成果介紹

研究計畫

許慶賢,基於智慧邊緣計算與服務管理架構設計高效多供應商物聯網協作 110-2221-E-468 -006 -MY3,2021-2024

許慶賢,支援5G網路切片之動態容器部署、遷移與負載平衡技術研究(Dynamic Container Deployment, Migration and Load Balancing Technology for Supporting 5G Network Slicing),2019-2022,MOST-108-2221-E-468-023-MY

許慶賢,邊緣計算於第五代行動通訊網路之車聯網應用(V2X Application based on 5G Local Access Data Network),2019-2022,MOST-108-2221-E-194-019-MY3

鄭家年,強化學習與生成對抗網路用於生產規劃與排程(Reinforcement learning and generative adversarial networks for production planning and scheduling),2020-2022,109-2221-E-468-005-MY2

許慶賢,雲端巨量資料平台開源系統軟體創作聯盟推動計畫-資料串流與訊息佇列技術,2019-2021

許慶賢,面向多雲環境保證多工作流服務質量的動態協同運算策略(Dynamic Collaborative Computing for Multiple Workflows with QoS Constraints in Cross Clouds),2018-2021,MOST-107-2221-E-468-022-MY3

鄭家年,管理學院學生對資訊跨領域學習之因素探討研究(Study of the Cross-Disciplinary Learning of Information Technology for Students in Management College),2019-2020,教學實踐研究計畫:PBM1080224


產學計畫

鄭家年,大數據智慧製造應用課程,財團法人金屬研究中心(受AI-GO計畫補助),2021

鄭家年、王昭能、何承遠,工業零組件預先診斷系統(智慧機械應用:福壽實業與華新麗華),資策會,2020-2021

鄭家年,大數據智慧製造應用專案輔導,康寧玻璃,2020

鄭家年、何承遠,大數據智慧製造應用課程,財團法人金屬研究中心(受AI-GO計畫補助),2020

鄭家年,智慧排程基因演算法導入案與強化學習規劃案,台塑,2019-2020


學術論文

Ibrahim A Elgendy, Wei-Zhe Zhang, Chuan-Yi Liu and Ching-Hsien Hsu, “An Efficient and Secured Framework for Mobile Cloud Computing”, IEEE Transactions on Cloud Computing, Vol. 9, Issue 2, pp. 79-87, Jan. 2021.

Liangtian Wan, Feng Xia, Xiangjie Kong, Ching-Hsien Hsu, Runhe Huang and Jianhua Ma, “Deep Matrix Factorization for Trust-Aware Recommendation in Social Networks” IEEE Transactions on Network Science and Engineering, Vol. 8, Issue 1, pp.511-528, Jan. 2021.

Xing Chen, Ming Li, Hao Zhong, Yun Ma and Ching-Hsien Hsu, “DNNOff: Offloading DNN-based Intelligent IoT Applications in Mobile Edge Computing” IEEE Transactions on Industrial Informatics, Early Access, April 2021. DOI 10.1109/TII.2021.3075464

Gunasekaran Manogaran, Revathi Sundarasekar, Vijayalakshmi Saravanan, Mamoun Alazab, P. Mohamed Shakeel, Ching-Hsien Hsu, “Blockchain Assisted Secure Data Sharing Model for Internet of Things based Smart Industries” IEEE Transactions on Reliability, Accepted and In Press, 2021.

BalaAnand Muthu, Sivaparthipan CB, Priyan Malarvizhi Kumar, Seifedine Nimer Kadry, Ching-Hsien Hsu, Oscar Sanjuan, Ruben Gonzalez Crespo “A Framework for Extractive Text Summarization based on Deep Learning Modified Neural Network Classifier”, ACM Transactions on Asian and Low-Resource Language Information Processing, Accepted and In Press, Mar. 2021. https://doi.org/10.1145/3392048, 2021.

Gunasekaran Manogaran, Mohamed Shakeel P, Baskar S, Ching-Hsien Hsu, Seifedine Nimer Kadry, Revathi Sundarasekar, Priyan Malarvizhi Kumar and Bala Anand Muthu, “FDM: Fuzzy-optimized Data Management Technique for Improving Big Data Analytics” IEEE Transactions on on Fuzzy Systems, DOI: 10.1109/TFUZZ.2020.3016346, 2021.

Hamideh Fatemidokht, Marjan Kuchaki Rafsanjani, Brij B. Gupta and Ching-Hsien Hsu, “Efficient and Secure Routing Protocol Based on Artificial Intelligence Algorithms With UAV-Assisted for Vehicular Ad Hoc Networks in Intelligent Transportation Systems”, IEEE Transactions on Intelligent Transportation Systems, Accepted and In Press, DOI: 10.1109/TITS.2020.3041746, 2021.

Qibo Sun, Jin Liang Xu, Xiao Ma, Ao Zhou, Ching-Hsien Hsu* and Shangguang Wang, “Edge-enabled Distributed Deep Learning for 5G Privacy Protection” IEEE Network Magazine, Accepted and In Press, May 2021.

Jia-Nian Zheng, Chen-Fu Chien, Jei-ZhengWu, “Multi-objective demand fulfillment problem for solar cell industry”, Computers & Industrial Engineering, Vol. 125, pp. 688-694, 2018.