Academic Research

实验室研究课题及成果

实现了仪器的数据集成、运行维护、数据采集、传输、存储、审核、统计、评价等日常业务功能, 能够应用多种模型算法对数据进行深入的挖掘及分析,从而实现了实时、定量的污染来源解析等功能。

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在空气污染监测数据的研究中,单源监测数据挖掘和多源数据直接融合挖掘的方法相继被提出, 用以解释属性间的相互影响。本研究从数据挖掘和不确定性信息融合理论的角度, 开展大气环境关键规则挖掘方法和技术研究。

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Papers

论文发布

  • 张英俊, Shaohai Hu,周围. Multiple attribute group decision making using J-divergence and evidential reasoning theory under intuitionistic fuzzy environment. Neural Computing and Applications, 2019. doi: 10.1007/s00521-019-04140-w (SCI期刊,影响因子4.664,An2)

  • 张英俊, Jiahu Qin, Peng Shi, Yu Kang. High-order intuitionistic fuzzy cognitive map based on evidential reasoning theory. IEEE Transactions on Fuzzy Systems, 2019, 27(1), 16-30(人工智能顶级期刊,SCI 影响因子8.759,An1)

  • 钱怡欣,周围,王春迎. Research on Multi-Source Data Fusion in the Field of Atmospheric Environmental Monitoring. The 13th International Conference on Computer Science & Education,648-652,2018 (EI会议检索,ISTP检索)

  • 孙程,李少华,周围等. Design an Ultra-low Adsorption Gas Sampling System for Ozone and Photochemical Continuous Online Monitoring Instruments, The 14th International Conference on Computer Science & Education,2019(EI会议检索,ISTP检索)

  • 钱怡欣,基于Apriori算法和证据推理的大气环境关键规则挖掘研究,指导老师:周围,张英俊。北京交通大学硕士论文,2019.6

  • 代伟敬,面向空气污染源筛查的数据挖掘算法研究,指导老师:周围,张英俊。北京交通大学硕士论文,2019.6

  • 李子凌,周围,王春迎等,Research on Association Rules Mining of Atmospheric Environment Monitoring Data,会议论文,2019.12

  • 刘晓倩,张航涛,李一,周围等.Evaluation of Different Machine Learning Approaches for Correcting Data from Air Quality Sensors, AGU2019, Dec.9-13, 2019, USA.

  • Haomin Yu,李清勇, Yangli-ao Geng,张英俊, ZhiWei. AirNet: A Calibration Model for Low-Cost Air Monitoring Sensors Using Dual Sequence Encoder Networks. The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20). (CCF A类会议)

Demo & Github

代码仓储