognito Blockchain-Assisted Network for Drone Authentication and Logistics Operations IEEE Intelligent Transport System”, (Under Review)
248.
Sanjay Bhardwaj, Da-Hye Kim and Dong-Seong Kim,” Backscatter-Enabled CR-NOMA Based Cooperative V2X Communication with Imperfect CSI”, Vehicular Communications, volume:42, pages:100611, 2023: https://doi.org/10.1016/j.vehcom.2023.100611
247.
Ahakonye, L. A. C., Zainudin, A., Shanto, M. J. A., Lee, J. M., Kim, D. S., & Jun, T. (2024). A multi-MLP prediction for inventory management in manufacturing execution system. Internet of Things, 26, 101156.
246.
Ajakwe, S. O., Ajakwe, I. U., Jun, T., Kim, D. S., & Lee, J. M. (2023). CIS-WQMS: Connected intelligence smart water quality monitoring scheme. Internet of Things, 23, 100800.
245.
Simeon Okechukwu Ajakwe, Dong Seong Kim, Jae Min Lee, “Drone Transportation System: Systematic Review of Security Dynamics for Smart Mobility”. IEEE Internet of Things Journal, vol. 10, no. 16, pp. 14462-14482, August 15, 2023, doi: 10.1109/JIOT.2023.3266843
244.
Muhammad Rasyid Redha Ansori, Allwinnaldo, Revin Naufal Alief, Ikechi Saviour Igboanusi, Jae Min Lee, Dong-Seong Kim, HADES: Hash-based Audio Copy Detection System for Copyright Protection in Decentralized Music Sharing, in IEEE Transactions on Network and Service Management, doi: 10.1109/TNSM.2023.3241610.
243.
Simeon Okechukwu Ajakwe, Vivian Ukamaka Ihekoronye, Dong-Seong Kim, Jae Min Lee Synergic Multimodal Malicious Drone Surveillance in Data-Centric Drone Transportation Network IEEE ITS (Rejected but to Resubmit)
242.
Simeon Okechukwu Ajakwe, Vivian Ukamaka Ihekoronye, Dong-Seong Kim, and Jae-Min Lee. 2023. ALIEN: Assisted Learning Invasive Encroachment Neutralization for Secured Drone Transportation System Sensors 23, no. 3: 1233. https://doi.org/10.3390/s23031233
241.
Nwakanma, C. I., Ahakonye, L. A. C., Njoku, J. N., Odirichukwu, J. C., Okolie, S. A., Uzondu, C., ... & Kim, D. S. (2023). Explainable artificial intelligence (XAI) for intrusion detection and mitigation in intelligent connected vehicles: A review. Applied Sciences, 13(3), 1252.
240.
Ahakonye, L. A. C., Nwakanma, C. I., Lee, J. M., & Kim, D. S. (2024). Low computational cost convolutional neural network for smart grid frequency stability prediction. Internet of Things, 25, 101086.
239.
Vivian Ukamaka Ihekoronye, Simeon Okechukwu Ajakwe, Dong-Seong Kim, Jae Min Lee Efficient Intrusion Detection Model for Securing the Communication Links of Internet of Drone Network IEEE Internet of Things (Under review)
238.
Vivian Ukamaka Ihekoronye, Simeon Okechukwu, Dong-Seong Kim, Jae Min Lee Enhanced Deep Learning Scheme Based On PANet for Real-Time Detection of Tomato Diseases IEEE Intelligent Systems (Under review)
237.
Vivian Ukamaka Ihekoronye, Simeon Okechukwu Ajakwe, Dong-Seong Kim, Jae Min Lee RF-RSCV: Robust Security Framework Against Intrusions in Internet of Drone Communication Networks Journal of Communications and Networks (Under review)
236.
Made Adi Paramartha Putra, Ade Pitra Hermawan, Cosmas Ifeanyi Nwakanma, Dong-Seong Kim, Jae-Min Lee, FDPR: A Novel Fog Data Prediction and Recovery using Efficient DL in IoT Networks , IEEE Internet of Things Journal, vol. 10, no. 19, pp. 16895-16906, October 2023, doi: 10.1109/JIOT.2023.3271026
235.
Putra, M. A. P., Alief, R. N., Rachmawati, S. M., Sampedro, G. A., Kim, D. S., & Lee, J. M. (2024). Proof-of-authority-based secure and efficient aggregation with differential privacy for federated learning in industrial IoT. Internet of Things, 25, 101107.
234.
Goodness Oluchi Anyanwu, Cosmas Ifeanyi Nwakanma, Jae-Min Lee, Dong-Seong Kim, RBF-SVM Kernel-based Model for Detecting DDoS Attacks in SDN Integrated Vehicular Network , Ad Hoc Networks, Vol. 140, No. 8, March 2023, 103026, https://doi.org/10.1016/j.adhoc.2022.103026
233.
Goodness Oluchi Anyanwu, Cosmas Ifeanyi Nwakanma, Jae-Min Lee, Dong-Seong Kim, Falsification Detection System for IoV using Randomized Search Optimization Ensemble Algorithm , IEEE Transactions on Intelligent Transport Systems, Vol. 24, no. 4, pp. 4158-4172, April 2023. Link: https://ieeexplore.ieee.org/document/10012276, doi: 10.1109/TITS.2022.3233536
232.
Ahakonye, L. A. C., Amaizu, G. C., Nwakanma, C. I., Lee, J. M., & Kim, D. S. (2024). Classification and characterization of encoded traffic in SCADA network using hybrid deep learning scheme. Journal of Communications and Networks, 26(1), 65-79.
231.
Syifa Maliah Rachmawati, Made Adi Paramartha Putra, Jae Min Lee, and Dong-Seong Kim, Digital Twin-Enabled 3D Printer Fault Detection for Smart Additive Manufacturing, Engineering Applications of Artificial Intelligence, Volume 124, September 2023, 106430, https://doi.org/10.1016/j.engappai.2023.106430
230.
Putra, M. A. P., Putri, A. R., Zainudin, A., Kim, D. S., & Lee, J. M. (2023). ACS: Accuracy-based client selection mechanism for federated industrial IoT. Internet of Things, 21, 100657.
229.
Love Allen Chijioke Ahakonye, Cosmas Ifeanyi Nwakanma, Jae-Min Lee, Dong-Seong Kim, A Contemporary Survey of SCADA Intrusion Detection Frameworks: Approaches, Challenges, and Open Issues , IEEE Survey and Tutorials (R)
228.
Ahakonye, L. A. C., Nwakanma, C. I., Lee, J. M., & Kim, D. S. (2023). Trees Bootstrap Aggregation for Detection and Characterization of IoT-SCADA Network Traffic. IEEE Transactions on Industrial Informatics, 20(4), 5217-5228.
227.
Ahakonye, L. A. C., Nwakanma, C. I., Lee, J. M., & Kim, D. S. (2023). Agnostic CH-DT technique for SCADA network high-dimensional data-aware intrusion detection system. IEEE Internet of Things Journal, 10(12), 10344-10356.
226.
Ahakonye, L. A. C., Nwakanma, C. I., Lee, J. M., & Kim, D. S. (2023). SCADA intrusion detection scheme exploiting the fusion of modified decision tree and Chi-square feature selection. Internet of Things, 21, 100676.
225.
Njoku, J. N., Nwakanma, C. I., Amaizu, G. C., & Kim, D. S. (2023). Prospects and challenges of Metaverse application in data‐driven intelligent transportation systems. IET Intelligent Transport Systems, 17(1), 1-21.
224.
Njoku, J. N., Nkoro, E. C., Medina, R. M., Nwakanma, C. I., Lee, J. M., & Kim, D. S. (2025). Leveraging digital twin technology for battery management: A case study review. IEEE access.
223.
Ajakwe, S. O., Kim, D. S., & Lee, J. M. (2023). Drone transportation system: Systematic review of security dynamics for smart mobility. IEEE Internet of Things Journal, 10(16), 14462-14482.
222.
Vivian Ukamaka Ihekoronye, Simeon Okechukwu Ajakwe, Dong-Seong Kim, Jae Min Lee Vision-Based Framework for Aerial Recognition of Drones and Birds in Ground-to-Air Networks Computer Vision and Image Understanding Journal ( S)
221.
Ryu, W. J., Kim, J. W., & Kim, D. S. (2022). Resource allocation in downlink VLC-NOMA systems for factory automation scenario. Sensors, 22(23), 9407.
220.
Huynh-The, T., Pham, Q. V., Pham, X. Q., Nguyen, T. T., Han, Z., & Kim, D. S. (2023). Artificial intelligence for the metaverse: A survey. Engineering Applications of Artificial Intelligence, 117, 105581.
219.
Pham, X. Q., Huynh-The, T., & Kim, D. S. (2023). Joint partial offloading and resource allocation for parked vehicle-assisted multi-access edge computing. IEEE Transactions on Emerging Topics in Computing, 12(3), 918-923.
218.
Huynh-The, T., Nguyen, T. V., Pham, Q. V., da Costa, D. B., Kwon, G. H., & Kim, D. S. (2022). Efficient convolutional networks for robust automatic modulation classification in OFDM-based wireless systems. IEEE Systems Journal, 17(1), 964-975.
217.
Vivian Ukamaka Ihekoronye, Simeon Okechukwu Ajakwe, Dong-Seong Kim, Jae Min Lee RF-RSCV: Robust Security Framework Against Intrusions in Internet of Drone Communication Networks Journal of Communications and Networks (Submitted)
216.
Sampedro, G. A. R., Agron, D. J. S., Amaizu, G. C., Kim, D. S., & Lee, J. M. (2022). Design of an in-process quality monitoring strategy for fdm-type 3d printer using deep learning. Applied Sciences, 12(17), 8753.
215.
Sanjay Bhardwaj, Da-Hye Kim and Dong-Seong Kim,” C-DRN Based Modulation Classification for Beyond 5G in Multipath Fading Channels”, IEEE Transction of Vehicular Technology, 2022(Under Review)
214.
Bhardwaj, S., & Kim, D. S. (2023). Deep Q-learning based sparse code multiple access for ultra reliable low latency communication in industrial wireless networks. Telecommunication Systems, 83(4), 409-421.
213.
Bhardwaj, S., Kim, D. H., & Kim, D. S. (2024). Federated learning-based resource allocation for v2x communications. IEEE Transactions on Intelligent Transportation Systems.
212.
Moon, C. B., Kim, B. M., & Kim, D. S. (2022). A Circular-Based Reference Point Extraction Method for Correcting the Alignment of Round Parts. Sensors, 22(15), 5859.
211.
Sanjay Bhardwaj, Da-Hye Kim and Dong-Seong Kim,” C-DRN Based Modulation Classification for Beyond 5G in Multipath Fading Channels”, IEEE Transction of Vehicular Technology, 2022(Under Review)
210.
Sampedro, G. A., Putra, M. A. P., Lee, J. M., & Kim, D. S. (2023). Industrial internet of things-based fault mitigation for smart additive manufacturing using multi-flow bilstm. IEEE Access, 11, 99130-99142.
209.
Pham, X. Q., Huynh-The, T., Huh, E. N., & Kim, D. S. (2022). Partial computation offloading in parked vehicle-assisted multi-access edge computing: A game-theoretic approach. IEEE Transactions on Vehicular Technology, 71(9), 10220-10225.
208.
Judith Nkechinyere Njoku, Cosmas Ifeanyi Nwakanma, Gabriel Chukwunonso Amaizu, and Dong-Seong Kim, Prospects and challenges of Metaverse application in data-driven intelligent transportation systems. IET Intell. Transp. Syst. 17, 1– 21 (2023). https://doi.org/10.1049/itr2.12252
207.
Amaizu, G. C., Njoku, J. N., Lee, J. M., & Kim, D. S. (2024). Metaverse in advanced manufacturing: Background, applications, limitations, open issues & future directions. ICT Express, 10(2), 233-255.
206.
Tran-Dang, H., & Kim, D. S. (2023). Disco: Distributed computation offloading framework for fog computing networks. Journal of Communications and Networks, 25(1), 121-131.
205.
Tran-Dang, H., & Kim, D. S. (2022). A survey on matching theory for distributed computation offloading in iot-fog-cloud systems: Perspectives and open issues. IEEE Access, 10, 118353-118369.
204.
Hoa Tran-Dang, Dong-Seong Kim: DCTO: Dynamic computation task offloading in fog computing systems , IEEE transaction on Distributed and Parallel (Under Review)
203.
Made Adi Paramartha Putra, Dong-Seong Kim, and Jae-Min Lee, Adaptive LRFU Replacement Policy for Named Data Network in Industrial IoT , ICT Express, Vol. 8, no. 2, pp.258-263, June 2022, DOI: 10.1016/j.icte.2021.10.004
202.
Vivian Ukamaka Ihekoronye, Simeon Okechukwu Ajakwe, Dong-Seong Kim, Jae Min Lee Enhanced Deep Learning Scheme Based On PANet for Real-Time Detection of Tomato Diseases . IEEE Intelligent Systems (Under Review)
201.
Yohana Jayanti Aruan, Made Adi Paramartha Putra, Adinda Riztia Putri, Philip Tobianto Daely, Jae-Min Lee, Dong-Seong Kim, Jae-Min Lee, Backhaul Aggregator Design for Real-Time 3D Printer System , IEEE Communication Magazine (S)
200.
Tran-Dang, H., Bhardwaj, S., Rahim, T., Musaddiq, A., & Kim, D. S. (2022). Reinforcement learning based resource management for fog computing environment: Literature review, challenges, and open issues. Journal of Communications and Networks, 24(1), 83-98.
199.
Goodness Oluchi Anyanwu, Cosmas Ifeanyi Nwakanma, Jae-Min Lee, Dong-Seong Kim, Novel Hyper-Tuned Ensemble Random Forest Algorithm for the Detection of False Basic Safety Messages in Internet of Vehicles , ICT Express, Vol. 9, no.1, pp. 122-129, Doi: doi.org/10.1016/j.icte.2022.06.003
198.
Goodness Oluchi Anyanwu, Cosmas Ifeanyi Nwakanma, Jae-Min Lee, Dong-Seong Kim, Ensemble Random Forest-based Basic Safety Messages Falsification Detection in Internet of Vehicles. , IEEE Access (Minor Edits- Resubmit)
197.
Simeon Okechukwu Ajakwe, Cosmas Ifeanyi Nwakanma, Jae-Min Lee, Dong-Seong Kim, Key Wearable Device Technologies Parameters for Innovative Healthcare Delivery in B5G Network: A Review , IEEE Access, Vol. 10, pp. 49956-49974, May 9, 2022
196.
Sampedro, G. A. R., Agron, D. J. S., Amaizu, G. C., Kim, D. S., & Lee, J. M. (2022). Design of an in-process quality monitoring strategy for fdm-type 3d printer using deep learning. Applied Sciences, 12(17), 8753.
195.
Igboanusi, I.S., Allwinnaldo,A., Alief, R.N., Ansori, M.R.R., Lee, J.-M., Kim, D.-S. Smart auto mining (SAM) for industrial IoT blockchain network , IET Commun., Vol. 16, no. 18, pp. 2123-2132, November 2022.
194.
Zainudin, A., Ahakonye, L. A. C., Akter, R., Kim, D. S., & Lee, J. M. (2022). An efficient hybrid-dnn for ddos detection and classification in software-defined iiot networks. IEEE Internet of Things Journal, 10(10), 8491-8504.
193.
Fabliha Bushra Islam, Jae-Min Lee and Dong-Seong Kim, Smart Factory Floor Safety Monitoring using UWB Sensor , IET Science, Measurement & Technology, Vol. 16, no. 7, pp. 415-425, September, 2022.
192.
Huynh-The, T., Pham, Q. V., Nguyen, T. V., Nguyen, T. T., da Costa, D. B., & Kim, D. S. (2022). RanNet: Learning residual-attention structure in CNNs for automatic modulation classification. IEEE Wireless Communications Letters, 11(6), 1243-1247.
191.
Huynh-The, T., Nguyen, T. V., Pham, Q. V., da Costa, D. B., & Kim, D. S. (2022). MIMO-OFDM modulation classification using three-dimensional convolutional network. IEEE Transactions on Vehicular Technology, 71(6), 6738-6743.
190.
Musaddiq, A., Ali, R., Kim, S. W., & Kim, D. S. (2022). Learning-based resource management for low-power and lossy IoT networks. IEEE Internet of Things Journal, 9(17), 16006-16016.
189.
Nwadiugwu, W. P., & Kim, D. S. (2021). Compressed Time-Frequency Channel Beamforming Using Empirical MIMO-UWB RFs for Indoor Jobshop. IEEE Sensors Journal, 22(6), 5457-5469.
188.
Simeon Okechukwu Ajakwe, Vivian Ukamaka Ihekoronye, Dong-Seong Kim, Jae Min Lee, DRONET: Multi-Tasking Framework for Real-Time Industrial Facility Aerial Surveillance and Safety, Drones, vol. 6, no. 2, 46; https://doi.org/10.3390/drones6020046
187.
Nwadiugwu, W. P., & Kim, D. S. (2022). Reconfigurable Physical resource block using novel–Beamforming filter circuit for LTE-based cell-edge terminals. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 41(11), 5131-5135.
186.
Tuli, E. A., Golam, M., Kim, D. S., & Lee, J. M. (2022). Performance enhancement of optimized link state routing protocol by parameter configuration for UANET. Drones, 6(1), 22.
185.
Tran-Dang, H., & Kim, D. S. (2021). The physical internet in the era of digital transformation: perspectives and open issues. Ieee Access, 9, 164613-164631.
184.
Rubina Akter, Van-Sang Doan, Thien Huynh-The, and Dong-Seong Kim, “RFDOA-Net: An Efficient ConvNet for RF-based DOA Estimation in UAV Surveillance Systems”, IEEE Transactions on Vehicular Technology, vol.7, pp. 12209-12214, November 2021. DOI: 10.1109/TVT.2021.3114058
183.
Kim, D. S., Hoa, T. D., & Thien, H. T. (2022). On the reliability of industrial internet of things from systematic perspectives: Evaluation approaches, challenges, and open issues. IETE Technical Review, 39(6), 1277-1308.
182.
Kim, S. H., Moon, C. B., Kim, J. W., & Kim, D. S. (2021). A hybrid deep learning model for automatic modulation classification. IEEE Wireless Communications Letters, 11(2), 313-317.
181.
Ryu, W. J., Kim, J. W., Shin, S. Y., & Kim, D. S. (2021). On the performance evaluations of cooperative retransmission scheme for cell-edge users of URLLC in multi-carrier downlink NOMA systems. Sensors, 21(21), 7052.
180.
Mareska Pratiwi Maharani, Jae-Min Lee and Dong-Seong Kim, Bearing Fault Detection using Autoencoder-LSTM for Smart Factory , IEEE Transactions on Industrial Informatics, 2021 (With editor))
179.
Akter, R., Doan, V. S., Lee, J. M., & Kim, D. S. (2021). CNN-SSDI: Convolution neural network inspired surveillance system for UAVs detection and identification. Computer Networks, 201, 108519.
178.
Amaizu, G. C., Maradapu Vera Venkata Sai, A., Siddula, M., & Kim, D. S. (2025). Cost-Efficient Hybrid Filter-Based Parameter Selection Scheme for Intrusion Detection System in IoT. Electronics, 14(4), 726.
177.
Ghadi, Yazeed Yasin, Madiha Javeed, Mohammed Alarfaj, Tamara Al Shloul, Suliman A. Alsuhibany, Ahmad Jalal, Shaharyar Kamal, and Dong-Seong Kim. "MS-DLD: Multi-sensors based daily locomotion detection via kinematic-static energy and body-specific HMMs." IEEE Access 10 (2022): 23964-23979.
176.
Nwadiugwu, W. P., Kim, S. H., & Kim, D. S. (2021). Precise-point-positioning estimations for recreational drones using optimized cubature-extended kalman filtering. IEEE Access, 9, 134369-134383.
175.
Rahim, T., Magdalena, R., Pratama, I. P. A. E., Novamizanti, L., Ramatryana, I. N. A., Shin, S. Y., & Kim, D. S. (2022). Basis pursuit with sparsity averaging for compressive sampling of iris images. IEEE Access, 10, 13728-13737.
174.
Huynh-The, T., Hua, C. H., Doan, V. S., Pham, Q. V., & Kim, D. S. (2021). Accurate deep CNN-based waveform recognition for intelligent radar systems. IEEE Communications Letters, 25(9), 2938-2942.
173.
Love Allen Chijioke Ahakonye, Amaizu Gabriel Chukwunonso, Cosmas Ifeanyi Nwakanma, Jae Min Lee, Dong-Seong Kim, An Efficient Hybrid SCADA Network Vulnerability Detection and Characterization Technique. IEEE Transactions on Emerging Topics (R)
172.
Hoa Tran-Dang, Dong-Seong Kim: A distributed resource allocation algorithms for task offloading in fog-enabled IoT systems , ICT express (selected from ICUFN 2021) (Pr)
171.
Pham, X. Q., Huynh-The, T., Huh, E. N., & Kim, D. S. (2022). Partial computation offloading in parked vehicle-assisted multi-access edge computing: A game-theoretic approach. IEEE Transactions on Vehicular Technology, 71(9), 10220-10225.
170.
Pham, X. Q., Nguyen, T. D., Huynh-The, T., Huh, E. N., & Kim, D. S. (2022). Distributed cloud computing: architecture, enabling technologies, and open challenges. IEEE consumer electronics magazine, 12(3), 98-106.
169.
Thien Huynh-The and Dong-Seong Kim, RF-based Amateur Drone Surveillance for the Internet-of-Things with Deep Learning , IEEE Internet of Things Magazine. (S)
168.
Huynh-The, T., Pham, Q. V., Nguyen, T. V., Nguyen, T. T., Ruby, R., Zeng, M., & Kim, D. S. (2021). Automatic modulation classification: A deep architecture survey. IEEE Access, 9, 142950-142971.
167.
Rubina Akter, Van-Sang Doan, Jae-Min Lee, and Dong-Seong Kim, Low-Complexity Convolution Neural Network for Accurate Arrival-of-Angle Estimation in Low SNR, IEEE Wireless Communications Letters , 2021. (In revision)
166.
Rahim, T., Novamizanti, L., Ramatryana, I. N. A., Shin, S. Y., & Kim, D. S. (2021). Total variant based average sparsity model with reweighted analysis for compressive sensing of computed tomography. IEEE Access, 9, 119158-119170.
165.
Ikechi Saviour Igboanusi, Kevin Putra Dirgantoro, Jae-Min Lee, Dong-Seong Kim, Blockchain side implementation of Pure Wallet (PW): An offline transaction architecture, ICT Express, Volume 7, Issue 3, 2021, Pages 327-334, ISSN 2405-9595, https://doi.org/10.1016/j.icte.2021.08.004.
164.
Rubina Akter, Van-Sang Doan, Jae-Min Lee, and Dong-Seong Kim, “ Deep Learning-Based Surveillance System for Drones Detection and Activity Recognition”, IEEE Transactions on Vehicular Technology , 2021. (Pr)
163.
Rubina Akter, Van-Sang Doan, Jae-Min Lee, and Dong-Seong Kim, “ Low-Complexity Convolution Neural Network for Accurate Arrival-of-Angle Estimation Based Object Localization”, IEEE Transactions on Industrial Informatics, 2021. (Pr)
162.
Mark Verana, Made Adi Paramartha Putra, Jae Min Lee, Dong Seong Kim, Edge AI-based 3D Printer Monitoring and Fault Prediction , IEEE Transactions on Industrial Informatics, 2021 (Pr)
161.
Adinda Riztia Putri, Mareska Pratiwi Maharani, Goodness Oluchi Anyanwu, Cosmas Ifeanyi Nwankanma, Jae Min-Lee and Dong Seong Kim, Real-Time Fall Detection System using Embedded Machine Learning in Smart Spaces , IEEE Sensor Journal, 2021 (Pr)
160.
Mareska Pratiwi Maharani, Jae-Min Lee and Dong-Seong Kim, AI-Based Activity-Pattern Recognition in Smart Factory Floor , MDPI Applied Sciences journal, 2021 (Major Revisions)
159.
Rubina Akter, Godwin Tunze, Jae Min Lee, and Dong Seong Kim, An Efficient Convolution Neural Networks for RF-Based Drone Detection and Classification , IEEE IoT Journal, (Pr)
158.
Mareska Pratiwi Maharani, Jae-Min Lee and Dong-Seong Kim, and Bearing Fault Detection using Autoencoder-LSTM for SmartFactory , MDPI Sensors journal, 2021 (Resubmitted)
157.
Cosmas Ifeanyi Nwakanma, Goodness Oluchi Anyanwu, Jae Min Lee , Dong-Seong Kim , Thermal Array Sensor-Based Activity Detection in Smart Spaces using AI: A Review , IEEE Sensors Journal, (Resubmitted)
156.
Golam, M., Akter, R., Lee, J. M., & Kim, D. S. (2021). A long short-term memory-based solar irradiance prediction scheme using meteorological data. IEEE Geoscience and Remote Sensing Letters, 19, 1-5.
155.
Huynh-The, T., Nguyen, T. V., Pham, Q. V., da Costa, D. B., & Kim, D. S. (2022). MIMO-OFDM modulation classification using three-dimensional convolutional network. IEEE Transactions on Vehicular Technology, 71(6), 6738-6743.
154.
Tariq Rahim, Muhammad Arslan Usman, Soo Young Shin, and Dong Seong Kim, Comparing H.265/HEVC and VP9: Impact of High Frame Rates on the Perceptual Quality of Compressed Videos , IEEE Transactions on Multimedia. (Under review)
153.
Garcia, A. J., Aouto, A., Lee, J. M., & Kim, D. S. (2022). CNN-32DC: An improved radar-based drone recognition system based on Convolutional Neural Network. ICT Express, 8(4), 606-610.
152.
Dong-Seong Kim, Arslan Musaddiq, Regional Innovation at ICT Convergence Research Center , IEEE Transaction on Education, (Pr)
151.
Etobi Damian Tita, Williams-Paul Nwadiugwu, Jae Min Lee, Dong-Seong Kim, Real-time optimizations in energy profiles and end-to-end delay in WSN using two-hop information , Computer Communications, Vol. 172, pp. 169-182, April 2021. DOI : https://doi.org/10.1016/j.comcom.2021.02.007 (IF: 2.816)
150.
Nwadiugwu, W. P., & Kim, D. S. (2021). Novel MIMO-UWB-based AG-UG-AG routing with microbit sensors for WUSN. IEEE Sensors Letters, 5(3), 1-4.
149.
Tran-Dang, H., Kim, J. W., Lee, J. M., & Kim, D. S. (2025). Shaping the future of logistics: Data-driven technology approaches and strategic management. IETE Technical Review, 42(1), 44-79.
148.
Pervaiz, M., Ghadi, Y. Y., Gochoo, M., Jalal, A., Kamal, S., & Kim, D. S. (2021). A smart surveillance system for people counting and tracking using particle flow and modified SOM. Sustainability, 13(10), 5367.
147.
Moon, C. B., Lee, J. Y., Kim, D. S., & Kim, B. M. (2021). Inspection system for vehicle headlight defects based on convolutional neural network. Applied Sciences, 11(10), 4402.
146.
Kim, S. H., Kim, J. W., Nwadiugwu, W. P., & Kim, D. S. (2021). Deep learning-based robust automatic modulation classification for cognitive radio networks. IEEE access, 9, 92386-92393.
145.
Agron, Danielle Jaye, Lee, Jae-Min, Kim, Dong-Seong, Nozzle Thermal Estimation for Fused Filament Fabricating 3D Printer using Temporal Convolutional Neural Networks Applied Sciences, Vol. 11, no. 14, 6424, July 2021, DOI: 10.3390/app11146424
144.
Tran-Dang, H., & Kim, D. S. (2021). FRATO: Fog resource based adaptive task offloading for delay-minimizing IoT service provisioning. IEEE Transactions on Parallel and Distributed Systems, 32(10), 2491-2508.
143.
Sanjay Bhardwaj, Dong-Seong Kim, Dragonfly Interaction Algorithm for Optimization of , Physical Communication, 2021,(Pr).
142.
Sanjay Bhardwaj, Dong-Seong Kim, C-DRN Based Modulation Classification for Beyond 5G in Multipath Fading Channels , IEEE Transaction of Communication, 2021,(Submitted).
141.
140.
Jae-Woo, K., Dong-Seong, K., Kim, S. H., & Sang-Moon, S. (2021). Design and Implementation Scheme of QSFP28 Optical Transceiver for Long-Reach Transmission Using PAM4 Modulation. Applied Sciences, 11(6), 2803.
139.
Huynh-The, T., Doan, V. S., Hua, C. H., Pham, Q. V., Nguyen, T. V., & Kim, D. S. (2021). Accurate LPI radar waveform recognition with CWD-TFA for deep convolutional network. IEEE Wireless Communications Letters, 10(8), 1638-1642.
138.
Nwakanma, Cosmas Ifeanyi, Jae-Woo Kim, Jae-Min Lee, and Dong-Seong Kim. "Edge AI prospect using the NeuroEdge computing system: Introducing a novel neuromorphic technology." ICT Express 7, no. 2 (2021): 152-157.
137.
Sakir, R. K. A., Bhardwaj, S., & Kim, D. S. (2021). Enhanced faulty node detection with interval weighting factor for distributed systems. Journal of Communications and Networks, 23(1), 34-42.
136.
Nwakanma, C. I., Islam, F. B., Maharani, M. P., Lee, J. M., & Kim, D. S. (2021). Detection and classification of human activity for emergency response in smart factory shop floor. Applied Sciences, 11(8), 3662.
135.
Gabriel Amaizu, Cosmas Ifeanyi Nwakanma, Sanjay Bhardwaj, Jae-Min Lee and Dong-Seong Kim Composite and Efficient DDoS Attack Detection Framework for B5G Networks , Computer Networks, Vol. 188, 107871, January 2021, DOI: https://doi.org/10.1016/j.comnet.2021.107871.
134.
Seung-Hwan Kim, Jae-Woo Kim, Williams-Paul Nwadiugwu and Dong-Seong Kim, Deep Learning-based Robust Automatic Modulation Classification for Cognitive Radio Networks , IEEE Wireless Communications Letters, (IF: 4.660), 2020. (R)
133.
Alifia Putri Anantha, Muhammad Rusyadi Ramli, Jae-Min Lee, and Dong-Seong Kim, Deep Reinforcement Learning with Edge Computing in Faulty-Node Detection for Industrial Internet of Things , ICT Express, 2020 (R)
132.
Williams-Paul Nwadiugwu and Dong-Seong Kim, Drone-enabled JT-CoMP Mobile Consumer Terminals: Novel Beamforming Interfacing & Interference Coordination , IEEE Trans. on Consumer Electronics, 2021, (S)
131.
Williams-Paul Nwadiugwu and Dong-Seong Kim, Joint Physical Resource Block Architecture using Hybrid Beamforming for Mobile Base Station-to-UAV Cell-edges , IEEE TCAS II: Express Briefs, 2021, (S).
130.
Williams-Paul and Dong-Seong Kim Precise–Point–Positioning for Competing–game Drones using Hybrid Cubature+Extended KF , Applied Sciences, 2021, (S).
129.
Godwin Brown Tunze, Thien Huynh-The, Jae-Min Lee, and Dong-Seong Kim,“Sparsely Connected CNN for Efficient Automatic Modulation Recognition,” IEEE Trans. Veh. Technol., vol. 69, no. 12, pp. 15557–15568, Dec. 2020
128.
S. Karmal, H. Kang, C. A. A. Meza and D.-S. Kim, Improved Dual Sinc Pulses to Reduce ICI Power and PAPR in OFDM-based Systems ,KSII Transactions on Internet and Information Systems, vol.14, no.12, pp. 4927-4945, Dec. 2020. IF : 0.648, DOI : 10.3837/tiis.2020.12.017
127.
Sanjay Bhardwaj, Dong-Seong Kim,''Double Deep Q-Learning Based CoMP in Industrial Wireless Networks for eURLLC IEEE Wireless Communication Letters,2020 (S)
126.
Amaizu Gabriel, Ugochukwu Akpudo ,Jae-Min Lee and Dong-Seong Kim Hybrid Filter-wrapper-based Parameter Selection Approach for Cost-Efficient DDoS Attack Detection , IEEE Internet of Things - 2020 (R)
125.
V.S. Doan, T. Huynh-The, D. S. Kim, Underwater Acoustic Target Classification based on Dense Convolutional Neural Network , IEEE Geoscience and Remote Sensing Letters, (Early Access), pp.1-5, Oct. 2020. DOI: 10.1109/LGRS.2020.3029584
124.
S. H. Kim, J. W. Kim, V. S. Doan and D. S. Kim: Lightweight Deep Learning Model for Automatic Modulation Classification in Cognitive Radio Networks , IEEE Access, vol. 8, pp. 197532 - 197541, Oct. 2020. IF: 3.745
123.
Hoa Tran-Dang, Nicolass Krommenacker, Patrick Charpentier, Dong-Seong Kim: The Internet of Things for Logistics:oT for Logistics: Perspective, Application Review and Challenges , IETE Technical Review, DOI: 10.1080/02564602.2020.1827308, (IF:1.88)
122.
Heidy Indrayani, Ade Pitra Hermawan, Sanjay Bhardwaj Rizki Rivai Ginanjar, Dong-Seong Kim and Jae-Min Lee, Split Super-resolution for CSI Reconstruction using Transfer Learning in MIMO System , ICT Express Journal (P)
121.
Sanjay Bhardwaj, Dong-Seong Kim Dragonfly Approach for Resource Allocation in Industrial Wireless Network , Physical Communication, Vol. 43, 101198, December 2020
120.
Hoa Tran-Dang, Dong-Seong Kim: Link delay and Channel Aware Routing protocols for Cognitive Sensor Networks , IET Communications, Vol. 14, no. 20, pp. 3639 –3651, December 2020
119.
Williams-Paul Nwadiugwu, Jae-Min Lee and Dong-Seong Kim Hybrid (CKF + EKF) for Next-Generation 4-D UAV Trajectory in Space-Air-Ground Integrated Network , Intelligent & Robotics Systems, 2021. (S)
118.
Williams-Paul Nwadiugwu and Dong-Seong Kim Aboveground-to-Underground Topology Control with Distributed MIMO-Ultrawideband-RF Models for Jobshop Environment , IEEE Sensors Journal, 2020. (In revision)
117.
Williams-Paul Nwadiugwu and Dong-Seong Kim, Memory-aware AD-DDS for Service-oriented Distributed Collaborative Simulation Synergy , IEEE Trans. on Broadcasting Services, 2020. (S)
116.
Thien Huynh-The, Hua, Cam-Hao; Anh Tu, Nguyen; Kim, Dong-Seong, Physical Activity Recognition with Statistical-Deep Fusion Model using Multiple Sensory Data for Smart Health, IEEE Internet of Things Journal, vol. 8, no. 3, pp. 1533-1543, Feb. 2021.
115.
Rizki Rivai Ginanjar, Sanjay Bhardwaj, Jae-Min Lee, and Dong-Seong Kim, Imperceptible Digital Data-Hiding in Audio File using Novel Rounding Modulation Technique , Computer Standard and Interface, 2020. (R)
114.
Godwin Brown Tunze, Thien Huynh-The, Jae-Min Lee, and Dong-Seong Kim, “Automatic Modulation Recognition using Deep CNN with Multilevel Attention Mechanism,” IEEE Signal Processing Letters, 2020. (Pr)
113.
Kevin Putra Dirgantoro, Jae-Woo Kim, Jae Min Lee, and Dong-Seong Kim, BoM: Blockchain over MMS Communication for Secure IIoT using 1D CNN , IEEE Transactions on Industrial Informatics, 2020. (S)
112.
Bhardwaj, S., Kim, DS. Dragonfly-based swarm system model for node identification in ultra-reliable low-latency communication. Neural Comput & Applic 33, 1837–1880 (2021). https://doi.org/10.1007/s00521-020-05056-6
111.
Ade Pitra Hermawan, Rizki Rivai Ginanjar, Dong-Seong Kim and Jae-Min Lee, “Energy Efficient-based Data Recovery using Multidirectional LSTM in Wireless Sensor Networks“, IEEE/ACM Embedded System Letters (Pr)
110.
Seung-Hwan Kim, Jae-Woo Kim, Dong-Seong Kim, Energy Consumption Analysis of Beamforming and Cooperative Schemes for Aircraft Wireless Sensor Networks Applied Sciences, vol.10, no.12, pp.4374-4391, June 2020. (IF:2.474), DOI : 10.3390/app10124374
109.
M. T. Ramadhan, R. R. Ginanjar, D.-S. Kim and J.-M. Lee, Multiple-Input LSTM Based Movement Prediction in 3D Space , IET Electronics Letter(S)
108.
Nita Hidayati, Rizki Rivai Ginanjar, Ade Pitra Hermawan, Jae-Min Lee, Dong-Seong Kim, Real-Time Embedded data anomaly framework using online machine learning scheme, ICT Express Journal (S)
107.
Md Sajjad Hossain, Cosmas Ifeanyi Nwakanma, Jae-Min Lee, Dong-Seong Kim Edge Computational Task Offloading Scheme using Reinforcement Learning for IIoT Scenario ICT Express, Vol. 6, no. 4, pp. 291-299, December 2020,
106.
Kevin Putra Dirgantoro, Jae-Woo Kim, Jae Min Lee, and Dong-Seong Kim, Secure M2M Communication of Industrial IoT using Manufacturing Message Specification (MMS) with Blockchain , IEEE Transactions on Industrial Electronics, 2020. (S)
105.
Jae-Woo Kim, Dong-Seong Kim, Seung-Hwan Kim and Sang-Moon Shin The Firmware Design and Implementation Scheme for C Form-Factor Pluggable Optical Transceiver , Applied Sciences, Vol. 10, no. 6. 2143, March 2020
104.
G. Gashema and D.S Kim Optimal Sensing and Interference Suppression in 5G Cognitive Radio Networks, Journal of Communications, vol.15, pp.303-308, Apr.2020 (A)
103.
W. Nwadiugwu and D. Kim, Ultrawideband Network Channel Models for Next-Generation Wireless Avionic System, IEEE Transactions on Aerospace and Electronic Systems, Vol. 56, no. 1, pp. 113-129, Feb. 2020. (IF: 3.672)
102.
M. R. Ramli, P. T. Daely, D-S. Kim, and J. M. Lee, IoT-based Adaptive Network Mechanism for Reliable Smart Farm System , Computers and Electronics in Agriculture, Vol. 170, 105287, March 2020
101.
J.-H. Cha and D.-S. Kim, Light-weighted DDS for Industrial IoT base Edge Computing , Industrial Informatics, 2020 (Pr)
100.
Cosmas Ifeanyi Nwakanma, Md. Sajjad Hossain, Jae-Min Lee and Dong-Seong Kim, Towards Machine Learning Based Analysis of Quality of User Experience (QoUE) International Journal of Machine Learning and Computing, vol. 10, no. 6, pp. 752-758, Nov. 2020
99.
Hoa Tran-Dang, Nicolass Krommenacker, Patrick Charpentier, Dong-Seong Kim, Towards IoT for Physical Internet: Perspective and Challenges , IEEE Internet of things journal, DOI: 10.1109/JIOT.2020.2971736, (Q1, IF: 9.5) (A)
98.
Rizki Rivai Ginanjar, Ade Pitra Hermawan, Jae-Min Lee, and Dong-Seong. Kim, UAV-Based Sensor Nodes Localization Scheme utilizing Shallow Neural Network , IEEE Transactions on Industrial Informatics, 2020. (R)
97.
Kevin Putra Dirgantoro, Williams Paul Nwadiugwu, Jae Min Lee, and Dong-Seong Kim, Dual Fieldbus Industrial IoT Networks using Edge Server Architecture , Elsevier Manufacturing Letters, Vol. 24, pp. 108-112, April 2020. (IF: 1.07)
96.
Thien Huynh-The, Cam-Hao Hua, Quoc-Viet Pham, Dong-Seong Kim, MCNet: An Efficient CNN Architecture for Robust Automatic Modulation Classification , IEEE Communication Letters, vol. 24, no. 4, pp. 811-815, April 2020
95.
Gaspard Gashema and Dong-Seong Kim Throughput Enhancement under Full-Duplex with SI-Suppression in 5G Cognitive Radio Networks, wireless personal communication, 2020 (S)
94.
A. P. Hermawan, R. R. Ginanjar, D. S. Kim, and J. M. Lee, CNN-based Automatic Modulation Classification for Beyond 5G Communications , IEEE Communications Letters, Vol. 24 , no. 5, pp. 1038-1041, May 2020.
93.
Sanjay Bhardwaj and Dong-Seong Kim, Priority-Aware Two-Phase MAC Scheduling for Ultra-Reliable Low-Latency Communications in IEEE 802.11ax-Based Industrial Wireless Networks , wireless personal Communication, 2020. (S)
92.
V. S. Doan and D. S. Kim, DOA Estimation of Multiple Non-coherent and coherent Signals Using Element Transposition of Covariance Matrix , ICT Express, vol. 6, no. 2, pp. 67-75, June 2020. DOI : doi.org/10.1016/j.icte.2020.03.008
91.
T. Huynh-The, C.-H. Hua, T.-T. Ngo, and D.-S. Kim, Image Representation of Pose-Transition Feature for 3D Skeleton-Based Action Recognition , Information Sciences (SCI, IF: 5.52), Vol. 513, pp. 112-126, March 2020 (A)
90.
V. S. Doan, H. T. Dang, D. S. Kim: A Survey on Direction of Arrival Estimation Methods for Internet of Battlefield Things , IEEE Internet of Things Journal (IF: 9.5, Pr)
89.
Riesa Krisna Astuti Sakir, Muhammad Rusyadi Ramli, and Doeng-Song Kim, Deep Reinforcement Learning for Traffic Signal Optimization in Edge-based Traffic Control System , ELSEVIER Computers and Electrical Engineering, 2019 (In revision)
88.
T. Huynh-The, C.-H. Hua, N. A. Tu, D.-S. Kim, Learning 3D Spatiotemporal Pose Feature by Deep-CNN for Person Identification, will be published Neurocomputing ( IF:4.072), 2020.
87.
G. Gashema, D.-S. Kim, and J.-M. Lee Spectral Efficiency Improvement Based on Small Cells Deployments towards 5G Communication Technologies IEIE Transactions on Smart Processing & Computing, vol. 8, no. 2, pp. 126-135, 2019 (A)
86.
Sang-Hyun Hwang and Dong-Seong Kim, Hybrid Helmet Pose Tracking System using Adaptive Complementary Filter , Measurement (IF: 3.7), Vol.146, pp. 186-194, 2019 (A)
84.
H. Tran-Dang, D.-S. Kim Channel-Aware and Energy Efficient Two-Hop Cooperative Routing in Underwater Acoustic Sensor Networks , IEEE Access (IF: 3.57, ISSN: 2169-3536), vol. 7, pp. 63181 - 63194, 2019 (A)
83.
A. Abdukhakimov, S. Bhardwaj, G. Gashema, and D.-S. Kim, Reliability Analysis in Smart Grid Networks Considering Distributed Energy Resources and Storage Devices , International Journal of Electrical and Electronic Engineering & Telecommunications, Vol. 8, No. 5, pp.233-237, Sept. 2019 (A)
82.
Nita Hidayati, Riski Rivai Ginanjar, Jae-Min Lee and Dong-Seong Kim, Faulty Node Detection Scheme for WirelessHART using n-Bits BCH Code , ETRI Journal, 2019. (S)
81.
Muhammad Rusyadi Ramli, Dong-Seong Kim, Jae Min Lee, Hybrid MAC Protocol for UAV-Assisted Wireless Sensor Networks , Internet of Things, 2019
80.
Trung-Thanh Ngo, Abdukhakimov Asatilla and Dong-Seong Kim, Long-range Wireless Tethering Selfie Camera System using Wireless Sensor Network , IEEE Access, Vol.7, pp. 108742 - 108749, August 2019
79.
Dong-Seong Kim and Jae-Min Lee, Creative Thingking and Project based Class Management at ICT Convergence Research Center , IEEE Transaction on Education, 2019. (Pr)
78.
W. Nwadiugwu, J. Lee and D.-S. Kim, Novel MA-VFBC Based Deployment of Obstacle-Avoiding Scattered Sensors for Region-of-Interest Incidence Monitoring, IEEE Access, Vol. 8, pp. 3065-3075, 2020. (IF: 3.745)
77.
Seung-Hwan Kim, Jae-Woo Kim, Dong-Seong Kim, Performance Analysis of Beamforming and Cooperative Schemes with NLoS for Wireless Sensor Network in Aircraft , Computer Standards & Interfaces, 2018 (in Revision)
76.
A. Jalal, S. Kamal and Dong-Seong Kim, Detecting Complex 3D Human Motions with Body Model Low-Rank Representation for Real-Time Smart Activity Monitoring System , KSII Transactions on Internet and Information Systems, (ISSN : 1976-7277), vol. 12, no. 3, pp. 1189-1204, 2018 (A)
75.
T. Huynh-The, C.-H. Hua, N. A. Tu, D.-S. Kim, Locally Statistical Dual-Mode Background Subtraction Approach , IEEE Access (ISSN: 2169-3536), vol. 7, pp. 9769-9782, 2019
74.
H. Tran-Dang, D.-S. Kim: Channel-Aware Cooperative Routing in Underwater Acoustic Sensor Networks , Journal of Communications and Networks (IF: 1.252, ISSN: 1229-2370), vol. 51, no. 1, 2019 (A)
73.
S.-H. Kim, D.-H. Kim, and D.-S. Kim, Design of Smart Platform-based Event-Log Analysis and Parameter-modifying Software for Naval Combat Systems , IEIE Transactions on Smart Processing & Computing(IEIE SPC), (ISSN: 2287-5255), vol. 7, no. 5, pp. 385-391, 2018. (A)
72.
D.-H. Kim, H.-Y. Lee, and D.-S. Kim, Enhanced Industrial Message Protocol for Real-time IoT Platform , IEIE Transactions on Smart Processing & Computing(IEIE SPC), (ISSN: 2287-5255), vol. 7, no. 5, pp. 378-384, 2018. (A)
71.
J. H. Cha and D.-S. Kim, Design and Implementation of Real-Time Monitoring Tool for Data Distribution Service , IEIE Transactions on Smart Processing & Computing (ISSN: 2287-5255), vol. 7, no. 4, pp. 264-270, 2018. (A)
70.
A. A. Pranata, T.-S. Jun, and D.-S. Kim, Overhead Reduction Scheme for SDN-based Data Center Networks , Computer Standards & Interfaces (IF: 1.465, ISSN: 0920-5489), vol. 63, pp. 1-15, 2018 (A)
69.
W. P. Nwadiugwu, D.-S. Kim and J.-M. Lee, Real-Time Energy-Efficient Deployment of Mobile Sensors in Disaster-Prone Locations , International Journal of Communication Networks and Distributed Systems, Vol. 23, No. 3, pp. 307 - 327, Feb 2019. (IF: 0.21)
68.
H. Tran-Dang and D.-S. Kim, An Information Framework for Internet of Things in Physical Internet , IEEE Access (IF: 3.557, ISSN: 2169-3536), vol. 6, pp. 43967-43977, 2018 (A)
67.
H. Tran-Dang and D.-S. Kim, Efficient Bandwidth-Aware Routing for Underwater Cognitive Acoustic Sensor Networks , IET Wireless Sensor Systems (ISSN: 2043-6394), vol. 9, no. 2, pp. 77-84, 2019 (A)
66.
N. B. Long, H. Tran-Dang and D.-S. Kim, Energy-Aware Real-Time Routing for Large-Scale Industrial Internet of Things , IEEE Internet of Things Journal (IF: 5.863, ISSN 2327-4662), vol. 5, no. 3, pp. 2190-2199, 2018 (A)
65.
A. Jalal, S. Kamal and D.-S. Kim, Detecting Complex 3D Human Motions with Body Model Low-Rank Representation for Real-Time Smart Activity Monitoring System , KSII Transactions on Internet and Information Systems (IF : 0.611, ISSN : 1976-7277), vol. 12, no. 3, pp. 1189-1204, 2018 (A)
64.
Seung-Han Kim and Dong-Seong Kim, Smart Platform based Log Data Gathering and Analysis Tool for Naval Combat System , Defence Science Journal (IF: 0.510, ISSN: 0011-748X), 2017. (S)
63.
Sang-Hyun Hwang and Dong-Seong Kim, Design and Performance Analysis of Hybrid Helmet Pose Tracking System using Adaptive Complementary Filter , IEEE Transanction on Industrial Electronics (IF: 7.050, ISSN: 0278-0046), 2017.
62.
N. T. Tuan, D.-S. Kim, and J.-M. Lee, On the Performance of Cooperative Transmission Schemes in Industrial Wireless Sensor Networks , IEEE Transactions on Industrial Informatics (IF: 5.430, ISSN: 1551-3203), vol. 14, no. 9, pp. 4007-4018, 2018.
61.
N. B. Long and D.-S. Kim, TDMA-Based Efficient Cooperative Relaying Selection Scheme in Multi-hop Wireless Networks , Computer Standards & Interfaces (IF: 1.465, ISSN: 0920-5489), vol. 53, pp. 39-47, 2017. (A)
60.
P. T. M. Thu, N. T. Tien, and D.-S. Kim, Geographical Awareness Hybrid Routing Protocol in Mobile Ad Hoc Networks , Wireless Networks (IF: 1.981, ISSN: 1572-8196), vol. 23, no. 1, pp. 1-13, 2017. (A)
59.
G. W. Adhane, D.-S. Kim, Distributed Control System for Ship Engines Using Dual Fieldbus , Computer Standards & Interfaces, (IF: 1.465, ISSN: 0920-5489), vol. 50, pp. 83-91, 2017. (A)
58.
Dong-Seong Kim, Syamsul Rizal, and I.-T. Park, Fault Detection System using Smart Networked Proximity Sensors for Ship Engine , IEEE Transactions on Industrial Electronics, (IF: 7.050, ISSN: 0278-0046), 2018. (Pr)
57.
H.-M. Lee, S.-H. Kim, J.-H. Cha and D.-S. Kim, MMS over MQTT Protocol for Industrial IoT Platform , International Journal of Advances in Computer Science & Its Applications (ISSN: 2250-3765), vol. 6 no. 2, pp. 91-93, 2016. (A)
56.
J.-H. Cha, S.-H. Kim, J.-Y. Im, and D.-S. Kim, Asymmetric Time Division Multiple Access Method for Tactical Radio Communication , International Journal of Advances in Computer Networks and Its Security (ISSN : 2250-3757), vol. 6 no. 2, 2016. (N1) (A)
55.
H.-H. Choi, D.-J. Min and D.-S. Kim, Design and Implementation of Intelligent Parking Guidance System based on Internet of Things (IoT) , International Journal of Advances in Computer Science & Its Applications (ISSN 2250-3765), vol. 6 no. 2, pp. 87-90, 2016. (A)
54.
T.-L. Pham, D.-S. Kim, Efficient Forwarding Protocol for Dual-Hop Relaying Wireless Networks , Wireless Personal Communications (IF: 1.200, ISSN: 1572-8196), vol. 89, issue 1, pp. 165-180, 2016. (A)
53.
Minh-Phuong Tran, Anh-Minh Le and Dong-Seong Kim, Adaptive Spectrum Handoff Scheme for Cognitive Ad Hoc Networks , Wireless Personal Communications, (IF: 1.200, ISSN: 0929-6212), 2015. (S)
52.
Minh-Phuong Tran, D.-S. Kim, Distributed Spectrum Handoff and Power Allocation Scheme for Cognitive UWB Industrial Networks , IEEE Trans. on Industrial Informatics (IF: 5.430, ISSN: 1551-3203), 2015. (Pr)
51.
Minh-Phuong Tran, Dong-Seong Kim, Renewal Process Based Energy-Aware Routing Algorithm for Cognitive Industrial Sensor Networks , IEEE Trans. on Industrial Informatics, (IF: 5.430, ISSN: 1551-3203), 2015. (Pr)
50.
M. Rizal Khaefi, D.-S. Kim, DDS Node Discovery Scheme with Dynamic Bloom Filters , Journal of Parallel and Distributed Computing (IF: 1.815, ISSN: 0743-7315), 2015. (N1 & N2)
49.
Tung Thanh Le, Thu Pham, D.-S. Kim, BEE: Bee-Inspired Algorithm for Zone Radius Determination in Independent Zone Routing Protocol for Mobile Ad Hoc Networks , Jurnal Teknologi (ISSN:2180-3722), 2015. (S)
48.
Y. Wei, D.-S. Kim, RER: Reliable and Energy-efficient Routing Protocol for Underwater Acoustic Sensor Networks , IEEE Journal of Oceanic Engineering (IF:2.065, ISSN:0364-9059), 2015. (S)
47.
N. B. Long, T. Nhon, D.-S. Kim, Rate-Estimation Based Relay Selection Scheme for Large-Scale Wireless Networks , IET Communications (IF: 1.443, ISSN: 1751-8628), vol. 10, no. 12, pp. 1501-1507, 2016 (A)
46.
D. D. Tan, D.-S. Kim, Cooperative Transmission Scheme for Multi-hop Underwater Acoustic Sensor Network , International Journal of Communication Networks and Distributed Systems (ISSN: 1754-3924), vol. 14, no. 1, pp. 1-18, 2015 (A)
45.
H. A. Putra, D.-S. Kim, Node Discovery Scheme of DDS for Combat Management System , Computer Standards & Interfaces (IF: 1.465, ISSN: 0920-5489), vol. 37, pp. 20-28, 2015 (A)
44.
T. Nhon, D.-S. Kim, Real-Time Message Scheduling for ISA100.11a Networks , Computer Standards & Interfaces (IF: 1.465, ISSN: 0920-5489), vol. 37, pp. 73–79, 2015 (A)
43.
W. Yang, D.-S. Kim, Enhanced Network Recovery Scheme on Real-Time Switched Ethernet for Naval Combat System , International Journal of Communication Networks and Distributed Systems (ISSN: 1754-3924), vol.14, no. 2, pp. 145-163, 2015. (A )
42.
S. Rizal and D.-S. Kim, Image Transmission in Military Network Using Bezier Curve , Journal of Advances in Computer Networks (ISSN: 1793-8244), vol. 3, no. 2, pp. 141-145, 2015 (A)
41.
S. Q. Hojiev, D.-S. Kim, Dynamic Load Balancing Algorithm Based on Users Immigration in Wireless LANs , Journal of Advances in Computer Networks (ISSN: 1793-8244), vol. 3, no. 2, pp. 114-118, 2015 (A)
40.
D. D. Tan, D.-S. Kim Interference-Aware Relay Assignment Scheme for Multi-Hop Wireless Networks for Wireless Networks , Wireless Networks (IF: 1.981, ISSN: 1570-8705), vol. 21, no. 7, pp. 2195-2207, 2015. (A)
39.
Syamsul Rizal and Dong-Seong Kim, Bandwidth Adaptation Scheme of Audio/Video Bridging Protocol for Industrial Networks , Jurnal Teknologi (ISSN: 0127-9696), 2015 (A)
38.
P. T. A. Quang, D.-S. Kim, Clustering Algorithm of Hierarchical Structures in Large-scale Wireless Sensor and Actuators Networks , Journal of Communications and Networks (IF: 1.252, ISSN: 1976-5541), vol. 17, no. 5, pp. 473 - 481, 2015 (A)
37.
D. A. Nugroho, S. Rizal, D.-S. Kim, Reconstruct Unrecoverable Data in Real-Time Networks Using Bezier Curve , IET Communications (IF: 1.443, ISSN: 1751-8628), vol. 9, no. 5, pp. 596 - 602, 2015.(A)
36.
Iyoga Don Frima Tarigan and Dong-Seong Kim, Performance Analysis of Cluster Server based on Storage Area Network (SAN) , Jurnal Teknologi (ISSN: 0127-9696), pp. 85-88, 2015 (A)
35.
D. A. Nugroho, A. Prasetiadi, and D.-S. Kim, Male-Silkmoth-Inspired Routing Algorithm for Large-Scale Wireless Mesh Networks , Journal of Communications and Networks (IF: 1.252, ISSN: 1976-5541), vol. 17, no. 4, pp. 384 - 393, 2015 (A)
34.
D. D. Tan, D.-S. Kim, Dynamic Traffic-Aware Routing Algorithm for Multi-Sink Wireless Sensor Networks , Wireless Networks (IF: 1.981, ISSN: 1572-8196), vol. 20, no. 6, pp. 1239-1250, 2014 (A)
33.
S.-W. Kim, W. Yang, D.-S. Kim, Bi-Directional Spring Damper Impedance for Path Control Scheme of Swarm Robot Systems , International Journal of Mechatronics and Manufacturing Systems (ISSN:1753-1047), vol. 7, no. 1, pp.1 - 20, 2014. (A)
32.
T. T. Le, D.-S. Kim, An Efficient Throughput Improvement through Bandwidth Awareness in Cognitive Radio Networks , Journal of Communications and Networks (IF: 1.252, ISSN: 1976-5541), vol. 16, no. 2, pp.146-154, 2014 (A)
31.
T.-L. Pham, D.-S. Kim, Routing Protocol Over Lossy Links for ISA100.11a Industrial Wireless Sensor Networks , Wireless Networks (IF: 1.981, ISSN: 1572-8196), vol. 20, no. 8, pp. 2359–2370, 2014 (A)
30.
T. M. Phuong, D.-S. Kim, Efficient Power Control Scheme for Cognitive Industrial Sensor Networks , International Journal of Control and Automation (ISSN: 2005-4297), vol. 7, no. 3, pp. 177-188, 2014. (A)
29.
T. Nhon, D.-S. Kim, Relay Selection Scheme for Hierarchical Wireless Sensor Networks , International Journal of Control and Automation (ISSN: 2005-4297), vol. 7, no. 3, pp. 147-160, 2014. (A)
28.
P. T. A. Quang, D.-S. Kim, Throughput-Aware Routing for Industrial Sensor Networks: Application to ISA100.11a , IEEE Trans. on Industrial Informatics (IF: 5.430, ISSN: 1551-3203), vol. 10, no. 1, pp. 351-363, 2014 (A)
27.
H. Q. Sardor, T. Y. Choe, Two-Level Dynamic Load Balancing Algorithm Using Load Thresholds and Pairwise Immigration , International Journal on Computer Science and Engineering (ISSN: 0975-3397), vol. 5, no. 3, pp. 211-220, 2013 (A).
26.
D. D. Tan, N. Q. Dinh, D.-S. Kim, GRATA: A Gradient-based Traffic-Aware Routing for Wireless Sensor Networks , IET Wireless Sensor Systems (ISSN: 2043-6394), vol. 3, no. 2, pp. 75-85, 2013. (A)
25.
A. Prasetiadi, D.-S. Kim, Faulty Node Detection in Distributed Systems Using BCH Code , IEEE Communications Letter (IF:2.723, ISSN:1089-7798), vol. 17, no. 3, pp. 620-623, 2013. (A)
24.
T. D. Hoa, D.-S. Kim, Data Forwarding Algorithm over Lossy Links in Wireless Sensor Networks , IEICE Communications Express (ISSN: 2187-0136), vol. 2, no. 10, pp. 453-458, 2013 (A)
23.
D. A. Nugroho, D.-S. Kim, Precoded DCT and Low Complexity SLM for PAPR Reduction in OFDM Systems , International Journal of Engineering and Industries (ISSN: 2093-5765), vol. 4, no. 4, pp. 43-49, 2013. (A)
22.
W. Yang, D.-S. Kim, A Synchronization Method for Industrial Wireless Network Inspired from Insects , International Journal of Engineering and Industries (ISSN : 2233-9418), vol. 4, no. 4, pp. 50-57, 2013. (A)
21.
N. Q. Dinh, D.-S. Kim, Performance Evaluation of Priority CSMA-CA Mechanism on ISA100.11a Wireless Network, Computer Standards & Interfaces (IF: 1.465, ISSN: 0920-5489), vol. 34, no. 1, pp. 117-123, 2012 (A)
20.
P. T. A. Quang, D.-S. Kim, Enhancing Real-Time Delivery of Gradient Routing for Industrial Wireless Sensor Networks , IEEE Trans. on Industrial Informatics (IF: 5.430, ISSN: 1551-3203), vol. 8, no. 1, pp. 61-68, 2012 (A)
19.
J.-H. Lee, D.-S. Kim, S.-Y. Shin ELBA: A New Efficient Load-Balancing Association in IEEE 802.15.4-Based Wireless Sensor Networks , IEICE Trans. on Communications (IF: 1.090, ISSN: 1745-1345), vol. 95, no.5, pp. 1830-1833, 2012 (A)
18.
D.-S. Kim, S.-K. Lee, Feasibility Analysis of Hybrid Control network based on Common Industrial Protocol , Computer Standards & Interfaces (IF: 1.465, ISSN: 0920-5489), vol. 33. no. 4, pp. 357-366, 2011 (A)
17.
D.-S. Kim, J. Jeon, P. Mohapatra, Scheduling of Wireless Control Networks based on IEEE 802.15.4: Mixed Traffic Environment , Control Engineering Practice (IF: 2.616. ISSN: 0967-0661), vol. 19, pp. 1223-1230, 2011 (A)
16.
D.-S. Kim, D.-H. Choi, P. Mohapatra Real-Time Scheduling Method of Descrete Networked Control Systems , Control Engineering Practice (IF: 2.616, ISSN: 0967-0661), vol. 17, no. 5, pp. 564-570, 2009. (A)
15.
D.-H. Choi, D.-S. Kim, Wireless Fieldbus for Networked Control System using LR-WPAN , International Journal of Control, Automation, and Systems (IF: 2.173, ISSN: 2005-4092), vol. 6, no. 1, pp. 1-7, 2008 (A)
14.
J. M. Heo, K. R. Lee, D.-S. Kim, W. H. Kwon, Adaptive Channel State Routing for Home Network Systems using Power Line Communications , IEEE Trans. on Consumer Electronics (IF: 1.802, ISSN: 0098-3063), vol. 53, no. 4, pp. 1410-1418, 2007 (A)
13.
J.W.Jung, D.-S. Kim, Wireless Management System for Pet Dog using Wireless Sensor Network , Lecture Notes on Computer Science (LNCS) (ISBN: 978-3-540-37366-7), pp. 423-438, 2007 (A)
12.
S.-Y. Shin, H.-S. Park, D.-S. Kim, W.-H. Kwon Performance Analysis of Single Bluetooth Piconet in Error-Prone Environments , Journal of Communication and Networks (IF: 1.252, ISSN: 1976-5541), vol. 9, no. 3, pp. 229-235, 2007 (A)
11.
D.-S. Kim, S.-Y. Shin, Wireless Pet-Dog Management System , Sensor Networks and Configuration (Fundamentals, Standards, Platforms, and Applications), (ISBN: 978-3-540-37366-7), pp. 423-348, 2007 (A)
10.
K.-J. Myung, J.-M. Lee, W.-H. Kwon, D.-S. Kim, Home Network Control Protocol for Home Network System IEEE Trans. on Consumer Electronics (IF: 1.802, ISSN: 0098-3063), vol. 52, no. 3, pp. 802-810, 2006 (A)
9.
D.-S. Kim, Z. J. Haas, Virtual Factory Communication Systems Using ISO 9506 Standard and Its Application to Networked Factory Machine , The Industrial Communication Systems Handbook, CRC Press, FL, November, 2004 (A)
8.
D.-S. Kim, W.-H. Kwon, Z. J. Haas, Implementation of Virtual Factory Communication Systems using Manufacturing Message Specification, The Handbook of Industrial Information Technology, CRC Press, FL, June, 2004 (A)
7.
D.-S. Kim, W.-H.Kwon, H.-S. Park , Geometric Kinematics and Application to Mobile Robot , International Journal of Control, Automation and Systems (IF: 2.173, ISSN: 2005-4092), vol. 1, no. 3, pp. 376-384, 2003 (A)
6.
D.-S. Kim, Y.-S. Lee, W.-H. Kwon, Maximum Allowable Delay Bounds in Networked Control Systems , Control Engineering Practice (IF: 2.616. ISSN: 0967-0661), vol. 11, no. 11, pp. 1301-1313, 2003 (A)
5.
D.-S. Kim, H.-J.Moon, W.-H.Kwon, Z. J. Haas, Efficient Computation for Evaluating Stochastic Petri Nets using Algebraic Operations , International Journal of Control, Automation and Systems (IF: 2.173, ISSN: 2005-4092), vol. 1, no. 4, pp. 431-443, 2003 (A)
4.
H.-S. Park, D.-S. Kim, W.-H. Kwon, A Scheduling Method for Network-based Control Systems , IEEE Trans. on Control System Technology (IF: 4.883, ISSN : 1558-0865), vol. 10, no. 3, pp. 318-330, 2002 (A)
3.
H.-S. Park, D.-S. Kim, W.-H. Kwon, A Scheduling Method for Network-based Control Systems , IEEE Trans. on Control System Technology (IF: 4.883, ISSN : 1558-0865), vol. 10, no. 3, pp. 318-330, 2002 (A)
D.-S. Kim, J.-M. Lee, W.-H. Kwon, I.-K. Yuh, Design and Implementation of Home Network System using UPnP middleware for Networked Appliances , IEEE Trans. on Consumer Electronics (IF: 1.802, ISSN: 0098-3063), vol. 48, no. 4, pp. 963-972, 2002 (A)
D.-S. Kim, K.-Y. Cho, W.-H. Kwon, Y.-I. Kwan, Y.-H.Kim, Home Network Message Specification of White Goods and Its Application , IEEE Trans. on Consumer Electronics (IF: 1.802, ISSN: 0098-3063), vol. 48, no. 1, pp. 1-10, 2002 (A)
30
29
젯슨나노 기초 및 활용(The basics and utilization of Jetson nano.) , 2021, 유페이퍼
28
Industrial Sensors and Controls in Communication Networks, D.-S. Kim and H. D. Tran, Springer, 2019.
27
26
Industrial Network System: From Firmware to IoT(산업용 통신망 시스템), 흥릉 과학 출판사, 김동성 저, 2018. 12
25
Military Real-time Networks(국방 융복합 실시간 통신망 기술), 2014, 학산 미디어
24
[월간자동화기술] 유무선 혼합 제어 통신망 연구사례 2012년 10월호
23
[월간자동화기술] 산업용 무선랜 기술 2012년 8월호
22
[월간자동화기술] Wireless HART 무선 제어망 기술 2012년 7월호
21
[PlantTech] 무선 제어망 기술 통한 효율적인 산업공장 적용 가능성 2012년
20
[월간자동화기술] 산업용 무선 제어망 기술 ISA100.11a 무선 제어망 2012년 6월호
19
[월간자동화기술] 무선 기술로 유선 필드버스 한계를 넘다. 2012년 5월호
18
17
16
Essentials of DeviceNet TechnologyDeviceNet(통신기술의 이해와 응용), (김동성, 조익영 공저, 2009년 10월, 청문각 )
15
14
제1회:산업용 통신망 모델링 (2008년 5월호), 제2회: 성능분석 방법(2008년 6월호)
13
[월간 CONTROL : "ICCP와 MMS의 이해와 응용(ICCP and MMS)" (김동성, August, 2008)]
12
제3회:수학적 해석 및 모의 실험(2008년 7/8월호), 제4회:응용 예를 통한 성능분석에 대한 이해(2008년 9월호)
11
10
9
[ 월간산업용통신망: 산업용무선필드버스 통신기술(Industrial Wireless Fieldbus Technology)(November, 2006), 김동성]
8
7
[ KISTI : 무선통신의 미래(Furture of Wireless Networks) (김동성, 2005) ]
6
[ KISTI : 미래선도기술 이슈분석 - 산업용무선필드버스(Wireless Fieldbus Technologies) (October, 2006) ]
5
[ 월간제어계측: 전력선 통신 기반의 응용 시스템 및 개발 현황 (Trends of Power Line Communication Systems)(김동성, April, 2001) ]
4
Essentials of Communication System Engineering(통신공학의 기초) (역서, 2007년, 인터비젼)
3
Understanding and Programmimg of MMS(국제생산 메시지 규약의 이해와 응용 프로그래밍) (권욱현, 김동성) (저서, 2008년 7월, ohm사)
2
DeviceNet Programming: Systematic analysis and Design(디바이스넷 프로그래밍: 체계적 분석에서 실습까지), (김동성, 청문각, 2010)
1
Industrial Fieldbus Networks(산업용 필드버스 통신망)(공저, 2004년, 성안당)]